Results 51 to 60 of about 60,094 (237)

Prediction of Protein-RNA Interactions Using Sequence and Structure Descriptors**This work was partially supported by the National Natural Science Foundation of China (NSFC) Grant No. 31100949, the Scientific Research Foundation for the Returned Overseas Chinese Scholars, Ministry of Education of China, the Fundamental Research Funds of Shandong University Grant No. 2014TB006, University of Rochester Center for AIDS Research Grant P30 AI078498 (NIH/NIAID) and NIH R01 Grant GM100788-01.

IFAC-PapersOnLine, 2015
Protein-RNA interactions play critical roles in numerous biological processes such as posttranscriptional regulation and protein synthesis. However, experimental screening of protein-RNA interactions is usually laborious and time-consuming. It is therefore desirable to develop efficient bioinformatics methods to predict protein-RNA interactions, which ...
Zhi-Ping Liu, Hongyu Miao
openaire   +3 more sources

Dislocation‐Mediated Thermoelectric Performance and Mechanical Behavior

Advanced Engineering Materials, EarlyView.
Dislocations can scatter phonons to reduce thermal conductivity, thereby enhance thermoelectric performance. However, dislocations also impact mechanical properties, leading to increased brittleness and altered plasticity. It is essential to clarify the complex relationship between dislocations, thermal transport, and mechanical stability to achieve a ...
Bangzhi Ge, Yuan Yu, Chongjian Zhou
wiley   +1 more source

In Situ Constructed Magnetic Core‐Shell Hydrogen‐Bonded Organic Framework‐on‐Metal–Organic Framework Structure: an Efficient Catalyst for Peroxymonosulfate Activation

Advanced Functional Materials, EarlyView.
In this work, a magnetic core‐shell catalyst (HOF‐on‐Fe3O4/ZIF‐67) is successfully synthesized, consisting of a metal–organic framework (ZIF‐67) with magnetic Fe3O4 as the core and a porous hydrogen‐bonded organic framework (HOF) as the shell. The catalyst efficiently activated peroxymonosulfate, resulting in rapid and effective removal of water ...
Yingying Du, Chenhui Ding, Chao Deng, Susanta Banerjee, Seema Agarwal   +4 more
wiley   +1 more source

Nearly deconfined spinon excitations in the square-lattice spin-1/2 Heisenberg antiferromagnet [PDF]

, 2017
We study the spin-excitation spectrum (dynamic structure factor) of the spin-1/2 square-lattice Heisenberg antiferromagnet and an extended model (the J−Q model) including four-spin interactions Q in addition to the Heisenberg exchange J.
Capponi, Sylvain, Chesi, Stefano, Meng, Zi Yang, Qin, Yan Qi, Sandvik, Anders W., Shao, Hui   +5 more
core   +3 more sources

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir, Miaoning Ren, Sami Pekdemir, Mustafa Kalay, Nilgun Kayaci, Nail Gunaltay, Hakan Usta, Xian Huang, Mustafa Serdar Onses   +8 more
wiley   +1 more source

Adaptive primal-dual genetic algorithms in dynamic environments [PDF]

, 2009
This article is placed here with permission of IEEE - Copyright @ 2010 IEEERecently, there has been an increasing interest in applying genetic algorithms (GAs) in dynamic environments.
Ip, WH, Wang, D, Wang, H, Yang, S
core   +2 more sources

Universal Superconductivity in FeTe and All‐Iron‐Based Ferromagnetic Superconductor Heterostructures

Advanced Functional Materials, EarlyView.
The first all‐iron‐based ferromagnetic superconductor heterostructures with high‐temperature superconductivity and strong ferromagnetism aredemonstrated. From this, it is discovered that FeTe becomes universallysuperconducting with a minute level of cationic impurities through doping ordiffusion from neighboring layers, suggesting its ground state can ...
Hee Taek Yi, Xiong Yao, Deepti Jain, Ying‐Ting Chan, An‐Hsi Chen, Matthew Brahlek, Kim Kisslinger, Kai Du, Myung‐Geun Han, Yimei Zhu, Weida Wu, Sang‐Wook Cheong, Seongshik Oh   +12 more
wiley   +1 more source

A new optimization algorithm for single hidden layer feedforward neural networks

Applied Soft Computing, 2013
Feedforward neural networks are the most commonly used function approximation techniques in neural networks. By the universal approximation theorem, it is clear that a single-hidden layer feedforward neural network (FNN) is sufficient to approximate the corresponding desired outputs arbitrarily close.
Shao, S, Yiu, KFC, Li, LK
openaire   +4 more sources

Polynomial and linearized normal forms for almost periodic differential systems [PDF]

, 2015
Agraïments: The first author is partially supported by NSFC key program of China (no. 11231001). The MINECO/FEDER grant UNAB13-4E-1604. And the third is supported by NSFC for Young Scientists of China (no.
Li, Weigu, Llibre, Jaume, Wu, Hao
core   +2 more sources

Making Photoresponsive Metal–Organic Frameworks an Effective Class of Heterogeneous Photocatalyst

Advanced Functional Materials, EarlyView.
This review summarizes photoresponsive MOFs for photocatalytic applications, focusing on their capacity to enhance light harvesting, charge transfer, and surface reactions. While existing studies provide foundational insights, emerging characterization techniques enable a deeper understanding of photoresponsive MOFs.
Rui Liu, Hao Wu, Hoi Ying Chung, Yun Hau Ng   +3 more
wiley   +1 more source