Results 161 to 170 of about 2,360,372 (228)

Giant Conductivity Modulation and Chemical Neuromodulation via Proton‐Electron Coupling in a Hydrogen‐Bonded Coordination Polymer

Advanced Science, EarlyView.
A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park, Jumin Park, Huiyeong Ju, Nasim Arafat, Byoung Gwan Lee, Joohee Oh, Eejin Jang, Hyunseob Lim, Seok Min Yoon, Dae‐Woon Lim, Intek Song   +10 more
wiley   +1 more source

pC-SAC: A method for high-resolution 3D genome reconstruction from low-resolution Hi-C data. [PDF]

Nucleic Acids Res
Angel JC, El Amraoui N, Gürsoy G.
europepmc   +1 more source

Ultra‐Low Intensity Continuous Wave Laser Ablation Propulsion With Graphene‐Engineered Wood

Advanced Science, EarlyView.
Graphene delignified wood converts continuous wave laser energy into thrust. Laser propulsion experiments in vacuum reveal the lowest laser ablation threshold intensities and the greatest density‐normalized specific impulse in literature. The results highlight graphene delignified wood as a potential efficient, sustainable, strong, and lightweight ...
Afnan S. M. Elmubasher, Rami Elkaffas, Mohamed Hamid Salim, Basel Altawil, Chanaka Sandaruwan, Shanavas Shajahan, Ahsan Baidar Bakht, Irfan Hussain, Blaise L. Tardy, Sean S. M. Swei, Yarjan Abdul Samad   +10 more
wiley   +1 more source

scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data. [PDF]

BMC Bioinformatics
Xie Q, Meng W, Lin S.
europepmc   +1 more source

Advanced Multiscale Modeling for Revealing Anomalous Fluid Transport Induced by Confinement Interfacial Layer Reconstruction in Sub‐10 nm Space

Advanced Science, EarlyView.
Integrating experimental insights with molecular dynamics simulations, we establish an advanced mathematical model for fluids confined in sub‐10‐nm channels, enabling quantitative prediction of interfacial layer thickness and viscosity by accounting for channel material, temperature, and fluid properties.
Xiang Zhang, Bing Wei, Jingyi Wang, Runnan Wu   +3 more
wiley   +1 more source

ScHiCAtt: Enhancing single-cell Hi-C data resolution using attention-based models. [PDF]

Comput Struct Biotechnol J
Menon R, Mohit Chowdhury HMA, Oluwadare O.   +2 more
europepmc   +1 more source

Electric‐Current‐Induced Phase Transformation in Cu6Sn5 Below Its Equilibrium Transition Temperature

Advanced Science, EarlyView.
Electric current induces a monoclinic‐to‐hexagonal phase transformation in Cu6Sn5 at a measured bulk temperature of ∼120°C, below the equilibrium transition temperature. Ex situ synchrotron x‐ray diffraction, TEM, and matched thermal controls show that current stressing promotes the formation of a retained hexagonal η‐phase post‐stress state not ...
Shih‐kang Lin, Shubhayan Mukherjee, Yu‐chen Liu, Jun Mizuno   +3 more
wiley   +1 more source

Topologically associating domains of chromatin on single-cell Hi-C data: a survey of bioinformatic tools and applications in the light of artificial intelligence. [PDF]

Front Genet
Lyu H, Li Y, Chen X, Liu Y, Liu E, Cheng X.   +5 more
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

Expression of Concern: HiSV: A control-free method for structural variation detection from Hi-C data. [PDF]

PLoS Comput Biol
PLOS Computational Biology Editors.
europepmc   +1 more source