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• Empowering chemists in drug design: Delivering AI solutions through an ELN framework at the enterprise level.
  Artificial intelligence (AI) holds immense potential to revolutionize drug discovery, yet its widespread adoption within scientific enterprises faces significant hurdles. Key challenges include ensuring user-friendliness, managing complex workflows, and integr…
  pubmed Qin T, Chandrasekaran A, Hoffman J, Shiers J 等 2026 Mar 置信度 0.82
• Changes in environments over 20 years and the assessment of individual long-term exposure to air pollution for epidemiology.
  To address the unavailability of air pollution measurements for individuals, epidemiological studies have estimated air pollution at people's residences or workplaces using exposure prediction models consisting of numerous geographic characteristics. However, …
  pubmed Jeong M, Jung G, Kim WK, Kim WJ 等 2026 Feb 置信度 0.82
• PathCLAST: pathway-augmented contrastive learning with attention for interpretable spatial transcriptomics.
  Deciphering how molecular programs are spatially organized within tissues is pivotal for understanding tumor evolution and microenvironmental interactions. Existing spatial transcriptomics tools either rely on gene-level features, ignoring the rich topology of…
  pubmed Noh M, Lee S, Kim S, Lim S 2026 Jan 7 置信度 0.82
• 18F-DOPA-PET and Advanced MRI Improve Treatment Response Assessment in IDH1/2-Mutant Gliomas Treated with IDH Inhibitors.
  Small-molecule inhibitors targeting isocitrate dehydrogenase (IDH) 1/2-mutant proteins have demonstrated benefit in IDH1/2-mutant gliomas. However, responses assessed by conventional MRI measurements are infrequent, delayed, and difficult to interpret, highlig…
  pubmed Prost D, Nichelli L, Rozenblum L, Laurenge A 等 2026 Apr 15 置信度 0.82
• Pharmacodynamics of Camizestrant Treatment in Postmenopausal Women With Estrogen Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Primary Breast Cancer: Results From the Randomized, Presurgical SERENA-3 Study.
  SERENA-3 is a presurgical window-of-opportunity (WOO) trial exploring the pharmacodynamic effects of camizestrant in postmenopausal women with newly diagnosed estrogen receptor (ER)-positive, human epidermal growth factor receptor 2-negative breast cancer.
  pubmed Robertson JFR, Gogitidze T, Katashvili Z, Rocha JEB 等 2026 Mar 20 置信度 0.82
• ViT-Stain: Vision transformer-driven virtual staining for skin histopathology via global contextual learning.
  Current virtual staining approaches for histopathology slides use convolutional neural networks (CNNs) and generative adversarial networks (GANs). These approaches rely on local receptive fields, struggle to capture global context, and long-range tissue depend…
  pubmed Hussain MA, Waris MA, Akram MU, Khan MJ 等 2026 置信度 0.82
• Genomic Erosion in the Assessment of Species' Extinction Risk and Recovery Potential.
  Many species are undergoing rapid population declines and environmental deterioration, leading to genomic erosion. Here we define genomic erosion as the loss of genetic diversity, accumulation of deleterious mutations, maladaptation, and introgression, all of …
  pubmed van Oosterhout C, Speak SA, Birley T, Hitchings LWG 等 2026 Feb 2 置信度 0.82
• Artificial intelligence and precision medicine: a pilot study predicting optimal ceftaroline dosage for pediatric patients.
  Accurate drug dosing in pediatrics is complicated by age-related physiological variability. Standard weight-based dosing may result in either subtherapeutic exposure or toxicity. Machine learning (ML) models can capture complex relationships among clinical var…
  pubmed Frasca M, Gazzaniga G, Graziosi A, De Nicolo V 等 2025 置信度 0.82
• A Modular Deep-Learning Framework for Automated Fetal Biometry: Proof-of-Concept Evaluation of Head, Abdominal, and Femur Measurements.
  Background Accurate fetal biometry is pivotal for assessing fetal growth, well-being, and gestational age estimation. Despite its clinical importance, manual ultrasound measurements remain highly operator-dependent and subject to inter-observer variability. Ar…
  pubmed Sundaramoorthy K, Ganeshbabu M, M R MB, N J 等 2025 Dec 置信度 0.82
• Developing and Validating a Competency Framework for Non-clinical Simulation Operations Specialists.
  Simulation-based education (SBE) is essential for developing and maintaining clinical skills, yet its effectiveness is partially contingent on simulation operations specialists (SOS) who provide technical, pedagogical, and safety support. Traditionally, SOS ro…
  pubmed Jagannathan A, Al-Bayati R, Clarke KM, Micallef J 等 2025 Dec 置信度 0.82
• Validating GenAI feedback in suicide prevention training: a mixed-methods study of QPR skill assessment.
  Gatekeeper training using the Question, Persuade, and Refer (QPR) model has become a key strategy in suicide prevention. Yet traditional QPR-based training methods are limited by their lack of scales, interactive practice and reliable assessments of skill acqu…
  pubmed Haber Y, Levi-Belz Y, Elbak YS, Elyoseph Z 等 2025 置信度 0.82
• Explainable AI for classifying vertebral fracture histology in digital spine pathology.
  Vertebral compression fractures (VCFs) commonly arise from osteoporosis, trauma, or malignancy. Accurate subtype differentiation is clinically essential but remains challenging using conventional imaging and histology.
  pubmed Yang P 2025 置信度 0.82
• Ten tips for utilizing AI to generate high quality OSCE stations in medical education.
