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Preprint ARTICLE | doi:10.20944/preprints202402.0770.v1

Ovarian Morphology in Non-hirsute, Normo-Androgenic, Eumenorrheic Premenopausal Women From a Multi-ethnic Unselected Siberian Population

Ludmila Lazareva, Larisa Suturina, Alina Atalyan, Irina Danusevich, Iana Nadeliaeva, Lilia Belenkaya, Irina Egorova, Kseniia Ievleva, Natalia Babaeva, Daria Lizneva, Richard S. Legro, Ricardo Azziz

Subject: Medicine And Pharmacology, Reproductive Medicine Keywords: pelvic ultrasound; follicle number per ovary; FNPO; ovarian volume; PCOM; upper normal limits; referral population

Online: 14 February 2024 (05:32:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints201612.0091.v2

The China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) Application in China: A Case Study in Heihe River Basin

Xian-yong Meng, Hao Wang, Si-yu Cai, Xue-song Zhang, Guo-yong Leng, Xiao-hui Lei, Chun-xiang Shi, Shi-yin Liu

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: reanalysis climate data; hydrologic modeling; comparative analysis

Online: 3 February 2017 (03:50:07 CET)

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Large-scale hydrological modeling in China is challenging given the sparse meteorological stations and large uncertainties associated with atmospheric forcing data.Here we introduce the development and use of the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) in the Heihe River Basin(HRB) for improving hydrologic modeling, by leveraging the datasets from the China Meteorological Administration Land Data Assimilation System (CLDAS)(including climate data from nearly 40000 area encryption stations, 2700 national automatic weather stations, FengYun (FY) 2 satellite and radar stations). CMADS uses the Space Time Multiscale Analysis System (STMAS) to fuse data based on ECWMF ambient field and ensure data accuracy. In addition, compared with CLDAS, CMADS includes relative humidity and climate data of varied resolutions to drive hydrological models such as the Soil and Water Assessment Tool (SWAT) model. Here, we compared climate data from CMADS, Climate Forecast System Reanalysis (CFSR) and traditional weather station (TWS) climate forcing data and evaluatedtheir applicability for driving large scale hydrologic modeling with SWAT. In general, CMADS has higher accuracy than CFRS when evaluated against observations at TWS; CMADS also provides spatially continuous climate field to drive distributed hydrologic models, which is an important advantage over TWS climate data, particular in regions with sparse weather stations. Therefore, SWAT model simulations driven with CMADS and TWS achieved similar performances in terms of monthly and daily stream flow simulations, and both of them outperformed CFRS. For example, for the three hydrological stations (Ying Luoxia, Qilian Mountain, and ZhaMasheke) in the HRB at the monthly and daily Nash-Sutcliffe efficiency ranges of 0.75-0.95 and 0.58-0.78, respectively, which are much higher than corresponding efficiency statistics achieved with CFSR (monthly: 0.32-0.49 and daily: 0.26 – 0.45). The CMADS dataset is available free of charge and is expected to a valuable addition to the existing climate reanalysis datasets for deriving distributed hydrologic modeling in China and other countries in East Asia.

Preprint ARTICLE | doi:10.20944/preprints201610.0054.v1

Functional and Regulatory Profiling of Energy Metabolism in Fission Yeast

Michal Malecki, Danny A. Bitton, Maria Rodriguez-Lopez, Charalampos Rallis, Noelia Garcia Cavalia, Graeme C. Smith, Jurg Bahler

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: energy metabolism; respiration; fermentation; auxotrophy; retrograde response

Online: 14 October 2016 (10:58:50 CEST)

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Background: The control of energy metabolism is fundamental for cell growth and function, and anomalies are implicated in complex diseases and ageing. It is important for cells to carefully tune metabolic pathways to optimize their function in response to different nutrient or physiological conditions. Metabolism in yeast cells can be easily manipulated by supplying different carbon sources: on glucose yeast rapidly proliferates by fermentation, analogous to tumour cells growing by aerobic glycolysis, whereas on non-fermentable carbon sources metabolism shifts towards respiration. Results: We screened deletion libraries of fission yeast to identify over 200 genes required for respiratory growth. The growth medium and auxotrophic mutants strongly influenced respiratory metabolism. Most genes uncovered in the mutant screens have not been implicated in respiration in budding yeast. We applied gene expression profiling approaches to compare steady-state fermentative and respiratory growth and to analyse the dynamic adaptation to respiratory growth. The transcript levels of most genes functioning in key energy metabolism pathways were coherently tuned, reflecting anticipated differences in metabolic flows between fermenting and respiring cells. We show that the acetyl-CoA synthase, rather than the citrate lyase, is essential for acetyl-CoA synthesis in fission yeast. We also investigated the transcriptional response to mitochondrial damage by genetic or chemical perturbations, defining a retrograde response that involves the concerted regulation of distinct groups of nuclear genes that may avert harm from mitochondrial malfunction. Conclusions: These systematic and targeted analyses provide a rich framework of the genetic and regulatory basis of fundamental metabolic states to guide future studies on energy metabolism in fission yeast and beyond. Our study pinpoints weaknesses of commonly used auxotroph mutants for investigating energy metabolism. As a model for cellular energy regulation, fission yeast provides an attractive and complementary system to budding yeast.

Working Paper ARTICLE

Experimental Investigation and Energy Performance Simulation of Mongolian Ger with ETS Heater and Solar PV in Ulaanbaatar City

Bat-Erdene Bayandelger, Yuzuru Ueda, Amarbayar Adiyabat

Subject: Engineering, Electrical And Electronic Engineering Keywords: experimentation; energy simulation; ETS heater; Mongolian Ger; PV system

Online: 25 July 2020 (16:48:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0031.v1

Whole-Genome Sequencing, Phenotypic Characterization, and Antifungal Susceptibility Profiles of Three Aspergillus hortae Clinical Isolates from Colombia

Santiago Marín-Carvajal, Mariana Quiceno-Torres, Maria Camila Zuleta, Susana Torres, Álvaro Leon Rúa, Ana Maria García, Clayton Luiz Borges, Angela Maria López, Juan Guillermo McEwen, Orville Hernandez Ruiz, Oscar Mauricio Gómez

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Aspergillus hortae; Genome; Pathogenic fungi; antifungals susceptibility

Online: 2 September 2024 (12:27:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2210.v1

Assessing the Opportunities and Risks of DUS and VCU Variety Testing for Sustainable Production through SWOT Analysis Results

Nóra Mendler-Drienyovszki., Katalin Magyar-Tábori, Roberto Mancinelli, Lisa Black, Hazel Brown, Mohamed Allam, Sripada M. Udupa, Mariam Atait, Elena Novarina, Tommaso Bardelli, Preben Klarskov Hansen, Paul Cottney, Anna Maria Giulini

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: quality standards; sustainable production; yield performance; SWOT strategies; survey

Online: 30 July 2024 (09:29:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1019.v1

A Rationally Designed H5 Hemagglutinin Subunit Vaccine Provides Broad-Spectrum Protection against Various H5Nx highly Pathogenic Avian Influenza Viruses in Chickens

Xuxiao Zhang, Xin Li, Fushou Zhang, Xiaoping Cui, Xiaoqin Guo, Zhi Sun, Pengju Guo, Ming Liao, Ning Chen

Subject: Medicine And Pharmacology, Veterinary Medicine Keywords: avian influenza virus; H5 subtype; subunit vaccine; broad protection

Online: 12 July 2024 (08:42:33 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202407.0921.v1

Phage Anti-Pycsar Proteins Efficiently Degrade β-Lactam Antibiotics

Pallav Joshi, Stefan Krco, Samuel J Davis, Lachlan Asser, Thomas Brück, Rochelle M Soo, Mikael Bodén, Philip Hugenholtz, Liam A Wilson, Gerhard Schenk, Marc T Morris

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Virus; Metallo-beta-lactamase (MBL); MBL-fold superfamily; antimicrobial resistance; anti-Pycsar; carbapanemase

Online: 11 July 2024 (04:52:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0073.v1

Effects of Social Facilitation and Introduction Methods of Cattle on Virtual Fence Adaptation

Pernille Arent Simonsen, Niels Søborg Husted, Magnus Clausen, Amalie-Maria Spens, Ramus Majland Dyrholm, Ida Fabricius Thaysen, Magnus Fjord Aaser, Søren Krabbe Staahltoft, Dan Bruhn, Aage Kristian Olsen Alstrup, Christian Sonne, Cino Pertoldi

