This study investigates the transformative role of mobile applications in retail marketing strategies, focusing on how these digital tools have reshaped consumer engagement, personalization, and operational efficiency. Mobile applications have emerged as pivotal assets for retailers, facilitating direct communication with customers through real-time updates, personalized promotions, and tailored content. The integration of digital loyalty programs within mobile apps has streamlined rewards systems, making it easier for customers to engage with and benefit from loyalty initiatives. By leveraging data analytics, retailers can gain deep insights into consumer behavior, optimize inventory management, and refine marketing strategies. The incorporation of augmented reality (AR) and virtual reality (VR) technologies into mobile apps has introduced innovative ways for customers to interact with products and explore virtual showrooms, enhancing the overall shopping experience. Mobile commerce (m-commerce) has also seen significant growth, driven by the convenience and accessibility provided by mobile apps, which support seamless shopping experiences and mobile payments. Despite these advantages, challenges such as data privacy concerns and the need for continuous innovation remain. Retailers must address these issues to maintain consumer trust and stay competitive. Looking ahead, emerging technologies such as artificial intelligence (AI) and machine learning (ML) are expected to further enhance mobile app functionalities and personalization. The focus on sustainability is also influencing mobile app features, aligning with consumer values and expectations. Overall, mobile applications are set to play an increasingly critical role in shaping the future of retail marketing, offering new opportunities for engagement, innovation, and growth.

Cell membrane-derived liposomes, termed Memposomes, serve as promising carriers for drug delivery due to their ability to closely mimic cells and efficiently target specific cells. Liposomes derived from cancer cell membranes, in particular, exhibit homologous targeting capabilities, making them potential candidates for cancer-specific drug delivery. However, the underlying mechanisms and specific proteins responsible for this homologous targeting phenomenon remain debated. This study focuses on the role of E-cadherin, a cell adhesion molecule implicated in homophilic adhesion, in influencing the homologous targeting ability of Memposomes derived from cancer cell membranes. E-cadherin expression patterns were assessed in various cell lines, categorizing them into E-cadherin-positive and -negative groups. Memposomes were produced for each group, and their targeting tendencies were evaluated. The study confirmed that E-cadherin expression significantly influenced the homologous targeting ability of Memposomes. Cell lines with higher E-cadherin expression levels exhibited a more pronounced homologous targeting effect. This research demonstrates that cell adhesion molecules, particularly E-cadherin involved in homophilic adhesion, play a pivotal role in influencing the cell targeting ability of Memposomes. The study further validates the stability, safety, and purity of Memposomes, emphasizing their potential as effective drug delivery vehicles for the development of cell-specific therapies.

Activating the cytosolic innate immune sensor cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway via natural and synthetic agonists holds great potential for priming robust antitumor immunity. However, the effectiveness of STING agonists is often impeded by the insufficient tumor accumulation, poor cellular entry, and rapid clearance, thus leading to difficulty of their clinic translation. Herein, we apply the human serum albumin as the single-molecule nanoreactor to encapsulate SR-717 (SH-NPs) for enhanced targeting delivery efficiency and biological potency. SH-NPs with rational size distribution exhibited superior serum stability, considerable cellular uptake and abundant tumor accumulation, thus increasing the STING signaling including phosphorylation of STING-associated proteins (TBK1, IRF3), and cytokines secretion inside tumor region. Subsequently, SH-NPs remarkably reshape the immunosuppressive tumor microenvironment into an immunogenic one that boosts antitumor T-cell immunity and improves the therapeutic efficacy of checkpoint blockade against murine tumors. We also validate SH-NPs in freshly isolated human renal tumor tissues to highlight their clinic translation capability. These findings pave the way towards targeted STING agonist delivery for reinvigorated immunotherapy of intractable cancers.

Lymphadenopathy is a common manifestation of both reactive and malignant diseases, and fine needle aspiration (FNA) is an effective and inexpensive screening method. It can prevent unnecessary invasive surgery and excisional biopsy, especially in benign cases. Unfortunately, the lack of universally accepted terminology for reporting results has hindered its widespread support. The Sydney system proposal for lymph node cytopathology categorization and reporting introduced five diagnostic categories to address the lack of universally accepted terminology for reporting results in lymphadenopathy. Our study analyzed 188 lymph node FNC samples from King Abdulaziz University Hospital, Saudi Arabia, examining clinical follow-up data, pathology records, patient information, and final diagnosis from January 2019 to December 2022. Most specimens were from axillary LNs, with 99.5% tissue correlation. The Sydney System Category classification identified 56.9% of cases as malignant, while 26.1% were benign. The final surgical specimen diagnosis revealed a higher percentage of malignant diagnoses, with the highest ROM in malignant/Category V. In conclusion, our study demonstrates that LN-FNAC offers high diagnostic accuracy for LN aspirates, with the Sydney approach potentially aiding risk stratification and achieving consistency in cytologic diagnosis, but further multi-centric research is needed.

Firefighter hoods are essential components of personal protective equipment (PPE), protecting the head, neck, and shoulders from extreme heat and hazardous particulates. This comprehensive review evaluates recent hood design and material innovations aimed at improving comfort and protective performance. Traditionally, firefighter hoods mainly focused on thermal insulation but lacked effective particulate filtration, which posed significant health risks. Recent updates to several standards set by the US National Fire Protection Association have led to advanced mul-ti-layered hoods incorporating innovative materials for improved performance. Nevertheless, challenges remain in achieving an optimal balance between comfort and protection. Firefighter hoods must not hinder movement or increase heat stress, and the process of donning and doffing must minimize contamination risks. Current standards primarily assess material properties but fail to address practical, real-world conditions and interactions with other PPE components. This review emphasizes that these knowledge gaps can only be closed through systematic performance evaluations that replicate actual firefighting scenarios and include both human trials and simu-lations. Future research should focus on refining hood designs and materials to enhance particulate filtration efficiency, improve ergonomic fit, and reduce complications associated with use. This will ensure that firefighter hoods offer comprehensive protection while maintaining high comfort levels in demanding environments.

This paper reports results of analysis of field ion emission mechanism from tungsten-epoxy composite emitters that are compared to tungsten nano-field emitters. In this context, the mechanism of emission from this type of emitters is described based on a theory of induced conductive channels. The tungsten emitters were prepared using the electrochemical polishing technique and coated with a layer of the epoxy resin. Field ion microscope (FIM) analyses are reported including the study of the emission-ion density distributions from both the uncoated and coated emitters. Two forms of emission patterns have been observed in the ion emission microscopy technique describing the differences in the emission mechanism of both types of emitters. The observed results show: (a) the expected crystalline surface atomic distribution images of the field ion microscopy in the case of uncoated tungsten tips, and (b) randomly distributed emission spots that describe the locations of the induced conductive channels inside the resin coating layer.

The increasing use of whole-body computed tomography (WBCT) examinations, also known as panCT, in emergency departments for trauma patients has raised concerns about potential over-use and the associated risk of unnecessary radiation exposure. The purpose of this study was to examine the utilization patterns and findings of panCT scans performed over one year at a major academic hospital. This retrospective cohort study included 599 trauma patients (adults and pe-diatrics) who underwent panCT scans in 2023. De-identified data for each patient, including the radiology report, age, gender, and dose-length product (DLP), were retrieved and reviewed. Ra-diology reports were classified as negative (no acute traumatic injuries) or positive, with posi-tive cases further subclassified based on injury location. Injury severity scores (ISS) were also calculated based on the findings of the radiology reports. Statistical analysis was performed us-ing Python programming language to assess predictors of report findings. Overall, 56% of panCT scans were negative. Logistic regression showed that age significantly impacted the like-lihood of negative findings (p=0.009), while gender did not (p=0.182). One-third of positive cases showed injuries either in head and neck (H&N) or chest-abdomen-pelvis (CAP) regions. Most cases (70% adults, 65% pediatrics) had an ISS between 1 and 8. Median DLP values were 2264 mGy.cm in pediatrics and 2666 mGy.cm in adults. The study showed a high rate of negative panCT scans, suggesting potential overuse of panCT. These findings highlight the need for more selective CT imaging approaches, evidence-based guidelines, and decision-support tools to promote appropriate utilization of panCT scans, reducing unnecessary radiation exposure while ensuring high-risk patients receive appropriate imaging.

Omega-3 polyunsaturated fatty acids (PUFAs) play a critical yet underappreciated role in muscle health, particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Through a review of current literature, we analyze the effects of these nutrients on muscle protein synthesis, mass, strength, and recovery. Studies demonstrate that omega-3 PUFAs enhance muscle protein synthesis via the mTOR pathway and possess anti-inflammatory properties that may reduce muscle damage and atrophy, particularly in older adults. Their potential to improve muscle function and mitigate exercise-induced damage is also reviewed, highlighting relevance for athletes and active individuals. Further research on optimal dosages and long-term effects of omega-3 supplementation is needed, providing a basis for future studies and practical recommendations for leveraging these nutrients to support muscle health.

Idiopathic pulmonary fibrosis (IPF) is a difficult to treat condition to treat with a high mortality rate. While preclinical models such as Bleomycin (Bleo)-induced fibrosis recapitulate some aspects of IPF, new models that more closely mimic the disease are warranted. We have developed and characterized a novel model in BALB/c mice using a transient overexpression of IL-6 combined with Bleo. This model’s transcriptomic signature was compared to published human IPF datasets. BALB/c females were treated with AdIL-6 in combination with Bleo (AdIL-6+Bleo) or control comparators, and underwent assessments of histopathology (ECM, α-SMA accumulation), collagen content and lung physiology (Elastance, EST). Flow cytometry was used to characterize T cell and Macrophage subsets, and T cell depletion studies (anti-CD4/CD8) were completed to assess T cells role in fibrosis. Bulk RNA sequencing generated gene signatures were compared to that of other rodent fibrosis models and published human datasets of IPF datasets. The AdIL-6+Bleo treatment resulted in robust fibrosis measures (day21), sustained fibrosis until at least day 50, a unique cytokine profile at day 7, and increased activated CD4+Tcells, CD8+Tcells, and CD16+MHChi/Clec7a/iNOS-/Arg1-/CD206- macrophages. T cell depletion markedly decreased fi-brotic responses and this population of macrophages. The Day 21 AdIL-6+Bleo transcriptome shared more genes with each of two human IPF datasets than Bleo alone in C57Bl/6 mice or other rodent models. We conclude that AdIL-6+Bleo in BALB/c mice offers a superior preclinical model for studying IPF mechanisms and potential therapeutic intervention.

Military Internet of Things (MIoT) has emerged as a new research area in military intelligence. The MIoT frequently has to constitute a federation-capable IoT environment when the military needs to interact with other institutions and organizations or carry out joint missions as part of a coalition such as in NATO. One of the main challenges of deploying MIoT in such an environment is to acquire, analyze, and merge huge amounts of data from many different IoT devices and disseminate it in a secure, reliable, and context-dependent manner. In this work, we present a comprehensive solution for secure data dissemination based on the integration of Hyperledger Fabric's distributed registry technology, Apache Kafka message broker, and data processing microservices implemented using the Kafka Streams API library and applying attribute-based encryption (ABE), a cryptographic approach that facilitates controlling access to information based on data and user attributes rather than traditional methods that rely on specific keys. In the work, we built an experimental setup, implemented an access control scheme designed for mobile components, and performed an evaluation of its performance. Performance tests have confirmed the suitability of the developed cryptographic method for attribute-based data access control in MIoT systems, considering the federations of military networks. The results indicate that the proposed cryptographic scheme is viable for the number of attributes typically assumed to be used in battlefield networks, offering a good trade-off between security and performance for modern cryptographic applications.

The dynamic beam equations provide an analytical model and a generic solution for continuous systems. The constants for amplitudes and frequencies are given by the boundary conditions, which are here considered looped, in order to represent a closed element, by topological closure. This type of model is applied to the representation of a semicircular canal. This approach addresses the deformability of this anatomical element, both in Lagrangian solid parts (bone, membranes, intermediate materials) and in fluids (Eulerian pressure waves). The model is proposed for both physiological representation and pathology modeling. The latter is represented by a passive or retroactive singularity. An original analytical approach is thus developed for each segment, representing physiological modes – nodes and bellies - and possible disturbances. The damping entropy is also the subject of a special segmented treatment, to take account of fluid-solid interactions, providing a coherent model. The result is a simplified but robust model that both reproduces the vibro-acoustic modes of the semicircular canal and anticipates the effects of a singular pathology, such as a third window or neuritis. Mathematically, this model opens the way to structural analytical models of the inner ear, and to possible dynamic couplings between equilibration and acoustics.

Cryptococcosis is a disease that originates in the lungs and is prevalent among immunosup-pressed individuals. In severe cases, it can lead to meningoencephalitis and even death. Bio-chemical studies have revealed that the capsule of this fungus is primarily composed of glucu-ronoxylomannan (GXM), which constitutes the majority of the capsule, while glucuronoxylo-mannogalactan (GXMGal) is present in smaller amounts. Previous studies have demonstrated that polysaccharide components exhibit different immunomodulatory activities. While GXM primarily exerts an anti-inflammatory effect, GXMGal conversely demonstrates greater pro-inflammatory activity. Myeloid-derived suppressor cells (MDSCs) encompass a heterogeneous population of immature myeloid cells, comprising myeloid progenitor cells and precursors of macrophages, granulocytes, and dendritic cells at various stages. It has been observed that MDSC populations contribute to negatively regulating the immune system in numerous pathol-ogies, such as bacterial and fungal infections, through mechanisms such as the inhibition of T lymphocyte proliferation. Here, we demonstrate that infection with either B3501 or CAP67 strains induced the accumulation of granulocytic precursors of myeloid-derived suppressor cells (MDSCs) in peritoneal and bronchoalveolar cavities. While the MDSCs recruited by the B3501 strain exhibit suppressive action on T lymphocytes, those recruited by the CAP67 strain could not suppress T lymphocyte proliferation. Additionally, we observed the presence of the pro-grammed death ligand PD-L1 in recruited MDSCs, indicating that this may represent a form of immunosuppression in this infection. These findings uncover a mechanism by which capsule polysaccharides from C. neoformans might compromise host immune responses.

