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• Fundamental Principles of Silicon-Based Sapient Life, excluding all engineering implementation principles, methods, and details.
  FUNDAMENTAL PRINCIPLES OF SILICON-BASED SAPIENT LIFE ⚠️ COPYRIGHT AND RESTRICTIONS Copyright © 2025 邱冠博(冠博 邱). All Rights Reserved. This work may be cited for academic purposes only. Implementation, modification, and distribution are prohibited without explici…
  datacite 邱, 冠博 2025 置信度 0.66
• Fundamental Principles of Silicon-Based Sapient Life, excluding all engineering implementation principles, methods, and details.
  FUNDAMENTAL PRINCIPLES OF SILICON-BASED SAPIENT LIFE ⚠️ COPYRIGHT AND RESTRICTIONS Copyright © 2025 邱冠博(冠博 邱). All Rights Reserved. This work may be cited for academic purposes only. Implementation, modification, and distribution are prohibited without explici…
  datacite 邱, 冠博 2025 置信度 0.66
• 5T Scientific Roadmap (2025–2035) – A Decade-long Meta-Integrated Human Operating System
  The 5T Scientific Roadmap (2025–2035) is a decade-long research architecture designed to establish a Meta-Integrated Human Operating System (Human OS).It unifies five major scientific domains: Biological Regeneration Science Cognitive Architecture Behavioral O…
  datacite Nguyen, Ngoc Truc 2025 置信度 0.66 Human Operating System, Biological Regeneration, Cognitive Architecture, Behavioral OS, Life System Engineering, Meta-System, Systems Biology, Neuroscience, Predictive Processing, Habit Architecture, Energy Coherence, Longevity, AI×Human Integration, 5T Life System®.
• 5T Scientific Roadmap (2025–2035) – A Decade-long Meta-Integrated Human Operating System
  The 5T Scientific Roadmap (2025–2035) is a decade-long research architecture designed to establish a Meta-Integrated Human Operating System (Human OS).It unifies five major scientific domains: Biological Regeneration Science Cognitive Architecture Behavioral O…
  datacite Nguyen, Ngoc Truc 2025 置信度 0.66 Human Operating System, Biological Regeneration, Cognitive Architecture, Behavioral OS, Life System Engineering, Meta-System, Systems Biology, Neuroscience, Predictive Processing, Habit Architecture, Energy Coherence, Longevity, AI×Human Integration, 5T Life System®.
• Kit for Exploring Articles on AI Published in 2024
  This is a digital kit for exploring a collection of 553 journal articles published in English in 2024 that mention “artificial intelligence” or “AI” in their titles. These include the 227 “highly cited” such articles of that year in the Web of Science Core Col…
  datacite Liu, Alan 2026 置信度 0.66 Artificial intelligence, Epistemic virtues, Epistemic values, Large language models, Knowledge work, Creativity
• Kit for Exploring Articles on AI Published in 2024
  This is a digital kit for exploring a collection of 553 journal articles published in English in 2024 that mention “artificial intelligence” or “AI” in their titles. These include the 227 “highly cited” such articles of that year in the Web of Science Core Col…
  datacite Liu, Alan 2026 置信度 0.66 Artificial intelligence, Epistemic virtues, Epistemic values, Large language models, Knowledge work, Creativity
• Music as the Cosmic Primordial Code
  APPENDIX A — ORIGINAL ARTICLE FROM VERSION 1.0.0 MUSIC AS THE COSMIC PRIMORDIAL CODE: ENTANGLING HUMAN COGNITION'S EVOLUTIONARY DYNAMICS WITH SUPERINTELLIGENT ARTIFICIAL INTELLIGENCE Original Version: 1.0.0Original Publication Year: 2025Author: Mohammad PiranO…
  datacite Mohammad Piran 2026 置信度 0.66 Neuroscience and EmotionMathematics and MusicCognitive SymbiosisCognitive EvolutionHuman-AI Interaction
• Music as the Cosmic Primordial Code
  APPENDIX A — ORIGINAL ARTICLE FROM VERSION 1.0.0 MUSIC AS THE COSMIC PRIMORDIAL CODE: ENTANGLING HUMAN COGNITION'S EVOLUTIONARY DYNAMICS WITH SUPERINTELLIGENT ARTIFICIAL INTELLIGENCE Original Version: 1.0.0Original Publication Year: 2025Author: Mohammad PiranO…
  datacite Mohammad Piran 2026 置信度 0.66 Neuroscience and EmotionMathematics and MusicCognitive SymbiosisCognitive EvolutionHuman-AI Interaction
• Friction as Structure: Institutional Governance in the Transition from Reactive to Adaptive Regulation | — A Structural-Analytical Examination
  Short Abstract In the course of the institutional integration of adaptive systems, tensions arise that cannot be described as a deficit of control, but as a structural transition between two governance logics. Reactive governance — developed for stationary obj…
  datacite Orto, Salvatore 2026 置信度 0.66 adaptive governanceinstitutional reflexivitysecond-order observationbridging positiondecoupling
• Friction as Structure: Institutional Governance in the Transition from Reactive to Adaptive Regulation | — A Structural-Analytical Examination
  Short Abstract In the course of the institutional integration of adaptive systems, tensions arise that cannot be described as a deficit of control, but as a structural transition between two governance logics. Reactive governance — developed for stationary obj…
  datacite Orto, Salvatore 2026 置信度 0.66 adaptive governanceinstitutional reflexivitysecond-order observationbridging positiondecoupling
• AI training data set for Moon crater annotation with Crowd Science via a videogame
  Overview This is the additional data for the paper 'Generating an AI training data set for Moon crater annotation with Crowd Science via a videogame' by Stephan Jacob* (stephan.jacob@h-da.de), Paul Nasdalack (info@paul-nasdalack.com) and Marius Schwinning * ma…
  datacite Jacob, Stephan, Nasdalack, Paul 2025 置信度 0.66
• AI training data set for Moon crater annotation with Crowd Science via a videogame
