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Preprint ARTICLE | doi:10.20944/preprints202410.2333.v2

Comparative Analysis of Air Conditioning Unit Performance with and without External Cooling System

Bander Abdulrazaq Aldorihim

Subject: Energy And Fuel Technology, Engineering Keywords: Air conditioning performance; Evaporative cooling system; Energy efficiency; Cooling efficiency; Split air conditioning system; Electricity consumption reduction; External cooling system integration; Condenser cooling; Evaporative cooling pads; Hybrid cooling solutions

Online: 31 October 2024 (03:49:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2401.v1

Genotypic Clustering of H5N1 Avian Influenza Viruses Detected in North America

Patil Tawidian, Mia K. Torchetti, Mary L. Killian, Kristina Lantz, Krista E. Dilione, Jourdan M. Ringenberg, Sarah N. Bevins, Julianna B. Lenoch, Hon S. Ip

Subject: Virology, Biology And Life Sciences Keywords: Avian influenza; High pathogenic influenza virus (HPAI); H5N1 virus; Virus reassortment; H5N1 genotypes; Virus nomenclature

Online: 31 October 2024 (03:42:04 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2393.v1

Scoping Review of Intergenerational Research on the Use of Multisensory Spaces

Mark Linden, Michelle Templeton

Subject: Public Health And Health Services, Public Health And Healthcare Keywords: intergenerational; multisensory space; scoping review; health; community

Online: 31 October 2024 (03:41:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2396.v1

The Differential Effects of Aerobic and Resistance Training on Sleep Quality Among College Students: An Exploratory Study Using Smart Wearable Devices

Xing Jing, Xing Jing, Youdi Wei, Dai Jiansong, Qiang Tang

Subject: Physical Therapy, Sports Therapy And Rehabilitation, Public Health And Healthcare Keywords: Sleep quality; College students; Exercise Prescription; Smart wearable devices

Online: 31 October 2024 (03:41:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2475.v1

Shape Transformations of Two-Component Vesicles, Induced by the Adhesion to Flat Surfaces

Jeel Raval, Aleš Iglič, Bo Li, Wojciech Góźdź

Subject: Biophysics, Physical Sciences Keywords: lipid membranes; adhesion; curvature energy

Online: 31 October 2024 (03:02:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2437.v1

The Impact of Corruption on SMEs’ Trade Credit Management Effectiveness

Werner Henk Otto

Subject: Business And Management, Business, Economics And Management Keywords: Corruption; trade credit management effectiveness; SMEs

Online: 31 October 2024 (03:00:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2415.v1

Impact of Moisture Absorption on Optical Fiber Sensors: New Bragg Law Formulation for Monitoring Composite Structures

Pietro Aceti, Giuseppe Sala

Subject: Aerospace Engineering, Engineering Keywords: Optical Fiber; FBG Sensors; Hygrothermal Effects; Bragg Equations; Health and Usage Monitoring System

Online: 31 October 2024 (03:00:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2409.v1

A 2nd Order True-VCO ADC Employing a Digital pseudo-DCO Suitable for Sensor Arrays

Dante Loi, Victor Medina, Luis Hernandez Corporales

Subject: Electrical And Electronic Engineering, Engineering Keywords: delta-sigma modulation; true-VCO ADC; pseudo-DCO

Online: 31 October 2024 (02:56:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2421.v1

The Effect of Micronutrients on PSA Dynamics in Prostatic Disease: A Controlled Pilot Study

Claus Riedl

Subject: Urology And Nephrology, Medicine And Pharmacology Keywords: micronutrients; prostate cancer; PSA dynamics

Online: 31 October 2024 (02:50:43 CET)

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Preprint CASE REPORT | doi:10.20944/preprints202410.2410.v1

Effects of Long-Term Prophylaxis with Bromhexine Hydrochloride and Treatment with High Colchicine Doses of COVID-19

Krasimir Marinov, Tsanko Mondeshki, Hristo Georgiev, Violeta Dimitrova, Vanyo Mitev

Subject: Epidemiology And Infectious Diseases, Medicine And Pharmacology Keywords: COVID-19; Bromhexine, Colchicine; Cytokine storm; Prophylaxis

Online: 31 October 2024 (02:49:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2466.v1

Heterogeneities in Farmers’ Preference for Advisory Services: A Choice Experiment of Vegetable Growers in North-Western Ethiopia

Ermias Tesfaye Teferi, Tigist Damtew Worku, Solomon Bizuayehu Wassie, Bernd Muller, Abdul-Rahim Abdulai, Céline Termote

Subject: Agricultural Science And Agronomy, Biology And Life Sciences Keywords: mobile-based extension service; practice-oriented extension service; random parameter logit; willingness-to-pay; private agricultural advisory; preference heterogeneity

Online: 31 October 2024 (02:48:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2482.v1

The Langmuir Monolayer as a Model Membrane System for Studying the Interactions of Poly(butyl Cyanoacrylate) Nanoparticles with Phospholipids at the Air/Water Interface

Georgi Yordanov, Ivan Minkov, Konstantin Balashev

Subject: Biophysics, Biology And Life Sciences Keywords: Poly(butyl cyanoacrylate) nanoparticles, Pluronic 68, Langmuir monolayers, atomic force microscopy (AFM)

Online: 30 October 2024 (15:52:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2464.v1

Effects of Biological Nitrogen Fixation and Nitrogen Deposition on Soil Microbial Communities in Karst Grassland Ecosystems

Xin Liu, Rong Yang, Jie Zhao, Dan Xiao, Xunyang He, Wei Zhang, Kelin Wang, Hongsong Chen

Subject: Ecology, Environmental And Earth Sciences Keywords: legume plants; nitrogen deposition; soil microbial community; soil microbial phospholipid fatty acid; karst grassland ecosystems

Online: 30 October 2024 (15:37:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2454.v1

Social Return on Investment (Sroi) Evaluation of Citizen’s Advice on Prescription: A Whole Systems Approach to Mitigate Poverty and Improve Wellbeing

Rachel Granger, Ned Hartfiel, Victory Ezeofor, Katharine Abba, Rhiannon Corcoran, Rachel Anderson de Cuevas, Benjamin Barr, Aregawi Gebremedhin Gebremariam, Roberta Piroddi, Clare Mahoney, Mark Gabbay, Rhiannon Tudor Edwards

Subject: Public Health And Health Services, Public Health And Healthcare Keywords: Social Return on Investment (SROI); Citizens Advice; socio-economic deprivation; wellbeing; non-clinical services for health; signposting; advice on prescription

Online: 30 October 2024 (15:15:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2467.v1

Research on Heterogeneous Network Data Fusion based on Deep Learning

ZHUOHUAN HU, Minghao Liu, Lipeng LIU, Lei Fu, Yu Mao, Xirui Tang

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: Heterogeneous Network Data; Data Fusion; Deep Neural Network; Cross-Modal Attention Mechanism

Online: 30 October 2024 (14:50:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2442.v1

The Role Of Psychological Variables In Predicting Rehabilitation Outcomes After Spinal Cord Injury: An Artificial Neural Networks Study

Marta Mascanzoni, Alessia Luciani, Federica Tamburella, Marco Iosa, Emanuela Lena, Sergio Di Fonzo, Valerio Pisani, Lina Di Lucente, Vincenzo Caretti, Lucia Sideli, Gaia Cuzzocrea, Giorgio Scivoletto

Subject: Physical Therapy, Sports Therapy And Rehabilitation, Public Health And Healthcare Keywords: spinal cord injury; functional outcome; psychological variables; artificial neural network

Online: 30 October 2024 (14:37:05 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2445.v1

Genetic Blueprints in Lung Cancer: Foundations for Targeted Therapies

Andra Dan, Livia-Malina Burtavel, Madalin-Codrut Coman, Ina Ofelia Focsa, Simona Duta-Ion, Ioana-Ruxandra Juganaru, Andra-Giorgiana Zaruha, Irina-Maria Strugari, Iulian Andrei Hotinceanu, Patricia-Christina Codreanu, Laurentiu-Camil Bohiltea, Viorica Elena Rădoi

Subject: Oncology And Oncogenics, Medicine And Pharmacology Keywords: lung cancer; NSCLC; SCLC; genetics; pathways; alterations; biomarkers; diagnosis; therapies; personalized medicine

Online: 30 October 2024 (14:34:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2443.v1

Effects of a Floss Band on Ankle Range of Motion, Balance, and Gait in Chronic Stroke: A Randomized Controlled Study

Byoung-Hyoun Moon, Ji-Won Kim

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords:

ankle; balance; chronic stroke patients; floss band; gait; range of motion

Online: 30 October 2024 (14:33:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2440.v1