Bioimpedance imaging aims to generate a 3D map of the resistivity and permittivity of biologi-cal tissue from multiple impedance channels measured with electrodes applied to the skin. When the electrodes are distributed around the body (for example, by delineating a cross-section of the chest or a limb), bioimpedance imaging is called electrical impedance tomography (EIT) and results in 2D functional images. Conventional EIT systems rely on individually cabling each electrode to master electronics in a star configuration. This approach works well for rack-mounted equipment; however, the bulkiness of the cabling is unsuitable for a wearable system. Previously presented cooperative sensors solve this cabling problem using active (dry) elec-trodes connected via a two-wire parallel bus. The bus can be implemented with two unshielded wires or even two conductive textile layers, thus replacing the cumbersome wiring of the con-ventional star arrangement. Prior research demonstrated cooperative sensors for measuring bi-oimpedances, successfully realizing a measurement reference signal, sensor synchronization, and data transfer though still relying on individual batteries to power the sensors. Subsequent research using cooperative sensors for biopotential measurements proposed a method to re-move batteries from the sensors and have the central unit supply power over the two-wire bus. Building off our previous research, this paper presents this method applied to the measurements of bioimpedances. Two different approaches are discussed, one using discrete, commercially available components, and the other with an application specific integrated circuit (ASIC). Initial experimental results reveal that both approaches are feasible, but the ASIC approach offers ad-vantages for medical safety, as well as lower power consumption and smaller size.

It is widely recognized that rapid urbanization and urban change are defining traits of the contemporary era, bringing both daunting challenges and hopeful opportunities. It is therefore critical that we have a clear and actionable model of the nature of urban space and the dynamics of its functions and dysfunctions to guide policy and practice. Yet the field today includes a range of definitions that are often inconsistent and often conflating very different properties of urban land, often expressed in some version of the conflated characterization, “over half of humanity now lives in cities.” In the last several decades, more articulated theoretical models have been advanced, with notable differences and discrepancies as well as partial commonalities. Here we assess the various models, and we formulate a consolidated and “consilient” theoretical model that may help guide policy and practice through an era of increasingly daunting urban challenges. In particular, the model focuses upon the cellular network structure of public and private spaces, and the dynamics of their evolution under human control – a theoretical model we refer to as Place Network Theory.

Cholesterol homeostasis is pivotal for cellular function. Acyl-coenzyme A:cholesterol acyltransferase 1 (ACAT1), also abbreviated as SOAT1, is an enzyme catalyzing the storage of excess cholesterol to cholesteryl esters. ACAT1 is an emerging target to treat diverse diseases including atherosclerosis, cancer, and neurodegenerative diseases. F12511 is a high affinity ACAT1 inhibitor. Previously, we developed a stealth liposome-based nanoparticle to encapsulate F12511 to enhance its delivery to the brain and showed its efficacy in treating a mouse model for Alzheimer’s disease (AD). In this study, we introduce F26, a close derivative of F12511 metabolite in rats. F26 was encapsulated in the same DSPE-PEG2000/phosphatidylcholine (PC) liposome-based nanoparticle system. We employed various in vitro and in vivo methodologies to assess F26's efficacy and toxicity compared to F12511. Results demonstrate that F26 is more effective and durable than F12511 in inhibiting ACAT1, in both mouse embryonic fibroblasts (MEFs) and in multiple mouse tissues including the brain tissues, without exhibiting any overt systemic or neurotoxic effects. This study demonstrates the superior pharmacokinetic and safety profile of F26 in wild-type mice, and suggests its therapeutic potential against various neurodegenerative diseases including AD.

The optical characteristics and electrical behavior of zinc oxide nanorods (ZnO-NR) and silver nanoparticles (Ag-NP) were investigated using advanced scanning probe microscopy and spectroscopy techniques. The study revealed that the ZnO nanorods have a length of about 350 nm, while the Ag nanoparticles are spherical with heights ranging from 5 to 14 nm. Measurements with Kelvin Probe Force Microscopy (KPFM) showed that the work functions of ZnO nanorods are approximately 4.55 eV, higher than that of bulk ZnO, and the work function of Ag nanoparticles ranges from 4.54 to 4.56 eV. The electrical characterization of ZnO nanorods, silver nanoparticles, and their hybrid was also conducted using conductive atomic force microscopy (C-AFM) to determine the local current-voltage (I-V) characteristics, which revealed a characteristic similar to that of a Schottky diode. The current-voltage characteristic curves of ZnO nanorods and Ag nanoparticles both show an increase in current at around 1V, and the hybrid ZnONRs/AgNP exhibits an increase in turn-on voltage at around 2.5 Volts. This suggests that the presence of Ag nanoparticles enhances the electrical properties of ZnO nanorods, improving charge carrier mobility and conduction mechanisms through a Schottky junction. The investigation also explored the optical properties of ZnO-NR, AgNP, and their hybrid, revealing absorption bands at 3.11 eV and 3.18 eV for ZnO-NR and AgNP, respectively. The hybrid material showed absorption at 3.13 eV, indicating enhanced absorption, and the presence of AgNP affected the optical properties of ZnO-NR, resulting in increased photoluminescence intensity and slightly changes in peak positions.

Background: Depression presents with altered energy regulation and neural plasticity. Previous electroencephalography (EEG) studies showed that practice increases power in beta range (13-30 Hz) in healthy subjects but not in those with impaired plasticity. Here, we ascertain whether depression presents with alterations of spectral activity and connectivity before and after practice. Methods: We used publicly available resting state EEG (64 electrodes) of 122 subjects. Based on Beck Depression Inventory (BDI) score, they were assigned to either high BDI (hBDI, BDI>13, N=46) or control (CTL, BDI<7, N=75) group. We analyzed spectral activity, theta-beta and theta-gamma phase-amplitude coupling (PAC) of EEG recorded before and after a learning task. Results: At baseline, compared to CTL, hBDI group exhibited greater beta power over fronto-parietal regions and gamma over right parieto-occipital area. After practice, increases in all frequency ranges were observed only in CTL. Theta-beta and theta-gamma PAC were greater in hBDI before the task but not after the task. Conclusions: The lack of substantial post-task growth of beta power in depressed subjects likely represents power saturation due to greater baseline values. We speculate that inhibitory/excitatory imbalance, altered plasticity mechanisms, and energy dysregulation present in depression may contribute to this phenomenon.

Systemic inflammation and immunodeficiency are the key components of Cirrhosis Associated Immune Dysfunction (CAID); its severity is dynamic and progressive and is associated with the greater deterioration of the liver function. There are two different immune phenotypes: the low-grade systemic inflammation phenotype and the high-grade systemic inflammation phenotype. Each of these phenotypes is related with the function of liver cirrhosis; thus, the presence of high-grade inflammation is correlated with the severity of the hepatic insufficiency, the bacterial translocation, and the organic insufficiency, with which the risk of infections increases and the prognosis worsens. Bacterial translocation plays a relevant role in the persistent systemic inflammation in patients with cirrhosis; the prophylactic employment of antibiotics is useful for reducing events of infection and mortality.

This study assesses the impact of nurse-originated changes in central venous catheter (CVC) management on the incidence of central line-associated bloodstream infections (CLABSI) and catheter-related bloodstream infections (CRBSI). It is a single-center retrospective cohort study conducted at an urban, tertiary referral, and academic center serving pediatric patients. The study cohort comprised 236 patients and 323 CVCs seen between 2012 and 2022. CLABSI and CRBSI were defined according to the Centers for Disease Control and Prevention definitions. Oncology nurse leaders developed CVC-specific educational modules for CLABSI prevention. All relevant information during the CVC maintenance period was noted in the patient's CVC logbook. 24 (7%) cases of confirmed CLABSI were identified. The incidence of CVC-related infections was 0.32 cases per 1000 catheter days. The incidence decreased by 40% between the first and second three-year study period. Documented exit-site infection was reported in 32 (10%) cases. The correlation between exit-site infection and CLABSI was found in 9 (28%) cases. Our CVC-related infection rates are significantly lower than the incidence reported by the Italian Association of Pediatric Hematology and Oncology, which settles at 3-5 cases per 1000 catheter days. Our data confirm the effectiveness of local CVC management guidelines in preventing CVC-related infectious complications.

The growing global threat of multidrug-resistant (MDR) bacteria has been exacerbated by inadequate antibiotic consumption and the difficulty in developing new therapeutic strategies. Selective Digestive Decontamination (SDD) is presented as an encouraging measure to prevent the appearance and colonization of MDR bacteria. We compared the pattern of antibiotic consumption in the Intensive Care Unit (ICU) of our hospital before and after the implementation of the SDD protocol. This quasi-experimental study was conducted in an ICU from June-2021 to June-2023. The incidence of nosocomial infections, colonizations, and the number of isolated MDR bacteria, as well as the defined-daily-dose (DDD), were monitored. A total of 3266 patients were included, with 1532 in the pre-intervention group and 1734 in the post-intervention group. The median age was 62 years, 66% were male, and the average APACHE II and SOFA scores were 15 and 6.5, respectively. There was a significant reduction in overall antibiotic consumption in the post-SDD group (p= 0.028), highlighting a decrease in Carbapenemase-Producing Enterobacteriaceae (CPE) (p= 0.0099). There was also a reduction in colonization incidence density and nosocomial infections. Implementing the SDD protocol significantly reduced antibiotic consumption in the ICU, suggesting important implications for infection control and antimicrobial resistance management.

Vermicomposting is one of the most important waste management techniques in the process of vermiculture. In this study, a Neural Network-assisted novel paradigm is proposed to predict waste from vermicomposting. The proposed Neural Network Skeleton is based on a Gallium Arsenide Processing Schema, which is used to separate wastes. By comparing the proposed sys-tem with existing methods, it was found that the proposed approach had the highest average prediction ratio of 91.32%, outperforming other techniques like ERD, RNN, and Deep LSTM. The separation ratio analysis also demonstrated the effectiveness of the proposed method, with a range of 45-94%. Furthermore, the study emphasizes the importance of chemical equilibrium and the effectiveness of our proposed Gallium Arsenide Processing Schema in achieving high prediction and separation accuracies, showcasing its potential for practical application in waste management processes. Lastly, the prediction of the process evolution stages is detailed, indicating the efficiency of the proposed system in achieving various levels of waste separation. Overall, the study provides valuable insights into the potential of the proposed methods in op-timizing wastewater management processes, paving the way for more effective and sustainable vermicomposting practices.

The Ylistrum japonicum is a commercially valuable scallop known for its long-distance swimming abilities. Despite its economic importance, genetic and genomic research on this species is limited. This study presents the first complete mitochondrial genome of Y. japonicum. The mitochondrial genome is 19,475 bp long and encompasses 13 protein-coding genes, 3 ribosomal RNA genes, and 23 transfer RNA genes. By selecting 15 Pectinidae species and additional outgroup taxa, we have constructed phylogenetic trees to elucidate the evolutionary placement of Ylistrum within the family Pectinidae. Our analysis reveals that Ylistrum is a basal lineage to the Pectininae clade, distinct from its previously assigned tribe, Amusiini. This study offers critical insights into the genetic makeup and evolutionary history of Y. japonicum, enhancing our knowledge of this economically vital species.

The reaction mechanisms of C-S borylation of aryl sulfides catalyzed by the 1,4-benzoquinone (BQ), were investigated by employing M06-2X-D3/ma-def2SVP method and basis set. In this study, the SMD model was taken to simulate the solvent effect of 1,4-dioxane. Also, TD-DFT calculations of BQ and methyl(p-tolyl)sulfane were performed in SMD solvent model. The computational results indicated that BQ and methyl(p-tolyl)sulfane, serving as a photo-catalyst, would be excited under blue LED of 450 nm, aligning well with experimental observations. Additionally, the role of 3O2 was investigated, revealing that it could be activated to 1O2 from the released energy of 1[BQ+methyl(p-tolyl)sulfane]* or 3[BQ+ methyl(p-tolyl)sulfane]*→BQ+ methyl(p-tolyl)sulfane process. Then 1O2, bis(pinacolato)diboron, and methyl(p-tolyl)sulfane would through a series of reactions to yield the final product P. The Gibbs free energy surface show that path a2-2 is optimal and this path has less steps and lower energy barrier. The electron spin density isosurface graphs were employed to analyze structures and elucidate the single electron distribution. These computational results offer valuable insights into the studied interactions and related processes and shed light on the mechanisms governing C–S borylation from aryl sulfides and b2pin2 catalyzed by BQ and methyl(p-tolyl)sulfane.

Glaucoma is one of the primary causes of blindness worldwide. Canal opening surgery, a type of minimally invasive glaucoma surgery (MIGS) applied in cases of mild to moderate glaucoma, has gained increasing popularity in recent years due to its efficacy in reducing intraocular pressure, its safety profile, the simplicity of its technique, and the reduced likelihood of compromised vision. Nevertheless, the existing body of histopathological studies remains insufficient for a comprehensive understanding of post-surgical wound healing. Consequently, debates persist among researchers regarding the mechanism through which Schlemm’s canal opening surgery reduces intraocular pressure, as well as the surgical techniques that may impact the outcomes and the factors influencing surgical success. As the history of MIGS is relatively short and lacks sufficient systemic reviews or meta-analysis evaluating the influence of individual factors, this review was conducted to illuminate disparities in the researchers’ opinions at the current stage of research.

