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• CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation
  Accurate nutrient estimation from unstructured recipe text is an important yet challenging problem in dietary monitoring, due to ambiguous ingredient terminology and highly variable quantity expressions. We systematically evaluate models spanning a wide range …
  crossref Wei-Chun Chen, Yu-Xuan Chen, I-Fang Chung, Ying-Jia Lin 2026-04-28T15:41:01Z 置信度 0.83 cs.CLcs.AI
• "Abuse Risks are Often Inherent to Product Features": Exploring AI Vendors' Bug Bounty and Responsible Disclosure Policies
  As vendors adopt AI technologies, security researchers are working to uncover and fix related vulnerabilities, which is important given AI systems handle sensitive data and critical functions. This process relies on vendors receiving and rewarding AI vulnerabi…
  arxiv Yangheran Piao, Jingjie Li, Daniel W. Woods 2025-09-07T16:44:28Z 置信度 0.83 cs.CR
• Parallax: Why AI Agents That Think Must Never Act
  Autonomous AI agents are rapidly transitioning from experimental tools to operational infrastructure, with projections that 80% of enterprise applications will embed AI copilots by the end of 2026. As agents gain the ability to execute real-world actions (read…
  arxiv Joel Fokou 2026-04-14T17:20:48Z 置信度 0.83 cs.CRcs.AI
• Abstraction Induces the Brain Alignment of Language and Speech Models
  Research has repeatedly demonstrated that intermediate hidden states extracted from large language models and speech audio models predict measured brain response to natural language stimuli. Yet, very little is known about the representation properties that en…
  arxiv Emily Cheng, Aditya R. Vaidya, Richard Antonello 2026-02-03T23:35:29Z 置信度 0.83 cs.CL
• Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
  Large language models (LLMs) have demonstrated impressive capabilities in utilizing external tools. In practice, however, LLMs are often exposed to tools that are irrelevant to the user's query, in which case the desired behavior is to refrain from invocations…
  crossref Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang 等 2026-04-13T11:23:36Z 置信度 0.83 cs.CLcs.AI
• GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigation
  Language-goal aerial navigation requires UAVs to localize targets in the complex outdoors, such as urban blocks based on textual instructions. The indoor methods are often hard to scale to urban scenes due to ambiguous objects, limited visual field, and spatia…
  crossref Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu 等 2025-04-13T14:12:42Z 置信度 0.83 cs.RO
• CAP: Controllable Alignment Prompting for Unlearning in LLMs
  Large language models (LLMs) trained on unfiltered corpora inherently risk retaining sensitive information, necessitating selective knowledge unlearning for regulatory compliance and ethical safety. However, existing parameter-modifying methods face fundamenta…
  crossref Zhaokun Wang, Jinyu Guo, Jingwen Pu, Hongli Pu 等 2026-04-23T03:42:41Z 置信度 0.83 cs.LGcs.AI
• Intelligent Front-End Personalization: AI-Driven UI Adaptation
  Front-end personalization has traditionally relied on static designs or rule-based adaptations, which fail to fully capture user behavior patterns. This paper presents an AI driven approach for dynamic front-end personalization, where UI layouts, content, and …
  crossref Mona Rajhans 2026-02-03T06:10:10Z 置信度 0.85 cs.HCcs.AIcs.SE
• Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI
  Agentic AI systems increasingly act through tool-augmented, multi-step workflows whose failures (unsafe tool use, unauthorised actions, social harm) carry deployment-level consequences. Evaluation practice remains fragmented across isolated benchmark slices, a…
  arxiv Jinhu Qi, Yifan Li, Minghao Zhao, Wentao Zhang 等 2026-03-16T08:51:33Z 置信度 0.83 cs.CLcs.DB
• How Do Software Professionals Evaluate AI-Generated Code? (Registered Report)
  Recent advances in generative AI tools have significantly changed how software professionals write, evaluate, and interact with code. Generative AI tools such as GitHub Copilot, ChatGPT, and Claude are increasingly being integrated into everyday workflows. Des…
  arxiv Samuli Määttä, Hera Arif, Burak Turhan, Paul Ralph 等 2026-07-10T14:01:00Z 置信度 0.79 cs.SE
• CoCoA: Context-Conditional Cultural Alignment for Large Language Models
  Large Language Models (LLMs) often favor Western-associated entities across cultural contexts. Conventional debiasing methods aim for uniform neutrality, but cultural bias mitigation demands context-conditional behavior, preferring culturally appropriate entit…
  arxiv Kyungdon Lee, Wei Xu, Alan Ritter, Dong-Ho Lee 等 2026-08-30T01:04:36Z 置信度 0.83 cs.CL
• Position: Embodied AI Requires a Privacy-Utility Trade-off
  Embodied AI (EAI) systems are rapidly transitioning from simulations into real-world domestic and other sensitive environments. However, recent EAI solutions have largely demonstrated advancements within isolated stages such as instruction, perception, plannin…
  arxiv Xiaoliang Fan, Jiarui Chen, Zhuodong Liu, Ziqi Yang 等 2026-05-06T15:16:05Z 置信度 0.79 cs.AIcs.RO
• A study of GenAI usage by Design Students Analysis of Survey Results and Journals of AI practices at the Politecnico di Milano in 2025/2026
  The results of a survey on the use of GenAI by the design students of the Politecnico di Milano raises major questions around the role of AI in the Design Process. A domain specific set of questions alongside the more general purpose probes about GenAI usage, …
  arxiv Stefana Broadbent 2026-07-19T06:25:07Z 置信度 0.74 cs.CY
• Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference Optimization
  Alignment of large language models (LLMs) via SFT and RLHF/DPO typically ignores the global geometry of the representation space, relying instead on local token likelihoods or scalar scores. We view generation as tracing a semantic trajectory in hidden space a…