Non-invasive Monitoring of Cerebral Edema Using Ultrasonic Echo Signal Features and Machine Learning

Shuang Yang, Yuanbo Yang, Yufeng Zhou

Subject: Neuroscience And Neurology, Medicine And Pharmacology Keywords: cerebral edema; ultrasonic echo signal; non-invasive monitoring; machine learning

Online: 30 October 2024 (14:31:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2436.v1

Leveraging Machine Learning for Real-Time Personalization and Recommendation in Airline Industry

Biman Barua, M. Shamim Kaiser

Subject: Computer Science, Computer Science And Mathematics Keywords: Machine Learning; Real-Time Personalization; Travel Industry; Recommendation Systems; Microservices; User Engagement

Online: 30 October 2024 (14:27:26 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2432.v1

Ranking of MCDA Criteria and Methods Used for Selecting Landfill Sites: A Systematic Literature Review

Risete maria Queiroz Leão Braga, Leticia Manuelle Couto de Brito, Samara Avelino de Souza França

Subject: Civil Engineering, Engineering Keywords: site selection; sanitary landfill; AHP; systematic literature review

Online: 30 October 2024 (14:22:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2429.v1

Effects of Various Greenhouse Treatments on Plant Growth and Flowering Characteristics of Oncidesa Cultivar

Chia-Man Chang, Kuan-Hung Lin, Meng-Yuan Huang, Chung-I Chen, Wen-Hung Huang, Ching-Wen Wang

Subject: Other, Physical Sciences Keywords: flowering; Oncidium; light-emitting diode; light spectrum; Orchidaceae; pseudobulb; LED lamps

Online: 30 October 2024 (14:17:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2438.v1

Impact of Telemonitoring and Telehealth Coaching on the General Nutrition Knowledge in Overweight and Obese Individuals: A Pilot Study

Noura MS Eid, Ebtisam A Al-ofi, Sumia Enani, Rana H Mosli, Raneem R. Saqr, Karimah M Qutah, Sara MS Eid

Subject: Public Health And Health Services, Public Health And Healthcare Keywords: general nutritional knowledge; obesity; telenutrition; telemonitoring; telehealth coaching; online nutrition education

Online: 30 October 2024 (14:14:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2451.v1

The Temperature Dependence of the Divergence Pressure

Scott Bair

Subject: Other, Physical Sciences Keywords: high pressure rheology; elastohydrodynamics; pressure-viscosity

Online: 30 October 2024 (14:12:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2455.v1

Tennis Game Dynamic Prediction Model Based on Players’ Momentum

Lechuan Wang, Puning Chen

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: tennis; momentum; quantification; match prediction; XGBoost

Online: 30 October 2024 (14:10:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2441.v1

Involvement of Oxidative Stress in Decreased Number and Motility of Sperm in Men without Obvious Causes for Male Infertility

Linji Chen, Yusaku Mori, Shogo Nishii, Miwa Sakamoto, Makoto Ohara, Shoichi Yamagishi, Akihiko Sekizawa

Subject: Reproductive Medicine, Medicine And Pharmacology Keywords: Advanced glycation end products; Male infertility; Oxidative stress; Spermatozoa

Online: 30 October 2024 (14:05:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2450.v1

Comprehensive Technical Inspection of a Medieval Bridge (Ponte de Vilanova, in Allariz) Using Microtechnological Tools

Rubén Rodríguez Elizalde

Subject: Architecture, Building And Construction, Engineering Keywords: drones; inspection; masonry bridge; underwater inspection; aerial thermography; heritage preservation; old bridge conservation; Allariz; Ponte Vilanova

Online: 30 October 2024 (14:03:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2433.v1

Heritability and Correlation Estimates for Serum Insulin-Like Growth Factor I Concentration, Weight, Weight Gain, and Height in Angus Beef Cattle in a Long-Term Divergent Selection Study for Serum Insulin-Like Growth Factor I (1989 to 2017)

Michael E Davis, Rosalia C. M. Simmen

Subject: Animal Science, Veterinary Science And Zoology, Biology And Life Sciences Keywords: beef cattle; IGF-I; genetic parameters; growth traits

Online: 30 October 2024 (14:02:09 CET)

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This study investigated the genetic parameters for serum IGF-I concentrations and growth traits in beef cattle. A divergent selection experiment for serum IGF-I concentration was initiated in 1989. One hundred spring-calving (50 high line and 50 low line) and 100 fall-calving (50 high line and 50 low line) Angus cows with unknown IGF-I concentrations were randomly assigned to the two divergent selection lines. For the 2009 through 2017 breeding seasons, the selection criterion in the two lines was changed from serum IGF-I concentration to high vs. low maintenance energy expected progeny differences (ME EPD). The number of records available for analysis varied from 2,056 for IGF-I concentration on day 42 of the postweaning performance test to 2,988 for birth weight, with the exception that only 617 records were available for IGF-I concentration at weaning. (Co)variance components were estimated for direct and maternal additive genetic effects using an animal model and multiple-trait, derivative-free, restricted maximum likelihood (MTDFREML) computer programs. Direct heritability estimates for serum IGF-I concentrations ranged from 0.34 ± 0.07 to 0.46 ± 0.07, whereas direct heritability estimates for weight traits ranged from 0.32 ± 0.05 to 0.39 ± 0.07. Maternal genetic effects on IGF-I were minimal, with estimates ranging from 0.02 ± 0.11 to 0.17 ± 0.05, and were similarly low for weight traits. Maternal permanent environmental effects were negligible for IGF-I but were larger for weight traits, especially for weaning weight (0.22 ± 0.04). Direct-maternal correlations for postweaning IGF-I concentrations were approximately -0.90. Genetic correlations of IGF-I concentration at weaning with postweaning IGF-I measures ranged from 0.63 to 0.90. Genetic correlations among IGF-I measures at the postweaning time points were also large (≥ 0.89). The genetic correlations of IGF-I with weight traits were generally low, with negative correlations observed for birth weight and small positive correlations for the other weight traits. Environmental and phenotypic correlations between IGF-I concentrations and growth traits were generally low, indicating that shared environmental influences are minimal and that circulating IGF-I has a modest impact on growth traits in beef cattle.

Preprint REVIEW | doi:10.20944/preprints202410.2446.v1

Guardians of the Genome: Iron-Sulfur Proteins in the Nucleus

Lorena Novoa-Aponte, Andres Leon-Torres, Caroline C. Philpott

Subject: Biochemistry And Molecular Biology, Biology And Life Sciences Keywords: Iron-sulfur cluster; nucleus; iron trafficking; DNA replication; DNA repair

Online: 30 October 2024 (13:54:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2407.v1

The Impact of Sustainable Policies on Subjective Well-Being in a Developing Nation: The Case of Ecuador

W Alejandro Pacheco-Jaramillo, David Zaldumbide

Subject: Economics, Business, Economics And Management Keywords: subjective well-being (I31); sustainability (Q56); poverty (I32); inequality (D63); environmental policy (Q58)

Online: 30 October 2024 (13:51:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2418.v1

Application of ResUNet-CBAM in Thin Section Image Segmentation of Rocks

Ling Zhao, Huili Zhang, Xianda Sun, Chengwu Xu, Xudong Qin

Subject: Computer Vision And Graphics, Computer Science And Mathematics Keywords: ResUNet-CBAM model; attention mechanism; image segmentation; deep learning; rock thin section image

Online: 30 October 2024 (13:49:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2350.v1

Assessment of Spatial Dynamics and Resilience of Forest Cover in Lomami National Park (Drc): Implications for Conservation and Sustainable Ecosystem Management

Gloire Mukaku Kazadi, Médard Mpanda Mukenza, John Kikuni Tchowa, François Malaisse, Célestin Kabongo Kabeya, Jean-Pierre Pitchou Meniko To Hulu, Jan Bogaert, Yannick Useni Sikuzani

Subject: Remote Sensing, Environmental And Earth Sciences Keywords: Primary forest; Spatial structure; Ecosystem conservation; Remote sensing/GIS; Ecological resilience; Land-use planning; Protected area

Online: 30 October 2024 (13:22:27 CET)