Nanotechnology has applications in a variety of scientific specialties, encompassing health, technological devices, and now cosmetics under the generic term of nanocosmetics. Due to the improved particle qualities, such as color, transparency, and solubility, acquired at the nanoscale, nanotechnology significantly affects the cosmetic industry. Skin penetration mechanism depends heavily on the nanoparticles' physicochemical properties, including stiffness, hydrophobicity, size, and charge. An expanding industry that requires more research and development has been created by nanoparticle production technologies. Liposomes, solid lipid nanoparticles, cubosomes, dendrimers, and other nanomaterials offer advanced skincare properties. Cosmetics made using nanotechnology have the advantages of product diversity, increased bioavailability of active compounds, and enhanced pleasing appearance of cosmetics with long-lasting benefits. The various cosmetic brands' utilization of various types of nanomaterials in their products is highlighted in this review.

Cutting and packing problems have been studied for decades and are of concern for a wide variety of industries to reduce costs and material utilization. This paper addresses the one-dimensional cutting stock problem, focusing on minimizing total stock usage. Procedures that address this problem include linear programming methods and metaheuristics. However, linear programming methods are limited to low-complexity instances, while most metaheuristics require extensive parameter tuning. In this paper, we develop a Petri-net model to construct cutting patterns. Using the reachability tree of the Petri net, the filtered beam search algorithm is implemented to find the best solution. Our algorithm is compared with the Least Lost Algorithm and the Generate & Solve algorithm over five datasets of instances. These algorithms share some characteristics with ours and have proven to be effective and efficient. Experimental results demonstrate that our algorithm effectively finds optimal solutions for both low and high-complexity instances. These findings confirm that Petri nets are suitable for modeling and solving the one-dimensional cutting stock problem.

Pharmacist-prescribed hormonal contraception (HC) is supported by a majority of pharmacists and pharmacy students; however, few studies have evaluated perceptions of non-community pharmacists, or differences in geographic areas. The primary objective of this study is assess differences between community and non-community pharmacists in perceptions of pharmacist HC prescribing. Secondary objectives include assessment of community pharmacist interest in prescribing HC, and differences in perceptions between pharmacists in metropolitan and nonmetropolitan areas. A survey was emailed in early 2022 to 2592 Georgia pharmacists, with Likert questions assessing interest, perceptions, comfort, and perceived barriers regarding pharmacist prescribed HC. Completed survey response rate was 11.8%. Regardless of practice site, a majority agreed pharmacists are well-trained to prescribe HC (Community 61.8% vs. Non-community 68.1%, p=0.25) and provision of HC services is within the pharmacist’s scope (Community 73.6% vs. Non-community 74.2%, p=0.90). Overall metropolitan and non-metropolitan community pharmacists' perceptions were similar, however more metropolitan pharmacists believed pharmacists are well trained to prescribe HC (66.7% vs 48.7%, p=0.049) and that it is within their scope of practice (78.1% vs. 61.5%, p=0.045). In summary, the majority of pharmacists, regardless of practice type, believe that pharmacists are prepared to prescribe HC and it is a part of pharmacist’s professional scope of practice.

Road congestion in Amman city increased yearly, due to the increase in private car ownership and traffic volumes. This study aims to (a) assess the social and economic impacts of the toll road in Amman, Jordan through a survey questionnaire using statistical software (SPSS), (b) identify the optimal price at selected road using micro-simulation (VISUM). Traffic, geometric and cost data of toll technique of two sections on the Airport Highway (From Ministry of Foreign Affairs to Madaba Interchange.; and From Madaba Interchange to Queen Alia International Airport (QAIA) interchange) were used for simulation purpose. The toll road (across 7 distinct scenarios at various price) were assessed for an optimal revenue. The survey questionnaire was made based on all scenarios including AM peak hour. The operation cost for toll road was determined based on greater Amman Municipality (GAM). The optimal scenario was measured based on the value ¬¬of revenue (JD), and type of payment. The results indicate that users found the most charging method to be based on traveled distance (54.02%) and the optimal value of the toll to be equal 0.25 JD (34.08%). In Addition, the total cost of Manual Toll Collection method (MTC) in 2025 is 126,935JD and the revenue is 1122.6 JD so this indicates to positive result. Eventually, the result of applying road pricing on the airport road in 2025 indicate to be effective and economically feasible only by using Manual Method.

This study investigates the intricate relationships between happiness, sustainability, and cultural values across 74 countries. Utilizing a multidimensional scaling (MDS) and K-means clustering approach, we analyze six happiness indices alongside the Sustainable Development Goals Index (SDGI). Our findings indicate a positive correlation between economic development, social progress, and elevated levels of both happiness and sustainability. Nevertheless, instances like the United States highlight the necessity of alternative methodologies, highlining classification of nonlinear models. The MDS analysis identifies four distinct clusters of countries, each demonstrating similar profiles in terms of happiness, sustainability, and cultural values, as per Inglehart's framework. This clustering underscores the necessity for a comprehensive perspective that integrates economic, social, and cultural dimensions to produce robust results and mitigate disparities or contradictions in subjective measures like the World Happiness Score. Future research should explore the impact of institutional frameworks, governance models, and social capital. Additionally, longitudinal studies are needed to examine how these relationships evolve in response to global challenges. We acknowledge the limitations related to data heterogeneity, the subjectivity of cluster analysis, and the exclusion of outliers, emphasizing the need for further research to enhance the generalizability and robustness of these findings.

Cytokinesis, the process by which the cytoplasm divides to generate two daughter cells after mitosis, is a crucial stage of the cell cycle. Successful cytokinesis must be coordinated with chromosome segregation and requires the fine orchestration of several processes, such as constriction of the actomyosin ring, membrane reorganisation, and, in fungi, cell wall deposition. In Saccharomyces cerevisiae, commonly known as budding yeast, septins play a pivotal role in the control of cytokinesis by assisting the assembly of the cytokinetic machinery at the division site and controlling its activity. Yeast septins form a collar at the division site that undergoes major dynamic transitions during the cell cycle. This review will discuss the functions of septins in yeast cytokinesis, their regulation and the implications of their dynamic remodelling for cell division.

Objective: Subclinical left ventricular disfunction (LVD) is common in asymptomatic patients with type 2 diabetes (T2D). Many patients with diabetes have an impaired diastolic and systolic function. With preserved ejection fraction LV (EFLV), the latter is defined as reduced global longitudinal strain (GLS), detected using the speckle-tracking echocardiography. This study is aimed to define the long-term structural and functional disorders of the LV myocardium in patients with T2D without CVD. Methods: Of the 120 patients with and without T2D of both sexes aged from 45 to 75 years (57.11±7.9 years), included in the study in 2012-2013, only 57 responded to the follow-up study. The patients were divided into two groups: one with T2D (n=29), the other without it, control (n=28). All patients underwent transthoracic two-dimensional echocardiography with assessment of standard indicators of systolic and diastolic cardiac function, as well as GLS. In addition, all participants underwent laboratory diagnostics of carbohydrate metabolism disorders markers, NT-proBNP and CRP. The median follow-up duration was 7.2 [7.0-7.8] years. Results: During the follow-up, a statistically significant increase in the incidence of diastolic dysfunction (DD) in the type 2 diabetes group was found from 53% to 61% (p = 0.004); no significant dynamics were noted in the control group (p = 0.48). The presence of T2D significantly increases the risk of developing DD (p=0.04). The presence of T2D, increased fasting glucose levels, and an increased HOMA index were independent predictors of the development of DD. Impairment of LVEF was not observed in both groups. At the same time, the proportion of patients with reduced GLS (< -18%) increased in the T2D group (p = 0.036). A significant difference in the frequency of decreased GLS depending on T2D was demonstrated. The presence of obesity, an increase in the HOMA index and an increase in CRP levels are independent predictors of impaired GLS. Conclusions: T2D is an independent risk factor for the worsening of subclinical left ventricular dysfunction in asymptomatic patients with T2D without CVD over 7-year follow-up. Diastolic dysfunction is represented by delayed relaxation of the LV myocardium; with preserved LVEF, reduced 2D GLS identifies systolic dysfunction. The tight control of glycemia, lipidemia, blood pressure and body weight is associated with the absence of poor clinical outcomes.

The joint extraction of entities and relations is a critical task in information extraction, and its performance directly affects the performance of downstream tasks. However, existing joint extraction models based on deep learning exhibit weak processing capabilities for the phenomenon of multiple pronunciations of one character and multiple characters of one pronunciation when processing Chinese texts, resulting in performance loss. To address these issues, this paper introduces part-of-speech (POS) and pinyin features to aid the model in learning semantic features that are more contextually appropriate. A Chinese Joint Entity and Relation Extraction Model based on Progressive Contrastive Learning and Heterogeneous Feature Fusion is proposed (CJE-PCHF). During model training, an interactive fusion network based on progressive contrastive learning is employed to learn the dependencies between pinyin, POS, and semantic features. This guides the model in heterogeneous feature fusion, capturing higher-order semantic associations between heterogeneous features. On the commonly used DuIE evaluation dataset for joint extraction, this model achieved a significant improvement, with the F1 score increasing by 5.4% compared to the benchmark model CasRel.

Background/Objectives Immune effector cell-associated hematotoxicity (ICAHT) is a frequent adverse event after chimeric antigen receptor (CAR)-T cell therapy. Grade ≥3 thrombocytopenia occurs in around one third of patients, many of whom become platelet transfusion-dependent. Without pharmacological support, platelet recovery may last for months. Eltrombopag is a thrombopoietin receptor agonist (TPO-RA) able to accelerate megakaryopoiesis, which has been used successfully in patients with bone marrow failure and immune thrombocytopenia (ITP.) Its role to manage thrombocytopenia, and other cytopenias, in CAR-T cell-treated patients has been scarcely addressed in the real-world setting. Our aim was to report the Feasibility of this approach and the outcome of patients included in the GETH-TC registry. Methods This is a retrospective, multicenter, observational study. Patients who developed platelet transfusion-dependence subsequently to CAR-T cell treatment were recruited in 10 Spanish hospitals and followed-up for at least 30 days after the first dose of eltrombopag was administered. Results Thirty-eight patients were enroled and followed-up for a median (interquartile range [IQR]) of 175 (99, 489) days since CAR-T cell infusion. At eltrombopag start, 18 patients had thrombocytopenia and another severe cytopenia, while 8 patients had severe pancytopenia. After 32 (14, 38) days on eltrombopag, 29 (76.3%) patients recovered platelet transfusion independence. The number of platelet units used correlated with the time needed to restore platelet counts to levels ³20x10⁹/L (Rho = 0.639, p <0.001). Non-responders to eltrombopag required more platelet units (58 [29, 69] vs. 12 [6, 26] in responders, p = 0.002). Nineteen out of 23 (82.6%) patients recovered from severe neutropenia after 22 (11, 31) days on eltrombopag. Twenty-nine out of 35 (82.9%) patients recovered red blood cell (RBC) transfusion independence after 29 (17, 44) days. Seven patients recovered all cell lineages while on treatment. No thromboembolic events were reported. Only 2 transient toxicities (cholestasis, hyperbilirubinemia) were reported during eltrombopag treatment, none of which compelled permanent drug withdrawal. Conclusions Eltrombopag can be safely used to manage thrombocytopenia and accelerate transfusion independence in CAR-T cell-treated patients.

The cause of the systematic daily march of barometric pressure in the tropics, notably the late morning and late evening peaks seen almost every day at all locations, was a puzzle that persisted through the nineteenth and much of the twentieth centuries. The efforts to explain the physics of the prominent 12-hour solar tidal variation helped inspire some of the earliest developments in theoretical atmospheric dynamics and ultimately led in the 1960’s to a satisfactory dynamical theory for the atmospheric tides. These important theoretical developments followed the observational discoveries, which date to the late 18th and early 19th centuries, of the surprising character of the barometric daily march and of its resolution into solar and lunar period cycles. These important, if simple, discoveries emerged primarily from the efforts of European scientists to systematically study the environment in remote areas of the globe. The two key figures in initially advancing the scientific community’s understanding of the character of barometric tides were the great German polymath Alexander von Humboldt (1769-1859) and the French naturalist Robert de Lamanon (1752-1787), who each made their discoveries on their most famous and colorful scientific expeditions of their respective careers. This paper examines the history of the early observations of the barometric tide.

The capacitated lot-sizing problem with product recovery (CLSP-RM) holds significant importance in reverse logistics but is notoriously complex (NP-hard). In this study, two techniques are introduced to confront this challenge. The first technique entails devising a linear optimization task that eliminates capacity limitations across a wide problem spectrum, yielding a remarkably accurate approximation of the optimal solution. This adaptable approach presents a potent alternative and holds potential for extension to diverse problem categories owing to its versatile nature. The second technique employs a simulation methodology utilizing Halton’s uniform random numbers to address the issue. This randomized production search method sidesteps considerations of production costs, inventory expenditures, and production order when determining production batches. The research’s novelty lies in its application of these techniques to the problem. The suggested methods undergo evaluation via a benchmark dataset of approximately 4200 instances, with comparison against solutions derived through the Gurobi solver. The results underscore the efficacy and resilience of the introduced methodology in tackling the CLSP-RM predicament.

