Results 111 to 120 of about 150,932 (264)

lncRNA-disease association prediction based on matrix decomposition of elastic network and collaborative filtering. [PDF]

Sci Rep, 2022
Wang B, Liu R, Zheng X, Du X, Wang Z.
europepmc   +1 more source

Tannic Acid‐Modified Cellulose Nanofiber Reinforced Polymerizable Eutectogels for High‐Performance Stretchable Strain Sensors

Advanced Functional Materials, EarlyView.
A polymerizable deep eutectic solvent is reinforced with tannic acid‐modified cellulose nanofibers to construct a hierarchical dynamic eutectogel network. Synergistic covalent and reversible interactions impart ultrahigh stretchability, high ionic conductivity, broad temperature tolerance, self‐healing, and strong adhesion, enabling robust wearable ...
Huang Wu, Yang Hu, Youmin Tuo, Weide Zhang, Nanzhu Bao, Haitao Wu, Zhuangzhuang Chu, Yunhua Chen, Tao Wang, Teng Yuan, Hongbo Zeng, Zhuohong Yang   +11 more
wiley   +1 more source

SCCPMD: Probability matrix decomposition method subject to corrected similarity constraints for inferring long non-coding RNA-disease associations. [PDF]

Front Microbiol, 2022
Lin L, Chen R, Zhu Y, Xie W, Jing H, Chen L, Zou M.   +6 more
europepmc   +1 more source

Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3

Advanced Functional Materials, EarlyView.
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh, Heung‐Sik Park, Jong‐Sook Lee, Chan‐Ho Yang   +3 more
wiley   +1 more source

k‐wise multi‐graph matching

IET Image Processing
Multi‐graph matching (MGM), which aims to find correspondences among multiple graphs, is an extension of conventional two‐graph matching. Existing MGM methods fall into two categories: pairwise based and tensor based.
Xinwen Zhu, Liangliang Zhu, Xiurui Geng
doaj   +1 more source

Skin Lesion Segmentation in Clinical Images Using Nonnegative Matrix Factorization and Mutual Information

IEEE Access
Early detection of cutaneous melanoma is crucial for improving patient survival rates. Skin lesion segmentation is a critical step towards computer-aided diagnosis that is effective in melanoma detection. This work proposes a novel patch-based model that
Eliezer Soares Flores, Jacob Scharcanski
doaj   +1 more source

Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition. [PDF]

Front Mol Biosci, 2022
Ni J, Cheng X, Ni T, Liang J.
europepmc   +1 more source

Enzyme‐Loaded Fe3+‐Modified Polydopamine Microparticles: Bioreactor Systems for Operating Biocatalytic Cascades, Enantioselective Transformations and Sensor Applications

Advanced Functional Materials, EarlyView.
Enzyme‐loaded Fe3+‐modified polydopamine microparticles (Fe3+‐PD) act as hybrid biocatalytic frameworks demonstrating NADH peroxidase‐mimic catalytic activities, operation of biocatalytic cascades in confined media, and enantioselective oxidation of D/L‐DOPA. ABSTRACT We report on the synthesis of Fe3+‐modified porous polydopamine microparticles acting
Liubing Kong, Sérgio R. S. Veloso, Yichen Han, Jianghe Zhao, Vitaly Gutkin, Ofir Tirosh, Itamar Willner   +6 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Matrix decomposition for modeling lesion development processes in multiple sclerosis. [PDF]

Biostatistics, 2022
Hu M, Crainiceanu C, Schindler MK, Dewey B, Reich DS, Shinohara RT, Eloyan A.   +6 more
europepmc   +1 more source