  Overview This is the additional data for the paper 'Generating an AI training data set for Moon crater annotation with Crowd Science via a videogame' by Stephan Jacob* (stephan.jacob@h-da.de), Paul Nasdalack (info@paul-nasdalack.com) and Marius Schwinning * ma…
  datacite Jacob, Stephan, Nasdalack, Paul 2025 置信度 0.66
• AI-Impacts-Science-Matters-Arising — data archive (sampling frame, embeddings, edge caches)
  Re-analysis intermediates for a Matters Arising on Xu et al. (2025), Nature. This deposit hosts the generated intermediate and analysis-ready files for an independent re-analysis of: Xu, F. et al. "Artificial intelligence tools expand scientists' impact but co…
  datacite Guo, Zhichen 2026 置信度 0.66
• AI-Impacts-Science-Matters-Arising — data archive (sampling frame, embeddings, edge caches)
  Re-analysis intermediates for a Matters Arising on Xu et al. (2025), Nature. This deposit hosts the generated intermediate and analysis-ready files for an independent re-analysis of: Xu, F. et al. "Artificial intelligence tools expand scientists' impact but co…
  datacite Guo, Zhichen 2026 置信度 0.66
• People behind the ideas
  All information has an origin story and it is not the person, it is the data. This is my origin story for my project. These are from files a year and some change ago. When I started to gather the pieces together of my year and a half of researching. It is nice…
  datacite Dragolich, Daniel 2026 置信度 0.66
• People behind the ideas
  All information has an origin story and it is not the person, it is the data. This is my origin story for my project. These are from files a year and some change ago. When I started to gather the pieces together of my year and a half of researching. It is nice…
  datacite Dragolich, Daniel 2026 置信度 0.66
• OpenBind Structure–Affinity Data Release: Enterovirus A71 (EV-A71) / Coxsackievirus A16 (CVA16) 2A protease
  This record contains the first public dataset released by the OpenBind consortium: a structure–affinity dataset for structure-based AI and computational drug discovery. The accompanying preprint provides a detailed description of the dataset, experimental camp…
  datacite OpenBind Consortium 2026 置信度 0.66 OpenBindProtein-Ligand ComplexesPDBDockingCofolding
• OpenBind Structure–Affinity Data Release: Enterovirus A71 (EV-A71) / Coxsackievirus A16 (CVA16) 2A protease
  This record contains the first public dataset released by the OpenBind consortium: a structure–affinity dataset for structure-based AI and computational drug discovery. The accompanying preprint provides a detailed description of the dataset, experimental camp…
  datacite OpenBind Consortium 2026 置信度 0.66 OpenBindProtein-Ligand ComplexesPDBDockingCofolding
• OpenBind Structure–Affinity Data Release: Enterovirus A71 (EV-A71) / Coxsackievirus A16 (CVA16) 2A protease
  This record contains the first public dataset released by the OpenBind consortium: a structure–affinity dataset for structure-based AI and computational drug discovery. The dataset focuses on the EV-A71 2A protease and includes 925 crystallographic binding eve…
  datacite OpenBind Consortium 2026 置信度 0.66 OpenBindProtein-Ligand ComplexesPDBDockingCofolding
• Survey dataset on perceived factors associated with self-reported AI-assisted academic cheating among undergraduate students in Vietnam
  This dataset contains anonymized survey data collected for a study examining undergraduate students’ self-reported AI-assisted academic cheating behaviors and their perceptions of factors associated with such behaviors. Data were collected through an anonymous…
  datacite Nguyen Hanh 2026 置信度 0.66 Educational technology and computingHigher educationEngineering education
• Survey dataset on perceived factors associated with self-reported AI-assisted academic cheating among undergraduate students in Vietnam
  This dataset contains anonymized survey data collected for a study examining undergraduate students’ self-reported AI-assisted academic cheating behaviors and their perceptions of factors associated with such behaviors. Data were collected through an anonymous…
  datacite Nguyen Hanh 2026 置信度 0.66 Educational technology and computingHigher educationEngineering education
• Responsibility as Architecture: Foresight, Architecture, Holding and Silence – An Auditable System for the Control of Generative Processes under Drift Conditions
  This document describes the consistent presentation of an already fully developed system architecture whose structural foundations emerged prior to its formal fixation and prior to the broad visibility of comparable functional mechanisms. The starting point of…
  datacite Orto, Salvatore 2026 置信度 0.66 ORCAOrto Resonance Carrier ArchitectureCarrier TensionNon-FragmentabilitySimultaneous System Architecture
• Responsibility as Architecture: Foresight, Architecture, Holding and Silence – An Auditable System for the Control of Generative Processes under Drift Conditions
  This document describes the consistent presentation of an already fully developed system architecture whose structural foundations emerged prior to its formal fixation and prior to the broad visibility of comparable functional mechanisms. The starting point of…
  datacite Orto, Salvatore 2026 置信度 0.66 ORCAOrto Resonance Carrier ArchitectureCarrier TensionNon-FragmentabilitySimultaneous System Architecture
• <b>OrthoFrac-XR: </b>A Clinically Validated Multimodal High-Resolution X-ray Imaging Dataset for Bone Fracture Detection and Localization