Subject: Biology And Life Sciences, Behavioral Sciences Keywords: Animals; virtual fencing; Nofence©; Angus cattle; social facilitation

Online: 1 April 2024 (17:15:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1794.v1

JAK/STAT Inhibition Normalizes Lipid Composition in 3D Human Epidermal Equivalents Challenged with Th2 Cytokines

Enrica Flori, Alessia Cavallo, Sarah Mosca, Daniela Kovacs, Carlo Cota, Marco Zaccarini, Anna Di Nardo, Grazia Bottillo, Miriam Maiellaro, Emanuela Camera, Giorgia Cardinali

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: 3D-Skin model; Th2 cytokines; skin lipidomics; JAK/STAT; Atopic Dermatitis

Online: 29 March 2024 (11:24:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1206.v1

Optical properties and possible origins of atmospheric aerosols over LHAASO in the eastern margin of Tibetan Plateau

Junji Xia, Fengrong Zhu, Xingbing Zhao, Jing Liu, Hu Liu, Guotao Yuan, Qinning Sun, Lei Xie, Min Jin, Long Chen, Yang Wang, Yu Liu, Tengfei Song

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Aerosol Optical Depth (AOD); sun photometer; aerosol optical properties; aerosol potential origin )

Online: 20 March 2024 (11:03:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0662.v1

Meat-Borne-Parasite: A Nanopore-Based Meta-Barcoding Workflow for Parasitic Microbiodiversity Assessment in the Wild Fauna of French Guiana

Adria MATOUTE, Simone MAESTRI, Mona SAOUT, Laure LAGHOE, Stephane SIMON, Helene BLANQUART, Miguel Angel Hernandez Martinez, Magalie PIERRE DEMAR

Subject: Biology And Life Sciences, Other Keywords: Apicomplexa; Amazon; NGS sequencing; Meta-barcoding; Wild mammals

Online: 12 February 2024 (10:24:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0490.v1

A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics With Metabolism, Signaling Networks and Biomechanics As Plug-In Component Models of a Cancer Digital Twin

Eleni Kolokotroni, Daniel Abler, Alokendra Ghosh, Eleftheria Tzamali, James Grogan, Eleni Georgiadi, Philippe Büchler, Ravi Radhakrishnan, Helen Byrne, Vangelis Sakkalis, Katerina Nikiforaki, Ioannis Karatzanis, Nigel J.B. McFarlane, Djibril Kaba, Feng Dong, Rainer M. Bohle, Eckart Meese, Norbert Graf, Georgios Stamatakos

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: in silico medicine; in silico oncology; cancer; hypermodeling; digital twin; virtual twin; computational oncology; Wilms tumor; non small cell lung cancer

Online: 8 March 2024 (04:11:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0393.v2

Investigating Laser-Induced Periodic Surface Structures (LIPSS) Formation in Silicon and Their Impact on Surface-Enhanced Raman Spectroscopy (SERS) Applications

Hardik Vaghasiya, Paul-Tiberiu Miclea

Subject: Physical Sciences, Optics And Photonics Keywords: Laser-induced periodic surface structures (LIPSS); Surface-Enhanced Raman Spectroscopy (SERS); Femtosecond laser

Online: 12 September 2023 (08:34:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1092.v1

Construction and Stability of All-in-One Adenovirus Vectors Simultaneously Expressing Four and Eight Multiplex Guide RNAs and Cas9 Nickase

Tomomi Nakahara, Hirotaka Tabata, Yuya Kato, Ryoko Fuse, Mariko Nakamura, Megumi Yamaji, Nobutaka Hattori, Tohru Kiyono, Izumu Saito, Tomoko Nakanishi

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: CRISPR/Cas9; genome editing; adenovirus vector; all-in-one, multiplex guide RNA; shortened U6 promoter; gene therapy

Online: 17 June 2024 (08:35:01 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202407.1376.v1

Superior In Vitro Differentiation of Antigen-Presenting Cells with GM-CSF Compared to L-929 Supernatant in Mouse Bone Marrow Cultures

Gabriel da Silva Cordeiro, Felipe Cezar Pinheiro de Mato, Amanda Pires Bonfanti, Liana Verinaud, Catarina Rapôso Dias Carneiro

Subject: Biology And Life Sciences, Cell And Developmental Biology Keywords: protocol comparison; steam cell; dendritic cell; macrophage; C57BL/6J model

Online: 17 July 2024 (04:52:30 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202310.1499.v1

A Note on the Solar Neutrino Problem

M. Apostol

Subject: Physical Sciences, Particle And Field Physics Keywords: solar neutrinos; neutrino oscillations; coupled dirac equations; interaction with matter; admixture angle; superfluid correlations

Online: 24 October 2023 (07:45:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1580.v3

Annual Solar Geoengineering: Mitigating Yearly Global Warming Increases

Alec Feinberg

Subject: Environmental And Earth Sciences, Environmental Science Keywords: solar geoengineering; space mirrors; earth mirrors; desert modification; space clusters; stratosphere injection

Online: 21 September 2023 (09:45:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0065.v1

Solar PV Cost Reduction Potential in Japan

Robert Höller, Daniel Gudopp, Tobias Leschinsky

Subject: Engineering, Energy And Fuel Technology Keywords: Solar PV; cost reduction; balance of system; Japan

Online: 5 April 2019 (12:10:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0452.v1

Solar Neutrinos Spectroscopy with Borexino Phase-II

Lino Miramonti, M. Agostini, K. Altenmueller, S. Appel, V. Atroshchenko, Z. Bagdasarian, D. Basilico, G. Bellini, J. Benziger, D. Bick, I. Bolognino, G. Bonfini, D. Bravo, B. Caccianiga, F. Calaprice, A. Caminata, S. Caprioli, M. Carlini, P. Cavalcante, F. Cavanna, A. Chepurnov, K. Choi, L. Collica, S. Davini, A. Derbin, X.F. Ding, A. Di Ludovico, L. Di Noto, I. Drachnev, K. Fomenko, A. Formozov, D. Franco, F. Gabriele, C. Galbiati, M. Gschwender, C. Ghiano, M. Giammarchi, A. Goretti, M. Gromov, D. Guffanti, C. Hagner, T. Houdy, E. Hungerford, Aldo Ianni, Andrea Ianni, A. Jany, D. Jeschke, V. Kobychev, D. Korablev, G. Korga, T. Lachenmaier, M. Laubenstein, E. Litvinovich, F. Lombardi, P. Lombardi, L. Ludhova, G. Lukyanchenko, L. Lukyanchenko, I. Machulin, G. Manuzio, S. Marcocci, J. Maricic, J. Martyn, E. Meroni, M. Meyer, M. Misiaszek, L. Papp, O. Penek, L. Pietrofaccia, N. Pilipenko, A. Pocar, A. Porcelli, G. Raikov, G. Ranucci, A. Razeto, A. Re, M. Redchuk, A. Romani, N. Rossi, S. Rottenanger, S. Schönert, D. Semenov, M. Skorokhvatov, O. Smirnov, A. Sotnikov, L.F.F. Stokes, Y. Suvorov, R. Tartaglia, G. Testera, J. Thurn, M. Toropova, E. Unzhakov, A. Vishneva, R.B. Vogelaar, F. von Feilitzsch, S. Weinz, M. Wojcik, M. Wurm, Z. Yokley, O. Zaimidoroga, S. Zavatarelli, K. Zuber, G. Zuzel

Subject: Physical Sciences, Particle And Field Physics Keywords: solar neutrinos; neutrino oscillation; Borexino

Online: 19 October 2018 (11:49:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0214.v1

Level of Agreement between Plaque Detection with Clinical Assessment and Assessment on Intraoral Scanner

Grigoria Gkavela, Pia Norrisgaard, Christos Rahiotis

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: Level of agreement; intraoral scanner; plaque; disclosing agent; plaque index

Online: 5 August 2024 (09:32:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1975.v1

Semantic Enrichment of Non-graphical Data of a BIM Model of a Public Building from the Perspective of the Facility Manager

Andrzej Szymon Borkowski, Marta Maroń

Subject: Engineering, Architecture, Building And Construction Keywords: semantic enrichment; non-graphical data; management; building information modeling (BIM); model; Industry Foundation Classes (IFC)

Online: 25 July 2024 (12:06:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1963.v1

Markov Chain Based Statistic Model for Predicting Particle Movement in Circulating Fluidized Bed (CFB) Risers

Yaming Zhuang, Fangfang Liu

Subject: Engineering, Chemical Engineering Keywords: Markov chain; statistic model; fluidized bed; CFD-DEM

