The retrofitting of existing reinforced concrete (RC) buildings with Cross-Laminated Timber (CLT) panels presents a promising approach for enhancing seismic performance and overall structural resilience. However, effective integration of CLT with existing RC structures poses significant challenges, particularly concerning the design of connections between CLT panels and the RC structure. This paper introduces a novel connection that addresses these challenges by focusing on both structural and architectural considerations. Structurally, the connection is engineered to provide optimal stiffness, strength, and deformation capacity, ensuring robust performance under seismic and dynamic loads. Architecturally, the design incorporates a pre-defined weak component that facilitates easy access and rapid replacement of damaged parts, thereby reducing downtime and maintenance efforts. The proposed connection was evaluated through a series of monotonic and cyclic loading tests, demonstrating its structural efficiency and reliability. The results indicate that the new connection system not only meets the necessary structural requirements but also offers practical benefits for maintenance and repair, contributing to the overall sustainability and resilience of retrofitted RC buildings. This innovative approach represents a significant advancement in the field of structural retrofitting, providing a viable solution for integrating CLT panels into existing RC frameworks.

This paper presents the development and testing of the passive Almaty Ankle Exoskeleton V.2. The device features a new design with three electric linear actuators, and the shin and foot platforms are connected by links with spherical and universal joints. Functional testing demonstrates the prototype's ability to operate effectively within the natural range of ankle joint movements. Preliminary results indicate that the exoskeleton can reduce calf muscle activation in the work limb where the device is applied. In this the passive exoskeleton is designed for dorsiflexion and plantarflexion, whose operation with numerical results is highlighted by focusing on parameters such as angular velocity, linear acceleration, and angles. These measurements provide valuable information about the exoskeleton's performance and efficiency.

Polymers synthesized with end-of-life consideration allow for recovery and reprocessing. ”Living-anionic polymerization (LAP)” and hydrosilylation reaction were utilized to synthesize hair-end furan functionalized hairy nanoparticles (HNPs) with hard polystyrene (PS) core and soft polydimethylsiloxane (PDMS) via a one-pot approach. The synthesis was carried out by first preparing the living core through cross-linking styrene with divinylbenzene using sec-butyl lithium, followed by the addition of the hexamethylcyclotrisiloxane (D3) monomer to the living core. The living polymer was terminated by dimethylchlorosilane to obtain the HNPs with Si-H functional end groups. The furan functionalization was carried out by the hydrosilylation reaction between Si-H of the functionalized HNP and 2-vinyl furan. Additionally, furan functionalized polystyrene (PS) and polydimethylsiloxane (PDMS) were also synthesized by LAP. 1H NMR and ATR-IR spectra confirm the successful synthesis of the target polymers. Differential scanning calorimetry shows two glass transition temperatures indicative of a poly(dimethylsiloxane) soft phase and a poly(styrene) hard phase, suggesting that the HNPs are microphase separated. The furan functionalized HNPs form thermo-reversible networks upon cross-linking with bismaleimide (BMI) via a Diels−Alder coupling reaction. The kinetics of the forward Diels–Alder reaction between the functionalized polymer and BMI were studied at three different temperatures: 50 °, 60 °, and 70 °C by UV-Vis spectroscopy. The activation energy for the furan functionalized HNPs reaction with the bismaleimide was lower compared to the furan functionalized polystyrene and poly(dimethylsiloxane) linear polymers. The crosslinked polymer network formed from the Diels−Alder forward reaction dissociates at around 140 °–154 °C, and the HNPs are recovered. The recovered HNPs can be re-crosslinked at 50 °C. The results suggest that furan functionalized HNPs are promising building blocks for preparing thermo-reversible elastomeric networks.

Complexity of issues in cancer research has led to the introduction of powerful computational tools for helping experimental in vivo and in vitro methods. These tools, typically focused on studying cell behavior and dynamic cell populations, range from systems of differential equations solved numerically, to lattice models and agent-based simulations. In particular, agent-based models (ABMs) are increasingly used for they capability to incorporate multi-scale features ranging from the individual up to the population level, thus combining statistically aggregated assumptions with individual heterogeneity. In this work, we present an ABM that simulates tumor progression in a colonic crypt, with the aim of providing an experimental in silico environment for testing results achieved in traditional laboratory research and developing alternative scenarios of tumor development. The model also allows some speculations about causal relationships in biologically inspired systems.

Our main result is that chaos in dimension $n+1$ is a one-dimensional geometrical object embedded in a geometrical object of dimension $n$ which corresponds to a $n$ dimensional object which is either singular or non-singular. Our main result is then that this chaos occurs in the first case as either on an isolated or non-isolated singularity. In the first case this chaos is either boundary chaos or spherical chaos which is what happens also in the non-singular case. In the case of an isolated singular geometry one has chaos which can either be boundary, spherical or tubular chaos. We furthermore prove that the prime numbers display quantum behaviour.

Heart rate and blood pressure, along with body temperature and respiratory rate, are two of the four parameters used to assess the state of bodily functions, as both measures are indicators of heart activity. Therefore, these measurements become a basic procedure in patient diagnosis, necessitating techniques that can obtain them accurately and reliably, while being as non-intrusive as possible for the patient. Using video data, these two vital signs can be determined at any time and place. To achieve this, artificial intelligence techniques such as machine learning and deep learning 6 can be applied to overcome the main limitations of conventional remote photoplethysmography (rPPG). This document explains the technical and methodological aspects involved, including the acquisition and preprocessing of video data, the extraction of the rPPG signal, and its subsequent processing, as well as the artificial intelligence model for heart rate estimation and the mathematical modeling for blood pressure estimation. We compared the results for heart rate and blood pressure extracted from videos recorded by a basic smartphone front-camera to a blood pressure monitor and achieved results with reasonable accuracy and correlation. These results are part of the AIVA project, grant agreement 2021/C005/00145071. This project has been funded by Red.es through the Spanish 2021 call for grants aimed at research and development projects in artificial intelligence and other digital technologies.

The development of innovative materials, based on the modern technologies and processes, is the key factor to improve the energetic sustainability and reduce the environmental impact of the electrical equipment. In particular, modeling of magnetic hysteresis is crucial for the design and construction of electrical and electronic devices. In recent years, additive manufacturing techniques are playing a decisive role in the project and production of magnetic elements and circuits for applications in various engineering fields. To this aim, the use of Deep learning paradigm, integrated with the most common models of the magnetic hysteresis process, has become increasingly present in recent years. Particularly in the paper, different Neural networks used in scientific literature, integrated with various hysteretic mathematical models, including the well-known Preisach model, are compared. It is shown that this hybrid approach not only improves the modelling of hysteresis by significantly reducing computational time and efforts, but also offers new perspectives for analysis and prediction of the behavior of magnetic materials, with significant implications for the production of advanced devices.

This paper presents the redesign process of FLIC, a web application developed for creating personal learning pathways in higher education, now adapted for primary and secondary education as FLIC-IPAFLEX. This redesign addresses the need to personalise learning through flexible pathways and supports teachers in designing learning situations (LS) in accordance with the criteria established by the new Education Law (LOMLOE). The SCRUM model, integrated into Design-Based Research (DBR), was employed, implementing several iterative cycles involving teachers to validate the tool's utility. The platform facilitates the creation, publication, and reuse of LS by enabling the filtering of competencies, evaluation criteria, and basic knowledge, as well as integrating with Google Classroom, an application widely used by teachers. The results show a positive user evaluation, highlighting its ease of use and capacity to foster collaboration among teachers, thereby promoting the co-design of flexible and adaptive LS. FLIC-IPAFLEX aims to contribute to the field of learning design technologies, aligning with the demands of compulsory education and supporting collaborative processes within the educational environment.

The gut microbiota plays a pivotal role in host metabolism, influencing the production of small metabolites from non-digestible compounds, which can accumulate in tissues and play important role in fatty acids synthesis for improving the meat quality. We investigate the breed-specific differences in longissimus dorsi (LD) muscle fatty acid profile, gut microbiota, and metabolites across the cecum, ileum, and rectum in Chinese Songliao Black pigs (SBP) and commercial Large White × Landrace crossbred pigs (LWLDP) and interactions. Significant correlations highlighting potential microbiota-metabolite interactions that contribute to muscle fatty acid composition. LWLDP pigs exhibited a higher number of significant fatty acids and maintained higher operational taxonomic units (OTUs) in the cecum and rectum, with no differences observed in the ileum between breeds. Firmicutes, Bacteroidetes, Proteobacteria, and Spirochaetes were the predominant phyla across both breeds. Differentially expressed metabolites (DEMs) were more abundant in the cecum and ileum of LWLDP, while rectum showed higher expression in SBP. Integrative analysis identified significant correlations between fatty acids, metabolites, and microbial taxa. DHA was linked to cecal metabolites and rectal microbial families, while saturated and unsaturated fatty acids were associated with different microbes and metabolites. This study demonstrates distinct breed-specific interactions between gut microbiota, metabolites, and fatty acid composition, offering insights into potential microbial interventions to enhance pork quality through fatty acid modulation.

Anaerobic digestion is a feasible solution for the treatment of organic wastes. The process can reduce the amount of biowaste by stabilizing the organic material and producing biogas susceptible to energetic valorization. However, the digestate needs further valorization when land application is considered unfeasible. Thermal treatments, such as gasification, pyrolysis, and hydrothermal carbonization, are alternatives capable of transforming this material into valuable syngas, obtaining, in many cases, a carbonized stream known as biochar. The feasibility of the process depends on the energy demand for the drying stage and the treatments available for removing contaminants from the syngas, attaining high-quality products, and treating the process-derived water. In the present manuscript, these critical aspects were reviewed considering the characteristics of digestates based on their origin, the modifications of this material during anaerobic digestion, and the way digestate structure affects the final thermal valorization outcome. Emphasis was placed on the energy demand of the global approach and by-product treatments.

Mercury, a toxic heavy metal produced through both natural and anthropogenic processes, is found in all major Earth’s systems. Mercury's bioaccumulation characteristics in the human body have a significant impact on the liver, kidneys, brain, and muscles. In order to detect Hg2+ ions, a highly sensitive and specific fluorescent biosensor has been developed using a novel, modified seven amino acid peptide, FY7. The tyrosine ring in the FY7 peptide sequence forms a 2:1 complex with Hg2+ ions that are present in the water-based sample. As a result, the peptide's fluorescence emission decreases with higher concentrations of Hg2+. The FY7 peptide's performance was tested in the presence of Hg2+ ions and other metal ions, revealing its sensitivity and stability despite high concentrations. Conformational changes to the FY7 structure were confirmed by FTIR studies. Simultaneously, we designed a miniaturized setup to support an in-house-developed micro-volume capillary container for volume fluorometry measurements. We compared and verified the results from the micro-volume system with those from the commercial setup. The micro-volume capillary system accommodated only 2.9 µL of sample volume, allowing for rapid, sensitive, and selective detection of toxic mercury (II) ions ranging from 0.02 µM.

Menstruation is a significant periodical factor in women's lives, affecting them from menarche to menopause. This study investigates the menstrual status and its impact on the performance of Korea Ladies Professional Golf Association (KLPGA) 1st Tour players using Latent Profile Analysis (LPA). The study involved 119 female KLPGA tour license professionals who participated in over 30 tournaments annually, requiring them to manage their menstrual cycles during competitions. A questionnaire collected data on demographics, menstrual cycle characteristics, and training hours. Four distinct player profiles were identified based on self-esteem, anxiety, and perceived performance. Profile 4 exhibited the highest self-esteem and perceived performance with the lowest anxiety levels, while Profile 1 showed the highest anxiety levels and lowest self-esteem. Cross-tabulation and ANOVA analyses highlighted significant differences in practice hours and athletic experience across profiles. The findings suggest that regular menstrual cycles and athletic experience are crucial in defining player profiles. These insights are valuable for coaches and professionals to develop tailored training and management strategies to enhance performance. Future research should expand the sample size and employ longitudinal methods to validate these results.

The aim of this study was to evaluate the psychometric properties of the Communication Skills Scale (CSS) among Peruvian nurses and its association with job insecurity during the COVID-19 pandemic. We explored five models of confirmatory factor analysis for the CSS and its four subscales and assessed the convergent validity and criterion validity of the scale by analyzing its connection with job insecurity through stepwise multiple regression. We used insights from a focus group for the cultural adaptation of the scale. In the psychometric phase, 225 nurses participated through a virtual survey. The psychometric analysis revealed that the CSS and its subscales have a robust internal structure—similar to the original questionnaire—and are optimally reliable in the Peruvian population. Furthermore, the results show that job insecurity was associated with contract type, communication skills, empathy, and job satisfaction. The CSS and its subscales are valid and reliable to be applied to Peruvian nurses. Initiatives should be undertaken to strengthen communication skills and increase job satisfaction among nursing professionals by improving their working conditions, especially in times of crisis, to reduce job insecurity and promote well-being.

A large amount of sea ice exists in the polar regions, which is prone to ship-ice collisions leading to ship breakage and sinking events. Complex environmental factors pose challenges to navigation safety, and it is particularly important to perceive the polar environment and make decisions in advance. In this paper, You only look once (YOLOv5) is targeted to be optimized according to the characteristics of ice remote sensing images, which includes adding Squeeze-and-Excitation (SE) attention mechanism, improving spatial pyramid pooling, and replacing Flexible Rectified Linear Unit (FReLU) activation function. In order to verify the effect of the optimized algorithm, ablation experiments are set up, and the accuracy of the optimized algorithm is improved by 3.5% com-pared with the original YOLOv5. Comparison experiments with other target identification algo-rithms are conducted, and the results show that the optimized YOLOv5 has higher accuracy and better robustness, and can identify small target sea ice that is difficult to identify in large-size re-mote sensing images. Polar ship path planning based on the identification results. The identifica-tion output of remote sensing ice images is used as the input for the construction of path planning maps, and raster maps corresponding to the actual polar scenes are built. Taking the path length, the number of ship turns, and the sea ice risk value as the objective function, the Any-Angle Path Planning on Grids (Theta*) algorithm is used to simulate the path planning under different sea conditions with different sea ice concentration, and a path with a shorter length, a smoother path, and a higher safety coefficient is found.