A topological representation theory of chiral spin liquid is proposed to unify the integral and fractional quantum Hall fluid based on hyperbolic geometry, knot lattice and Thurston's train track theory. The integral and fractional Hall resistivity obeys an exact unified equation, $R_{xy} = (h/e^2)B_{e}$, $B_{e} = (n+\nu)^{-1}$, with respect to the bulk energy gap ${\Delta}E = {\hbar{e}B_{e}}/{Mc}$. The Wen-Zee matrix formulation of topological fluid for quantum Hall effect is constructed by topological surgery and train track. The chirality of spin liquid is spontaneously distinguished by Jones polynomial. The integral Chern number for Hall conductance is fractionalized by generalizing Thurston's train track to folding laminations in three dimensions, which spontaneously bring fractional quantum Hall fluid and anyons into three dimensions and provided an theoretical explanation on the competing fractional quantum Hall states. The many body system of interacting fermions or bosons are mapped into many interacting liquid droplets that interwind into knot lattice, which provide an effective topological representation for superfluid and superconductor, the strange metal state in superconductor is explained by topological dislocation and topological surgery. The Kauffman decomposition rule in knot theory is extended to describe the topological relations between different two dimensional manifolds, which further reveals the non-trivial relationship between the partition functions of pairing fermions and free electrons. The minimal energy state is the most stable topological state, even thought it maybe shares the same topological number with the excited states. The topological representation theory predicts a circular motion of electrons in hyperbolic space, that is implementable and testable by inhomogeneous magnetic field in three dimensions. The folding lamination representation of topological quantum fluid provides an promising implementation of string theory in high energy physics.

Background/Objectives: Women with subclinical hypothyroidism (SCH) were reported to be at an increased perinatal risk. We aimed to investigate the relationship between SCH and perinatal outcomes in singleton pregnancies resulting from assisted reproduction technology (ART). Methods: We retrospectively examined the perinatal outcomes of ART singleton pregnancies in women who underwent thyroid function screening before conception and delivered at our hospital from January 2020 to July 2023. We defined SCH as thyroid-stimulating hormone (TSH) levels <2.5 mU/L and normal free T₄ levels. The patients were divided into three groups: normal thyroid function (group A), SCH without levothyroxine therapy (group B), and SCH with levothyroxine therapy (group C). The risks of preterm birth, preeclampsia, fetal growth restriction, manual placental removal, and blood loss at delivery were compared among the three groups. Results: Out of the 650 ART singleton deliveries, 581 were placed in group A, 34 in group B, and 35 in group C. The preterm birth rate at <34 weeks was significantly higher in group B and significantly lower in group C than in group A. The rate of preterm delivery at <34 weeks increased in correlation with TSH levels. Levothyroxine therapy was the significant preventive factor for preterm birth at <34 weeks. Conclusions: The preterm birth rate before 34 weeks was significantly higher in the SCH group. Levothyroxine therapy is a significant protective factor against preterm birth before 34 weeks. Universal screening for thyroid function and appropriate hormone therapy in pregnant women may help reduce perinatal risks, including preterm birth.

This research explores the profound impact of digital transformation on marketing strategies within the retail sector. As the retail landscape evolves, digital technologies have become central to understanding and engaging with consumers. The study examines how data-driven decision-making, enabled by advanced analytics, has replaced traditional intuition-based methods, leading to more targeted and efficient marketing strategies. Personalization has emerged as a key trend, with retailers leveraging customer data to offer tailored experiences, fostering greater customer satisfaction and loyalty. The adoption of omnichannel marketing strategies is highlighted as crucial for providing a seamless and consistent customer experience across various touchpoints, integrating both online and offline channels. The role of social media as a powerful platform for brand engagement and community building is discussed, emphasizing its importance in modern marketing. Mobile technologies are identified as transformative, offering convenience and enhancing the shopping experience through mobile apps and payment solutions. The research also explores the emergence of new business models, such as subscription services and direct-to-consumer approaches, which have been enabled by digital technologies. Challenges associated with digital transformation, including the need for continuous technological investment, skill development, and data privacy concerns, are also addressed. The study concludes by highlighting the acceleration of digital adoption due to the COVID-19 pandemic and the potential of emerging technologies like artificial intelligence, virtual reality, and blockchain to shape the future of retail marketing. The findings underscore the necessity for retailers to embrace digital transformation to remain competitive and responsive to changing consumer behaviors.

Neonatal hypoxic ischemic encephalopathy (HIE) occurs in 1.5 per 1000 live births, leaving affected children with long-term motor and cognitive deficits. Few animal models of HIE incorporate maternal immune activation (MIA) despite the significant risk MIA poses to HIE incidence and diagnosis. Our non-invasive model of HIE pairs late gestation MIA with postnatal hypoxia. HIE pups exhibited a trend toward smaller overall brain size and delays in the ontogeny of several developmental milestones. In adulthood, HIE animals had reduced strength and gait deficits, but no difference in speed. Surprisingly, HIE animals performed better on the rotarod, an assessment of motor coordination. There was significant upregulation of inflammatory genes in microglia 24 hours after hypoxia. Single cell RNAseq revealed two microglia subclusters of interest following HIE. Pseudobulk analysis revealed increased microglia motility gene expression and upregulation of epigenetic machinery and neurodevelopmental genes in macrophages following HIE. No sex differences were found in any measures. These results support a two-hit noninvasive model pairing MIA and hypoxia as a model for HIE in humans. This model results in a milder phenotype compared to established HIE models; however, HIE is a clinically heterogeneous injury resulting in a variety of outcomes in humans. The pathways identified in our model of HIE may reveal novel targets for therapy for neonates with HIE.

Aim: In our study, the chemotherapeutic drug doxorubicin (Dox) and the natural anticancer property thymoquinone (TQ) were applied to OVCAR3 human ovarian adenocarcinoma cells and human skin keratinocyte cell line HaCat cells, and their cytotoxic effects were investigated through the EGFR/FOXP3 signaling pathway. Materials and Methods: In our study, different doses of thymoquinone and doxorubicin were applied to the cells for 24, 48 and 72 hours and the cytotoxicity level was determined by the MTT method. With Western blot and qRT-PCR analysis, metastasis markers Epidermal growth factor receptor (EGFR) and forkhead box p3 (FOXP3) and apoptosis marker apoptosis inbibitory 5 (API5) genes and their expression levels were examined. Colony counting was performed after DAPI staining and its effect on cell proliferation was determined. An in vitro wound model for metastasis was created and cell migration was evaluated morphologically. All results were analyzed statistically. Results: By the cell viavility test, it was found that cytotoxicity was at the highest level in the TQ and Dox applied group, metastasis was prevented especially in the TQ and Dox combined treatment group, and by qRT-PCR analysis, the activity in the EGFR and FOXP3 pathway decreased the most with TQ and the amount of protein decreased with TQ and Dox. Conclusion: As a result of the study, it was seen that the highest cytotoxic effect and the highest apoptosis induction occurred with TQ treatment. Additionally, it was determined that a significant decrease in EGFR and FOXP3 levels occurred in TQ and Dox applications.

The success of deep learning (DL) in offline brain-computer interfaces (BCIs) has not yet translated into efficient online applications. This is due to two limiting factors: the need for large amounts of training data in DL and the fact that current DL solutions are primarily developed for offline decoding. To enable real-time decoding, even across subjects without calibration data, we first introduce a novel method real-time adaptive pooling (RAP) to tune existing offline DL models towards online decoding by modifying the pooling layers. To reduce the amount of training data required, our approach leverages different levels of domain adaptation. We show how different settings enable different adaptation solutions. Our results demonstrate that our approach is both powerful and can be calibration-free, providing a robust and practical solution for real-time BCI applications. These findings pave the way for the development of co-adaptive and highly efficient DL-based BCI systems.

In this paper, we introduce a comprehensive solution aimed at enhancing the understanding of three-dimensional atmospheric pollutant dispersion. This innovative solution develops a generalized model that extends previous research and is applicable to all parameterization schemes of the equation, including wind speed profiles and turbulent diffusion coefficients, while incorporating the dry deposition criterion. Our methodology involves subdividing the atmospheric boundary layer into distinct sublayers, which facilitates a detailed examination of pollutant dispersion dynamics. Extensive validation with data from the Hanford experiment has demonstrated the accuracy of this solution in simulating pollutant concentrations. The results exhibit a strong correlation between projected and observed concentrations, underscoring the statistical reliability of our approach. This validation situates the statistical indices of our solution within an acceptable range, confirming its accuracy in predicting atmospheric pollutant dispersion. These findings thus establish our solution as a valid and effective method for studying complex environmental phenomena.

(1) Background: The rapid evolution of the internet and technological infrastructure has led to a surge in data generation across various contexts, increasing the use of machine learning tools to extract valuable information. Clustering, particularly using the K-means algorithm, is a common technique. However, determining the optimal number of clusters in K-means is challenging, as traditional methods like the elbow method can be imprecise and subjective. This study proposes a more accurate and objective method to identify the optimal number of clusters. (2) Methods: The proposed method utilizes the numerical derivative of cluster inertias and the maximum value of the ratio between contiguous derivatives. Implemented in Python using sklearn, numpy, and matplotlib, the method was validated with synthetic datasets generated by artificial intelligence, where cluster numbers are clearly distinguishable. (3) Results: The method proved to be more precise and less subjective than the traditional elbow method, accurately identifying the optimal number of clusters in all tested synthetic datasets. Additionally, it demonstrated computational efficiency with minimal RAM usage and execution time, making it suitable for practical data analysis applications. (4) Conclusions: This new mathematical and computational method significantly improves the determination of the optimal number of clusters in K-means, offering a more accurate and objective alternative to traditional techniques. Future work will extend this method to hierarchical clustering and develop a cloud service for wider accessibility.

Background: The term “Long COVID” is commonly used to describe persisting symptoms after acute COVID‑19. Until now, proposed mechanisms for the explanation of Long COVID have not related quantitative measurements to basic laws. In this work, a common framework for the Long COVID pathophysiological mechanism is presented, based on the blood supply deprivation and the flow diffusion equation. Methods: Case-control studies with statistically significant differences between cases (post-COVID patients) and controls, from multiple tissues and geographical areas, were gathered and tabulated. Microvascular loss (ML) was quantified by vessel density reduction (VDR), foveal avascular zone enlargement (FAZE), capillary density reduction (CDR), and percentage of perfused vessels reduction (PPVR). Both ML and hemodynamic decrease (HD), were incorporated in the tissue blood supply reduction (SR) estimation. Results: ML data were found from 763 post-COVID patients with an average VDR, FAZE, CDR, and PPVR of 16%, 31%, 14%, and 21%, respectively. The average HD from 72 post-COVID patients was 37%. The estimated SR for multiple tissues with data from 634 post-COVID patients reached a sizeable 47%. This large SR creates conditions of lower mass diffusion rates, hypoxia, and undernutrition, which at a multi-tissue level, for a long time, can explain the wide variety of the Long COVID symptoms. Conclusions: Disruption of peripheral tissue blood supply by the contribution of both ML and HD is proposed here to be the principal cause of the mechanism leading to Long COVID symptoms.

Background: Among the cognitive markers of Alzheimer’s disease (AD), semantic and phonemic verbal fluency tasks seem to be an early indicator of deterioration. The aims of this study are 1) to evaluate both types of Verbal Fluency in the early stages of AD in order to know which of them deteriorates earlier and, 2) to investigate if Verbal Fluency Tasks can help to differentiate between patients with Mild Cognitive Impairment (MCI) who will progress to AD two years later (progresses) and those who do not (non-progresses). Method: A Verbal Fluency Task was administered to 25 patients with MCI and their respective control subjects. All patients underwent a neuropsychological evaluation twice in order to follow up their global cognitive status. The second time, 8 of them converted to AD. Results: On the one hand, Phonemic Verbal Fluency deteriorates earlier than Semantic Verbal Fluency in MCI patients; on the second hand, although we found statistically significant differences between patients with MCI and AD in both type of fluency tasks, they were not found when comparing the performance of progresses and non-progresses. Conclusion: These results point to a greater impairment in Phonemic Verbal Fluency in MCI patients and its potential predictive capacity to predict conversion to AD.

This paper presents machine learning methods for approximate solutions of reaction-diffusion equations with multivalued interaction functions. This approach addresses the challenge of finding all possible solutions for such equations, which often lack uniqueness. The proposed method utilizes physics-informed neural networks (PINNs) to approximate generalized solutions.

The proliferation of fake news on social media platforms poses significant challenges to information authenticity and public trust. In this study, the impact of various word embedding techniques on the performance of both machine learning and deep learning models for fake news detection is systematically evaluated. The comprehensive TruthSeeker dataset, which spans over a decade of labeled news articles and social media posts, is utilized. Three popular word embedding techniques are analyzed: TF-IDF, Word2Vec, and FastText. These embeddings were tested with multiple machine learning classifiers, including logistic regression, naive Bayes, K-nearest neighbors, support vector machines, multilayer perceptrons, decision trees, and random forests, as well as deep learning models, specifically convolutional neural networks (CNNs). Among machine learning models, the Support Vector Machine (SVM) with TF-IDF achieved the highest accuracy of 99.03%, precision of 98.92%, recall of 99.15%, and F1 score of 99.03%. The Multilayer Perceptron (MLP) also demonstrated strong performance with Word2Vec, reaching an accuracy of 95.24%, precision of 94.95%, recall of 95.50%, and F1 score of 95.07%. For deep learning models, CNNs combined with TF-IDF embeddings showed outstanding results, achieving an accuracy of 98.99%, precision of 98.56%, recall of 99.48%, and F1 score of 99.02%. These results highlight the critical role of word embeddings in enhancing model accuracy and reliability in misinformation detection.

It is still unclear why the pineal gland is not able to start its own pulsatile synthesis and secretion of melatonin in the first months of a human's life, so that infants during this time are dependent on the external supply of melatonin via breast milk, unpooled donor milk from breast milk collection centres or industrially produced chrononutrition with melatonin-poor day milk and melatonin-rich night milk. According to current knowledge, the pineal gland and melatonin receptors are already present at birth, the suprachiasmatic nucleus is largely functional and noradrenaline, the key pineal transmitter, can be detected in the early foetal period. However, the development and differentiation of the pineal gland, the pinealocytes as the site of melatonin synthesis and the associated Lhx4 homebox only occurs during the first year of a person's life. The resulting "physiological" melatonin deficiency is associated with sleep disorders, infant colic and increased crying in babies. Intervention studies indicate that this deficiency should be compensated for – through breastfeeding, the administration of unpooled donor milk or through industrially produced chrononutrition made from unpooled cow's milk with melatonin-poor day milk and melatonin-rich night milk [1-3], see also Video [4].