Online: 24 July 2024 (12:41:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0529.v2

Back to the Metrics: Exploration of Distance Metrics in Anomaly Detection

Yujing Lin, Xiaoqiang Li

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: image anomaly detection; defect detection; industrial manufacturing; distance metrics; anomaly score distribution

Online: 22 July 2024 (10:00:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1547.v1

A U-Statistic for Testing Lack of Dependence in Functional Partially Linear Regression Model

Fanrong Zhao, Baoxue Zhang

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Asymptotic normality; Functional partially linear regression model; Nadaraya-Watson estimate; U-statistic

Online: 18 July 2024 (17:26:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0041.v1

Exploring the Interconnections Between Professional Engagement, Job Satisfaction, and Research Performance: Sustainable Education and Approaches for Sustainability in Academic Career Management

Elena Cristina Udrea (Faina), Augustin Semenescu

Subject: Social Sciences, Education Keywords: Career Development; Performance Metrics; Early-Career Researchers; Job Satisfaction; Profes-sional Commitment; Sustainability; Framework

Online: 1 July 2024 (11:37:06 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.1012.v1

Insecure Attachment, Oxytocinergic System and C Tactile Fibers: An Integrative and Translational Pathophysiological Model of Fibromyalgia and Central Sensitization Syndromes

Gianluca Bruti, Paola Foggetti

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: fibromyalgia pathophysiology; stress response system; functional somatic disorders; central sensitized syndromes; central sensitization; insecure attachment style; oxytocinergic system; small fiber neuropathy; C tactile fibers; C‐low‐threshold mechanoreceptors; affective touch

Online: 14 June 2024 (13:57:38 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.0921.v1

Cyanobacterial Blooms Formation by Enhanced Ecological Adaptability and Competitive Advantage of Microcystis— Non-Negligible Role of Quorum-Sensing

Ziqing Zhang, Jieming Li

Subject: Biology And Life Sciences, Aquatic Science Keywords: Microcystis; Quorum sensing; Quorum quenching

Online: 13 June 2024 (12:11:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0364.v1

An Explainable AI-based Machine Learning Approach for Predicting Diabetes in the Early Stage Using the Influential Features

Utsha Das, Boshir Ahmed

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: communicable disease; diabetes; feature selection; imbalanced dataset; insulin; kernel function; outlier
samples

Online: 12 June 2024 (14:16:43 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202404.1910.v1

Exploring the Spatio-Temporal Evolutionary Characteristics of Paomo Restaurants in Xi’an’s Central Urban Area Through POI Data Analysis

Dawei Yang, Ping Xu, Xiaojuan Yang

Subject: Social Sciences, Geography, Planning And Development Keywords: POI Data, Paomo Restaurants, Spatio-temporal Evolution Characteristics, Xi'an

Online: 29 April 2024 (10:06:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0396.v1

Bi-directional Full-Color Generation and Tri-channel Information Encoding Based on a Plasmonic Metasurface

Dewang Huo, Guoqiang Li

Subject: Physical Sciences, Optics And Photonics Keywords: plasmonic metasurface; full-color generation; tri-channel information encoding; polarization encoding

Online: 5 April 2024 (15:57:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0141.v1

Navigating Uncertainty in High-Frequency Trading: A DIKWP Model Approach to Compliance and Strategy under the Financial Regulation

Kunguang Wu, Yucong Duan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: DIKWP model; uncertainty analysis; concept space; cognitive space; semantic space

Online: 2 April 2024 (07:21:22 CEST)

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Preprint REVIEW | doi:10.20944/preprints202403.1272.v1

Unveiling the Future of Human and Machine Coding: A Survey of End-to-End Learned Image Compression

Chen-Hsiu Huang, Ja-Ling Wu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; image compression; video coding; neural compression; coding for machines

Online: 21 March 2024 (11:51:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0060.v1

The Relationship between Rhythmic Temporal Attention and Endogenous and Exogenous Spatial Attention

Xiaoxiao Li, Yong Lyu

Subject: Social Sciences, Psychology Keywords: rhythm; temporal attention; endogenous spatial attention; exogenous spatial attention

Online: 1 March 2024 (16:52:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1031.v1

Characterization of Orbital Angular Momentum Beams by Polar Mapping and Fourier Transform

Ruediger Grunwald, Martin Bock

Subject: Physical Sciences, Optics And Photonics Keywords: Orbital momentum; polar mapping; Fast Fourier Transform; vortex beams; singular optics; structured light; beam characterization; mode sorting; topological charge; spiral recognition

Online: 19 February 2024 (10:23:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0873.v1

Patients' Perception of Sound and Noise dimensions in the Dental Clinic Environment

Panagiota Tziovara, Christina Antoniadou, Maria Antoniadou

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Dental healthcare; soundscape in the dental office; , sound preferences; noise obstacles; music interventions; anxiety reduction; patient experiences; healthcare environment; eco soundscape; patient well-being

Online: 16 February 2024 (07:47:14 CET)

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In the area of dental healthcare services, where patients and professionals deal with multiple auditory stimuli, this cross-sectional study reports on the intricate dynamics of sound preferences, noise obstacles, and the profound impact of music on anxiety reduction within dental office set-tings. The sample comprises of 134 dental patients, primarily females (56.7%), with varying age groups, education levels, and therapy durations in the university clinics of the department of Dentistry, National and Kapodistrian University of Athens and four private dental offices at the metropolitan area of Athens, Greece. Notably, 92.5% of the participants report no hearing loss, and 56.7% exhibit some level of noise sensitivity. The study reveals a moderate to good perceived health status (M=3.84, SD=0.95) among participants, with low perceived noise disturbance in university dental clinics. Preferences for instrumental music, foreign pop, and classical music are prominent during waiting times. Potential irritations include impersonal treatment (44%) and staff behavior (41.8%). Music player usage within the settings of the dental clinic involves radios (49.3%) and headphones (41.0%). Correlations and predictors indicate associations between health status, music preferences, and noise disturbances. More specifically, visiting the university dental clinics (β = .300, p = .005) as well as younger age (β = .300, p = .034) were significant predictors of better perceived health status. Clearer perception of external sounds while using the music player (β = .190, p = .039) was a significant predictor of better perceived health status, while poorer health was predicted by the preference of Greek folk songs (β = -.200, p = .030). Also, the use of smartphones for playing music was related to poorer health (β = -.370, p < .001). Following, younger age (β = -.270, p = .015), lower education (β = -.210, p = .035), higher noise sensitivity (β = .190, p = .027), as well as feelings of anxiety and nervousness due to ambient noise from people and machines (β = .510, p = .027) were significant predictors of noise disturbance from machines. Also, visiting private clinics (β = .240, p = .018), preferences of specific playlist (β = .310, p = .012), no music (β = .280, p = .016) and use of smartphones to play music (β = .230, p = .029) were significant predictors of noise disturbance from patients or staff. Finally, the preference of listening to a specific playlist was related to better health status (r = .190, p < .05). Findings aim to optimize eco-soundscapes in dental offices, con-tributing to enhanced patient well-being. The research underscores the potential of music inter-ventions to alleviate dental anxiety and improve the overall dental experience and quality care.

Preprint ARTICLE | doi:10.20944/preprints202402.0525.v1

Digital Literacy, Insurtech Adoption and Insurance Inclusion in Uganda

Archillies Kiwanuka, Athenia Bongani Sibindi

Subject: Business, Economics And Management, Finance Keywords: Digital literacy; Insurtech adoption; Insurance inclusion; Financial inclusion; Uganda

Online: 8 February 2024 (16:02:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0194.v1

PSO-CNN-Based Initial Alignment for Fiber Optic Gyroscope

Hunzhuo Zhang, Duan Huang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: initial alignment; fiber optic gyroscope; convolutional neural network; particle swarm optimization algorithm

Online: 5 February 2024 (06:30:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints201609.0112.v1

Influence of External Magnetic Field on the Microwave Absorption Properties of Carbonyl Iron and Polychloroprene Composites Film

Haiyan Wang, Xueai Li

Subject: Chemistry And Materials Science, Surfaces, Coatings And Films Keywords: carbonyl iron; composites film; external magnetic field; microwave absorption properties

Online: 28 September 2016 (10:32:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0168.v1

Examining the “Natural Resource Curse” and the Impact of Various Forms of Capital in Small Tourism and Natural Resource Dependent Economies

