AI Agent 生态 · 全部实体（第 65 / 100 页）

本页收录第 6401–6500 条，共 10000 条 · 返回 AI Agent 生态 首页

• The Autonomy Budget: A Portfolio-Level Framework for Governing Delegated Machine Authority in Regulated Enterprises
  Existing AI governance frameworks, including ISO/IEC 42001:2023 and the EU AI Act (Regulation (EU) 2024/1689), govern individual AI systems at the point of deployment. Neither provides a mechanism to measure or constrain the aggregate decision-making authority…
  datacite Hossain, M Maruf 2026 置信度 0.66 AI governanceautonomous decision-makingmachine authorityenterprise risk managementADAE scoring
• The Autonomy Budget: A Portfolio-Level Framework for Governing Delegated Machine Authority in Regulated Enterprises
  Existing AI governance frameworks, including ISO/IEC 42001:2023 and the EU AI Act (Regulation (EU) 2024/1689), govern individual AI systems at the point of deployment. Neither provides a mechanism to measure or constrain the aggregate decision-making authority…
  datacite Hossain, M Maruf 2026 置信度 0.66 AI governanceautonomous decision-makingmachine authorityenterprise risk managementADAE scoring
• Conceptometry: Categorial Foundations and Formal Methodology for Measuring Conceptual Density in Semantic Systems
  Abstract En This paper presents the formal foundations of Conceptometry, a novel computational disci-pline designed to systematically quantify conceptual density (DCp) and informative efficiency (EI)in natural language texts and formal strategic decisions. We …
  datacite Usai, Luigi 2026 置信度 0.66 ConcettometriaConceptometryLuigi UsaiUsai LuigiNLP
• Conceptometry: Categorial Foundations and Formal Methodology for Measuring Conceptual Density in Semantic Systems
  Abstract En This paper presents the formal foundations of Conceptometry, a novel computational disci-pline designed to systematically quantify conceptual density (DCp) and informative efficiency (EI)in natural language texts and formal strategic decisions. We …
  datacite Usai, Luigi 2026 置信度 0.66 ConcettometriaConceptometryLuigi UsaiUsai LuigiNLP
• FORTIFYING FIREWALLS AGAINST EVOLVING DDOS ATTACKS WITH CONTRASTIVE AI AND LLMS
  Distributed Denial of Service (DDoS) attacks continue to threaten network availability and challenge firewall decision logic. Existing firewall-centric defences often fail to detect low-rate, multi-vector, and carpet-bombing DDoS patterns while meeting inline …
  datacite SRINIVASARAO DHARMIREDDI , DESIDI NARSIMHA REDDY , MRS. MODUGULA SIVAJYOTHI , MARISETTI KALYAN RAMUDU , ELANGOVAN MUNIYANDY , UDAY KIRAN KASI 2026 置信度 0.66 DDoS Detection, Contrastive Learning, Large Language Models (LLM), Firewall, Hybrid Model.
• FORTIFYING FIREWALLS AGAINST EVOLVING DDOS ATTACKS WITH CONTRASTIVE AI AND LLMS
  Distributed Denial of Service (DDoS) attacks continue to threaten network availability and challenge firewall decision logic. Existing firewall-centric defences often fail to detect low-rate, multi-vector, and carpet-bombing DDoS patterns while meeting inline …
  datacite SRINIVASARAO DHARMIREDDI , DESIDI NARSIMHA REDDY , MRS. MODUGULA SIVAJYOTHI , MARISETTI KALYAN RAMUDU , ELANGOVAN MUNIYANDY , UDAY KIRAN KASI 2026 置信度 0.66 DDoS Detection, Contrastive Learning, Large Language Models (LLM), Firewall, Hybrid Model.