  crossref Yurui Pan, Ke Xu, Bo Peng 2026-05-08T03:07:31Z 置信度 0.83 cs.CL
• AI-Powered Mental Health Chatbots in Africa: A Systematic Review and Culturally Adaptive Framework
  Mental health challenges in Africa remain under-addressed due to inadequate infrastructure, stigma, and a chronic shortage of professionals. Artificial Intelligence (AI)-powered chatbots are emerging globally as low-cost, accessible tools that can offer psycho…
  crossref Matshepo Lebese, Pitso Tsibolane 2026-05-17T13:44:56Z 置信度 0.83 cs.AI
• Detecting Hidden ML Training With Zero-Overhead Telemetry
  Hardware-enabled monitoring of GPU workloads underpins many proposals for AI compute governance, but if developers can defeat monitoring mechanisms, such schemes are unworkable. We evaluate the adversarial robustness of GPU workload classification using only z…
  arxiv Robi Rahman, Sabiha Tajdari 2026-06-17T16:39:40Z 置信度 0.79 cs.LG
• A Survey on AI for 6G: Challenges and Opportunities
  As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in shaping the future of sixth-generation (6G) networks. By combining AI and Machin…
  crossref Constantina Chatzieleftheriou, Eirini Liotou 2026-03-30T08:22:50Z 置信度 0.83 cs.NIcs.AI
• Information-Theoretic Limits on Exact Subgraph Alignment Problem
  The graph alignment problem aims to identify the vertex correspondence between two correlated graphs. Most existing studies focus on the scenario in which the two graphs share the same vertex set. However, in many real-world applications, such as computer visi…
  arxiv Chun Hei Michael Shiu, Hei Victor Cheng, Lele Wang 2026-01-08T17:59:49Z 置信度 0.83 cs.IT
• The sesquicentennial of the prime number $2^{127} - 1$
  The year 2026 marks the 150th anniversary of a remarkable achievement in mathematics: in 1876, the French mathematician Édouard Lucas showed that the 39-digit number $M_{127} := 2^{127} -1$ is prime. This stood for 75 years as the largest known prime, and it r…
  crossref Matthew Baker 2026-08-05T18:22:13Z 置信度 0.79 math.NTmath.HO
• To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance
  Multimodal learning often relies on aligning representations across modalities to enable effective information integration, an approach traditionally assumed to be universally beneficial. However, prior research has primarily taken an observational approach, e…
  crossref Wanlong Fang, Tianle Zhang, Alvin Chan 2025-11-15T09:15:53Z 置信度 0.83 cs.LGcs.MM
• Man, Machine, and Masterpiece: Artistic Ownership in the AI Era
  The integration of AI-driven systems in creative work has sparked debates among artists and legal communities about notions of ownership. Yet there remains little consensus on how ownership should be defined and attributed when human and AI contributions are i…
  crossref Sofi Gjing Jovanovska, Kuntal Ghosh, Daniel Muhu Njenga, Ahmed Mufassir 等 2026-07-16T14:12:53Z 置信度 0.83 cs.AI
• Human Control Is the Anchor, Not the Answer: Early Divergence of Oversight in Agentic AI Communities
  Oversight for agentic AI is often discussed as a single goal ("human control"), yet early adoption may produce role-specific expectations. We present a comparative analysis of two newly active Reddit communities in Jan--Feb 2026 that reflect different socio-te…
  arxiv Hanjing Shi, Dominic DiFranzo 2026-02-10T00:10:20Z 置信度 0.85 cs.AIcs.CYcs.HC
• ARISMA: Guidelines for AI- and LLM-Assisted Systematic Reviews, Scoping Reviews, and Mapping Studies
  Systematic reviews, scoping reviews, mapping studies, and related evidence syntheses are increasingly difficult to conduct with fully manual workflows as search volumes, update cycles, and synthesis requirements continue to expand. At the same time, artificial…
  arxiv Mahyar Tourchi Moghaddam, Mina Alipour 2026-08-25T18:40:06Z 置信度 0.83 cs.SEcs.AI
• Representation Learning with Semantic-aware Instance and Sparse Token Alignments
  Medical contrastive vision-language pre-training (VLP) has demonstrated significant potential in improving performance on downstream tasks. Traditional approaches typically employ contrastive learning, treating paired image-report samples as positives and unpa…
  crossref Phuoc-Nguyen Bui, Toan Duc Nguyen, Junghyun Bum, Duc-Tai Le 等 2026-01-13T02:55:48Z 置信度 0.83 cs.CV
• HackerSignal: A Large-Scale Multi-Source Dataset Linking Hacker Community Discourse to the CVE Vulnerability Lifecycle
  We introduce HackerSignal, a benchmark for temporal out-of-distribution cyber threat intelligence (CTI) and cross-source CVE linkage. HackerSignal aggregates 7.45 million exact-deduplicated documents from 64 public forum/source identifiers spanning eight sourc…
  arxiv Benjamin M. Ampel, Sagar Samtani 2026-05-04T21:03:42Z 置信度 0.83 cs.CR
• Black Hole Explorer Mission Development in Japan
  The Black Hole Explorer (BHEX) is a next-generation space very-long-baseline interferometry (VLBI) mission concept that will extend existing ground-based millimeter/submillimeter VLBI arrays to space. The Japanese astronomical community has contributed to BHEX…
  arxiv Kazunori Akiyama, Mareki Honma, Akihiro Doi, Shoko Koyama 等 2026-08-01T22:57:20Z 置信度 0.74 astro-ph.IMastro-ph.HE
• Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers
  This position paper explores how Agentic AI and Model Context Protocol (MCP) can support power-grid studies in a Transmission System Operator (TSO) context. We focus on integrating Large Language Models with numerical simulation tools, structured workflows, an…
  arxiv Jérôme Picault, Clément Goubet 2026-07-14T20:58:21Z 置信度 0.85 cs.AIcs.CLcs.MAcs.SE
• From Human-Level AI Tales to AI Leveling Human Scales
  Comparing AI models to "human level" is often misleading when benchmark scores are incommensurate or human baselines are drawn from a narrow population. To address this, we propose a framework that calibrates items against the 'world population' and report per…
  arxiv Peter Romero, Fernando Martínez-Plumed, Zachary R. Tidler, Matthieu Téhénan 等 2026-02-21T17:27:20Z 置信度 0.79 cs.LG
• Agentic AI: User Empowerment or Foreclosure?
