Results 81 to 90 of about 139,642 (268)
Peran dan Kontribusi Ilmuwan Muslim dalam Pembelajaran Matematika
The life that is lived now and in the future cannot be separated from the role of history in the past. Mathematics learning plays an important role in everyday life, often we find problems in everyday life can be solved with mathematical concepts.
Dini Palupi Putri
doaj +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
The aim of this research is to develop an integrative e-module based on numeracy literacy on probability material in the Kurikulum Merdeka that is valid and practical. The type of research used is research and development (R&D) with the ADDIE development
Novia Mar'atur Rosyidah +1 more
doaj +1 more source
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
Multi‐Targeting Carnosic Acid Kills Drug‐Resistant Helicobacter pylori With Narrow‐Spectrum Activity
Carnosic acid selectively eradicates drug‐resistant Helicobacter pylori through a multi‐targeted mechanism involving urease inhibition, membrane disruption, and biofilm eradication. It exhibits no detectable resistance, potent in vivo efficacy, and minimal impact on gut microbiota, positioning it as a promising narrow‐spectrum lead compound against ...
Yuefan Bai +7 more
wiley +1 more source
An exciting Approach to Theoretical Spectroscopy
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno +29 more
wiley +1 more source
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source