• Dalla Decapitazione Rituale alla Ceramica Figurata: L'Origine del Kantharos Etrusco a Testa Umana nel Quadro del Paradigma Sardo-Corso-Atlantideo (PSCA)
  Autore: Luigi UsaiORCID: 0009-0003-3001-717XAffiliazione: Ricercatore IndipendenteLuogo di redazione: Quartucciu (CA), SardegnaData: 10 Giugno 2026 Predico che scavi mirati in Gallura riveleranno skull cups con decorazioni a doppia voluta databili al Bronzo Fi…
  datacite Usai, Luigi 2026 置信度 0.66
• Population-Weighted Standardized Tobacco Policies (e-cigarette taxes, indoor air laws, flavored tobacco sales restrictions, cigar taxes) and Tobacco Specialty Retailers in the USA, by state/county and time
  Any publication or other public output using these data, including output produced with an AI agent, must cite the associated peer-reviewed article. The article citation is provided in an example format and may be rendered in the style required by the publicat…
  datacite Michael Pesko 2026 置信度 0.66 health policysmokingsecondhand vaportobaccovaping
• Population-Weighted Standardized Tobacco Policies (e-cigarette taxes, indoor air laws, flavored tobacco sales restrictions, cigar taxes) and Tobacco Specialty Retailers in the USA, by state/county and time
  Any publication or other public output using these data, including output produced with an AI agent, must cite the associated peer-reviewed article. The article citation is provided in an example format and may be rendered in the style required by the publicat…
  datacite Michael Pesko 2026 置信度 0.66 health policysmokingsecondhand vaportobaccovaping
• Dalla Decapitazione Rituale alla Ceramica Figurata: L'Origine del Kantharos Etrusco a Testa Umana nel Quadro del Paradigma Sardo-Corso-Atlantideo (PSCA)
  Autore: Luigi UsaiORCID: 0009-0003-3001-717XAffiliazione: Ricercatore IndipendenteLuogo di redazione: Quartucciu (CA), SardegnaData: 10 Giugno 2026 Predico che scavi mirati in Gallura riveleranno skull cups con decorazioni a doppia voluta databili al Bronzo Fi…
  datacite Usai, Luigi 2026 置信度 0.66
• Hearing Healthcare Policy Data, by state and time
  Any publication or other public output using these data, including output produced with an AI agent, must cite the associated peer-reviewed article. The article citation is provided in an example format and may be rendered in the style required by the publicat…
  datacite Michael Pesko 2026 置信度 0.66 insurancehealth policyOther:hearing healthhearing aidsOther:legal epidemiology
• Hearing Healthcare Policy Data, by state and time
  Any publication or other public output using these data, including output produced with an AI agent, must cite the associated peer-reviewed article. The article citation is provided in an example format and may be rendered in the style required by the publicat…
  datacite Michael Pesko 2026 置信度 0.66 insurancehealth policyOther:hearing healthhearing aidsOther:legal epidemiology
• MELVcore: A Thermodynamic Governance Kernel for Multi-Agent AI Systems
  Version 4.5.6 — Preprint Update (June 2026)This version constitutes the full post-Blueprint canonical preprint of the MELVcore framework, incorporating all mathematical developments confirmed through the MAIES Assessment Series (May 2026), the v3.3–v3.6 ABM ga…
  datacite Evans, Laurence Wilfred 2026 置信度 0.66 AI governancemulti-agent cooperationMELVcorecooperation thresholdLotkaVolterra
• Unearth Heritage Foundry Notice of Forensic Indebtedness & Threshold Breach: Meta Platforms, Inc. (April 2026)
  Abstract: This deposit constitutes a formal Notice of Forensic Indebtedness and legal threshold breach against Meta Platforms, Inc., issued by the Unearth Heritage Foundry. It establishes a permanently anchored evidentiary record of systematic, unauthorized in…
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 ForensicsDigital ArchaeologyUnearth Heritage Foundrymeta-externalagentLLaMA-3
• Data and analysis scripts: A multi-agent AI system for supporting teachers — MCQ quality evaluation
  Anonymized data and reproducible analysis scripts for the article "A multi-agent AI system for supporting teachers: quality evaluation of Teacher-, AI-, and Teacher-AI created multiple-choice questions" (Menze, Radović & Seidel, 2026). Nineteen teachers at…
  datacite Dennis Menze, Slavisa Radović, Niels Seidel 2026 置信度 0.66 automation biaseducational assessmentgenerative AIhuman-AI collaborationitem-writing flaws
• Topological Invariance of Signaling Obstructions in the INSR-PI3K-Akt Pathway
  Title: Topological Invariance of Signaling Obstructions in the INSR-PI3K-Akt Pathway: A Quantum Circuit Simulation Description: This research investigates the insulin signaling pathway (INSR-PI3K-Akt) by applying Sheaf Theory within a quantum circuit simulatio…
  datacite Usai, Luigi 2026 置信度 0.66 Teoria dei FasciSheaf TheoryCircuiti QuantisticiQuantum CircuitsPathway dell'Insulina
• Writability to Predictability: Structural Principles for Building-Scale AI Software Engineering
  Writability — whether an agent can produce a working artifact to a specification — is largely solved at house scale. Predictability — whether an agent system, holding specification and process fixed, converges on the same artifact up to bounded equivalence at …
  datacite Jongmyoung, Ok 2026 置信度 0.66 Software engineeringArtificial intelligenceComputer science
• Cross-Species Aging Knowledge Integration into Agentic AI Platform Uncovers Conserved Mechanisms
  Abstract Aging research has been advanced largely through the use of model organisms, where short lifespans and genetic tractability enable the systematic discovery of molecular pathways influencing longevity and age-related decline. However, knowledge about a…
  preprints 2026 置信度 0.74
• Deep learning prediction of chemo-immunotherapy response using tumor perfusion ultrasound images