Background/Objectives: COVID-19 led to a pandemic that has brought misery to millions of people but more so to those with pre-existing conditions. For this infection, several antiviral drugs were employed, including remdesivir (R) and paxlovid [nirmatrelvir/ritonavir (NR)]; Methods: The current study compared the effectiveness of remdesivir and paxlovid treatment for COVID-19 patients with comorbid conditions. Data from a cohort of 151 adult patients with COVID-19 who also had associated comorbidities were used in this study. These patients were treated with antivirals according to local guidelines. The subjects included 78 case-patients assigned to group R and 73 to group NR; Results: In group NR, a considerable improvement in oxygen saturation was seen in the first 24 hours of treatment (p=0.010), but the levels were significantly higher from the second day of treatment (p <0.001) in group R of patients. At the end of the 5 days of treatment, the oxygen saturation improved statistically significantly compared to the admission day, but only in the R group (95.11±1.80; 91.76±1.80; p<0.001); Conclusions: Both drugs can be considered a breakthrough in the current treatment approach to the COVID-19 disease since they provide readily available options that can alleviate the severity of the disease and, hence, the prognosis of patients. That is why their effectiveness relies on the correct administration time and choosing the patient with suitable characteristics regarding the presence of comorbidities and the likelihood of the critical further development of the process.

The knee joint, a crucial element in human locomotion, is subjected to various mechanical loads during daily activities and athletic pursuits. It functions as a complex, weight-bearing structure, facilitating movement and absorbing the stresses and strains imposed by physical activities. This review delves into the knee joint's response to mechanical loading, with a particular emphasis on mechanotransduction—the intricate process by which cells within the joint convert mechanical stimuli into biochemical signals. These signals initiate a cascade of cellular responses that are fundamental to maintaining joint health, promoting repair, and adapting to changes in the mechanical environment. Understanding the underlying mechanisms of mechanotransduction is essential for developing effective rehabilitation strategies aimed at treating knee joint injuries and managing degenerative conditions such as osteoarthritis. These strategies are crucial in clinical settings to enhance recovery, improve joint function, and mitigate pain and disability associated with knee joint disorders. This comprehensive review synthesizes current research on the cellular and molecular pathways involved in knee joint mechanotransduction. It evaluates the impact of different mechanical loading modalities—such as compression, tension, shear, and hydrostatic pressure—on the various tissues within the knee joint, including cartilage, synovium, ligaments, and tendons. By examining how these different loading conditions affect cellular behavior and tissue integrity, the review aims to provide a nuanced understanding of the biomechanical and biological responses of the knee joint to mechanical stress. Furthermore, the review discusses the implications of these findings for rehabilitation practices. It explores how knowledge of mechanotransduction can be applied to develop targeted therapeutic interventions, including controlled loading protocols, exercise regimens, manual therapy techniques, and the use of orthotic devices. By leveraging these insights, clinicians can optimize rehabilitation strategies to enhance tissue repair, restore function, and prevent further joint degeneration. Mechanotransduction in the knee joint involves several key cellular components, such as mechanoreceptors, ion channels, and signaling pathways that are activated by mechanical stimuli. These components play significant roles in regulating the functions of chondrocytes, synoviocytes, and fibroblasts—the primary cell types within the knee joint. For instance, chondrocytes, which are the main cellular component of cartilage, respond to mechanical loading by adjusting the synthesis and degradation of extracellular matrix components, thereby maintaining cartilage integrity and function. The synovial fluid, produced by synoviocytes, lubricates the joint and provides essential nutrients to the avascular cartilage. Mechanical loading affects synoviocytes, modulating the production of synovial fluid components such as hyaluronic acid and lubricin, which are critical for joint lubrication and protection against wear. Similarly, fibroblasts in ligaments and tendons respond to mechanical stress by altering collagen production and remodeling the extracellular matrix, which is vital for maintaining the strength and elasticity of these structures. This review also addresses the role of various signaling pathways, including the MAPK, NF-κB, and Wnt pathways, in mediating the cellular responses to mechanical stimuli. These pathways orchestrate the complex interactions between mechanical forces and cellular activities, influencing gene expression, protein synthesis, and cellular metabolism. By understanding these pathways, researchers and clinicians can identify potential targets for therapeutic interventions aimed at enhancing mechanotransduction and promoting tissue repair. In summary, this review highlights the importance of mechanotransduction in the knee joint's response to mechanical loading and underscores its relevance in designing effective rehabilitation approaches. Through a detailed analysis of current research, it aims to bridge the gap between basic mechanobiology and clinical practice, offering a comprehensive framework for understanding and improving knee joint health. By integrating insights from mechanobiology into rehabilitation strategies, clinicians can develop more effective treatments to support knee joint recovery, enhance functional outcomes, and prevent long-term degeneration.

Tryptophan is an essential aromatic amino acid widely used in the pharmaceutical, agricultural, and food industries. Microbial fermentation, mainly using Escherichia coli, has become the preferred method for its production due to sustainability and lower costs. Optimizing tryptophan production requires careful control of various fermentation parameters, including nutrients, pH, temperature, and dissolved oxygen (DO) levels. Glucose, as the primary carbon source, must be fed at controlled rates to avoid metabolic overflow, which leads to byproduct accumulation and reduced production efficiency. Nitrogen sources, both organic (such as yeast extract) and inorganic (like ammonium), influence biomass growth and tryptophan yield, with ammonium levels requiring careful regulation to avoid toxic accumulation. Phosphate enhances growth but can lead to byproduct formation if used excessively. pH is another critical factor, with an optimal range between 6.5 and 7.2, where enzyme activity is maximized. Temperature control promotes growth and production, particularly between 33°C and 36°C. High DO levels increase tryptophan titers by boosting the pentose phosphate pathway and reducing byproducts like acetate. Furthermore, surfactants and supplements such as betaine monohydrate and citrate help alleviate osmotic stress and enhance precursor availability, improving production efficiency. Careful manipulation of these parameters allows for high-density cell cultures and significant tryptophan accumulation, making microbial fermentation competitive for large-scale production.

For advancing manufacturing, arising AM, with an inverse philosophical approach compared to conventional procedures, has benefits that include intricate fabrication, reduced material waste, flexible design, and more. Regardless of its potential, AM must overcome several challenges due to multi-physical processes with miscellaneous physical stimuli in diverse materials systems and situations, such as anisotropic microstructure and mechanical properties, a restricted choice of materials, defects, and high cost. Unlike conventional experimental work that requires extensive trial and error resources and FEM, which generally consumes substantial computational power, the analytical approach based on physics is an exceptional choice. Understanding the relationship between the microstructure and material properties of the fabricated parts is a crucial focus in AM research. Texture is a vital factor in almost every modern industry. This study first proposed a physics-based model to foreshadow the multi-phase crystallographic orientation distribution in Ti-6Al-4V LPBF while considering the part boundary conditions due to the importance of part geometry in real industry. The thermal distribution obtained from this function operates as the information for the single-phase crystallographic texture model. In this model, we forerun and validate the orientations of single-phase materials utilizing three Euler Angles with the principles of CET and thermodynamics, as well as the intensity of the texture by approximating them with published results. Then, we transform the single-phase texture into a dual-phase texture in Bunge calculation, illustrating visualized by pole figures of both BCC and HCP phases. This texture evolution model provides a new paradigm for future researchers to model the texture or microstructure evolution semi-analytically and save many computational resources in a real-world perspective. Others have not yet done this work about simulating the multi-phase texture in an analytical approach, so this work bridges the gap in this field. Furthermore, this paper establishes the foundation for future research on materials properties affected by microstructure or texture in academic and industrial environments. The precision and dependability of the results obtained through this method make it a valuable tool for ongoing research and advancement.

The blood-brain barrier (BBB) strictly regulates the penetration of substances into the brain, which, although important for maintaining brain homeostasis, may delay drug development because of the difficulties in predicting pharmacokinetics/pharmacodynamics (PKPD), toxicokinetics/toxicodynamics (TKTD), toxicity, safety, and efficacy in the central nervous system (CNS). Moreover, BBB functional proteins show species differences; therefore, humanized in vitro BBB models are urgently needed to improve the predictability of preclinical studies. Recently, international trends in the 3Rs in animal experiments and the approval of the FDA Modernization Act 2.0 have accelerated the application of microphysiological systems (MPSs) in preclinical studies, and in vitro BBB models have become synonymous with BBB-MPSs. Recently, we developed an industrialized humanized BBB-MPS, BBB-NET. In our previous report, we reproduced transferrin receptor (TfR)-mediated transcytosis with high efficiency and robustness with hydrogels that include fibrin and collagen I microfibers (CMFs). Herein, we investigated how adding CMFs to the fibrin gel benefits BBB-NETs, showed that CMFs accelerated capillary network formation and maturation by promoting astrocyte (AC) survival, and clarified that integrin 1 is involved in the mechanism of CMFs. Our data suggest that quality control (QC) of CMFs is important for ensuring the stable production of BBB-NETs.

Anxiety-based cognitive distortions pertaining to somatic perception (ABCD-SP) - primarily catastrophizing, fear avoidance and kinesiophobia- have been repeatedly linked to worsening chronic, non-cancer pain (CNCP) outcomes of increased disability, amplified pain, ineffective opioid use, and opioid misuse. Several studies have suggested that treating ABCD-SP can improve pain outcomes, yet identification and targeting of ABCD-SP is not part of the standard medical pain assessment and treatment plan. Utilizing a narrative review of proposed mechanisms, published patient perspectives, and study correlates connecting these cognitive distortions with CNCP outcomes, a better practice approach to the delivery of standard medical CNCP care can be deduced and formulated into a Belief and Behavior Action Plan (BBAP) for medical clinicians treating CNCP to implement into initial and maintenance care planning. These recommendations require relatively few resources to implement and have the potential to disseminate more effective CNCP treatment on a large scale now, and into the new frontier of cognitive computing within medicine.

Introduction: microRNA-181a (miR-181a) is a crucial post-transcriptional regulator of many mRNA transcripts and ncRNAs, influencing cell proliferation, cancer cell stemness, apoptosis, and immune responses. Its abnormal expression has been characterized in numerous cancers, making it a significant genomic vulnerability and biomarker in cancer research. Areas Covered: Here, we summarize miR-181a’s correlation with poor patient outcomes across numerous cancers, and the mechanisms governing miR-181a’s activity and processing. We comprehensively describe miR-181a’s involvement in multiple regulatory cancer signaling pathways, cellular processes, and the tumor microenvironment. We also discuss current therapeutic approaches to targeting miR-181a, highlighting their limitations and future potential. Expert Opinion: miR-181a is a clinically relevant pan-cancer biomarker with potential as a therapeutic target in cancer. Its regulatory control of tumorigenic signaling pathways and immune responses positions it as a promising candidate for more personalized treatments. The success of miR-181a as a target relies on the development of specific therapeutics platforms. Future research on miR-181a's role in the tumor microenvironment and the RNA binding proteins that regulate its stability will help uncover new techniques to targeting miR-181a. Further research into miR-181a serum levels in patients undergoing therapy will help to better stratify patients and enhance therapeutic success.

Reliable prediction of building-level energy demand is crucial for the building managers to optimize and regulate energy consumption. Conventional prediction models omit the uncertainties associated with demand over time; hence, they are mostly inaccurate and unreliable. In this study, a Bayesian neural network (BNN)-based probabilistic prediction model is proposed to tackle this challenge. By quantifying the uncertainty, BNNs provide probabilistic predictions that capture the variations in the energy demand. The proposed model is trained and evaluated on a subset of the building operations dataset of Lawrence Berkeley National Laboratory (LBNL), Berkeley, California, which includes diverse attributes related to climate and key building performance indicators. We have performed thorough hyperparameter tuning and used fixed-horizon validation to evaluate trained models on various test data to assess generalization ability. To validate the results, quantile random forest (QRF) was used as a benchmark. The study compared BNN with LSTM, showing that BNN outperformed LSTM in uncertainty quantification.

Robotic exoskeletons are being actively applied to support the activities of daily living (ADL) for patients with hand motion impairments. In terms of actuation, soft materials and sensors have opened new alternatives upon conventional rigid body structures. In this arena, biomimetic soft systems are playing an important role for modeling and controlling the human hand kinematics without the restrictions of rigid mechanical joints, while having an entire deformable body with limitless points of actuation. In this paper, we address the computational limitations for modeling large-scale articulated systems for soft robotic exoskeletons, by integrating a parallel architecture to compute the exoskeleton’s dynamics equations of motion (EoM), obtaining a computation with O(log2n) complexity for the highly-articulated n degrees of freedom.

The transport sector is heavily relying on the use of fossil fuels that are causing major environmental concerns. Solutions relying on the direct or indirect use of electricity, through e-fuels production, are emerging to power the transport sector. To ensure environmental benefits over this transition, an accurate estimation of the impact of the use of electricity is needed. This work presents a temporal analysis of carbon intensity of e-fuels using grid electricity in countries members of the European Network of Transmission System Operators (ENTSO-E). It also provides an estimation of the potential load factor for to produce low-carbon e-fuels according to the European Union legislative framework. This was achieved, building on top of the existing EcoDynElec tool, by developing EcoDynElec_xr a python tool enabling, with an hourly time resolution, the calculation, visualisation and the analysis of the historical time-series of electricity mix from the ENTSO-E. The results highlight that, in 2023, a minority of European countries were reaching low carbon intensity of electricity that enables the use of grid electricity for green electrolytic hydrogen production. The methodological hypothesis to consider the consumed electricity mix instead of the production mix, and the considered time step, are of paramount importance and drastically impact the potential load factor of green hydrogen production. The developed tool and calculated data are released under an open-source license to ensure transparency, results reproducibility, reuse on newer data, or for other purposes.