Petar Kurecic, Filip Kokotovic

Subject: Business, Economics And Management, Economics Keywords: natural capital; human capital; economic growth; small economies; Vector Auto regression; natural resource curse

Online: 18 August 2016 (05:13:21 CEST)

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Preprint REVIEW | doi:10.20944/preprints201607.0012.v1

Analysis of Access Control Methods in Cloud Computing

Madhura Mulimani, Rashmi Rachh

Subject: Computer Science And Mathematics, Information Systems Keywords: role-based access control; attribute-based access control; attribute-based encryption

Online: 8 July 2016 (10:12:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0250.v1

Impact of Wetting and Drying Cycles on the Hydromechanical Properties of Soil and Stability of the Earth Infrastructure

Syed Samran Ali Shah, Kanishka Sauis Turrakheil, MUHAMMAD NAVEED

Subject: Engineering, Civil Engineering Keywords: wetting-drying cycles; soil water characteristics; saturated hydraulic conductivity; shear strength of soil; slope stability analysis

Online: 3 September 2024 (16:58:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2509.v1

Ultrasonic Synthesis of Zein Protein Microcapsules: Stability, Morphology and Curcumin Inclusion Studies by Optical Spectroscopy and Microscopy Experiments

Alessandra Quarta, Francesca Cavalieri, Mariano Venanzi

Subject: Chemistry And Materials Science, Physical Chemistry Keywords: Core-shell microcapsules; Curcumin; Protein microcapsules; Ultrasound-assisted emulsification; Zein protein

Online: 31 July 2024 (11:12:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2009.v1

Limits of Stability during a Therapeutic Exercise Intervention for Instability: Progression, Responders’ and Non-Responders’ Analysis and Predictors

Laura Flix-Díez, Melissa Blanco-Pareja, Nicolás Pérez-Fernández

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: exercise therapy; instability; limits of stability; rehabilitation; prognosis; physical therapy modalities

Online: 25 July 2024 (07:15:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1385.v1

3D and 2D Stability Analysis of Bentonite Slurry Trench with Shear Strength Reduction Technique and Limit Equilibrium Methods

Marek Cała, Thi Cat Tuong Le, Agnieszka Stopkowicz

Subject: Engineering, Civil Engineering Keywords: bentonite slurry trench, numerical calculations, factor of safety (FS) , Shear Strength Reduction Technique (SSR).

Online: 21 May 2024 (11:51:51 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.1240.v1

Hemodialysis Procedures for Stable Incident and Prevalent Patients to Optimize Hemodynamic Stability, Dialysis Dose, Electrolytes, and Fluid Balance

Stefano Stuard, Christophe Ridel, Mario Cioffi, Alijana Trost-Rupnik, Konstantin Gurevich, Marija Bojic, Yerkebulan Karibayev, Nilufar Mohebbi, Wojciech Marcinkowski, Vlasta Kupres, Jelena Maslovaric, Alon Antebi, Pedro Ponce, Mamdouh Nada, Maria Eva Baro Salvador, Jaroslav Rosenberger, Tomas Jirka, Kira Enden, Volodymyr Novakivskyy, Daniela Voiculescu, Martin Pachmann, Otto Arkossy

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Hemodialysis procedures; hemodynamic stability; dialysis dose; dialysis electrolytes balance; dialysis fluid balance

Online: 18 April 2024 (10:04:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.0118.v1

Implication of Public-Private Partnerships in Construction

Wei Zhang

Subject: Engineering, Architecture, Building And Construction Keywords: Public-Private Partnerships; Construction; P3; Infrastructure; Building; Public

Online: 2 September 2024 (14:18:27 CEST)

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Preprint HYPOTHESIS | doi:10.20944/preprints202301.0155.v4

Benveniste’s Experiments and the So-Called “Water Memory” Phenomenon: an Example of Serendipity? Investigation and Experiments

Francis BEAUVAIS

Subject: Medicine And Pharmacology, Other Keywords: Water memory; High dilutions; Scientific controversy; Serendipity; Experimenter effect

Online: 10 May 2024 (03:14:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1074.v1

Validation of Ground Based Solar Irradiance Measurements against Meteosat-Msg and Himawari-8 Satellite Data

Jitendra Kumar Meher, Syed Haider Abbas Rizvi, Bhramar Choudhary, Ravi Choudhary, Yash Thakre, Ritesh Kumar, Vikram Singh

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: BSRN; Heliosat-2; Himawari-8; Meteosat-MSG; Renewable energy; Solar Radiation; Validation Study

Online: 16 May 2024 (11:55:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0692.v1

Suitability Analysis of Solar Energy Plant Sites in Yemen Using AHP, BSM and GIS Methods

Abdulrakeeb Algawbery Noman, Mohamed Ali Shukri, Mohammed Qaseem AL-Moutawakel

Subject: Physical Sciences, Applied Physics Keywords: Solar energy; Yemen; Analytical Hierarchy Process (AHP); Geographic Information System (GIS); Suitability analysis; Site selection; Criteria weighting; Class weighting; Weighted overlay; Suitability map; Optimal areas; Sustainable development; Best-Worst method (BWM)

Online: 13 May 2024 (03:22:07 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.0298.v2

Absorption of Light in Vertical III-V Semiconductor Nanowires for Solar Cell and Photodetector Applications

Nicklas Anttu

Subject: Physical Sciences, Applied Physics Keywords: III-V semiconductor; nanowire; absorption; solar cell; photodetector

Online: 17 August 2023 (07:53:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0481.v1

Experimental and Numerical Optimization Study on Performance of Solar Phase Change Thermal Energy Storage System

Yuqing Tang, Neng Zhu, Siqi Li, Yingzhen Hou

Subject: Engineering, Civil Engineering Keywords: phase change thermal energy storage device; solar energy; heat storage and release performance; experimental study; numerical simulation

Online: 18 April 2023 (04:20:30 CEST)

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Promoting the use of solar energy resources has always faced the challenges of instability and supply-demand mismatch. The key to solving these issues is to efficiently store and utilize solar energy resources using high-performance heat storage devices. This study designed a high-performance shell-and-tube phase change thermal storage device and established a numerical model using ANSYS software to summarize the device's dynamic melting law. To verify the accuracy of the numerical simulation, a performance testing platform for the phase change thermal storage device was built to investigate the impact of factors such as inlet water temperature, inlet water flow rate, type of heat storage, and initial temperature of the device, and to reveal the change law of the device's performance. The results show that the inlet water temperature has the most significant impact on the device's heat storage and release performance. When the device's heat storage or release is used for heating, changing the inlet water flow rate has a weak and limited effect on the device's performance. However, when the device's heat release is used to provide domestic hot water, increasing the makeup water temperature and reducing the inlet water flow rate can significantly improve the device's effective heat release. Furthermore, based on the experimental validation of the model's correctness, this study further simulated and studied the impact of different factors on the device's heat storage process to optimize its structural design and provide technical references for the device's actual operation and installation. The results show that the placement of fins has a negligible effect on the performance of the heat storage device while reducing the fin spacing and increasing the fin thickness can significantly improve the melting efficiency of the phase change material (PCM). Additionally, the heat storage characteristics of the device are significantly better in the vertical installation mode than in the horizontal installation mode. This study provides theoretical guidance and technical references for the design and use of phase change thermal storage devices.

Preprint ARTICLE | doi:10.20944/preprints202211.0095.v1

Solar System-Like Systems with Special Reference to Relativistic Quantum Mechanics and Weak Gravitational Field

Peter Gara

Subject: Physical Sciences, Quantum Science And Technology Keywords: Solar system-like systems; Relativistic Quantum Mechanics; Weak Gravity; Proper Time Scale of the Solar System

Online: 4 November 2022 (13:42:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202208.0345.v1

SENERGY: A Novel Deep Learning-Based Auto-Selective Approach and Tool for Solar Energy Forecasting

Ghadah Alkhayat, Syed Hamid Hasan, Rashid Mehmood

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; solar radiation forecasting; model prediction; solar energy; multi climates data; generalizability; sustainability; Long Short-Term Memory (LSTM); Gated Recurrent Unit (GRU); Convolutional Neural Network (CNN); Hybrid CNN-Bidirectional LSTM; LSTM Autoencoder

Online: 18 August 2022 (10:59:18 CEST)

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The sustainability of the planet and its inhabitants is in dire danger and is among the highest priorities on global agendas such as the Sustainable Development Goals (SDGs) of the United Nations (UN). Solar energy -- among other clean, renewable, and sustainable energies -- is seen as essential for environmental, social, and economic sustainability. Predicting solar energy accurately is critical to increasing reliability and stability, and reducing the risks and costs of the energy systems and markets. Researchers have come a long way in developing cutting-edge solar energy forecasting methods. However, these methods are far from optimal in terms of their accuracies, generalizability, benchmarking, and other requirements. Particularly, no single method performs well across all climates and weathers due to the large variations in meteorological data. This paper proposes SENERGY (an acronym for Sustainable Energy), a novel deep learning-based auto-selective approach and tool that, instead of generalising a specific model for all climates, predicts the best performing deep learning model for GHI forecasting in terms of forecasting error. The approach is based on carefully devised deep learning methods and feature sets through an extensive analysis of deep learning forecasting and classification methods using ten meteorological datasets from three continents. We analyse the tool in great detail through a range of metrics and methods for performance analysis, visualization, and comparison of solar forecasting methods. SENERGY outperforms existing methods in all performance metrics including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Forecast Skills (FS), Relative Forecasting Error, and the normalised versions of these metrics. The proposed auto-selective approach can be extended to other research problems such as wind energy forecasting and predict forecasting models based on different criteria (in addition to the minimum forecasting error used in this paper) such as the energy required or speed of model execution, different input features, different optimisations of the same models, or other user preferences.