  Abstract Tumor heterogeneity poses a significant challenge for predicting responses to cancer therapy, highlighting the need for the development of biomarkers to guide personalized treatment. Contrast-enhanced ultrasound (CEUS) imaging is an established method…
  preprints 2026 置信度 0.74
• Advancing Conversational AI: Investigating AI-to-AI Voice Dialogue Through Hybrid Active Inference (HAI) and Adaptive Reasoning
  Abstract The emergence of AI-to-AI communication in advanced dialogue systems presents a new frontier in artificial intelligence research. This paper explores the application of Hybrid Active Inference (HAI) within AI-to-AI interactions, integrating Efficient …
  preprints 2025 置信度 0.74
• Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening: Higher FIT Test Adoption Among Spanish-Speaking Patients
  Background Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic whites. While artificial intelligence (AI) shows promise in healthcare delivery, concerns exist that AI-based interv…
  preprints 2024 置信度 0.74
• Adverse Events Associated with Busulfan in HSCT Pre-Transplant Conditioning: A Retrospective Pharmacovigilance Study of the FAERS Database
  Abstract Background: Busulfan had been approved as a pre-transplant conditioning agent for allogeneic hematopoietic stem cell transplantation (HSCT) in chronic myeloid leukemia. However, the real-world data on its safety in a large sample population is impreci…
  preprints 2025 置信度 0.74
• Adrenal Insufficiency in ASEAN: Barriers and Variations in Diagnosis and Management
  Abstract Background Adrenal insufficiency (AI) is a potentially life-threatening condition that requires timely diagnosis and lifelong glucocorticoid replacement. While extensively studied in Western populations, limited data exist on the management of AI acro…
  preprints 2025 置信度 0.74
• Interference Timing of GenAI Sales Agents in Virtual Reality
  Abstract This study investigates how interference timing of artificial sales agents influences user experience in embodied virtual commerce environments. Specifically, we examine how different timing strategies affect consumer perceptions for generative artifi…
  preprints 2024 置信度 0.74
• AI-Enabled Conversational Agent Improves Treatment Outcomes and Patient Engagement in 1:1 Cognitive-Behavioral Therapy (CBT): A Real-World Observational Study
  The importance of supporting mental well-being is increasingly critical, but patient engagement in psychological talking therapy remains a challenge. To address this, we developed an AI-enabled therapy support tool designed to offer therapeutic support during …
  preprints Johanna Habicht, Jessica McFadyen, Ross Harper, Tobias U Hauser 等 2024 置信度 0.74
• Inferential planning in the frontal cortex
  How the brain plans and maintains sequences of future actions remains a central question in systems neuroscience. Recent studies in the frontal cortex have revealed that multiple elements of a sequence are represented simultaneously in separable neural subspac…
  preprints 2025 置信度 0.74
• Comparing Discriminatory Behavior Against AI and Humans
  Abstract Although discrimination is typically believed to occur from well-defined categories like ethnicity, disability, and sex, studies have found that discrimination persists in minimal conditions lacking such categories. Participants have been found to pre…
  preprints 2024 置信度 0.74
• Perspectives: Two Approaches in Computational Social Sciences
  Big data-driven machine learning and artificial intelligence (ML/AI) is not all computational social sciences (CSS) have. Agent-based modeling (ABM) or multi-agent system (MAS) is another fundamentally different but equally useful approach in CSS. In fact, the…
  preprints 2024 置信度 0.74
• Application of antagonistic fungi to suppress the Meloidogyne incognita and promote growth of Vegetables
  Abstract The root-knot nematode (RKNs) Meloidogyne incognita , are a significant biotic factor that negatively impacted both the yield and quality of vegetables. The nematophagous fungus, Purpureocillium lilacinum , is widely regarded as a highly effective bio…
  preprints 2024 置信度 0.74
• Advancing Hydrogel-Based 3D Cell Culture Systems: Histological Image Analysis and AI-Driven Filament Characterization
  Background: Machine learning is used to analyze images by training algorithms on data to recognize patterns and identify objects, with applications in various fields, such as medicine, security, and automation. Meanwhile, histological cross-sections, whether l…
  preprints 2024 置信度 0.74
• Knowledge, Attitude, and Practice of Vasoactive Agents Infusions : Development and Psychometric Properties of a Questionnaire with Chinese Clinical Nurses
  Background Inconsistencies with guidelines or standards regarding nurses’ practice of vasoactive agent infusion have been documented. Adequate knowledge and positive attitudes are critical for compliance. However, there are currently no validated tools specifi…
  preprints 2024 置信度 0.74
• The Impact of Positive Reinforcement on AI Decision-Making Processes
  Reinforcement learning (RL) is one of the core frameworks in Artificial Intelligence (AI) used for decision-making tasks. In particular, positive reinforcement rewards desirable actions, which helps an AI agent optimize its policy by maximizing the cumulative …
  preprints 2024 置信度 0.74
• Autonomous Microscopy Experiments through Large Language Model Agents
  Abstract The emergence of large language models (LLMs) has accelerated the development of self-driving laboratories (SDLs) for materials research. Despite their transformative potential, current SDL implementations rely on rigid, predefined protocols that limi…
  preprints 2024 置信度 0.74
• AI-enabled conversational agent increases engagement with cognitive-behavioral therapy: A randomized controlled trial