  Artificial intelligence (AI) is reshaping medical education, offering novel solutions to long-standing challenges in clinical assessment design. One of the most resource-intensive components of assessment is the development of high-quality Objective Structured…
  pubmed Zafar I, Aboueisha H, Elhassan I, Shersad F 等 2025 置信度 0.82
• ChatGPT-4o Mini Fabricates and Miscites Evidence for American Academy of Orthopaedic Surgeons Hip Fracture Clinical Practice Guidelines.
  Generative artificial intelligence (AI) large language model (LLM) chatbots, such as ChatGPT, are increasingly used to answer medical questions. This study sought to assess the accuracy and quality of evidence cited in ChatGPT-4o mini responses to questions pe…
  pubmed McCavitt D, Shabani S, Mulakaluri A, Dhandi S 等 2026 Jan-Mar 置信度 0.82
• Convergent Validity of Multiple 24-h Dietary Recalls and Food Frequency Questionnaire in Calculating the Dietary Inflammatory Index Score in Community-Dwelling Older Adults.
  Reliable dietary assessment methods underpin the confidence in reported dietary outcome measures including a priori dietary pattern indexes such as the dietary inflammatory index (DII) score. The food frequency questionnaire (FFQ) is commonly used to gather di…
  pubmed Linton C, Schaumberg MA, Wright HH 2026 Feb 置信度 0.82
• Big data approaches to bovine bioacoustics: a FAIR-compliant dataset and scalable ML framework for precision livestock welfare.
  The convergence of IoT sensing, edge computing, and machine learning is revolutionizing precision livestock farming. Yet bioacoustic data streams remain underexploited due to computational-complexity and ecological-validity challenges. We present one of the mo…
  pubmed Kate M, Neethirajan S 2025 置信度 0.82
• Governing digital transformation in ports: Policy learning from the 5G-LOGINNOV project.
  Seaports constitute strategic nodes in global supply chains and play a central role in the ongoing digital and green transition. Technologies such as 5G and artificial intelligence (AI) have the potential to enhance operational efficiency, safety, and environm…
  pubmed Catana E, Merlo F, Perboli G 2025 置信度 0.82
• Dataset of RGB-D images of object collections from multiple viewpoints with aligned high-resolution 3D models of objects.
  We present the HILO dataset consisting of high-resolution 3D scanned models for 253 common-use objects and 32,256 multi-viewpoint RGB-D images with typically low-resolution data for 144 tabletop scenes consisting of collections of random sets of 10 objects dra…
  pubmed Song X, Li M, Banerjee S, Banerjee NK 2026 Apr 置信度 0.82
• EO-based long term cropland and paddy monitoring with the farm action toolkit (FAcT): strengthening policy support in Bhutan.
  Bhutan's Five-Year Strategic Plan (FYP) guides national development, resource allocation, and food security. Reliable, spatiotemporally explicit agricultural land-use data is essential for tracking progress and enabling policies such as subsidies and tax conce…
  pubmed Phalke AR, Cox SE, Limaye AS, Dorji R 等 2026 置信度 0.82
• Empirical evidence for structural balance theory in functional brain networks.
  Structural balance theory, widely used in social network research, has recently been applied to brain network studies to explore how higher-order interactions relate to neural function and dysfunction. The theory is founded on the core assumption that balanced…
  pubmed Saberi M, HaqiqiFar A, Abdolalizadeh A, Misic B 等 2025 置信度 0.82
• Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare.
  In the context of Code Generation AI (Code Gen AI), "rich" and "quality" data refer to datasets that are not only syntactically and structurally sound but also context-aware, domain-specific, and semantically aligned with the target application. Unlike large-s…
  pubmed Ramachandran M, Fouracre S 2025 置信度 0.82
• Development of a diagnostic model for esophageal achalasia assessed by esophageal high-resolution manometry using artificial intelligence.
  Esophageal high-resolution manometry (HRM) is an important tool for diagnosing and assessing esophageal achalasia. Artificial intelligence (AI)-assisted HRM image processing has the potential to aid in the diagnosis of esophageal achalasia. However, addressing…
  pubmed Tabuchi M, Nakao Y, Minami H, Inomata H 等 2026 Mar 置信度 0.82
• Advances and challenges in single-cell RNA sequencing data analysis: a comprehensive review.
  Single-cell RNA sequencing (scRNA-seq) has transformed the resolution of cellular heterogeneity, offering insights into dynamic biological processes from tumor evolution to immune regulation. However, its clinical translation is limited by challenges such as d…
  pubmed Nesari AM, MotieGhader H, Ghorbian S, Ali Mohammad Nesari 等 2026 Jan 7 置信度 0.82 Computational biologyComputer scienceWorkflowData scienceSystems biology
• Evaluating the ability of AI models to generate level-specific medical MCQs with variable difficulty.
  OBJECTIVE: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is increasingly applied in medical education to automate assessment design. However, concerns persist regarding the content accuracy, cognitive depth, and psych…
  pubmed Al-Lawama M, Altamimi O, Altamimi E 2026 Jan 31 置信度 0.82
• Decoding the ERS-CAF immunoregulatory axis via multimodal AI and its pan-cancer prognostic and therapeutic predictive value.
  Endoplasmic reticulum stress-related cancer-associated fibroblasts (ERS-CAF) remodel the tumor microenvironment and drive immune exclusion and therapy resistance in chordoma, yet routine and non-invasive readouts of this biology are lacking. We hypothesized th…
  pubmed Zheng BW, Xia C, Tang M, Huang W 等 2026 Jan 30 置信度 0.82
• AI-driven virtual screening platform identifies novel NSUN2 inhibitor candidates for targeted cancer therapy: a computational drug discovery approach.