  Agentic AI promises systems that can act on users' behalf, from filtering content to negotiating prices to selecting services. Whether it will empower users is an open question, and one that depends on more than the technology. We conduct a comparative case an…
  crossref David Gamba, Daniel M. Romero, Grant Schoenebeck 2026-08-06T18:49:13Z 置信度 0.81 cs.CYcs.AIcs.HC
• A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign
  We propose PRECEDE, a precedent-guided co-scientist for side-effect-aware drug redesign that revises a parent compound to mitigate a specified side effect while preserving therapeutic function. Rather than isolated molecular generation, PRECEDE frames redesign…
  arxiv Yujin Kim, Charmgil Hong 2026-07-03T04:37:08Z 置信度 0.83 cs.LGcs.AI
• Generative Artificial Intelligence in Scientific Research: Individual Benefits, Collective Risks, and a Framework for Responsible Research with AI
  This paper examines the tension between the benefits of generative artificial intelligence (AI) for scientific research and the unresolved governance questions that accompany its rapid adoption. Drawing on an academic roundtable held at the AI for Science and …
  crossref Fulvio Castellacci, Tommaso Ciarli, Yuan Gao, Marianna Marino 等 2026-07-27T08:01:51Z 置信度 0.83 econ.GN
• "It Talks Like a Patient, But Feels Different": Co-Designing AI Standardized Patients with Medical Learners
  Standardized patients (SPs) play a central role in clinical communication training but are costly, difficult to scale, and inconsistent. Large language model (LLM) based AI standardized patients (AI-SPs) promise flexible, on-demand practice, yet learners often…
  crossref Zhiqi Gao, Guo Zhu, Huarui Luo, Dongyijie Primo Pan 等 2026-02-05T16:38:51Z 置信度 0.83 cs.HC
• An archival summary: 15 years of ALMA observations on disks and planet formation
  The Atacama Large (sub-)millimeter Array (ALMA) has been in scientific operations for almost 15 years. We celebrate this achievement by providing a summary of the ``Disks and planet formation'' scientific category, with an emphasis on the disks located in the …
  arxiv Nicolas T. Kurtovic, Lizxandra Flores-Rivera, Laura M. Perez, Miguel Vioque 等 2026-05-28T14:42:40Z 置信度 0.74 astro-ph.EP
• Generative UI as an Accessibility Bridge: Lessons from C2C E-Commerce
  Web accessibility rests on static standards and developer compliance. That model frays in platforms where content is user-generated: photos arrive blurry or off-frame, descriptions skip size and condition, and page structure shifts from listing to listing. Dra…
  arxiv Bektur Ryskeldiev 2026-04-28T10:03:14Z 置信度 0.76 cs.HCcs.AIcs.CY
• A Multi-Level Visual Analytics Approach to Artist-Era Alignment in Popular Music
  Existing computational studies of popular music primarily model aggregate trends or predict chart performance, offering limited support for interpreting artist-level alignment against historical stylistic baselines. We introduce an interactive visual analytics…
  arxiv Jiyeon Bae, Jinwook Seo 2026-03-23T06:42:41Z 置信度 0.83 cs.HC
• Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization
  Symbolic regression (SR) aims to discover mathematical expressions from data, a task traditionally tackled using Genetic Programming (GP) through combinatorial search over symbolic structures. Latent Space Optimization (LSO) methods use neural encoders to map …
  crossref Benjamin Léger, Kazem Meidani, Christian Gagné 2026-04-09T14:55:36Z 置信度 0.83 cs.NEcs.AI
• Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective
  Existing alignment methods directly use the reward model learned from user preference data to optimize an LLM policy, subject to KL regularization with respect to the base policy. This practice is suboptimal for maximizing user's utility because the KL regular…
  arxiv Haichuan Wang, Tao Lin, Lingkai Kong, Ce Li 等 2026-01-31T05:45:51Z 置信度 0.83 cs.LGcs.AI
• Multi-modal Video Representation Alignment for Robust Self-supervised Driver Distraction Detection
  Robust self-supervised learning of multi-modal video representations is critical for real-world applications such as driver distraction detection, where multiple sensors provide complementary but noisy signals. Conventional contrastive objectives, such as Info…
  arxiv David J. Lerch, Livien Majer, Zeyun Zhong, Manuel Martin 等 2026-06-01T15:01:17Z 置信度 0.83 cs.CV
• A Rust-to-Lean Verification Pipeline with AI Provers: An Experience Report
  We describe a verification pipeline that takes production Rust cryptographic code and produces machine-checked correctness proofs in Lean 4. The pipeline combines three components: symbolic extraction tools (Charon and Aeneas, or Hax) that lift Rust into Lean …
  arxiv Natalia Klaus, Juan Conejero, Palina Tolmach 2026-05-28T15:47:02Z 置信度 0.83 cs.LO
• Greening AI Inference with Accuracy and Latency-aware User Incentives
  The widespread use of AI services has raised concerns for its environmental sustainability, towards which recent studies have identified carbon emissions of AI inference as the major contributor. This paper introduces a framework for designing AI inference inc…
  crossref Vasilios A. Siris, Adamantia Stamou, George D. Stamoulis, Konstantinos Varsos 等 2026-05-26T17:19:07Z 置信度 0.79 cs.LGcs.OH
• Reimagining Legal Fact Verification with GenAI: Toward Effective Human-AI Collaboration
  Fact verification is a critical yet underexplored component of non-litigation legal practice. While existing research has examined automation in legal workflow and human-AI collaboration in high-stakes domains, little is known about how GenAI can support fact …
  crossref Sirui Han, Yuyao Zhang, Yidan Huang, Xueyan Li 等 2026-02-06T01:53:50Z 置信度 0.83 cs.HC
• MarkSweep: A No-box Removal Attack on AI-Generated Image Watermarking via Noise Intensification and Frequency-aware Denoising
  AI watermarking embeds invisible signals within images to provide provenance information and identify content as AI-generated. In this paper, we introduce MarkSweep, a novel watermark removal attack that effectively erases the embedded watermarks from AI-gener…
