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Preprint ARTICLE | doi:10.20944/preprints202307.0933.v1

A Conclusive Model-Fit Current-Voltage Characteristics Curves with Kink Effects

Hsin-Chia Yang, Sung-Ching Chi

Subject: Engineering, Electrical And Electronic Engineering Keywords: Keywords: kink effect, solitary wave, phonons

Online: 13 July 2023 (11:49:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1931.v1

An Android Based Internet Of Medical Things Adaptive User Authentication And Authorisation Model For The Elderly

Prudence M Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

Subject: Computer Science And Mathematics, Security Systems Keywords: Elderly Patients; SSA; Chronic-ailments; Risk-Calculation; Adaptive-Authentication; Smartphone; Usable-Security

Online: 27 August 2024 (07:11:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0917.v1

A Comparative Experimental and Computational Study on the Nature of the Pangolin-CoV and COVID-19 Omicron

Lai Wei, Lihua Song, A. Keith Dunker, James A. Foster, Vladimir N. Uversky, Gerard Kian-Meng Goh

Subject: Biology And Life Sciences, Virology Keywords: coronavirus; COVID; intrinsic disorder; membrane; nucleocapsid; nucleoprotein; Omicron; pangolin; shell; long COVID; Delta; attenuation; virulence; variant; XBB; AI; Artificial Intelligence; vaccine

Online: 15 March 2024 (14:43:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.1768.v1

Implementation of Portable Digital Chest X-Ray Machine for Tuberculosis Contact Tracing in Oyo and Osun States, Nigeria: A Formative Assessment

Aderonke Agbaje, Patrick Dakum, Olugbenga Daniel, Anyaike Chukwuma, Obioma Chijoke-Akaniro, Evaezi Okpokoro, Samuel Akingbesote, Christian Anyomi, Adekola Adekunle, Abiola Alege, Moroof Gbadamosi, Olutunde Babalola, Mensah Charles, Rupert Eneogu, Austin Ihesie, Debby Nongo, Ademola Adelekan

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Keywords Tuberculosis; Contact investigations; Portable X-ray machine

Online: 27 May 2024 (14:28:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201610.0013.v1

Analysis of Drought Characteristics using Time Series of Modified SPEI in South Korea from 1981 to 2010

Seungjong Bae, Sang-Hyun Lee, Seung-Hwan Yoo, Taegon Kim

Subject: Engineering, Civil Engineering Keywords: drought; SPEI; evapotranspiration; Thornthwaite; FAO Penman-Monteith

Online: 6 October 2016 (13:04:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1271.v1

Surface Development of PET Films Using Low-Pressure, High-Frequency Ar + O2 Plasma on Zinc Powder for Dye-Sensitized Solar Cells

Poonthong Wittawat, Nat Kasayapanand, Narong Mungkung, Khanchai Tunlasakun, Somchai Arunrungrusmi, Nuttee Thungsuk, Tanes Tanitteerapan, Toshifumi Yuji, Threerapong Maneepen, Apidat Songruk

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: PET films; Zinc powder; Ar+O2 plasma; RF power; LPCVD; DSSCs

Online: 16 July 2024 (07:34:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.2591.v1

Study of Contactless Computer Vision-based Road Condition Estimation Methods within the Framework of an Operational Design Domain Monitoring System

Ramakrishnan Subramanian, Ulrich Büker

Subject: Engineering, Automotive Engineering Keywords: operational design domain; ODD monitoring system; ODD exit; road condition estimation; CNN; image processing; Computer vision; Deep learning

Online: 1 August 2024 (05:29:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0755.v1

Determining the Position and Role of Isfahan Chamber of Commerce, Industries, Mines and Agriculture in the Porter’s Diamond Model

Sina Pournayebzadeh, Manoucher Ansari, Hossein Ashrafi

Subject: Business, Economics And Management, Business And Management Keywords: International Chamber of Commerce (ICC) – Porter’ s Diamond Model - Isfahan Chamber of Commerce; Industries; Mines and Agriculture; Non-Governmental Organization (NGO); Iran Chamber of Commerce; Industries; Mines &; Agriculture (ICCIMA); Competitiveness

Online: 12 August 2024 (12:29:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1804.v1

Experimental and Theoretical Analysis of Rayleigh and Leaky-Sezawa Waves Propagating in ZnO/Fused Silica Substrates

Cinzia Caliendo, Massimiliano Benetti, Domenico Cannatà, Farouk Laidoudi

Subject: Physical Sciences, Acoustics Keywords: ZnO; fused silica; Rayleigh wave; split finger IDTs; Sezawa wave; FEM study; propagation loss; K²

Online: 26 June 2024 (10:00:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0779.v1

Prediction of Rock and Mine Using Machine Learning Algorithms

Rohit Kumar, Shashank Mishra, Saurabh Kumar Ojha, Shubham Kumar, Ashwini Kumar Verma

Subject: Engineering, Other Keywords: Keywords- SONAR; Supervised Machine learning; KNN; SVM; logistic regression

Online: 13 May 2024 (12:30:51 CEST)

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ABSTRACT Underwater mines may destroy friendly submarines and marine habitats, compromising nonmilitary security. Finding credible information is vital to avoiding scams and spotting hazards. This article employs Supervised Machine literacy models to appropriately categorize subsea items like mines or gems based on Sonar sounds. Python constructs three double classifier models using Gorman and Sejnowski (1988) training data. Through the extraction of key aspects from the Sonar signals, such as spectral components and intensity, the models are able to match newly obtained data with the gemstone order or mine. Delicacy decreases the chance of misidentifications in nonmilitary activities. Machine literacy offers full validation that accommodates real-world Sonar data noise and unpredictability. Based on test results, the highest performing algorithm will deliver the required ratio of accuracy to perceptivity for the bracket task. Central keywords: vaticination model, bracket algorithms, supervised machine literacy, SONAR, and aquatic mining emphasize particular foundations. Improved sophistication in spotting undersea Mines let nonmilitary defence systems respond to proven threats only, preventing friendly submarines or sea life from unnecessary damage owing to false duplicity. This work is a promising start to real-world mine detection devices. Further developments may incorporate greater training data sets, real-time testing on subsea platforms equipped with integrated sonar, and optimization for the discovery of new mine-types. Overall, machine learning and Sonar vision decrease signal fluctuation and noise, making it easier to determine accurate boundaries for non-military applications and environmental protection. The recommended automated discovery technique must balance computational efficiency, generalizability, and delicacy. Prior a real crime, new quality control and verification procedures could boost trust even further.

Preprint REVIEW | doi:10.20944/preprints201806.0134.v1

Chronic Pediatric Pain in Low and Middle Income Countries

Camila Walters, Matthew Kynes, Jenna Sobey, Tsitsi Chimhundu-Sithole, Kelly McQueen

Subject: Medicine And Pharmacology, Anesthesiology And Pain Medicine Keywords: chronic pediatric pain; low income country; middle income country; low and middle income country; pediatric palliative care.