After prolonged development, most domestic and international oilfields have entered a late stage of high water cut and high recovery, with a comprehensive water cut reaching up to 90%. Carbon-oxygen ratio logging can directly distinguish oil layers from water layers with low salinity, unknown salinity, or significantly varying salinity in cased wells. This makes it highly valuable for detecting oil and gas layers and locating and monitoring oil-water interfaces. It is currently one of the most effective methods for determining residual oil saturation in cased wells. This paper is based on two carbon-oxygen ratio spectrum interpretation models (the fan and ratio chart methods). It compares and analyzes these two methods and optimizes the interpretation parameters in the ratio chart model using an improved genetic algorithm. The results are effectively integrated with reservoir and conventional logging interpretation results, reducing the impact of lithology and physical properties on measurement values. This provides a theoretical foundation for improving the interpretation capability and accuracy of carbon-oxygen ratio logging, allowing for quicker and more accurate identification of water-flooded layers. This technical support aids in monitoring oil-water dynamics, determining water-flooded layers, and enhancing production potential during oilfield development.

We are interested in studying alterations in the regulatory circuitry that controls mRNA stability and function, and more specifically in the interactions among miRNAs and mRNAs. We have previously reported transcriptome-wide changes in mRNA expression in an animal model of atherosclerosis (ATS) progression, and reversion upon treatment with an αCD40 specific siRNA. In this work, we have used our data on mRNAs downregulated during these processes to study length dynamics as an adaptive mechanism to thwart miRNA activity. We show that ATS progression was characterized by the lengthening of the 5’UTR and 3’UTR regions of these mRNAs. Furthermore, 3’UTR lengthening (but not that of the 5’UTR) was shown to be partially reversed by the treatment with the αCD40 specific siRNA. Study of the exonic composition of the transcriptome of these mRNAs suggested a role for alternative/cryptic/latent splicing in the generation of length variants. This was confirmed by the detection, during ATS progression, of a transcript variant switching process in which specific isoforms were replaced by others that differed in their pattern of alternative splicing, mainly at their 5’ or 3’UTRs. This work highlights alternative splicing as a mechanism contributing to the generation of 5’/3’UTR length and sequence variability during ATS progression and calls attention on factors regulating alternative splicing as possible targets of therapeutical intervention.

Circular RNA (circRNA) vaccines are emerging as a revolutionary strategy in cancer immunotherapy, offering novel mechanisms for inducing robust and durable immune responses. Unlike traditional linear mRNA vaccines, circRNAs exhibit exceptional stability, enhanced translational efficiency, and resistance to exonuclease degradation, making them ideal candidates for vaccine development. This review delves into the fundamental principles underlying circRNA biology, highlighting their unique structural advantages and translational potential. We examine recent advancements in circRNA vaccine design, focusing on their application in oncology. As the circRNA-based cancer vaccine is a relatively novel approach, accounts of all the major studies describing the efficacy have been discussed. To maximize the anti-cancer effects of circRNA vaccines, we also investigate their combination with other immunotherapeutic modalities such as immune checkpoint inhibitors and adoptive cell therapies. Large-scale manufacturing, immunogenicity optimization, delivery systems, and other challenges and future directions in the sector are also discussed. This study aims to thoroughly analyse the state-of-the-art and potential future applications of circRNA vaccines in cancer immunotherapy, highlighting them as exciting possibilities for next-generation cancer therapies.

In this paper, we present findings from a recently completed research about the use of enterprise resource planning (ERP) in travel, trade, and tourism businesses. Initially, we selected twelve existing travel, trade, and tourism ERP systems and preform practical analysis and testing of these systems via JMETER and Google chrome Lighthouse tools. In addition to that, an online survey was conducted (with an e-mail invitation and telephone call reminder) to collect data from three Pakistani Travel, Trade, and Tourism organizations. Furthermore, we adopted qualitative research practices by going through various research papers and research studies from journals, books, and internet, etc. This study is constructed on only secondary statistics. The goal of this article is to look at ERP systems in terms of their concept and use, as well as how they affect the modern travel business. An ERP system is a business system that integrates several corporate processes into a single database, such as supply chain management, manufacturing, financial management, and project management. ERP systems are utilized in a variety of businesses around the world, including in the manufacturing and service industries. Across a range of industries, service firms have recently spent significant resources on the implementation of Enterprise Resource Planning (ERP) systems to improve the efficiency, cost-effectiveness, and quality of service operations. To assist them to build their businesses, the travel, trade, and tourist industries all rely on an integrated information network. The work focuses on only one industry i-e Travel, Trade, and Tourism. This may limit the applicability of its broad conclusions to other industries or industries. The findings of this study compare and contrast the ERP implementation challenges faced by existing organizations of travel, trade, and tourism companies. This is the first empirical study on the difficulties surrounding ERP installation in travel, trade, and tourism companies. It is also the first study to compare ERP adoption in multiple companies in the areas of travel, trade, and tourism.

Background/Objectives: This cross-sectional study aimed to investigate the relationship between swallowing function and serum albumin levels in Japanese older people (age ≥ 75 years). Methods: A total of 3258 participants (1325 males, 1933 females; mean age, 80.8 years) who had a dental checkup in Gifu City, Japan, between April 2020 and March 2021 were recruited. Swallowing function was assessed using the repetitive saliva swallow test, with poor swallowing function defined as swallowing fewer than three times in 30 seconds. A serum albumin level < 3.6 G/dL was considered low. Results: In total, 78 participants (2%) had a low serum albumin level. These participants were significantly more likely to be older (p < 0.001), male (p = 0.030), to have circulatory disease (p < 0.001), support/care-need certification (p < 0.001), poor tongue and lip function (p < 0.001), poor swallowing function (p < 0.001), and number of present teeth ≥ 20 teeth (p = 0.001). Furthermore, after adjusting for age, gender, circulatory disease, support/care-need certification, number of present teeth, tongue and lip function, and swallowing function, a low serum albumin level was positively associated with older (odds ratio [OR]: 1.115; 95% confidence interval [CI]: 1.064–1.169), male (OR: 2.208; 95% CI: 1.360–3.584), circulatory disease (OR: 1.829; 95% CI: 1.079–3.099), support/care-need certification (OR: 2.087; 95% CI: 1.208–3.606), and poor swallowing function (OR: 2.379; CI: 1.377–4.112). Conclusions: These results suggest a positive relationship between poor swallowing function and low serum albumin levels in Japanese older people.

This study investigated the toxigenic genes and antimicrobial resistance profiles Staphylococcus aureus strains isolated from 260 raw milk samples collected from dairy farms in Türkiye. Results indicated that 60.7% of staphylococcal enterotoxin genes (sea, seb, sed, seg, sei, sej, sek, seq, sem, seo, and seu) and 21.4% of the tst and eta genes were positive, with most enterotoxin-positive samples carrying more than one gene. The genes sec, see, seh, sel, sen, sep, and etb were not identified in any samples. The prevalence of antibiotic resistance genes (mecA, blaR, blaI, blaZ, vanA, ermT, tetK, aac/aph, ant, dfrA, tcaR, IS256, and IS257) was high at 89.2%, with bla being the most frequently detected gene (75%). The mecA gene was present in 14.2% of samples, while tcaR was detected in 78.5%. Nevertheless, the mecC was not identified. Disinfectant resistance genes (qacA/B, qacC, qacJ, smr) were detected in 21.4% of the samples. The results of the disc diffusion test showed that 64% of strains were resistant to penicillin G and ampicillin, with additional resistance found for cefoxitin, teicoplanin, levofloxacin, norfloxacin, and other antibiotics. These findings highlight a significant public health and food safety risk associated with raw milk due to the presence of S. aureus strains with toxigenic genes and high antimicrobial resistance.

To explore cast HEAs reinforcement by MC carbides three equimolar CoNiFeCrC alloys without or with Carbon and either hafnium or tantalum were investigated. Their microstructures were specified and tests at 1100°C in oxidation by air and flexural creep tests were carried out. The HEAbase was single–phased. The HEAhfc and HEAtac contained eutectic script HfC and TaC carbides respectively, in the interdendritic spaces. After oxidation for 50h at 1100°C all alloys were covered by a (Cr,Mn)2O3 scale with various proportions in Cr and Mn. HfO2 or CrTaO4 also formed. The subsurface was depleted in Cr and especially in Mn. The HEAbase alloy deformed quickly. The MC carbides greatly improved the creep resistance, and divided deformation by five to ten times.

Background/Objectives: This study aimed to compare croup management patterns between pediatricians and emergency medicine (EM) physicians to enhance pediatric emergency care and inform the training of future specialists. Methods: A retrospective review of medical records was conducted for 1,676 children diagnosed with croup who visited a single pediatric emergency department (PED) from March 2019 to February 2023. Patient characteristics, management patterns, and the impact of physician specialty on emergency care were analyzed. Results: EM physicians used injected dexamethasone monotherapy more frequently, whereas pediatricians favored combined use of nebulized epinephrine and dexamethasone. Pediatricians also prescribed oral antibiotics and corticosteroids at discharge more often. The appropriate use of nebulized epinephrine based on the Westley Croup Score was significantly higher in the EM physician group. Despite these differences, there were no significant disparities in PED length of stay or revisit rates within 48 hours. Conclusions: EM physicians adhered more closely to clinical guidelines for croup management. These findings underscore the need for standardized, evidence-based pediatric emergency care and provide valuable insights for training programs in this field.

Phase errors in magnetic resonance (MR) techniques, including Nuclear Magnetic Resonance (NMR) spectroscopy and Magnetic Resonance Imaging (MRI), pose significant challenges to data accuracy and interpretation. As MR technologies advance, the demand for more sophisticated phase correction methods continues to grow, enhancing diagnostic precision and analytical outcomes. This review explores the evolution of phase correction models, beginning with simple global phase shifts, progressing through traditional linear statistical models, and culminating in modern machine learning techniques—specifically, neural networks. We also examine a range of optimization functions and optimizers, including both MR data-specific and common statistical approaches, applied in phase error correction. Despite notable progress, challenges remain in developing fully automatic phase error correction methods, particularly given the absence of ground truth in real-world MR data. This review highlights key methods, discusses their limitations, and proposes future pathways, including ensemble learning, that could guide further innovation in phase error correction.

Light pollution of the night sky is a phenomenon increasingly observed around the world and reported in the form of thematic maps. The major contributor to light pollution is ill-adjusted or inappropriately designed artificial lighting by outdoor light sources. The phenomenon occurs mainly over urban areas, but affects both the urban environment and the areas adjacent to it. The problem of excessive artificial light emission at night and the negative effects it causes has already become so serious and global in its impact that effective and comprehensible methods of cartographic presentation of this phenomenon have been explored. The literature on the subject provides examples of how to present the results of measurements of light pollution of the night sky, but these have been developed using different colour scales, often in discretionary ranges and units of measurement. This paper presents an overview of the measurement scales and units found in the literature to describe the phenomenon of light pollution that obscures the night sky. A proposal of the author’s color scale for the presentation of the phenomenon was proposed and shown by example. The differences between measurement scales and how they affect interpretation of results are discussed. Furthermore, a recommendation is made for a standardised method of cartographic visualisation of the spatial distribution and presentation of light smog measurement results.

The increasing global demand for biodiesel is due to the urgent need to replace mineral diesel with a fuel based on renewable energy sources. In this scenario, biocatalysis stands out as an efficient and environmentally friendly alternative to chemical catalysis. When associated with the use of immobilized enzymes, which allow their reuse in the process of obtaining biofuel, this approach makes production sustainable and reduces costs. In this sense, we investigated the use of the lipase produced by an Amazonian endophytic fungus in immobilized form as a biocatalyst in the transesterification of waste cooking oil for biodiesel production. The fungus Endomelanconiopsis endophytica QAT_7AC demonstrated high production of lipase. The lipolytic extract was precipitated in ethanol, which increased the specific enzyme activity by 28%. The lipolytic extract and the precipitated lipolytic extract were immobilized in calcium alginate beads. Immobilization efficiency was over 89%. The immobilized biocatalysts showed thermal stability (30-50 °C) and were used in the production of biodiesel using waste cooking oil and ethanol. It was possible to reuse them for up to four reaction cycles, with yields greater than 70%. These results prove the efficiency of immobilized biocatalysts in the production of ethyl esters from waste oils.

Glycogen, a branched polysaccharide organized into glycogen granules (GGs), is delivered from the cytoplasm to the lysosomes of hepatocytes by the STBD1-driven selective autophagy (glycophagy). Recently, we developed Komagataella phaffii yeast as a simple model of GG autophagy and found that it proceeds non-selectively under nitrogen starvation conditions. However, another group, using Saccharomyces cerevisiae as a model, found that glycogen is a non-preferred cargo of the nitrogen-starvation induced bulk autophagy. To clarify cargo characteristics of K. phaffii GGs, we used the same glycogen synthase-based reporter (Gsy1-GFP) of GG autophagy in K. phaffii, as was used in S. cerevisiae. The K. phaffii Gsy1-GFP marked GGs and reported on their autophagic degradation during nitrogen starvation, as expected. However, unlike in S. cerevisiae, glycogen synthase-marked GGs were delivered to the vacuole and degraded there with the same efficiency as a cytosolic glycogen synthase in glycogen-deficient cells suggesting that glycogen is a neutral cargo of bulk autophagy in K. phaffii. We verified our findings with a new set of reporters based on the glycogen-binding CBM20 domain of human STBD1. The GFP-CBM20 and mCherry-CBM20 fusion proteins tagged GGs, reported about autophagy of GGs and confirmed that GGs in K. phaffii are neither preferred, nor non-preferred substrates of bulk autophagy. They are its neutral substrates.

This case represents the association between the presence of large fibroid tumor and pulmonary embolism in 47-year-old women. We highlight the diagnostic investigations and treatment methods for PE, followed by further evaluation of the underlying explanation of this pathology and eliminating other related risk factors.