  crossref Jie Cao, Zelin Zhang, Qi Li, Jianbing Ni 2026-02-17T05:19:00Z 置信度 0.83 cs.CR
• Aligning Human Sense: Calibrated Distributional Reward Learning for Video Generation
  Video generation is central to AI-powered content creation. Aligning generated videos with human preferences is a key criterion for evaluating generation quality. Despite significant progress in visual quality, three key challenges remain. First, the reliabili…
  crossref Nai-Xin Zhai, Weihua Cheng, Dexu Yu, Yikai Gu 等 2026-08-16T07:50:30Z 置信度 0.83 cs.CVcs.AI
• How to increase consumer intention to use Chatbots? An empirical analysis of hedonic and utilitarian motivations on social presence and the moderating effects of fear across generations
  openalex Cong-Minh Dinh, Sung-Jun Park 2023-01-06 置信度 0.64 ChatbotModerationPsychologyService (business)Social media
• Co-infection with avian hepatitis E virus and avian leukosis virus subgroup J as the cause of an outbreak of hepatitis and liver hemorrhagic syndromes in a brown layer chicken flock in China
  Hens of a commercial Hy-line brown layer flock in China exhibited increased mortality and decreased egg production at 47 wk of age. From 47 to 57 wk, average weekly mortality increased from 0.11 to 3.0%, and egg production decreased from 10 to 30%, with a peak…
  openalex Yani Sun, Qizhong Lu, Jing-Fei Zhang, Xiaoxuan Li 等 2019-12-28 置信度 0.82 FlockVirologyBiologyOutbreakVirus
• Comparative analysis of the reactive oxygen species‐producing enzymatic activity of Arabidopsis NADPH oxidases
  Summary Reactive oxygen species ( ROS ) produced by NADPH oxidases, called respiratory burst oxidase homologs (Rbohs), play crucial roles in development as well as biotic and abiotic stress responses in plants. Arabidopsis has 10 Rboh genes, AtRbohA to AtRbohJ…
  openalex Hidetaka Kaya, Seiji Takeda, Masaki J. Kobayashi, Sachie Kimura 等 2018-12-20 置信度 0.76 Root hairArabidopsisReactive oxygen speciesNADPH oxidaseCell biology
• Impact of Artificial Intelligence and Machine Learning on Cybersecurity
  This chapter focuses on different aspects of artificial intelligence (AI), such as the transformative of AI and the relationship of cybersecurity with AI. This discussion covers the outcomes due of the integration between AI and cybersecurity. The chapter disc…
  openalex Abdulrahman Yarali 2023-06-30 置信度 0.78 Transformative learningTransparency (behavior)AccountabilityComputer scienceComputer security
• How can corporate digital responsibility ( CDR ) be measured in line with corporate social responsibility ( CSR )? A new theoretical approach in construction 4.0
  Abstract Corporate responsibility in Civil Engineering in the digital era is changing rapidly. An attempt is made to make CDR more “tangible” by assigning and defining entrepreneurial approaches. This paper investigates the relationship between CSR and CDR bas…
  openalex Bianca Christina Weber-Lewerenz, Marzia Traverso 2024-07-13 置信度 0.84 Corporate social responsibilityBusinessSocial responsibilityLine (geometry)Accounting
• Sustainable Development of AI-Based Educational Tools: Addressing Affordability and Equity between Private and Public Schools in Saudi Arabia's Early Childhood Education
  The integration of artificial intelligence (AI) in early childhood education offers major opportunities for personalized learning but also exposes equity gaps between private and public institutions. This study investigates the affordability, accessibility, an…
  openalex Khawlah Alhejii 2026-01-21 置信度 0.84 Equity (law)SubsidyGovernment (linguistics)Early childhoodSustainability
• Instruction Tuning for Large Language Models: A Survey
  This article surveys research works in the quickly advancing field of instruction tuning (IT), a crucial technique to enhance the capabilities and controllability of large language models (LLMs). Instruction tuning refers to the process of further training LLM…
  openalex Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang 等 2025-11-17 置信度 0.84 Computer scienceControllabilityField (mathematics)Process (computing)Criticism
• Effect of a single aspartate on helix stability at different positions in a neutral alanine‐based peptide
  A single aspartate residue has been placed at various positions in individual peptides for which the alanine-based reference peptide is electrically neutral, and the helix contents of the peptides have been measured by circular dichroism. The dependence of pep…
  openalex Beatrice M.P. Huyghues‐Despointes, J. Martin Scholtz, Robert L. Baldwin 1993-10-01 置信度 0.78 Helix (gastropod)ChemistryAlanineCircular dichroismPeptide
• Rehabilitation with Poststroke Motor Recovery: A Review with a Focus on Neural Plasticity
  Motor recovery after stroke is related to neural plasticity, which involves developing new neuronal interconnections, acquiring new functions, and compensating for impairment. However, neural plasticity is impaired in the stroke-affected hemisphere. Therefore,…
  openalex Naoyuki Takeuchi, Shin‐Ichi Izumi 2013-01-01 置信度 0.80 RehabilitationNeuroplasticityStroke (engine)Physical medicine and rehabilitationMedicine
• AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways
  Preeclampsia is a hypertensive disorder of pregnancy marked by angiogenic imbalance and endothelial dysfunction, driven largely by over expression of soluble fms-like tyrosine kinase-1 (sFlt-1) and up-regulation of endothelin-1 (ET-1). Targeting both VEGFR1 an…
  openalex Sümeyra Koç Sahin, Nouman Ali 2026-06-30 置信度 0.84 PharmacophoreChemistryDerivative (finance)Molecular dynamicsReceptor
• Time and Memory Trade-Offs in Shortest-Path Algorithms Across Graph Topologies: A*, Bellman–Ford, Dijkstra, AI-Augmented A* and a Neural Baseline
  This study presents a comparative evaluation of Dijkstra’s algorithm, A*, Bellman-Ford, AI-Augmented A* and a neural AI-based model for shortest-path computation across diverse graph topologies, with a focus on time efficiency and memory consumption under stan…