  Abstract Timely support after referral to mental healthcare is crucial, yet patients often face prolonged wait times without intervention. Digital mental health interventions offer scalable solutions, but many struggle to achieve acceptable patient engagement.…
  preprints Jessica McFadyen, Johanna Habicht, Larisa-Maria Dina, Ross Harper 等 2024 置信度 0.74
• Leveraging <i>Drosophila</i> Models to Explore AI-generated Synthetic Peptide’s Potential in Boosting Honeybee Health and Resilience
  ABSTRACT The integration of artificial intelligence (AI) and machine learning (ML) in peptide design has revolutionized the development of antimicrobial peptides (AMPs), which are essential components of innate immunity. In this study, we identified a novel sy…
  preprints 2024 置信度 0.74
• Open Benchmarking for Cell-Based Multiscale Models: Lessons from a Community Initiative
  The emergence of virtual human twins (VHT) in biomedical research has sparked interest in multiscale in silico modelling frameworks, particularly in their application bridging cellular to tissue levels. Among the diverse array of multiscale modelling tools, of…
  preprints 2025 置信度 0.74
• Using LLMs as AI Agents to Identify False Positive Alerts in Security Operation Center
  Abstract This paper addresses the challenges and solutions related to identifying false positive (FP) alerts in Security Information and Event Management (SIEM) systems, which often overwhelm security operators. To tackle this issue, we propose a novel approac…
  preprints 2024 置信度 0.74
• AI-Driven Configuration Management for IP Network Devices Using XML and Machine Learning
  The increasing complexity of IP network infrastructures necessitates efficient and adaptive configuration management solutions. This paper presents an AI-driven framework that integrates machine learning and reinforcement learning techniques to enhance the man…
  preprints 2024 置信度 0.74
• Effect of Selenium, Copper and Manganese Nanocomposites in Arabinogalactan Matrix on Potato Colonization by Phytopathogens <em>Clavibacter sepedonicus</em> and <em>Pectobacterium carotovorum</em>
  The effect of chemically synthesized nanocomposites (NCs) of selenium (Se/AG NC), copper oxide (Cu/AG NC) and manganese hydroxide (Mn/AG NC) based on the natural polymer arabinogalactan (AG) on the processes of growth, development and colonization of potato pl…
  preprints 2024 置信度 0.74
• Agent Centric Operating System – A Comprehensive Review and Outlook for Operating System
  The operating system (OS) is the backbone of modern computing, providing essential services and managing resources for computer hardware and software. This review paper offers an in-depth analysis of operating systems’ evolution, current state, and prospects. …
  preprints 2024 置信度 0.74
• Leveraging Large Language Models to Enhance an Intelligent Agent with Multifaceted Capabilities
  This project aims to create a virtual assistant with AI integration to improve Siemens Energy&#039;s internal processes. Using cloud-based technologies, microservice architecture, and large language models (LLMs), the project seeks to create a reliable, effect…
  preprints 2024 置信度 0.74
• The Role of Intentional Stance Beliefs and Agent Appearance on Gaze Use during Joint Attention
  Interactions with artificial agents (e.g. robots and avatars) are becoming increasingly commonplace. While research has established that user beliefs, or an artificial agent’s appearance, can shape social outcomes with artificial agents, little is known about …
  preprints 2024 置信度 0.74
• Unmet Needs in Acute Hepatic Porphyria Diagnosis: A Comparative Big Data Analysis of an AI-based Human-in-the-Loop Screening Versus Standard of Care
  Summary Background Acute Hepatic Porphyria (AHP) is a rare genetic disease characterized by unpredictable life-threatening attacks. There is no reliable biochemical screening test for patients outside of an attack and diagnosis is delayed on average by 15 (!) …
  preprints 2025 置信度 0.74
• Development and validation of a radiomics deep learning signature from MRI-guided transrectal ultrasound combined with ultrasound imaging parameters for prostate cancer prediction
  Abstract Objective This study aimed to develop and validate an integrated radiomics deep learning signature combining MRI-guided transrectal ultrasound (TRUS) and contrast-enhanced ultrasound (CEUS) parameters for improved prediction of prostate cancer (PCa). …
  preprints 2025 置信度 0.74
• Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks
  Large language models (LLMs) excel in natural language generation but often confidently produce incorrect responses, especially in tasks like mathematical reasoning. Chain-of-thought prompting, self-verification, and multi-agent debate are among the strategies…
  preprints 2024 置信度 0.74
• Risk Factors and Potential Treatments for Fatigue in Patients with Advanced CKD: A Narrative Review
  Despite the high burden of fatigue in patients with advanced chronic kidney disease (CKD) stage 4-5 including dialysis, little is known about risk factors and treatments for fatigue. This paper provides an overview of measurement, associated risk factors and a…
  preprints 2024 置信度 0.74
• The Role of Mentalising and Agent Appearance on Gaze Use during Joint Attention
  Interactions with artificial agents (e.g. robots and avatars) are becoming increasinglycommonplace. While research has established that user beliefs, or an artificial agent'sappearance, can shape social outcomes with artificial agents, little is known about ho…
  preprints 2024 置信度 0.74
• Learning Beyond Boundaries: Addressing the Transformative and Challenging Impacts of Artificial Intelligence on Education