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Lomami National Park, located in the Democratic Republic of Congo, is renowned for the integrity of its forest ecosystems, safeguarded by the absence of agricultural activities and limited road access. However, these ecosystems remain under-researched, particularly regarding forest cover dynamics. This research gap poses a significant challenge to establishing rigorous monitoring, which is essential for ensuring the long-term preservation of these valuable ecosystems. This study evaluates land cover dynamics within Lomami National Park through supervised classification of Landsat images from 2008, 2016, and 2024. Seven spatial structure indices were calculated to highlight the dynamics of landscape composition and configuration, distinguishing between the park's core and buffer zones. The underlying spatial transformation processes were identified using a decision tree approach. The results highlight a striking contrast in forest cover stability between Lomami National Park and its surrounding periphery. Within the park, forest cover has not only been preserved but has also shown a modest increase, rising from 92.60% to 92.75%. In contrast, the peripheral zone experienced a significant decline in forest cover, decreasing from 79.32% to 70.48% over the same period. This stability within the park goes beyond simply maintaining forested areas; it includes the preservation and strengthening of the spatial structure of forest ecosystems. For instance, edge density, which is a key indicator of forest edge compactness, remained stable in the park, fluctuating between 8 m/ha and 9 m/ha. However, in the peripheral zone, edge density exceeded 35 m/ha, suggesting that forest edges in the park are considerably more cohesive and intact than in the surrounding areas. Furthermore, the spatial transformation processes within each area underscore these contrasting dynamics. In the park, the main process was aggregation of primary forest patches, which reflects a trend toward continuous and connected forest landscapes. By contrast, the peripheral zone experienced dissection, indicating fragmentation and breakdown of forest patches. Together, these findings underscore the park's role in maintaining both the extent and the structural integrity of forest ecosystems, setting it apart from the more degraded periphery. These findings highlight not only the resilience of forest ecosystems in the face of limited anthropogenic pressures but also the crucial importance of effective land management and rigorous conservation strategies in addressing the challenges of urbanization and surrounding rural expansion. They further emphasize that well-adapted conservation measures, combined with specific demographic and socio-economic conditions, can play a pivotal role in long-term forest preservation and ecological stability.

Preprint ARTICLE | doi:10.20944/preprints202410.2414.v1

A Scalable Fog Computing Solution for Industrial Predictive Maintenance and Customization

Pietro D’Agostino, Massimo Violante, Gianpaolo Macario

Subject: Control And Systems Engineering, Engineering Keywords: Fog Computing; Industrial IoT; Predictive Maintenance; LSTM; Platform Integration; Industrial Application

Online: 30 October 2024 (13:19:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2422.v1

Influence of Digital Games on the Short-Term Memory of University Students

Nuno Cravo Barata

Subject: Psychology, Social Sciences Keywords: short-term memory,; digital games; higher education students; digit memory; superlab 6

Online: 30 October 2024 (13:18:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2439.v1

Blockchain-based Infrastructure Private Financing in the Least Developed Countries: A Conceptual Framework

Erfan Moayyed, Hossein Hosseini Nourzad, Danial Shirazi

Subject: Finance, Business, Economics And Management Keywords: infrastructure projects; least developed countries; blockchain; decentralized autonomous organizations; financial governance

Online: 30 October 2024 (13:18:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2426.v1

Simulating Fractional Stride Decrease in Binary Artificial Neural Networks for Autonomous Spacecraft Systems Using Exponential and Logarithmic Decay: A Comparative Experiment in Energy-Efficient ANN Design

Jonathan Fitzgerald Lancelot

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: artificial neural network; convolutional neural network; artificial intelligence

Online: 30 October 2024 (13:13:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2417.v1

Sensory Health and Universal Health Coverage in Canada

Hanna Asheber, Renu Minhas, Ved Hatolkar, Atul Jaiswal, Walter Wittich

Subject: Public Health And Health Services, Public Health And Healthcare Keywords: Environmental Scan; Vision Care; Hearing Care; Deafblindness; Dual Sensory Loss; Sensory Health; Universal Health Coverage

Online: 30 October 2024 (13:09:40 CET)

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Background/Objectives: The World Federation of the Deafblind Global Report 2023 reports that many countries do not have a comprehensive identification, assessment, and referral system for persons with deafblindness, a combination of hearing and vision loss, across all age groups and geographic regions. The scan seeks to inform researchers, policymakers, and community-based organizations about the status of and gaps in sensory healthcare initiatives in Canada, with intent to raise awareness to enhance integration and coordination of eye and ear care services. Methods: We conducted an environmental scan of Canada’s healthcare system and current public health policies addressing vision and hearing care in Canada at federal and provincial levels. The scan was conducted using published literature searches from five scientific databases – Embase, Medline, PsycINFO, PubMed and CINAHL, in combination with the grey literature review of federal, provincial, and territorial government and non-profit organizations websites during April-October 2022. Out of 1257 articles screened, 82 studies included that met the inclusion/exclusion criteria. 13 reports were included in the grey literature search. Results: Thematic findings indicate stigma and discrimination towards individuals with disabilities and marginalized groups, including hearing, vision, or dual sensory loss, persist. Barriers to vision and hearing healthcare access include inadequate policies, underinvestment in vision and/or hearing services, limited collaboration and coordinated services between hearing and vision services, discrepancies in insurance coverages, and lack of health system support. Conclusions: This scan demonstrates the persistent barriers to vision and/or hearing services present in Canada, stemming from inadequate policy and limited-service coordination. Future work to address gaps, evaluate public education, and develop integrated sensory health care initiatives to enhance coordinate eye and ear care services as recommended in WHO Report on Hearing and Vision is imperative.

Preprint ARTICLE | doi:10.20944/preprints202410.2404.v1

Average Case $(s, T)$-Weak Tractability of $L_2$-Approximation with Weighted Covariance Kernels

Jia Chen, Huichao Yan

Subject: Mathematics, Computer Science And Mathematics Keywords: $L_2$-approximation; weighted covariance kernels; information complexity; $(s,t)$-weak tractability

Online: 30 October 2024 (13:07:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2444.v1

Towards Designing a Set of Usability and Accessibility Heu-ristics focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence

Afra Pascual Almenara, Sergio Sayago Barrantes

Subject: Telecommunications, Engineering Keywords: Artificial Intelligence; Generative AI (GenAI), Accessibility; Heuristic Evaluation; Usability

Online: 30 October 2024 (13:05:38 CET)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202410.2359.v1

Immobilization of Radioactive Waste into Composites Used in the Space Industry

Valeriy Kizka

Subject: Physical Sciences, Space Science Keywords: line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA; ">radioactive powders; radioactive composites; radioactive space probes; radioactive waste; waste disposal

Online: 30 October 2024 (13:03:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2423.v1

Left Ventricular and Atrial Function Analysis following Transcatheter Edge-to-Edge Mitral Valve Repair

Timor Linder, Doron Sudarsky, Liza Grosman-Rimon, Jordan Rimon, Mony Shuvy, Shemy Carasso

Subject: Cardiac And Cardiovascular Systems, Medicine And Pharmacology Keywords: Mitral regurgitation; Transcatheter edge-to-edge mitral valve repair; Left atrium; Speckle tracking echocardiography; Left Ventricle

Online: 30 October 2024 (13:01:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2412.v1

Neuroprotective Effects of Functionalized Hydrophilic Carbon Clusters: Targeted 1 Therapy of Traumatic Brain Injury in an Open Blast Rat Model

Parasuraman Padmanabhan, JIa Lu, Kian Chye Ng, Dinesh Kumar Srinivasan, Kumar Sundramurthy, Lizanne G. Nilewski, William K. A. Sikkema, James M. Tour, Thomas A. Kent, Balázs Gulyás, Jan Carlstedt-Duke

Subject: Neuroscience And Neurology, Biology And Life Sciences Keywords: Traumatic brain injury (TBI); poly-ethylene-glycol-functionalized hydrophilic carbon clusters (PEG-HCCs); biologically compatible carbon-based nanoclusters; open blast rat TBI model

Online: 30 October 2024 (13:01:25 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2430.v1

Coffee: Fuel for Your Day or Foe for Your Arteries

Mabel Buelna-Chontal

Subject: Life Sciences, Biology And Life Sciences Keywords: Cardiovascular disease; Atherosclerosis; Obesity; coffee consumption; Cholesterol

Online: 30 October 2024 (12:05:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2427.v1

Path Planning for Robot Combined with Zero-Shot and Hierarchical Reinforcement Learning in Inexperienced Environments

Liwei Mei, Pengjie Xu

Subject: Robotics, Computer Science And Mathematics Keywords: path planning; zero-shot learning; hierarchical reinforcement learning; adaptive agents

Online: 30 October 2024 (12:04:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2366.v1

Understanding Market Actors’ Perspectives on Agri-Food Data Sharing: Insights from the Digital Food Passports Pilot in Poland

Katarzyna Kosior, Paulina Młodawska

Subject: Economics, Business, Economics And Management Keywords: data sharing; digitalization; agri-food chains; traceability; transparency; sustainability

Online: 30 October 2024 (12:03:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2344.v1