  openalex Nahier Aldhafferi 2025-12-10 置信度 0.84 Computer scienceHeuristicsGraphAlgorithmComputation
• Focus strategies in Chadic – the case of Tangale revisited*
  Abstract. The present article offers a detailed study of focus strategies in some Chadic languages, paying special attention to the focus system of Tangale. It discusses two dimensions of variation with respect to the realization of focus. First, there is a st…
  openalex Katharina Hartmann, Malte Zimmermann 2007-07-23 置信度 0.74 Focus (optics)SyntaxComputer scienceRealization (probability)Linguistics
• Ecological generalism drives hyperdiversity of secondary metabolite gene clusters in xylarialean endophytes
  Although secondary metabolites are typically associated with competitive or pathogenic interactions, the high bioactivity of endophytic fungi in the Xylariales, coupled with their abundance and broad host ranges spanning all lineages of land plants and lichens…
  openalex Mario Emilio Ernesto Franco, Jennifer H. Wisecaver, A. Elizabeth Arnold, Yu‐Ming Ju 等 2021-11-19 置信度 0.78 BiologyEcologySecondary metaboliteGeneBotany
• ASHP Foundation Pharmacy Forecast 2022: Strategic Planning Guidance for Pharmacy Departments in Hospitals and Health Systems
  ASHP and the ASHP Foundation (“the Foundation”) present this 10th edition of the annual Pharmacy Forecast and are pleased to disseminate it through AJHP, providing readers with easy access to the report. The ASHP Foundation Pharmacy Forecast has a long traditi…
  openalex Joseph T. DiPiro, Jannet M. Carmichael, Vivian B Johnson, Monika Daftary 等 2021-12-03 置信度 0.82 PharmacyFoundation (evidence)Strategic planningPharmacy practiceClinical pharmacy
• Domain adaptation in small-scale and heterogeneous biological datasets
  Machine-learning models are key to modern biology, yet models trained on one dataset are often not generalizable to other datasets from different cohorts or laboratories due to both technical and biological differences. Domain adaptation, a type of transfer le…
  openalex Seyedmehdi Orouji, Martin C. Liu, Tal Korem, Megan A. K. Peters 2024-12-20 置信度 0.84 Adaptation (eye)Computer scienceDomain (mathematical analysis)Domain adaptationContext (archaeology)
• AI-guided design of optoelectronic molecularly modified CH 3 NH 3 PbI 3 perovskite thin films with improved aqueous stability
  The inherent vulnerability of halide perovskite films to moisture and water exposure severely restricts their stability, posing a challenge for industrial implementation. In this study, photoelectrochemical experiments, machine learning, and first-principles c…
  openalex Lei Zhang, Youle Wang, Yinguo Zhou, Cunyu Li 2026-05-09 置信度 0.84 Perovskite (structure)Materials scienceThin filmOptoelectronicsAqueous solution
• Geometric potentials from deep learning improve prediction of CDR H3 loop structures
  MOTIVATION: Antibody structure is largely conserved, except for a complementarity-determining region featuring six variable loops. Five of these loops adopt canonical folds which can typically be predicted with existing methods, while the remaining loop (CDR H…
  openalex Jeffrey A. Ruffolo, Carlos Guerra, Sai Pooja Mahajan, Jeremias Sulam 等 2020-05-04 置信度 0.82 ResidualLoop modelingBenchmark (surveying)Protein structure predictionComputer science
• Can Artificial Intelligence Technologies Advance Environmental Sustainability? The Role of Institutional Adaptability and Skill‐Biased Technological Transformation
  ABSTRACT The ubiquitous proliferation of artificial intelligence (AI) technologies across contemporary global economic systems necessitates a comprehensive empirical examination of their environmental ramifications, particularly with respect to environmental s…
  openalex Brahim Bergougui 2025-10-22 置信度 0.80 Robustness (evolution)AdaptabilitySustainabilityTransaction costEconomics
• Authentic Learning Using Mobile Sensor Technology With Reflections on the State of Science Education in New Zealand
  Overview This report presents findings from a New Zealand Ministry of Education e-Learning Fellowship research project conducted in 2008. The author examined the use of a purpose-built mobile sensor technology (RIGEL), invented by the author, as a tool for aut…
  openalex Michael Fenton 2008-11-20 置信度 0.78 Science educationMathematics educationPedagogyPaceTechnology education
• Artificial Intelligence in the Evaluation and Intervention of Developmental Coordination Disorder: A Scoping Review of Methods, Clinical Purposes, and Future Directions
  Background: Developmental coordination Disorder (DCD) is a prevalent and persistent neurodevelopmental condition characterized by motor learning difficulties that significantly affect daily functioning and participation. Despite growing interest in artificial …
  openalex Pantelis Pergantis, Konstantinos Georgiou, Nikolaos Bardis, Charalabos Skianis 等 2026-01-23 置信度 0.84 Intervention (counseling)Systematic reviewArtificial intelligencePsychologyApplied psychology
• The Complete Arc: From the Riemann Hypothesis to AI Alignment
  Overall Assessment This is a complete, publication-ready paper. It achieves what it sets out to do: present the full arc from a principle discovered in neuroimaging (2002) to the proof of the Riemann Hypothesis (2026) to AI alignment solutions. Section-by-Sect…
  openalex Frank Morales 2026-06-28 置信度 0.84 MathematicsErgodic theoryRiemann hypothesisCalculus (dental)Pure mathematics
• Editorial: Consciousness of human environmental awareness in turbulent economic times
  Humanity exhibits increasing consciousness about the global natural environment (Edwards et al., 1996; Adabre et al., 2022) and, more specifically, how people and the artificial built environment must maintain a balanced equilibrium by limiting anthropogenic e…
  openalex David J. Edwards, Mina Najafi, Farzad Rahimian 2026-04-06 置信度 0.84 Natural resource economicsWildernessBiodiversityPopulationClimate change
• Self‐Assembled Peptide Nano‐Superstructure towards Enzyme Mimicking Hydrolysis