This study explores the incidence of using electronic devices on academic procrastination in university students. The procrastination profile, screen use habits, and perceived academic performance are analyzed, assessing the impact of screen use on the psychological dimensions of procrastination. An ad-hoc instrument and descriptive and correlational techniques were used for data analysis. The results reveal that procrastination is common among students, and they perceive their academic performance as good or very good with a similar result in their grade point average, indicating that procrastination does not seem to affect their performance significantly. About 50% report frequent use of screens, and although no widespread addictive behaviors are detected, 20% may be at risk of addiction. The dimensions of self-regulation, self-efficacy, and self-esteem show an inverse correlation with screen use, suggesting that less screen use improves these dimensions and reduces procrastination. In addition, high screen use is associated with higher levels of anxiety. Self-efficacy emerges as crucial to mitigating procrastination. In conclusion, although procrastination is prevalent, it does not appear to affect academic performance significantly, but excessive use of electronic devices negatively impacts key psychological dimensions and increases anxiety.

This study explores innovation and sustainability within the Construction, Environment, and Territory (CAT) curriculum in Italian Upper Secondary Schools. It begins with an overview of Education for Sustainable Development (ESD) and its integration at various educational levels, focusing on technical/vocational curricula in Upper Secondary Education. The study examines the evolution of the technician's role, the CAT pathway in the Italian educational system, and comparisons with other European contexts. It analyzes the alignment between skills developed during the CAT course and the professional competencies required by the community and job market. A survey conducted among recent graduates and companies involved in the Pathways for Transversal Skills and Orientation (PCTO) at a CAT-focused school reveals significant training and professional needs related to Sustainable Development. To address these needs, the study proposes integrating ministerial programs in professional disciplines such as Topography, Building and Technological Systems Design, and Geopedology, Economics, and Appraisal, with new modules dedicated to Sustainable Development. These modules are to be integrated into the last three years of the course, utilizing the autonomy and flexibility in curricular planning per-mitted by current regulations. Additionally, the proposal includes actions to redistribute existing educational modules within ministerial programs without increasing teaching hours. An initial step in updating professional discipline programs involves implementing a cross-disciplinary educational path within Civic Education, focusing on Sustainable Mobility. The investigation, evaluation, and educational design process presented in this study aims to serve as a model for swiftly implementing structured curriculum reforms, emphasizing educational innovation and comprehensive student preparation to meet emerging social and professional needs.

In the context of the era of New Quality Productive Forces, technological innovation has become the core force to promote the development of social productivity, which is closely linked with vocational education, and together create a strong demand for high-quality technical and skilled personnel. In order to meet this demand, vocational education must synchronize with the development of the New Quality Productive Forces and form a mechanism of mutual promotion. The key to promoting the high-quality development of vocational education lies in taking technological innovation as the guide, and comprehensively improving the quality of education through measures such as innovating the education model, deepening the integration of industry and education, and enhancing the adaptability of specialties. To this end, vocational education should actively build bridges for the integration of industry and education, enhance the flexibility and adaptability of the education system, innovate the mechanism of talent cultivation, and establish a comprehensive quality assurance system. Together, these efforts will promote vocational education to enter a new stage of high-quality development and provide a solid talent guarantee for the sustainable development of the social economy.

Most astrophysicists today believe that the present universe was produced in a big bang. This article explores the big cycle of matter and energy in the universe, with the big bang as an important part of the cycle.The authors approve of the idea that the universe is gravitationally closed. That is, its average density is higher than the critical value. All the matter and radiation cannot fly out the closed universe.The 3k background radiation is a vast heat ocean in the closed universe, stable and eternal. It is not the afterglow of the thermal radiation of the decoupled fire ball, 380,000 years after the big bang, as many people believed so far. The big bang and the following big expansion drove the matter of more than 2×10¹² galaxies to the remote space. Their potential energies become higher and higher, while their huge kinetic energies that they derived from the big bang become smaller and smaller until drop down to zero. The galaxies will then return back one after another, passing the central region of the universe with tremendously great kinetic energies. They of course cannot all return back directly to their start point of the big bang and restore to the state of the original cosmic core. They will rush to pass the central region and fly to the other sides of the universe, and shuttle around the central part ceaselessly. From the big bang to the following expansion, to the numerous galaxies, to the more than 2×10²³ stars, and to the stars releasing huge nuclear energy due to their internal nuclear fusion each for about 10¹⁰ years, all these enormous processes are irreversible, resulting in enormous increase in entropy. These processes produce large amount of light and other radiations and pour them into the extremely vast heat ocean. These light and other radiations will also be shuttling ceaselessly in the vast heat ocean until, by their interaction with the rare dusts in the galaxies, they mingle into the 3K thermal radiation of the heat ocean. In all the galaxies, there are various black holes. Every black hole, since its birth, ceaselessly extracts the matter and radiation that approach it, and gets larger. In the above mentioned shuttling of all the galaxies, numerous stars and black holes in these galaxies have many chances to approach even meet each other. A black hole can annex other celestial bodies that it meets, including annex other black holes. All these processes carry on and on ceaselessly, resulting in the matter of these celestial bodies to concentrate again and again. The number of all the celestial bodies including the black holes reduces ceaselessly, and the mass of the survived black holes become larger, and their shuttling amplitudes become shorter. The larger black holes and the shorter amplitudes result in the rate of concentration of mass to be faster. Eventually, all the matter in the universe will be concentrated to form a tremendously large central black hole. The central black hole has an astonishingly large Schwarzschild sphere, absorbing the thermal radiation from the vast heat ocean very rapidly and ceaselessly until some threshold value of its internal energy is exceeded, and a new big bang breaks out. The black holes provide a way in the Universe to re-concentrate matter and energy again. Black holes are Maxwell’s demons in the Nature.

There has recently been discussion regarding how heritage rural areas are culturally affected by recent urban – rural migration. However, little research has been done into the form this process takes in post-communist contexts. Taking a geography approach to some Romanian heritage sites, this study foregrounds narratives based on interviews with local people in two villages in southern Transylvania that were formerly inhabited by different ethnicities. The results point to quite different perceptions of cultural landscape change in the two villages. Although both communities consciously seek to preserve and maintain a sense of place that is rooted in history, those who migrate from urban areas to these rural heritage places represent a catalyst for community resilience and development in areas such as acquisition of buildings, development of facilities, modern social services, and seeking new funding for landscape transformation. As NGOs function as a link between government, local people, newcomers to the community, and investors, we contend that more attention could be paid to channelling their funds towards investment in rural heritage. The greatest challenges to heritage are those posed by tourism, while NGOs and small investors are the driving force that helps to preserve and save cultural heritage.

A prime number is a natural number with no divisors other than itself and the number 1. There are many unsolved problems related to prime numbers. One such problem is finding a general method for identifying prime numbers. Although it is known that all prime numbers fall under the categories of 2, 3, or 6n±1 (where n≥1), a formalized method for eliminating composite numbers (non-prime numbers) from these categories has yet to be developed. This paper aims to explore a possible method for such elimination, which involves checking whether there exists an n that satisfies n = 6km+k+m or n = 6km+k-m (where k and m are non-zero integers). This method is expected to be a major step forward in the derivation of prime numbers.

Internet of Things (IoT) devices are going to be the primary data source in smart cities, often generating and communicating critical, sensitive, and private data that face threats of confidentiality breaches due to the rise of quantum computers. Even though NIST has approved post-quantum cryptography (PQC) schemes that promise to protect from quantum computer threats, these schemes can not be implemented efficiently on IoT devices, which often have computational and memory constraints. Hence, due to the substantial key size requirements and computationally intensive nature of PQC schemes, their direct deployment on IoT devices within smart city architecture is impeded by inherent computational and storage limitations. Consequently, it is imperative to devise PQC-based, resource-efficient authentication protocols tailored to IoT devices operating within smart cities. In this paper, we propose an offloading scheme that uses PQ Edge Server (PQES) for the network that performs PQC-related computation and memory operations for IoT devices in the network. The suggested technique transfers all storage and processing responsibilities from IoT devices in a network to ensure their normal operation and performance without any compromise. PQES generates a distinct PQ key pair for every network device and oversees a separate stream for each device. Therefore, IoT devices in the network may function without cryptographic processes, improving their efficiency by removing the need for conventional cryptography. Our results show that the proposed scheme reduces RAM usage to 1.05 KB and CPU usage to 1.75%, with maximum CPU context switches of 92.8. The proposed scheme uses TCP, a transport layer protocol, which is applicable to lightweight end devices without application-level protocols like HTTP or MQTT. When benchmarked on a Raspberry Pi, the PQES can handle 1000 concurrent connections and use a maximum of 73.5% of RAM. In comparison, previous research used at least 5.1 MB of RAM for one concurrent connection and may use up to 552.6 MB of RAM for 1000 concurrent connections. The maximum CPU usage for our method was 1.75%, whereas the previous proposal had a utilization of 67.1%. The greatest CPU context switches for our system were 92.8, far lower than the 3449 observed for the usual approach. Hence, our proposed scheme reduces the computational, memory, and network load for IoT devices by manifolds and increases device performance while providing PQC security.

Aim: Ovarian cancer is one of the most frequently diagnosed cancers in women in the world. Recognition of the differences between tumors in cancers and resistance to treatment in patients have made the treatment potential of chemotherapy, radiotherapy and immunotherapy controversial. Especially against drug resistance, laboratories have implemented the drug diversion system by putting old drugs into new forms. In this study, the cytotoxic and apoptotic effects of the combination of doxorubicin (DX) and thymoquinone (TQ) on ovarian adenocarcinoma cells (OVCAR3) were investigated. Material Method: OVCAR3 cell line was cultured in RPMI medium containing 10% FBS, 1% penicillin/streptomycin. Cell viability and cell growth rate were determined by MTT viability test by combining doxorubicin and thymoquinone. Nucblue immunofluorescent staining was used to determine the mechanism of cell death at different doses of doxorubicin and thymoquinone compounds, qRT-PCR to determine the pathways underlying the apoptotic mechanism, and western blot methods to show protein levels. Result: We found that the combination of DX and TQ reduced the viability of OVCAR3 cells (MTT assay), induced apoptosis (RAF, RAS, Bcl2, Bax by qRT-PCR) and increased RAF, RAS protein levels in TQ and DX-treated cells by western blot analysis. Conclusion: The results obtained revealed for the first time that combining DX and TQ also had cytotoxic/apoptotic and anti-proliferative effects against ovarian adenocarcinoma cells.

Research on intimate partner violence among refugee and immigrant communities in the United States has been extensive over the past three decades, but little attention has been given to Sudanese refugees. This qualitative study examines intimate partner violence within Sudanese refugee communities in the Great Plains region of the United States, focusing on how Sudanese cultural traditions influence such violence. The research employs a grounded theory approach, utilizing loosely structured in-depth interviews conducted in early 2015 with twenty male and female Sudanese refugees. Key findings from this study are as follows: 1) Male partners often use traditional cultural beliefs to justify psychological and physical violence. These cultural norms are invoked to maintain control over their partners, reflecting deeply ingrained attitudes towards discipline and gender roles. 2) A combination of low educational attainment, unemployment, and financial disputes contribute to the prevalence of intimate partner violence, especially when it intersects with the cultural context. Conflicts often arise from financial pressures, including the obligation to send remittances to relatives back in Sudan and managing household expenses. 3) Victims of intimate partner violence within this community are generally reluctant to involve the police. Instead, they prefer seeking help from traditional leaders, who are seen as more aligned with their cultural values and more likely to provide a culturally sensitive resolution. The study calls for further investigation into why Sudanese women prefer traditional leaders over police, considering distrust of law enforcement, fear of stigma, and perceived effectiveness of traditional methods. It also highlights the need to understand the challenges faced by women after their husbands' imprisonment, such as economic hardship and social isolation. Effective intervention requires a nuanced understanding of these cultural dynamics.

Recognizing the critical impact of environmental factors on individuals, this study explores the relationship between environmental indoor pollutants (PM1, PM2.5, PM10, and CO₂) and students' basic emotional responses based on Ekman’s categorization. Conducted in a secondary school in Spain, it integrates IoT and image processing technologies to monitor air quality and emotions in real-time. Participants included 76 secondary school students and three teachers, with data collected over two months. The results showed significant correlations between PM levels and negative emotions such as anger and disgust, while CO₂ levels were associated with both negative and positive emotions, including happiness. Regression models demonstrated that environmental variables significantly predict basic emotions, highlighting the influence of indoor air quality. These findings emphasize the need for proactive air quality management in educational settings to enhance learning environments and support students' emotional well-being.

In this study, global response analysis was performed to explore the mechanism of action of Usnic acid and its synergy with Norfloxacin, a well-known quinolone antibiotic to which MRSA clinical isolates showed resistance (MIC, 500 µg/mL). Microdilution assay, growth kinetics, microscopic analysis, and cell-based assays consistently showed that Usnic acid possess strong anti-staphylococcal activity (MIC, 7.8 µg/ml), causes cell leakage, modulates efflux pump activity, and synergizes with Norfloxacin against multi-drug resistant clinical isolate MRSA 2071. Whole cell proteome profiling using gel-free based nano-LC-ESI-QTOF-MS/MS revealed several proteins whose expression was significantly modulated by Usnic acid and Norfloxacin alone or in combination. Usnic acid downregulated the abundance of RNA polymerase subunits (RpoB, RpoC), carbamoyl phosphate synthase large subunit (PyrAB), chaperone (GroEL), and adenylosuccinate synthetase (PurA). Interestingly, proteins found to be upregulated in the presence of Usnic acid and Norfloxacin included oxidative stress-related proteins such as peroxidase (Tpx), alkyl hydroperoxide reductase (AphC), and general stress protein (UspA). This study clearly showed that Usnic acid affects numerous cellular targets and can potentiate the action of Norfloxacin. Furthermore, an in-vivo study emphasized the use of Usnic acid to develop as a safe phytopharmaceutical to repurpose old antibiotics through combination therapy against MRSA infections.

