Results 171 to 180 of about 5,848,127 (241)

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

How Time, Narrative, and Discomfort Shape Learning: A Realist Evaluation of Behavioral Science Education for Medical Students. [PDF]

Perspect Med Educ
Haruta J, Kikuchi T, Kitanaka J, Kurata M.   +3 more
europepmc   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Navigating Uncertainty in Pediatric Chronic Illness Care: A Hermeneutic Phenomenological Study of Nurses in Saudi Arabia. [PDF]

Healthcare (Basel)
Alodhailah AM, Eid R, Almutairy BM, Alshaibany FF, Almutairi HN, Almutairi M.   +5 more
europepmc   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Training-FreeDetector-to-Promptable-Segmenter Integration for Stacked Cartons: Prompt Accuracy-Efficiency Trade-Offs. [PDF]

Sensors (Basel)
Yu L, Gao Q, Yang S, Qiu H, Meng X.
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Dynamic Risk Inference Method for Chemical Industrial Inspection Based on Spatio-Temporal Scene Graphs. [PDF]

Sensors (Basel)
Zhou M, Wang L, Li S, Ding Z.
europepmc   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Low-latency jamming mitigation in SWaP-constrained GNSS analog CRPAs via hierarchical dithered null steering. [PDF]

NPJ Wirel Technol
Elaraby M, Massoud A, Hassan M, Elghamrawy H, Noureldin A.   +4 more
europepmc   +1 more source