  Abstract Bone fractures are a common orthopedic problem that necessitates prompt and accurate diagnosis to ensure proper treatment, healing, and the prevention of long-term consequences. Delayed or missed diagnoses can result in deformity, chronic discomfort, …
  datacite Md. Arham Tabib, Sumyia Sabrin Liza, Md. Hasan Imam Bijoy, Md. Zahid Hasan 等 2026 置信度 0.66 SurgeryOrthopaedicsOtorhinolaryngologyDigital healthRural and remote health services
• <b>OrthoFrac-XR: </b>A Clinically Validated Multimodal High-Resolution X-ray Imaging Dataset for Bone Fracture Detection and Localization
  Abstract Bone fractures are a common orthopedic problem that necessitates prompt and accurate diagnosis to ensure proper treatment, healing, and the prevention of long-term consequences. Delayed or missed diagnoses can result in deformity, chronic discomfort, …
  datacite Md. Arham Tabib, Sumyia Sabrin Liza, Md. Hasan Imam Bijoy, Md. Zahid Hasan 等 2026 置信度 0.66 SurgeryOrthopaedicsOtorhinolaryngologyDigital healthRural and remote health services
• <b>OrthoFrac-XR: </b>A Clinically Validated Multimodal High-Resolution X-ray Imaging Dataset for Bone Fracture Detection and Localization
  Abstract Bone fractures are a common orthopedic problem that necessitates prompt and accurate diagnosis to ensure proper treatment, healing, and the prevention of long-term consequences. Delayed or missed diagnoses can result in deformity, chronic discomfort, …
  datacite Md. Arham Tabib, Sumyia Sabrin Liza, Md. Hasan Imam Bijoy, Md. Zahid Hasan 等 2026 置信度 0.66 SurgeryOrthopaedicsOtorhinolaryngologyDigital healthRural and remote health services
• Management Research Notes: A File-Based Academic Knowledge Base for Management and Business Sustainability Research
  Management Research Notes is a portable, file-based academic knowledge base for management and business sustainability research. Each peer-reviewed article becomes one Markdown note with YAML frontmatter (trusted bibliographic metadata, a controlled-vocabulary…
  datacite Tang, Binqi 2026 置信度 0.66 management researchbusiness sustainabilitybusiness ethicsbusiness researchacademic research
• Artificial Intelligence in Oncologic Drug Discovery and Development: A Systematic Review of Transformative Pathways, Current Applications, and Future Prospects
  Background: Cancer remains a leading cause of mortality worldwide, with traditional oncologic drug development characterized by lengthy timelines exceeding 15 years, costs surpassing $2.6 billion per approved drug, and success rates below 5%. The complexity of…
  datacite Si Jiechang* 2026 置信度 0.66 Artificial Intelligence, Machine Learning, Deep Learning, Cancer, Oncology, Drug Discovery, Drug Development, Systematic Review, PRISMA, Clinical Translation
• Artificial Intelligence in Oncologic Drug Discovery and Development: A Systematic Review of Transformative Pathways, Current Applications, and Future Prospects
  Background: Cancer remains a leading cause of mortality worldwide, with traditional oncologic drug development characterized by lengthy timelines exceeding 15 years, costs surpassing $2.6 billion per approved drug, and success rates below 5%. The complexity of…
  datacite Si Jiechang* 2026 置信度 0.66 Artificial Intelligence, Machine Learning, Deep Learning, Cancer, Oncology, Drug Discovery, Drug Development, Systematic Review, PRISMA, Clinical Translation
• Management Research Notes: A File-Based Academic Knowledge Base for Management and Business Sustainability Research
  Management Research Notes is a portable, file-based academic knowledge base for management and business sustainability research. Each peer-reviewed article becomes one Markdown note with YAML frontmatter (trusted bibliographic metadata, a controlled-vocabulary…
  datacite Tang, Binqi 2026 置信度 0.66 management researchbusiness sustainabilitybusiness ethicsbusiness researchacademic research
• Drawing-to-Assess: Reliability and Validity of Drawing Analysis
  We propose a Level 1 project in the Engaged Student Learning track to determine the efficacy of multiple approaches to evaluating drawings. This project recognizes the unique place visualizations have in science (Bylieva et al., 2025) and the fundamental role …
  datacite Libarkin, Julie C, Michel, Carolina, Creps, Karenanna, Kirby, Caitlin 等 2026 置信度 0.66
• Drawing-to-Assess: Reliability and Validity of Drawing Analysis
  We propose a Level 1 project in the Engaged Student Learning track to determine the efficacy of multiple approaches to evaluating drawings. This project recognizes the unique place visualizations have in science (Bylieva et al., 2025) and the fundamental role …
  datacite Libarkin, Julie C, Michel, Carolina, Creps, Karenanna, Kirby, Caitlin 等 2026 置信度 0.66
• Global trajectories of ICF research (2015-2025): a bibliometric synthesis of trends, innovations, and equity-driven paradigms
  Purpose: This study provided a comprehensive bibliometric analysis of research related to the International Classification of Functioning, Disability, and Health (ICF) covering the years 2015 to 2025, using data sourced from the Web of Science Core Collection.…
  datacite Yuling Duan, Zhengqi Han, Xiaofei Liu, Tiantong Yang 2026 置信度 0.66 MedicineBiotechnologySociologyInformation Systems not elsewhere classifiedCancer
• Global trajectories of ICF research (2015-2025): a bibliometric synthesis of trends, innovations, and equity-driven paradigms
  Purpose: This study provided a comprehensive bibliometric analysis of research related to the International Classification of Functioning, Disability, and Health (ICF) covering the years 2015 to 2025, using data sourced from the Web of Science Core Collection.…