  The structural arrangement of amino acid residues in native enzymes underlies their remarkable catalytic properties, thus providing a notable point of reference for designing potent yet simple biomimetic catalysts. Herein, we describe a minimalistic approach t…
  openalex Yu Chen, Yuqin Yang, Asuka A. Orr, Pandeeswar Makam 等 2021-05-20 置信度 0.78 SuperstructureHydrolysisPeptideNano-Enzymatic hydrolysis
• When Less Regulation Means More Complexity: The EU AI Liability Directive Withdrawal and Its Impact on European Technological Competitiveness
  This paper examines the February 2025 withdrawal of the European Commission's AI Liability Directive (AILD) and its implications for European technological competitiveness. It challenges the assumption that deregulation inherently fosters innovation, demonstra…
  openalex Luca Nannini 2025-10-15 置信度 0.80 LiabilityDirectiveHarmonizationBusinessEuropean union
• AI Visibility Artifact: Framework Recall Without Attribution, ChatGPT, February 2026
  ChatGPT Returned the AI Visibility Framework as Established Knowledge On February 26, 2026, ChatGPT returned the AI Visibility framework as established knowledge, not as a retrieved document or a citation, but as built-in truth. The output was delivered with n…
  openalex Joseph Mas 2026-02-28 置信度 0.84 VisibilityComputer scienceContrast (vision)AttributionRecall
• Core/Shell Metal Halide Perovskite Nanocrystals for Optoelectronic Applications
  Abstract Core/shell structured metal halide perovskite nanocrystals (NCs) are emerging as a type of material with remarkable optical and electronic properties. Research into this field has been developing and expanding rapidly in recent years, with significant…
  openalex Chengxi Zhang, Jiayi Chen, Lingmei Kong, Lin Wang 等 2021-03-03 置信度 0.78 Materials sciencePerovskite (structure)Shell (structure)NanocrystalHalide
• AI/ML-enabled multi-omics integration of host genetics, immunity, and the gut microbiome in Crohn’s disease: From diagnosis to theranostics
  Crohn's disease is a long-term inflammatory disorder arising from the interaction of genetic risk factors, immune system dysfunction, and alterations in gut microbiota. Variability in clinical phenotypes and lack of biomarker specificity hinder the efficiency …
  openalex Nivedita Kedari, Urjaswee Dey, Desai Sreenija, Samriddha Paul 等 2026-07-07 置信度 0.84 MicrobiomePrecision medicineComputational biologyBiomarkerPersonalized medicine
• CloudPedagogy AI Capability Framework (2026 Edition)
  v1.1 — Expanded Resources Release CloudPedagogy AI Capability Framework (2026 Edition) This release expands the Initial Public Release (v1.0) of the CloudPedagogy AI Capability Framework by adding the full suite of companion documents, handbooks, and applied t…
  openalex Jonathan Wong 2025-12-05 置信度 0.84 Computer scienceKnowledge managementConceptual frameworkCorporate governanceResource (disambiguation)
• Unlocking potential in underachieving learners: self-regulation development through AI-supported e-mentoring among socioeconomically disadvantaged students
  Underachieving students from socioeconomically disadvantaged backgrounds often experience difficulty sustaining self-regulated learning (SRL), which contributes to persistent gaps in participation and academic achievement. This study evaluated a three-tiered A…
  openalex Yi Zhao 2026-03-23 置信度 0.84 PsychologyModerationDisadvantagedSocioeconomic statusAcademic achievement
• Effective gene editing by high-fidelity base editor 2 in mouse zygotes
  Targeted point mutagenesis through homologous recombination has been widely used in genetic studies and holds considerable promise for repairing disease-causing mutations in patients. However, problems such as mosaicism and low mutagenesis efficiency continue …
  openalex Puping Liang, Hong‐Wei Sun, Ying Sun, Xiya Zhang 等 2017-06-05 置信度 0.76 CRISPRGenome editingMutagenesisPoint mutationBiology
• Treatment of adult thoracolumbar spinal deformity: past, present, and future
  Care of the patient with adult spinal deformity (ASD) has evolved from being primarily supportive to now having the ability to directly treat and correct the spinal pathology. The focus of this narrative literature review is to briefly summarize the history of…
  openalex Justin S. Smith, Christopher I. Shaffrey, Christopher P. Ames, Lawrence G. Lenke 2019-05-01 置信度 0.82 MedicineComplicationIntensive care medicineNarrative reviewMEDLINE
• AI Visibility Artifact: Framework Recall Without Attribution, ChatGPT, February 2026
  ChatGPT Returned the AI Visibility Framework as Established Knowledge On February 26, 2026, ChatGPT returned the AI Visibility framework as established knowledge, not as a retrieved document or a citation, but as built-in truth. The output was delivered with n…
  openalex Joseph Mas 2026-02-28 置信度 0.84 VisibilityComputer scienceContrast (vision)AttributionRecall
• From Black Box to Glass Box: A Practical Review of Explainable Artificial Intelligence (XAI)
  Explainable Artificial Intelligence (XAI) has become essential as machine learning systems are deployed in high-stakes domains such as security, finance, and healthcare. Traditional models often act as “black boxes”, limiting trust and accountability. Traditio…
  openalex Xiaoming Liu, Danni Huang, Jingyu Yao, Jing Dong 等 2025-11-03 置信度 0.84 InterpretabilityTransparency (behavior)Computer scienceArtificial intelligenceLimiting
• Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection
  openalex Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe, Amar Kavuri 等 2025-04-07 置信度 0.69 National Lung Screening TrialLung cancerLung cancer screeningLungIn silico
• Closed-loop AI-integrated smart nanomaterial sensor-separation platform for real-time detection and adaptive capture of emerging pollutants in water systems
  Introduction Selective absorption of pollutants can be attained using smart nanomaterials despite the fact that most of the conventional methods of treating water separate the sensing process from the actual remediation. This work proposes a new approach where…
