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• Combining Physics and Machine Learning: Hybrid Models for Predicting Interatomic Potentials
  Constructing accurate Potential Energy Surfaces (PES) is a central task in molecular modeling, as it determines the forces governing nuclear motion and enables reliable quantum dynamics simulations. While ab initio methods can provide accurate PES, they are co…
  crossref Kaoutar El Haloui, Nicolas Thome, Nicolas Sisourat 2025-11-10T17:45:34Z 置信度 0.70
• Vibrational Power Spectra as a Tool to Benchmark Universal Machine-Learning Interatomic Potentials for Molecular Systems: The OMOL-1k-MD Data Set
  We present OMOL-1k-MD, a new data set for the benchmark and training of universal machine-learning interatomic potentials (uMLIPs). It contains three independent ab initio molecular dynamics (AIMD) trajectories of 10 ps each for 1000 arbitrarily chosen neutral…
  crossref Maximilian Bechtel, Julien Steffen 2026-03-10T07:15:42Z 置信度 0.70
• One To Rule Them All: A Universal Interatomic Potential Learning Across Quantum Chemical Levels
  All so far reported universal ML interatomic potentials target a single quantum chemical (QC) level due to the challenges associated with learning on heterogeneous data sets. Here we introduce an all-in-one approach for learning across QC levels, which we leve…
  crossref Yuxinxin Chen, Pavlo O. Dral 2025-04-23T05:01:12Z 置信度 0.70
• Elucidating Hydroxide Transport in Anion Exchange Polymer Membranes Via Machine Learning Interatomic Potentials
  Efficient ion transport is fundamental to the performance of electrochemical energy devices such as fuel cells and electrolysers. Understanding the ion transport mechanisms within anion exchange membranes (AEMs) provides valuable insights for membrane design. …
  crossref Yijie Yang, Charlotte E Breakwell, Alexander M Ganose, Qilei Song 等 2026-02-25T14:19:35Z 置信度 0.70
• From descriptors to machine learning interatomic potentials: a review of AI-accelerated electrocatalyst design
  Electrocatalysis underpins key energy-conversion reactions, such as carbon dioxide reduction and oxygen evolution/reduction reactions; however, catalyst screening based on density functional theory (DFT) is constrained by rapidly escalating computational costs…
  crossref Yueyang Lin, Pengfei Ou 2026-01-07T02:00:04Z 置信度 0.70
• Thermal Transport in Disordered Wurtzite Scaln Alloys Using Machine Learning Interatomic Potentials
  crossref Haoyu Dong, Zhiqiang Li, Baole Sun, Yanguang Zhou 等 2024-03-18T19:49:28Z 置信度 0.70
• Review for "Driving force of atomic ordering in Fe-Pt alloys, investigated by density functional theory and machine-learning interatomic potentials Monte Carlo simulations"
  crossref 2025-03-01T16:20:52Z 置信度 0.70
• Performance Comparisons of NequIP and DPMD Machine Learning Interatomic Potentials for Tobermorites
  crossref Keming Zhu 2024-07-05T20:18:05Z 置信度 0.70
• One To Rule Them All: A Universal Interatomic Potential Learning Across Quantum Chemical Levels
  With the development of universal machine learning interatomic potentials, a rapidly growing number of chemical space datasets appear. One of the biggest challenges is that these datasets are mostly generated at different quantum chemical (QC) levels. However,…
  crossref Yuxinxin Chen, Pavlo O. Dral 2025-08-28T09:27:08Z 置信度 0.70
• Unraveling the Mechanism of Ductility Enhancement in W-Ta Alloys with Machine-Learning Interatomic Potentials
  crossref Haoyu Hu, Chao Zhang, Rui Yue, Biao Hu 等 2024-07-27T14:24:55Z 置信度 0.70
• Understanding the thermal conductivity of inorganic solid electrolyte interphase (SEI) components LiF and Li2O using machine learning-based interatomic potential
  crossref Siwen Tang, Jiajia Li, Yun Cao, Guobing Zhou 2026-04-06T14:08:38Z 置信度 0.70
• Author response for "Machine Learning Inversion of Interatomic Force Constants from Single-Crystal Inelastic Neutron Scattering"
  crossref Aiden Sable, Bander Linjawi, Kyle Bradbury, Jordan Malof 等 2026-03-17T21:11:08Z 置信度 0.70
• Machine-learned interatomic potential for large-scale simulations of the CrCoNi medium-entropy alloys
  CrCoNi medium-entropy alloys exhibit exceptional mechanical properties arising from pronounced chemical complexity, including short-range order (SRO) and low stacking fault energy, posing challenges for large-scale atomistic simulations. While most models focu…
