Results 141 to 150 of about 845,536 (289)

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

open access: yesAdvanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

PROGRAMMING FUNDAMENTALS TEACHING TO THE STUDENTS OF PHYSICO-MATHEMATICAL PROFILE

open access: yesÌнформаційні технології в освіті, 2017
The article provides methodical recommendations on studying of the discipline "Informatics" for the specialists preparation of the first (Bachelor) level of higher education of the field of knowledge 01 "Education" of the specialty 014.04 "Secondary ...
Vdovychyn Tatiana, Lazurchak Liubov
doaj  

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

open access: yesAdvanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

In Vivo Direct Reprogramming: Current Progress and Future Prospects from Mechanisms to Therapeutic Application

open access: yesAdvanced Science, EarlyView.
This review examines the potential of in vivo direct reprogramming in regenerative medicine for functional tissue restoration, highlighting the role of tissue‐resident cues in generating functionally mature reprogrammed cells from lineage‐related cells. It contains a discussion on mechanisms, reprogramming factors, delivery approaches, and applications
Rishabh Deo Singh   +2 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko   +8 more
wiley   +1 more source

Space Jam‐Ming: Generating Interstitial Space Using Fragmented Granular GelMA to Investigate Novel Paradigms of Cancer Metastasis

open access: yesAdvanced Science, EarlyView.
Microgels enable independent control of stiffness and interstitial space, overcoming limitations of conventional 3D hydrogels. Using fragmented gelatin methacryloyl microgels, we show that stiffness does not restrict non‐metastatic breast cancer growth, contrary to bulk hydrogels, and reveal the role of adherent‐to‐suspension transition in cancer ...
Danielle Vahala   +15 more
wiley   +1 more source

A national survey of clinical informatics educational opportunities in United States medical schools. [PDF]

open access: yesJ Am Med Inform Assoc
Lee GY   +7 more
europepmc   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

open access: yesAdvanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge   +13 more
wiley   +1 more source

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