Online: 8 June 2018 (12:45:24 CEST)

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Preprint REVIEW | doi:10.20944/preprints202403.1610.v1

Transforming African Healthcare with AI: Paving the Way for Improved Health Outcomes

ANGYIBA ANDIGEMA, NGNOTOUOM NGNOKAM Tania Cyrielle, MAFO KAMGA Lethicia Danaëlle, EWANE Ekwelle

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: African Healthcare; Artificial Intelligence; Health Outcomes; Resource Constraints; Collaboration; Innovation

Online: 27 March 2024 (16:07:28 CET)

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Preprint REVIEW | doi:10.20944/preprints202403.0360.v1

Harnessing the Power of Artificial Intelligence in Climate Change Mitigation: Opportunities and Challenges for Public Health

ANGYIBA ANDIGEMA, NGNOTOUOM NGNOKAM TANIA CYRIELLE, MAFO KAMGA Lethicia Danaëlle, EWANE Ekwelle

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial intelligence, climate change, public health, disaster preparedness, disease surveillance

Online: 6 March 2024 (12:06:14 CET)

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Artificial intelligence (AI) has emerged as a powerful tool for addressing the challenges posed by climate change and their impact on public health. By leveraging its capacity to analyze and predict climatic patterns, AI offers opportunities to enhance resource management and develop effective strategies for climate change mitigation. Moreover, AI can contribute to generating sustainable solutions that address the complex and interconnected nature of climate change. For example, AI can enable the optimization of energy consumption and facilitate the integration of renewable energy sources into existing systems. It can also support the development of climate models that provide timely and accurate predictions, enabling policymakers to implement proactive measures for disaster preparedness and response. Furthermore, AI-powered disease surveillance and mitigation techniques can improve public health outcomes by identifying patterns and trends in the spread of diseases in relation to climatic factors.However, the widespread adoption of AI-based solutions is not without challenges. Ethical concerns surrounding privacy and data ownership must be addressed, as the use of AI requires access to large datasets, raising potential privacy risks. Technical constraints, such as limited computational power and the need for sophisticated algorithms, also pose obstacles to the implementation of AI in climate change mitigation strategies. Furthermore, issues related to the accessibility and affordability of AI technologies must be resolved to ensure equitable distribution and maximize its potential impact on public health.To fully harness the power of AI in addressing climate change and improving public health outcomes, it is crucial to promote innovation, multidisciplinary collaboration, and open data science. Innovation can drive the development of new AI algorithms and technologies specifically tailored to address climate change challenges. Multidisciplinary approaches that bring together experts from diverse fields, including climate science, public health, and computer science, can foster a holistic understanding of complex systems and enable the design of comprehensive solutions. Finally, open data science practices, such as sharing data and algorithms, can facilitate collaboration and accelerate progress in mitigating climate change and its public health impacts.In conclusion, AI offers promising opportunities for effectively addressing climate change and its impact on public health. However, to fully realize its potential, it is essential to tackle ethical and privacy concerns, overcome technical constraints, and ensure accessibility and affordability. By promoting innovation, multidisciplinary collaboration, and open data science, we can unlock the transformative power of AI in mitigating climate change and improving public health outcomes.

Preprint CONCEPT PAPER | doi:10.20944/preprints202409.1063.v1

Fractal Calculus Facilitates Rethinking 'Hard Problems'; A New Research Paradigm

BRUCE West

Subject: Biology And Life Sciences, Other Keywords: Fractal Paradigm; fractal calculus; heart rate variability (HRV); Levy statistics; control hypothesis; sinoatrial node control

Online: 13 September 2024 (08:24:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1275.v1

Numerical Algorithms for Divergence-Free Velocity Applications

Giacomo Barbi, Antonio Cervone, Sandro Manservisi

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: divergence-free velocity; Raviart-Thomas finite elements; mass conservation

Online: 16 July 2024 (10:15:03 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202403.0342.v1

Three-Step Synthesis of N-(7-chloro-4-morpholinoquinolin-2-yl)benzamide from 4,7-Dichloroquinoline

Deiby F. Aparicio Acevedo, Marlyn C. Ortiz Villamizar, Vladimir V. Kouznetsov

Subject: Chemistry And Materials Science, Organic Chemistry Keywords: 4,7-dichloroquinoline; N-oxides; C– H bond functionalization; C2-amidation reaction; C4 SNAr reaction; N-(quinolinyl)morpholines; N-(quinolinyl)amides; Lipinski’ descriptors

Online: 6 March 2024 (12:02:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints201905.0345.v1

Alzheimer's in Post-Industrial Epoch

Alexander Kholmanskiy

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: mortality; Alzheimer's; education; life expectancy; mentality; level of development

Online: 29 May 2019 (08:39:53 CEST)

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Working Paper BRIEF REPORT

Preliminary Evaluation of Cannabidiol Use in an Asian Elephant: Brief Report

Flor Ortiz, Mish Castillo, Quetzalli Hernández, Carlos Flores

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Asian elephant; Elephas maximus; cannabidiol; cannabis; CBD; endocannabinoid system

Online: 16 June 2021 (11:59:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202010.0222.v1

Short-term Thermal Changes Affect Parasitism on Asian Chestnut Gall Wasp

Carmelo Peter Bonsignore, Giusi Vizzari, Gregorio Vono, Umberto Bernardo

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Chestnut; climate thermal fluctuations; Cynipidae; Dryocosmus kuriphilus; Eupelmus spp.; fitness; host-parasitoid relationship

Online: 12 October 2020 (10:18:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0500.v1

Improving Seasonal Prediction of East Asian Summer Rainfall: Experiments with NESM3.0

Young Min Yang, Bin Wang, Juan Li

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: East Asian summer monsoon, Seasonal prediction, dynamic prediction, summer rainfall prediction, NESM3.0, ENSO teleconnection

Online: 29 August 2018 (13:42:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1371.v1

Female Marginalized Professions of Late Medieval European Society

Anna Peirats

Subject: Arts And Humanities, History Keywords: marginalization; healers; witches; brothel; repentance; sinners

Online: 19 December 2023 (09:24:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints201704.0078.v1

Diabetogenic Effects of Ochratoxin A in Female Rats

Firdevs Mor, Omur Sengul, Senay Topsakal, Mehmet Akif Kilic, Ozlem Ozmen

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: Ochratoxin A, insulin, glucagon, glucose, rat plasma, pathology, immunohistochemistry

Online: 13 April 2017 (11:46:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1834.v1

Ethnomedicinal Uses, Phytochemistry, and Pharmacological Activity of the Irvingia Species

Branly-Natalien Nguena-Dongue, Boniface Pone Kamdem, Paul Keilah Lunga, Fabrice Fekam Boyom

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: Keywords: Irvingia spp.; Ethnomedicinal uses; Phytochemistry; Pharmacological activity; Toxicity

Online: 28 August 2023 (09:35:56 CEST)

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Preprint REVIEW | doi:10.20944/preprints202307.0144.v1

An Updated Overview of Existing Cancer Databases and Identified Needs

Brittany Austin, Ali Firooz, Homayoun Valafar, Anna V. Blenda

Subject: Medicine And Pharmacology, Other Keywords: Keywords: Cancer; database; genomic, proteomic, lipidomic, glycomic, clinical trials.

Online: 4 July 2023 (08:37:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1594.v1

In Vivo Absorption Spectra as Predictors of Algal Biomass and Pigment Content of the Cultured Microalgae Amphidinium carterae, Isochrysis galbana, Nephroselmis sp. and Anabaena sp.

George N. Hotos, Vlasoula Bekiari

Subject: Biology And Life Sciences, Aquatic Science Keywords: Keywords microalgae; pigments; Amphidinium; Isochrysis; Nephroselmis; Anabaena; absorption spectrum.