  crossref Yong-Chao Wu, Tero Mäkinen, Mikko Alava, Amin Esfandiarpour 2026-06-27T15:13:58Z 置信度 0.70
• Machine learning interatomic potential for friction study in silicon and molybdenum disulfide
  crossref Shujia Wan, Ruiting Tong, Bing Han, Haochen Zhang 2024-12-13T20:59:39Z 置信度 0.70
• Insights into the primary radiation damage of silicon by a machine learning interatomic potential
  We develop a silicon Gaussian approximation machine learning potential suitable for radiation effects, and use it for the first ab initio simulation of primary damage and evolution of collision cascades. The model reliability is confirmed by good reproduction …
  crossref A. Hamedani, J. Byggmästar, F. Djurabekova, G. Alahyarizadeh 等 2020-06-01T07:42:45Z 置信度 0.70
• Local Environment-Aware Prediction of Catalytic Activity for the Hydrogen Evolution Reaction in Alloy Nanoparticles Via Machine Learning Interatomic Potentials
  crossref Hung Ngo Manh, Sang Uck Lee 2025-06-11T15:42:07Z 置信度 0.70
• Harnessing machine learning for efficient large-scale interatomic potential for sildenafil and pharmaceuticals containing H, C, N, O, and S
  In this study a cutting-edge approach to producing accurate and computationally efficient interatomic potentials using machine learning algorithms is presented. Specifically, the study focuses on the application of Allegro, a novel machine learning algorithm, …
  pubmed E. Nikidis, N. Kyriakopoulos, R. Tohid, K. Kachrimanis 等 2024 置信度 0.82
• Machine-learning interatomic potentials for materials science
  crossref Y. Mishin 2021-05-18T20:28:54Z 置信度 0.70
• Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys
  Abstract Recent advances in machine learning, combined with the generation of extensive density functional theory (DFT) datasets, have enabled the development of universal machine learning interatomic potentials (uMLIPs). These models offer broad applicability…
  crossref Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao 等 2025-06-30T18:58:29Z 置信度 0.70
• Machine learning scheme for fast extraction of chemically interpretable interatomic potentials
  We present a new method for a fast, unbiased and accurate representation of interatomic interactions. It is a combination of an artificial neural network and our new approach for pair potential reconstruction. The potential reconstruction method is simple and …
  crossref Pavel E. Dolgirev, Ivan A. Kruglov, Artem R. Oganov 2016-08-24T13:37:11Z 置信度 0.70
• From Telehealth to Artificial Intelligence: Digital Health Technologies for Indigenous Communities—A Systematic Review of Diagnostic Access, Ethical Governance, and Sustainable Health Equity
  Indigenous communities worldwide face persistent health inequities rooted in colonial histories, geographic remoteness, and structural exclusion from diagnostic services. Artificial intelligence (AI) and digital health technologies are promoted as instruments …
  preprints 2026 置信度 0.74
• Bringing the Past to Life in the Digital Era: A Bibliometric Analysis of Educational Technology Integration in History Education
  Abstract Digital transformation has reshaped history education, yet the intellectual structure connecting educational technology and history education remains fragmented across disciplinary outlets. This bibliometric review systematically maps 161 Scopus-index…
  preprints 2026 置信度 0.74
• AI Chatbots for University Student Mental Health: Bibliometric Mapping and Systematic Review with Future Directions for Sustainable Development Goals
  Abstract University students worldwide are experiencing increasing mental health challenges, while existing support resources remain insufficient. Artificial intelligence–based chatbots have emerged as scalable and accessible tools for psychological support, a…
  preprints 2026 置信度 0.74
• Cohort profile: the Cohort for Risk Prediction Model Evaluation (CORE) for external validation of models identifying high-risk pregnant women in the early second trimester
  Purpose The Cohort for Risk Prediction Model Evaluation (CORE) was established to externally validate prediction models that identify high-risk pregnancies in the early second trimester. Such models are often developed on small, single-source datasets and seld…
  preprints 2026 置信度 0.74
• The Application of Artificial Intelligence in the Field of Dental Restoration for Designing Dental Crowns: A Meta-Analysis