The connection between a prefabricated reinforced concrete column and a pocket foundation is a case treated from a general perspective in the European Standard named EN 1992-1-1, and when the structural engineer deals with the dimensioning or verification of the connection, he tackles several unknowns. The present work aims to fill in the missing information by presenting detailed calculation models based on the strut-and-tie method for 4 of the widely used pocket foundations: pedestal pocket foundation with smooth, rough or keyed internal walls, and pad foundation with pocket possessing keyed internal walls. Additionally, detailed design prescriptions applicable to seismic areas are given. Afterwards, as a case study, a pocket foundation is designed in all 4 variations, having the structural design particularities, similitudes and differences pointed out. Finally, to conclude the advantages and disadvantages are mentioned for pocket foundations in respect to the type of internal wall surface used. Quantifiable data based on the case study undertaken is available.

The encapsulation of bacteria in emulsion droplets offer various advantages over other conventional methods of encapsulation such as improvement in bacterial viability and may served as microenvironments for bacterial growth. Nevertheless, changes in temperature may affect bacterial viability and droplet stability. In this study, the encapsulation of bacteria in single water-in-oil (W/O) and double water-in-oil-in-water (W1/O/W2) emulsions was investigated under cold storage with a study on temperature-modulated release. The microencapsulation of bacteria in emulsion droplets was achieved by using a flow-focusing microfluidic device. Droplets stability was determined by measuring changes in droplets size and creaming behaviour at different temperatures. Thermal properties of the samples were determined by using differential scanning calorimetry while the release of bacteria with change in temperature was determined by measuring colony form unit (CFU) of the released bacteria and fluorescence microscopy. Higher bacterial viability was observed for encapsulated samples as compared to free cells indicating the ability of emulsion system in improving the bacterial viability during cold temperature storage. Crystallization temperature was lowered in the presence of bacteria, but the melting temperature was similar with or without bacteria. Storage in freezing temperatures of -20°C and -80°C leads to an extensive droplet destabilization with immediate release of encapsulated bacteria upon thawing in which temperature modulated release of encapsulated bacteria was achieved. This study provides an overview of the potential application of emulsion droplets for encapsulation and controlled release that is beneficial for various applications such as food and pharmaceuticals.

Background/Objectives: Actual urate-lowering therapies may cause serious side effects in patients. Thus, alternative treatments are needed to regulate uric acid (UA) levels in patients with hyperuricemia associated with kidney injury, and natural sources have demonstrated utility in this field. For the first time, our study evaluated the effects of an extract of Dactylopius opuntiae insects on hyperuricemia related to renal dysfunction in vitro and in mice. Methods: Insects were bred and collected, and two different extracts (D1 and D2) were obtained. For both extracts, xanthine oxidase (XO) and radical inhibitory assays were performed. Subsequently, serum purine levels and renal markers were quantified in male BALB/c mice who received potassium oxonate, hypoxanthine, and gentamicin. Results: The D2 extract contained 18,037.7 µg of carminic acid/mL, inhibited 53.2% of XO activity at one concentration, and showed IC50 values of 18,207.8 and 5729.6 µg/mL against ABTS and DPPH radicals. D2 administration reduced serum UA and creatinine levels, and it avoided the increased kidney weight and reduced renal antioxidant capacity caused by hyperuricemia and allopurinol use in mice. Despite the satisfactory results obtained in vitro, the D1 extract killed the animal models due to its citric acid content. Conclusions: The D2 insect extract can be used as an effective therapy for hyperuricemia associated with kidney dysfunction.

This paper focuses on the long-standing issue of galactic rotation, i.e. the discrepancy between observed rotation rates and predictions based on Newtonian gravity. While Newton's law holds within the solar system, it fails to explain the higher-than-expected rotation speeds of galaxies, particularly at greater distances from their centers. This study finds that Newton's gravitational formula applies only when gravitational lensing has a negligible impact. We examine the gravitational force on objects farther from the galactic center, where the lensing effect of a supermassive black hole becomes significant. This lensing causes the actual gravitational force to exceed Newtonian predictions, with the discrepancy increasing with distance. This effect offers an alternative explanation for the galactic rotation curve without the need for dark matter. Our findings suggest that Newton's formula requires revision to account for gravitational lensing, a key factor in understanding galactic dynamics and its broader cosmic implications.

This study investigated whether quantitative MRI and histology of the prostate reveals differences between races that can affect diagnosis. Cancer signal enhancement rate (α) on DCE-MRI was significantly higher for African Americans (AA) compared to Caucasian Americans (CA). Signal washout rate (β) was significantly lower in benign tissue in AAs and significantly elevated in cancers in AAs. However, no significant differences were found for ADC and T2. ROC analysis showed that ADC and T2 are slightly less effective in AA compared to CA. DCE significantly improves the differentiation of PCa from benign in AAs (α: 52%, β: 62% more effective in AA compared to CA). Histologic analysis showed cancers have a greater proportion of epithelium and lower lumen in AA compared to CA. This study shows that the different races have different quantitative MRI values and histologic makeup. Quantitative DCE-MRI is highly effective and improves PCa diagnosis in African Americans.

Enhancing the acoustical quality in learning environments is mandatory, especially for Hearing Aids (HAs) users. When in-field evaluations cannot be performed, Virtual Reality (VR) can be adopted for the acoustical quality assessment of existing and new buildings, contributing to the acquisition of subjective impressions in lab settings. To ensure an accurate spatial reproduction of the sound field in VR also for HAs users, multispeaker-based systems can be employed to auralize a given environment. However, most systems are effortful due to costs, size and construction. This work deals with the validation of a VR-system based on a 16-speaker-array synced with a VR-headset, arranged to be easily replicated in small non-anechoic spaces and suitable for HAs users. Both objective and subjective validations are performed against a real university lecture room of 800 m3 and with 2.3 s of Reverberation Time at mid-frequencies. Comparisons of binaural and monoaural room acoustic parameters are performed between measurements in the real lecture room and its lab reproduction. To validate the AudioVisual experience, 32 normal-hearing subjects were administered the Igroup Presence Questionnaire (IPQ) on the overall sense of perceived presence. The outcomes confirm that the system is a promising and feasible tool to predict the perceived room acoustical quality.

Specific strains of Vibrio parahaemolyticus can cause acute hepatopancreatic necrosis disease (AHPND), a critical issue in shrimp aquaculture despite the application of several control strate-gies. The use of antibiotics is now restricted due to increasing bacterial resistance and overuse. Silver nanoparticles (AgNPs) have shown potential in shrimp aquaculture, with applications in boosting immunity against certain types of pathogens, promoting growth, and improving sur-vival rates. However, an economically viable solution that protect the organisms has not been found, which is why the search for nanoparticles synthesized with plant extracts is necessary to generate environmentally friendly control strategies. In this study, we synthesized AgNPs from Larrea tridentata extract and administered them orally with feed over a 35-day period. Shrimps fed with AgNPs-enriched diets showed a significant increase (p < 0.05) in mRNA expression of immune-related genes (CTL-5, MNK, SR, and GILT), particularly within the first 24–48 hours. No significant differences were observed in growth rates, but survival rates in a challenge against V. parahaemolyticus exceeded 85%, higher than the control group. Based on our findings and previ-ous literature, L. tridentata can effectively promote the synthesis of AgNPs and shows potential as an antimicrobial agent, without affecting the growth or survival of treated shrimp.

Cannabis sativa is known for producing over 120 distinct phytocannabinoids, with Δ9-tetrahydrocannabinol (Δ9-THC) and cannabidiol (CBD) being the most prominent, primarily in their acidic forms. Beyond Δ9-THC and CBD, a wide array of lesser-known phytocannabinoids, along with terpenes, flavonoids, and alkaloids, demonstrate diverse pharmacological activities, interacting with the endocannabinoid system (eCB) and other biological pathways. These com-pounds, characterized by phenolic structures and hydroxyl groups, possess lipophilic properties, allowing them to cross the blood-brain barrier (BBB) effectively. Notably, their antioxidant, an-ti-inflammatory, and neuro-modulatory effects position them as promising agents in treating neu-rodegenerative disorders. While research has extensively examined the neuropsychiatric and neuroprotective effects of Δ9-THC, other minor phytocannabinoids remain underexplored. Given the well-established neuroprotective potential of CBD, there is growing interest in the therapeutic benefits of non-psychotropic minor phytocannabinoids (NMPs) in brain disorders. This review highlights the emerging research on these lesser-known compounds and their neuroprotective potential. It offers insights into their therapeutic applications across various major neurological conditions.

Objective: The study aims to evaluate the correlation between 68Ga-PSMA uptake in PSMA PET/CT in primary prostate cancer (PC) and its histopathological grading (Gleason Score and ISUP grade). Additionally, we compared preoperative biopsy histopathological findings with definitive pathology results in radical prostatectomy (RP) specimens. Methods: We retrospectively analyzed 86 patients who underwent 68Ga-PSMA PET/CT for primary PC staging, of which 40 patients later underwent radical prostatectomy. PET/CT results, including SUVmax values, were correlated with GS and PSA concentrations. Histopathology reports were analyzed and compared between biopsy and final pathology results following RP. Results: A significant positive correlation was observed between SUVmax and ISUP grades (Pearson's ρ = 0.34, p < 0.001), with higher SUVmax values associated with more advanced grades. A cut-off SUVmax value of 5.64 was determined to predict upstaging in patients, yielding a sensitivity of 76% and a specificity of 60% (AUC = 0.82, 95% CI: 0.70–0.94). Additionally, 57.5% of patients experienced a grade shift following RP, with a 35% upgrade and 22.5% downgrade in ISUP grades. Conclusion: 68Ga-PSMA PET/CT demonstrated high sensitivity in detecting high-risk prostate cancer, particularly in patients with GS > 7 or PSA levels ≥ 10 ng/ml. The findings suggest that this imaging modality may be less effective for staging of patients with lower GS or PSA values, that is low-risk PCa. Further prospective studies are necessary to validate these results.

Climate change is significantly reshaping global and regional climates, with profound impacts on local microclimates and agricultural productivity. This study investigates the effects of climate change on regional microclimates and examines how these shifts influence agricultural output, focusing on case studies from vulnerable regions. Utilizing secondary climate data from international agencies, this research applies statistical techniques, including time series analysis, correlation analysis, and extreme value theory, to assess changes in temperature, precipitation, and other environmental factors. The study employs spatial analysis to explore the geographic variability in these effects, and regression models to quantify the relationship between climatic changes and crop yields. Preliminary results indicate a marked shift in microclimate patterns, with significant consequences for farming practices, particularly in regions reliant on climate-sensitive crops. The findings underscore the need for adaptive strategies in agricultural sectors to mitigate the risks posed by climate change. This research provides valuable insights for policymakers and farmers, emphasizing the importance of localized climate data in developing sustainable agricultural frameworks.

In the dynamic landscape of online shopping, predicting user behaviors such as clicks, cart additions, and orders is crucial for optimizing sales strategies. Traditional recommendation systems often focus on a single objective, limiting their effectiveness in a multifaceted e-commerce environment. This article proposes a multi-objective recommendation system that leverages previous events in user sessions to forecast these key metrics, addressing challenges such as imbalanced positive and negative samples, varying session lengths, and the need for effective sampling techniques. Our approach integrates LightGBM, XgBoost, and Recbole GRU4Rec through ensemble learning, combining the strengths of these models to enhance prediction performance. Extensive evaluations demonstrate that our model outperforms existing methods, offering significant improvements in accuracy and robustness. This work provides a comprehensive solution for online retailers to better predict user behaviors and optimize their sales strategies, ultimately enhancing customer satisfaction and business outcomes.

Retinal diseases are an important focus of in vivo gene therapy, for which adeno-associated virus is a preferred vector. Intravitreal injection is a highly desirable delivery route because it is much simpler, safer and inexpensive than the main alternative subretinal injection. However, existing capsids have low efficiency, require high doses and are susceptible to neutralization by antibodies that are present in the vitreous. Using AAV5 as starting material, we applied a combination of directed evolution and rational design to develop PT1, a novel AAV capsid capable of efficiently transducing the retina after intravitreal injection. The most striking property of PT1 is its remarkable ability to evade preexisting neutralizing antibodies, thanks to its multiple mutations spread over large areas of the capsid surface, disrupting several epitopes. Our results suggest that PT1 has a strong potential as a useful candidate capsid for human retinal gene therapy.

Understanding the relationship between urban fabrics and sustainability is critical for addressing contemporary urban challenges. Urban fabrics contain information that reveals the performance and spatial heterogeneity of urban systems. This study evaluates the variability and spatial patterns of sustainability indicators across different urban fabric typologies in Cuenca, Ecuador. Using a 150-radius hexagonal grid covering the study area, 30 sustainability indicators are assessed in this study, exploring their spatial patterns and relationships with urban fabrics trough spatial and statistical analyses and visualization techniques. Results reveal significant variability among urban fabrics, with built environment indicators playing a dominant role in overall sustainability. There is evidence of marked spatial heterogeneity, with inner-core areas showing higher sustainability, while fringe expansion areas lag, and transitional areas also identified. Spatial clusters of high or low sustainability fabrics tend to be homogeneous, whereas mid-range sustainability fabrics exhibit greater heterogeneity. This quantitative evidence highlights hidden patterns in urban morphology and sustainability, offering valuable insights to support and enhance evidence-based urban planning. The open-source data and tools reported are developed to allow for customisation as well as replication in other urban areas.

A large number of magnetic sensors, like superconducting quantum interference devices, optical pumping and nitrogen vacancy magnetometers, were shown to satisfy the energy resolution limit. This limit states that the magnetic sensitivity of the sensor, when translated into a product of energy with time, is bounded below by Planck’s constant, ħ. This bound implies a fundamental limitation as to what can be achieved in magnetic sensing. Here we explore biological magnetometers, in particular three magnetoreception mechanisms thought to underly animals’ geomagnetic field sensing: the radical-pair, the magnetite and the MagR mechanism. We address the question of how close these mechanisms approach the energy resolution limit. At the quantitative level, the utility of the energy resolution limit is that it informs the workings of magnetic sensing in model-independent ways, and thus can provide subtle consistency checks for theoretical models and estimated or measured parameter values, particularly needed in complex biological systems. At the qualitative level, the closer the energy resolution is to ħ, the more “quantum” is the sensor. This offers an alternative route towards understanding the quantum biology of magnetoreception. It also quantifies the room for improvement, illuminating what Nature has achieved, and stimulating the engineering of biomimetic sensors exceeding Nature’s magnetic sensing performance.