Online: 22 June 2023 (10:48:04 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.1839.v1

Ex Vivo Intestinal Organoid Models: Current State-of-the-Art and Challenges in Disease Modelling and Therapeutic Testing

Sarron Randall-Demllo, Ghanyah Al-Qadami, Anita E. Raposo, Chenkai Ma, Ilka Priebe, Maryam Hor, Rajvinder Singh, Kim Y.C. Fung

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: intestinal organoid; 3D culture; colorectal cancer; organ-on-a-chip; disease modelling; therapeutic screening; ex vivo models

Online: 24 September 2024 (04:46:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1904.v1

Key Drivers of Consumption, Conceptual, Sensory, and Emotional Profiling of Cheeses Based on Origin and Consumer Familiarity: A Case Study of Local and Imported Cheeses in Greece

Malamatenia Panagiotou, Efstathios Kaloudis, Danai Ioanna Koukoumaki, Vasiliki Bountziouka, Evangelia Giannakou, Margarita Pandi, Konstantinos Gkatzionis

Subject: Biology And Life Sciences, Food Science And Technology Keywords: cheese; social media; Flash Profile; focus groups; protected designation of origin

Online: 24 July 2024 (08:06:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1844.v1

Analyzing EU’s Agricultural Sector and Public Spending Under Climate Change

Gheorghița Dincă, Ioana Cătălina Netcu, Asmaa El-Naser

Subject: Social Sciences, Government Keywords: climate change; public spending; agriculture sector; GMM

Online: 30 October 2023 (06:06:16 CET)

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Preprint REVIEW | doi:10.20944/preprints202206.0285.v1

Analysis of Blockchain in the Healthcare Sector: Application and Issues

Ammar Odeh, Ismail Keshta, Qasem Abu Al-Haija

Subject: Computer Science And Mathematics, Analysis Keywords: Blockchain; Healthcare; Privacy; Cybersecurity; Healthcare-records

Online: 21 June 2022 (05:05:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0038.v1

Environmental Factors Affecting Requirements for Wind Power Stations

Olga Orynycz, Paweł Ruchała, Karol Tucki, Andrzej Wasiak

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: wind turbine; efficiency; power, environmental

Online: 1 March 2024 (12:33:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1531.v1

Malicious Office Macros Detection: Combined Features with Obfuscation and Suspicious Keywords

Xiang Chen, Wenbo Wang, Weitao Han

Subject: Computer Science And Mathematics, Security Systems Keywords: malicious document; VBA; macro; obfuscation; suspicious keywords; machine learning

Online: 22 September 2023 (09:12:01 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.2248.v1

The Importance of Neutrophils in Osteoarthritis: Current Concepts and Therapeutic Perspectives

Yeganeh Mehrani, Rasool Rahimi, Solmaz Morovati, Hossein Mehrani, Negar Karimi, Samaneh Ghasemi

Subject: Medicine And Pharmacology, Veterinary Medicine Keywords: Keywords: Osteoarthritis, Neutrophil, Innate Immunity, Neutrophil Extracellular Traps (NET).

Online: 31 May 2023 (12:55:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1855.v1

Antimicrobial Susceptibility of Uropathogenic Escherichia coli with Analysis of Impact of Socio-Economic Factors in Low, Medium and High-Income Countries

Meher Rizvi, Maria Khan, Amina AL Jardani, Ujjala Ghoshal, Zaaima AL Jabri, Mohammad Ahanjan, Azza AL Mamari, Nawal AL Shizawi, Hiba Sami, Abdullah Balkhair, Adila Shaukat, Alwarith Nasser Salem Alkharusi, Abdulrahman Almahrouqi, Afreenish Hassan, Ajay Kumar, Amal Malehi, Amina Gul, Ashima Singh, Asma Said Hamed AL Shidhani, Areena Hoda Siddiqui, Aruna Poojary, Azza AL Rashdi, Bradley Langford, Dmytro Stepanskyi, Abbas Dolatabadi, Aisha Al Mufraji AL Mufraji, Elham Said Ahmed AL Risi, Garima Kapoor, Isabella Princess, Hatim Ali Eltahir, Hilal Al Sidairi, Kaitlyn Dougherty, Katia Iskandar, Ken Masters, Ibrahim Khalaf Hamdan AL Busaidi, Laila AL Yazidi, Mahfuza Nasrin, Mahmood Salim AL Subhi, Mallika Sengupta Mallika Sengupta, Manisha Khandait, Nada Khalfan AL Tamtami, Nada Khafan Alsiyabi, Nawal AL Kindi, Nazla Musthafa Luthfee, Neha Shreshtha, Nihal Mohamed Amur AL Riyami, Noora Hilal Ali AL Busaidi, Nupur Goel, Oksana Ishchenko, Omnia Mohamed Elnabawy Ahmed Taher, Pragnya Paramita Jena, Rajni Ekadashi, Razan Zadjali, Reba Kanungo, Sara Abolghasemi, Salima Al-maqbali, Sanjay Jaju, Sayantan Banerjee, Shadma Yaqoob, Shahnaz Sali, Shafqat Husnain Khan, Shalini Malhotra, Stephen Hughes, Sundas Shaukat, Syed Mohammed Atif, Vrushali Vishwas Patwardhan, Victorien Dougnon, Wahid Khan, Walid Wali, Zakariya AL Muharrmi, Zeeshana Basit, Jasashree Choudhury, Rachita Pravalina, Sanjeev Singh, Sarman Singh, Neelam Taneja, Raman Sardana, Pawan Kapoor, Rajeev Soman, Rashid Al Abri

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: community acquired UTI; Escherichia coli; antimicrobial susceptibility; Indian subcontinent; MENA; GDP; temperature

Online: 24 September 2024 (12:32:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1482.v1

A High-Performance Microwave Heating Device Based on a Coaxial Structure

Jintao Duan, Wei Xiao, Guilan Liu, Fengming Yang, Huacheng Zhu, Yang Yang

Subject: Engineering, Electrical And Electronic Engineering Keywords: microwave heating; coaxial waveguide; continuous-flow; heating efficiency; heating uniformity

Online: 21 August 2024 (09:41:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0224.v1

DEVELOPING A PATIENT-CENTERED COMMUNITY-BASED MODEL FOR MANAGEMENT OF DRUG RESISTANT TUBERCULOSIS IN RURAL EASTERN CAPE: A COLLABORATIVE APPROACH OF HEALTH CARE FACILITIES, DIAGNOSTIC LABORATORIES AND RESEARCH INSTITUTIONS

LINDIWE MODEST FAYE, Carine Bokop, Sandeep Vasaikar, Teke Apalata, Ntandazo Dlatu

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Keywords: Model; Drug resistance TB, Collaboration and Integration

Online: 3 August 2023 (08:17:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1784.v1

Green Roof Substrate Microbes: Stress-Tolerant Communities Characterized by the Aeromicrobiome?

Thomas Van Dijck, Vincent Stevens, Laure Steenaerts, Sofie Thijs, Carmen Van Mechelen, Tom Artois, François Rineau

Subject: Environmental And Earth Sciences, Soil Science Keywords: bacteria; fungi; microbes; urban; green roof; Aeromicrobiome

Online: 28 March 2024 (14:25:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.0345.v1

A Positioning Alarm System for Explosive Impact Debris Protective Suit Based on Accelerometer Array

Jianing Hu, Chaoran Liu, Xucong Wang, Zai Wang, Xin Tong, Fangqi Li, Zhenyu Jin, Xiaoyuan Wang, Lufeng Che, Jing Yu, Defei Yao, Gaofeng Wang, Linxi Dong

Subject: Engineering, Safety, Risk, Reliability And Quality Keywords: Protection suit; debris positioning alarm system; accelerometer array; real-time monitoring

Online: 6 June 2024 (04:57:30 CEST)

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Preprint REVIEW | doi:10.20944/preprints202008.0234.v1

Green Catalysts: Applied and Synthetic Photosynthesis

Alexandra H. Teodor, Benjamin D. Sherman, Zeah Yvette Ison, Eu-Jee Ooi, Jesse J. Bergkamp, Barry D. Bruce

Subject: Chemistry And Materials Science, Applied Chemistry Keywords: Photosynthesis; Photoelectrochemical Devices; Biohybrid; Synthetic Biology; Photochemistry; Photoelectrochemistry; Hydrogen Evolution

Online: 10 August 2020 (04:20:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0716.v1

An Approach to Evaluate Healthcare Service Quality by Incorporating Linguistic Assessment and Computing

Wen-Pai Wang, Mei-Ling Huang, Yen-Chuan Ou

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Healthcare service quality; 2-tuple representation; heterogeneity; fuzzy linguistic computing; group multi-criteria decision-making

Online: 10 April 2024 (09:57:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1453.v1

Asian Flush Gene Variant Enhances Cellular Immunogenicity of COVID‐19 Vaccine: Prospective Study in the Japanese General Population

Sudarma Bogahawaththa, Megumi Hara, Takuma Furukawa, Chiharu Iwasaka, Takeshi Sawada, Goki Yamada, Mikiko Tokiya, Kyoko Kitagawa, Yasunobu Miyake, Yoshio Hirota, Akiko Matsumoto

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: ALDH2; rs67; COVID‐19; enzyme‐linked immunospot; cellular immunity; T cell

Online: 20 August 2024 (13:49:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1138.v1

Impact of Social Media Marketing Activities and ESG Green Brand Involvement on Green Product Repurchase

Tung-Lai Hu, Chuang-Min Chao, Chia-Hung Lin

Subject: Business, Economics And Management, Marketing Keywords: Social media marketing activities; green values; environmental concerns; brand image; brand involvement; repurchase intention

Online: 19 March 2024 (14:32:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0490.v1

Towards a MicroRNAs-Based Biomarker Panel for AIS: A Meta-Analysis

Nadia Alejandra Rivero-Segura, Juan Carlos Gomez-Verjan, Ricardo. Mathn Ramírez-Aldana

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: miRNAs; stroke; acute ischemic stroke; biomarkers; meta-analysis.