  Abstract Background This meta-analysis was aimed at investigating the differences between dental crowns designed by artificial intelligence (AI) and those designed through traditional computer-aided design (CAD) processes to provide a reference for the clinica…
  preprints 2026 置信度 0.74
• Investigating Language and Cognition in Virtual Reality
  The experimental study of language and cognition has traditionally relied on laboratory paradigms that isolate linguistic processing from its physical and social context. While these methods offer high experimental precision, they often fail to capture the mul…
  preprints 2026 置信度 0.74
• Citation Pattern Explorer
  Summary Citation Pattern Explorer is a single, self-contained HTML file. Given an ORCID iD, it fetches that author's complete works record live from the open OpenAlex API and renders an interactive analysis of what kinds of output earn citations for that resea…
  datacite Ludwig, Ralf 2026 置信度 0.66 bibliometrics, scientometrics, citation analysis, research metrics, research impact, research assessment, science of science, publication analysis, OpenAlex, ORCID, research information, interactive dashboard, data visualization, web application, open-source software, client-side, research strategy, real-world evidence, dermatology
• Artificial Intelligence and Machine Learning–Driven Analytical Method Development
  “Originally published in IJPPR Human Journals”. ABSTRACT The rapid evolution of artificial intelligence (AI) and machine learning (ML) has profoundly transformed analytical method development, offering data-driven solutions to long-standing challenges in separ…
  datacite Swetha.A1, TuljaRani.G2, Manasa.K3, Tulasi.K4 2026 置信度 0.66
• Artificial Intelligence and Machine Learning–Driven Analytical Method Development
  “Originally published in IJPPR Human Journals”. ABSTRACT The rapid evolution of artificial intelligence (AI) and machine learning (ML) has profoundly transformed analytical method development, offering data-driven solutions to long-standing challenges in separ…
  datacite Swetha.A1, TuljaRani.G2, Manasa.K3, Tulasi.K4 2026 置信度 0.66
• Commercial Artificial Intelligence for Intracranial Aneurysm Detection on CT Angiography: A Systematic Review
  Abstract Background Intracranial aneurysms may go undetected or incompletely characterized on CT angiography (CTA) in clinical practice. Unrecognized lesions carry the risk of subsequent hemorrhage. Commercially available AI software for intracranial aneurysm …
  preprints 2026 置信度 0.74
• Predictive Models and Artificial Intelligence for Risk Stratification in Emergency Abdominal Surgery: A Contemporary Review
  Background: /Objectives: Emergency abdominal surgery is associated with substantial morbidity and mortality due to disease severity, physiological instability, and limited opportunities for preoperative optimization. Accurate risk stratification is therefore e…
  preprints 2026 置信度 0.74
• Advances in Artificial Intelligence for Postoperative Analgesia: A Narrative Review
  With the rapid advancement of medical informatization, the integration of the healthcare industry with artificial intelligence (AI) technologies has emerged as a major focus in both medical and information science research. Contemporary medical information sys…
  preprints 2026 置信度 0.74
• Artificial intelligence in higher education assessment: an umbrella review of methodological quality and evidence consistency
  Abstract The rapid expansion of artificial intelligence (AI) in higher education has positioned assessment as one of the most affected academic practices, yet the methodological robustness of review-level evidence remains unclear. This study conducts an umbrel…
  preprints 2026 置信度 0.74
• Review: “Squeezing” Quantum-like Interdependence Outweighs AI Risks, Cognitive Science Limits, Yet Its Duality Promotes Random Choices, Generalizations and Advantages that Advance Science
  In this review article, we introduce the problem of team interaction, cover the mathematics, results, discussion, conclusions, and a path forward. To begin, cognitive science assumes a 1:1 relationship between beliefs and actions, whether with games, concepts,…
  preprints William Lawless 2026 置信度 0.74
• Analgesic Drugs: a medicinal chemistry with Artificial Intelligence
  Abstract Background The medicine field is advancing in important directions and the developed pain therapy have the potential of impacting both the science and the clinical practice regarding scale or types of pain. (A pain scale is a tool that doctors use to …