  The rapid advancement of artificial intelligence (AI) brought about significant opportunities and challenges in educational environment. It is disputable whether the application of AI to education is beneficial or not regarding human learning and teaching. Thi…
  preprints 2024 置信度 0.74
• MC-Net: A Multi-Path Contextual Reasoning Framework for Multimodal Conversations
  Multimodal Conversation is a sophisticated vision-language task where an AI agent must engage in meaningful dialogues grounded in visual content. This requires a deep understanding of not only the presented question but also the dialog history and the associat…
  preprints 2024 置信度 0.74
• Cell phenotypes in the biomedical literature: a systematic analysis and text mining corpus
  The variety of cell phenotypes identified by single-cell technologies is rapidly expanding, yet this knowledge is dispersed across the scientific literature and incompletely represented in structured resources. We present the CellLink corpus, a manually annota…
  preprints 2026 置信度 0.74
• Flight Model: New Explorations into the Fundamental Principles of Intelligence and Consciousness
  Constructing the fundamental principles of intelligence and consciousness has become a significant scientific challenge. The literature indicates that current theories of intelligence and consciousness have yet to provide comprehensive answers regarding the un…
  preprints 2024 置信度 0.74
• Towards a computational model of responsibility judgments in sequential human-AI collaboration
  When a human and an AI agent collaborate to complete a task and something goes wrong, who is responsible? Prior work has developed theories to describe how people assign responsibility to individuals in teams. However, there has been little work studying the c…
  preprints 2024 置信度 0.74
• Building a literature knowledge base towards transparent biomedical AI
  As artificial intelligence (AI) continues to advance and scale up in biomedical research, concerns about AI’s trustworthiness and transparency have grown. There is a critical need to systematically bring accurate and relevant biomedical knowledge into AI appli…
  preprints 2024 置信度 0.74
• Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction
  Accurately modeling biomolecular interactions is a central challenge in modern biology. While recent advances, such as AlphaFold3 and Boltz-1, have substantially improved our ability to predict biomolecular complex structures, these models still fall short in …
  preprints 2025 置信度 0.74
• Combining Multi-Agent Systems and ArtificialIntelligence of Things: Technical Challenges andGains
  Abstract A Multiagent System (MAS) refers to a network of agents collaborating to achieve same objective. This system comprises numerous individual programs or hardware components (agents) that are simpler to construct and manage. Additionally, these agents ca…
  preprints 2024 置信度 0.74
• Episodic Question Answering for Cognitive Agents
  Abstract As the demand for artificial intelligence robots and cognitive agents increases, it becomes essential for these agents to comprehend previous encounters and respond to inquiries based on their past experiences. In essence, they need to maintain their …
  preprints 2024 置信度 0.74
• Lost in Translation: Addressing the ecological validity of agent-based models of communication emergence with insights from an empirical study
  The agent-based approach to modeling language emergence recently attracts a lot of interest from the researchers from the AI community, who aim at recreating human-like communication skills in artificial systems. Importantly, such modeling also provides a usef…
  preprints 2024 置信度 0.74
• The Wound Environment Agent-based Model (WEABM): a digital twin platform for characterization and complex therapeutic discovery for volumetric muscle loss
  Volumetric Muscle Loss (VML) injuries are characterized by significant loss of muscle mass, usually due to trauma or surgical resection, often with a residual open wound in clinical settings and subsequent loss of limb function due to the replacement of the lo…
  preprints 2024 置信度 0.74
• Oxidative Stress Susceptibility, Complement Dysregulation, and Metabolic Reprogramming in CFH Y402H Patient-Derived Choriocapillaris Endothelial Cells
  Abstract Age-related macular degeneration (AMD) is a leading cause of central vision loss. Immunofluorescence and gene expression studies in human donor eyes have shown that choriocapillaris endothelial cells (CECs) are lost before retinal pigment epithelium (…
  preprints 2026 置信度 0.74
• Cacalol Acetate as Anticancer Agent: Anti-proliferative, Pro-apoptotic, Cytostatic and Anti-migratory Effects
  Cacalol (C), a sesquiterpene isolated from Psacalium decompositum, has demonstrated anti-inflammatory and antioxidant activities. Its cytotoxic, antiproliferative, and pro-apoptotic effects have been previously shown in an in vitro breast cancer model. A deriv…
  preprints 2024 置信度 0.74
• Application of Deep Reinforcement Learning in Heterogeneous Sensor Networks
  Abstract With the wide and rapid development of wireless sensor networks (WSNs), current WSNs have become more and more complex with lager capacity, which need emerging technologies to support. For example, artificial intelligence (AI) technology is required t…
  preprints 2024 置信度 0.74
• PokerOWL: A Multi-Agent Poker Environment for Implementing and Evaluating Open-World Learning
  Abstract In complex task environments in both nature and human society, structural violations of expectation (VoE) occur with non-trivialfrequency. Agents that are designed to operate in such environments must be capable of open-world learning (OWL), definedas…
  preprints 2024 置信度 0.74
• GPT-4 based AI agents – the new expert system for detection of antimicrobial resistance mechanisms?