Normative Data of Extended High Frequency Audiometry in Normal Hearing Subjects with Different Aged Groups

Kittiphorn Luengrungrus, Panida Thanawirattananit, Watchareporn Teeramatwanich

Subject: Other, Public Health And Healthcare Keywords: Extended high frequency audiometry; Normative data; Age groups; Normal hearing subjects

Online: 30 October 2024 (12:02:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2382.v1

Computational Fluid Dynamics-Driven Aerodynamic Enhancements for Miniature Car Design and Engineering

Shlaghya Chaturvedi, Ryan Bhatla, Aryash Mullick, Manit Chandwani

Subject: Physical Sciences, Other Keywords: F1 in Schools™; Formula 1; Computational Fluid Dynamics (CFD); AutoCAD; Miniature Car Engineering; Aerodynamics; STEM; Computer-Aided Design (CAD); Flow Simulation; Front Wing Design; Rear Wing Design; Airflow; Drag Force

Online: 30 October 2024 (12:00:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2425.v1

Adaptive Compensatory Neurophysiological Biomarkers of Motor Recovery Post-Stroke: EEG and TMS Insights from the DEFINE Cohort Study

Guilherme Jose Machado Lacerda, Fernanda M Q Silva, Kevin Pacheco-Barrios, Linamara Rizzo Battistella, Felipe Fregni

Subject: Clinical Medicine, Medicine And Pharmacology Keywords: stroke; rehabilitation; motor recovery; upper limb; neural signature; neurophysiological biomarkers; electroencephalography (EEG); resting-state EEG; theta/alpha ratio (TAR); transcranial magnetic sti

Online: 30 October 2024 (11:55:51 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2428.v1

Braf-Mutant Melanomas: Biology and Therapy

Elvira Pelosi, Germana Castelli, Ugo Testa

Subject: Oncology And Oncogenics, Medicine And Pharmacology Keywords: skin tumors; melanoma; BRAF mutations; MAPK; immunotherapy; targeted therapy; genomic profiling; tumor evolution

Online: 30 October 2024 (11:55:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2434.v1

Evolutionary Ensembles of Artificial Agents for Enhanced Mineralogical Analysis

Paolo Dell'Aversana

Subject: Environmental And Earth Sciences, Geochemistry And Petrology Keywords: Deep Learning; Mineral,; Classification; Thin section; Machine Learning; Ensemble

Online: 30 October 2024 (11:53:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.1715.v2

Comparative Secretory Efficiency of Two Chitosanase Signal Peptides from Bacillus subtilis in Escherichia coli

Tae-Yang Eom, Yehui Gang, Youngdeuk Lee, Yoon-Hyeok Kang, Eunyoung Jo, Svini Dileepa Marasinghe, Heung Sik Park, Gun-Hoo Park, Chulhong Oh

Subject: Biochemistry And Molecular Biology, Biology And Life Sciences Keywords: font-family: '바탕',serif; mso-fareast-font-family: HY신명조; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 1.0pt; mso-ansi-language: EN-US; mso-fareast-language: KO; mso-bidi-language: AR-SA; ">signal peptide; chitosanase; recombinant protein; expression; secretion; sec pathway; ">E. coli; ">Bacillus subtilis; "> Cu,Zn-superoxide dismutase

Online: 30 October 2024 (11:48:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2391.v1

Tabular Reinforcement Learning for Reward Robust, Explainable Crop Rotation Policies Matching Deep Reinforcement Learning Performance

Georg Goldenits, Thomas Neubauer, Sebastian Raubitzek, Kevin Mallinger, Edgar Weippl

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: Crop Rotation Planning; Digital Twin; Explainable AI; Reinforcement Learning; Sustainable Agriculture

Online: 30 October 2024 (11:37:51 CET)

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Digital Twins’ design frequently incorporates machine learning and, more recently, deep reinforcement learning techniques in order to interpret data and forecast future outcomes based on incoming data. However, because neural networks are typically considered a ”black box” model, doubts over the reliability of the output from deep learning models continue. In our work, we developed crop rotation policies using explainable tabular reinforcement learning techniques. We created five-step rotations, or a succession of five successive crops, to compare these policies to those produced by a deep Q-learning technique. The purpose of the rotations is to maximize crop yields while upholding prescribed planting guidelines and preserving a healthy amount of nitrogen in the soil. We incorporated phenomena related to weather and price fluctuations into the reward signal to account for the potential impact of external factors on crop production. The deployed explainable tabular reinforcement learning methods outperform the deep Q-learning approach regarding collected rewards when the rewards are not perturbed. For the perturbed case, robust tabular reinforcement learning methods outperform the deep learning approach even more while maintaining human interpretable policies. By consulting with farmers and crop rotation experts, we demonstrate that the derived policies are reasonable to use and more resilient towards external perturbations. Furthermore, the use of interpretable and explainable reinforcement learning techniques increases confidence in resulting policies, thereby increasing the likelihood that farmers will adopt the suggested policies. Digital Twins are often intertwined with machine learning and, more recently, deep reinforcement learning methods in their architecture to process data and predict future outcomes based on input data. However, concerns about the trustworthiness of the output from deep learning models persist due to neural networks generally being regarded as a black box model. In our work, we developed crop rotation policies using explainable tabular reinforcement learning techniques. We compared these policies to those generated by a deep Q-learning approach by generating five-step rotations, i.e. producing a series of five consecutive crops. The aim of the rotations is to maximise crop yields while maintaining a healthy nitrogen level in the soil and adhering to established planting rules. Crop yields may vary due to external factors such as weather patterns or changes in market prices, so perturbations have been added to the reward signal to account for those influences. The deployed explainable tabular reinforcement learning methods collect, on average, at least as much reward over 100 crop rotation plans when randomly starting with any crop compared to the deep learning model. For the perturbed case, robust tabular reinforcement learning methods collect similar amounts of reward across 100 crop rotation plans compared to the non-random reward setting, whereas the deep reinforcement learning agent collects even fewer rewards compared to learning on non-perturbed rewards. By consulting with farmers and crop rotation experts, we demonstrate that the derived policies are reasonable to use and more resilient towards external perturbations. Furthermore, the use of interpretable and explainable reinforcement learning techniques increases confidence in resulting policies, thereby increasing the likelihood that farmers will adopt the suggested policies.

Preprint ARTICLE | doi:10.20944/preprints202410.2386.v1

Foster Grandparent Programs Impact on the Quality-of-Life of Older Adult Volunteers

Anastacia Schulhoff, Alex Dukehart

Subject: Sociology, Social Sciences Keywords: quality of life (QoL); community participation; volunteering; older adults, United States; Foster Grandparent Program

Online: 30 October 2024 (11:37:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2389.v1

Enhancing Privacy-Preserving of Heterogeneous Federated Learning Algorithms Using Data-Free Knowledge Distillation

mohammadreza najafi

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: Federated learning; knowledge distillation; Non-Identical and Independent Distributions; data reconstruction attacks; Dual Decomposition Optimization

Online: 30 October 2024 (11:37:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2373.v1

Investigation on the Coordination Bonding Nature of Actinide-Doped Endohedral Borospherenes An@B400/+/- (An = U, Np, Pu, Am, Cm)

Xiao-Ni Zhao, Zhi-Hong Wei, Si-Dian Li

Subject: Theoretical Chemistry, Chemistry And Materials Science Keywords: Actinides; Metallo-Borospherenes; First-Principles Theory; Structures; Coordination Bonding Patterns

Online: 30 October 2024 (11:37:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2381.v1

Antimicrobial Resistance in Lactococcus spp. Isolated from Native Brazilian Fish Species: A Growing Challenge for Aquaculture

Angélica Emanuely Costa do Rosário, Angelo Carlo Chaparro Barbanti, Helena Caldeira Matos, Cynthia Rafaela Monteiro da Silva Maia, Júlia Miranda Trindade, Luiz Fagner Ferreira Nogueira, Fabiana Pilarski, Silvia Umeda Gallani, Carlos Augusto Gomes Leal, Henrique César Pereira Figueiredo, Guilherme Campos Tavares

Subject: Animal Science, Veterinary Science And Zoology, Biology And Life Sciences Keywords: disk diffusion; epidemiological cut-off values; fish; piscine lactococcosis

Online: 30 October 2024 (11:37:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2383.v1

Design and Rapid Prototyping of Deformable Rotors for Amphibious Navigation in Water and Air

Chengrong Du, Dongbiao Zhao

Subject: Mechanical Engineering, Engineering Keywords: aerial-aquatic propeller; deformable propeller; mechanism design; fast prototype

Online: 30 October 2024 (11:37:06 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2416.v1