This research seeks to provide local governments with a comprehensive alternative for the proper maintenance of roads, focusing on the surface and functional evaluation of pavements. It com-pares conventional methods of the International Roughness Index (IRI) and the Pavement Condi-tion Index (PCI) with novel methodologies that employ smart technologies. Road maintenance is essential for economic development, facilitating the circulation of services and resources. This re-search analyzes the efficiency of smart technologies in the maintenance of local roads in Arequipa, taking as a case study a 2 km section of the AR-780 highway in Polobaya. The International Roughness Indices (IRI) obtained through the Merlin Roughness Meter and the Roadroid applica-tion were compared, finding a minimum variation of 4.007% in the left lane and 8.5% in the right lane. Roadroid turned out to be 60 times faster than the conventional method, with a cost differ-ence of 220.11 soles. Both methods classified the road condition (PSI) as GOOD, validating the accuracy of Roadroid. In addition, the Pavement Condition Index (PCI) was evaluated with con-ventional methods and a DJI Mavic 2 Pro drone, finding a variation of 6.89%. The cost difference between the methodologies was 1,047.73 soles, and the use of the drone proved to be 10 times faster than visual inspection. Finally, it can be said that this study contributes to closing the knowledge gap regarding the use of smart technologies for better pavement management on local roads, so that the actors in charge of the roads can make decisions based on science and thus con-tribute to the well-being of the population.

Interactive conversational agents, also known as chatbots, have the potential to increase the success rate of digital technology interventions to promote healthy behaviors. However, due to their newness and limited use, little is known about their integration, usefulness, and effectiveness in promoting smoking and vaping cessation. The aim of this mixed methods systematic review was to assess the effectiveness and characteristics of current interactive conversational agents in promoting and supporting smoking and vaping cessation. A mixed methods systematic review was conducted to identify studies published in the last 20 years in five relevant databases. Eight studies, including seven on smoking cessation and one on smoking and vaping cessation, were included. The results showed that, compared to other smoking cessation methods, chatbots can lead to better engagement in treatment, resulting in higher rates of sustained abstinence and improved quality of life. In addition, chatbots can be perceived as empathetic and establish a decent therapeutic alliance thanks to their communication skills. This knowledge could be useful for the development of interactive conversational agents to support smoking and/or vaping cessation. Alternative intervention tools targeting younger generations, such as chatbots, may offer an additional way for public health professionals to reach them.

Assessing handling qualities is crucial for ensuring the safety and operational efficiency of aircraft control characteristics. The growing interest in Urban Air Mobility (UAM) has increased the focus on electric Vertical Take-Off and Landing (eVTOL) aircraft; however, a comprehensive assessment of eVTOL handling qualities remains a challenge. This paper proposed a handling qualities framework to assess eVTOL handling qualities, integrating pilot compensation, task performance, and qualitative comments. An experiment was conducted, where eye-tracking data and subjective ratings from 23 participants as they performed various Mission Task Elements (MTEs) in an eVTOL simulator were recorded. The relationship between pilot compensation and task workload was investigated based on eye metrics. Data mining results revealed that pilots' eye movement patterns and workload perception change when performing Mission Task Elements (MTEs) that involve aircraft deficiencies. Additionally, pupil size, pupil diameter, iris diameter, interpupillary distance, iris-to-pupil ratio, and gaze entropy are found to be correlated with both handling qualities and task workload. Furthermore, a handling qualities and pilot workload recognition model is developed based on Long-Short Term Memory (LSTM), which is subsequently trained and evaluated with experimental data, achieving an accuracy of 97%. A case study was conducted to validate the effectiveness of the proposed framework. Overall, the proposed framework addresses the limitations of the existing Handling Qualities Rating Method (HQRM), offering a more comprehensive approach to handling qualities assessment.

Anaerobic digestion followed by microalgal cultivation is considered a promising renewable alternative for the production of biomethane with reduced effluent generation, thus lowering the environmental impact. In this arrangement, in addition to generating energy, the microalgae act by potentiating the refinement of the effluents generated via anaerobic digestion (digestates). In this study, the microalga Tetradesmus obliquus was cultivated in photobioreactors with the final digestate resulting from the codigestion of Arundo donax L. plant biomass and cattle wastewater. The biotechnological route used was efficient, and biogas production ranged from 50.20 to 94.69 mL gVS-1. The first-order kinetic model with variable dependence (FOMT) provided the best fit for the biogas production data. In the microalgal posttreatment, the removal values ranged from 81.5 to 93.8% for chemical oxygen demand, 92.0 to 95.3% for N-NH4+, and 41.7 to 83.3% for PO43- after 26 days. The macromolecular composition of the algal biomass reached lipid contents ranging from 33.4 to 42.7%. Thus, the proposed process mediated by microalgae can be considered promising for the bioremediation and recovery of effluents produced by agriculture through the use of microalgal biomass for bioproduct production.

Heart failure with preserved ejection fraction (HFpEF) is a multifariousness syndrome, account-ing for over half of heart failure (HF) patients receiving clinical treatment. The prevalence of HFpEF is rapidly increasing in the coming decades as the global population ages. It is becoming clearer that HFpEF has a lot of different causes, which makes it challenging to find effective treatments. Currently, there are no proven treatments for people with deteriorating HF, or HFpEF. Although the pathophysiologic foundations of HFpEF are complex, excessive reactive oxygen species (ROS) generation and increased oxidative stress caused by mitochondrial dys-function seem to play a critical role in the pathogenesis of HFpEF. Emerging evidence from an-imal models and human myocardial tissues from failed hearts shows that mitochondrial aberra-tions cause a marked increase in mitochondrial ROS (mtROS) production and oxidative stress. Furthermore, studies have reported that common HF medications like beta blockers, angioten-sin receptor blockers, angiotensin-converting enzyme inhibitors, and mineralocorticoid receptor antagonists indirectly reduce the production of mtROS. Despite the harmful effects of ROS on cardiac remodelling, maintaining mitochondrial homeostasis and cardiac functions requires small amounts of ROS. In this review, we will provide an overview and discussion of recent findings on mtROS production, its threshold for imbalance, and the subsequent dysfunction that leads to related cardiac and systemic phenotypes in the context of HFpEF. We will also focus on newly discovered cellular and molecular mechanisms underlying ROS dysregulation, current therapeutic options, and future perspectives for treating HFpEF by targeting mtROS and associ-ated signal molecules.

The number zero is happily used by mathematics, but not physics for various reasons. It should be incorrect to say that $\phi(x)= 0=\gamma(x)$, when there are two, different, physical meanings, such as fields for two very different kinds of particles, etc. That could lead to some kind of confusion in physics. In that case, it could even be necessary to {\bf reject} using the zero number in certain expressions, and instead, at least try to `go around them'. Do not forget that the number zero was {\it banned} for 1,500 years, long, long ago!

The plantar plate (PP) tear of the second metatarsophalangeal joint (MTPJ) is the most common reason for forefoot pain in clinical practice. PP is the main stabilizing structure of the joint and, together with collateral ligaments, is the key to maintaining the stability of MTPJ. Many surgical procedures have been described to repair PP tears. Currently, there is still controversy regarding which is the surgical superior option (direct versus indirect PP repair techniques). Transfer of the flexor digitorum longus tendon to the dorsum of the proximal phalanx is one of the surgical techniques described to treat PP tears associated with MTPJ instability. We present two cases that developed instability of the second MTPJ secondary to chronic PP tear with symptoms resolved after transfer of the flexor digitorum longus (FDL). Currently, the literature review shows that the procedure seems to be the most consistent surgical option in chronic cases of PP tears.

The Supportive and Palliative Indicators Tool (SPICT) was developed for timely identifying patients who may benefit from supportive and palliative care for a better treatment review, care plan discussion, and end-of-life care. Although the SPICT has been validated in different languages and patients living in different settings, it has not been validated in patients receiving home-based medical care (HBMC), or in the context of using traditional Chinese characters. The present study aimed to validate the Taiwan version of SPICT (SPICT-TW) and to measure its ability to predict six-month mortality in patients who received HBMC in Taiwan. Seven HBMC agents (five clinics and two hospitals) participated in this validation study. We recruited 129 patients aged ≥50 years who had been consistently receiving HBMC for &gt; two months. The results revealed that the SPICT-TW demonstrated similar reliability and validity compared to other language versions of SPICT. It may be an appropriate tool for healthcare professionals to timely detect the needs of palliative care in older people who received home healthcare. Furthermore, we found that a combination of four general indicators and one clinical indicator in SPCIT-TW has the best prediction ability at predicting six-month mortality in these HMBC recipients. This multicenter study validated the SPICT-TW among HBMC recipients in Taiwan. SPICT-TW demonstrated high reliability and validity and may be a practical tool for identifying older people at risk of dying within six months who would benefit from palliative care.

The study was conducted in the milking parlor of a cattle farm with a capacity of 400 cows of the Holstein-Friesian breed. The milking installation was a double 8 "Herringbone" type without windows, and the roof was constructed of glass. The reporting of temperature, air humidity and temperature-humidity index (THI) was performed three times during each milking (at the start, in the middle and at the end of milking) with measurements repeated during the morning, noon and evening milking. The highest mean and maximum daytime air temperature values were recorded in summer and spring. Although the average values for the spring season were lower than those for summer (by about 4 ⁰ C), the maximum values reached were equally high – 31.4 ⁰ C. In terms of relative air humidity, the highest mean values were reported for the winter sea-son – 82.39%. For the other seasons, the relative humidity values were on average high and close in value - from 62.51 to 67.46%. In THI, the highest average daily and maximum values were re-ported in the summer months - 73.41 and 80, respectively.

The emergence and re-emergence of pathogens with pandemic potential has been a persistent issue throughout history. Recent decades have seen significant outbreaks of zoonotic viruses from members of the Coronaviridae, Filoviridae, Paramyxoviridae, Flaviviridae, and Togaviridae families, resulting in widespread infections. The continual emergence of zoonotic viral pathogens and associated infections highlights the need for prevention strategies and effective treatments. Central to this effort is the availability of suitable animal models, which are essential for understanding pathogenesis and assessment of transmission dynamics. These animals are also critical for evaluating the safety and efficacy of novel vaccines or therapeutics and are essential in facilitating regulatory approval of new products. Rapid development of animal models is an integral aspect of pandemic response and preparedness; however, their establishment is fraught by several rate-limiting steps, including selection of a suitable species, the logistical challenges associated with sharing and disseminating transgenic animals (e.g., the time-intensive nature of breeding and maintaining colonies), availability of technical expertise, as well as ethical and regulatory approvals. A method for rapid development of relevant animal models that has recently gained traction is the use of gene therapy vectors to express human viral receptors in readily accessible laboratory animals to enable virus infection and development of clinical disease. These models can be developed rapidly on any genetic background making mechanistic studies and accelerated evaluation of novel countermeasures possible. In this review, we will discuss important considerations for the effective development of animal models using viral vector approaches and review the current vector-based animal models for studying viral pathogenesis and evaluating prophylactic and therapeutic strategies.

Artificial Intelligence (AI) faces several mathematical challenges, such as optimization, generalization, interpretability of models, and phase transitions. These problems significantly limit the application of AI in critical areas such as medicine, autonomous systems, and finance. This paper examines the main mathematical problems of AI and proposes solutions based on the use of the universality of the Riemann zeta function.

Ventricular Assist Devices (VADs) are designed to provide adequate blood flow to patients suffering from heart failure. Once implanted, the patient becomes dependent on the VAD, making it unacceptable to have situations with the potential to cause harm to patients on circulatory support. The VADs can be categorized as Critical Systems (CS), as device malfunction or Adverse Events (AEs) can result in harm to the patient, including the risk of death. Undesirable situations can occur in two ways: deviations in the functionality of the VAD linked to failures or defects or deviations in the patient's physiological responses associated with AEs. The AEs can result in hospitalization, causing permanent harm to the patient, including the risk of death. Patient care is provided through in-person consultations, and reports of incidents are submitted through Medical Device Reports (MDRs), monitored by the Food and Drug Administration (FDA). However, the crucial issue is that there is no real-time monitoring of AEs or supervision of patients. Therefore, an Open System for Supervising Critical Adverse Processes in Patients with Implanted Ventricular Assist Devices (OSCVAD) is proposed based on horizontal and vertical integration architecture. A method for structuring the processes in this system is proposed to address its complexity, involving different domains of operation: device, patient, and medical team, as well as the possible interactions between the entities that comprise the OSCVAD. In this context, the formalism of Interpreted Petri Nets was employed to synthesize diagnostic models for AEs and intervention models based on Intervention Protocols, utilizing the medical team's knowledge.

A comprehensive study (monitoring, thermodynamic modeling) of natural and anthropogenically polluted waters of the Lovozero Massif has been carried out. A thermodynamic study of the weathering of the Lovozero Massif within the “water-rock-atmosphere” system at a temperature of 5°C showed that the elements contained in the rocks of the studied massif influence the formation of the chemical composition of natural waters. It has been established that an increase in the degree of “water-rock” interaction leads to an increase in the concentrations of F, Cl, SО42-, HCO3- in the solution. This affects the mobility of lanthanum, cerium and other elements due to the formation of complex compounds with them. The relatively high content of fluorine, phosphorus, HCO3- (weak and medium acids) in the solution promotes the dissolution of silicates while Si, Al, P are released into the solution. Monitoring of water from a flooded mine in which there is an increase in the degree of interaction of water with rock showed higher pH values for the concentrations of Na, HCO3-, F-, P, Al, Si, V, U, La, Ce. The conclusions are relevant in the context of groundwater extraction for drinking water supply purposes. The obtained information is useful to evaluated the health of the population of the region under study.