  preprints 2026 置信度 0.74
• Can Artificial Intelligence Match Dermoscopy in Melanoma Detection? Evidence from a Systematic Review and Meta-analysis of Pigmented Skin Lesions
  Abstract Background Accurate risk stratification of pigmented skin lesions is essential for early melanoma detection and reducing unnecessary excisions. Although artificial intelligence (AI) is increasingly applied to dermoscopic image analysis, its diagnostic…
  preprints 2026 置信度 0.74
• Artificial Intelligence in Diagnosing and Treating Temporomandibular Joint Disorders: A Review
  Introduction: With the rapid advancement in artificial intelligence (AI), its integration into medical fields has gained momentum. AI technologies is increasingly applied for diagnosing and managing temporomandibular joint disorders (TMD), which affect one of …
  preprints 2026 置信度 0.74
• A Systematic Review and Unified Framework for Predictive Maintenance in the Railway Domain
  Predictive maintenance has emerged as a key strategic approach across numerous industrial sectors, particularly in the current context marked by the systematic integration of artificial intel-ligence (AI) technologies into asset management processes. Within th…
  preprints 2026 置信度 0.74
• Competency frameworks for digital literacy and artificial intelligence in medical and health professions education: protocol for a scoping review
  Abstract Background Digital transformation of health systems has intensified calls to strengthen digital health competencies across the health workforce. In medical and health professions education, students and faculty are increasingly expected to engage crit…
  preprints 2026 置信度 0.74
• Conditional Acceptance and the Optimism–Knowledge Gap: A Scoping Review of Attitudes and Perceptions of Artificial Intelligence in Healthcare in Italy
  Background: /Objectives: Artificial intelligence (AI) is integrated into diagnostic, thera-peutic, administrative, and communicative healthcare domains in Italy under regulations requiring human oversight. Empirical evidence on AI attitudes, acceptance, and pe…
  preprints 2026 置信度 0.74
• Artificial Intelligence-Driven Flight Disruption Management: A Scoping Review and Critical Evidence Synthesis for Predictive Decision Support in Airline Operations Control Centers
  Abstract Airline Operations Control Centers (OCCs) manage disruptions in a tightly coupled socio-technical system in which weather, airport and airspace constraints, aircraft availability, crew legality, ground processes, and passenger connections interact. Th…
  preprints 2026 置信度 0.74
• Machine learning and data-driven models for predicting post-stroke dysphagia: a systematic review and meta-analysis
  Background Post-stroke dysphagia (PSD) contributes to aspiration, pneumonia, malnutrition, prolonged hospitalization and mortality. We evaluated the discrimination, validity and readiness of machine learning and data-driven prediction models for PSD-related ou…
  preprints 2026 置信度 0.74
• Standalone commercial artificial intelligence software for pulmonary nodule detection on chest radiographs: a systematic review
  Abstract Background Pulmonary nodules may be missed on chest radiographs despite their clinical relevance for early lung cancer detection. Commercial artificial intelligence (AI) systems are increasingly available for chest radiograph interpretation, but evide…
  preprints 2026 置信度 0.74
• Artificial Intelligence in Nanopharmaceutical Development: From Predictive Design to Clinical Translation
  Artificial intelligence (AI) is increasingly influencing nanopharmaceutical development by supporting the transition from empirical formulation screening toward predictive, data-driven, and translationally oriented design. Nanocarrier-based therapeutics are go…
  preprints 2026 置信度 0.74
• Preparing Pre-service Teachers to Teach with Physical Learning Environments: A Systematic Review
  Abstract This systematic review examines how intentionally designed learning experiences in initial teacher education prepare pre-service teachers to use innovative physical learning spaces pedagogically. Following PRISMA 2020, searches of Scopus and Web of Sc…
  preprints 2026 置信度 0.74
• Advances in nondestructive techniques for quality and safety assessment of olive products using AI and big data analytics: A systematic review