Working Paper ARTICLE

Optimal Power Flow Considering Intermittent Solar and Wind Generation using Multi-Operator Differential Evolution Algorithm

Md Alamgir Hossain, Karam M. Sallam, Seham S. Elsayed, Ripon K. Chakrabortty, Michael J. Ryan

Subject: Engineering, Automotive Engineering Keywords: Evolutionary Algorithms; differential evolution; constraints handling techniques; optimal power flow; renewable energy

Online: 10 May 2021 (10:22:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0327.v1

Capturing the Impact of 2018 European Drought and Heat Using OCO-2 Solar-Induced Fluorescence

Ankit Shekhar, Jia Chen, Shrutilipi Bhattacharjee, Allan Buras, Antony Oswaldo Castro, Christian S. Zang, Anja Rammig

Subject: Environmental And Earth Sciences, Environmental Science Keywords: chlorophyll fluorescence; remote sensing; ecosystems; spring-summer; forest

Online: 14 August 2020 (12:11:37 CEST)

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The European heatwave of 2018 led to record-breaking temperatures and extremely dry conditions in many parts of the continent resulting in widespread decrease in agricultural yield, early tree-leaf senescence, and increase in forest fires in Northern Europe. Our study aims to capture the impact of the 2018 European heatwave on terrestrial ecosystem through the lens of a high-resolution solar-induced fluorescence (SIF) data acquired from the Orbiting Carbon Observatory (OCO-2) satellite. SIF is proposed to be a direct proxy for gross primary productivity (GPP) and thus can be used to draw inferences about changes in photosynthetic activity in vegetation due to extreme events. We explore spatial and temporal SIF variation and anomaly during spring and summer months across different vegetation types (agriculture, broadleaved forest, coniferous forest, and mixed forest) during the European heatwave of 2018 and compare it to non-drought conditions (most of Southern Europe). About one-third of Europe’s land area experienced a consecutive spring and summer drought in 2018. Comparing 2018 to mean (2015-2017) conditions, we found a change in intra-spring season SIF dynamics for all vegetation types, with lower SIF during the start of spring followed by an increase in fluorescence from mid-April. Summer, however, showed a significant decrease in SIF. Our results show that particularly agricultural areas were severely affected by the hotter drought of 2018. Furthermore, the intense heat wave in Central Europe showed about 31% decrease in SIF values during July and August as compared to the mean over three previous years. Furthermore, our MODIS and OCO-2 comparative results indicate that especially for forests, OCO-2 SIF has a quicker response and possible higher sensitivity to drought in comparison to MODIS’s fPAR and NDVI when considering shorter reference periods, which highlights the added value of remotely sensed solar-induced fluorescence for studying the impact of drought on vegetation.

Preprint ARTICLE | doi:10.20944/preprints201905.0354.v1

New Perspective on Performances and Limits of Solar Fresh Air Cooling in Different Climatic Conditions

Ancuta C. Abrudan, Octavian G. Pop, Alexandru Serban, Mugur C. Balan

Subject: Engineering, Energy And Fuel Technology Keywords: Solar cooling; Absorption chiller; LiBr-H2O; Operating conditions; Climatic conditions

Online: 29 May 2019 (15:17:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0089.v1

Forecast Horizon and Solar Variability Influences on the Performances of Multiscale Hybrid Forecast Model (MHFM)

Stéphanie Monjoly, Rudy Calif, Maina André, Ted Soubdhan

Subject: Engineering, Energy And Fuel Technology Keywords: hybrid forecast model; forecast horizon; daily global solar radiation clustering; fuzzy c-means; variability characterization

Online: 5 September 2018 (06:22:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202310.0744.v1

Stem Cells and Infertility: A Review of Clinical Applications and Legal Frameworks

Gaspare Cucinella, Giuseppe Gullo, Erika Catania, Antonio Perino, Valentina Billone, Gabriele Napoletano, Simona Zaami

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: Infertility; assisted reproductive technologies (ART); human embryonic stem cells (ESCs); Induced pluripotent stem cells (iPSCs); Mesenchymal Stem Cells (MSCs); Ovarian Stem Cells (OSCs); Spermatogonial Stem Cells (SSCs); ethics and legal implications

Online: 11 October 2023 (13:20:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0527.v1

DC Microgrid Based on Battery, Photovoltaic, and Fuel Cells; Design and Control

Akram Muntaser, Hussin Ragb, Ibrahim Elwarfalli

Subject: Engineering, Control And Systems Engineering Keywords: Microgrid; DC/DC converter; Lithium-ion battery; PV array; solar cell; MPPT controller.

Online: 28 December 2022 (03:38:34 CET)

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Preprint REVIEW | doi:10.20944/preprints202106.0449.v1

Diversity of Adult Neural Stem and Progenitor Cells in Physiology and Disease

Zachary Finkel, FATIMA ESTEBAN, Brianna Rodriguez, TIANYUE FU, Xin Ai, Li Cai

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Central Nervous System; Ependymal Cells; Neural Stem and Progenitor Cells; NG2+ Cells; Regenerative Medicine; Retina Injury; Spinal Cord Injury; Traumatic Brain Injury.

Online: 16 June 2021 (15:02:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0202.v2

Remote Sensing and Data Mining Techniques for Assessing the Urban Fabric Vulnerability to Heat Waves and UHI

Flavio Borfecchia, Vittorio Rosato, Emanuela Caiaffa, Maurizio Pollino, Luigi De Cecco, Luigi La Porta, Simone Ombuen, Lorenzo Barbieri, Federica Benelli, Flavio Camerata, Valeria Pellegrini, Andrea Filpa

Subject: Environmental And Earth Sciences, Environmental Science Keywords: HR satellite remote sensing; urban fabric vulnerability; UHI & heat waves; landsat & MODIS sensors; LST & urban heating; segmentation & objects classification; data mining; feature extraction & selection; stepwise regression & model calibration

Online: 26 October 2021 (13:11:23 CEST)

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Densely urbanized areas, with a low percentage of green vegetation, are highly exposed to Heat Waves (HW) which nowadays are increasing in terms of frequency and intensity also in the middle-latitude regions, due to ongoing Climate Change (CC). Their negative effects may combine with those of the UHI (Urban Heat Island), a local phenomenon where air temperatures in the compact built up cores of towns increase more than those in the surrounding rural areas, with significant impact on the quality of urban environment, on citizens health and energy consumption and transport, as it has occurred in the summer of 2003 on France and Italian central-northern areas. In this context this work aims at designing and developing a methodology based on aero-spatial remote sensing (EO) at medium-high resolution and most recent GIS techniques, for the extensive characterization of the urban fabric response to these climatic impacts related to the temperature within the general framework of supporting local and national strategies and policies of adaptation to CC. Due to its extension and variety of built-up typologies, the municipality of Rome was selected as test area for the methodology development and validation. First of all, we started by operating through photointerpretation of cartography at detailed scale (CTR 1: 5000) on a reference area consisting of a transect of about 5x20 km, extending from the downtown to the suburbs and including all the built-up classes of interest. The reference built-up vulnerability classes found inside the transect were then exploited as training areas to classify the entire territory of Rome municipality. To this end, the satellite EO HR (High Resolution) multispectral data, provided by the Landsat sensors were used within a on purpose developed "supervised" classification procedure, based on data mining and “object-classification” techniques. The classification results were then exploited for implementing a calibration method, based on a typical UHI temperature distribution, derived from MODIS satellite sensor LST (Land Surface Temperature) data of the summer 2003, to obtain an analytical expression of the vulnerability model, previously introduced on a semi-empirical basis.