In this work, we present two datasets for specific areas located in South Tyrol (Italy) and in Tyrol (Austria) that can be exploited to monitor and understand water resource dynamics in mountain regions. The idea is to provide the reader with information about the different sources of water supply over five defined test areas. The Snow Cover Fraction (SCF) and Soil Moisture Content (SMC) datasets are derived from machine learning algorithms based on remote sensing data. Both SCF and SMC products are characterized by a spatial resolution of 20 m and are provided for the period from October 2020 to May 2023 (SCF) and from October 2019 to September 2022 (SMC) respectively, each covering 3 seasons of interest, winter for SCF and spring-summer for SMC. For SCF maps, the validation with very high-resolution images shows high correlation coefficients of around 0.9. The SMC products were originally produced with an algorithm validated at global scale, but here, to obtain more insight in the specific alpine mountain environment, the values estimated from the maps are compared with ground measurements of automatic stations located at different altitudes and characterized by different aspects in the Val Mazia catchment in South Tyrol (Italy). In this case a MAE between 0.05 and 0.08 and an unbiased RMSE between 0.05 and 0.09 m3·m-3 were achieved. The datasets presented can be used as input for hydrological models as well as to hydrologically characterize the study alpine area starting from different sources of information.

With the improvement of computer, artificial intelligence, information technology and other technical levels, the relationship between man-machine environment systems is more complicated and diversified. The optimization, iteration and development of the new generation of intelligent equipment system and human-computer interaction interface put forward higher requirements for ensuring the safety of personnel, improving the efficiency of human-computer interaction and improving the efficiency of the system. Such as intelligent cabin adaptive cognitive decision aid system, how to adopt intelligent information display and human-computer interaction, optimize information processing, strengthen situational awareness; How to effectively present information and improve the efficiency of human-computer interaction, so that the system has good security, applicability and maximize its effectiveness; How to deal with man-machine matching and man-machine collaboration problems, so as to improve the efficiency of man-machine/unmanned collaborative work. Human factors throughout the life cycle of equipment systems must be fully considered. The human factor is considered in the system design, so that people, machines and the environment can work together and adapt to each other, so as to achieve benign interaction and feedback between people and equipment and interface and complete the full transmission and communication of human-machine intelligent interaction information. The development of new aircraft human-computer interaction systems combined with new technological methods has also gradually changed the role of pilots and staff. From the system operator gradually into the monitor and decision maker, especially with the improvement of the degree of intelligent flight, information technology, advanced complex airborne equipment is increasing, the amount of information that operators need to deal with is also increasing, and the allowed time for judgment and decision is very short, and the mental resources that pilots bear are gradually rising. As the mental load is a key factor affecting the allocation of cognitive tasks, when encountering emergency situations, the mental load overload caused by the increase of information processing tasks often occurs, which seriously affects the task performance of operators, physical and psychological comfort and flight safety, and thus affects the efficiency and safety of the entire aircraft man-machine system. This requires us to conduct real-time analysis of human-computer interaction situational awareness, especially the individual cognitive state as an uncontrollable factor.

An analysis of the current state of development in the agro-industrial complex (AIC) has established that freeze-drying is the most effective method for processing raw materials entering the drying stage. However, this drying method is hindered by the lack of modern, high-performance, energy-efficient drying technologies and equipment. The production of freeze-dried agricultural products will stimulate the development of AIC sectors. The implementation scheme of an automatic control system for a vacuum freeze-drying unit is considered, representing a promising and environmentally friendly direction in the processing of agricultural products. The drying equipment includes the following components and systems: a drying chamber, a cooling system, a vacuum pump, a control system, and a heating system. The product is placed on shelves in the drying chamber and frozen to a temperature that ensures the removal of 75-80% of the moisture contained in the product. The vacuum pump creates a pressure of 10-30 Pa and evacuates the spent air from the sublimator. Water vapor condensation occurs in the desublimator, and at the final stage of the drying process, the heating elements are activated to remove the remaining moisture. To validate the reliability of controlling the operating modes of the sublimator, experimental studies were conducted on the temperature dependence of the product on the surface and in the center over time. The graphs show temperature changes on the surface and in the center of the product throughout the drying process. The research results indicate that at a pressure of 20±5 Pa, the desublimator temperature should be below -20°C. The surface temperature of the product during the sublimation stage should be within the range of -25±5°C. Drying is completed when the chamber temperature reaches no more than 40°C, and the surface temperature of the product is around 30°C.

A basic limitation of the periodogram as frequency estimator is that any of its significant peaks may be produced by a diffuse (or spread) frequency component instead of a pure one. Diffuse components are common in applications such as channel estimation in which a given periodogram peak reveals the presence of a complex multipath distribution (unresolvable propagation paths or diffuse scattering, for example). We present a method to detect the presence of a diffuse component in a given peak based on analyzing the projection of the data vector onto the span of the signature’s derivatives up to a given order. Fundamentally, a diffuse component is detected if the energy in the derivatives’ subspace is too high at the peak’s frequency, and its spread is estimated as the ratio between this last energy and the peak’s energy. The method is based on exploiting the signature’s Vandermonde structure through the properties of discrete Chebyshev polynomials. We also present an efficient numerical procedure for computing the data component in the derivatives’ span based on barycentric interpolation. The paper contains a numerical assessment of the proposed estimator and detector.

Two new harziane diterpenes (1-2), five undescribed cyclonerane sesquiterpenes (3-7) and three known compounds, 11-cycloneren-3,7,10-triol (8), harziandione (9), and dehydroacetic acid (10) were isolated from Trichoderma hamatum b-3. Their structures were elucidated via comprehensive inspection of spectral evidences in HRESIMS, 1D and 2D NMR, the absolute configuration of 1-8 was confirmed by NMR, ECD calculation as well as Mosher's method. In vitro fungicidal activity showed that some compounds showed great inhibitory activity against pathogenic fungi including Fusarium graminearum, Sclerotinia sclerotiorum, Botrytis cinerea, and Rhizoctonia solani, among which compound 10 showed 100% inhibition of S. sclerotiorum and B. cinerea. In vivo activity test showed that compound 10 was 65.8% effective against B. cinerea and has the potential to be developed as a biocontrol pesticide.

Reliable soil moisture information is essential for accurate irrigation scheduling. A wide range of soil moisture sensors are currently available on the market, but their performance needs to be evaluated as most sensors are calibrated under limited laboratory conditions. The aim of this study was to evaluate the performance of six commercially available moisture sensors (HydraProbe, Teros 10, Teros 11, EnviroPro, CS616 and Drill&Drop) and three tensiometers (Irrometer RSU-C-34, Teros 32 and Teros 21) and to establish calibration equations for a typical sandy soil of the Doñana National Park (Huelva, Spain). The calibration process for soil moisture sensors indicated dif-ferences between factory and corrected equations. All tested sensors improved with adjustments made to the factory calibration, except for the HydraProbe sensor which had a more accurate factory equation for a sandy soil. Among the various sensors tested, the Teros 10, Teros 11, and HydraProbe were found to be the easiest to install, typically positioned with an auger to prevent preferential pathways and ensure adequate sensor-soil contact. For tensiometers, the Teros 32 sensor requires specialized labor for its correct installation, as it must be positioned at a specific angle and maintained with distilled water. All tensiometers need a stabilization period after in-stallation.

This study aims to evaluate the impact of the Intervention Model on improving community knowledge, attitudes, and behavior related to ecotourism accessibility for people with disabilities in Ternate City, with a focus on addressing gaps in understanding and support through educational services and distribution of educational materials in the form of brochures with a participatory approach. The research design used a quasi-experiment involving 4,964 residents, where 287 participants were randomly selected through Cluster Random Sampling. Three tourist destinations were chosen as research locations, namely Sulamadaha Beach, Tolire Besar Lake, and Batu Angus Geotourism in Ternate City, North Maluku. The results showed that the intervention significantly improved community knowledge, attitudes, and behavior related to ecotourism accessibility, with a significance value (Sig. (2-tailed) of 0.000 <α = 0.05) indicating a significant difference between the experimental group and the control group after community-based interventions were carried out. In conclusion, this model has been proven effective in improving community knowledge, attitudes, and behavior towards ecotourism accessibility and can be used as a reference for similar programs in other locations to improve ecotourism accessibility globally.

A lack of evidence exists regarding the intervention effect on motor performance, including the timing ability and health-related physical fitness, of children with developmental coordination disorder (DCD). We aimed to assess the effects of school-based intervention that improves fundamental motor skills (FMS) on the motor performance and health-related physical fitness of children with DCD. The participants were 55 children (age 8 – 9 years) with DCD. Children with DCD were randomly assigned to either the intervention group (n = 27) or control group (n = 28). The intervention group participated in FMS training. The control group participated in a conventional physical education class. Motor performance was evaluated before and after the intervention using the Test of Gross Motor Development, second edition, Movement Assessment Battery for Children, second edition, and Interactive Metronome. Health-related physical fitness was assessed using the physical activity promotion system. A significant difference was observed when we considered the interaction effect of the intervention and time regarding motor performance and health-related physical fitness; however, no significant difference was observed regarding body composition. In conclusion, the intervention showed significant improvements in the parameters evaluated, suggesting that a school-based intervention to improve FMS may effectively improve the motor performance and health-related physical fitness of children with DCD.

Interdisciplinary research consists of many levels and pathways. One research level that has emerged since the early 21st century is called integration science. Specifically, we focus on a research pathway that structurally integrates social sciences with theoretical physics from perspectives of dynamic analysis. Building on nearly 20 years of prior work, this paper proposes a basic theory of integration science, laying the theoretical foundation for its subsequent development. The significance of integration science operates on three levels. First, identifying structural connections between different disciplines helps in our holistic understanding of natural and social phenomena. Second, generally speaking, the current level of conceptualization and modeling in natural sciences, especially physics, is ahead of social sciences. Integration science research can help elevate the level of conceptualization and modeling in social sciences. Third, the structural similarity across different disciplines reflects the shared thinking of scientists from various fields. Integration science is not simply a synthesis of knowledge from different disciplines. The standard of integration science is to enable social sciences and natural sciences to share the same mathematical structures, thereby possessing a unified mathematical language for description. The empirical basis of integration science is discussed, proposing a unified theory of interdisciplinary scientific observation. This includes concepts like the directionality of scientific observation and the orthogonal principle, the concept of observational disturbance and the diagonal law, defining low and high disturbance quadrants, and discussing why different disturbance quadrants follow their respective mathematical paths. The basic theory of integration science is proposed. The application of category theory in integration science is introduced, along with the necessary semantic supplements. The fundamental concepts of integration mathematics are proposed, defining concepts like integration points, lines, plans, and bulks, and discussing their algebraic and functional analysis methods, thereby laying the mathematical foundation for the integration science. The structural force hypothesis is proposed, along with an axiomatic system of structural forces, thereby laying the philosophical foundation for integrative science. Based on prior work, specific cases of integrative points, lines, plans, and bulks are provided.

With many Americans eager to resume travel after prolonged restrictions from the coronavirus pandemic, car rentals are on the rise. According to Auto Rental News, “2021 U.S. Car Rental Revenue Climbs 21% Year-Over-Year” (Brown, 2021). In conjunction with increased car rental, and associated travel, we can expect to see an increase in cyber security and data privacy attacks. In the digital age, enterprises have a responsibility to protect consumers’ personally identifiable information (PII). As it pertains to rental vehicles, when consumers connect their mobile devices to a rental vehicle’s Entertainment and Infotainment System or utilize the built-in navigation feature, they do so, unbeknownst to themselves that the information from their devices is transferring to the vehicle, where it will remain, unless properly expunged from the system. A large majority of consumers are blissfully unaware that their PII is being stored, and how easy it would be for an adversary to potentially breach their data security and privacy. To expand upon this hypothesis, I conducted a further investigation on the subject, by partaking in the rental of three different vehicles, each belonging to a different manufacturer (Nissan, Chrysler, and Maserati), from three different vehicle rental companies (Enterprise, Hertz and Turo). I then, as a consumer, tested my hypothesis to determine if, I was able to easily breach the prior consumers’ data security and privacy by viewing devices that had previously connected to the vehicle, as well as any of the previous consumers’ personal information. The results were undeniable; the PII of the previous consumers is not protected.

Background/Objectives: Energy availability (EA) is essential for maintaining physiological func-tions, significantly influencing athletes' health and performance. Nutritional behaviours, how-ever, vary across sports. This study aims to assess EA levels in athletes from different disciplines, focusing on the relationship between EA and body composition in endurance athletes compared to rugby players. Methods: The study involved 18 endurance athletes (15 men, 3 women) and 36 rugby players (all men). Data were gathered through interviews, questionnaires, and bioim-pedance analysis. Energy intake (EI) was measured with a 24-hour dietary recall, and exercise energy expenditure (EEE) was calculated using the IPAQ questionnaire. EA was calculated as EA = (EI - EEE) / fat-free mass (FFM), with results categorized into clinical, subclinical, and optimal ranges. Results: The endurance group had a lower average FFM (57.81 kg) compared to the rugby players (67.61 kg). EA was also significantly lower in endurance athletes (11.72 kcal/kg FFM) than in rugby players (35.44 kcal/kg FFM). Endurance athletes showed more restrictive nutritional behaviour with lower EI and higher EEE, but both groups maintained body composition within normal ranges. Conclusions: Endurance athletes exhibit greater nutritional restrictions compared to rugby players, though their body composition remains healthy. Further research is required to investigate the long-term effects of low EA on performance, injury risk, and potential impairment when EA falls below the optimal threshold of 45 kcal/kg FFM/day.