  Abstract Background Ensuring quality and safety of olive products is critical for consumer health, market value, and cultural heritage. Traditional destructive techniques are limited by their time-consuming and sample damage. Nondestructive techniques (NDT) al…
  preprints 2026 置信度 0.74
• Bridging Human Deception to AI Exploitation: A Systematic Review of Psychological Strategies in LLM Model Manipulation
  The rapid advancement of large language models (LLMs) has introduced unprecedented capabilities in human-AI interaction, yet it has also created new opportunities for exploitation and manipulation. This systematic literature review investigates the psychologic…
  preprints Noah Schiffman, Jimmy Ardis 2026 置信度 0.74
• The Crisis of Scholarly Communication in the Open Access Environment: Pathways to Diamond Open Access
  This paper presents a critical analysis of the current system of scholarly communication, which has undergone a profound transformation under the influence of excessive commercialization within the neoliberal "publish or perish" paradigm. The study demonstrate…
  preprints 2026 置信度 0.74
• Mechanistic Pedotransfer Functions for Soil Property Prediction Integrating Process Based Modeling and Data Driven Approaches
  Abstract Pedotransfer functions (PTFs) have become indispensable tools in soil science for estimating difficult-to-measure soil properties from readily available data. Traditional PTFs have largely relied on empirical and statistical relationships, which often…
  preprints 2026 置信度 0.74
• A Conceptual Framework for ISO/IEC 27001 Audit Augmentation Using Multi-Modal Machine Learning: Integrating Document Review, Field Observation, and Conversational AI Interview
  The audit of Information Security Management Systems (ISMS) under ISO/IEC 27001:2022 has traditionally relied on human auditors whose competence, experience, and judgment shape audit outcomes. While effective, this human-centric approach suffers from inter-aud…
  preprints 2026 置信度 0.74
• Beyond Diagnosis: A Scoping Review of Machine Learning and NLP for Multilevel Mental Health Factors in Population Crises
  Background: Natural disasters, pandemics, armed conflict, and economic upheaval inflict lasting harm on mental wellbeing, yet what determines who recovers and who deteriorates remains poorly understood across crisis types. Objectives: This review maps how cris…
  preprints 2026 置信度 0.74
• Artificial Intelligence and Machine Learning in Sports Medicine: Mapping clinical tasks and assessing clinical maturity - a scoping review
  Abstract Artificial intelligence (AI) and machine learning (ML) are rapidly transforming the medical field. The aim of this review was to outline the current scientific state of AI and ML application in sports medicine, evaluate the developmental and clinical …
  preprints 2026 置信度 0.74
• From Human Oversight to Human-in-the-Loop: Evolving Governance of Human–AI Interaction in Healthcare and AI Development
  Background: Artificial intelligence (AI) has moved from research labs into the everyday work of clinicians and software engineers. In healthcare, AI systems now shape triage, imaging interpretation, risk prediction and documentation workflows, while in compute…
  preprints 2026 置信度 0.74
• Mapping the Intellectual Architecture of Education for Sustainable Development in Higher Education: A Bibliometric and AI-Assisted Thematic Synthesis
  Background: Despite the exponential growth of research on Education for Sustainable Development (ESD) in higher education, the field remains characterized by geographic concentration, methodological constraints, and conceptual fragmentation between established…
  preprints 2026 置信度 0.74
• Development, validation and use of artificial-intelligence-related technologies to assess basic motor skills in children: a scoping review
  Background: In basic motor skills evaluation, two observers can eventually mark the same child’s performance differently. When systematic, this brings serious noise to the assessment. New motion sensing and tracking technologies offer more precise measures of …
  preprints 2026 置信度 0.74
• Gate4EcoAI: A Digital Platform with Initiatives from World-Leading Smart Sustainable Cities (Part 1: Urban Water Management)