Electroencephalogram (EEG) in ADHD: A Comprehensive Systematic Review of Diagnostic and Therapeutic Applications

Marcos Altable, Emilio Díaz-Moreno, Federica Fulgheri

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: ADHD; EEG; neurofeedback; biomarkers; clinical diagnosis; impulsivity; hyperactivity; neurophysiology

Online: 30 October 2024 (11:36:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2356.v1

Obsessive-Compulsive Disorder with Religious Focus: A Observational Study

Wissam Al Rida Ayoub, Jana Dib El Jalbout, Nancy Maalouf, Samar S Ayache, Moussa A. Chalah, Ronza Abdel Rassoul

Subject: Psychiatry And Mental Health, Medicine And Pharmacology Keywords: obsessive-compulsive disorder; religiosity; religious obsessions; spirituality

Online: 30 October 2024 (11:36:37 CET)

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(1) Background: Obsessive-Compulsive Disorder (OCD) is a psychiatric disorder with poorly detailed subtypes/dimensions, such as religious OCD (ROCD). To date, little is known about ROCD characteristics. This work aimed to describe the sociodemographic and clinical characteristics, as well as the religiosity and spirituality among Lebanese Muslim citizens diagnosed with OCD and exhibiting religious symptoms. (2) Methods: Outpatients were enrolled according to the following inclusion criteria: 18 years of age or above, diagnosis of OCD, presence of religious symptoms, and ability to read and understand the questionnaire. Exclusion criteria were as follows: other psychiatric disorders, and cognitive or physical impairments preventing participation. They filled in a questionnaire including the 25-item Arabic Scale of Obsessions and Compulsions (10 questions addressing obsessions, 10 questions addressing compulsions and five filler items, all of which rated on a 4–point Likert scale; higher total scores indicating increasing severity), the 26-item Spiritual Involvement and Beliefs Scale (rated on a 5-point Likert scale; higher scores indicating higher spirituality), and questions assessing the sociodemographic, clinical, and religiosity variables. (3) Results: Fifty adults (62% females, 52% aged between 18-29 years) completed the study. They had mild (26%), moderate (48%) and severe (26%) OCD symptoms. The majority had a family history of psychiatric disorders (48% OCD) and reported traumatic life events (58%). The majority attended religious school at least at one point in their life and described moderate to very high degree of self-religiosity and parental religiosity. Group comparisons (patients with mild vs. moderate vs. severe OCD symptoms) showed significant differences with regards to family history of psychiatric disorders (p=0.043), frequency of self-questioning if praying correctly (p=0.005), higher rating of partial ablution repetition (p=0.006), and frequency of partial ablution repetitions (p=0.041). No significant groups differences were noted with regards to sociodemographic or spirituality outcomes (4) Conclusion: Some religiosity variables (thoughts and practices) seem to be associated with OCD severity. The current results support the need for further research pertaining to ROCD.

Preprint ARTICLE | doi:10.20944/preprints202410.2394.v1

Deep Retrofitting Study of Government Buildings in the UAE

Hanan M. Taleb, Nada Chami, Mays Kayed, Ioannis Spanos, Hassan Kamal, Hanin Hamdan, Nilesh Deshpande

Subject: Architecture, Building And Construction, Engineering Keywords: Building retrofit; energy consumption; carbon emissions; Government buildings; UAE; IES software

Online: 30 October 2024 (11:36:28 CET)

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This report summarizes the findings of a deep retrofitting modelling study of four government buildings across the UAE. Buildings envelope assessment, HVAC, and electrical systems design, installed conditions, maintenance practices and operation methods, and rigorous engineering analysis has been performed for the four buildings to produce calibrated energy models that confirm a good correlation between actual annual energy consumption and advanced simulated energy modeling results. IES-VE software, ASHRAE Guideline 14, and IPMVP were the basis of the energy model calibration based on actual data. Energy retrofitting options were applied to the calibrated energy models of the four government buildings where advanced computational modeling studies have been utilized to analyze different thermal envelope components and external fabric energy efficiency measures in conjunction with the actual HVAC systems. The results have shown that it may be financially challenging to implement a single envelope retrofitting measure on any of the four buildings due to high payback periods. Nevertheless, when conducting an optimization through a holistic building approach targeting the overall envelope enhancements, the financial modeling results provide significantly improved and provide reduced payback periods of the solutions, making them more attractive to investors. Based on the energy modeling results and the cost of the various proposed building envelope solutions provided by Saint-Gobain, the payback period in all cases varies between 15 to 20 years. However, huge savings in terms of carbon emissions are achieved by implementing the deep retrofitting measures, crucial to achieving carbon neutrality within the UAE built environment. Deep retrofitting is a promising segment of the execution roadmap as part of the UAE's decarbonization journey; even though it is capital-intensive upfront, it has a major impact on long-term operational savings. Moreover, it is often more cost-effective than building new and energy-efficient structures from scratch. The findings indicate that deep retrofitting can be a techno-financially viable solution if it is well-planned during major refurbishment or as part of building maintenance. It has significant potential to reduce carbon emissions while also providing a range of benefits such as operational cost savings, improved thermal comfort – a feature which has a direct impact on perceived efficiency and productivity at work, indoor air quality, improved asset value, reputational enhancement, and better choice for environmentally-cautious tenants or buyers.

Preprint REVIEW | doi:10.20944/preprints202410.2357.v1

Adult Hippocampal Neurogenesis and Temporal Lobe Epilepsy: A Potential Key to Understanding Cognitive Deficit

Rúbia Aparecida Fernandes, Matheus Silva de Oliveira, Olagide Wagner de Castro, Victor Rodrigues Santos

Subject: Neuroscience And Neurology, Biology And Life Sciences Keywords: Abnormal Hippocampal Neurogenesis; Pattern Separation; Pattern Completion; Comorbidity; Memory decline.

Online: 30 October 2024 (11:36:20 CET)

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Contrary to a prevailing dogma in twentieth-century neuroscience, emerging evidence suggests that the generation of new neurons continues throughout life, contributing significantly to crucial life functions owing to their robust ability to enhance neuroplasticity. Hippocampal neurogenesis occurs in the subgranular layer of the dentate gyrus, a region characterized by a specific microenvironment conducive to the proliferation of neuronal cells. A substantial body of evidence supports the belief that this phenomenon impacts various functions, including learning, emotional responses, and the formation of new memories. Diseases affecting these areas can significantly disrupt cognition and general behavior. For instance, in mesial temporal lobe epilepsy, aberrant neurogenesis has been observed, leading to increased cell proliferation, altered patterns of cellular integration, errors in information processing, and the formation of abnormal synaptic connections and transmissions. These abnormalities have the potential to generate epileptic seizures, underscoring the profound impact of these diseases on cognitive functions. Conversely, the chronic recurrence of seizures, can result in chronic recurrence of seizures, which can lead to a persistent reduction of neurogenesis in the epileptic brain. This reduction directly impacts various learning processes and the formation of hippocampus-dependent declarative memory. The mechanisms behind these processes remain fully elucidated and involve the delicate balance between neuronal excitation and inhibition, directly influencing brain performance and potentially leading to a decline in cognitive functions. In mesial temporal lobe epilepsy, this condition stands out as one of the most severe disorders affecting the well-being of epileptic patients. While memory is highlighted as one of the most affected functions, it is not the sole cognitive function compromised by this comorbidity. The alterations can extend from language to executive and spatial functions.

Preprint ARTICLE | doi:10.20944/preprints202410.2369.v1

Job stress, working capacity, professional performance and safety of shift workers at forest harvesting in the North

Yana Korneeva, Nina Shadrina, Natalia Simonova, Anna Trofimova

Subject: Public, Environmental And Occupational Health, Public Health And Healthcare Keywords: job stress; professional performance; professional safety; forest harvesting; shift method; forest mechanization

Online: 30 October 2024 (11:36:13 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2387.v1

Stereographic Projection of Bloch Sphere and Quantum Error Correction

Unnathi Venkatesh

Subject: Geometry And Topology, Computer Science And Mathematics Keywords: Stereographic Projection; Bloch Sphere

Online: 30 October 2024 (11:36:05 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2413.v1

Time-Refraction and Spacetime Optics

José Tito Mendonça

Subject: Optics And Photonics, Physical Sciences Keywords: temporal optics; photonics; spacetime symmetries; metamaterials; time-crystals

Online: 30 October 2024 (11:35:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2364.v1

The Toxic Legacy of Nickel Production and Its Impact on Environmental Health

Jana Levická, Monika Orliková

Subject: Other, Social Sciences Keywords: Sered nickel smelter; toxic leaching residue landfill; environmental health

Online: 30 October 2024 (11:35:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2390.v1

Automating the Creation of Ship Hull & Lines Plan from Offset Table Using Grasshopper

MD. Rokibul Hasan

Subject: Marine Engineering, Engineering Keywords: Automation; Offset Table; Parametric; Grasshopper; Lines plan

Online: 30 October 2024 (11:35:24 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202410.2374.v1

Pano-GAN: A Generative Model for Panoramic Dental Radiographs

Søren Pedersen, Sanyam Jain, Mikkel Chavez, Viktor Ladehoff, Bruna Neves de Freitas, Ruben Pauwels

Subject: Dentistry And Oral Surgery, Medicine And Pharmacology Keywords: Dental Radiography; Panoramic Radiography; Deep Learning; Artificial Intelligence; Generative Adversarial Networks

Online: 30 October 2024 (11:35:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2384.v1

To What Extent Does General Relativity Provide Generalization?