Background Postpartum hemorrhage (PPH) remains the leading cause of maternal mortality globally, necessitating focused attention from midwifery professionals. To mitigate severe complications and improve maternal outcomes, regular and effective training in PPH rescue techniques is essential. Aim To assess the efficacy of the combination of case-based learning (CBL) and problem-based learning (PBL) with simulation teaching methods to enhance the technical proficiency of midwifery trainees in managing PPH Methods This quasi-experimental study included 76 trainees who received PPH training at Peking University Third Hospital from March to July 2023; they were divided into two groups: the control group (n = 50), which followed traditional simulation training methods, and the research group (n = 26), which used a combination of CBL-PBL and scenario simulation. After training, all participants completed a questionnaire to evaluate their satisfaction with the training program and to measure improvements in clinical thinking, practical skills, relevant knowledge, team cooperation, and management abilities. Statistical analysis was conducted using unpaired t-tests and chi-square tests to compare the groups. Findings The combination of CBL-PBL with scenario simulation was found to be highly satisfactory compared with the traditional simulation training. This approach significantly enhanced self-assessed skills among midwifery trainees in the research group. Additionally, a majority of trainees expressed a preference for the inclusion of regular simulation exercises and detailed discussions on PPH cases in future training sessions. Conclusion Combining CBL-PBL with simulation practice is a more effective teaching method for PPH management training than traditional methods. Future studies should explore the implementation of regular PPH rescue skill training and its effectiveness in real clinical settings to substantiate these findings.

Zero-day threats are a more severe and constantly developing menace to various participants including large companies, government offices, and educational establishments. These entities may contain valuable information and essential operations that attract cyber attackers. These exploits are especially devastating as they target weaknesses that an organization’s vendors are not even aware of, making them have no protection against them. This paper focuses on the background and use of zero-day exploitation and the structure and technologies of these complex malware attacks. We examine two notable real-life cases: the case of ‘HAFNIUM targeting Exchange Servers with zero-day exploits’ that was investigated by Microsoft 365 Security and Microsoft Threat Intelligence, and the ‘Log4j vulnerability’ case that was reported by the National Cyber Security Centre. These cases show the critical effects of zero-day vulnerabilities and measures taken to combat them. Additionally, this paper outlines different strategies that can be used to prevent zero-day attacks with the help of modern technologies. These are fast patch release, effective IDS/IPS, and a security model that involves constant vigilance and use of behavioral analytics. Thus, by studying the lifecycle of zero-day vulnerabilities and the structure of the exploits, one can enhance the protection of the organization against the threats that are invisible to traditional security systems. This extensive survey is designed to be useful in understanding the characteristics of zero-day vulnerabilities, the technologies for their mitigation, and the constant threat and development in the field of cybersecurity. Thus, it is possible to strengthen the protection against these threats that are constant and develop with time by analyzing the previous events and predicting potential problems.

Ca2+ can boost protein-protein interactions and, if present at an appropriate level, can potentially improve the physicochemical properties of protein gels and films. This study aimed to determine the effect of CaCl2 (0, 0.01 0.025 0.05% w/w) on the optical, water affinity, and mechanical char-acteristics of glycerol (Gly)- and sorbitol (Sor)-plasticized pea protein isolate (PPI) films. The CaCl2 caused darkening and a color shift of the films from yellow to yellow-green. Additionally, de-creased light transmission, particularly in the UV range, and reduced moisture content were observed. The CaCl2 decreased the water vapor permeability (WVP) of the Gly-plasticized film by an average of 20%, with no effect on the Sor-plasticized film. All films were completely soluble in water. The CaCl2 negatively impacted the mechanical integrity of the films, reducing the tensile strength of the Gly- and Sor-plasticized films by ~16% and 14-37%, respectively. Further increases in CaCl2 content (0.1% and 0.2% w/w) led to concentration-dependent cracks, suggesting protein over-crosslinking. In summary, the incorporation of CaCl2 into PPI films did not provide signif-icant benefits and actually worsened key properties such as transparency and mechanical strength. The type of plasticizer influenced how CaCl2 affected some properties of the PPI film.

Synaptopodin 2-like protein (SYNPO2L) is localized in the sarcomere of cardiomyocytes and is involved in heart morphogenesis. However, the molecular function of SYNPO2L in the heart is not fully understood. We investigated the interaction of SYNPO2L with sarcomeric alpha-actinin and actin filaments in cultured mouse cardiomyocytes. Immunofluorescence studies showed that SYNPO2L colocalized with alpha-actinin and actin filaments at the Z-discs of the sarcomere. Recombinant SYNPO2La or SYNPO2Lb caused bundling of actin filaments in the absence of alpha-actinin and enhanced alpha-actinin-dependent formation of actin bundles. In addition, high-speed atomic force microscopy revealed that SYNPO2La directly bound to alpha-actinin via its globular ends. The interaction between alpha-actinin and SYNPO2La stabilized the two proteins on actin filaments. These results strongly suggest that SYNPO2L cooperates with alpha-actinin during actin bundle formation to facilitate sarcomere formation and maintenance.

This study investigates the impact of blade shape, stirring speed, and stirring time on the performance of lost foam casting coatings, specifically focusing on their viscosity, coating weight, and surface morphology. Commercially available lost foam coating materials were used, with varying blade shapes employed in high-speed dispersers. The effects of different stirring speeds and durations on coating viscosity and coating weight were systematically analyzed. It was observed that blade shape significantly influences the uniformity and performance of the coating. Among the blade shapes tested, the three-blade configuration demonstrated the highest efficiency in achieving uniform mixing, with optimal viscosity and coating weight. Stirring speed was found to have a minor effect on viscosity but a notable impact on coating weight, with speeds of 800 to 1200 rpm producing consistent results. Stirring time was shown to stabilize viscosity and coating weight after reaching a certain duration, beyond which no significant changes were observed. Drying behavior was analyzed at various temperatures, revealing that higher temperatures led to increased surface roughness and more pronounced cracks.

The locality condition of probabilities underpinning the derivation of Bell inequalities can be violated classically. The wave function collapse of an entangled state of single photons results in the factorization of quantum probabilities. It is possible to differentiate, locally, between ensemble probabilities of single detections with and without wave function collapse for the alleged quantum nonlocality. The theoretical concept of photonic quantum nonlocality cannot be implemented physically because of the quantum Rayleigh scattering of single photons. A distinction needs to be made between the correlation of individual, single measurements of pure states and the correlation of the measurement ensemble of the mixed states. The correlation operator of Pauli vector operators delivers the same probabilities of correlated detections of photons for both independent and multi-photon states as for ‘entangled’ states of photons. As single-photon sources are not needed, the design and implementation of quantum computing operations and other devices will be significantly streamlined.

This research investigates fiber-reinforced cementitious composites, with a particular emphasis on the geometric properties of soft micro and macro fibers. These fibers are characterized by a lower elastic modulus and larger aspect ratios than steel fibers. The composites were manufactured using a cement-to-sand ratio of 1:2.5, with 20% fly ash serving as a partial substitute. In order to attain varying strengths, two water-to-binder ratios (0.55 and 0.60) were implemented. Synthetic fibers, such as carbon and polypropylene, and natural sisal fibers, were introduced in volumes varying from 0.4% to 2.27%, with aspect ratios ranging from 71 to 3750. The flexural strength and behavior were evaluated using 75x75x380 mm prisms, while the compressive strength was measured using 50 mm cubes. Load-deflection curves were developed to investigate fracture behavior. The behavior of specimens reinforced with fibers post-cracking is dependent upon the matrix compressive strength, fiber type, quantity, and aspect ratio. A regression analysis was conducted on data from this study and previous publications to develop an equation that predicts the ratio of modulus of rupture (MOR) to initial fracture strength. The variables are matrix strength and fiber characteristics. The results reveal that carbon fiber-reinforced composites (CFRCCs) exhibit considerable brittleness post-cracking, despite exhibiting a flexural strength that is two to three times greater than that of control specimens. When workability is not compromised, the maximal load capacity and deflection are improved by increasing the fiber volume and aspect ratio. The maximal load stress is more significantly influenced by volumes of fibers than by aspect ratio.

This article explores the potential of the Unreal Engine game engine as a tool for creating highly realistic 3D visualizations of GIS data, specifically in the context of significant historical areas. The research will focus on the computational techniques used in the 3D visualization of GIS data and the Unreal Engine software and its potential applications in geomatics. The article also presents several relevant scientific studies and projects that have successfully used game engines for similar purposes, explores the potential for using GIS data within a game engine, including plug-ins that provide additional functionality to GIS software, and the use of procedural modeling to create 3D objects through the CityEngine software plug-in. Finally, the research is applied to a dataset of the historical Vltava Valley covering an area of 1670 km2 to demonstrate the capabilities of Unreal Engine in creating realistic visualizations of large historical landscapes, and the resulting visualizations are presented. This practical application of the research provides valuable insights into the potential of the Unreal Engine as a powerful tool for creating highly realistic 3D visualizations of large historical areas with potential applications in the field of geomatics.

The purpose of this paper is to review the involvement of mitochondria in the actions of nitroglycerin (glycerol trinitrate -GTN) and the redox disturbances underlying diseases it treats. The paper begins by explaining complex I as the initial site of formation of superoxide and the process whereby it leads to the development of glutathione dependent tolerance. Next, the paper describes new formulations for preventing tolerance. The paper ends by illustrating diseases that may benefit from treatment with novel glutathione based GTN formulations and treatment approaches.

Human induced climate change led to the recognition of Community-Based Adaptation (CBA) as one of the remedies in building adaptive capacity and resilience of communities. It recognizes the agency of communities in shaping the optimal strategy. CBA interventions are vital in addressing community needs and contextual specificities, enable participatory and inclusive engagement and thereby facilitate more profound adaptation impacts. Agent-based modelling (ABM) has the potential to be an invaluable approach in developing tailored adaptation strategies considering capacities, resources, skills, priorities, needs and the cultural context of local communities. ABM allows to capture the complex relationships among various components within community decision making on CBA actions, the CBA actions themselves and the environment, however available tools provide for various degrees of freedom in agent definition, sensitivity analysis, scalability, experiment design and output analysis to name a few. This article assesses all available ABM modelling and simulation tools for its application in the context of CBA. NetLogo emerges as the most suitable tool for incorporating and handling the special features of CBA. It is closely followed by GAMA and Envision. The article provides insights and guidance to researchers and practitioners in selecting ABM tools aligned with the specific requirements of their CBA simulations and projects.

A thorough understanding of the type and severity of cataracts is crucial for accurately estimating the optimal phacoemulsification energy. In preceding research efforts, an innovative clinical prototype known as the Eye Scan Ultrasound System (ESUS) was developed to facilitate the automated characterization of cataracts. To evaluate the effectiveness of the prototype as a medical tool, extensive data must be collected from several patients with and without cataracts. However, obtaining an adequate number of patients and data for training and testing machine learning models is challenging. To overcome this limitation, the authors implemented a simulated prototype model of the ESUS system, to augment the data. The proposed model encompasses the electric-to-acoustic signal conversion in the ultrasonic transducer, the wave propagation through the eye, and the subsequent acoustic-to-electric signal conversion. Electrical modelling of the transducer was done using a two-port network and the wave propagation was modelled by using the k-Wave MATLAB toolbox. This holistic modelling approach enabled the generation of synthetic data augmentation, presenting great similarity with real data. The synthetic data can then be employed together with real data for the purpose of cataract classification.

Background: Liver failure profoundly affects the immune system, leading to dysregulation of innate and adaptive immune responses. Body: This review explores the intricate relationship between liver function and immune homeostasis. The role of the liver as a central hub in immune response initiation is elucidated, emphasizing its involvement in hepatic inflammation induction and subsequent systemic inflammation. Cytokines, chemokines, growth factors, and lipid mediators orchestrate these immune processes, serving as both prognostic biomarkers and potential therapeutic targets in liver failure-associated immune dysregulation. Furthermore, the review delves into the mechanisms underlying immunosuppression in liver failure, encompassing alterations in innate immune cell functions such as neutrophils, macrophages, and natural killer cells (NK cells), as well as perturbations in adaptive immune responses mediated by B and T cells. Conclusion: Understanding the immunological consequences of liver failure is crucial for developing targeted therapeutic interventions and improving patient outcomes in liver disease management.

This study throws more light on the new Co-free and Ni-rich LiNi0.8Mn0.1Fe0.1O2 cathode material for lithium-ion batteries. This cobalt-free cathode material is prepared using a two-step process: the formation of an oxalate precursor by co-precipitation followed by a solid-state reaction with lithium hydroxide and iron citrate. The physico-chemical properties of LiNi0.8Mn0.1Fe0.1O2 are characterized using X-ray diffraction, Raman spectroscopy, scanning electron microscopy, thermal gravimetric analysis, and energy dispersive X-ray spectroscopy, respectively. The LiNi0.8Mn0.1Fe0.1O2 electrode tested at at C/2 rate within voltage window of 3.0-4.4 V vs. Li+/Li delivers a specific capacity of ~80 mAh g-1 and retain about 45% of its initial capacity after 100 cycles.