  Environmental planning is essential for climate action, as cities face air pollution, flooding, drought, and other environmental stresses. Yet research on these challenges remains limited in the state of Amazonas, Brazil. Building on a prior participatory stud…
  preprints 2026 置信度 0.74
• Artificial Intelligence to Support Debriefing in Simulation-based Healthcare Education: A Scoping Review
  Abstract Background : Artificial intelligence (AI) is increasingly being integrated into healthcare education, including simulation-based education. While AI applications in simulation are expanding, its role in supporting the debriefing phase of simulation re…
  preprints 2026 置信度 0.74
• Informed Consent in Artificial Intelligence-Augmented Dentistry: Clinical Care, Research, and the Dentist–Patient–AI Relationship: A Scoping Review
  Artificial intelligence (AI) is increasingly integrated into dental diagnostics, treatment planning, documentation, and research. While ethical principles such as transparency and accountability are widely discussed, there is limited synthesis of how informed …
  preprints 2026 置信度 0.74
• Innovation and Uncertainty in Middle Eastern Entrepreneurship: A Structured Narrative Review
  Abstract This is a structured narrative review that covers the literature published from 2020 to 2026 pertaining to the challenges of innovation and uncertainty that facing entrepreneurs in the Middle East emerging economies. The review, guided by a transparen…
  preprints 2026 置信度 0.74
• AI-Assisted Non-Invasive Biosensor Technologies for Privacy-Preserving Screening of Intimate Cancers: A Scoping Review
  Abstract Background Detecting cancers in sensitive anatomical regions such as the breast, cervix, and prostate at an early stage is crucial for improving survival outcomes and reducing the complexity of treatment. Traditional screening methods are often invasi…
  preprints 2026 置信度 0.74
• Project-based learning in STEAM subjects for socioformation: A systematic review of contributions, prevalence, and challenges
  While traditional Project-based Learning (PjBL) enhances engagement, creativity, and conceptual understanding, emerging socioformative approaches are pedagogies that highlight the need for interdisciplinary, ethically grounded projects addressing real-world ch…
  preprints 2026 置信度 0.74
• Review of Key Image Denoising Algorithms
  Abstract Images are one of the key sources of visual information and communication. It plays a crucial role in defense, AI, and forensic science, among others. However, it is prone to corruption from various types of noise from varying sources, mainly during a…
  preprints 2026 置信度 0.74
• Transformative Role of Artificial Intelligence and Machine Learning in Rehabilitation Engineering; A Systematic Review
  Abstract Objective : The field of rehabilitation engineering has evolved to incorporate Artificial Intelligence (AI) and Machine Learning (ML) into technologies and tools designed to assist and promote the rehabilitation of individuals suffering from stroke, p…
  preprints 2026 置信度 0.74
• Roadmap of Optical Tweezers: From Force Landscapes to Photonic Integration and Interdisciplinary Applications
  Optical tweezers (OTs) have transformed the ability to manipulate microscopic and nanoscopic matter using light, establishing a non-contact, high-precision platform for probing forces at the picoNewton scale. Since their first realization in the 1980s, OTs hav…
  preprints 2026 置信度 0.74
• Empathy of General-Purpose GenAI Models in Mental Health Context: A Scoping Review
  This scoping review mapped the existing literature on the capacity of GP-GenAI chatbots tosimulate empathy within mental health contexts. Following PRISMA-ScR guidelines, asystematic search of Web of Science, PubMed, APA PsycNet, and IEEE Xplore identified 25e…
  preprints 2026 置信度 0.74
• Generative Artificial Intelligence in the Energy Transition: A Scoping Review
  The energy transition faces challenges associated with the integration of variable renewa-ble energy sources, the management of uncertainty, and the increasing complexity of en-ergy systems. In this context, artificial intelligence (AI) has gained a significan…
  preprints 2026 置信度 0.74
• Two Paths of AI in Social Science Research: Super Agent and Human Mirror
  Large language models (LLMs) are being applied across the social sciences along two qualitatively different trajectories. The *super-agent* path optimizes models to reason correctly and solve problems as an idealized rational agent; the *human-mirror* path rep…
