Results 131 to 140 of about 16,870 (170)

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Sex-specific changes in the hippocampal proteome of Negr1^-/- mice: insight into the mechanisms of neuropsychiatric disorders. [PDF]

Biol Sex Differ
Muthuraman S, Jayaram M, Promet L, Jagomäe T, Devarajan AK, Hade AC, Philips MA, Singh K, Vasar E.   +8 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Panda profiles: integrating personality, cognition, and physiology for conservation success. [PDF]

Conserv Physiol
Li Y, Yu C, Liao J, Jiang Y, Liu T, Luo L, Yang S, Yang B, Xu X, Deng T, Li D, Ran J.   +11 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

ALYREF condensation stabilizes m⁵C-modified PARP10 mRNA and promotes PI3K-AKT signaling in ovarian cancer. [PDF]

EMBO J
Zhao H, Wei Q, Luo Z, Liu X, Yang C, Chen N, Wang Y, Luo X, Zuo X, Luo Q, Yang Y, Zhou Y, Liu J, Zhang T, Yang D, Long Y, Mobet Y, Xu J, Wang W, Liu T, Yi P.   +20 more
europepmc   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Network pharmacology identifies the mechanisms of action of Jianpi Yanggan Pill in treating diarrhea-predominant irritable bowel syndrome. [PDF]

Am J Transl Res
Ma K, Hua X, Li Z, Zhang S, Zhu T, Jin L, Li W, Shao J, Li X, Wen W, Luan Y.   +10 more
europepmc   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Stem cell specification and niche formation in developing incisor require actomyosin forces. [PDF]

Stem Cells
Mohtadi Hamadani Y, Evers L, Myllymäki SM, Juuri E, Jussila M, Gueguen P, Mina M, Thesleff I, Balic A.   +8 more
europepmc   +1 more source