  datacite Yuling Duan, Zhengqi Han, Xiaofei Liu, Tiantong Yang 2026 置信度 0.66 MedicineBiotechnologySociologyInformation Systems not elsewhere classifiedCancer
• Artificial Intelligence Applications in Water Resources Management: Global Advances and Perspectives for Morocco
  Abstract As water resources become scarcer, population growth, and climate change, complex water resources challenges have been turning to Artificial Intelligence (AI) as a promising solution. Water resources are becoming scarce and with the growing population…
  datacite Oumaima RBAIBI, Abdelhak SAHIB EDDINE 2026 置信度 0.66 African Scientific Journal
• Artificial Intelligence Applications in Water Resources Management: Global Advances and Perspectives for Morocco
  Abstract As water resources become scarcer, population growth, and climate change, complex water resources challenges have been turning to Artificial Intelligence (AI) as a promising solution. Water resources are becoming scarce and with the growing population…
  datacite Oumaima RBAIBI, Abdelhak SAHIB EDDINE 2026 置信度 0.66 African Scientific Journal
• RFS-X Open Science: Reference Implementation of the Coherence Pattern Signature Heliospheric Monitor
  g(x,t) The state at this moment in time (07/22/2026) I have found some errors in the DOIs listed below as well as others (rooted in some human limitation and mistakes and Ai limitations and mistake), I am in the process of updating all papers in relation to th…
  datacite Lanum, Jordan, Resonance Coherent Holdings 2026 置信度 0.66
• RFS-X Open Science: Reference Implementation of the Coherence Pattern Signature Heliospheric Monitor
  g(x,t) The state at this moment in time (07/22/2026) I have found some errors in the DOIs listed below as well as others (rooted in some human limitation and mistakes and Ai limitations and mistake), I am in the process of updating all papers in relation to th…
  datacite Lanum, Jordan, Resonance Coherent Holdings 2026 置信度 0.66
• BRIDGING HUMAN CURIOSITY AND ARTIFICIAL INTELLIGENCE: THE LIVED EXPERIENCES OF BS BIOLOGY STUDENTS USING AI IN SCIENCE CLASSES
  This study explored the lived experiences of Bachelor of Science in Biology students using Artificial Intelligence (AI) tools in science-related classes who enrolled in the School year 2025-2026. The research aimed to understand how AI influenced students' lea…
  datacite Tagbac, Rosa Carmela Leonora, Flores, Reexane Xena, Culi, Mark Allen, Salcedo, Princess Nicole 等 2026 置信度 0.66
• BRIDGING HUMAN CURIOSITY AND ARTIFICIAL INTELLIGENCE: THE LIVED EXPERIENCES OF BS BIOLOGY STUDENTS USING AI IN SCIENCE CLASSES
  This study explored the lived experiences of Bachelor of Science in Biology students using Artificial Intelligence (AI) tools in science-related classes who enrolled in the School year 2025-2026. The research aimed to understand how AI influenced students' lea…
  datacite Tagbac, Rosa Carmela Leonora, Flores, Reexane Xena, Culi, Mark Allen, Salcedo, Princess Nicole 等 2026 置信度 0.66
• Reproducible R Code for Diagnostic Accuracy of Artificial Intelligence for Dental Caries Detection across Clinical Imaging Modalities: A Systematic Review and Exploratory Meta-Analysis
  This repository contains the study-level datasets, consolidated R code, methodological audit files, and selected derived outputs supporting the systematic review and diagnostic test accuracy meta-analysis entitled “Clinical Utility and Translational Readiness …
  datacite Chaple Gil, Alain Manuel, Menendez, Jorge J. 2026 置信度 0.66
• Evaluating the Early Adaptation of a Multi-Component Active Case Finding Strategy for Drug-Resistant Tuberculosis in Aden, Yemen: Implementation Science Study
  Abstract Background: Drug-resistant tuberculosis (DR-TB) is a considerable challenge in conflict-affected Yemen. To address the limitations of facility-based passive case finding (PCF), the National Tuberculosis Programme implemented an Active Case Finding (AC…
  preprints 2026 置信度 0.74
• AI-Integrated Counseling Administration Quality and Organizational Support as Drivers of Early Risk Detection in Indonesian Schools
  Currently, cases of bullying and violence in secondary schools in Indonesia are showing an increasing trend. Therefore, the development of a proactive early detection system focused on the welfare and mental health of students is a primary goal. Current dynami…
  preprints 2026 置信度 0.74
• Geospatial Methods for SDG-Aligned Land and Water Resource Management: A Bibliometric and Systematic Review of Research Trends (2021–2026)
  Abstract Geospatial methods have become indispensable for sustainable land and water resource management under growing pressures from climate change, urbanization, and water scarcity. This study maps global research trends in geospatial methods for land and wa…
  preprints 2026 置信度 0.74
• A Bibliometric Analysis of Computer Science Research at the University of Information Technology, VNU-HCM: Trends, AI Alignment, and Institutional Benchmarking (2010–2025)
  Abstract We conduct a multi-dimensional bibliometric analysis of Computer Science (CS) research at the University of Information Technology (UIT), a specialized IT institution in Vietnam, to examine AI adoption, thematic evolution, and institutional benchmarki…
  preprints 2026 置信度 0.74
• Topic Evolution and Knowledge Diffusion in Computational Linguistics: A Lead–Lag Analysis of Conference and Journal Publications (2010–2025)
  Abstract This study focuses on computational linguistics conference and journal papers included in the Web of Science Core Collection from 2011 to 2025, constructs a BERTopic-based topic recognition framework, and combines topic similarity analysis and Lead–La…