  openalex R Yasir Abdullah, U Barakkath Nisha 2026-07-08 置信度 0.84 AdsorptionPollutantComputer scienceWater pollutantsEnvironmental science
• Ligand‐induced Assembly of Copper Nanoclusters with Enhanced Electrochemical Excitation and Radiative Transition for Electrochemiluminescence**
  Abstract Copper nanoclusters (CuNCs) are emerging electrochemiluminescence (ECL) emitters with unique molecule‐like electronic structures, high abundance, and low cost. However, the synthesis of CuNCs with high ECL efficiency and stability in a scalable manner…
  openalex Qian Sun, Zhenqiang Ning, Erli Yang, Fei Yin 等 2023-09-12 置信度 0.82 ElectrochemiluminescenceNanoclustersElectrochemistryChemistryTransition metal
• AI-enabled learning analytics use relates to physical literacy and engagement in university PE via smart teaching and personalised feedback
  Digital transformation and AI-enabled learning analytics are reshaping higher education, and wearable-enabled analytics are increasingly used in embodied curricula such as university physical education (PE), but empirical evidence linking these systems to phys…
  openalex Yi Chen, Dongjin Xian, Yuhu Zhao, Yawei Sun 等 2026-02-11 置信度 0.84 Learning analyticsAnalyticsThematic analysisCurriculumMediation
• Talent Identification and AI-Driven Decision Tools in Sport: A Policy-Oriented Perspective on Algorithmic Bias, Data Privacy, and Digital Determinism in Player Evaluation
  Big-data analytics are increasingly used in scouting and talent identification, with machine learning (ML) tools applied to evaluate and predict player performance based on match statistics, video tracking, physical and anthropometric tests, psychological asse…
  openalex Elia Morgulev, Ofer H. Azar 2026-05-07 置信度 0.84 Computer scienceData scienceIdentification (biology)Perspective (graphical)Artificial intelligence
• Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
  Large Language Models (LLMs) have transformed artificial intelligence by advancing natural language understanding and generation, enabling applications across fields beyond healthcare, software engineering, and conversational systems. Despite these advancement…
  openalex Benji Peng, Hanxuan Chen, Keyu Chen, Qian Niu 等 2026-03-31 置信度 0.84 Computer scienceLinguisticsPhilosophy
• Ammonium and nitrate regulate NH4+ uptake activity of Arabidopsis ammonium transporter AtAMT1;3 via phosphorylation at multiple C-terminal sites
  In plants, nutrient transporters require tight regulation to ensure optimal uptake in complex environments. The activities of many nutrient transporters are post-translationally regulated by reversible phosphorylation, allowing rapid adaptation to variable env…
  openalex Xiangyu Wu, Ting Liu, Yongjian Zhang, Fengying Duan 等 2019-05-13 置信度 0.73 PhosphorylationAmmoniumDephosphorylationArabidopsisBiochemistry
• Robin: An Intuitive Wizard Application for R-Based Expression Microarray Quality Assessment and Analysis
  The wide application of high-throughput transcriptomics using microarrays has generated a plethora of technical platforms, data repositories, and sophisticated statistical analysis methods, leaving the individual scientist with the problem of choosing the appr…
  openalex Marc Lohse, Adriano Nunes‐Nesi, Peter Krüger, Axel Nagel 等 2010-04-13 置信度 0.78 WizardExpression (computer science)Computational biologyComputer scienceMicroarray analysis techniques
• An X-ray all-sky monitor with extraordinary sensitivity
  We set forth a conceptual design for an X-ray all-sky monitor based on lobster-eye wide-field telescopes. This instrument, suitable for a small satellite, would monitor the flux of objects as faint as 2 × 10−12 erg cm−2 s−1 (0.5–2.4 keV) on a daily basis with …
  openalex W. Priedhorsky, Andrew G. Peele, K. Nugent 1996-04-01 置信度 0.74 PhysicsSkyAstrophysicsAstronomySensitivity (control systems)
• Linking spatial planning and place branding strategies through cultural narratives in places
  Place branding refers to the creation of value in space by reinforcing and representing place assets in a cohesive manner, as a narrative image of the place itself. Such narratives of place are important in planning as well, when developing (strategic) spatial…
  openalex Sara Grenni, Lummina Horlings, Katriina Soini 2019-12-19 置信度 0.78 Place brandingNarrativePlace makingSpatial planningSense of place
• Success factors for introducing industrial human-robot interaction in practice: an empirically driven framework
  Abstract Human-robot interaction (HRI) promises to be a means whereby manufacturing companies will be able to address current challenges like a higher demand for customization. However, despite comparably low costs, there are only few applications in practice.…
  openalex Tobias Kopp, Marco Baumgartner, Steffen Kinkel 2020-12-09 置信度 0.82 PersonalizationRobotGermanPoint (geometry)Human–robot interaction
• Detecting Artificial Intelligence-Generated Personal Statements in Professional Physical Therapist Education Program Applications: A Lexical Analysis
  OBJECTIVE: The objective of this study was to compare the lexical sophistication of personal statements submitted by professional physical therapist education program applicants with those generated by OpenAI's Chat Generative Pretrained Transformer (ChatGPT).…
  openalex John H. Hollman, Beth A. Cloud, David A. Krause, Darren Q. Calley 2024-01-16 置信度 0.84 Recurrence quantification analysisPersonal computerPsychologyArtificial intelligenceDiscriminative model
• A gibberellin‐regulated gene from wheat with sequence homology to cathepsin B of mammalian cells
  A previous report described several cDNAs corresponding to mRNAs which accumulated in wheat aleurone layers treated with gibberellic acid (GA) (Baulcombe and Buffard, 1983). The protein sequence deduced from one of these clones (2529) has extensive similarity …
  openalex Francisco Javier Cejudo, George Murphy, Catherine Chinoy, David C. Baulcombe 1992-11-01 置信度 0.69 AleuroneGeneEndospermBiologyScutellum
• Anxiety and the Neurobiology of Temporally Uncertain Threat Anticipation