Online: 21 July 2021 (11:57:02 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.1974.v2

Bridging the Gap Between Black Box AI and Clinical Practice: Advancing Explainable AI for Trust, Ethics, and Personalized Healthcare Diagnostics

Dang Anh Tuan

Subject: Computer Science And Mathematics, Computer Science Keywords: Explainable AI (XAI); Healthcare diagnostics; Grad-CAM; SHAP; LIME; Trust in AI; Ethical AI; Bias mitigation; Regulatory compliance; Personalized care; AI interpretability; Clinical decision-making

Online: 27 September 2024 (12:31:01 CEST)

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Working Paper ARTICLE

Multi-Horizon Dependence between Crude Oil and East Asian Stock Markets and Implications in Risk Management

Xiaojing Cai, Shigeyuki Hamori, Lu Yang, Shuairu Tian

Subject: Business, Economics And Management, Finance Keywords: crude oil; East Asian stock markets; wavelet; copula; dynamic hedging

Online: 7 December 2019 (01:28:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0997.v1

The Work Ability Index (WAI) in the Healthcare Sector. A Cross-Sectional/Retrospective Assessment of the Questionnaire

Nicola Magnavita, Igor Meraglia, Giacomo Viti, Lorenzo Borghese

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: disability management; total worker health; psychometrics; medical surveillance; health promotion; musculoskeletal disorders; psychiatric disorders; ageing; gender differences; night work

Online: 19 February 2024 (16:03:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.1253.v1

The Roles Played by Environmental Sustainability and Innovation in the Rehabilitation of Abandoned Mining Sites

Viorel Gligor, Emanuela-Adina Nicula, Remus Cretan

Subject: Environmental And Earth Sciences, Environmental Science Keywords: environmental sustainability; mining sites; GIS; innovation; rehabilitation; mountain areas; Romania

Online: 18 April 2024 (13:56:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1488.v1

Residential Greenness, Lifestyle and Vitamin D: A Longitudinal Cohort of South Asian Origin and Caucasian Ethnicity Women Living in the South of the UK

Keila Valente de Souza Santana, Helena Ribeiro, Andrea Darling, Israel Henrique Ribeiro Rios, Susan Lanham-New

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Vitamin D, Ultraviolet radiation, Residential greenness, Ethnicity, Parathyroid hormone.

Online: 26 February 2024 (15:50:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.1463.v1

Statistical Analysis-Based Prediction Model for Fatigue Characteristics in Lap Joints considering Weld Geometry, including Gaps

Dong-Yoon Kim, Jiyoung Yu

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Lap welded joint; GMAW; fatigue characteristic prediction; regression model; joint gap; weld geometry

Online: 20 August 2024 (14:25:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0086.v1

Post-Pandemic Comparative Analysis of Quality of Life and Declared Physical Activity in Individuals With and Without Osteoarthritis.

Rodrigo Gallardo-Rodríguez, Felipe Poblete-Valderrama, Viviana Rodas-Kürten, Joao Paulo Vilas-Boas

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: Physical activity; Osteoarthritis; COVID-19; Older adults

Online: 1 August 2024 (13:33:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2112.v1

Sociodemographic Factors Related to Perceived Physical Activity on Chilean Adults: Consequences of Post-pandemic COVID-19 Movement Habits and Sedentary Lifestyle

Rodrigo Gallardo-Rodríguez, Felipe Poblete-Valderrama, Viviana Rodas-Kürten, J. Paulo Vilas-Boas

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: physical activity; sedentarism; COVID-19; sociodemographic

Online: 26 July 2024 (09:10:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2088.v1

The Case of Clean Customer Master Data for Customer Analytics: A Neglected Element for Data Monetization

Jasmin Singh, Heiko Gebauer

Subject: Business, Economics And Management, Business And Management Keywords: Customer analytics; data cleanliness; data harmonization; data integration; data monetization; digitization; digitalization; digital transformation; and; customer master data

Online: 25 July 2024 (16:53:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0571.v1

Electric Vehicle Routing Problem with States of Charging Stations

Gitae Kim

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: electric vehicle routing problem; states of charging stations; location routing problem; mathematical model; optimization

Online: 9 February 2024 (11:17:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.0611.v1

Plastid Phylogenetics, Biogeography and Character Evolution of the Chinese Endemic Genus Sinojackia Hu.

Xing Jian, Yuliang Wang, Qiang Li, Yongmei Miao

Subject: Biology And Life Sciences, Forestry Keywords: Sinojackia; Plastome; Species delimitation; Evolutionary history

Online: 13 May 2024 (04:31:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1089.v1

Analyzing the Influence of Speed and Jumping Performance Metrics on Percentage Change of Direction Deficit in Adolescent Female Soccer Players

Alberto Roso-Moliner, Oliver Gonzalo-Skok, Victor Emilio Villavicencio-Álvarez, Santiago Calero-Morales, Elena Mainer-Pardos

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: Sprint; football; women; multidirectional speed; team-sport

Online: 19 March 2024 (07:04:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1367.v1

The Quality of the Structural Domain of Tuberculosis Services at Public Health Facilities in Sidama Region, Southern Ethiopia: An Institution-Based Cross-Sectional Study Design

Amanuel Yoseph, Aschalew Arega, Tebeje Shume, Million Tucha, Temesigen Debessa, Belay Birhanu, Damene Guja

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Keywords: quality; structure; TB services; cross-sectional design; Sidama region; Ethiopia.

Online: 22 March 2024 (11:35:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.0657.v1

Impact of Alcalase Hydrolysis and Simulated Gastrointestinal Digestion on the Release of Bioactive Peptides From Erythrina edulis (Chachafruto) Proteins

Jessica L. Correa, Jose Edgar Zapata, Blanca Hernández-Ledesma

Subject: Biology And Life Sciences, Food Science And Technology Keywords: Erythrina edulis; enzymatic hydrolysis; in vitro gastrointestinal digestion; peptides; antioxidant; macrophages.

Online: 9 July 2024 (14:03:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2120.v1

Assessing the Appropriation of Space in Urban Green Spaces Before the COVID-19 Pandemic: Three Case Studies in Downtown Shanghai

Marcus Vinicius Sant’Anna, Wuzhong Zhou

Subject: Social Sciences, Urban Studies And Planning Keywords: use of space; appropriation of space; behavior mapping; urban green space

Online: 26 September 2024 (14:48:36 CEST)

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Preprint REVIEW | doi:10.20944/preprints202403.0188.v1

Hox Gene Collinearity with Pulling Physical Forces Create a Hox Gene Clustering in Embryos of Vertebrates, Invertebrates, Complete or Split Clutters

Spyros Papageorgiou

Subject: Biology And Life Sciences, Biophysics Keywords: Keywords: Hox gene collinearity; temporal collinearity; Noether Theory; self similarity; double strand break; split Hox clusters; chicken limb growth.