Preprint ARTICLE | doi:10.20944/preprints202408.0970.v1

Performance And Latency Efficiency Evaluation Of Kubernetes Container Network Interfaces For Built-In And Custom Tuned Profiles

Vedran Dakić, Jasmin Redžepagić, Matej Bašić, Luka Žgrablić

Subject: Computer Science And Mathematics, Computer Science Keywords: Kubernetes; CNI; Antrea; Geneve; containers; Docker; Flannel; Cilium; Calico; HPC

Online: 14 August 2024 (00:31:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1784.v1

Enhanced Energy, Conversion Efficiency and Collimation of Protons Driven by High-Contrast and Ultra-Short Laser Pulses

Weipeng Yao, Ronan Lelièvre, Tessa Waltenspiel, Itamar Cohen, Amokrane Allaoua, Arie Beck, Erez Cohen, Xavier Davoine, Emmanuel D'Humieres, Quentin Ducasse, Eugene Filippov, Cort Gautier, Laurent Gremillet, Pavlos Koseoglou, David Michaeli, Dimitrios Papadopoulos, Sergey Pikuz, Ishay Pomerantz, Francois Trompier, Yuran Yuan, Francois Mathieu, Julien Fuchs

Subject: Physical Sciences, Optics And Photonics Keywords: high-power lasers, laser-driven ion acceleration; plasma mirror; particle-in-cell simulation

Online: 27 May 2024 (15:55:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1331.v1

A Hybrid Machine Learning and Optimization Algorithm for Enhanced User Comfort and Energy Efficiency in Smart Homes

Junaid Khan, Muhammad Fayaz, Umar Zaman, Eunkyu Lee, Awatef Salem Balobaid, Aburasain R. Y, Shujaat Ali, Kyungsup Kim

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning, Energy, User Comfort, Optimization; smart Home, Control Algorithm, Smoothing Filters.

Online: 17 January 2024 (14:28:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.0867.v1

Optimizing Building Thermal Insulation: The Impact of Brick Geometry and Thermal Coefficient on Energy Efficiency and Comfort

Ioannis Makrygiannis, Konstantinos Karalis, Theodosios Dragonas

Subject: Engineering, Energy And Fuel Technology Keywords: thermal insulation; energy efficiency; environmental impact

Online: 11 May 2023 (13:54:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.0729.v1

Utilizing Molecular Simulation to Examine Nanosuspension Stability

Andrew P. Latham, Elizabeth S. Levy, Benjamin D. Sellers, Dennis H. Leung

Subject: Chemistry And Materials Science, Biomaterials Keywords: formulation; nanosuspension; molecular dynamics

Online: 13 November 2023 (08:35:33 CET)

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Working Paper ARTICLE

On Stability of Iterative Sequences with Error

Salwa Salman Abed, Noor Saddam Taresh

Subject: Computer Science And Mathematics, Analysis Keywords: Banach space; iterative sequences; stability; fixed points

Online: 11 June 2019 (08:38:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1478.v1

Microscopic Image Dataset with Segmentation and Detection Labels for Microplastic Analysis in Sewage: Enhancing Research and Environmental Monitoring

Gwanghee Lee, Jaeheon Jung, Sangjun Moon, Jihyun Jung, Kyoungson Jhang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Deep learning; Computer vision; Microplastics; Segmentation; Detection

Online: 23 April 2024 (11:38:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1113.v1

Exploring Cutting-Edge Application of Computational Fluid Dynamic in Enhancing and Innovation within the Oil and Gas Sector

NNADIKWE JOHNSON

Subject: Engineering, Energy And Fuel Technology Keywords: ; CFD; Application; Gas Oil; Sector; SDGs

Online: 15 December 2023 (05:29:10 CET)

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Preprint REVIEW | doi:10.20944/preprints202312.0327.v1

Enhancing Forest Sustainability: A Comprehensive Exploration of Thinning Practices and their Effects on Soil Chemical and Biochemical Properties

Adele Muscolo, Mariateresa Oliva, Carmelo Mallamaci, Francesco Canino.

Subject: Biology And Life Sciences, Forestry Keywords: Enzyme activities; forest; microbial biomass; organic matter; thinning intensity.

Online: 6 December 2023 (12:26:14 CET)

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The adoption of sustainable forest management practices emerged as a contemporary imperative for forest biodiversity preservation, functional integrity, and mitigation of climate change. Within the spectrum of these practices, thinning is recognized as an environmentally sustainable strategy. The primary objective of thinning is the equitable redistribution of aboveground growth, diverting resources from younger trees to promote the accelerated development of more valuable specimens compared to unthinned forests. Thinning, while fostering aboveground changes, induces substantial alterations in soil chemical and biochemical properties. This review addresses the often-debated consequences of thinning on soil characteristics, focusing on the intricate interplay involving different thinning intensities and their impact on soil chemical and biochemical parameters. Specifically, the analysis delves into the modulation of organic carbon levels, microbial biomass, and enzymes crucial to the organic matter cycle. Two key aspects are scrutinized: firstly, the influence of thinning intensity and the temporal dimension post-thinning on soil properties; secondly, the comparative impact of thinning intensity versus the time elapsed from the thinning event on soil properties and associated biological processes. The findings underscore pivotal insights: a) temporal dynamics significantly affect soil organic matter across broadleaved (excluding beech), coniferous, and mixed forests, manifesting as early as 2-7 years post-thinning; b) thinning intensity, up to a threshold of 50%, enhances soil quality by augmenting organic carbon content, bolstering microbial communities, and amplifying associated enzyme activities. This review consolidates valuable information for forest managers, providing guidance to optimize natural processes in tandem with achieving specific management objectives. By illuminating the nuanced interactions between thinning practices and soil dynamics, this knowledge equips stakeholders to make informed decisions in the pursuit of sustainable forest management and ecological resilience.

Preprint ARTICLE | doi:10.20944/preprints202408.0090.v1

Performance of a Combined Energy System Consisting of Solar Collector, Biogas Dry Reforming and Solid Oxide Fuel Cell – An Indian Case Study

Akira Nishimura, Ryotaro Sato, Ryota Nakajima, Eric Hu

Subject: Engineering, Energy And Fuel Technology Keywords: solar collector; temperature of simulated biogas; case study of installation in India; H2 production by dry reforming; power generation by SOFC

Online: 2 August 2024 (02:53:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2000.v1

Impact of Component Quality on Electronic Product Reliability and Environmental Sustainability

Eyal Weiss

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: electronics industry; reliability; MTBF; degraded components; CO2 emissions; e-waste; environmental impact; quality; inspection; sustainability; advanced inspection technology

Online: 28 August 2024 (09:14:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1449.v1

Controlled Hypoxia Acutely Prevents Physical Inactivity-Induced Peripheral BDNF Decline

Yves Duderstadt, Stefanie Schreiber, Johannes Burtscher, Lutz Schega, Notger G. Müller, Tanja Brigadski, Rüdiger Braun-Dullaeus, Volkmar Leßmann, Patrick Müller

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: BDNF; hypoxia; physical inactivity; cognition

Online: 20 June 2024 (12:59:02 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202402.1701.v1

Inferior Wall Double False Aneurysm as a Late Presentation of Acute Myocardial Infarction

Aleksander Zelias, Pawel Czub, Krzysztof Wróbel, Dominka Dykla, Anna Skwarek, Iwona Chrzan, Maria Bober, Malgorzata Urbanczyk-Zawadzka, Pawel Banys, Joanna Petryka-Mazurkiewicz, Tomasz Kula, Ryszard Gajdosz, Jerzy Sadowski, Dariusz Dudek

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: left ventricular free wall rupture; false aneurysm; tamponade; acute myocardial infarction; complication

Online: 29 February 2024 (12:52:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0659.v1

Changes in the Range of Four Advantageous Grasshopper Habitats in the Hexi Corridor Under Climate Change

Donghong Li, Huilin Gan, Xiaopeng Li, Huili Zhou, Hang Zhang, Yaomeng Liu, Rui Dong, Limin Hua, Guixin Hu

Subject: Biology And Life Sciences, Insect Science Keywords: grasshopper; MaxEnt; Climate change; Suitable areas; Hexi Corridor

Online: 12 February 2024 (10:27:33 CET)