  preprints 2026 置信度 0.74
• Redefining Holistic Education: Bridging Culture and Islamic Values Through the STREM-C Curriculum Model (A Systematic Literature Review)
  Abstract Conventional STEM frameworks frequently marginalize socio-spiritual and cultural dimensions, prioritizing technocratic outcomes. This study evaluates the multidimensional STREM-C (Science, Technology, Religion, Engineering, Mathematics, and Culture) c…
  preprints 2026 置信度 0.74
• Governance of Artificial Intelligence in Clinical and Therapeutic Research: A Systematic Evaluation of Principles, Accountability, and the Implementation Gap
  Artificial intelligence is fast expanding in clinical research and medicinal development. In response, a considerable governance literature has arisen, characterised by ambitious theoretical frameworks but persisting gaps in practical implementation. This crit…
  preprints 2026 置信度 0.74
• Intraoperative Ultrasound in Hepatic Oncology Surgery: A Narrative Review of Its Impact on Surgical Strategy and Oncologic Outcomes
  Background: /Objectives: Intraoperative ultrasound (IOUS) has become an integral component of modern hepatic oncology surgery, providing real-time imaging guidance during liver resections for hepatocellular carcinoma, colorectal liver metastases, and other pri…
  preprints 2026 置信度 0.74
• Bridging the Gap Between Digital Literacy and Academic Interest in Higher Education: A Systematic Literature Review of Human-Centered Educational Technology
  Abstract This systematic literature review investigates the intersection of digital literacy and academic interest in higher education through the lens of human-centered educational technology. Guided by four research questions, this study synthesizes empirica…
  preprints 2026 置信度 0.74
• Artificial Intelligence, Sustainability, and the Development of Mathematical Thinking: A Theory-Grounded Scoping Review
  Artificial intelligence (AI) tools are increasingly integrated into mathematics education, yet most reviews emphasize achievement rather than how AI shapes mathematical thinking. This scoping review mapped literature published between 2020 and 2026 on AI-suppo…
  preprints 2026 置信度 0.74
• AI-facilitated child sexual exploitation and abuse: A Scoping Review Protocol
  Objective: To map the extent, nature, and definitions of the literature on AI-facilitated child sexual exploitation and abuse (CSEA) perpetration, including (i) threats associated with AI and emerging technologies used to facilitate CSEA, (ii) how these threat…
  preprints 2026 置信度 0.74
• Explainable Artificial Intelligence for the Detection and Characterisation of Stage B Heart Failure
  Background: Stage B heart failure is characterised by asymptomatic structural or functional cardiac abnormalities. Identifying individuals at this stage of diseases is clinically important, as early detection may enable the use of targeted interventions to pre…
  preprints 2026 置信度 0.74
• Reprogramming the Brain—iPSC Models Illuminating the Pathogenesis and Treatment of Alzheimer’s Disease and Other Dementias
  Induced pluripotent stem cells (iPSCs) have revolutionized the research landscape for Alzheimer's disease (AD) and related dementias by providing human, patient-specific neuronal models for studying the genetic and phenotypic diversity of these disorders.…
  preprints 2026 置信度 0.74
• Advanced Anthropometric and Body Composition Indices in Sports Science, Nutrition, and Health Assessment: A Systematic Review
  Abstract Anthropometric assessment is widely used in sports science, nutrition, and health evaluation as a practical and non-invasive method for analyzing body composition, physical performance, and metabolic health. This review aimed to synthesize current evi…
  preprints 2026 置信度 0.74
• Retrieval-Augmented Generation in Mental Health: A Systematic Review
  Abstract Background: Retrieval-augmented generation (RAG) grounds large language model outputs in external knowledge. Systematic reviews have examined RAG in healthcare and generative AI in mental health as separate topics. Objective: To systematically identif…
  preprints 2026 置信度 0.74
• Driven geospatial artificial intelligence modeling for climate change impact assessment: a global perspective
  Abstract The challenge of anthropogenic climate change requires a paradigm shift in analysis, moving beyond traditional modeling constraints toward the application of computational intelligence. Geospatial Artificial Intelligence (GeoAI), an emergent interdisc…