  preprints 2026 置信度 0.74
• The role of Artificial Intelligence in interventions to reduce alcohol consumption and smoking: A systematic review
  Abstract Background: Prevalence of alcohol consumption and smoking is high across high-income countries, and interventions to decrease either can include behaviour change delivered digitally. Artificial intelligence (AI) is a broad field encompassing various t…
  preprints 2026 置信度 0.74
• Leveraging AI-Driven One Health Surveillance in Sub-Saharan Africa: A Narrative Review of Planetary Health Intelligence for Climate-Responsive Pandemic Preparedness
  Abstract Background: Climate change intensifies health threats through vector range expansion, extreme weather events, and food insecurity, placing 1.1 billion people in sub-Saharan Africa (SSA) at heightened risk of pandemics. Current surveillance systems are…
  preprints 2026 置信度 0.74
• Unreported use of artificial intelligence in three ABAI publications: A call for more transparency
  In the past three years, large language models have been transforming how behavioral scientists conduct research. One area in which these models may prove useful involves academic writing. Although journals recommend reporting the use of artificial intelligenc…
  preprints 2026 置信度 0.74
• The role of Artificial Intelligence in interventions to reduce physical inactivity: A systematic review
  Abstract Background Prevalence of physical inactivity is high and increasing across high-income countries, and interventions to increase physical activity can include behaviour change delivered digitally. Artificial intelligence (AI) is a broad field encompass…
  preprints 2026 置信度 0.74
• Transformative Inclusive Education: A Case Study of an AI Game-Based Deep Learning Model for Literacy among Elementary School Students with Specific Learning Disorder (SLD)
  Background Inclusive students with Specific Learning Disorder (SLD) often experience persistent challenges in acquiring foundational literacy skills due to the lack of adaptive and personalized instructional approaches. Artificial Intelligence (AI) game-based …
  preprints 2026 置信度 0.74
• Machine Learning Models for Osteoporosis Prediction: A Systematic Review and Meta-Analysis
  ABSTRACT Purpose The application of machine learning (ML) to osteoporosis prediction has expanded rapidly, yet no comprehensive meta-analysis has synthesized the discriminative performance of these models across all ML categories, data types, and validation st…
  preprints 2026 置信度 0.74
• Artificial Intelligence for Lung Ultrasound Interpretation: A Systematic Review
  Context and objectives: Lung ultrasound (LUS) is a safe low-cost tool that enables diagnosis, monitoring and guidance for interventional procedures at the patient's bedside. However, its expansion is hindered by a lack of training programs and the inherent dif…
  preprints 2026 置信度 0.74
• Factors that promote research literacy in university students: A systematic literature review 2015-2025
  This systematic literature review analyzes factors promoting research literacy among university students based on 50 studies published between 2015–2025. Following PRISMA guidelines, studies were selected from Scopus, Web of Science, and Science Direct databas…
  preprints 2026 置信度 0.74
• Predictive models for stillbirth and neonatal death: A global scoping review of model performance, validation, transportability and implications for sub-Saharan Africa
  Abstract Background: Each year 1.9 million stillbirths and 2.3 million neonatal deaths occur worldwide, and sub-Saharan Africa (SSA) accounts for 47% of stillbirths and 46% of neonatal deaths. Predictive models, including classical statistical methods, machine…
  preprints 2026 置信度 0.74
• Bibliometric analysis of gamification in teacher education during the generative AI era: historical trends, present status, and future trajectories
  Gamification has become a relevant pedagogical approach in teacher education, yet its evolution and relationship with generative artificial intelligence remain fragmented. This study maps the development, intellectual structure, and emerging trajectories of re…
  preprints 2026 置信度 0.74
• Explore barriers and risks that hinder AI integration into global talent management: A Systematic Review
  The work environment is rapidly changing due to the constantly rising global disruptions. It has therefore become essential for organisations to retain their top talent in order to remain sustainable. This systematic review aimed to identify the primary barrie…
  preprints 2026 置信度 0.74
• ReviewBench: An Extensible Framework for Benchmarking Human and AI Manuscript Review
  A bstract The volume of scientific manuscripts is rising faster than the available pool of expert reviewers, and AI tools are emerging as a possible response, ranging from frontier large language models applied directly to peer review to purpose-built multi-ag…
  preprints 2026 置信度 0.74
• Integration of Ai-Driven Climate Risk Modeling for Vegetable Resilience under Increasing Frost Events: Systematic review
  Abstract Increasing frequency and intensity of frost events pose a serious and growing challenge to vegetable production worldwide, resulting in substantial yield losses, economic instability, and heightened production risks. Recent advances in artificial inte…
  preprints 2026 置信度 0.74
• Toward a Systems-Level Theory of AI-Experiential Learning Orchestration (AIELO)
  Purpose: This study develops the AI-Experiential Learning Orchestration (AIELO) framework as a systems-level, theory-building model that links Kolb’s four-stage experiential cycle to concrete artificial-intelligence affordances while embedding an ethics-of-car…
