Results 151 to 160 of about 60,447 (263)

Self-reflection, sense of agency, and underlying neural correlates: A pilot study. [PDF]

PLoS One
Gupta KV, Beuria J, Vijanapalli LK, Sethi A, Behera L.   +4 more
europepmc   +1 more source

Wedelolactone, a Novel TLR2 Agonist, Promotes Neutrophil Differentiation and Ameliorates Neutropenia: A Multi‐Omics Approach to Unravel the Mechanism

Advanced Science, EarlyView.
Wedelolactone (WED), a natural TLR2 agonist, promotes neutrophil differentiation and enhances bactericidal function, offering a potential therapeutic strategy for neutropenia. Using a multi‐omics approach, this study reveals that WED activates the TLR2/MEK/ERK pathway, upregulating key transcription factors (PU.1, CEBPβ) to drive neutrophil development.
Long Wang, Zhichao Li, Tianci Hu, Qinyao Li, Linwei Zhang, Xinyue Mei, Xiao Qi, Sheng Liu, Weijie Kong, Jiesi Luo, Anguo Wu, Feihong Huang, Sirui Li, Shuang Dai, Chunxiang Zhang, Rong Li, Jianming Wu   +16 more
wiley   +1 more source

Quantifying the compressibility of the human brain. [PDF]

Proc Natl Acad Sci U S A
Weaver NJ, Faskowitz J, Betzel RF, Lynn CW.   +3 more
europepmc   +1 more source

The Core–Shell Conformational Space of Compartmentalized Single‐Chain Nanoparticles by Paramagnetic and Hyperpolarized NMR Spectroscopy

Advanced Science, EarlyView.
Combinations of integrative NMR spectroscopy and molecular dynamics simulations reveal the internal structural dynamics of single‐chain nanoparticles. Abstract Single‐chain nanoparticles (SCNPs) are formed by the collapse of individual polymer chains, generating entities comparable to proteins in size, internal structure, and function.
Federico Faglia, Justus F. Thümmler, Christopher Pötzl, Milan Zachrdla, Ertan Turhan, Dennis Kurzbach, Wolfgang H. Binder   +6 more
wiley   +1 more source

Enhancing Neuromorphic Robustness via Recurrence Resonance: The Role of Shared Weak Attractors in Quantum Logic Networks. [PDF]

Biomimetics (Basel)
Huang Y, Gunji YP.
europepmc   +1 more source

Design of Single‐Atom Catalysts Anchored in N‐Doped Biphenylene Using Symbolic Regression for Electrocatalytic Nitrate Reduction to Ammonia

Advanced Science, EarlyView.
A high‐throughput in silico calculations for NO3RR based on transition metal doped and nitrogen decorated biphenylene network are performed. A symbolic regression is designed to capture the hidden descriptors of NO3RR for hyper dimensional system entailing large geometric variability.
Zheng Shu, Zhangsheng Shi, Huaxian Jia, Huifang Xu, Zian Xu, Zhongheng Li, Man‐Fai Ng, Teck Leong Tan, Fuqiang Huang, Yongqing Cai   +9 more
wiley   +1 more source

Topological phases of extended Su-Schrieffer-Heeger-Hubbard model. [PDF]

Sci Rep
Chang PJ, Pi J, Zheng M, Lei YT, Pan X, Ruan D, Long GL.   +6 more
europepmc   +1 more source

Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets

Advanced Science, EarlyView.
A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai, Tianyi Wang, Albert Lee, Shijie Xu, Zhongjian Bian, Xinyue Zhu, Puyang Huang, Aadi Chaturvedi, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Hanshen Huang, Lixuan Tai, Kin Wong, Jinbo Yang, Anjan Soumyanarayanan, Zhaochu Luo, Kang L. Wang   +18 more
wiley   +1 more source

Critical exponents and magnetocaloric response in Zintl phase EuIn₂ X₂ (X = As, P). [PDF]

Sci Rep
Ain QU, Pervez W, Synoradzki K, Toliński T.   +3 more
europepmc   +1 more source

A Machine Learning‐Driven Pore‐Scale Network Model Coupling Reaction Kinetics and Interparticle Transport for Catalytic Process Design

Advanced Science, EarlyView.
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu, Zhao‐Bin Ding, Dingyue Zhang, Sajjad Foroughi, Huanhao Chen, Zi‐Tao Yu, Jiyizhe Zhang, Lifeng Xiao, Martin J. Blunt, Xiaolei Fan, Qingyang Lin   +10 more
wiley   +1 more source