İNANÇ ŞAHİN

Subject: Theoretical Physics, Physical Sciences Keywords: Foundations of general relativity; Equivalence principle; Uniﬁed ﬁeld theory

Online: 30 October 2024 (11:35:02 CET)

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In this paper we discuss whether Einstein’s initial expectations before he developed the theory of general relativity were fulﬁlled and whether general relativity fully satisﬁed him in this respect. Einstein employed the equivalence principle as a guiding principle in the development of general relativity. We follow Einstein’s historical reasoning on the equivalence principle by adopting a dynamical approach to relativity and question the theory of general relativity he arrived at in terms of his initial expectations. The key issue here is related to the interpretation of gravitational and inertial “ﬁelds” in the equivalence principle. Einstein spoke of the identity of these two notions. This reveals that his intention was to unify gravitation and inertia. In fact, the issue is also related to the extent of generalisation provided by general relativity. Einstein demands a strong generalization in general relativity that requires the equality of all frames, including accelerating frames, in the same way that the relative character of velocity provides in special relativity. However, general relativity does not provide such a strong generalisation as expected from it. Furthermore, in general relativity, the gravitational ﬁeld is reduced to inertia, but the two are not fully uniﬁed. We therefore argue that Einstein’s initial expectations of general relativity were not met and that the theory did not fully satisfy him. Nevertheless, we show that there is a satisfactory way out. On the basis of some heuristic arguments, we demonstrate that if gravitational and non-gravitational interactions are uniﬁed into a single elementary interaction at the most fundamental level in nature, then inertia and gravitation are fully uniﬁed and the strong generalisation being sought can be obtained. We speculate that Einstein was well aware of this fact and one of his motivations (perhaps the most important one) in his long search for a uniﬁed ﬁeld theory was an attempt to fulﬁll his initial expectations about general relativity.

Preprint ARTICLE | doi:10.20944/preprints202410.2405.v1

Notes on Cooperstein Ovoids in Finite Geometries of Type E_{6,1}(q)

Hendrik Van Maldeghem

Subject: Discrete Mathematics And Combinatorics, Computer Science And Mathematics Keywords: Exceptional geometry of type E6; Hoffman bound; ovoid; polarity

Online: 30 October 2024 (11:34:37 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2360.v1

Evaluating and Reforming India’s Educational System: Challenges and Solutions

Pradipta Kumar satapathy, Bijayani Dash, Anshuman Satpathy

Subject: Education, Social Sciences Keywords: Indian educational system; Structural and systemic challenges; Equitable access to quality education; Outdated curricula Contemporary skills; Socio-economic disparities; Teacher training; infrastructure deficiencies; Rural and economically disadvantaged

Online: 30 October 2024 (11:34:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2372.v1

The Rich Diversity of Brazilian Reptiles: Historical Research Centers and Ecological Adaptations Across Biomes

Richard Murdoch Montgomery

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: Brazilian reptiles, Ecological Adaptations, Biomes, Butantan Institute

Online: 30 October 2024 (11:34:20 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2062.v2

Advancements in Automation & Parametric Modeling in Ship Design: Review of Current Technologies

MD. Rokibul Hasan

Subject: Marine Engineering, Engineering Keywords:

Parametric; Ship Design; Automation; Generative AI

Online: 30 October 2024 (10:41:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2326.v1

CCW-YOLO: A Modified YOLOv5s Network for Pedestrian Detection in Complex Traffic Scenes

Zhaodi Wang, Shuqiang Yang, Huafeng Qin, Yike Liu, Jinyan Ding

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: pedestrian detection; traffic scene; YOLO neural network; Coordinate Attention

Online: 30 October 2024 (10:41:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2351.v1

Analyzing Archive Transit Multibeam Data for Nodule Occurrences

Mark Edward Mussett, David F. Naar, David W. Caress, Tracey A. Conrad, Alastair G.C. Graham, Max Kaufmann, and Marcia Maia

Subject: Oceanography, Environmental And Earth Sciences Keywords: Multibeam echosounder; Backscatter; Polymetallic nodules; Benthic habitat mapping; Angular response

Online: 30 October 2024 (10:41:02 CET)

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We show that analyzing archived and future multibeam backscatter and bathymetry data, in tandem with regional environmental parameters, can help identify polymetallic nodule fields in the world’s oceans. Extensive archived multibeam transit data through remote areas of the world’s oceans are available for data mining. New multibeam data will be made available through the Seabed 2030 Project. Uniformity of along and across track backscatter, backscatter intensity, angular response, water depth, nearby ground-truth data, and local slope, sedimentation rate, and seafloor age provide thresholds for discriminating areas permissive for nodule presence. A case study of this methodology is presented using archived multibeam data from a remote section of the South Pacific along the Foundation Seamounts between the Selkirk paleomicroplate and East Pacific Rise that were collected in 1997 during the Hotline cruise. The 12 kHz Simrad EM12 DUAL multibeam and the forementioned data strongly suggest a previously unknown nodule occurrence exists. Methods include comparing analyses using three different backscatter products to further determine if scanned backscatter products, rather than primary digital multibeam files can be used for analysis, and comparing results from using digitized 8-bit images, or 8-bit and decibel-value surfaces derived from the MB-SystemTM software. We show this expeditious analysis of broad areas of multibeam data could characterize benthic habitat types efficiently in remote deep ocean areas prior to more time consuming and expensive video and sample acquisition surveys. Additionally, utilizing software other than specialty sonar processing programs during this research explores how multibeam data products could be interrogated by a broader range of scientists and data users. Future mapping, video, and sampling cruises in this area would test our prediction and investigate how far it might extend to the north and south.

Preprint ARTICLE | doi:10.20944/preprints202404.1009.v7

Deriving Fundamental Physics via Entropy Maximization under a Universal Measurement Constraint

Alexandre Harvey-Tremblay

Subject: Quantum Science And Technology, Physical Sciences Keywords: foundations of quantum physics

Online: 30 October 2024 (10:40:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2424.v1

Dry Wipes for Hygiene in Hospitalized Patients: Economic and Environmental Impact, and Patient and Professional Satisfaction

Laia Castellà, Laura Ricou, Eduardo Calderon Colldeforn, Francesc López Seguí, Dina Reina Sarrió, Arnau Pons Calsapeu, Irma Casas, Lluís Subirana Milian, Montserrat Giménez, Nieves Sopena, Marina Perpiñan Grogues, Yolanda Sanz Escudero, Angels Barberà Plà, Oriol Estr, Maria José García Quesada

Subject: Nursing, Public Health And Healthcare Keywords: disposable wipes; hygiene satisfaction; cost-effectiveness; economic evaluation; healthcare-associated infections; cost analysis; environmental impact

Online: 30 October 2024 (10:40:01 CET)

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Aims: To compare traditional versus dry wipes hygiene in hospitalized, bedridden patients with regard to economic and environmental impact and patient and professional satisfaction. Background: Evidence shows that dry hygiene with disposable wipes can reduce the risk of infection compared to traditional hygiene with soap and water. However, there is a need to compare the costs and environmental impact (waste) between the two methods. Design: Environmental impact and patient and user satisfaction were assessed through an ad hoc survey and cost minimization analysis in accordance with the Consolidated Health Economic Evaluation Reporting Standards. Methods: The environmental impact and costs associated with traditional versus dry hygiene were compared in an observational analysis. A single-center, randomized controlled trial was performed in a tertiary hospital to assess patient and professional satisfaction in patients with a urinary catheter recovering from heart surgery between January 2019 and February 2020. Results: Direct hygiene costs were similar using traditional (€15.82) and dry (€14.35) methods. However, the analysis of indirect costs, including those related to the probability of contracting catheter-associated urinary tract infections, showed that the total cost per hygiene session was €1345 higher with the traditional method. When using a high-efficiency energy system from a guaranteed renewable source, dry hygiene does not lead to a higher environmental impact (220.07 g CO2 traditional vs. 215.17g CO2 dry). However, emissions from conventional energy systems are 840.14 g CO2 higher when using traditional hygiene. Both patients and professionals express greater satisfaction with the dry method. Conclusion: Dry hygiene is not inferior to traditional hygiene in terms of satisfaction, and it can provide environmental benefits at a significantly lower cost. Implications for the profession and/or patient care: This study provides evidence supporting the introduction of the dry hygiene method, with is associated with higher user and professional satisfaction, lower economic cost, and similar or lower environmental impact compared to soap and water.