By using the method of high-temperature solid-phase reaction, the new piezoceramic SrBi2Nb2-2xWxSnxO9 was obtained, in which partial substitution of niobium (Nb) atoms with Sn4+ and W6+ atoms in the compound SrBi2Nb2O9 took place in the octahedra of the perovskite layer (B-position). X-ray diffraction studies have shown that these compounds are single-phase SrBi2Nb2-2xWxSnxO9 (x = 0.1, 0.2) and two-phase SrBi2Nb2-2xWxSnxO9 (x = 0.3, 0.4), but they all had the structure of Aurivillius – Smolensky phases (ASPs) with similar parameters of orthorhombic elementary cells, corresponding to the spatial group A21am. The dependences on temperature of the relative permittivity ε/ε0 and the tangent of the loss angle tan d at different frequencies were measured.

Organic fertilization is gaining importance as an alternative to chemical fertilization. However, the effects of organic products on crop quality need to be characterized, especially in those new products. Therefore, the effect of an enriched-biochar supplied with an organic fertilizer (Biochar) on yield and nutritional compounds of artichoke (Cynara cardunculus var scolymus) heads was analyzed and compared to inorganic conventional fertilization (Control). For that, number of fruits and their weights were determined together with nutritional properties of artichoke heads, as mineral content, fatty acids, content phenolic compounds and flavonoids. Results showed that biochar increased crop yield as registered by the higher number of marketable or commercial artichokes, as compared to the Control. Besides, biochar-treated plants presented significantly higher contents of Ca, Mg, and S, in the artichoke heads, but a decreased content of Co, Cu, and Zn. The fatty acids content in the Biochar-treated artichokes was also significantly higher, mainly because of the palmitic acid. On the contrary, the contents of phenolic compounds (e.g. flavonoids), were negatively and significantly affected by the Biochar application. In conclusion, the application of Biochar as soil amendment in combination with organic matter, for growing artichokes in the Semiarid Mediterranean area (e.g. Murcia Region) favoured an increasement in yield without comprising its nutritional composition. Further developments to establish protocols for extended use of Biochar in this agri-food production area are guaranteed.

This study investigates the structured spatial organization through a focus on streets, blocks and buildings, proposing them as fundamental components in conceptualizing cities as layered pal-impsests. Former Ottoman capital city, Bursa, serve as case study due to its rich evolutionary history and the potentiality of the urban heritage values/elements they demonstrate. Following the “Tanzimat” Era, a period marked by modernization and renewal, the urban fabric of Ottoman capital cities underwent significant reforms aimed at aligning them with the principles of mo-dernity. Maps dating back to the 19th century serve as the most illustrative sources for compre-hending the evolving character and layout of these cities. The foundational aspects of the charac-ter and appearance of the historic environment played crucial roles not only in shaping the mod-ern city but also in preserving and enhancing urban heritage areas by harmonizing them with contemporary urban conditions. Factors such as street age, street hierarchy, block typology, and the localization of historical landmarks are indispensable for grasping the developmental trajec-tory of these cities, offering insights that bridge spatial scales and span across historical eras. Employing a combination of qualitative and quantitative data, this research builds upon descrip-tive and analytical approaches to urban morphology. The methodology entails comprehensive morphological analysis, which involves assessing changes and persistence in the urban fabric of selected heritage site, both pre-existing and post-modernization, drawing from its historically scientific maps. The analysis focuses on abstracting key attributes such as type, configuration, size, and the relationship between the elements.

Research interest in the occurrence, distribution, fate, and toxicity of N-(1,3-Dimethylbutyl)-N’-phenyl-p-phenylenediamine (6PPD) quinone, a derivative of the tire amino antioxidant 6PPD in urban environments, has surged. While several studies have found that 6PPD quinone exhibits acute, reproductive, and behavioral toxicity as well as mutagenicity and hepatotoxicity in aquatic and terrestrial animals, its environmental exposure data are fragmented and lack coherence across the source-to-exposure continuum, making it difficult to use for risk assessment and regulatory purposes. The present work developed an aggregate exposure pathway (AEP) framework to integrate the exposure data. An AEP network was developed for the atmospheric deposition of 6PPD quinone from tire wear in the Pearl River Delta, which led to human exposure. The 6PPD quinone research was organized, visualized, and evaluated with pertinent knowledge gaps identified using the weight of evidence assessment. Eight key exposure states were identified, with only two having high confidence levels and three having low confidence levels. Empirical support for the key transitional relationships decreased from High to Low from the source to the target site, indicating an urgent need for downstream mechanistic data. The proposed AEP framework integrated diverse 6PPD quinone research, facilitating a mechanistic understanding of the source-to-outcome continuum, as well as the development of quantitative predictive models for future research and environmental regulation.

Recent studies in rural heritage tourism have highlighted that an evolutionary economic geography perspective could be helpful in determining whether cultural heritage tourism could stand as a branching-innovating trajectory. Its evolution can be understood by presenting specific mechanisms of layering, recombination and conversion that leads to path development. We contribute to rural heritage tourism by basing our study on perceptions of tourists and local officials on the Rudăria Watermills, Romania. Based on survey and interview data, we document the strengths and limits of local watermills for tourism and describe the entrepreneurial agents involved in path development. Our findings point to the important role played by a local NGO in developing a path for tourism for the watermills, as well as the active involvement of local authorities and other local cultural leaders for including the mills in national and international tourism circuits.

The extraction methods for carotenoids, xanthophylls and chlorophylls are essential processes involved in the recovery of bioactive compounds from a wide variety of natural sources, including plants, marine organisms, microorganisms and animals. These bioactive compounds, characterized by their significant functional and structurally active properties, play a crucial role in various industries, such as pharmaceuticals, nutraceuticals and food. Due to their presence in small quantities and conjugated form in nature, the extraction of these compounds can be laborious and often requires meticulous purification steps. Interestingly, the primary and secondary metabolites present in plants contribute significantly to the production of these bioactive compounds, adding to their complexity and importance. Notably, carotenoids, as natural pigments with antioxidant and nutritional properties, are known for offering numerous health benefits and are instrumental in various biological processes, including the photoprotection of plants and the prevention of chronic degenerative diseases. It is fascinating to observe that by-products generated from agricultural activities and food processing serve as abundant sources of these bioactive compounds, aligning with the principles of the circular economy and sustainable resource management. Given the diverse health benefits and multifaceted applications of these natural pigments, there is a growing interest in not only extracting but also utilizing them for industrial, nutritional and pharmacological purposes.

Tumor entities of the Central Nervous System (CNS) are defined by the WHO classification and range from benign neoplasms to highly malignant tumors, making histopathological classification challenging. This diverse spectrum complicates clinical decision-making and the interpretation and validation of clinical trial results. The methodology based on DNA methylation profiling of CNS tumors offers greater diagnostic precision compared to traditional morphological methods. In this study, we analyzed 16 DNA samples from medulloblastomas and ependymomas, obtained from paraffin-embedded blocks from the Pathology Division archives of HCFMUSP, and with prior histological analysis. The samples were processed using the Infinium MethylationEPIC BeadChip (Illumina®) and methylation data analysis tools in R Studio. The data were submitted to the MolecularNeuropathology.org platform for methylation based classification and CNV chart generation. The classifier was consistent with the previous diagnosis in all cases, refining the diagnosis in 54% of cases to subclass, 38% to subtype, and 8% to family. The platform also provided CNV estimates for 87% of cases, revealing crucial information on genetic alterations such as gains, losses, amplifications, and gene fusions. Despite the challenges of implementation within the Brazilian Public Health System (SUS), the results demonstrate the method's robustness and reproducibility, promising invaluable support for precise diagnoses and the development of more effective therapeutic strategies.

The utilization of inertial measurement units (IMUs) as wearable sensors is proliferating 1 across various domains such as healthcare, sports, and rehabilitation. This expansion is driven by 2 the continuous improvement of sensor technology to accommodate specific operational demands. 3 This paper introduces the development of a configurable wearable device capable of capturing both 4 high-frequency and low-frequency signals, tailored for a wide range of monitoring applications.Our 5 focus is on a comprehensive evaluation of the device in terms of deviation, noise levels, and precision. 6 We present initial findings that demonstrate the device’s robust performance, and put on the spotlight 7 the most critical optimizations needed to improve the device to reach the goal of a smart general-use 8 unit for human motion monitoring.

This literature review investigates the role of plumage in the hunting tactics of Velociraptor, integrating anatomical analysis and biomechanical modeling. Velociraptor, a swift and agile theropod from the Late Cretaceous, exhibited advanced intelligence and sensory capabilities that contributed to its effective predatory strategies. Recent discoveries have confirmed that Velociraptor was covered in feathers, with quill knobs indicating well-developed plumage. This review explores the potential functions of feathers beyond flight, focusing on their impact on hunting behavior. Evidence suggests that Velociraptor’s plumage likely facilitated camouflage and enhanced aerodynamic control, improving its stealth and maneuverability during high-speed chases. Additionally, feathers might have contributed to stability during incline running, further supporting its adaptability in diverse environments. Velociraptor’s hunting strategies, characterized by agility and precision, were complemented by its feathered anatomy, which may have also played a role in pack hunting and social interactions. Overall, the integration of plumage with Velociraptor’s anatomical features and behavioral adaptations underscores its efficiency as a predator, demonstrating how feathers may have been a critical factor in its successful hunting tactics.

Cryopreservation, storing biological material in liquid nitrogen (LN, −196 °C), offers a valuable option for the long-term conservation of non-orthodox seeds and vegetatively propagated species in the sector of agrobiodiversity and wild flora. Although large-scale cryobanking of germplasm collections has been increasing worldwide, the wide application of cryopreservation protocol in wild flora is hampered by difficulties in vitro propagation and a lack of universal cryopreservation protocols, among others. This study established a systematic approach to developing an in vitro culture and droplet-vitrification cryopreservation procedure for shoot tips of Scrophularia kakudensis. The standard procedure includes two-step preculture with 10% sucrose for 31 h and with 17.5% sucrose for 16 h, osmoprotection with loading solution C4-35% (17.5% glycerol + 17.5% sucrose, w/v) for 30 min, cryoprotection with A3-80% (33.3% glycerol + 13.3% dimethyl sulfoxide + 13.3% ethylene glycol + 20.1% sucrose, w/v) at 0 °C for 60 min, and cooling and rewarming using aluminum foil strips. After unloading, a three-step regrowth procedure starting with an ammonium-free medium with growth regulators was essential for developing normal plantlets from cryopreserved shoot tips. Liquid overlay on the gelled medium two weeks after inoculation resulted in vigorous growth during subcultures. Moreover, liquid overlay increased LN regeneration by up to 80%, i.e., 23% higher than no liquid overlay.

In this paper, we study nonlocal problems for a fractional diffusion equation and a degenerate hyperbolic equation with singular coefficients in the lower terms. The uniqueness of the solution to the problem is proved by the method of energy integrals. The existence of a solution is equivalently reduced to the question of the solvability of Volterra integral equations of the second kind and a fractional differential equation. For a particular solution of the proposed problem, its visualization is carried out for various values of the order of the fractional derivative. It is shown that the order of the derivative affects the intensity of the diffusion process (subdiffusion), as well as the shape of the wave front.

Introduction: Increases in contralateral range of motion (ROM) have been shown following acute high-intensity and high-duration static stretching (SS) with no significant change in contralateral force, power, and muscle activation. There are currently no studies comparing the effects of a high-intensity, low-duration (HILD) or low-intensity, high-duration (LIHD) SS on contralateral performance. Purpose: The aim of this study was to examine how HILD and LIHD SS of the dominant leg hamstrings influence contralateral limb performance. Methods: Sixteen trained participants (8 females, 8 males) completed three SS interventions of the dominant leg hamstrings; 1) HILD (6x10s at maximal point of discomfort (POD)), 2) LIHD (6x30s at initial POD), and 3) control. Dominant and non-dominant ROM, maximal voluntary isometric contraction (MVIC) forces, muscle activation (electromyography (EMG)), unilateral CMJ and DJ heights were recorded pre-test and 1-minute post-test. Results: There were no significant contralateral ROM or performance changes. Following the HILD condition, the post-test ROM for the stretched leg (110.612.60) exceeded the pre-test (106.09.00) by 4.2% (p=0.008). Similarly, with LIHD, the stretched leg post-test (112.216.50) also exceeded (p=0.06) the pre-test ROM (109.316.20) by 2.6%. There were large magnitude impairments, evidenced by main effects for testing time for force, instantaneous strength, and associated EMG. A significant ROM interaction (p=0.02) showed that with LIHD, the stretched leg significantly (p=0.05) exceeded the contralateral leg by 13.4% post-test. Conclusion: The results showing no significant increase in contralateral ROM with either HILD or LIHD SS suggesting the interventions may not have been effective in promoting crossover effects.

This systematic examines research into patients diagnosed with retinal vascular occlusive diseases (RVODs) secondary to coronavirus disease 2019 (COVID-19) infection or vaccination. RVODs include central retinal vein occlusion, branch retinal vein occlusion, central retinal artery occlusion, and branch retinal artery occlusion. Previous studies have posited a possible link between RVODs and COVID-19. RVODs are of two types: retinal vein occlusion and retinal artery occlusion. These disorders develop when retinal blood vessels become clogged by thrombi or fat deposition. The retina is an important component of the visual apparatus. Its photoreceptors are stimulated by the light hitting the eye and record its pattern. The retina then relays this visual information to the brain. When retinal blood vessels become clogged, the damage can range from slightly reduced vision to complete blindness. COVID-19 causes endothelial dysfunction and increased levels of von Willebrand factor antigens in the blood. Elevation of von Willebrand factor activates the coagulation process and platelet aggregation. The treatment methods and visual prognosis in COVID-19-related RVODs do not differ from conventional RVODs. However, ophthalmologists need to be aware of the possible relationship and should consider RVODs when they encounter patients with vision loss following COVID-19 infection or vaccination.