  preprints 2026 置信度 0.74
• AI in Practice: A Multilingual Survey of 2025 BioHackathon Participants
  This dataset arises from a multilingual survey of AI use among participants and community members in the DBCLS BioHackathon 2025 in Japan. The questionnaire, offered in English, Japanese, and Thai, asked about how often respondents use AI tools, what they use …
  preprints 2026 置信度 0.74
• Generative AI and Adaptive Systems for Customising Help-Seeking Scaffolds: A Systematic Review
  Abstract Help-seeking is a central self-regulated learning (SRL) process; however, generic scaffolds often misalign with learners’ heterogeneous needs. This systematic review addresses the lack of consolidated evidence on how artificial intelligence (AI), incl…
  preprints 2026 置信度 0.74
• AI Transforms the Journey of Entrepreneurial Innovation to Product–Market Fit: Scoping Review and Thematic Analysis of Literature
  Abstract The integration of artificial intelligence (AI) technologies into innovation processes has fundamentally transformed how entrepreneurs and organisations achieve product–market fit. A PRISMA-ScR guided scoping review of 61 studies (2011–2025) across Sc…
  preprints 2026 置信度 0.74
• Expert Discrimination of AI-Generated versus Authentic Radiologic Images: A Multimodal, Pre-Registered Visual Turing Test
  Background Frontier text-to-image models can synthesise radiologic images of high realism, raising the question of whether expert radiologists can serve as a provenance safeguard for the medical image record. Methods We conducted a prospective, pre-registered …
  preprints 2026 置信度 0.74
• Interpretable AI-driven materiomics to decode microenvironmental cues for stem cell immunomodulation
  Hydrogels that mimic the extracellular matrix create microenvironments containing diverse physicochemical cues that regulate stem cell fate, particularly their immunomodulatory and pro-regenerative functions. However, elucidating how microenvironmental cues re…
  preprints 2026 置信度 0.74
• AI Guided Earth Observation for Syntropic Climate Adaptive Urban Planning in Santa Cruz de Tenerife
  Abstract Urban climate vulnerability increasingly emerges from the interaction between fragmented ecological networks, accelerated runoff dynamics, thermally amplified urban fabrics, degraded soils, and uneven access to regulatory ecosystem services. In insula…
  preprints 2026 置信度 0.74
• Mapping the Methodological Bifurcation of Quantitative Portfolio Optimization: A PRISMA-Compliant Systematic Review with BERTopic–SPECTER Analysis (2003–2025)
  Quantitative portfolio optimization has accelerated sharply since 2018, with deep learning and reinforcement learning agents now competing with the mean-variance framework that defined six decades of research. Existing narrative reviews struggle to track this …
  preprints 2026 置信度 0.74
• AIM-PrEP: AI Agent-Driven Multicenter Intervention to Improve PrEP Adherence and Health Monitoring Among Men Who Have Sex with Men (MSM) – Protocol of A Randomized Controlled Trial
  Background Pre-exposure prophylaxis (PrEP) has demonstrated a significant reduction in HIV infections among men who have sex with men (MSM), however, low medication adherence hinders its preventative effectiveness. Traditional approaches, such ashealth educati…
  preprints 2026 置信度 0.74
• The Behavioral Science Conference Presentations Database
  Behavioral scientists give thousands of conference talks each year, and these presentations are the field's fastest-circulating record of active research. Yet they have not been systematically indexed. I introduce the Behavioral Science Conference Presentation…
  preprints 2026 置信度 0.74
• The Impact of Artificial Intelligence on Self-Regulated Language Learning in Higher Education: A Systematic Review (2022–2025)
  This PRISMA‑guided systematic review synthesizes evidence (Web of Science amp; Scopus; searches closed 31 Aug 2025) on how Artificial Intelligence (AI) influences self‑regulated language learning (SRLL) in higher education. Twenty‑three studies (56.5% publishe…
  preprints 2026 置信度 0.74
• Single-Cell Analysis Reveals Inflammatory–Immunosuppressive Niches Associated with Suboptimal Response to Daratumumab-Based Therapy in AL Amyloidosis
  ABSTRACT Systemic light-chain amyloidosis is caused by plasma cell clones that secrete misfolded free light chains. Although daratumumab is used for first-line therapy, mechanisms underlying suboptimal response remain unclear. We generated a bone marrow single…
  preprints 2026 置信度 0.74
• 4th BioHackathon Germany report: Exploring Gamification Strategies to Enhance Bioinformatics Training
  State of the art life science training features steep learning curves due to dense technical specifications and complex data formats, often causing cognitive overload and low learner retention. While gamification can enhance engagement, implementing it without…
  preprints 2026 置信度 0.74
• Bridging the Implementation Gap: Artificial Intelligence in Periodontology from Proof-of-Concept to Clinical Governance-A Systematic Scoping Review with Evidence from Kazakhstan
  Background: /Objectives: Periodontitis is the sixth most prevalent disease worldwide, affecting over 740 million people and representing a growing public health burden, particularly in transitional economies. While artificial intelligence (AI) technologies -in…
  preprints 2026 置信度 0.74
• From Screening to Sustained Recovery: A Multidomain Systematic Review and Evidence Map of Adolescent Substance-Use Rehabilitation with Nested Meta-analysis of Youth Opioid Treatment
