Results 181 to 190 of about 92,842 (265)

Study on the Reaction Mechanism of RuOx and Its Enhanced Hydrogen Evolution Reaction Activity

Advanced Science, EarlyView.
In situ Raman spectroscopy and DFT calculations reveal that, prior to the onset of HER, the surface of RuOx undergoes reversible reduction and structural reconstruction. The resulting Ru(II)O/Ru(IV)O2 configuration is identified as the true catalytically active species.
Liquan Zhang, Haobo Dong, Jianrui Feng, Longxiang Liu, Fei Guo, Liqun Kang, Guoliang Chai, Mohamed A. Ghanem, Xinde Chen, Ivan P. Parkin   +9 more
wiley   +1 more source

Supervised machine learning computing paradigm of energy activation for magnetic nanofluid flow via porous surface with nonlinear variant viscosity. [PDF]

Discov Nano
Alhubieshi N, Khan RA, Khan A, Jamshed W, Hussain SM, Ahmad H, Eid MR, Guedri K.   +7 more
europepmc   +1 more source

Electrocatalytic Coupling Conversion of Methane by Dual‐Site Control in Nickel Oxyhydroxide

Advanced Science, EarlyView.
Electrocatalytic coupling conversion of methane (CH4) is accomplished on the nickel oxyhydroxide (NiOOH), wherein the Ni─O dual‐site is triggered via the proper electronic interaction, synergistically promoting the C─H activation and C─C formation, enabling a selective and efficient C2 product generation route under ambient conditions. ABSTRACT Methane
Kailong Lu, Yangshen Chen, Junhao Wang, Yi Zhang, Sunyang He, Huimin Xu, Hui Liu, Jiao Deng   +7 more
wiley   +1 more source

anndataR improves interoperability between R and Python in single-cell transcriptomics. [PDF]

Bioinformatics
Deconinck L, Zappia L, Cannoodt R, Morgan M, Virshup I, Sang-Aram C, Bredikhin D, Schilder B, Seurinck R, Saeys Y, scverse core .   +10 more
europepmc   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Modified Z-algorithms for reckoning fixed points with application to nonlinear integral equations. [PDF]

PLoS One
Rehman HU, Hammad HA, Abdalla MEM.
europepmc   +1 more source

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

Advanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang, Qinyang Jiang, Junjie Ma, Jianwei Zou, Fan Wang, Feifei Lv, Yanna Huang, Yongcheng Wang, Ziye Xu   +8 more
wiley   +1 more source

Efficiency, accuracy and robustness of probability generating function based parameter inference method for stochastic biochemical reactions. [PDF]

PLoS Comput Biol
Li S, Wang Y, Shu Z, Grima R, Jiang Q, Cao Z.   +5 more
europepmc   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

Dynamic behavior of a stochastic epidemic model for skin sores: theoretical and computational perspectives. [PDF]

Sci Rep
Raza A, Lampart M, Rocha EM, Baleanu D, Taha HH, Fadhal E.   +5 more
europepmc   +1 more source