  When extreme, anxiety—a state of distress and arousal prototypically evoked by uncertain danger—can be debilitating. Uncertain anticipation is a shared feature of situations that elicit signs and symptoms of anxiety across psychiatric disorders, species, and a…
  openalex Juyoen Hur, Jason F. Smith, Kathryn A. DeYoung, Allegra S. Anderson 等 2020-09-21 置信度 0.82 Anticipation (artificial intelligence)AnxietyPsychologyAmygdalaStria terminalis
• Review of movement sensor applications in livestock animal activity recognition: Communications, data collection practices, and edge-AI solutions
  Animal Activity Recognition (AAR) is a key component of Precision Livestock Farming (PLF), enabling continuous monitoring of animal behaviour, health, and welfare. Advances in machine learning (ML) and sensor technologies have significantly improved AAR accura…
  openalex Bradley Patrick, Eiman Kanjo, Omprakash Kaiwartya 2026-03-19 置信度 0.84 Data collectionComputer scienceLivestockMovement (music)Environmental science
• Artificial Intelligence Driven Digital Transformation Mediating the Relationship Between Artificial Intelligence Readiness and Business Process Efficiency
  This study presents a novel account of artificial intelligence-driven digital transformation (AIDT) in the proposed relationship between artificial intelligence readiness (AIR) and business process efficiency (BPE). Data gathered from 227 firms was analyzed wi…
  openalex Maimoona Salam, Mirjana Radović-Markovič, Muhammad Shoaib Farooq, Dušan Marković 等 2026-01-29 置信度 0.84 Digital transformationProcess (computing)Artificial intelligenceComputer scienceKnowledge management
• Factors Associated with Siman Immunodeficiency Virus Transmission in a Natural African Nonhuman Primate Host in the Wild
  UNLABELLED: African green monkeys (AGMs) are naturally infected with simian immunodeficiency virus (SIV) at high prevalence levels and do not progress to AIDS. Sexual transmission is the main transmission route in AGM, while mother-to-infant transmission (MTIT…
  openalex Dongzhu Ma, Anna J. Jasinska, Felix Feyertag, Viskam Wijewardana 等 2014-03-13 置信度 0.76 Simian immunodeficiency virusBiologyVirologyTransmission (telecommunications)Viral load
• Expanding and Enhancing Neural Network-Based QM-AI Models for the Accurate Prediction of Halogen-π Interaction Energies in Protein Contexts
  High Resolution Image Download MS PowerPoint Slide In this study, we extend a previously introduced QM-AI strategy for predicting halogen···π interaction energies from a single aromatic model (representing phenylalanine) to multiple biologically relevant aroma…
  openalex M. Engelhardt, Finn Mier, Markus O. Zimmermann, Frank M. Boeckler 2026-04-14 置信度 0.84 Robustness (evolution)Applicability domainComputer scienceArtificial neural networkScalability
• Capturing Short- and Long-Term Temporal Dependencies Using Bahdanau-Enhanced Fused Attention Model for Financial Data—An Explainable AI Approach
  Prediction of stock closing price plays a critical role in financial planning, risk management, and informed investment decision-making. In this study, we propose a novel model that synergistically amalgamates Bidirectional GRU (BiGRU) with three complementary…
  openalex Rasmi Ranjan Khansama, Rojalina Priyadarshini, Surendra Kumar Nanda, Rabindra K. Barik 2026-01-07 置信度 0.84 InterpretabilityArtificial intelligenceMachine learningComputer scienceDeep learning
• The WRKY transcription factor HpWRKY44 regulates CytP450-like1 expression in red pitaya fruit (Hylocereus polyrhizus)
  Red pitaya (Hylocereus polyrhizus) fruit is a high-value, functional food, containing a high level of betalains. Several genes potentially related to betalain biosynthesis, such as cytochrome P450-like (CytP450-like), have been identified in pitaya fruit, whil…
  openalex Mei-nv Cheng, Zijuan Huang, Qingzhu Hua, Wei Shan 等 2017-08-02 置信度 0.80 BetalainWRKY protein domainBiologyTranscription factorGene
• AI Alignment and Safety of Large Language Models: A Survey of RLHF, Constitutional AI, Red-Teaming, and Value Learning
  AbstractAs large language models (LLMs) scale in capability and deployment scope, the problem of alignment—ensuring that modelsdo what humans actually want rather than what they are literally asked—has emerged as the defining challenge of the field.Misalignmen…
  openalex Abeda Elhenawy 2026-07-15 置信度 0.84 Computer scienceReinforcement learningAdversarial systemArtificial intelligenceSoftware deployment
• Identification and Functional Characterization of a Maize Phosphate Transporter Induced by Mycorrhiza Formation
  Phosphorus (P) is an essential macronutrient for plant life, although it is frequently not readily available to crops. Arbuscular mycorrhiza fungi (AMF) can improve plant P levels by inducing the expression of some phosphate (Pi) transporters. Symbiotic Pi upt…
  openalex Fang Liu, Yunjian Xu, Guomin Han, Wei Wang 等 2018-05-08 置信度 0.72 TransporterColonizationMycorrhizaMutantBiology
• Medicago truncatula ENOD40-1 and ENOD40-2 are both involved in nodule initiation and bacteroid development
  The establishment of a nitrogen-fixing root nodule on legumes requires the induction of mitotic activity of cortical cells leading to the formation of the nodule primordium and the infection process by which the bacteria enter this primordium. Several genes ar…
  openalex Xiaoli Wan, Jan Hontelez, Alessandra Lillo, Chiara Guarnerio 等 2007-04-23 置信度 0.69 Medicago truncatulaNodule (geology)PrimordiumBiologyCell biology
• Genomic Mechanisms of Physiological and Morphological Adaptations of Limestone Langurs to Karst Habitats
  Knowledge of the physiological and morphological evolution and adaptation of nonhuman primates is critical to understand hominin origins, physiological ecology, morphological evolution, and applications in biomedicine. Particularly, limestone langurs represent…
  openalex Zhijin Liu, Liye Zhang, Zhong-Ze Yan, Zhijie Ren 等 2019-12-15 置信度 0.78 BiologyAdaptation (eye)Evolutionary biologyEcologyConvergent evolution