Preprint ARTICLE | doi:10.20944/preprints202410.2355.v1

Comparative Analysis of LSTM and Traditional Time Series Models on Oil Price Data

Michael Brown, Emily Chen, Sophia Lee, James Taylor, Anna Kim, Robert Johnson

Subject: Other, Computer Science And Mathematics Keywords: ARIMA; LSTM; Oil Prices Prediction

Online: 30 October 2024 (10:38:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2348.v1

Effect of the Association of Standardized Extracts of Cannabis sativa L. (CBD) with Bixa orellana L. (Chronic® and Chronic In®) on Pain Models in Wistar Rats

Alicia de Melo Santos, Helison de Oliveira Carvalho, Danna Emanuelle Santos Gonçalves, Luciana Paes Gomes, Nayara Nílcia Dias Colares, Abrahão Victor Tavares de Lima Teixeira dos Santos, Adrielly Yasmin Sousa dos Santos, Thiago Afonso Teixeira, José Carlos Tavares Carvalho

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: Cannabis sativa; Bixa orellana; Nanodispersion; Granules; Analgesia

Online: 30 October 2024 (10:37:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2315.v1

Pan African Vivax and Ovale Network (PAVON) Malaria Diagnostic Competency Training: Offering Training Opportunities to Impact Malaria Elimination Strategies in Sub-Saharan Africa

Amidou Diarra, John Ayivase, Dolen Goitseone Mompati, Issiaka Soulama, Mamoudou CISSE, Nancy O Duah-Quashie, Ben Gyan, Anthony Z Dongdem, Wisdom K Takramah, Grace K Ababio, Claude Oeuvray, James Mulry, Beatrice Greco, Jutta Reinhard-Rupp, Isaac K. Quaye

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: microscopy competency; malaria diagnosis; diagnostic capacity

Online: 30 October 2024 (10:37:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2346.v1

Exploring Determinants and Predictive Models of Latent Tuberculosis Infection Outcomes in Rural Areas of the Eastern Cape: A Pilot Comparative Analysis of Logistic Regression and Machine Learning Approaches

Lindiwe Modest Faye, Cebo Magwaza, Ntandazo Dlatu, Teke Apalata

Subject: Public Health And Health Services, Public Health And Healthcare Keywords: Latent Tuberculosis Infection; Logistic Regression; Machine Learning; Random Forest; Public Health; LTBI Awareness; Predictive Modeling

Online: 30 October 2024 (10:36:52 CET)

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Latent Tuberculosis Infection (LTBI) poses a significant public health challenge, especially in populations with high HIV prevalence and limited healthcare access. Early detection and targeted interventions are essential to prevent the progression of active tuberculosis. This study develops predictive models for LTBI outcomes using logistic regression and machine learning approaches and evaluates strategies to improve LTBI awareness and testing. Data from rural areas in the Eastern Cape, South Africa, were analyzed to identify key demographic, health, and knowledge-related factors influencing LTBI outcomes. Logistic regression was employed to pre-dict LTBI positivity based on factors such as age, education, and HIV status. Machine learning models, including decision trees and random forests, were also applied to compare predictive accuracy. A knowledge diffusion model was used to assess the impact of educational interventions on increasing LTBI awareness and testing rates. Logistic regression achieved an accuracy of 66.67% with high precision (80%) but low recall (33%) for LTBI-positive cases, identifying age, HIV status, and LTBI awareness as significant predictors. The random forest model outperformed logistic regression in accuracy (59.26%) and F1-score (0.63), providing a better balance between precision and recall. Feature importance analysis revealed that age, occupation, and knowledge of LTBI symptoms were the most critical factors across both models. The knowledge diffusion model demonstrated that targeted interventions significantly increased LTBI awareness and testing, particularly in high-risk groups. While logistic regression offers more interpretable results for public health interventions, machine learning models like random forests provide enhanced predictive power by capturing complex relationships between demographics and health factors. These findings highlight the need for targeted educational campaigns and increased LTBI testing in high-risk populations, particularly those with limited awareness of LTBI symptoms.

Preprint ARTICLE | doi:10.20944/preprints202410.2361.v1

A PMBM Forward-Backward Smoother for Multiple Extended Targets

Xingxiang Xie, Kai Tian, Zhumei Song, Kening Li

Subject: Signal Processing, Computer Science And Mathematics Keywords: Poisson multi-Bernoulli mixture; forward-backward; smoother; random finite sets; extended target tracking

Online: 30 October 2024 (10:35:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2328.v1

Future-Oriented Nanosystems Composed of Polyamidoamine Dendrimer and Biodegradable Polymers as Anticancer Drug Carrier for Targeted Treatment

Katarzyna Strzelecka, Adam Kasiński, Tadeusz Biela, Anita Bocho-Janiszewska, Anna K. Laskowska, Łukasz Szeleszczuk, Maciej Gawlak, Marcin Sobczak, Ewa Oledzka

Subject: Nanotechnology, Chemistry And Materials Science Keywords: nanopharmacy; camptothecin; PAMAM dendrimer; biodegradable polyesters; controlled drug delivery systems; targeted therapy

Online: 30 October 2024 (10:35:07 CET)

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Background/Objectives: Camptothecin (CPT) is a well-known chemical compound recognized for its significant anticancer properties. However, its clinical application remains limited due to challenges related to CPT’s high hydrophobicity and the instability of its active form. To address these difficulties, our research focused on the development of four novel nanoparticulate systems intended for either oral or intravenous administration; Methods: These nanosystems were based on a poly(amidoamine) (PAMAM) dendrimer/CPT complex, which had been coated with biodegradable homo- and copolymers, designed with appropriate physicochemical properties and chain microstructures; Results: The resulting nanomaterials, with diameters ranging from 110 to 406 nm and dispersity values between 0.10 and 0.67, exhibited a positive surface charge and were synthesized using biodegradable poly(L-lactide) (PLLA), poly(L-lactide-co-ε-caprolactone) (PLACL), and poly(glycolide-co-ε-caprolactone) (PGACL). Biological assessments, including cell viability and hemolysis tests, indicated that all polymers demonstrated less than 5% hemolysis, confirming their hemocompatibility for potential intravenous use. Furthermore, fibroblasts exposed to these matrices showed concentration-dependent viability. The entrapment efficiency (EE) of CPT reached up to 27%, with drug loading (DL) values as high as 17%. The in vitro drug release studies lasted over 400 h with the use of phosphate buffer solutions at two different pH levels, demonstrating that time-dependent processes allowed for a gradual and controlled release of CPT from the developed nanosystems. The release kinetics of the active compound at pH 7.4 ± 0.05 and 6.5 ± 0.05 followed near-first-order or first-order models, with diffusion and Fickian/non-Fickian transport mechanisms. Importantly, the nanoparticulate systems enabled the stabilization of the pharmacologically active form of CPT, while providing protection against hydrolysis, even in physiological environments; Conclusions: In our opinion, these results underscore the promising future of biodegradable nanosystems as effective drug delivery systems (DDSs) for targeted cancer treatment, offering stability and efficacy over short, medium, and long-term applications.