Online: 5 March 2024 (09:11:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.1911.v1

Major and Trace Elements in Soils from an Industrial Area in the Lower Danube Basin: Levels, Transfer to Crops (Wheat, Corn, Sunflower) and Health Risk

Antoaneta Ene, Sorina Simona Moraru, Dana Iulia Moraru, Ana Pantelica, Steluta Gosav, Ceoromila Alina-Mihaela

Subject: Environmental And Earth Sciences, Soil Science Keywords: soil; wheat; sunflower; corn; trace elements; pollution; heavy metals; bioaccumulation factor; Lower Danube Basin; health risk

Online: 29 May 2024 (08:33:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0374.v1

Financial Stability and Innovation: The Role of Non-Performing Loans

Massimo Arnone, Alberto Costantiello, Angelo Leogrande, Cosimo Magazzino

Subject: Business, Economics And Management, Finance Keywords: Non-Performing Loans; Banking stability; Innovation; k-Means

Online: 6 August 2024 (12:36:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0491.v1

Economic Policy Uncertainty and Financial Innovation: Is There Any Affiliation?

Zeng Jia, Besnik Hajdari, Rimsha Khalid, Jianguo Wei, Md Qamruzzaman

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Financial Innovation; Economic Policy Uncertainty; ARDL; NARDL; Toda-Yamamoto

Online: 18 November 2020 (23:53:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0783.v2

Assessing Drought Frequency and Predictive Climate Analysis in two Biosphere Reserves of Benin (West Africa)

Hubert O. Dossou-Yovo, Abdel Aziz Osseni, Sami Asir Al-Robai, Apollon D. M. T. Hegbe, Brice Sinsin

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Climate change; drought, mitigation; pendjari; predictive analysis; reserves

Online: 7 December 2023 (08:24:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints201702.0001.v1

The Paradox of Perception and Knowledge of Flood Victims towards Flood Causes

M.S. Shaharudin, Nik Norulaini Nik Ab Rahman, M.I. Syakir, M. Tajul Arifin, Mohd Omar Ab Kadir

Subject: Social Sciences, Cognitive Science Keywords: Floods; victims; perception and knowledge; individual characteristic

Online: 1 February 2017 (10:39:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1254.v1

Integration of AI in the Banking Sector

Abdul-sobur Sardauna, Arif Ali

Subject: Business, Economics And Management, Business And Management Keywords: Artificial intelligence; Banking industry; Financial sector; Chat Bots; Customer experience ;

Online: 17 September 2024 (06:16:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202312.1423.v1

COVID-19 Impacts on Mexican Power Sector

Lizbeth Salgado-Conrado, Carlos Álvarez-Macías, Laura-Andrea Pérez-García, Rodrigo Loera-Palomo

Subject: Engineering, Energy And Fuel Technology Keywords: Consumption; demand; installed capacity; SEN

Online: 19 December 2023 (14:11:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0629.v1

Liquidity Synchronization, its Determinants and Outcomes under Economic Growth Volatility: Evidence from Emerging Asian Economies

Syeda Hina Zaidi, Ramona Rupeika-Apoga

Subject: Business, Economics And Management, Accounting And Taxation Keywords: liquidity synchronization; liquidity risk; economic growth volatility; emerging Asian economies

Online: 24 December 2020 (14:01:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0434.v1

The Association between Fast Food Outlets and Overweight in Adolescents Is Confounded by Neighbourhood Deprivation: A Longitudinal Analysis of the Millennium Cohort Study

Mark Green, Matt Hobbs, Ding Ding, Michael Widener, John Murray, Lindsay Reece, Alex Singleton

Subject: Social Sciences, Geography, Planning And Development Keywords: fast food; neighbourhood; deprivation; overweight; obesity; adolesence; confounding

Online: 24 September 2021 (12:51:26 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202406.1539.v1

The Pathway Flow Starting From Chronic Reactive Oxygen Species Leading to Human Treatment-Resistant Gastric Cancer

Shihori Tanabe, Sabina Quader, Ryuichi Ono, Horacio Cabral, Kazuhiko Aoyagi, Hiroshi Yokozaki, Hiroki Sasaki, Edward Perkins

Subject: Biology And Life Sciences, Life Sciences Keywords: Adverse Outcome Pathway (AOP); epithelial-mesenchymal transition; gastric cancer; reactive oxygen species (ROS); Wnt signaling

Online: 24 June 2024 (04:30:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0503.v1

Knowledge and Awareness of Iron Deficiency Anemia among Female Students in Dubai

Maryam Alhatemi, Dalia Haroun

Subject: Public Health And Healthcare, Primary Health Care Keywords: iron deficiency anemia; IDA; anemia; knowledge; awareness

Online: 7 September 2023 (11:13:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0078.v1

Detecting Female Students Transforming Entrepreneurial Competency, Mindset, and Intention into Sustainable Entrepreneurship

Angel Chang, Dian-Fu Chang, Tien-Li Chen

Subject: Social Sciences, Education Keywords: entrepreneurship; entrepreneurial competency; entrepreneurial intention; entrepreneurial mindset; SEM; sustainable entrepreneurship

Online: 6 September 2022 (03:28:34 CEST)

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Entrepreneurship has been viewed as an opportunity for economic development and changing economic scenarios in global markets. Women are viewed as a reservoir of entrepreneurial talent, so they can be growth engines in novel markets. Previous studies have considered entrepreneurship as the most effective way towards the economic empowerment of women. Female students engaged in entrepreneurial education have been addressed persistently, while what transforms them in an education process is still unclear. Considering the transforming global economy and its influence on higher education, this study aims to detect female students transforming entrepreneurial competency, mindset, and intention into sustainable entrepreneurship. Using a self-compiled survey, we targeted 752 female students to investigate their entrepreneurial competency, mindset, and intention. SPSS and AMOS were used to transform the data for interpretation. We assumed that the impact of female students’ entrepreneurial competency could be modified by an entrepreneurial mindset and result in entrepreneurial intention. To detect this causal relationship, this study employed reliability, factor, structural equation modeling (SEM), and bootstrap-ping analyses to verify the evidence. The result of the SEM confirms that female students’ entrepreneurial competency will, through their entrepreneurial mindset, impact entrepreneurial intention. With bootstrapping, 5000 samples were collected, and it was demonstrated that the measure constructs were still reliable in the model. This study found that there is a mediation effect between entrepreneurial competency and entrepreneurial intention. The entrepreneurial mindset plays a crucial role in the transformation process. Without an entrepreneurial mindset, entrepreneurial competency cannot exert a significant effect on entrepreneurial intention. The findings can help reinvent related entrepreneurial education in higher education.

Preprint COMMUNICATION | doi:10.20944/preprints202201.0223.v3

A Standardized Nomenclature and Atlas of the Female Terminalia of Drosophila melanogaster

Eden W. McQueen, Mehrnaz Afkhami, Joel Atallah, John M. Belote, Nicolas Gompel, Yael Heifetz, Yoshitaka Kamimura, Shani C. Kornhaeuser, John P. Masly, Patrick O’Grady, Julianne Peláez, Mark Rebeiz, Gavin Rice, Ernesto Sánchez-Herrero, Maria Daniela Santos Nunes, Augusto Santos Rampasso, Sandra L. Schnakenberg, Mark L. Siegal, Aya Takahashi, Kentaro M. Tanaka, Natascha Turetzek, Einat Zelinger, Virginie Courtier-Orgogozo, Masanori J. Toda, Mariana F. Wolfner, Amir Yassin

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Genitalia; terminalia; anatomy; Drosophila melanogaster; nomenclature

Online: 4 March 2022 (08:56:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0545.v1

Barriers and Assistance for Female Leaders in Academic STEM in the US

Laura McCullough

Subject: Social Sciences, Education Keywords: gender; academic; STEM; leadership; barriers; assistance

Online: 23 July 2020 (10:06:20 CEST)

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Preprint REVIEW | doi:10.20944/preprints202101.0171.v1

Immunity in Space: Is Microgravity Friend or Foe?

