Results 131 to 140 of about 1,211,451 (269)
Advanced Science, EarlyView.Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Advanced Science, EarlyView.Precise characterization of n‐type organic semiconductors necessitates decoupling interfacial constraints from intrinsic charge transport. This work reveals that disordered polymers are particularly vulnerable to contact‐limited bottlenecks compared to their crystalline counterparts.
Walid Boukhili +15 more
wiley +1 more source
Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing
Advanced Science, EarlyView.An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang +10 more
wiley +1 more source
Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates
Advanced Science, EarlyView.Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta +3 more
wiley +1 more source
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
Advanced 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
An Implicit Bias in Error Management? [PDF]
Annals of Surgery, 2015 Neha, Malhotra +3 more
openaire +2 more sources
Advanced Science, EarlyView.MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
Implicit Racial Bias in Europe: Cross-National Variation and Time Trends
SociusThe authors visualize how implicit racial bias at the collective level varies across European countries and how it changed between 2009 and 2019. To obtain population-level estimates, the authors re-weight implicit association test data from the Project ...
Kasimir Dederichs, Pieter-Paul Verhaeghe
doaj +1 more source
Advanced Science, EarlyView.An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang +3 more
wiley +1 more source
This short online module helps users understand the definition of implicit or unconscious bias. It is helpful for introducing implicit bias and the idea that all humans have some implicit bias.
Saigo, Dr. Heather
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