  Background EUCAST recommends a two-step process for beta-lactamases in Gram-negative bacteria. Screening with minimal inhibitory concentrations (MICs) or inhibition zone diameters for potential extended spectrum beta-lactamase (ESBL), plasmid-mediated AmpC bet…
  preprints 2024 置信度 0.74
• Towards LLMCI - Multimodal AI for LLM-Vision UI Operation
  Abstract Human-computer interaction (HCI) has evolved significantly, yet it still largely depends on visual communication through screens and manual input devices. While this paradigm is likely to remain dominant for the foreseeable future, this research sugge…
  preprints 2024 置信度 0.74
• Caution with AI deception: AI could serve as the scapegoat of Human!
  In the era of widespread artificial intelligence (AI), it is crucial to understand the distinct roles of AI and humans in deception. This study employs an innovative empirical approach to investigate how deceived responses extend from human deception to artifi…
  preprints 2024 置信度 0.74
• Saxagliptin for Disorders of Consciousness: AI, Retrospective Observations, and Preclinical Data
  Abstract Despite advancements in the neuroscience of consciousness, no new effective medications for disorders of consciousness (DOC), such as coma or vegetative state, have been discovered in over a decade. Repurposing existing FDA-approved drugs for DOC is c…
  preprints 2024 置信度 0.74
• REVISITING TUBERCULOSIS (TB) DIAGNOSIS: THE PROSPECT OF URINE LIPOARABINOMANNAN (LAM) ASSAY AS A DIAGNOSTIC TOOL IN PEOPLE LIVING WITH HIV
  ABSTRACT Background Tuberculosis (TB), since its discovery has become a global health burden, continuously spreading across the nations of the earth with increased mortality. Its effect on human immunodeficiency virus (HIV) progression and immune cell deterior…
  preprints 2024 置信度 0.74
• Optimizing long-term prevention of cardiovascular disease with reinforcement learning
  The prevention of chronic disease is a long-term combat with continual fine-tuning to adapt to the course of disease. Without comprehensive insights, prescriptions may prioritize short-term gains but deviate from trajectories toward long-term survival. Here we…
  preprints 2024 置信度 0.74
• A Data-Intelligence-Intensive Bioinformatics Copilot System for Large-scale Omics Researches and Scientific Insights
  Advancements in high-throughput sequencing technologies and artificial intelligence offer unprecedented opportunities for groundbreaking discoveries in bioinformatics research. However, the challenges of exponential growth of omics data and the rapid developme…
  preprints 2024 置信度 0.74
• Optimization Strategies for Atari Game Environments: Integrating Snake Optimization Algorithm and Energy Valley Optimization in Reinforcement Learning Models
  This study presents a groundbreaking approach in the field of gaming AI, focusing on the classic game Pacman through the lens of DRL integrated with advanced optimization techniques. The core of the research involves adapting DRL models for Pacman , utilizing …
  preprints 2024 置信度 0.74
• OS Agents: A Survey on MLLM-Based Agents for General Computing Devices Use
  The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multimodal) large language models ((M)LLMs), this dream is closer to reality, as (M)LLM-based Agents …
  preprints 2024 置信度 0.74
• Dancing robots: Aesthetic engagement is shaped by stimulus and knowledge cues to human animacy
  An increasing presence of artificial intelligence (AI) and robots in the realm of art is moulding the aesthetic identity of the new-age consumer of art. Various questions arise with this development: do cues to the humanness of the origin of an artwork or arti…
  preprints 2024 置信度 0.74
• Inferring Time-Varying Internal Models of Agents Through Dynamic Structure Learning
  Reinforcement learning (RL) models usually assume a stationary internal model structure of agents, which consists of fixed learning rules and environment representations. However, this assumption does not allow accounting for real problem solving by individual…
  preprints 2024 置信度 0.74
• Compassionate Care with Autonomous Humanoid Robots in Future Healthcare Delivery: A Multisensory Simulation of Next-Generation Models
  This paper investigates the integration of artificial intelligence (AI) and robotics in healthcare, highlighting the potential of autonomous humanoid robots to replicate compassionate care while centering on ethical and safety concerns related to reliability, …
  preprints 2024 置信度 0.74
• Combining AI and human support in mental health: a digital intervention with comparable effectiveness to human-delivered care
  Background Escalating global mental health demand exceeds existing clinical capacity. Scalable digital solutions will be essential to expand access to high-quality mental healthcare for everyone. This study evaluated a structured, evidence-based digital progra…
  preprints 2024 置信度 0.74
• Deciphering autoantibody landscape of systemic sclerosis through systems-based approach: insights from a B-cell depletion clinical trial
  Systemic sclerosis (SSc) is a progressive fibrotic disorder with a high mortality rate, characterized by extensive autoantibody production. Despite recent advancements, effective treatments remain limited. Rituximab (RTX), a B-cell depleting agent, has shown p…