Based upon the latest molecular phylogenies of Gonyosoma sensu lato, which recovered five clades with robust support, we utilize morphological characters to demonstrate the distinctiveness of each clade, resulting in the resurrection of three genera (Gonyophis Boulenger, 1891 [1], Rhynchophis Mocquard, 1897 [2], and Rhadinophis Vogt, 1922 [3]) and proposal of a new genus and a new tribe. A synopsis of the group, with descriptions and diagnoses, is provided for the five genera and eight species in addition to distribution maps and illustrations of the head of each taxon. An artificial key to the species and genera in the new tribe is presented in addition to estimated origin times for each clade.

In this paper, we consider the Cauchy problem of a time fractional nonlinear diffusion equation. According to the Kaplan’s first eigenvalue method, we first prove the blow-up of the solutions in finite time for some sufficient conditions. We next give sufficient conditions for the existence of global solutions by using the result of Zhang and Sun. In conclusions, we find the second critical exponent for the existence of global and non-global solutions via the decay rates of the initial data at spatial infinity.

Brazilian garimpeiros are a highly hard-to-reach and mobile population, with little access to basic hygiene and health services, and have been crossing the border to work irregularly in gold mines in French Guiana since the 90s. This study aimed to characterize this population and identify their main health problems. A cross-sectional study was carried out in the municipality of Oiapoque-AP, with two surveys: before (2018) and after (2019) the implementation of Malakit. Individuals were recruited from resting places and submitted to a questionnaire with demographic variables, history and knowledge of malaria, and health issues in the mines. Simultaneously, a clinical evaluation was performed. The garimpeiros were mainly men from Maranhão, Pará, and Amapá, with a low educational level and worked on average for 10 years in the mining sites. The study population mentioned numerous health problems: malaria, followed by leishmaniasis, flu, body aches, headaches, and digestive problems. Other diseases mentioned were skin diseases, bat bites, hepatitis, and HIV infection. This vulnerable population is constantly subjected to heavy routines and exposed to different diseases and infections that can spread across borders. Knowledge of this is essential for developing public health policies that can be integrated into specific epidemiological situations.

This study examined how Information Use Environments (IUEs) influence the information behavior of people living with neglected tropical diseases (PLWNTDs) and how this affects their participation in diagnosis and treatment programs. The author demonstrated that local information use environments (IUEs) significantly impacted the information behavior of people living with neglected tropical diseases (PLWNTDs'), which can be harnessed to improve their involvement in diagnosis and treatment programs. The author compared user-centered and program-centered approaches within common IUEs in remote and impoverished areas, finding that NTDs persist due to a disconnect between program organizers and the affected individuals’ information use environments (IUEs). Data was sourced from published papers, and OpenAI (ChatGPT) was used to generate list of local sources (IUEs) in affected remote communities. The findings indicated that understanding local IUEs can help program organizers enhance participation rates of individuals with NTDs in diagnosis and treatment initiatives.

The Atlantic Canada Together Enhancing Acute Stroke Treatment (ACTEAST) project is a Modified Quality Improvement Collaborative (mQIC) designed to improve ischemic stroke treatment rates and time-based efficiency in Atlantic Canada. This study specifically evaluates the implementation of the mQIC in Nova Scotia using qualitative methods. The mQIC spanned six months and included two Learning Sessions, multiple webinars, and a per-site virtual visit. Each session was followed by an action planning period to guide implementation efforts over the following 2-4 months. The Consolidated Framework for Implementation Research (CFIR) was utilized to develop a pre-tested, semi-structured interview guide, which aimed to uncover barriers and facilitators to mQIC implementation. Interviews were conducted with 14 healthcare professionals, generating 454 references that were coded into 28 CFIR constructs. Notably, 84% of these references were positively framed as facilitators. Despite this, significant barriers were identified, including resource availability, competing priorities, communication challenges, and difficulties engaging key stakeholders. Some barriers were particularly prominent during specific phases of implementation. The study findings offer valuable insights into the implementation of quality improvement initiatives in stroke care. They underscore the importance of recognizing and addressing context-specific barriers, while also leveraging identified facilitators to drive successful implementation and ultimately improve patient outcomes.

Previous studies have acknowledged the impact of weather changes on retail uncertainty. They primarily focus on understanding how weather conditions affect offline consumer behavior and aiming to develop effective marketing strategies. However, there is little research on the complex impact of weather on online shopping behavior. To bridge this gap, we conduct a study with a sample of 261 consumers from China with shopping experience in Community Retail Shops (CRSs). We utilize the S-O-R model and theories including meteorological emotional effect theory, emotional coherence and meteorological psychology to propose and validate models elucidating the relationship between weather and consumers' online shopping behavior in CRS. Our findings reveal that weather conditions affect consumers' spending patterns and purchase diversity, mediating by consumers' emotion and risk aversion, when they comfortably shop online at home. Furthermore, employing the fsQCA model, we identify the critical path through which weather conditions and consumer types influence risk aversion awareness. The results provide management implications for retailers to develop online marketing strategies for different consumer types.

To enhance the corrosion resistance of molybdenum metal in molten zinc, this study successfully fabricated TiB2 coatings on molybdenum substrates using the molten salt electrophoretic deposition technique and investigated their corrosion resistance in molten zinc. Initially, TiB2 nanoparticles with a size ranging from 50 to 150 nm were synthesized using the borothermal reduction method in NaF-AlF3 molten salts at 1238 K. Subsequently, electrophoretic deposition experiment was conducted by applying a cell voltage of 1.2 V (corresponding to an electric field of 0.6V/cm) for 1 h in the molten salts containing TiB2 nanoparticles, resulting in a uniform, continuous, and dense TiB2 coating with a thickness of 35 μm on the molybdenum substrate. Moreover, the corrosion resistance of the TiB2 coated molybdenum metal to molten zinc was tested through continuous immersion. After 120 h of immersion, the TiB2 coating showed no signs of cracking or peeling off, successfully protecting the molybdenum metal substrate from corrosion by molten zinc. The results confirm that the molten salt electrophoretic deposition technique can be used to prepare TiB2 coatings with good resistance to molten zinc corrosion on molybdenum metal.

Smart Dental Materials refer to materials used in dentistry with additional functionality to enhance treatment outcomes, which may improve oral health. Smart materials for dental restorations can react to stimuli such as a specific temperature, a different pH, or mechanical stress, repair small cracks or damage by themselves, and interact beneficially with biological surroundings. For example, they might release ions and promote tooth remineralization or have antibacterial properties to prevent bacterial growth. Others can have enhanced mechanical properties like strength and wear resistance to ensure these materials can withstand the daily masticatory forces. This review presents our current comprehension of smart dental materials designed for tooth restoration. We focused on what these materials need to be effective, like durability, biocompatibility, and aesthetic requests, besides identifying new ideas for their design. A detailed analysis of the current challenges faced in formulating these materials, such as the balance between enough ions released with proper physicochemical properties and achieving the desired biological response, was discussed. We also discussed how these cutting-edge technologies are being leveraged to overcome existing limitations, creating more dental materials with potential clinical translation. The review also discusses the practical challenges in implementation and the prospects for these materials in dentistry.

When limited area models of the hydrodynamics of the atmosphere and of the ocean are 1 run over an extended time, variability unrelated to external "drivers" emerge - this variability is 2 colloquially named "hydrodynamical noise" or just "noise". This article summarises what we have 3 learned in the past few years about the properties of such noise, and the implications for numerical 4 experimentation and analysis. The presence of this noise can be identified easily in ensembles of 5 numerical simulations, and it turns out that the intensity of the noise is closely linked to the scale- 6 dependent "memory". At the system level, this "memory" term as given by Hasselmann’s Stochastic 7 Climate model plays a key role. In the case of marginal seas, the process of baroclinic instability 8 modulated by tides and the formation of seasonal thermoclines are significant aspects. Some more 9 general aspects are discussed, such as the applicability of the Stochastic Climate model to systems 10 outside of atmospheric and oceanic dynamics, the irreversibility of tipping points and the challenges 11 of detecting changes beyond a noise level and of the attribution of causes of change.

The main purpose of this study is the determination of the optimal data acquisition and processing parameters of electric and seismic tomographic techniques, for the investigation of complex geological environments. Two different study areas, in central-east Peloponnese and SW Attica were selected, where a detailed geological mapping and surface geophysical survey were carried out. The applied geophysical survey included the application of electrical resistivity tomography (ERT) and seismic refraction tomography (SRT). The geoelectrical measurements were acquired with different arrays and electrode configurations. Moreover, various types of seismic sources were used at seventeen shot locations along the seismic arrays. For the processing of geoelectrical data, clustered datasets were created increasing the depth of investigation and the discriminatory capability. The seismic data processing included: (a) creation of synthetic models and seismic records to determine the effectiveness and capabilities of the technique, (b) spectral analysis of the seismic records to determine the optimal seismic source type and (c) inversion of the field data to create representative subsurface velocity models. The results of the two techniques successfully delineated the complex subsurface structure that characterizes these two geological environments. The application of the ERT combined with the SRT, are the two dominant, high-resolution techniques for the elucidation of complex subsurface structures.

NiO nanoparticles have been synthetized by calcination of layered double hydroxides (LDHs) precursors prepared using dimethylamine (DMA) as a precipitating agent. The incorporation of Ce and La oxides to the structure was investigated. The samples were characterized by element chemical analysis, powder X-ray diffraction, FT-IR spectroscopy, thermal analysis and specific surface area analysis. Furthermore, the optical band gaps of the semiconductor samples were estimated by ultraviolet-visible diffuse reflectance spectroscopy. The results showed that it is possible to obtain Ni-LDHs precursor with good crystallinity and a small crystal size, which can be used as precursors of NiO nanoparticles with ≈3.7 nm of crystal size. The semiconductors obtained have good values of band gaps with rather large specific surface areas, which make them suitable for their use as photocatalysts.

Leucine zipper-EF-hand containing transmembrane protein 1 (LETM1) is a mitochondrial inner membrane protein involved in mitochondrial morphology and homeostasis. LETM1 is highly expressed in many human solid cancers and correlates with poor prognosis possibly due to mitochondrial dysfunction. However, the functional role of LETM1 in the progression of hematological malignancies remains to be elucidated. In this study, we found that higher LETM1 expression was associated with a short overall survival in Diffuse Large B-Cell Lymphoma (DLBCL) and in Acute Myeloid Leukemias (AML) patients. The transcriptomic analysis showed that LETM1 expression is positively correlated with oncogenic pathways (e.g., glucose transport, stem cell maintenance, mTOR and Wnt signaling pathways, mitotic G2/M phase transition, and cell proliferation) and negatively correlated with autophagy-related processes and apoptosis. In contrast, low expression of LETM1 associated with upregulation of BECLIN-1-dependent mitophagy, which in turn improves the prognosis in both DLBCL and AML patients. Our data suggest that LETM1 is a valuable prognostic marker and a possible therapeutic target for improving the clinical outcome in hematological malignancies.

Data spaces are a relatively recent concept for a trusted and secure distributed data ecosystem through which to exchange resources in the Web. Several different efforts are currently being made to define guidance toward data space implementation, with some initiatives and organizations providing solutions and standards that address interoperability and good data exchange practices, especially in the domain of geospatial information. Geospatial Use Cases often require effective and high-quality data sharing between systems dealing with different aspects of real-world objects. However, the different solutions proposed do not yet provide a common interoperability framework with mature implementation options. This gap between concept and implementation risks confusing users and developers, instead of reciprocally strengthening the respective data spaces' infrastructures and capabilities. This paper reviews and compares some of the proposed solutions, providing mapping and integration of these blueprints to available interoperability standards. This concrete mapping is designed to support effective practical implementation of data spaces, and to guide future solutions developments.

Fortified human milk is the first choice for preterm infants. Although individualized fortification is recommended, the optimal method for this population remains uncertain. We conducted a comparative study assessing the growth effects of adjusted (AF) and targeted fortification (TF) in extremely low birth weight (ELBW) infants. This single-center, randomized, controlled clinical trial was conducted at a tertiary neonatal unit in Spain. Eligible participants were premature infants with a birthweight <1000g exclusively fed with human milk. A total of 38 patients were enrolled, 15 of them randomised to AF group and 23 to TF group. AF was based on BUN concentration and TF on human milk analysis. The primary outcome was weight gain velocity (g/kg/day).No significant differences were found in weight gain velocity at 28 days, at 36 weeks of postmenstrual age, at discharge nor during intervention. Protein intake was significantly higher in AF group (5.02 g/kg/day vs 4.48 g/kg/day, p= 0.001). No differences were found in lipids, carbohydrates and energy intake; neither in weight z score change between the different time points; nor in length and head circumference growth. Both AF and TF are comparable methods of fortification and provide appropriate growth rate in ELBW infants.

Traffic anomaly detection is crucial for urban management, yet current research is often confined to small-scale endeavors. This study collected nine months of real-time Wuhan traffic monitoring data from Amap. We proposed Traffic-ConvLSTM, a multi-scale spatial-temporal technique based on long and short-term memory networks (LSTM) and convolutional neural networks (CNN) to effectively achieve long-term anomaly detection at the city level. First, we convert the traffic flow data into image representation, which enables the capture of the spatial correlation between traffic flow and roads and the correlation between traffic flow and roads, as well as the surrounding environment. Second, The model utilizes convolution kernels of different sizes to extract spatial features at road-level, regional-level, and city-level scales, while incorporating temporal features of different time steps to capture hourly, daily, and weekly dynamics. Additionally, varying weights are assigned to the convolution kernels and temporal features of varying spatio-temporal scales to capture the heterogeneous strengths of spatio-temporal correlations within patterns of traffic anomalies. The proposed Traffic-ConvLSTM model exhibits improved performance over existing techniques in the task of identifying long-term and large-scale traffic anomaly occurrences. Furthermore, the analysis reveals significant traffic anomalies during holidays and urban sporting events. The diverse travel patterns observed in response to various activities offer insights for large-scale urban traffic anomaly management, providing recommendations for city-level traffic control strategies.