Background: Extensive-stage SCLC (ES-SCLC) treatment has recently been revolutionized by the advent of immune checkpoint inhibitors. This survey was conducted to evaluate the current pattern of care among Italian clinicians, in particular about the integration with radiation therapy (RT). Methods: In June 2023, 225 Italian cancer care professionals were invited to 21-question web-based survey about the ES-SCLC management through personal contacts and the Italian Association for Radiotherapy and Clinical Oncology (AIRO) network. Results: We received 90 responses, the majority were radiation oncologists (89%) with more than 10 years of experience (51%). Preferred management of ES-SCLC in patients with a good performance status was concomitant chemo-immunotherapy (84%). Almost all respondents recommended prophylactic cranial irradiation (PCI) (85%), taking into account age and thoracic response; PCI was performed mainly between the end of chemotherapy before starting immunotherapy (37%), with three-dimensional conformal technique (46%). Furthermore, 83% of respondents choose to deliver thoracic RT in case of both intrathoracic and extrathoracic response with a RT schedule of 30 Gy/10 fractions. Stereotactic RT is increasingly being used in oligoprogressions. Conclusions: Our analysis showed the variability of real-world management of ES-SCLC. Future clinical trials and developments are needed to improve the multidisciplinary treatment of these patients.

Thoracostomy and chest tube placement are key procedures in treating various pleural diseases involving the accumulation of fluids (e.g. malignant effusions, serous, pus, or blood) or air (pneumothorax) in the pleural cavity. Initially described by Hippocrates and refined through the centuries, chest drainage obtained historical milestones with the creation in the 19th century of closed drainage systems with methods to prevent the entry of air into the pleural space and to reduce infection risk. The introduction of plastic materials and the Heimlich valve further revolutionized chest tube design and function. Technological advancements led to the availability of various chest tube designs (straight, angled, pig-tail) and drainage systems, including polyvinyl chloride (PVC) and silicone tubes with radiopaque stripes for better radiological visualization. Modern chest drainage units (CDUs) can incorporate smart digital systems that monitor and graphically report pleural pressure and evacuated fluid/air, improving patient outcomes. The application of suction, whether via wall systems or portable digital devices, enhances the efficacy of pleural drainage, although careful regulation is needed to avoid complications such as reexpansion pulmonary edema or prolongation of air-leak. To prevent recurrent effusion, particularly due to malignancy, pleuroedsis agents can be applied through a chest tube into the pleural space. In other circumstances, such as non-expandable lung (NEL), maintaining a long-term chest drain may be the most appropriate approach and procedures such as placement of an indwelling pleural catheter (IPC) can significantly improve quality of life. Continued innovations and rigorous training ensure that chest tube insertion remains a cornerstone of effective pleural disease management.

Metabolic diseases are major diseases affecting animal welfare, health and production of small ruminants´ flocks for dairy and meat purposes. In breeding females, they mainly occur from six to eight weeks before and after parturition, respectively. The pregnancy toxemia and lactational ketosis are manifestations of hyperketonemia, primarily due to energetic deficit. Hypocalcemia and hypomagnesemia are related to the metabolic availably of calcium and magnesium, respectively. This review aimed to identify and discuss the current and most relevant aspects related to individual and herd heath management of these interrelated metabolic diseases with impact in the sheep and goats´ farm sustainability. These diseases are primarily due to nutritional deficit, but homeostatic and homeorhetic disruptions are responsible for clinical signs and forms. Currently, their clinical diagnosis and monitoring are mainly supported by biochemistry from animal fluids, and bromatological evaluation of the feed. Epidemiological studies, measuring risks factors, also contributes for their prevention. Nevertheless, research on specific biomarkers and composite indexes related to these diseases, in a context of herd health management and precision medicine, are new pathways driven to a suitable and efficient animal production.

The article delves into the landscape of the plant-based food industry, exploring innovative market entry strategies and their interplay with the evolving food market and shifting consumer preferences and lifestyles. Adopting a multidimensional approach, the study reflects diverse perspectives at play. Through a comparative analysis of strategic promotion and growth strategies employed by both innovative startups and established industry giants in the plant-based alternatives sector in Germany, the study aims to capture the challenges faced by the 'newer' wave of plant-based alternatives. This examination is particularly relevant for navigating the complexities of entering a competitive market. Striving to penetrate evolving consumer lifestyles, the study draws insightful comparisons with their "older" counterparts. In addition, through in-depth interviews with selected companies, the study investigates the entry methods of startups venturing into the German market, aiming to identify parallels and contrasts in market strategies with established brands. This provides valuable insights into innovation within the alternative food market. Furthermore, the study explores the process of brand "platformization" by scrutinizing the websites of the selected companies and analyzing customers' online reviews of their brand experience. This comprehensive analysis unveils distinctive patterns in communication strategies, brand positioning, and consumer engagement, offering insights into plant-based innovation shaping new, caring lifestyles. Main findings include a strong correlation among dimensions related to food quality, use, and taste, indicating a holistic approach to food consumption facilitated by online platforms.

There is a strong global demand for sulfate- free personal cleansing products. The objective of sulfate-free personal cleansing technology should not be aimed at the absence of “sulfate” wording in the ingredient listing, but on the true benefits to both people and the planet, including but not limited to safety, mildness, and sensory for the people perspective and renewability, low carbon footprint, low water footprint, biodegradability &amp; sustainability for the planet perspective. In addition, some surfactants or their precursors contain 1,4-dioxane as a by-product in their manufacturing, which is a major safety concern. In this paper, several commonly used sulfate-free surfactants are compared based on a variety of desirable criteria from both the people and the planet perspective. There is also an important trend promoting green manufacturing processes using natural, renewable, safe, biodegradable &amp; sustainable feedstocks to mitigate the challenges presented by climate change. It is concluded that the best options for the sulfate-free personal cleansing products of the future are glutamates for skin cleansing and alaninates for hair cleansing.

The aim of this research work consisted of assessing the effects of the COVID-19 pandemic on the interurban public transport system in a rural region with a sparse population density, considering the number of tickets sold and passengers in each locality, as well as the different connecting lines. From a methodological point of view and with the intention of identifying patterns to explain the behaviour of both routes and passengers, a series of variables were selected, becoming determining factors that sought to offer a solution to the search for a common trend. Additionally, data processing by means of statistical analysis and the application of Geographic Information Systems (GIS) tools complemented the procedure. The results obtained in the investigation were provided both by municipality and by interurban route. An interesting finding of the research was the uneven recovery of the municipalities. The localities closest to the attractor nucleus have recovered more quickly to pre-pandemic mobility levels due to their geographical proximity, larger population, higher income per household and the need to access certain public services. In terms of routes, all lines showed significant decreases in ticket sales, although with variations. Although passenger numbers have shown a gradual recovery, the initial loss was considerable, and pre-pandemic normality has not been completely achieved. The authors consider that future research should include other alternative means of transport in these interurban areas, incorporating variables to characterise passengers, such as age, gender...etc.

The application of hydrogen flooding was recently shown to be a simple and effective approach towards improved layer differentiation and interface determination during SIMS depth profiling of thin films as well as an approach with a potential in the field of quantitative SIMS analyses. To further study the effects of hydrogen, the flooding of H₂ molecules was compared to the reactions of the atomic H on the samples of pure metals and their alloys. H₂ was introduced into the analytical chamber via a capillary which was, to achieve the dissociation, heated to approximately 2200 K. Dissociation of H₂ up to 30% resulted in a significant increase in the intensity of the metal hydride cluster secondary ions originating from the metallic samples. Comparison of time scales of possible processes provided an insight into the mechanism of the hydride cluster secondary ion formation. Cluster ions presumably form during the recombination of the atoms and molecules from the sample and adsorbed atoms and molecules from the gas. This process occurs on the surface or just above it during the sputtering process. These findings coincide with the previous mechanistic and computational studies.

Despite medical advances, sepsis and septic shock remain one of the leading causes of mortality worldwide, with a high inter-individual variability in prognosis, clinical manifestations and response to treatment. Given the heterogeneity of sepsis and recent technological progress amongst machine learning analysis technique, a new, personalized approach in sepsis is being intensively studied. Despite the difficulties when tailoring a targeted approach, with the use of artificial intelligence-based pattern recognition, more and more publications are becoming available, highlighting novel factors that may intervene in the high heterogenicity of sepsis. This has led to the devise of a phenotypical approach in sepsis, further dividing patients based on host and trigger-related factors, clinical manifestations and progression towards organ deficiencies, dynamic prognosis algorithms and patient trajectory in the Intensive Care Unit (ICU). Host and trigger-related factors refer to patients’ comorbidities, body-mass index, age, temperature, immune response, type of bacteria and infection site. The progression to organ deficiencies refers to individual particularities of sepsis-related multiorgan failure. Finally, the patient’s trajectory in the ICU points out the need of a better understanding of interindividual response to various supportive therapies. This review aims to identify the main sources of variability in clustering septic patients in various clinical phenotypes, as a useful clinical tool for precision-based approach in sepsis and septic shock.

Background: Posterior malleolar fractures (PMFs) account for 7-44% of all ankle fractures, and are crucial for ankle stability, associated with poorer functional outcomes and higher rates of traumatic arthritis. Despite the exact mechanism and treatment strategy of this kind of fractures still remain controversial, most orthopaedic surgeons tend to treat PMFs with open reduction internal fixation method. To achieve rigid fixation for the fragment, screws should be inserted across the fracture plane perpendicularly. However, the study on the spatial geometry of the fracture surface of PMFs, especially the trend surface, has not been reported before.Objective: This study aimed to construct the trend surface of PMFs and establish an algorithm to better understand the spatial geometry of the fracture surface, which could guide treatment strategies.Methods: A retrospective analysis of CT images of PMFs from January 2021 to January 2024 was conducted. Cases were grouped according to the Bartoníček classification system. The skeletal ankle models were reconstructed, which were then transformed into CAD models. Fracture surfaces were segmented, and point clouds were output to record coordinate values. The K-Dimensional Tree data structure was built for the efficient indexcality of the Depth-First-Search algorithm to find the matched points in the clouds. The average point was computed for matched points, and subsequently, the fracture trend surface and heat map were generated.Results: Twenty-four cases were included. The posterior malleolar fracture trend surface was composed of two surfaces, each approximated as a plane and intersect an angle about 130.5°. The posterolateral surface extended slightly curvingly from the posterior two-fifths of the fibular notch to the posteromedial one-third of the distal tibia, formed an angle of 10.1° with the tibia axis and 10.1° with the coronal plan of the lower leg. The posteromedial surface extended from the posteromedial one-third of the distal tibia towards the intercollicular groove, formed an angle of 5.2° with the tibia axis and 39.4° with the coronal plan of the lower leg. The heat map revealed that the high-frequency fracture regions presented at 16.0mm away from the posterior malleolar distal edge and 11.2mm medial to the posterior margin of the fibular notch.Conclusion: The study provides a novel perspective on PMFs by describing the spatial geometric morphology of the fracture surface. This can be useful for the treatment strategies. 1. The fracture lines on the bone surface help us generate a stereoscopic model of the fracture surface in our brain, but this model may not be the same as the true fracture surface. 2. In A-P fluoroscopic view, 16.0mm away from the posterior malleolar distal edge and 11.2mm medial to the posterior margin of the fibular notch were the high frequency regions where the fracture surfaces passed through. 3. To firmly hold the posterolateral PMF, 3 key screws should be parallelly inserted into the distal tibia through the fragment, oriented medially 10.4°, cephalad 10°. The insertion points of the screws, in back view, are individually identified at 8.3mm, 16.9mm, 8.3mm superior to the inferior margin of the posterior malleolus, and 6.0mm,10.5mm, 15.1mm posterior to the posterior margin of the fibular notch. The depth of the screws should be no more than 40mm to avoid irritating the anterior tendons, vessels and nerves.

Alzheimer’s disease (AD) is a neurodegenerative disease that is characterized as a progressive decline in cognitive functions that primarily affects older adults. Alzheimer’s is pathophysiologically characterized by the accumulation of amyloid-beta (Aβ) plaques, neuroinflammation, accumulation of tau proteins in neurofibrillary tangles (NFTs), and tissue loss. These three main characteristics are hallmarks of neurodegeneration. Statins are a class of medications that lower the cholesterol levels in the blood, and their anti-inflammatory effects have gained attention for their potential impact on influencing AD progression. This literature review explores the relationship between the use of statins and AD, examining the effect of statins on cholesterol metabolism, neuroinflammation, apolipoprotein E (ApoE), and Aβ production. This literature review was conducted using PubMed and Google Scholar to summarize the association between statins and AD. The neurodegenerative properties of Alzheimer’s disease have been imaged and documented in both rodent models and humans. Experiments using transgenic mice and knock-in mice have shown that specific human genes enhance neurodegeneration, and the overactivation of glial cells in the brain causes hallmark neuroinflammation. These rodents all subsequently suffered from neurodegeneration and AD symptoms. Humans showed promise of possible AD biomarkers in the blood and brain through the presence of excess isoprostanes and oxysterols, respectively, providing hope for future research into early detection/treatment. There has been evidence that statins exhibit neuroprotective pleiotropic effects in rodent models, showcasing reductions in cellular adhesion molecules (the main molecule in inflammation), oxidative stress, and inflammatory peptides. ApoE is a cholesterol transport protein in the brain and is critical to forming an effective synapse. Statin use has effectively altered the ApoE4 allele and reduced the Aβ production in the brain. However, the mechanism for which statins slow the progression of neurodegeneration in AD is still unclear and warrants further research before it can be officially called a treatment.

Radiation-induced lung injuries (RILI) are a notable complication of thoracic radiotherapy, significantly affecting the quality of life and prognosis for cancer patients. We present the case of a 68-year-old man with metastatic prostate cancer who underwent radiation therapy for a metastatic thoracic vertebral lesion identified with high uptake on a PET-PSMA scan. Four months later, a follow-up PET-PSMA scan indicated that the pathological uptake in the vertebra had resolved, but it also revealed a new lung consolidation with PSMA uptake. This case illustrates a potential pitfall in interpreting PSMA PET-CT findings, as the uptake in the lung lesion was due to RILI rather than malignancy, infection, or another form of pneumonia, highlighting the necessity for careful clinical correlation to avoid misdiagnosis and potentially inappropriate and unnecessary treatment.