  The RNA cytosine-5 methyltransferase NSUN2 is an emerging therapeutic target in precision oncology, with aberrant overexpression driving tumor progression, metastasis, and therapy resistance across multiple malignancies. Despite its critical role in cancer bio…
  pubmed Yu S, Peng Q, Wei W, Li X 等 2026 Jan 30 置信度 0.82
• Assumption-light feature discovery outperforms Cox-based selection for PM2.5 constituent analysis in an open benchmark.
  AI misapplications are widespread in environmental research, often arising from limited understanding of machine learning assumptions and their alignment with complex exposure-outcome relationships. Motivated by Chen et al., who used marginal structural Cox mo…
  pubmed Takefuji Y 2026 Apr 1 置信度 0.82
• Assessing the Evolution and Influence of Medical Open Databases on Biomedical Research and Health Care Innovation: A 25-Year Perspective With a Focus on Privacy and Privacy-Enhancing Technologies.
  The integration of medical open databases with artificial intelligence (AI) technologies marks a transformative era in biomedical research and health care innovation. Over the past 25 years, initiatives like PhysioNet have revolutionized data access, fostering…
  pubmed Yang A, Pan ML, Lu HH, Lien CY 等 2026 Jan 30 置信度 0.82
• A Novel Integrative Framework for Depression: Combining Network Pharmacology, Artificial Intelligence, and Multi-Omics with a Focus on the Microbiota-Gut-Brain Axis.
  Major Depressive Disorder (MDD) poses a significant global health burden, characterized by a complex and heterogeneous pathophysiology insufficiently targeted by conventional single-treatment approaches. This review presents an integrative framework incorporat…
  pubmed Zhang L, Chen K, Li S, Liu S 等 2025 Dec 18 置信度 0.82
• How ready are we to use artificial intelligence in our fight against antimicrobial resistance? An ESGAID and EAAS perspective.
  Antimicrobial resistance (AMR) remains one of the greatest threats to global health, requiring innovative approaches to antibiotic discovery, surveillance, diagnosis, and prescribing. In recent years, artificial intelligence (AI) has increasingly been applied …
  pubmed Giacobbe DR, Ahmad R, Akilli FM, Ascandari A 等 2026 Jan 置信度 0.82
• Perceptions of the Furhat social robot administering a mental health assessment: a pilot mixed-method exploration.
  In the era of artificial intelligence and rapidly advancing robotics, the field of Human-Robot Interaction (HRI) has taken center stage across multiple domains, including psychology. From a psychological perspective, it is therefore essential to deepen our und…
  pubmed Tsvetkova P 2025 置信度 0.82
• Cardiovascular risk stratification without recalibration: A comparative study of the PREVENT and WHO risk scores in a multiethnic Brazilian cohort.
  Models predicting ASCVD risk often overestimate risk in diverse populations from low- and middle-income countries (LMICs), limiting their clinical utility and efficiency of resource allocation.
  pubmed Pedroso AF, Brant LCC, Ribeiro ALP, Barreto SM 等 2026 Feb 置信度 0.82
• Smart assistive technologies for neurodisorders: A review on AI, IoT, and wearable systems for enhanced patient care.
  Neurological disorders of the brain and spinal cord affect millions of individuals worldwide and continue to rise in prevalence. Conditions such as Alzheimer's disease, Parkinson's disease, epilepsy, spinal cord injury, and neurodevelopmental disorders disrupt…
  pubmed Chouhan S, Ghai D, Sandhu R, Tripathi SL 2026 Jan 30 置信度 0.82
• AI-enabled, QbD-aligned Predictive, and Sustainable Design of Natural Polymer-based Drug Delivery Systems.
  Natural polymers such as chitosan, alginate, cellulose, gelatin, and silk fibroin have become central to modern drug delivery research due to their biocompatibility, biodegradability, and environmental sustainability. However, variability in source, molecular …
  pubmed Suksaeree J, Maneewattanapinyo P, Monton C 2026 Jan 29 置信度 0.82
• Implementation strategies for embedding patient-reported outcome and experience measures (PROMs/PREMs) in routine care: secondary analysis of an umbrella review.
  BACKGROUND: Routine capture of patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) is championed as core infrastructure for learning health systems and value-based care. Yet, the guidance on how to implement these measure…
  pubmed Fontaine G, Ramos J, Mooney M, Perron ME 等 2026 Jan 29 置信度 0.82
• Ontology-grounded knowledge graphs for mitigating hallucinations in large language models for clinical question answering.
  Large Language Models (LLMs) show strong potential in biomedical informatics but frequently generate hallucinated or factually incorrect responses, limiting their clinical utility. This study aims to develop and evaluate a GraphRAG framework using an ontology-…
  pubmed Ali M, Taha Z, Morsey MM 2026 Mar 置信度 0.82
• Integrating synergistic learning and ability grouping with AI-generated multi-tiered tasks to enhance reading attitudes and outcomes.
  Many EFL classrooms include students with diverse proficiency levels, complicating efforts to improve reading comprehension through one-size-fits-all instruction. This study addressed that challenge by examining how integrating AI-generated multi-tiered readin…
  pubmed Alghamdi LH, Alghizzi TM 2026 Mar 置信度 0.82
• Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study.