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Oedaleus decorus asiaticus, Calliptamus abbreviatus, Angaracris rhodopa, and Myrmeleotettix palpalis are the main grasshoppers that harm the natural grassland in the Hexi Corridor. In this study, the MaxEnt model was employed to identify the key environmental factors affecting the distribution of the four grasshoppers habitats and to assess their distribution under current and future climate change conditions. The aim was to provide a basis for grasshopper monitoring, prediction, and precise control. In this study, 61 occurrences of O. decorus asiaticus, 68 occurrences of A. rhodopa, 58 occurrences of C. abbreviatus, and 92 occurrences of M. palpalis were recorded by GPS, and the distribution of suitable habitats for O. decorus asiaticus, C. abbreviatus, A. rhodopa, and M. palpalis were predicted under current and future climatic scenarios using a MaxEnt model. The average AUC and TSS values of the four grasshoppers were greater than 0.9, and the simulation results were excellent and highly reliable. The mean annual precipitation was the main factor limiting the current range of suitable areas for these four species. Under the current climate, O. asiaticus, C. abbreviatus, and A. rhodopa were mainly distributed in the central and eastern parts of the Hexi Corridor, and M. palpalis was distributed throughout the Hexi Corridor, with a potential distribution area of 1.44×104, 1.43×104, 1.29×104, and 2.12×104 km2, accounting for 15.3, 15.2, 13.7, and 22.5% of the total area of the grasslands in the Hexi Corridor, respectively. The highly suitable areas of O. asiaticus, C. abbreviatus, and A. rhodopa were mainly distributed in the east-central part of Zhangye City, the western part of Wuwei City, and the western and southern part of Jinchang City, with areas of 0.35×104, 0.29×104, and 0.20×104 km2, accounting for 3.7, 3, and 2.2% of the grassland area, respectively. The high habitat of M. palpalis was mainly distributed in the southeast of Jiuquan City, the west, middle, and east of Zhangye City, the west of Wuwei City, and the west and south of Jinchang City, with an area of 0.32×104 km2, accounting for 3.4% of the grassland area. In the 2030s, the range of O. asiaticus, C. abbreviatus, A. rhodopa, and M. palpalis was predicted to decrease.

Preprint ARTICLE | doi:10.20944/preprints202409.0113.v1

Change Detection Techniques in Dense Point Clouds for Cultural Heritage Preservation: The Case Study of the San Pietro Barisano Bell Tower in Matera, Italy

Carmen Fattore, Sara Porcari, Arcangelo Priore, Vito Domenico Porcari

Subject: Engineering, Architecture, Building And Construction Keywords: Change detection; Dense Point Cloud; Cultural Heritage

Online: 2 September 2024 (16:59:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2209.v1

Gumbel–Logistic Unit Distribution with Application in Telecommunications Data Modeling

Vladica S. Stojanović, Mihailo Jovanović, Brankica Pažun, Zlatko Langović

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Unit distributions; Gumbel distribution; generalized logistic map; asymmetry; parameter estimation; quantiles; telecommunications

Online: 30 August 2024 (09:38:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1629.v1

Interstitial N-Doped TiO2 for Photocatalytic Methylene Blue Degradation under Visible Light Irradiation

Dezheng Li, Vilanculo Clesio Calebe, Yuqiao Li, Huimin Liu, Yiming Lei

Subject: Chemistry And Materials Science, Chemical Engineering Keywords: TiO2; nitrogen doping; photocatalytic activity; methylene bule degradation; visible light

Online: 22 August 2024 (08:57:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0918.v1

A Holistic Approach Tackling E-waste Management Using Ontology

Ahmed Tarek, Francesco Laviano, Debora Fino, Francesca Rubertelli, Claudio Toscano

Subject: Environmental And Earth Sciences, Waste Management And Disposal Keywords: Ontology; WEEE; Decision Support System; Waste management; Computational sustainability; Circular economy

Online: 13 August 2024 (13:17:16 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.2623.v1

The Impact of TMB on Immunotherapy Protocols: A Comprehensive Analysis of Four Major Cancers

ZGURA ANCA, Chipuc Stefania, Nicolae Bacalbasa, Haineala Bogdan, VALCEA SEBASTIAN, Rodica Maricela Anghel

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Tumor Mutational Burden (TMB); Immune Checkpoint Inhibitors (ICIs); Biomarkers; Cancer Immunotherapy; Cancer Treatment Outcomes; Personalized Medicine

Online: 2 August 2024 (11:50:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1375.v1

Evaluation of CacyBP/SIP Expression and Its Relationship With ERK1/2 and p38 Kinase in Testicular Seminoma

Grzegorz Młynarczyk, Natalia Domian, Alicja Lewandowska, Adam Novák, Irena Kasacka

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: CacyBP/SIP; ERK1/2; p38; seminoma; testis

Online: 17 July 2024 (04:56:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1021.v1

Blocking Thromboxane--Prostanoid Receptor Signaling Attenuates Lipopolysaccharide and Stearic Acid-Induced Inflammatory Response in Human PBMCs

Vinothkumar Rajamanickam, Cyrus V Desouza, Romilia Castillo, Saraswathi Viswanathan

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: thromboxane A2; inflammation; lipopolysaccharide; stearic acid; PBMC; ROCK

Online: 12 July 2024 (08:35:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0848.v1

Elucidating the Functional Roles of Long Non-coding RNAs in Alzheimer's Disease

Zhenyu Huang, Qiufen Chen, Xuechen Mu, Zheng An, Ying Xu

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: Alzheimer's disease; long non-coding RNAs; oxidative stress; Fenton reaction

Online: 10 July 2024 (23:57:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0228.v1

TLDM: An Enhanced Traffic Lights Detection Model Based on YOLOv5

Jun Song, Tong Hu, Zhengwei Gong, Youcheng Zhang, Mengchao Cui

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Traffic lights, unmanned systems, YOLOv5, mosaic-9, Squeezed-and-Excitation(SE), EIoU_loss

Online: 2 July 2024 (11:07:52 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.2018.v1

The Precision Medicine: Advancement and Transformation in Cancer Treatment

Samiksha Khobragade, Ujwal Vyas, Anil Pethe, Rahul G Ingle

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: Cancer; CRISPR-Cas9; immunotherapy; precision medicine; next generation sequences

Online: 29 June 2024 (04:53:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1930.v1

A Novel Active Resonance Fitting Model to Optimize the Energy Harvesting from Rotational Systems

Mohammed Hedaya, Taher Elyazied, Mohamed Elhadidi, Mahmoud Zakaria Ibrahim

Subject: Engineering, Control And Systems Engineering Keywords: Energy Harvestingl; Piezoelectric; Resonance; Optimization

Online: 27 June 2024 (08:20:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0199.v1

Time-Delay Dynamic Model and Cost-Effectiveness Analysis of Major Emergent Infectious Diseases with Transportation-Related Infections and Entry-Exit Screening

Yi Xie, Ziheng Zhang, Yan Wu, Shuang Li, Liuyong Pang, Yong Li

Subject: Biology And Life Sciences, Life Sciences Keywords: Transportation-related infection; Entry-exit screening; Basic reproduction number; Optimal control; Cost-effectiveness

Online: 4 June 2024 (14:08:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.2088.v1

Nitrogen-Mineralization of Selected Organic Materials and Their Combined Effects with Nitrogen Fertilizer on Spinach Yield

Sibongiseni Mgolozeli, Adornis D. Nciizah, Isaiah I.C. Wakindiki, Fhatuwani F. Mudau

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Integrated Nutrient Management; Soil Texture; Incubation study; Glasshouse experiment; Spinach yield

Online: 31 May 2024 (08:10:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0858.v1

Development and Evaluation of the Online Hybrid Model CAMx-LPiG

Andrea Piccoli, Valentina Agresti, Giovanni Lonati, Guido Pirovano

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Air Quality, Hybrid modelling, Road Traffic, Plume in Grid, CAMx, Urban Air Quality

Online: 13 May 2024 (13:14:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0413.v1

Insect Protein as a Component of Meat Analogue Burger

Anna Krawczyk, Juana Fernández-López, Anna Zimoch-Korzycka

Subject: Biology And Life Sciences, Food Science And Technology Keywords: edible insect; Alphitobius diaperinus; alternative protein source; consumer acceptance; quality properties; texture profile

Online: 7 May 2024 (15:55:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1803.v1

Preparation and Printing Performance of Visible Light Photo-chromic Paper based on PMoA-PWA/ZnO/PVP Composite

