Results 181 to 190 of about 29,428 (264)

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Investigating individual differences in adult bilinguals' spelling of cognates: An analysis of cross-linguistic effects. [PDF]

Biling (Camb Engl)
Rigobon VM, Gutiérrez N, Edwards AA, Steacy LM, Compton DL.   +4 more
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Bipolar cell networks underlying steady-state intensity encoding in intrinsically photosensitive retinal ganglion cells. [PDF]

iScience
Sabbah S, Papendorp C, Behrendt I, Rasras H, Cann J, Leyrer ML, Koplas E, Beltoja M, Etebari C, Gunesch AN, Carrete L, Kim MT, Manoff G, Bhatia-Lin A, Zhao T, Dowling H, Briggman KL, Berson DM.   +17 more
europepmc   +1 more source

Sticky Yet Slippery: Molecular Ordering Reconciles Bubble‐Surface Affinity With Ultralow Friction at the Nanoscale

Advanced Science, EarlyView.
By engineering the molecular order and thickness of PDMS layers, we reconcile the stickiness and slipperiness during bubble transport. AFM measurements and MD simulations further reveal how these nanoscale architectures tune hydrophobic interaction FHB and friction force f.
Shishuang Zhang, Jiajun Li, Huadong Tian, Zhoujie Wang, Chenyu Qiao, Jingyi Wang, Lei Xie, Hongbo Zeng   +7 more
wiley   +1 more source

Computational predictive processing models of consciousness: a systematic review of non-invasive brain signal analysis in disorders of consciousness. [PDF]

Front Comput Neurosci
Adama S, Bogdan M.
europepmc   +1 more source

A Soft Mechanoluminescent Skin for High‐Resolution Optical Tactile Sensing in Human–Machine Interaction

Advanced Science, EarlyView.
A soft mechanoluminescent tactile sensor that converts force directly into light is presented, enabling imaging‐based, wiring‐free touch sensing. By integrating a flexible ML‐skin with CMOS readout, the system achieves high sensitivity, fast response, and high spatial resolution, while maintaining structural simplicity and energy efficiency, offering a
Yu Feng, Qiaojiao Wang, Yehui Liu, Jiankun Li, Senlin Hou, Xiaomeng Yang, Ziyi Li, Yanji Yi, Meng Chen, Guanglie Zhang, Hao Sun, Wen Jung Li   +11 more
wiley   +1 more source

MGFNet: A Multi-Granularity Fusion Network with Coupling-Guided Sparse Routing for Hybrid EEG-fNIRS Decoding. [PDF]

Sensors (Basel)
Zhang Y, Gong X, Yuan X.
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches. [PDF]

Front Hum Neurosci
Al-Bander B.
europepmc   +1 more source