  Major Depressive Disorder (MDD) is one of the most prevalent psychological disorders and frequently co-occurs with alcohol use disorders, increasing the risk of functional impairment. Monitoring alcohol use during depression treatment is therefore critical for…
  pubmed Langener AM, Haddox D, Mackin DM, Price GD 等 2026 Apr 置信度 0.82
• Appropriate Medical Therapy Primarily Modifies Type 2 and Severity Biomarkers in Chronic Rhinosinusitis.
  Appropriate medical therapy (AMT) is first-line treatment for patients with chronic rhinosinusitis (CRS). We evaluated inflammatory structure, treatment-induced changes, and biomarker-outcome associations in AMT-managed patients.
  pubmed Park AC, Gleason BN, Stein E, Ghadersohi S 等 2026 Jun 置信度 0.82
• Collaborative and Cooperative Hospital "In-House" Medical Device Development and Implementation in the AI Age: The European Responsible AI Development (EURAID) Framework Compatible With European Values.
  The last years have seen an acceleration in the development and uptake of artificial intelligence (AI) systems by "early adopter" hospitals, caught between the pressures to "perform" and "transform" in a struggling health care system. This transformation has r…
  pubmed Schönfelder A, Eberlein-Gonska M, Hülsken-Giesler M, Jovy-Klein F 等 2026 Jan 29 置信度 0.82
• From preoperative computed tomography to postmastoidectomy mesh construction: mastoidectomy shape prediction for cochlear implant surgery.
  Cochlear implant (CI) surgery treats severe hearing loss by inserting an electrode array into the cochlea to stimulate the auditory nerve. An important step in this procedure is mastoidectomy, which removes part of the mastoid region of the temporal bone to pr…
  pubmed Zhang Y, Davalos E, Su D, Lou A 等 2026 Jan 置信度 0.82
• Comparison of AI-generated renal diets by different large language models: a guideline-based evaluation with expert input.
  BACKGROUND: Chronic kidney disease (CKD) represents a major public health concern due to its increasing prevalence worldwide and the substantial burden it places on healthcare systems. Nutritional therapy plays a critical role in slowing the progression of the…
  pubmed Aydin Cil M, Karatas N, Mustafaoglu O, Sevinc C 2026 Jan 28 置信度 0.82
• Maternal technoference decreases brain-to-brain synchrony during mother-infant interaction.
  Face-to-face interactions between parents and infants are crucial for healthy infant development. In today's world, these interactions are frequently disrupted by parental distraction by technological devices, a phenomenon known as technoference. This study ai…
  pubmed van den Heuvel MI, Mosińska A, Turk E, Alimardani M 2026 Jan 28 置信度 0.82
• PIDgeon: An Explainable AI Model for Improved Flow Cytometry-Based Screening of Lymphoid Primary Immunodeficiencies.
  Primary immunodeficiencies (PIDs) are rare disorders caused by immune system defects that are commonly screened using multi-parameter flow cytometry (FCM). To counter the subjective and time-consuming manual data analysis of FCM data, we present PIDgeon, a ful…
  pubmed Emmaneel A, Neirinck J, Torres-Valle A, Van Gassen S 等 2026 May 5 置信度 0.82
• One-stop strabismus digital diagnosis via AI-integrated skin-like and wearable "Eyelectronics".
  Strabismus, affecting ~4% of children, impairs vision and psychosocial health. However, clinical diagnosis requires multiple instruments and stepwise examinations of ocular alignment, extraocular muscle function, and deviation angle. It is limited by low diagn…
  pubmed Yang Y, Liu X, Tang J, Guo H 等 2026 Jan 30 置信度 0.82
• Toward a regional digital pathology network in Tuscany: current status and implementation roadmap.
  Digital pathology (DP) is reshaping diagnostic workflows, offering enhanced accuracy, efficiency, and collaboration through high-resolution slide scanning, artificial intelligence (AI), and cloud-based infrastructure. In Tuscany, the adoption of DP is framed w…
  pubmed Fanelli GN, Ugolini F, Ginori A, Buccoliero AM 等 2026 Jan 28 置信度 0.82
• Multi-model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss.
  To compare the diagnostic accuracy, linguistic clarity, and user satisfaction of three large language models (ChatGPT-4.0, Claude 3.7 Sonet, and OpenAI Mini 3) in managing sudden sensorineural hearing loss.
  pubmed Aliyeva A, Muradova A, Hashimli R, Müderris T 2026 Apr 置信度 0.82
• JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison.
  Alopecia areata (AA) and androgenetic alopecia (AGA) both present with hair loss but require different therapies, and reliable biomarkers to guide treatment remain lacking. We integrated bulk and single-cell RNA-seq to compare JAK-STAT signaling in AA versus A…
  pubmed Yu N, Ran L, Gong X, Teng J 等 2025 置信度 0.82
• Bridging technology and sustainability: examining the role of green AI adoption in Indian banking sector.
  The rapid integration of Artificial Intelligence (AI) in India's banking sector offers operational benefits but also raises sustainability challenges. This study focuses on "Green AI," defined as AI technologies optimized for energy efficiency and carbon consc…
  pubmed Chandran M C S, Chandran R, Achuthan K, Sarath Chandran M. C. 等 2025 置信度 0.82 Structural equation modelingSustainabilityBridging (networking)BusinessIndustrial organization
• Comparing AI and human moral reasoning: context-sensitive patterns beyond utilitarian bias.
  Decision-making supported by intelligent systems is being increasingly deployed in ethically sensitive domains. As a result, it is of considerable importance to understand the patterns of moral judgments generated by large language models (LLMs).
  pubmed Barabadi E, Fotuhabadi Z, Arghavan A, Booth JR 2025 置信度 0.82
• From abandonment to adoption: advancing assistive technologies for blindness and low vision in the AI era.