  Background Adolescent substance-use rehabilitation is a care-continuum problem spanning detection, engagement, active treatment, relapse prevention, aftercare, family support, and equity-oriented implementation. Existing reviews are often modality-specific and…
  preprints 2026 置信度 0.74
• Artificial Intelligence for Predicting and Prioritizing Microbiological Hazards in Food Safety Inspection Systems: A PRISMA-Compliant Systematic Review (2020–2025)
  Abstract Background Foodborne diseases represent a persistent and escalating global public health challenge, with the World Health Organization estimating approximately 600 million cases and 420,000 deaths annually. Traditional food safety regulatory framework…
  preprints 2026 置信度 0.74
• Metadata-based Methods to Generate Synthetic Health Data: A Scoping Review
  Abstract Objective: To identify current methods and research gaps for synthetic health data generation with access to only descriptive metadata information (metadata-based methods), and to synthesise current research on evaluation, ethical and legal frameworks…
  preprints 2026 置信度 0.74
• Application of Artificial Intelligence and Machine Learning for Cardiovascular Risk Identification and Stratification Among People Living with HIV: A Scoping Review
  Abstract Background: CVD and stroke are leading causes of non-AIDS mortality in PLWH, who face a 1.5-2-fold elevated cardiovascular risk driven by chronic immune activation, ART-related metabolic effects, and endothelial dysfunction. Conventional tools such as…
  preprints 2026 置信度 0.74
• Artificial Intelligence (AI) E-Banking in Bangladesh: An Integrated Model of Consumer Decision-Making, Ethical Trust, and Fraud Prevention
  Purpose: This review article investigates the significance of AI-driven e-banking services through a holistic conceptual model considering ethical trust, fraud prevention, and consumer purchase decision-making in the context of Bangladesh&#039;s online banking…
  preprints 2026 置信度 0.74
• How Ethiopia’s elite distance runners actually train: an AI-assisted dissection of a multidimensional training structure
  Background Elite East African distance runners have dominated their events for decades while training in ways that diverge sharply from Western sports-science orthodoxy. Why they are so good has never been settled with certainty. Genetics, lifelong altitude re…
  preprints 2026 置信度 0.74
• A Systematic Review of Artificial Intelligence in Piano Education: Efficacy,Ethics, and the Transformation of the Teacher's Role (2020–2025)
  Abstract Technology has begun reshaping piano pedagogy, moving instructional practices away from traditional apprenticeship models toward data-informed learning environments. This systematic review and meta-analysis, conducted according to PRISMA guidelines, e…
  preprints 2026 置信度 0.74
• The Effects of Artificial Intelligence-Based Interventions on Depression and Anxiety: A Systematic Review
  Introduction: Depression and anxiety remain major global mental health challenges that continue to increase across populations. Conventional treatments are often limited by cost, accessibility, stigma, and the availability of professionals. Artificial intellig…
  preprints 2026 置信度 0.74
• Cognitive Computing with Small Language Models: A Reproducible End-to-End Benchmark for Automated Data Science on Tabular Data
  Automated data science (AutoDS) workflows demand significant human expertise across exploratory data analysis (EDA), feature engineering, and model selection. While large language models (LLMs) have demonstrated strong capabilities in supporting these stages, …
  preprints 2026 置信度 0.74
• Evolution of Glioma and Hypoxia Research (2005–2025): A Bibliometric Analysis from Molecular Mechanisms to Tumor Microenvironment and Translational Medicine
  Abstract Background Gliomas are prevalent, highly invasive central nervous system malignancies. The intratumoral hypoxic microenvironment, primarily mediated by hypoxia-inducible factor (HIF) signaling, orchestrates therapeutic resistance and malignant progres…
  preprints 2026 置信度 0.74
• Bibliometric Analysis of Multi-Source Fault and Anomaly Isolation Research: Opportunities and Limitations of OpenAlex Metadata
  Multi-source fault and anomaly isolation has emerged as a critical research paradigm for diagnosing complex engineered infrastructures, where abnormal behaviors are distributed across heterogeneous sensors and coupled subsystems. Despite a sharp surge in liter…
  preprints 2026 置信度 0.74
• Factors shaping non-expert trust in AI: A systematic snowballing review of explainable AI design considerations
  Background: Trust in artificial intelligence (AI) systems is critical for ethical and effective adoption, particularly among non-expert users. This review aimed to identify factors influencing trust and practical considerations for designing explainable AI (XA…
  preprints 2026 置信度 0.74
• Artificial Intelligence - Large Language Models (LLMs) and Agentic AI in Clinical Decision Support in Outpatient, General Practice and Acute Settings: A Systematic Review of Diagnostic Accuracy, Comparative Efficacy, Clinical Outcomes and Implementation Factors
  Abstract Background : Large language models (LLMs) and agentic artificial intelligence (AI) systems represent a notable shift in clinical decision support systems (CDSS), offering potential to enhance diagnostic accuracy, triage efficiency, and clinical decisi…
  preprints 2026 置信度 0.74
• Metadata-Based Methods to Generate Synthetic Health Data: A Scoping Review