Macauley J Green, Jonathan W Aylott, Paul Williams, Amir M Ghaemmaghami, Philip M Williams

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: microgravity; spaceflight; immunology; pathogens; macrophages; bacteria; viruses; innate immune response; adaptive immune response

Online: 11 January 2021 (09:44:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.1597.v1

Thiazole Functionalization of Thiosemicarbazone for Cu(II) Complexation: Toward Highly Efficient Anticancer Drugs with Promising Oral Bioavailability

Song-Yu Luo, Chun-Mei Zeng, Ping Xu, Ye Ning, Meng-Lin Dong, Wen-Hua Zhang, Guangliang Yu

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Thiosemicarbazone; anticancer drug; copper complex; reactive oxygen species; pharmacokinetics

Online: 19 July 2024 (11:56:53 CEST)

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Preprint REVIEW | doi:10.20944/preprints202402.1052.v1

Industrial Metaverse: A Comprehensive Review, Environmental Impact and Challenges

Sindiso Nleya, Mthulisi Velempini

Subject: Computer Science And Mathematics, Computer Science Keywords: Industrial; Metaverse; Digital twin'; deployment; Security; Environmental impact

Online: 20 February 2024 (04:35:16 CET)

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The industrial metaverse paradigm is generally a virtual environment that integrates various technologies such as augmented reality (AR) and mixed reality (MR) to enhance business operations and processes. It aims to streamline workflows, reduce error rates, improve efficiency, and provide a more engaging experience for employees. The promise of the industrial Metaverse to drive sustainability and resource efficiency is compelling. Utilizing advanced technologies like the Industrial Metaverse is essential for staying competitive in today’s rapidly evolving business environment. However, the environmental impact of the technologies underpinning the industrial metaverse, like data centres and network infrastructure, should not be overlooked. The ecological footprint of these technologies must be considered in the sustainability equation. Researchers have warned that by 2025, without sustainable AI practices, AI will consume more energy than the human workforce, significantly offsetting carbon-zero gains. As the metaverse persists in evolving and gaining momentum, it will be necessary for companies to prioritize sustainability and explore new ways to balance technological advancements with environmental stewardship. However, recent studies have conjectured that the Metaverse holds the potential to reduce carbon emissions, as digital replacements for physical goods become more prevalent and physical activities like mobility and construction are reduced. However, the specific extent to which this substitution can alleviate environmental concerns remains understudied, presenting a knowledge gap in understanding the real-world impact of digital replacements. Thus, the objective of this paper is to provide a comprehensive review of the industrial metaverse as well as explore the environmental impact of the industrial metaverse. The methodological approach is that of integrative literature review design wherein multiple sources from web science and databases such as ACM library, IEEE Library, and Google Scholar, were analysed to provide a comprehensive understanding of the developments in the industrial metaverse. Specifically, firstly by considering the Industrial metaverse architecture we elucidate the concept of the "industrial metaverse" and the associated enabling technologies. Secondly, an exploration through discussion, of the prevalent use cases and deployment of the emerging industrial metaverse. Thirdly, exploration of the impact of the industrial metaverse on the environment. In the fourth instance, we address novel security and privacy risks as well as upcoming research challenges, keeping in mind that the industrial metaverse is based on a strong data fabric. Results point to the Industrial Metaverse as having both positive and negative environmental effects by energy consumption, e-waste, and pollution. Overall research, however, indicates that most industrial metaverse applications have a positive environmental impact and subsequently trend toward sustainability. Ultimately for sustainability in the industrial metaverse, enterprises may consider utilizing renewable energy sources and cloud services. Furthermore, examining the effects of products on the environment as well as creating a circular economy.

Preprint ARTICLE | doi:10.20944/preprints201811.0319.v1

Environmental Regulation, Upgrading of Industrial Structure and Economic Fluctuation

Dan Zhang, Leyi Chen

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Environmental regulation, Industrial structure upgrade, Economic fluctuation, Dynamic panel threshold

Online: 13 November 2018 (15:11:13 CET)

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This paper utilizes dynamic panel threshold technology to conduct a nonlinear test on the direct effect between environmental regulation and economic fluctuations and the effect of industrial structure upgrading by taking 35 industrial sectors in China from 2003 to 2016 . The research has found that there is an inverted "U" relationship between environmental regulation and economic fluctuations, with the enhancement of environmental regulations, the economic fluctuation increases first and then decreases. The cross-terms of environmental regulation and industrial structure rationalization or industrial structure upgrading are significantly negative, which indicates that the enhancement of environmental regulation is conducive to promoting industrial structure upgrading and reducing the economic fluctuations. While the rationalization factors of industrial structure and advanced industrial structure are significantly negative, indicating that both forms of industrial structure upgrading are conducive to reducing the economic fluctuations. Environmental regulation has technical innovation thresholds for industrial structure upgrading and economic fluctuations, but there are no human capital or FDI thresholds. In the rationalization model of industrial structure, there is a nonlinear "U" relationship between environmental regulation and economic fluctuations when the proportion of scientific research expenditure is more than 1.35%. With the enhancement of environmental regulation, the economic fluctuation reduces first and then increases, and the corresponding inflection point value is 2.398% of the environmental regulation level. At the same time, the environmental regulation can indirectly reduce economic fluctuations by pushing down the industrial structure upgrades. In the advanced model of industrial structure, there is a “U” relationship between environmental regulation and economic fluctuation when the proportion of scientific research expenditure is greater than 1.26%. With continuous enhancement of environmental regulation, the economic fluctuation reduces first and then increases. The corresponding inflection point value is 1.78% of the environmental regulation level, and environmental regulation can indirectly reduce economic fluctuations by promoting the industrial structure at the same time.

Preprint REVIEW | doi:10.20944/preprints202403.0608.v1

Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare

NGNOTOUOM NGNOKAM TANIA CYRIELLE, ANGYIBA ANDIGEMA, MAFO KAMGA Lethicia Danaëlle, EWANE Ekwelle

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: artificial intelligence (AI); quality control; point-of-care diagnostics; predictive analytics; process automation

Online: 11 March 2024 (13:02:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.1804.v1

Comparison of the Articular Eminence and Condyle in Asian Juvenile Idiopathic Osteoarthritis Patients with Unilateral and Bilateral TMJ Involvement: A Retrospective Case-Control Study

Hye-Min Ju, Hee-Won Kim, Seo-Young Choi, Hye-Mi Jeon, Sung-Hee Jeong, Yong-Woo Ahn, And Soo-Min Ok

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: Juvenile idiopathic osteoarthritis; Temporomandibular joint; Conebeam CT; Condyle; Articular eminence

Online: 27 July 2023 (02:27:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0361.v1

Characterization of Stone Waste Sludge and Preliminary Investigation on Green Materials Based on Traditional Lime Putty

Albina Scioti, Graziella Bernardo, Ippolita Mecca, Fabio Fatiguso

Subject: Engineering, Civil Engineering Keywords: recovery; stone waste sludge; waste characterization; traditional lime putty; fresh mixture behavior

Online: 6 August 2024 (10:38:34 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.1927.v1

Navigating the Future of Building Management: A Deep Dive into Prescriptive Digital Twins

Ayu Latifah, Suhono Harso Supangkat, Edi Leksono, Aswin Indraprastha

Subject: Engineering, Architecture, Building And Construction Keywords: prescriptive digital twin; optimization; building environment; smart technologies; workspace efficiency

Online: 27 June 2024 (09:21:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.1755.v1

A Comprehensive Global Review of Epidemiology, Clinical Management, Socio-Economic Impacts and National Responses of Long COVID with Future Research Directions

Xiufang Song, Weiwei Song, Lizhen Cui, Tim Q Duong, Rajiv Pandy, Hongdou Liu, Qun Zhou, Jiayao Sun, Yanli Liu, Tong Li