Wanqing Zhao, Hongmei Zhao, Wei Feng, Honggang Zhao

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: Heteropoly acid; ZnO; Visible light photochromic paper; Printing Performance

Online: 28 April 2024 (08:03:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1344.v1

Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting

Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, Dimitrios Bargiotas, Lefteri H. Tsoukalas

Subject: Engineering, Electrical And Electronic Engineering Keywords: Deep Transfer Learning; Electricity Load Forecasting; Multilayer Perceptron; Convolutional Neural Network; Ensemble Deep Learning; Multi-task Deep Learning; Exploratory Data Analysis

Online: 19 April 2024 (15:58:08 CEST)

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Electricity load forecasting is a crucial undertaking within all the deregulated markets globally. In contemporary times, the transition from conventional electricity grids to Smart Grids constitutes an area where extensive research is conducted on a global scale. Among the research challenges, the investigation of Deep Transfer Learning (DTL) in the field of electricity load forecasting represents a fundamental effort that imparts generality to Artificial Intelligence applications, due to new capabilities, such as knowledge transfer and computational power reduction. In this paper a comprehensive study is conducted for day-ahead electricity load forecasting. For this purpose, three Sequence-to-Sequence (Seq2seq) Deep Learning (DL) models are used, namely the Multilayer Perceptron (MLP), the Convolutional Neural Network (CNN) and the Ensemble Learning Model (ELM), which is consisted of the weighted combination of the outputs of MLP and CNN models. Also, the study focuses on the development of different forecasting strategies based on DTL and emphasizing the way the datasets are trained and fine-tuning for higher forecasting accuracy. In order to implement the forecasting strategies using Deep Learning models, load datasets from three Greek islands, Rhodes, Lesvos, and Chios, are used. The main purpose is to apply DTL for day-ahead predictions (1-24 hours) for each month of the year for Chios dataset after training and fine-tuning the models using the datasets of the three islands in various combinations. After several trials, four DTL strategies are illustrated. In the first strategy (DTL Case 1), each of the three DL models is trained using only Lesvos dataset, while fine-tuning is performed on the dataset of Chios island, in order to create day-ahead predictions for Chios load. In the second strategy (DTL Case 2), data from both Lesvos and Rhodes concurrently are used for the DL model training period, and fine-tuning is performed on the data from Chios. The third DTL strategy (DTL Case 3) contains the training of the DL models using Lesvos dataset, and the testing period performed directly on the Chios dataset without fine-tuning. The fourth strategy is a Multi-task Deep Learning (MTDL) approach, which has been extensively studied in recent years. In MTDL, the three DL models are trained simultaneously on all three datasets and the final predictions are made on the unknown part of the dataset of Chios. In this paper, we explore the performance of DTL and compare the results with those produced with MTDL. The results demonstrated that DTL can be applied with high efficiency for day-ahead load forecasting. Specifically, the two cases with fine-tuning (DTL Case 1 and 2) outperformed MTDL in terms of load prediction accuracy. Regarding the DL models, all three exhibit very high prediction accuracy, especially in the two cases with fine-tuning. The ELM excels compared to the single models. More specifically, for conducting day-ahead predictions, it has been concluded that the MLP model presents best monthly forecasts with a MAPE of 6.24% and 6.01% for the first two cases, the CNN model presents best monthly forecasts with a MAPE of 5.57% and 5.60% respectively and the ELM model achieves best monthly forecasts with a MAPE of 5.29% and 5.31%, respectively, indicating the very high accuracy it can achieve.

Preprint ARTICLE | doi:10.20944/preprints202404.0821.v1

CSN1S1, CSN3 and LPL, Three Validated Gene’s Polymorphisms Useful for a More Sustainable Dairy Production in the Mediterranean River Buffalo

Alfredo Pauciullo, Giustino Gaspa, Yi Zhang, Qingyou Liu, Gianfranco Cosenza

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: Mediterranean river buffalo; CSN1S1; CSN3; LPL; SCD; milk traits; validation study

Online: 11 April 2024 (14:53:59 CEST)

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The search of DNA polymorphisms useful for the genetic improvement of dairy farm animals lasts more than 40 years with relevant findings in cattle for milk traits, where the best combination of alleles for dairy processing have been found in casein genes and in the DGAT1. Nowadays, similar results are not reached yet in river buffaloes despite advanced genomic technologies and accurate phenotype records are available. The aim of the present study was to investigate and validate in a larger buffalo population the effect on six milk traits of four single nucleotide polymorphisms (SNP) in the CSN1S1, CSN3, SCD and LPL genes, previously reported to be associated with or affect dairy traits in smaller populations often belonging to one farm. A total of 800 buffaloes were genotyped. Daily milk yield (dMY, kg), protein yield (dPY, kg) and fat yields (dFY, kg), fat and protein contents (dFP, % and dPP, %), somatic cell count (SCC, 103cell/ml) and urea (mg/dl) were individually recorded in each month for the whole lactation from 2010 to 2021. A total of 15,742 individual milk test day records (2,496 lactations) were available on 680 buffalo cows with 3.6±1.7 parity (from 1 to 13) and 6.1±1.2 test day records per lactation on average. Three out four SNP in CSN1S1, CSN3 and LPL were associated with at least one of analyzed traits. In particular, the CSN1S1 (AJ005430:c.578C>T) gave favorable associations with all yield traits (dMY, p=0.022; dPY, p=0.014 ; dFY, p=0.029) and SCS (p=0.032), whereas the CSN3 (HQ677596: c.536C>T) positively associated with SCS (p=0.005) and milk urea (p=0.04). Favorable effect on dMY (p=0.028), dFP (p=0.027) and dPP (p=0.050) were observed for the LPL. Conversely, SCD did not show any association with milk traits. This is the first example of confirmation study carried out in the Mediterranean river buffalo for genes of economic interest in dairy field and it represents a very important indication for the preselection of young bulls destined to breeding programs in the view of a more sustainable dairy production.

Preprint ARTICLE | doi:10.20944/preprints202404.0483.v1

Revolutionizing TB Diagnosis: Intelligent Microscopy and Image Recognition for Enhanced Acid-Fast Bacilli Detection

Wen-Chuan Chen, Yusen Eason Lin

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: TB smears; AI; machine learning; TB Diagnosis; STOP TB

Online: 8 April 2024 (10:26:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0446.v1

Exploring the Relationship between Melioidosis Morbidity Rate and Local Environmental Indicators Using Remotely Sensed Data

Jaruwan Wongbutdee, Jutharat Jittimanee, Suwaporn Dandee, Pongthep Thongsang, Wacharapong Saengnill

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Geographically Weighted Poisson Regression; Google earth engine; Spatial model; Burkholderia pseudomallei

Online: 5 April 2024 (14:21:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0027.v1

Framework to Create Dataset for Disaster Behavior Analysis using Google Earth Engine: A Case Study in Peninsular Malaysia for Historical Forest Fire Behavior Analysis

Yee Jian Chew, Shih Yin Ooi, Ying Han Pang, Zheng You Lim

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Disaster behavior; forest fire behavior; forest fire dataset; data extraction framework; Google Earth Engine; remote sensing; Malaysia; ChatGPT; Noteable; Large Language Model

Online: 1 April 2024 (10:35:32 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.0045.v1

Effect of Bleaching Agents on Healthy Enamel, White Spots, and Carious Lesions: A Systematic Review and Meta- Analysis.

Grigoria Gkavela, Vlassios Kakouris, Eftychia Pappa, Christos Rahiotis

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: systematic review, bleaching agents, carious lesions, white spots, enamel microstructure.

Online: 1 April 2024 (10:12:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1733.v1

Improvement of Raw and Pasteurized Milk Quality Through the Use of Lactoperoxidase System (LPS) Along Dairy Value Chain Under Real Condition in Ethiopia

Tigist Ashenafi, Haftom Zebib, Ashagrie Zewdu Woldegiorgis

Subject: Biology And Life Sciences, Food Science And Technology Keywords: LPS; Total Bacterial Count; Raw Milk; Pasteurized Milk; E.coli

Online: 29 March 2024 (04:42:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1337.v1

Evolutionary Game Analysis on Cooperative Behavior of Major Projects’ Technology Innovation Subjects under General Contracting Mode

Yuan Rui Jia, Wang You Xin, Qian Ying Miao, Yu Xian An

Subject: Business, Economics And Management, Business And Management Keywords: general contracting mode; major projects; technology innovation; reputation effect; evolutionary game

Online: 22 March 2024 (11:19:53 CET)

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