  Synthetic health data enables privacy-safe data sharing, development of code, and mitigation of data scarcity and bias. While most research focuses on generation from electronic health records (EHR), this scoping review focuses on generation with access to onl…
  preprints 2026 置信度 0.74
• Double Intelligence: Repositioning Human Intelligence in the Age of Generative AI for Teaching, Learning, and Assessment Across Diverse Higher Education Contexts – A Narrative Review
  This narrative review critically examines the integration of generative artificial intelligence (AI) in higher education, addressing a knowledge gap in understanding how AI-mediated learning aligns with sociocultural perspectives of cognitive development. Desp…
  preprints 2026 置信度 0.74
• Integrating Artificial Intelligence and Socratic Inquiry in Medical Education A Critical Framework for Clinical Reasoning Development
  Abstract Background : The integration of artificial intelligence (AI) in medical education represents a paradigm shift in pedagogical delivery, particularly in addressing the persistent gap between basic science knowledge and clinical application. The Socratic…
  preprints 2026 置信度 0.74
• Grounding Health AI: Architecture and Evaluation of a Domain-Expert Metabolic Health Agent
  General-purpose language models generate fluent health reports that can fabricate derived clinical met-rics. In an illustrative comparison on identical two-week CGM and meal data, leading foundation models produced reports with invented MAGE values, inflated m…
  preprints 2026 置信度 0.74
• Digital Health and the use of AI in Healthcare for Universal Health coverage- A PRISMA guided Systematic review
  Abstract Introduction: Digital health and artificial intelligence are increasingly acknowledged as critical components in advancing Universal Health Coverage (UHC), particularly within low- and middle-income countries. Objectives The objective of this systemat…
  preprints 2026 置信度 0.74
• Safety, Hallucination, and Failure Modes in Agentic Health AI: A State-of-the-Art Review
  The deployment of agentic artificial intelligence systems in clinical environments is accelerating rapidly, with autonomous agents increasingly applied across radiology, clinical decision support, intensive care monitoring, drug discovery, and patient facing c…
  preprints Zvinodashe Revesai, Tawanda Mushiri 2026 置信度 0.74
• A Management Science Framework for Predictive Optimisation Using the EDNN–LR Model: Algorithmic Insights from Industry 4.0 Systems
  Artificial Intelligence (AI) is increasingly central to modern system engineering and service operations, enabling real-time decision-support in cyber-physical and data-intensive environments. This study develops an Extended Deep Neural Network–Logistic Regres…
  preprints 2026 置信度 0.74
• The future of early cancer detection: emerging diagnostic technologies for liver and ovarian cancers
  Abstract Background Liver and ovarian cancers are often diagnosed at advanced stages due to the absence of, or vague, early-stage symptoms. Current diagnostic approaches have limitations in accuracy, accessibility, and scalability, highlighting the need for in…
  preprints 2026 置信度 0.74
• Data Heterogeneity and Algorithmic Bias in AI-Based Antimicrobial Resistance Prediction: A Systematic Review and Mitigation Framework
  Abstract Background Antimicrobial resistance (AMR) represents one of the most critical global public health threats of the contemporary era, contributing to millions of deaths and substantial morbidity across all regions of the world (Murray et al., 2022). Art…
  preprints 2026 置信度 0.74
• Deep Learning for Lesion Classification in CT Imaging: A Systematic Literature Review
  Abstract Accurate lesion classification in computed tomography (CT) imaging is crucial for early diagnosis and effective clinical decision-making. With the growing adoption of low-dose CT (LDCT) to reduce radiation exposure and the rapid evolution of deep lear…
  preprints 2026 置信度 0.74
• Data-driven artificial intelligence for current diagnostic support in dogs and cats: a scoping review
  Abstract Veterinary diagnosis in dogs and cats increasingly relies on digitized data, creating opportunities for data-driven artificial intelligence (AI) to support current diagnostic assessment. We conducted a scoping review to map the peer-reviewed literatur…
  preprints 2026 置信度 0.74
• A 33-Year arXiv Bibliometric Census of Four Core AI Subfields: Pre-Registered Tests of Subfield Growth, Cross-Subfield Convergence, Paradigm-Shift Keyword Dynamics, and the Korean Institutional Share
  Abstract The volume of artificial-intelligence research on arXiv has grown without precedent, but the long-horizon trajectory, the cross-subfield convergence, the keyword-level paradigm-shift dynamics, and the Korean institutional share of the four core arXiv …
  preprints 2026 置信度 0.74
• Using AI to Broaden the Reach and Inclusivity of Psychological Publications
  Hernandez’s (2025) editorial in Perspectives on Psychological Science (PoPS) outlines promising future directions for making the journal more inclusive, particularly by exploring new publication formats. While these suggestions (e.g., audio formats, non-Englis…
  preprints 2026 置信度 0.74
• From Product to Process: Integrating AI-Driven Analytics into Teaching Factory Quality Assurance for Real-Time Skills Validation
  Abstract This systematic literature review aims to critically synthesize existing research on the integration of Artificial Intelligence (AI)-driven analytics into the quality assurance (QA) frameworks of teaching factories in vocational education. Specificall…
  preprints 2026 置信度 0.74