Results 201 to 210 of about 10,393,605 (252)

Que peut l’intelligence artificielle dans une collaboration humain-machine en éducation ?

Revue Internationale d’Éducation de Sèvres
Luis Galindo, Laëtitia Pierrot
doaj   +1 more source

Knowledge Mapping of Human Genetic Variation in Multiomics Biomarker Translation: A Bibliometric Analysis. [PDF]

Hum Mutat
Zhao B, Ran W, Liang N.
europepmc   +1 more source

Amphibious Movement of Microrobots Inspired by Water Spiders

Advanced Science, EarlyView.
Inspired by the water strider, a novel microrobot is designed to maintain amphibious mobility in complex environments. It retains the ability to traverse the air‐liquid interface and perform directional movement within sophisticated, multifaceted environments, including complex gastric wall structures, with precise controllability.
Xiao Hu, Run Ouyang, Zhuhao Shi, Wanqiong Tao, Zuchao Zhu, Peifeng Lin, Jianzhong Lin, Luca Brandt   +7 more
wiley   +1 more source

Editorial: Reimagining roles and identity in the era of human - AI collaboration, volume II. [PDF]

Front Psychol
Chen X, Wen I, Qu Q, Chen W.
europepmc   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

Conceptual Understanding and Conceptual Change Through Human AI Collaboration in Science Education: An Integrated Conceptual Framework from a Systematic Literature Review. [PDF]

F1000Res
Muliyani R, Suhandi A, Cahya Prima E, Muslim M, Kurniawan Y, Rismayani Priatna D.   +5 more
europepmc   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

Artificial intelligence in gastric cancer research: a bibliometric and visualized analysis from 1993 to 2026. [PDF]

Front Oncol
Wang X, Zhang C, Ma Y, Liu Z, Liang G.
europepmc   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source