  preprints 2026 置信度 0.74
• Genomic and Machine Learning Approaches for Predicting Antimicrobial Resistance: A One Health Scoping Review in Low- and Middle-Income Countries
  Abstract Background Antimicrobial resistance (AMR) is a major global health threat affecting humans, animals, and the environment. Its burden is particularly severe in low- and middle-income countries (LMICs), where infectious diseases are prevalent, antimicro…
  preprints 2026 置信度 0.74
• Artificial Intelligence and Oral Cancer Diagnosis: Current Evidence, Critical Limitations, and the Basic Science Priorities Essential for Improving Diagnostic Accuracy
  Oral cancer remains one of the deadliest malignancies with more than half of late-stage patients dying within five years of diagnosis globally. Late presentation before initial diagnosis is a principal driver of poor outcomes for the disease. Artificial intell…
  preprints 2026 置信度 0.74
• The Role of Generative Artificial Intelligence for Scientific Writing: A Scoping Review of Empirical Evidence (2023-2026)
  This paper examines the empirical evidence on the use of generative artificial intelligence (GenAI) in scientific writing. A search was conducted in Google Scholar and PubMed, followed by an analysis of the included studies, which was performed according to th…
  preprints 2026 置信度 0.74
• Multilayer Ceramic Batteries: Toward Ceramic-Integrated Energy Storage Platforms Enabled by MLCC Manufacturing Technology
  Multilayer ceramic batteries (MLCBs) have emerged as promising chip-type all-solid-state energy-storage devices that combine the safety and thermal stability of oxide ceramic batteries with the manufacturing scalability of multilayer ceramic capacitor (MLCC) t…
  preprints 2026 置信度 0.74
• Conversational AI Agents in Physical Rehabilitation: A Scoping Review of Design, Applications, and Future Directions for Greek Physiotherapy
  Background: Conversational artificial intelligence (AI), including chatbots and large language models (LLM), based agents, is increasingly explored as a digital health intervention in physical rehabilitation. These systems offer potential benefits in patient e…
  preprints 2026 置信度 0.74
• Scoping Review of Post-Acute COVID-19 Syndrome: Is it COVID-19 Virus or the Vaccines?
  Abstract Introduction: COVID-19 pandemic affects physical, psychological and social well-being of many individuals globally. The emergence of COVID-19 vaccines minimised the risk of severe illness from COVID-19 and prevented many deaths. The aftermath of the p…
  preprints 2026 置信度 0.74
• Learning from Demonstration for Robotic Deburring and Polishing: A Systematic Mapping Study
  Contact-rich manufacturing processes such as surface cleaning, deburring, and polishing require precise force regulation and complex trajectory tracking that are challenging to automate using conventional robot programming methods. Learning from Demonstration …
  preprints 2026 置信度 0.74
• Composable Digital Intelligence
  Frontier AI systems built on foundation models exhibit markedly uneven competence. They generate fluent, graduate-level prose, yet in the same session fabricate citations, fail to retain constraints stated several turns earlier, and produce reasoning that does…
  preprints 2026 置信度 0.74
• Computational Veterinary Toxicology: A Translational Framework for One Health, Food Safety, and Antimicrobial Resistance
  The application of computational technologies in veterinary biochemistry and toxicology is revolutionizing translational science and making it more compatible with the One Health approach. With the distinction between animal, human, and environmental health di…
  preprints 2026 置信度 0.74
• Generative AI in Finance and Data Science: A Review and Financial-Mathematics Validity Checklist
  Generative artificial intelligence and foundation models are increasingly used in finance and data science for synthetic financial data, option-surface generation, market simulation, scenario construction, financial language modeling, and time-series forecasti…
  crossref Yuxuan Huang 2026-07-29T13:27:34Z 置信度 0.70
• Comparative review on Primo Research Assistant, Scopus AI, Web of Science Research Assistant and a explainer for AI search for librarians
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