Subject: Public Health And Healthcare, Other Keywords: coronavirus risk factors; multisystem impact; public health response; counter measure

Online: 26 April 2024 (14:48:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1348.v1

Expanded PCR Panel Testing for Identification of Respiratory Pathogens and Coinfections in Influenza-like Illness

Pallavi Upadhyay, Jairus Reddy, Teddie Proctor, Oceane Sorel, Harita Veereshlingam, Manoj Gandhi, Vijay Singh

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Respiratory tract infections; COVID-19; influenza-like illness; multiplex PCR; syndromic panels

Online: 18 May 2023 (14:10:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1538.v1

Optimal Management of Renewable Energy Sources for Industrial Applications: A South African Inland Downstream Oil Refinery Case Study

Nelisiwe Mathebula, Bonginkosi Thango, Daniel Okojie

Subject: Engineering, Energy And Fuel Technology Keywords: energy management; oil refineries; particle swarm optimization; renewable energy; 32 Sustainability; South Africa

Online: 18 July 2024 (22:03:55 CEST)

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Motivated by South Africa's need in the transition to a net-zero economy; this study 10 investigates the integration of renewable energy sources (RES) into oil refineries, considering 11 therein unique challenges and opportunities. The research focuses on optimizing RES allocation 12 using Particle Swarm Optimization (PSO), a data-driven approach that adapts to real-time 13 operational conditions. Traditional energy management systems often struggle with the inherent 14variability of RES, leading to suboptimal energy distribution and increased emissions. Therefore, 15 this study proposes a PSO-based renewable energy allocation strategy specifically designed for oil 16 refineries. It considers factors like the levelized cost of energy, geographical location, and available 17 technology. The methodology involves formulating the optimization problem, developing a PSO 18 model, and implementing it in a simulated oil refinery environment. The results demonstrate 19 significant convergence of the PSO algorithm, leading to an optimal configuration for integrating 20 RES and achieving cost reductions and sustainability goals. The optimization result of 4,457,527.00 21 Rand achieved by iterations is much better than the result of 4,829,638.88 Rand acquired using 22Linear Programming as the baseline model. The mean cost, indicating consistent performance, has 23 remained at its original value of 4,457,527.00 Rand, highlighting the convergence. Key findings 24 include the average distance measure decreasing from 4.2 to 3.4, indicating particle convergence; 25 swarm diameter decreasing from 4.7 to 3.8, showing swarm concentration on promising solutions; 26 average velocity decreasing from 7.8 to 4.25, demonstrating refined particle movement; and the 27 optimum cost function achieved at 4,457,527 Rand with zero standard deviation, highlighting 28 stability and optimal solution identification. This research offers a valuable solution for oil 29 refineries seeking to integrate RES effectively, contributing to South Africa's transition to a 30sustainable energy future.

Preprint ARTICLE | doi:10.20944/preprints202407.2316.v1

Innovation in Skills and Sustainable Development in Italian Upper Secondary Technical Education and the Professional Role of Construction, Environment, and Territory Technicians

Andrea Pompigna, Gianluigi Ferrario

Subject: Social Sciences, Education Keywords: Education for Sustainable Development (ESD); Technical and Vocational Education; Curriculum Innovation; Professional Competencies; Sustainable Mobility

Online: 30 July 2024 (00:14:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0103.v1

Carbon Footprint Optimization with Data Resolution Conversion via Kalman Filter for Smart Energy Hub

Mohammed Mahmoud Khattab, Ahmed Abdelrahim, Eman Youssef, Mostafa Saad Hamad, Rania Elmanfaloty

Subject: Engineering, Control And Systems Engineering Keywords: Smart energy hub; carbon footprin; , dynamic pricing; Kalman filter

Online: 1 August 2024 (17:03:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201611.0010.v1

Attenuation Correction for Ka-band Cloud Radar Using X-band Weather Radar Data

Peng Zhang, Yunjie Chen

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: millimeter-wavelength cloud radar; attenuation correction; dual-radar; data fusion

Online: 1 November 2016 (10:05:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.0538.v1

The Impact of a Congested Competition Schedule on Load, Recovery, and Well-Being in U16 Female Football Players: A Comparison between Starters and Non-Starters during a Development Tournament

Jaime González-García, Blanca Romero-Moraleda

Subject: Social Sciences, Other Keywords: microcycle; periodization; GPS; RPE; sport; soccer; youth; women; maturation; training load

Online: 8 August 2024 (12:24:04 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.1297.v1

Optimizing Metal Steel and Iron Manufacturing through Computational Fluid Dynamics (CFD) a Paradigm Shift in Production Efficiency

NNADIKWE JOHNSON

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Keywords: Computational fluid dynamics; Iron-making; Steel-making; Fluid flow; Heat transfer; Mass transfer.

Online: 20 May 2024 (17:00:10 CEST)

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In the realm of metal steel and iron manufacturing, there is a constant drive to optimize production efficiency and enhance the quality of the final products. This abstract explores a paradigm shift in this industry through the utilization of Computational Fluid Dynamics (CFD) as a powerful tool for achieving these goals .The study focuses on various critical aspects of the manufacturing process. Firstly, it delves into three-phase processes such as slag and gas entrainment in liquid steel, which have a significant impact on the overall product quality. Understanding and optimizing these processes is crucial to ensure the desired chemical composition and physical properties of the final metal.The abstract investigates the role of CFD in vacuum degassing, a process that plays a pivotal role in removing impurities, such as hydrogen and oxygen, from the liquid steel. By leveraging CFD to simulate and analyze the fluid flow patterns, researchers and engineers can design more efficient vacuum degassing systems, leading to improved product purity and reduced waste.Another crucial aspect explored in this abstract is the alloy melt and mixing process. By employing CFD simulations, researchers can gain insights into the movement of different alloy components and optimize their distribution within the melt. This aids in achieving the desired alloy composition, ensuring uniformity, and enhancing the mechanical properties of the final product.In addition, the study delves into the movement and flotation of inclusions, which are unwanted impurities present in the metal. CFD can be utilized to model and analyze the behavior of these inclusions, enabling engineers to design efficient strategies for their removal, thereby enhancing the purity and integrity of the final product.Moreover, the abstract considers the impact of melt temperature losses, which can occur during different stages of the manufacturing process. By employing CFD, it becomes possible to understand and mitigate these temperature losses, leading to improved energy efficiency and better control over the manufacturing parameters.Part 1 of this abstract critically evaluates the use of CFD in iron making, analyzing its benefits and limitations. It highlights how CFD can aid in process optimization, improving the understanding of complex phenomena involved in iron making, and ultimately leading to enhanced production efficiency.Part 2 focuses on the application of CFD in steel making and steel operation. It explores the fluid flow dynamics during different stages of steel production, including refining, casting, and rolling. By leveraging CFD, engineers can optimize these processes, leading to improved product quality, reduced defects, and increased productivity.This abstract demonstrates the transformative potential of Computational Fluid Dynamics in metal, steel, and iron manufacturing. By utilizing CFD as a tool to model and analyze complex fluid flow phenomena, researchers and engineers can revolutionize the production process, maximizing efficiency, and ensuring high-quality end products.

