Results 161 to 170 of about 8,664,315 (234)

Stop comparing spells: a defense of mechanistic reasoning in quantitative medicine. [PDF]

Front Digit Health
Mangalam M, Kiyono K.
europepmc   +1 more source

Interpretable Deep Learning of Molecule‐Solvent Interactions Using a Solvatochromic Subgroup Contribution Framework

Advanced Science, EarlyView.
Chemistry‐informed deep learning (DL) models based on the solvatochromic subgroup contribution (SSC) framework predict and interpret solvent‐dependent spectral shifts, revealing physically meaningful subgroup‐solvent interactions. ABSTRACT Solvent effects critically influence the photophysical and optical properties of molecules in solution, yet a ...
Jinyong Park, Minhi Han, Kiwoong Lee, Seokwoo Kim, Sungnam Park   +4 more
wiley   +1 more source

Mathematical cognitive structures in Grade 12 students: a mixed-methods concept map study of gender differences and computational ability. [PDF]

Front Psychol
Wang Z, Chen J, Liu J, Wu Q.
europepmc   +1 more source

A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine

Advanced Science, EarlyView.
This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou, Helmut Hauser, David Correa   +2 more
wiley   +1 more source

Language and Mathematics Performance: A Systematic Umbrella Review and Meta-Meta-Analysis. [PDF]

J Intell
Geçici ME, Geçici F, Kaya M.
europepmc   +1 more source

Quantitative Visualization of Intracellular Nanometabolism Using Peak‐Shifted Dual‐State Emissive FRET Nanoprobes

Advanced Science, EarlyView.
This study reveals the long‐elusive intracellular dissolution mechanism of carrier‐free nanomedicines. By utilizing peak‐shifted dual‐state emissive FRET nanoprobes (PDFNPs) that undergo a distinct ratiometric fluorescence peak shift upon disassembly, we achieve real‐time, quantitative tracking of dissolution kinetics in live cells.
Farsai Taemaitree, Jinwoo Sung, Yutaro Miki, Ryuju Suzuki, Yoshitaka Koseki, Kunikazu Ishii, Minsang Kim, Keita Tanita, Kota Sato, Toru Nakazawa, Satoshi Katsube, Daisuke Unabara, Tasuku Hamaguchi, Keisuke Kawakami, Koji Yonekura, Akihide Hibara, Atsushi Wakamiya, Hiroshi Uji‐I, Hitoshi Kasai   +18 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Initial organization and progressive expansion of the math-responsive brain network during the first school years. [PDF]

Proc Natl Acad Sci U S A
Morfoisse T, Becuwe S, Palu M, Potier-Watkins C, Dehaene-Lambertz G, Dehaene S.   +5 more
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Eight quick tips for data-model integration in ecology. [PDF]

PLoS Comput Biol
Balstad LJ, Brennan J, Baskett ML, Berglund MK, Blundell MZ, Bolin JA, Briggs AA, Fisher MC, Heggerud CM, Jarvis-Cross M, Mossman L, Odell AN, Paige J, Pelletier S, Provost MM.   +14 more
europepmc   +1 more source