Results 251 to 260 of about 6,659,086 (346)

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing

Advanced Science, EarlyView.
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang, Steve Gaudez, Mario Togni, Steven Van Petegem, Markus Bambach, Mamzi Afrasiabi   +5 more
wiley   +1 more source

Herba Lysimachiae Polysaccharide‐Modified Selenium Nanoparticles Alleviate Oxidative Injury in Kidney Stones via TOMM22‐Regulated Mitophagy Activation

Advanced Science, EarlyView.
HLP‐SeNPs, a Lysimachia christinae polysaccharide‐modified selenium nanoparticle, treat kidney stones by downregulating TOMM22 expression, which reduces PINK1 translocation into mitochondria and promotes its retention on the outer mitochondrial membrane.
Junyi Yang, Guoruiyu Lyu, Wenlong Wan, Dongfeng Yuan, Jiabo Li, Yongqi Wang, Baokang Wang, Zhilong Ma, Yuanyuan Yang, Yang Xun, Xiao Yu   +10 more
wiley   +1 more source

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

Advanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke, Jackson Hoke, Shucheng Guo, Brittany Chan, Xi Chen   +4 more
wiley   +1 more source

Efficient anticorrelated variance reduction for stochastic simulation of biochemical reactions. [PDF]

IET Syst Biol, 2019
Thanh VH.
europepmc   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

A stochastic simulation model to study respondent-driven recruitment. [PDF]

PLoS One, 2018
Stein ML, Buskens V, van der Heijden PGM, van Steenbergen JE, Wong A, Bootsma MCJ, Kretzschmar MEE.   +6 more
europepmc   +1 more source

Engineered Optogenetic Circuits In Yeast with Self‐Sustained Outputs

Advanced Science, EarlyView.
Optogenetic quorum‐sensing (OptoQS) circuit enables Saccharomyces cerevisiae to record transient light stimulus with self‐sustained outputs. Panel a indicates the design of the OptoQS circuit based on G‐protein coupled receptor (GPCR) signaling cascade. Panel b indicates the mode of action of surrogate messenger‐mediated signal transmission at the cell
Cong Fan, Haofeng Chen, Yan Wang, Junyi Wang, Yueyang Chen, Yang Zhang, Jinting Guan, Jifeng Yuan   +7 more
wiley   +1 more source

Analysis and remedy of negativity problem in hybrid stochastic simulation algorithm and its application. [PDF]

BMC Bioinformatics, 2019
Chen M, Cao Y.
europepmc   +1 more source

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source