Preprint ARTICLE | doi:10.20944/preprints202310.1415.v1

Revolutionizing Green Portfolio Rebalancing: Sustainable Wealth through Innovations in Green Energy

Rui Dias, Ana Filipa Silva

Subject: Business, Economics And Management, Business And Management Keywords: green economy; sustainability; cryptocurrency; safe haven; connectivity

Online: 23 October 2023 (10:59:09 CEST)

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This article explores the relationship between green energy and cryptocurrencies in the sustainable energy finance sector. The research findings contribute to our understanding of the application of green economy practice, enabling investors in financial markets, policymakers, and stakeholders to make informed decisions and develop specific strategies. Adopting the green economy paradigm makes it possible to promote collaboration and innovation by integrating ethical and responsible principles that can improve the overall quality of processes and boost sustainable growth. Cryptocurrencies have been widely used as financial instruments over the last decade. Given the development of the cryptocurrency market and the growing awareness of greener and more energy-efficient tokens, the green economy has become a popular topic for understanding economic and political issues. However, the literature still lacks clear evidence on how cryptocurrencies interact with green energies. Therefore, this study examines the long- and short-term relationships between dirty cryptocurrencies such as Bitcoin (BTC), Ethereum (ETH), clean cryptocurrencies such as Cardano (ADA), Ripple (XRP), Stellar (XLM), and green energies such as ISE Clean Edge Global Wind Energy, S&P Global Clean Energy, S&P TSX Renewable Energy and Clean Technology, Solactive China Clean Energy, in the period from January 2020 to September 2023. The results show that diversification is key, with clean cryptocurrencies such as ADA, XLM and XRP offering diversification opportunities alongside "dirty" cryptocurrencies such as BTC and ETH. Although sustainable energy indices show mixed evidence in the long and short term, they remain relevant for those who focus on clean energy investments. It is also becoming increasingly relevant for investors in sustainable portfolios to assess their environmental impact, especially for energy-intensive cryptocurrencies, and it is advisable to explore sustainable blockchain technologies.

Preprint REVIEW | doi:10.20944/preprints202404.0652.v1

Targeting H3N2 Influenza: Advancements in Treatment and Vaccine Strategies

Shriyansh Srivastava, Nandani Jayaswal, Sachin Kumar, G.S.N. Kotesawara Rao Rao, Roja Rani Budha, Aroop Mohanty, Rachana Mehta, Ranjit Sah, D. Katterine Bonilla-Aldana, Ricardo R. Ulloque-Badaracco, Alfonso J. Rodriguez-Morales

Subject: Medicine And Pharmacology, Tropical Medicine Keywords: H3N2 Influenza; Antigenic Variation; Vaccine Efficacy; Pandemic Potential; Multidisciplinary Approach

Online: 9 April 2024 (10:27:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202211.0474.v1

Combining Semi-targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in Serum and Urine of Hospitalized Patients with COVID-19

Gerard Baiges-Gaya, Simona Iftimie, Helena Castañé, Elisabet Rodríguez-Tomàs, Andrea Jiménez-Franco, Ana F. López-Azcona, Antoni Castro, Jordi Camps, Jorge Joven

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: Keywords: biomarkers; COVID-19; machine learning; metabolomics; SARS-CoV-2.

Online: 25 November 2022 (08:05:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.1263.v1

Optimizing Traffic Flow Through Congestion Management at Peshawar Toll Plaza: A Data-Driven Approach

Adil Hussain, Muhammad Afzal, Tariq Tariq

Subject: Computer Science And Mathematics, Analysis Keywords: PTV Vissim; Toll Plaza optimization; Traffic flow; Toll-collecting effectiveness; Data analysis; Vehicle classifications; intelligent traffic management systems

Online: 20 June 2024 (10:46:17 CEST)

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Toll plaza optimization is essential for improving traffic flow and easing congestion on road networks. This study aims to suggest and assess potential optimization solutions for the Peshawar toll plaza, considering variables like traffic volume, toll-collecting effectiveness, and customer facilitation. Different resources are used for data collection, like the National Highway Authority of Pakistan. Physical data is collected from the established Toll Plaza of Peshawar, along with the development of each line. The goal of this study is to suggest and assess potential optimization solutions for the Peshawar toll plaza, considering variables like traffic volume, toll-collecting effectiveness, and customer happiness. The analysis of present traffic patterns, the detection of bottlenecks, and the creation of plans to ease congestion and enhance overall traffic flow are all part of the optimization process. The approaches used in this study include data analysis, simulation, and traffic modeling. PTV VISSIM is software for transportation planning, design, and analysis. The simulations consider various conditions, such as variable traffic volumes, toll collection methods, and lane configurations. When comparing the different optimization strategies, performance indicators like trip time, latency, and queue length are utilized to determine which approach is practical. Waiting time Vs. Existing each lane, etc, is explained. In the end, comparing queue lengths and throughput across different lane scenarios shows that maximizing throughput with existing lanes yields up to 45% improvement with E-tag lanes, 40% with existing E-tag lanes, 38% with E-tag plus additional toll and cash lanes, 32% with three cash lanes, and 28% with two E-tag lanes. Failure to regularly monitor and adjust the existing lane pattern scenario based on traffic patterns can lead to queues being 20% longer. Without proactive evaluation and optimization, there is a potential 63% opportunity for queue length improvement

Preprint ARTICLE | doi:10.20944/preprints202010.0395.v1

A Way Forward To Promote The Farming Contracts Between Firms And Farmers In Cultivation Productions: A CASE STUDY Of VIETNAM

Nguyen Van Song, Vu Ngoc Huyen, Nguyen Thi Thuy, Dinh Van Tien, Thai Van Ha, Nguyen Xuan Diep, Vuong Thi Khanh Huyen

Subject: Business, Economics And Management, Economics Keywords: Keywords: farm contracts, firms, farmers, cultivation production, Thai Binh.

Online: 19 October 2020 (15:51:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0131.v1

Hops Across Continents: Exploring How Terroir Transforms the Aromatic Profiles of Five Hop (Humulus lupulus) Varieties Grown in Their Countries of Origin and in Brazil

Marcos Edgar Herkenhoff, Oliver Brödel, Marcus Frohme

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Humulus lupulus; aromatic profile, terroir impact; volatile compounds; HS-SPME/GC-MS

Online: 2 September 2024 (16:06:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201610.0067.v1

Point Information Gain and Multidimensional Data Analysis

Renata Rychtáriková, Jan Korbel, Petr Macháček, Petr Císař, Jan Urban, Dalibor Štys

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: point information gain; Rényi entropy; data processing

Online: 17 October 2016 (11:35:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2243.v1

An Open-Source Julia Package for RMS Time-Domain Simulations of Power Systems

Thomas Philpott, Ashish P. Agalgaonkar, Thomas Brinsmead, Kashem M. Muttaqi

Subject: Engineering, Electrical And Electronic Engineering Keywords: power systems; RMS simulation; Julia; open-Source

Online: 29 September 2024 (05:35:58 CEST)

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Preprint REVIEW | doi:10.20944/preprints202402.1577.v1

Production of fine chemicals using microporous and mesoporous heterogeneous catalysts

Joseph Lantos, Narendra Kumar, Basudeb Saha

Subject: Chemistry And Materials Science, Chemical Engineering Keywords: Fine chemicals, speciality chemicals, heterogeneous catalysis, microporous and mesoporous catalysts, metal organic frameworks (MOFs), zeolites, ion exchange, agrochemicals, fragrances, pharmaceuticals.

Online: 28 February 2024 (00:07:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202008.0600.v1

Screening of Biocatalysts for Synthesis of The Wieland-Miescher Ketone

Mitul P. Patel, Nathaneal T. Green, Jacob K. Burch, Kimberly A. Kew, Robert M. Hughes

Subject: Chemistry And Materials Science, Organic Chemistry Keywords: lipase; biocatalysis; Wieland-Miescher ketone; biocatalyst screening; amylase; peptidase; enantiomeric excess; Robinson Annulation

Online: 27 August 2020 (08:37:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0603.v1

Export Product Diversification, Poverty and Tax Revenue in Developing Countries

Sena Kimm Gnangnon

Subject: Business, Economics And Management, Economics Keywords: Export Product diversification; Poverty; Non-resource tax revenue.

Online: 25 September 2020 (10:59:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0578.v1

Framing Access and Exclusion for Arab Countries in WTO Affairs

Bashar H. Malkawi

Subject: Social Sciences, Law Keywords: WTO, Arab countries, international trade, free trade, accession, dispute settlement

Online: 26 November 2018 (09:57:36 CET)

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