Results 141 to 150 of about 143,921 (267)

Semantic alignment of the German Human Genome-Phenome Archive metadata model in Europe's genomics field. [PDF]

Sci Data
Mauer K, Iyappan A, Parker S, Sürün B, Tremper G, Menges P, Kuchenbecker L, Kirli K, Schultze JL, Nahnsen S, Ulas T, GHGA Consortium.   +11 more
europepmc   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

SASBDB reaches 5000 data sets: empowering open science and next-generation SAS analysis. [PDF]

Acta Crystallogr D Struct Biol
Blanchet CE, Sutinen A, Graewert MA, Soloviov D, Tropin T.   +4 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Towards a FAIR metadata framework for drone and uncrewed aerial vehicle data. [PDF]

Sci Data
Ellsäßer FJ, Nikuze A.
europepmc   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li, Ismail M. Khater, Christian Hallgrimson, Ben Cardoen, Timothy H. Wong, Ghassan Hamarneh, Ivan R. Nabi   +6 more
wiley   +1 more source

Identification of biomedical entities from multiple repositories using a specialized metadata schema and search-augmented large language models. [PDF]

BMC Res Notes
Kaier K, Engel F, Benadi G, Giuliani C, Watter M, Kalantari A, Schuller K, Franzke CW, Sperandio M, Binder H.   +9 more
europepmc   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

The European Nucleotide Archive in 2025. [PDF]

Nucleic Acids Res
David Y, Alisha A, Awais A, Rajkumar D, Dipayan G, Muhammad H, Maira I, Eugene I, Vishnukumar K, Amnon K, Manish K, Ankur L, Isuru L, Lili M, Colman O, Joana P, Ruben P, Stephane P, Nadim R, Jeena R, Iva T, Marianna V, Senthilnathan V, Zahra W, Peter W, Tony B, Guy C, Ugis S.   +27 more
europepmc   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source