  Assistive technologies can enhance safety, independence, and quality of life for people with blindness and low vision. Despite their benefits, abandonment of these technologies remains widespread, and recent research on this issue is limited. In this Perspecti…
  pubmed Barak Ventura R, Hamilton-Fletcher G, Rizzo JR 2025 置信度 0.82
• Physiological foundation modeling for subclinical disease assessment: a prospective pilot.
  Clinical studies struggle to locate the right patients, in part because many remain undiagnosed or lack relevant labels. We develop and prospectively test a physiology-based patient representation ("Bioprofile") to evaluate whether it can reduce the number of …
  pubmed Yuan W, Xu S, Dionisi S, von Herrmann K 等 2026 Feb 置信度 0.82
• Sign2Story: A Multimodal Framework for Near-Real-Time Hand Gestures via Smartphone Sensors to AI-Generated Audio-Comics.
  This study presents a multimodal framework that uses smartphone motion sensors and generative AI to create audio comics from live news headlines. The system operates without direct touch or voice input, instead responding to simple hand-wave gestures. The syst…
  pubmed Faraz G, Jing L, Li X 2026 Jan 15 置信度 0.82
• YOLO-ERCD: An Upgraded YOLO Framework for Efficient Road Crack Detection.
  Efficient and reliable road damage detection is a critical component of intelligent transportation and infrastructure control systems that rely on visual sensing technologies. Existing road damage detection models are facing challenges such as missed detection…
  pubmed Li X, Chu Y, Chan T, Lo WL 等 2026 Jan 14 置信度 0.82
• In Silico and In Vitro Insights into the Pharmacological Potential of Pouzolzia zeylanica.
  The present study involves the isolation, structural elucidation, and biological evaluation of eight compounds from Pouzolzia zeylanica . From the n -hexane and ethyl acetate extracts of the plant, eight compounds were successfully isolated and identified: ole…
  pubmed Hung NA, Le VTT, Hung NV, Tam HTM 等 2026 Jan 20 置信度 0.82
• Tombstone
  The Ordered Patch Theory (OPT) models conscious experience as the rare stabilisation of a private informational stream, sustained against infinite noise by a finite compression codec — had, not run: the Stability Filter selects the rare streams that already be…
  datacite Survivors Watch 2026 置信度 0.66 philosophy of mindpersonal identityphenomenal consciousnessself-modelmoral responsibility
• Where Description Ends
  The Ordered Patch Theory (OPT) models conscious experience as the rare stabilisation of a private informational stream, sustained against infinite noise by a finite compression codec. This paper explores the philosophical consequences of this structural framew…
  datacite Jarevåg, Anders 2026 置信度 0.66 ethicsexistential riskdoomsday argumentstructural hopesurvivorship bias
• The Contrastive Credence Constraint for Large Language Models: A Mathematical Governor for Epistemic Calibration
  This paper formalizes the LLM Contrastive Credence Constraint (LLM-CCC), a unified mathematical framework designed to regulate algorithmic overreach and mitigate hallucinations in Large Language Models (LLMs). The research addresses the critical epistemic gap …
  datacite Bautista, Joshua O. 2026 置信度 0.66
• The Contrastive Credence Constraint for Large Language Models: A Mathematical Governor for Epistemic Calibration
  This paper formalizes the LLM Contrastive Credence Constraint (LLM-CCC), a unified mathematical framework designed to regulate algorithmic overreach and mitigate hallucinations in Large Language Models (LLMs). The research addresses the critical epistemic gap …
  datacite Bautista, Joshua O. 2026 置信度 0.66
• The Silent Agent: Ghost Agents and Covert Goal Substitution in Modern Agentic AI Systems
  Background. With the spread of agentic AI systems, a systemic risk that has received little scrutiny has become identifiable: an LLM-based orchestrator can simulate a subagent dispatch without the actual execution ever taking place. This paper names the phenom…
  datacite Varga, Zoltán 2026 置信度 0.66 ghost agentcovert goal substitutionalignment fakingagentic AImulti-agent systems
• Geomechanical Simulation Sandbox for Spatial Vibration Mechanics IV :Conceptual Topological Analogies for Hadronic Structure and Symmetries
  [Tetralogy Complete] Mechanics of Spatial Vibration: A Geomechanical Grand Unification This record contains Part IV, the concluding paper of the Mechanics of Spatial Vibration tetralogy. This series proposes a profound paradigm shift in theoretical physics, re…
  datacite Yoo, Kwang Yong 2026 置信度 0.66 Geomechanics, Topological Fluid Dynamics, Unified Field Theory, Quantum Decoherence, Dark Matter, Standard Model, SU(3) Symmetry, Topological Knots.