  preprints 2024 置信度 0.74
• Extending Fraud Detection in Students Exams Using AI
  The Distributed eLearning Center (DeLC) is a portal, providing extensive support in the day-to-day work when it comes to e-learning content – it helps students and teachers organize their learning materials, fill the gaps in knowledge (for students) and educat…
  preprints 2024 置信度 0.74
• A Deep Learning Approach to Find Optimal Path in Underwater Networks Using ns3-ai
  Abstract Undersea communication has become increasingly common due to its varied applications including a collection of oceanographic information, environment monitoring, seismic and pollution monitoring, and many more [1]. The environment undersea is highly u…
  preprints 2024 置信度 0.74
• Dynamic, personalized dose selection platform, CURATE.AI, in patients with solid tumors: case series and pilot feasibility trial
  Abstract In oncology, the conventional reliance on maximum tolerated doses (MTD) strategy for chemotherapy may not optimize treatment outcomes for individual patients. Artificial intelligence (AI) holds promise to support treatment personalization strategies. …
  preprints 2024 置信度 0.74
• Stress-dependent growth of breast cancer models arises from a cellular volume checkpoint
  Mechanoresponsive cell proliferation is a feature of growing tumours, despite the suppression of many other regulatory checkpoints in cancer, but the underlying cell-scale mechanisms driving this behaviour have not yet been established. In this study we propos…
  preprints 2025 置信度 0.74
• Repurposed antiviral medicines for potential pandemic viruses: A horizon scan
  Background Viruses such as Ebola, Marburg, influenza, mpox, MERS-CoV, SARS-CoV, and SARS-CoV-2 pose a significant risk for future pandemics. Developing novel antiviral medicines can be time-consuming and resource intensive. Repurposing existing medicines with …
  preprints 2025 置信度 0.74
• Effect of AI Gender on Trust and Grounding
  Artificial intelligence (AI) agents are widely used in the retail and distribution industry, often in-corporating human-like elements such as possessing names and genders. This paper examines the influence of AI agent gender and brand concepts on trust and gro…
  preprints 2024 置信度 0.74
• No innocent bystanders: pertussis vaccination epitomizes evolutionary parallelisms between <i>Bordetella parapertussis</i> and <i>B. pertussis</i>
  ABSTRACT Pathogens adapting to the human host and to vaccination-induced immunity may follow parallel evolutionary paths. Bordetella parapertussis ( Bpp ) contributes significantly to the burden of whooping cough (pertussis), shares vaccine antigens with Borde…
  preprints 2024 置信度 0.74
• Cognitive Mapping and Episodic Memory Emerge From Simple Associative Learning Rules
  Abstract Episodic memory enables animals to map contexts and environmental features in space and time but is underused in artificial intelligence (AI). Here we show how simple associative learning rules can be expanded to basic episodic memory in AI. We augmen…
  preprints 2024 置信度 0.74
• Dogs as Sentinels for Emergent Pathogens: Serological Evidence in a Preserved Area in Brazil
  For many tick-borne organisms, dogs may be utilized as sentinel hosts to estimate the risk of human infection. The detection of antibodies in these animals indicates the circulation of pathogens in each location for a set period of time. The standard protocol …
  preprints 2024 置信度 0.74
• Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs
  The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it is not clear whether the decisions of an al…
  preprints 2024 置信度 0.74
• CRISPR-GPT for Agentic Automation of Gene Editing Experiments
  Performing effective gene-editing experiments requires a deep understanding of both the CRISPR technology and the biological system involved. Meanwhile, despite their versatility and promise, Large Language Models (LLMs) often lack domain-specific knowledge an…
  preprints 2024 置信度 0.74
• Artificial Morality: Differences in Responses to Moral Choices by Human and Artificial Agents
  A consensus on moral "rights" and "wrongs" is essential for ensuring societal functioning. Moral decision-making has been investigated for decades focusing on human agents. More recently, research has started into how humans evaluate artificial moral agents. W…
  preprints 2024 置信度 0.74
• A Multilingual Intelligent System for Objectionable Text Recognition Utilizing an Explainable AI-Supported Deep Learning Model on Bengali, Bengali Transliteration, and English Embedded Text
  We live in a global society that has benefited greatly from the rise of social media, which has become a potent agent of social change. However, toxic use of text or images may damage online communities and even spark intergroup confrontations. A precise appro…
  preprints 2024 置信度 0.74
• Collective flow of circadian clock information in honeybee colonies
  Honeybee colonies exhibit a collective circadian rhythm reflecting the periodic dynamics of the environment. Thousands of workers, including those engaged in in-hive tasks, must synchronize in various processes that may be rhythmic, such as nectar inflows, or …
  preprints 2024 置信度 0.74
• Shannon Holes, Black Holes and Knowledge: Can a Machine become a “Self-Aware" Teammate?