This paper proposes an omnidirectional conveyor as a novel alternative to existing omnidirectional conveyors. With symmetric and compact layout, this new structure ensures consistent kinematics and enhanced flexibility in trajectory planning. The kinematic model of the proposed omnidirectional conveyor is developed and verified through simulation in CoppeliaSim. Four typical classes of trajectories are generated and verified in the simulation environment. Using PID control, the actual trajectories of a package on the conveyor closely match the desired trajectories. In addition, this paper outlines the workspace and corresponding wheel patterns for the conveyor, demonstrating how different supported wheel patterns emerge when packages move across various areas of the conveyor. The discussion extends to fault tolerance and obstacle avoidance, examining the workspace and wheel patterns with one or two omni wheels failed. Furthermore, this paper provides a comprehensive analysis on the feasible desired movements for the packages on the conveyor under the constrained wheel speed. This provides insights and guidance on trajectory planning and design of the conveyor.

The effect of zirconium modified with silica dioxide in the conductivity of modified nanocomposite membrane in proton exchange membrane fuel cells (PEMFCs) application. In this study silica-zirconia nanoparticles were successful synthesized by precipitation method. The surface area and surface morphology of Si-ZrO2 nanoparticles were observed under BET analysis, X-ray diffraction (XRD), scanning electron microscope (SEM), and transmission electron microscope (HRTEM). SEM and XRD results show that silica was well incorporated into ZrO2 nanoparticles with the mixed shape of nanorods and nanosphere. HRTEM shows a crystallised small nanoparticle with average diameter about 5–8 nm. The element analysis (EDX) confirms the presence of silica and zirconia nanoparticles as well as oxygen on the surface. The addition of silica has impact on the surface area and pore size of Si-ZrO2 nanoparticles, with Si-ZrO2 nanoparticles having a higher surface area of 185 m2/g when calcinated at 600 °C. It was shown that the Si-ZrO2 can be used as an impregnating membrane to enhance the conductivity as observed by cyclic voltammetry (CV), with a rectangular shape that exhibiting the best capacitance behaviour.

AbstractThe global textile industry is undergoing a significant transformation fueled by digital advancements, shifts in consumer behavior, and evolving market dynamics. This study investigates how digital platforms, such as e-commerce and customer relationship management (CRM) systems, can enhance operational efficiency, customer engagement, and market positioning for textile companies. Through the integration of primary data from focus groups and surveys, as well as secondary data from industry reports, this research identifies key strategies for digital adoption and market competitiveness. Using Company A as a case study, this paper explores how digital tools can address current industry challenges and foster growth in a competitive landscape. The findings reveal that implementing CRM systems significantly improves customer retention and personalized services, while adopting e-commerce platforms reduces operational inefficiencies and expands market reach. These results contribute to understanding the role of digital transformation in traditional industries, particularly with respect to customer engagement, branding, and operational optimization.

Background: This study conducts a comparative historical analysis of two significant drug crises: the opium epidemic in 19th-century Qing Dynasty China and the ongoing opioid crisis in the United States, aiming to extract applicable lessons for current global drug policies. Methodology: A historical case study approach was employed, integrating examinations of historical records, policy documents, and contemporary data to compare the development, impact, and responses to these crises within their respective contexts. Results: The analysis reveals significant parallels in socioeconomic impacts and governmental challenges. Key differences include the evolution from predominantly prohibitionist approaches in Qing China to more comprehensive public health-oriented strategies in the U.S. The study highlights the critical role of national power, particularly military capability, in effectively addressing drug crises. Conclusions: The findings underscore four key lessons: (1) Purely prohibitionist approaches often lead to unintended consequences such as black markets and increased criminal activity; (2) Addressing underlying socioeconomic factors contributing to drug abuse is crucial; (3) Aggressive anti-drug policies can escalate into severe diplomatic tensions, necessitating careful consideration of international relations in policy formulation; (4) A nation's military and economic strength significantly influences its ability to implement effective drug policies and resist external pressures that may exacerbate the crisis. These insights suggest that effective management of drug crises requires a balance of strong domestic policies, international cooperation, and maintenance of national power to ensure policy autonomy.

As Aotearoa-New Zealand faces increasing cyber threats, this paper comprehensively analyses the nation’s current cybersecurity landscape, revealing novel opportunities and challenges. Through an interdisciplinary approach, the study integrates social, cultural, and technological dimensions—providing a fresh perspective that has been underexplored in previous research. A key focus is integrating cultural values, particularly those of the indigenous Māori, into cybersecurity practices. This not only strengthens the effectiveness and trustworthiness of security measures but also fosters a more inclusive and resilient digital environment, demonstrating our deep respect for the unique contributions of Māori culture. Additionally, this paper introduces critical insights into the country's cybersecurity talent gap, with a special focus on the challenges of developing and retaining cybersecurity expertise in remote regions. Our study also uncovers underexplored opportunities for cross-sector collaboration between private enterprises, government agencies, and indigenous communities, promoting an inclusive and resilient approach to cybersecurity. By positioning Aotearoa-New Zealand as a potential leader in regional cybersecurity innovation, we provide forward-looking recommendations that leverage its distinctive cultural and technological strengths. This research contributes fresh insights to the global discourse on cybersecurity, offering practical strategies tailored to the specific needs of smaller nations.

Inherited heart diseases (IHDs) are caused by genetic mutations that disrupt the physiological structure and function of the heart. Understanding the mechanisms behind these diseases is crucial for developing personalised interventions in cardiovascular medicine. Development of induced pluripotent stem cells, which can then be differentiated to any nucleated adult cell type, has enabled the creation of personalised single-cell and multicellular models, providing unprecedented insights into the pathophysiology of IHDs. This review provides a comprehensive overview of recent advancements in human iPSC models used to dissect the molecular and genetic underpinnings of common IHDs. We examine multicellular models and tissue engineering approaches, such as cardiac organoids, engineered heart tissue, and multicellular co-culture systems, which simulate complex intercellular interactions within heart tissue. Recent advancements in stem cell models offer a more physiologically relevant platform to study disease mechanisms, enabling researchers to observe cellular interactions, study disease progression, and identify therapeutic strategies. By leveraging these innovative models, we can gain deeper insights into the molecular and cellular mechanisms underlying IHDs, ultimately paving the way for more effective diagnostic and therapeutic strategies.

New allyl derivative of curcumin containing three allyl groups (1E,6E)-4-allyl-1,7-bis(4’-allyloxy-3’-methoxyphenyl)hepta-1,6-diene-3,5-dione was synthesized by the reaction of curcumin with the excess of allyl bromide in the presence of K2CO3 in acetone under reflux. The triple allylated curcumin was characterized by 1H and 13C NMR spectroscopy and single-crystal X-ray diffraction study.

Flexible humidity sensors (FHS) with fast response and durability to high-humidity environment are highly desirable for practical applications. Herein, an FHS based on crosslinked sodium alginate (SA) and MXene was fabricated, which exhibited high sensitivity (impedance varied from 107 to 105 Ω between 10% and 90% RH), good selectivity, prompt response (response/recover time of 4 s/11 s), high sensing linearity (R2 = 0.992) on a semi-logarithmic scale, relatively small hysteresis (~5% RH), good repeatability, and good resistance to high humid environment (negligible change in sensing properties after placed in 98% RH over 24 h). It is proposed that the formation of crosslinking structure of SA and introduction of MXene with good conductivity and high specific surface area contributed to the high performance of the composite FHS. Moreover, the FHS could promptly differentiate respiration status, recognize speech and measure fingertip movement, indicating potentials in breath monitoring and non-contact human-machine interactions. This work provides guidance for developing advanced flexible sensors with wide application scope in wearable electronics.

Codon bias analysis of SARS-CoV-2 reveals suboptimal adaptation for translation in human cells it infects. The detailed examination of the codons preferentially used by SARS-CoV-2 shows a strong preference for LysAAA, GlnCAA, GluGAA, and Arg AGA infrequently used in human genes. In the absence of an adapted tRNA pool, efficient decoding of these codons requires a 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2) modification at the U34 wobble position of the corresponding tRNAs (tLysUUU; tGlnUUG; tGluUUC; tArgUCU). The optimal translation of SARS-CoV-2 open reading frames (ORFs) may therefore require several adjustments to the host's translation machinery, enabling the highly biased viral genome to achieve a more favorable "Ready-to-Translate" state in human cells. Experimental approaches based on LC-MS/MS quantification of tRNA modifications and on alteration of enzymatic tRNA modification pathways provide strong evidence to support the hypothesis that SARS-CoV-2 induces U34 tRNA modifications and relies on these modifications for its lifecycle. The conclusions emphasize the need for future studies on the evolution of SARS-CoV-2 codon bias and its ability to alter the host tRNA pool through the manipulation of RNA modifications.

Traditional mining activities in Zaruma-Portovelo (SE Ecuador) have led to high concentrations of pollutants in the Puyango River due to acid mine drainage (AMD) from abandoned waste. Dispersed Alkaline Substrate (DAS) passive treatment systems have shown efficacy in neutralizing acidity and retaining metals and sulfates in acidic waters, achieving near 100% retention for Fe, Al, and Cu, over 70% for trace elements, and 25% for SO₄²⁻. However, significant solid residues are generated, requiring proper geochemical and mineralogical understanding for management. This study investigates the fractionation of elements in AMD precipitates. Results indicate that trivalent metals (Fe, Al) form low-crystallinity oxyhydroxysulfate minerals such as schwertmannite and jarosite, which retain elements like As, Cr, Cu, Pb, and Zn through adsorption-coprecipitation. Sulfate removal occurs via salts like coquimbite and gypsum. Divalent metals are primarily removed through carbonate and bicarbonate phases, with minerals such as azurite, malachite, rhodochrosite, and calcite. Despite the effectiveness of DAS, leachates from the precipitates exceed regulatory thresholds for aquatic life protection, classifying them as hazardous and posing environmental risks. However, these residues offer opportunities for the recovery of valuable metals.

Objective: This study aims to investigate the effects of acupuncture therapy on the quality of life, early recurrence rate, and heart rate variability in patients following radiofrequency ablation for atrial fibrillation, as well as to assess its safety. Methods: Seventy patients were enrolled in this study. Of these, 35 patients received acupuncture treatment post-radiofrequency ablation, forming the experimental group, while the remaining 35 patients received sham acupuncture treatment, constituting the control group. The acupuncture group targeted the Xinju (BL15), Neiguan (PC6), and Shenmen (HT07) points, whereas the sham acupuncture group received sham interventions at three non-meridian and non-acupoints. Both groups underwent acupuncture treatment twice weekly for a total of 24 consecutive sessions. After three months, the total scores on the Atrial Fibrillation Specific Quality of Life Scale (AFEQT)—including symptom scores, daily activity scores, treatment anxiety scores, atrial fibrillation control scores, and symptom improvement satisfaction scores—along with atrial fibrillation burden and satisfaction scores, were compared between the two patient groups. Additionally, the recurrence rate of atrial fibrillation, frequency of hospitalizations due to arrhythmia, and incidence of adverse events occurring three months post-catheter ablation were also assessed. No significant differences were observed in the general baseline characteristics between the two groups. Results: The total AFEQT scores—including symptom scores, daily activity scores, treatment anxiety scores, atrial fibrillation control scores, and symptom improvement satisfaction scores—were significantly higher in both groups post-treatment compared to pre-treatment. Notably, patients in the experimental group exhibited statistically significant improvements in daily activity scores, treatment anxiety scores, and symptom improvement satisfaction scores compared to those in the control group (P<0.05). There were no statistically significant differences between the two groups regarding other measured outcomes. Conclusion: Acupuncture-assisted treatment of atrial fibrillation can improve the clinical efficacy of drugs and catheter ablation, help maintain sinus rhythm, increase sinus rhythm conversion rate, reduce ventricular rate, and shorten conversion time, and is safe and reliable.

This study reveals that with similar valence of empathy, the tendency for humans to help humans in need is stronger than the animal in need. It also illustrates that a convincible advertisement for a charity should be a combination of various feelings, mainly empathic anger, in addition to compassion or empathy. To gain support from young individuals or donors regardless of their personal values, the egoistic values particularly, both the NPOs in humanitarian aid as well as in environmental protection or conservation should develop ads by which each individual or donor is aroused by either an empathic anger and empathic joy or both. This claim is more applicable for any ads developed to help people in need more than animals in need. Nevertheless, this study also found the role of an animal, generally known as innocent, as an actor in an ad is likely more crucial than human. Subjects with high-egoistic values appeared to get vulnerably aroused to a higher extent by being immersed in animal’s suffering than human’s suffering. The feeling of arousal seemed to motivate subjects with high-egoistic values to not decrease the amount of donation to a charity.

This review aimed to identify the risks of cosmetics during the sensitive period of pregnancy. Pregnancy causes many hormonal changes and skin issues, such as red stretch marks, cellulite, and more. These aesthetic concerns can impact both the appearance and health of the pregnant woman. Cosmetics and aesthetic treatments can help improve these problems and positively affect the mental well-being of these women. However, the lack of clinical trials regarding the safety of such treatments during pregnancy has led to the recommendation of only the mildest aesthetic applications. Additionally, professional aestheticians and dermatologists who provide cosmetics and other aesthetic treatments (e.g., laser, ultrasound, radiofrequency) during pregnancy face challenging and sometimes adverse working conditions. They should be treated with respect for their situation, with careful consideration of all the peculiarities associated with pregnancy. Further research and additional recorded data are crucial for better understanding the use of cosmetics and aesthetic treatments during pregnancy.

In this study, the structural behavior of a short threaded anchor with a 20 mm diameter and an embedment length of 50 mm (2.5Ø) in UHPFRC is investigated using non-linear Finite Element models. UHPFRC is assumed to exhibit tensile strain-hardening behavior, with tensile strengths of 7 MPa and 11 MPa, respectively. The modelled anchor was subjected to a continuously increasing uniaxial pull-out force. The results indicate that the fracture mechanism of threaded anchors in UHPFRC is primarily characterized by the formation of a tensile membrane within the UHPFRC, which acts as the main resisting element against the pull-out force. Additionally, the influence of UHPFRC's tensile properties on the pull-out behavior and ultimate resistance of the threaded anchors was determined.