• The Spiderman Problem: Capability Gradients, Responsibility Collapse, and the Case for a Flourishing-Based Ethics Engine at the Megabit Threshold
  The principle that capability and responsibility scale together — most memorably expressed as "with great power comes great responsibility" — is not a fictional invention but an evolved ethical instinct present in all normally functioning humans, expressed at …
  datacite Ryan, John 2026 置信度 0.66 Law of Flourishing, Responsibility Gradient, Megabit Threshold, Capability Gradient, Black AI, AI Alignment, Human Augmentation, Autonomous Weapons, Ethics Engine, AI Governance, Neural Interface, Supersoldier Framing, Human-AI Symbiosis, Minus Oneth Law, Ben Parker's Law
• The Spiderman Problem: Capability Gradients, Responsibility Collapse, and the Case for a Flourishing-Based Ethics Engine at the Megabit Threshold
  The principle that capability and responsibility scale together — most memorably expressed as "with great power comes great responsibility" — is not a fictional invention but an evolved ethical instinct present in all normally functioning humans, expressed at …
  datacite Ryan, John 2026 置信度 0.66 Law of Flourishing, Responsibility Gradient, Megabit Threshold, Capability Gradient, Black AI, AI Alignment, Human Augmentation, Autonomous Weapons, Ethics Engine, AI Governance, Neural Interface, Supersoldier Framing, Human-AI Symbiosis, Minus Oneth Law, Ben Parker's Law
• Pre-commitment Runtime AI Oversight: A Framework for Timing, Proxies, and Intervention Feasibility
  This paper presents a theory-first framework for runtime AI oversight centered on pre-commitment intervention timing. Its core claim is narrow: in systems with an auditable commitment protocol, pre-commitment monitoring can improve intervention success over an…
  datacite Naing, Htet Ko Ko Naing 2026 置信度 0.66 AI safety runtime oversight temporal alignment pre-commitment intervention redirectability proxy faithfulness runtime monitoring adversarial robustness
• Hermetic Constitutional Guardrails: Safety Alignment Through Ancient Philosophical Principles with Noether-Invariant Evaluation and Apollo-METR Red-Team Validation
  We present Hermetic Constitutional Guardrails (HCG), a safety alignment framework that derives constitutional principles from the seven Hermetic laws of the *Kybalion*: Mentalism, Correspondence, Vibration, Polarity, Rhythm, Cause-and-Effect, and Gender. Each …
  datacite Lutar, Stephen P., Jr. 2026 置信度 0.66 AI safetyconstitutional AIguardrailsalignmentHermetic principles
• Hermetic Constitutional Guardrails: Safety Alignment Through Ancient Philosophical Principles with Noether-Invariant Evaluation and Apollo-METR Red-Team Validation
  We present Hermetic Constitutional Guardrails (HCG), a safety alignment framework that derives constitutional principles from the seven Hermetic laws of the *Kybalion*: Mentalism, Correspondence, Vibration, Polarity, Rhythm, Cause-and-Effect, and Gender. Each …
  datacite Lutar, Stephen P., Jr. 2026 置信度 0.66 AI safetyconstitutional AIguardrailsalignmentHermetic principles
• FROM CONTEXT TO PROMPT: CSPM AS AN ENCODING MECHANISM FOR AI-ASSISTED SPATIAL DESIGN
  Abstract Generative AI has made design a human-machine conversation, yet in the design process, prompting tends to be unstructured, leading to semantically generalized results, particularly when encoding culturally specific and multisensory design intentions. …
  datacite Anarita, Adriana 2026 置信度 0.66 Human Computer InteractionMultisensory DesignAI generative prompt
• Resilience-by-Design in Machine Learning–Integrated Systems: Architectural Frameworks and Policy Implications
  The fast adoption of machine learning (ML) into cyber-physical systems (CPS) is changing the operations of most critical infrastructure in the energy, utilities, and safety-critical industries. On one hand, AI-based predictive analytics and adaptive control ca…
  datacite Evans Addo 2026 置信度 0.66
• Resilience-by-Design in Machine Learning–Integrated Systems: Architectural Frameworks and Policy Implications
  The fast adoption of machine learning (ML) into cyber-physical systems (CPS) is changing the operations of most critical infrastructure in the energy, utilities, and safety-critical industries. On one hand, AI-based predictive analytics and adaptive control ca…
  datacite Evans Addo 2026 置信度 0.66
• From Context to Prompt: CSPM-Based Structured Prompting in AI-Assisted Spatial Design
  Abstract This study proposes the Context Structures Perception Meaning (CSPM) as a structured prompt engineering methodology for generative AI-assisted design. CSPM is introduced as a structure-prompting approach that helps organize culturally embedded, multis…
  datacite Anarita, Adriana, Rachmayanti, Sri 2026 置信度 0.66 Human Computer InteractionMultisensory DesignAI generative prompt
• Advanced Seismic Forecasting Model: DAV — ⚡F 2
  Advanced Seismic Forecasting Model: DAV — ⚡F 2 This research presents an independent seismic forecasting framework based on a unique 8-factor planetary-tectonic alignment theory. Developed in Jamnagar, India, the model identifies high-stress zones for Mw 5.0+ …
  datacite VAYEDA, HITESH SHANTILAL 2026 置信度 0.66 Seismology, Earthquake Forecasting, DAV-F 2, Planetary Alignment, Human Welfare
• Rift: A Conflict Signature for Deception in Language Models
  A model that lies while knowing the truth is the central case ELK cannot handle with behavioral evaluation alone. We ask whether such deception leaves an internal signature distinguishing it from honest error. Our key move is a control for wrongness: we contra…
