Results 181 to 190 of about 115,523 (316)

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Initial Distance‐Dependent Mean Force Drives Synaptic Vesicle Motion Toward Fusion Sites in Stimulated Hippocampal Neurons

Advanced Science, EarlyView.
Synaptic vesicle (SV) motion and exocytosis dynamics in the presynaptic terminals of live neurons are intimately linked to synaptic transmission during neuronal activity. In this work, it is revealed that, during electrical stimulation, SVs located farther from their fusion sites exhibit greater straightness and experience larger mean forces directed ...
Gyunam Park, Ji‐Hyun Kim, Hunki Lee, Chungwon Park, Sidong Chen, Luke Bates, Jaeyoung Sung, Hyokeun Park   +7 more
wiley   +1 more source

The solitary solutions for the stochastic fractional Chen Lee Liu model perturbed by multiplicative noise in optical fibers and plasma physics. [PDF]

Sci Rep
Mohammed WW, Iqbal N, Sidaoui R, Alshammary MW.   +3 more
europepmc   +1 more source

Harnessing Time‐Dependent Magnetic Texture Dynamics via Spin‐Orbit Torque for Physics‐Enhanced Neuromorphic Computing

Advanced Science, EarlyView.
A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang, Yu Li, Huai Lin, Xinying Wang, Long Liu, Guoliang Xing, Di Wang, Zhihao Zhao, Zhipeng Guo, Junbo Yang, Jiebin Niu, Yan Sun, Tom Wu, Guozhong Xing   +13 more
wiley   +1 more source

Global well-posedness of 2D stochastic Burgers equations with multiplicative noise

, 2021
Guoli Zhou, Lidan Wang, Jiang-Lun Wu
openalex   +2 more sources

AI‐Optimized Vanadium Oxide Multilayers for More Than 20‐fold Enhancement in Bolometric Performance

Advanced Science, EarlyView.
Machine‐learning‐optimized WxV1‐xOy multilayer thin films with graded doping achieve a high TCR (7.3 % K−1), reduced hysteresis, and low noise under CMOS‐compatible growth conditions. This approach overcomes the long‐standing trade‐off in microbolometers between linear response and performance, offering a universal bolometric parameter greatly enhanced
Jin‐Hyun Choi, Hyoung‐Taek Lee, Jeonghoon Kim, Miju Park, Seungjoon Sun, Gye‐Hyeon Kim, Myung‐Ho Kwon, Hyeong‐Ryeol Park, Changhee Sohn   +8 more
wiley   +1 more source

Path-by-path regularisation through multiplicative noise in rough, Young, and ordinary differential equations [PDF]

Konstantinos Dareiotis, Máté Gerencsér   +1 more
openalex   +1 more source

Coincident Fluorescence‐Burst Analysis of Actin Cargo Molecules in Secreted Single Diffusing Extracellular Vesicles From Human Induced Pluripotent Stem Cells

Advanced Science, EarlyView.
This study presents a two‐color FCCS and coincident‐burst analysis platform to quantify actin cargo in dual‐labeled EVs secreted from hiPSCs. The approach tracks secretion dynamics, confirms actin loading, and measures EV size and cargo number, offering insights into cytoskeletal disruption and neuronal differentiation relevant to neurodegenerative ...
Dang Du Nguyen, Aleksandr Barulin, Won Jong Yu, Jong‐Chan Park, Inki Kim   +4 more
wiley   +1 more source

Additive or Multiplicative Perceptual Noise? Two Equivalent Forms of the ANCHOR Model

, 2008
Alexander A. Petrov
openalex   +1 more source

scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

Advanced Science, EarlyView.
scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley   +1 more source