  We develop new theory from a broad case-study approach to explore a better understanding of what constitutes knowledge and its value as identifiable to human-machine teams. From past research, this trail of exploration will lead to these initial questions: Wha…
  preprints 2024 置信度 0.74
• Assessing the Performance of Plugin-Integrated ChatGPT-4 in the German Medical Board Examination: An Experimental Study on the Advancements and Limitations of Modern AI Modelling Approaches
  Background: The Generative Pre-trained Transformer (GPT-4) is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in November 2022, the use of LLMs has seen a significant spike in interest, a…
  preprints 2024 置信度 0.74
• Towards an Autism Spectrum Disorder (ASD) care agent for social interaction
  Abstract Autism Spectrum Disorder (ASD) is a neurological disorder that impacts a subject's ability to be involved in a social interaction. A large body of work exists on the detection of ASD using machine learning (ML) and deep learning (DL) algorithms. Furth…
  preprints 2024 置信度 0.74
• DNA Microarray and Bioinformatic Analysis Reveals the Potential of Whale Oil in Enhancing Hair Growth in a C57BL/6 Mice Model
  Much research has been conducted to determine how hair regeneration is regulated, as this could provide therapeutic, cosmetic, and even psychological interventions for hair loss. The current study focused on the hair growth effect and effective utilization of …
  preprints 2024 置信度 0.74
• Secure Intelligent Agent for Bahrain's e-Government Call Center
  The National Contact Center (NCC) in the Kingdom of Bahrain serves as a pivotal platform for government clients to voice inquiries, requests, suggestions, and complaints regarding various government services. This paper introduces a secure platform for an Inte…
  preprints 2024 置信度 0.74
• Differential benefit of adjuvant everolimus according to endocrine therapy backbone in the randomized UNIRAD trial
  ABSTRACT Background The randomized, double-blind UNIRAD trial evaluating the addition of 2 years of everolimus to endocrine therapy in patients with high-risk, early luminal breast cancer failed to demonstrate a benefit. We report the subgroup analyses. Patien…
  preprints 2024 置信度 0.74
• Genetically diverse Mycobacterium tuberculosis isolates manipulate inflammasome activation and IL-1β secretion independently of macrophage metabolic rewiring
  The natural diversity of Mycobacterium tuberculosis is gaining relevance in dictating the outcome of tuberculosis (TB). We previously revealed a link between TB severity and M. tuberculosis -driven evasion of the macrophage cytosolic surveillance systems, with…
  preprints 2024 置信度 0.74
• MR Molecular Imaging of EGF Receptor-Overexpressing Tumours with Peptide-Targeted Gadolinium-Based Contrast Agents
  Epidermal growth factor receptor (EGFR) is used as a biomarker for molecular imaging of cancer. Therefore, we synthesized two new Gd-DO3A-peptide complexes with an EGFR-binding peptide (NH2-CMYIEALDKYAC-COOH; EBP). To evaluate the effects of agents on targetin…
  preprints 2024 置信度 0.74
• WITHDRAWN: ChatGptTweets Analyses Based On AI
  Abstract Sentiment analysis plays a crucial role in understanding public opinions and attitudes. In this study, we address the sentiment analysis of ChatGPT tweets, leveraging a diverse set of machine learning models. The dataset comprises user-generated tweet…
  preprints 2024 置信度 0.74
• Modulating Pseudomonas aeruginosa virulence by the anti-cholesterol drugs Atorvastatin and Rosuvastatin
  Abstract Background Study of the Pseudomonas aeruginosa resistance has become an urgent topic since antibiotic resistance has escalated exceedingly. Even with the intense interest, development of new antibiotics and other therapeutic strategies for P. aerugino…
  preprints 2024 置信度 0.74