Preprint ARTICLE | doi:10.20944/preprints202410.2339.v1

Next Generation Sequencing of Chinese Children with Congential Hearing Loss Reveals Rare and Novel Variants in Known and Candidate Genes

Yu Sun, Wei Chen, Yuan Jin, Xiaozhou Liu, Qiong Zhang, Ying Xiong, Yao Hu, Haixia He

Subject: Otolaryngology, Medicine And Pharmacology Keywords: congential hearing loss; congential deafness; etiology; gene diagnosis

Online: 30 October 2024 (10:31:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0370.v3

Introduction to the E-Sense Artificial Intelligence System

Kieran Greer

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: brain model; memory model; neural model; cortex; statistical clustering

Online: 30 October 2024 (10:29:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0399.v79

15 Evidences That the Scope of Special/General Relativity Is Limited

Markolf H. Niemz

Subject: Theoretical Physics, Physical Sciences Keywords: spacetime; cosmology; dark energy; quantum mechanics; entanglement; non-locality

Online: 30 October 2024 (10:28:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2406.v1

Ethical Decision-Making in Artificial Intelligence: A Logic Programming Approach

José Machado, Regina Sousa, Hugo Peixoto, António Abelha

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: n/a; Computational Ethics; Logic Programming; Artificial Moral Ethics; Moral Agents

Online: 30 October 2024 (10:03:02 CET)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202410.2408.v1

Breast Cancer Analysis Using Deep Learning Techniques a Survey

koushalya s, Dr Baulkani s

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: Breast Cancer Detection; Deep Learning; Mammography Data Analysis; Medical Imaging; Image Segmentation

Online: 30 October 2024 (10:01:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2402.v1

Knowledge Assessment of Hospital Nursing Staff Regarding Clostridioides difficile Infection

Abdulrhman Albougami, Saeed S Banawas

Subject: Nursing, Public Health And Healthcare Keywords: Clostridioides difficile; cross-sectional survey; infection diseases; medical laboratory; nurses; spore-forming bacillus

Online: 30 October 2024 (10:00:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2420.v1

Smart Agriculture Practices for Climate Change Relief: Insights from Smallholder Farmers in Bushbuckridge, South Africa

Isaac Azikiwe Agholor, Moses Zakhele Sithole, Mishal Trevor Morepje, Shalia Matilda Ndlovu, Nomzamo Sharon Msweli, Variety Nkateko Thabane, Lethu Inneth Mgwenya

Subject: Agricultural Science And Agronomy, Biology And Life Sciences Keywords: climate smart; agriculture; decisions; adoption; climate mitigation; determinants; constraints ;

Online: 30 October 2024 (09:59:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2365.v1

The Importance of Solving Subglaciar Hydrology in Modeling Glacier Retreat: A Case of Study for Hansbreen, Svalbard

Eva De Andrés, José Manuel Muñoz-Hermosilla, Kaian Shahateet, Jaime Otero

Subject: Geophysics And Geology, Environmental And Earth Sciences Keywords: Tidewater glacier modeling; subglacial discharge; frontal ablation; calving; submarine melting

Online: 30 October 2024 (09:59:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2352.v1

Plasma Functional Proteins: A Sustainable Solution to Reduce Postweaning Diarrhea Without Compromising Piglet Growth

Javier Polo, Yanbin Shen, Laia Blavi, Laia Sobrevia, Simon Tibble, Joe Crenshaw, Núria Tous, David Torrallardona

Subject: Animal Science, Veterinary Science And Zoology, Biology And Life Sciences Keywords: Low protein diets; Nursery diets; Spray-dried plasma; Zinc Oxide alternative; Sustainable pig farming; Circular economy; Feed efficiency

Online: 30 October 2024 (09:55:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2363.v1

Identification of a Novel Conserved Antigenic Epitope by Specific Monoclonal Antibodies Targeting the African Swine Fever Virus Capsid Protein p17

Nengwen Xia, Qi Cao, Anjing Liu, Jiajia Zhang, Hongjian Han, Jun Jiao, Ping He, Ziyan Sun, Zijian Xu, Wanglong Zheng, Sen Jiang, Nanhua Chen, Jianfa Bai, Jianzhong Zhu

Subject: Animal Science, Veterinary Science And Zoology, Biology And Life Sciences Keywords: African swine fever virus; p17; monoclonal antibody; epitope; diagnosis

Online: 30 October 2024 (09:50:09 CET)

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Preprint REVIEW | doi:10.20944/preprints202410.2379.v1

Polymeric Composites Reinforced with Amazonian Agro-Extractive and Timber Industry Residues: A Sustainable Approach to Enhancing Material Properties and Promoting Bioeconomy

Odilon Leite-Barbosa, Claúdia Carnaval de Oliveira Pinto, Jôse Maria Leite-da-Silva, Erick Max Mourão Monteiro De Aguiar, Valdir Florencio Veiga-Junior

Subject: Polymers And Plastics, Chemistry And Materials Science Keywords: Amazonian residues; lignocellulosic materials; bioactive compounds; polymeric composites; timber industry; agro-extractive industry; sustainability; circular economy; mechanical properties

Online: 30 October 2024 (09:48:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2358.v1

Data-driven Maturity Level Evaluation for Cardiomyocytes derived from Human Pluripotent Stem Cells (Invited Paper)

Yan Hong, Xueqing Huang, Fang Li, Siqi Huang, Qibiao Weng, Diego Fraidenraich, Ioana Voiculescu

Subject: Cell And Developmental Biology, Biology And Life Sciences Keywords: Cardiovascular diseases; hPSC-CM maturity; gene expression,; cardiac gene selection; culture time prediction

Online: 30 October 2024 (09:45:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2377.v1

Interplay of Spin Nernst Effect and Entanglement Negativity in Layered Ferrimagnets: A Study via Exact Diagonalization

Leonardo Lima

Subject: Physical Sciences, Quantum Science And Technology Keywords: entanglement negativity; spin Nernst coefficient; exact diagonalization

Online: 30 October 2024 (09:37:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2368.v1

Statistics for Hidden Markov Models

Ziqian Huang, Stanley L. Sclove

Subject: Econometrics And Statistics, Business, Economics And Management Keywords: Hidden Markov Model; Time series segmentation

Online: 30 October 2024 (09:34:19 CET)

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This chapter discusses stochastic processes known as "hidden Markov models". In these models, there are states or phases. In applications to statistical process control, for example, the states could correspond to "in control" or "out of control". In applications to the market and the economy, there are states of the market conventionally called "Bull" and "Bear", for up and down markets, resp. The states of the economy are often referred to as recession, recovery, expansion, contraction. Questions arise as to how many such states to use, and whether the nature of the states detected by statistical methods correspond to conventional notions about the phases of the market or the economy. The models considered involve a bivariate time series {Yt, St}; where Y is observed and S is the state, or label. "Hidden" means that the state is unobserved and must be inferred. For example, Yt may be the rate of return (ROR) of the S&P 500 index in month t and St may be 1 or 0, for Bull or Bear for that month. One definition of Bull and Bear is that St = 1 if the ROR Yt > 0 and St = 0; otherwise. In that case, St is directly derivable from the data. In other cases, the labels are unobserved and then are estimated from the observed process by more complicated means. The act of estimating St for each t, that is, labeling each time point of a time series with the name of its estimated state, is called time series segmentation, sequences of 0s or 1s being called segments. Thus a segment (regime, epoch) is a sequence of time points with the same label. Some definitions of phases are in terms of patterns; others are obtained in terms of fitting models in which the states are explicit elements of the model, albeit unobservable. Patterns are considered first, and then hidden state models. Use of model selection criteria for choosing between alternative models is illustrated. For example, it was found that for the stock market use of two states (corresponding to Bull and Bear) is indeed better than three states or a single state.

Preprint ARTICLE | doi:10.20944/preprints202410.2392.v1

Mathematical Modeling of Load Capacity and Durability of Metal-Polymeric Bearings with a Composite Bushing Based on Polyamides, Polytetrafluoroethylenes, Polyetheretherketones, or Polyethylene Terephthalates

Myron Czerniec, Jerzy Czerniec, Jarosław Zubrzycki

Subject: Mechanical Engineering, Engineering Keywords: metal-polymer plain bearings; analytical method; polymeric materials for tribological purposes; dry friction; maximum contact pressures; durability

Online: 30 October 2024 (08:52:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2403.v1

SIT-Conversion: Transformer Spiking Neural Networks with Spiking-Softmax Function

Xuhang Li, Qianzi Shen, Haitao Wang, Zijian Wang

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: spiking neural networks; ANN-to-SNN conversion; SNNs transformer; spiking softmax ;

Online: 30 October 2024 (08:45:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2232.v1

Performance Simulation and Optimization of Cylindrical Mirror Spliced Parabolic Trough Solar Collector

Bowen Liu, Vian Mbabazi, Weidong Huang

Subject: Energy And Fuel Technology, Engineering Keywords: spliced cylindrical mirror; trough solar system; concentration ratio; solar energy; spherical aberration

Online: 30 October 2024 (08:00:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.2233.v1

Preparation of the New Magnetic Nanoadsorbent Fe₃O₄@SiO₂‐yl‐VP and Study on the Adsorption Properties of Hg (II) and Pb (II) in Water

Dun Chen, Jianxin Chen, Wanyong Zhou, Amatjan Sawut

Subject: Applied Chemistry, Chemistry And Materials Science Keywords: functionalized magnetic nanoadsorbent; adsorbent; Adsorption of Hg (II) and Pb (II); adsorption performance; heavy metal ion adsorbent

Online: 30 October 2024 (07:57:11 CET)

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