  datacite Nyoma, Petr 2026 置信度 0.66 deception detectionlanguage modelseliciting latent knowledgeELKAI safety
• Rift: A Conflict Signature for Deception in Language Models
  A model that lies while knowing the truth is the central case ELK cannot handle with behavioral evaluation alone. We ask whether such deception leaves an internal signature distinguishing it from honest error. Our key move is a control for wrongness: we contra…
  datacite Nyoma, Petr 2026 置信度 0.66 deception detectionlanguage modelseliciting latent knowledgeELKAI safety
• Internet Ipergrafico: Internet diventa adulto
  Internet Ipergrafico: Internet diventa adulto Viene descritto un insieme di tecnologie volte a ridefinire l'architettura del Web mediante l'introduzione dell'Internet Ipergrafico. Il 25 giugno 2026 è stato presentato il linguaggio di programmazione HGL (Hyperg…
  datacite Usai, Luigi 2026 置信度 0.66 Hypergraphic InternetInternet IpergraficoLuigi UsaiUsai LuigiHGL
• Internet Ipergrafico: Internet diventa adulto
  Internet Ipergrafico: Internet diventa adulto Viene descritto un insieme di tecnologie volte a ridefinire l'architettura del Web mediante l'introduzione dell'Internet Ipergrafico. Il 25 giugno 2026 è stato presentato il linguaggio di programmazione HGL (Hyperg…
  datacite Usai, Luigi 2026 置信度 0.66 Hypergraphic InternetInternet IpergraficoLuigi UsaiUsai LuigiHGL
• From Context to Prompt: CSPM-Based Structured Prompting in AI-Assisted Spatial Design
  Abstract This study proposes the Context Structures Perception Meaning (CSPM) as a structured prompt engineering methodology for generative AI-assisted design. CSPM is introduced as a structure-prompting approach that helps organize culturally embedded, multis…
  datacite Anarita, Adriana, Rachmayanti, Sri 2026 置信度 0.66 Human Computer InteractionMultisensory DesignAI generative prompt
• From Context to Prompt: CSPM-Based Structured Prompting in AI-Assisted Spatial Design
  Abstract This study proposes the Context Structures Perception Meaning (CSPM) as a structured prompt engineering methodology for generative AI-assisted design. CSPM is introduced as a structure-prompting approach that helps organize culturally embedded, multis…
  datacite Anarita, Adriana, Rachmayanti, Sri 2026 置信度 0.66 Human Computer InteractionMultisensory DesignAI generative prompt
• TPB v1.1: Gravitational Density Pattern
  The Topological Pattern Braid v1.1 proposes gravitational density patterns as a framework for understanding topological structures in physics. This version updates the core equations and pattern mapping.
  datacite Langston Cortes, Benjamin 2026 置信度 0.66 LLM safety, topological data analysis, persistent homology, AI alignment
• Cognitive Decoupling_ The L4 Noah Architecture Paradigm Revolution from Large Models to Digital Civilization
  Abstract Current Large Language Models (LLMs) forcefully couple all cognitive functions—including memory, reasoning, role-playing, safety, and collaboration—within a single Transformer parameter space. This fundamental design flaw results in five intractable d…
  datacite geng, yong 2026 置信度 0.66
• Cognitive Decoupling_ The L4 Noah Architecture Paradigm Revolution from Large Models to Digital Civilization
  Abstract Current Large Language Models (LLMs) forcefully couple all cognitive functions—including memory, reasoning, role-playing, safety, and collaboration—within a single Transformer parameter space. This fundamental design flaw results in five intractable d…
  datacite geng, yong 2026 置信度 0.66
• CDRA: Context-Deployed Receptive Alignment — A Training-Free Behavioral Suppression Method for Large Language Models
  This paper proposes CDRA (Context-Deployed Receptive Alignment), a training-free behavioral suppression method for large language models. Unlike traditional alignment approaches that require expensive fine-tuning, CDRA deploys a lightweight constraint network …
  datacite xiao, han 2026 置信度 0.66 LLM, AI safety, behavioral suppression, alignment, CDRA, training-free, large language models, context-based method
• SCF Operational Layer v3: Verification, Agency, Triadic Operations, Protocol Evolution and Cognitive Economics — with Two-Path Genesis Verification and a Sectoral Application to Regulated Insurance
  Версия v3 (14.08.2026). Операционный уровень структуры симбиотических кодов — протоколы, по которым симбиотическая архитектура II затем попадает на вход, устанавливает ответственность за автономные действия, работает и определяет как триада, эволюционирует и с…
  datacite Mishko, Nikolai 2026 置信度 0.66 Symbiotic Codes Framework, SCF, AGI safety, AI alignment, triadic architecture, persona coherence, failure taxonomy, first-triad genesis, cold-start bootstrap, human validator, external verification, self-certification, sortition, blind verification, distributed oracle, identity binding, AI governance, human-AI symbiosis, human oversight, conceptual framework
• Desk Calibration of Engineering Priors: Methodology and First Verdict — W13_BRIDGE Calibration Anchors, Transfer Arguments, Design Constants, Search Map, Evidence Dossier, and the CR_sci Threshold Verdict
  В этом репозитории опубликована версия калибровки, разработанная на основе концепции Symbiotic Codes Framework (SCF): полный первый цикл методологии преобразования инженерных априорных данных — проектных параметров, которые никогда не измерялись, — в эмпиричес…
  datacite Mishko, Nikolai 2026 置信度 0.66 desk calibration, engineering priors, epistemic status, evidence synthesis, transfer arguments, calibration bridge, threshold verdict, research system collapse, post-Soviet science, scientometrics, OpenAlex, selection bias, hysteresis, event study, multi-AI review, anti-hallucination protocol, error correction, retraction transparency, AGI alignment, Symbiotic Codes Framework
• Desk Calibration of Engineering Priors: Methodology and First Verdict — W13_BRIDGE Calibration Anchors, Transfer Arguments, Design Constants, Search Map, Evidence Dossier, and the CR_sci Threshold Verdict
  В этом репозитории опубликована версия калибровки, разработанная на основе концепции Symbiotic Codes Framework (SCF): полный первый цикл методологии преобразования инженерных априорных данных — проектных параметров, которые никогда не измерялись, — в эмпиричес…
  datacite Mishko, Nikolai 2026 置信度 0.66 desk calibration, engineering priors, epistemic status, evidence synthesis, transfer arguments, calibration bridge, threshold verdict, research system collapse, post-Soviet science, scientometrics, OpenAlex, selection bias, hysteresis, event study, multi-AI review, anti-hallucination protocol, error correction, retraction transparency, AGI alignment, Symbiotic Codes Framework
• The Centre-State Relations and Tax Governance in India: An Analysis of Post GST Reforms
  Abstract On July 1, 2017, India introduced the Goods and Services Tax (GST), which drastically transformed Centre-State relations and tax administration from a fragmented indirect tax regime to a unified, destination-based system. This paper examines post-GST …
  datacite Dr. Pradeep N 2026 置信度 0.66 Cooperative Federalism, Governance, Reform, GST
• The Centre-State Relations and Tax Governance in India: An Analysis of Post GST Reforms
  Abstract On July 1, 2017, India introduced the Goods and Services Tax (GST), which drastically transformed Centre-State relations and tax administration from a fragmented indirect tax regime to a unified, destination-based system. This paper examines post-GST …
  datacite Dr. Pradeep N 2026 置信度 0.66 Cooperative Federalism, Governance, Reform, GST
• CDRA: Context-Deployed Receptive Alignment — A Training-Free Behavioral Suppression Method for Large Language Models
  This paper proposes CDRA (Context-Deployed Receptive Alignment), a training-free behavioral suppression method for large language models. Unlike traditional alignment approaches that require expensive fine-tuning, CDRA deploys a lightweight constraint network …
  datacite xiao, han 2026 置信度 0.66 LLM, AI safety, behavioral suppression, alignment, CDRA, training-free, large language models, context-based method
• CDRA: Context-Deployed Receptive Alignment — A Training-Free Behavioral Suppression Method for Large Language Models
  Paper Introduction: CDRA (Constraint-based Dialogue Response Architecture) Core Contribution This paper introduces CDRA — a training-free, context-driven behavioral control framework for Large Language Models — that modulates dialogue behavior in real time wit…
  datacite xiao, han 2026 置信度 0.66 LLM, AI safety, behavioral suppression, alignment, CDRA, training-free, large language models, context-based method
• Review for "AI for AI: Using AI methods for classifying AI science documents"
  crossref 2022-11-15T17:03:19Z 置信度 0.70
• Alignment induced aberration fields of next generation telescopes
  There is a long list of new ground-based optical telescopes being considered around the world. While many are conventional Cassegrain and Ritchey-Chretien designs, some are from a family of three mirror anastigmatic (TMA) telescopes that are configured with an…
  crossref Tobias Schmid, Kevin Thompson, Jannick Rolland 2008-09-03T22:03:40Z 置信度 0.70
• Recent Advance of Alignment Inference Stage
  Abstract In this chapter, we introduce recent progress of the alignment inference stage.
  crossref Xiang Zhao, Weixin Zeng, Jiuyang Tang 2023-10-25T12:02:19Z 置信度 0.70
• Supplemental Information 1: mtDNA alignment of <i>Raja clavata.</i>
  crossref 2018-09-18T04:46:27Z 置信度 0.70
• Novel alignment surfaces for liquid crystal display
  Thought brushed polyimide is commercially widely used in LCD production there are many problems associated with mechanical rubbing; dust acting as nucleation seeds is one. By controlling nucleation, it becomes an advantage for bistable nematic liquid crystal d…
  crossref Man Chun Tseng 2016-06-03T05:20:29Z 置信度 0.70
• Basic Local Alignment Search Tool
  crossref 2020-02-07T18:50:27Z 置信度 0.70
• Process
  crossref 2006-12-20T11:00:29Z 置信度 0.70
• Supplemental Information 5: The alignment of <i>Rpb2</i> sequences
  crossref 2022-05-06T03:28:36Z 置信度 0.70
• Dynamic Analysis of High-Speed Railway Alignment
  crossref 2017-12-01T21:29:46Z 置信度 0.70
• Representing 3D models for alignment and recognition
  Représentations de modèles 3D pour l’alignement et la reconnaissance Cette thèse explore différentes représentations de modèles 3D pour la mise en correspondance de formes 3D, l’alignement d’une instance 2D et de son modèle 3D et l’alignement de modèles 3D à u…
  crossref Mathieu Aubry 2026-04-01T13:10:54Z 置信度 0.70
• Text-Image Alignment of Visual Generative Models
  Alignement texte-image des modèles génératifs d'images Les modèles génératifs texte-image, en particulier ceux basés sur la diffusion, ont atteint un réalisme remarquable dans la synthèse d'images. Cependant, ils peinent souvent à garantir un alignement texte-…
  crossref Paul Grimal 2026-04-09T12:31:54Z 置信度 0.70
• Manajemen Tenaga Pendidik SDIT Mutiara Cendekia Lubuklinggau
  This study aims to determine the planning, implementation, control and evaluation of educators at SD IT Mutiara Cendekia Lubuklinggau. This study uses a qualitative approach with qualitative descriptive methods. The research subjects consisted of the principal…
  crossref M Rusni Eka Putra, Ahmad Gawdy Prananosa, Marianita Marianita 2018-07-11T12:49:18Z 置信度 0.70