Results 121 to 130 of about 784,927 (243)

Evolutionary patterns and structural divergence of CENH3 in legumes: Implications for haploid induction breeding

Grassland Research, EarlyView.
From structure to application: evolutionary insights and genome editing strategies for CENH3‐mediated haploid induction in legumes. Abstract Background The centromeric histone variant CENH3 is crucial for chromosome segregation and haploid induction in plants, yet its evolutionary patterns in legumes remain poorly characterized. Methods We investigated
Jialiang Zhou, Kai Wang
wiley   +1 more source

Insulator fault feature extraction system of substation equipment based on machine vision

IET Networks, EarlyView., 2022
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang, Qiaoqun Xia, Lijun Ma, Xin Xu, Zhipeng Shao   +4 more
wiley   +1 more source

First-principles calculations of the electronic and possible topological properties of confirmed two-dimensional high <i>T</i> _c superconductors Nb₂CoS₄, Nb₂CuS₄, and PtN₂. [PDF]

RSC Adv
Lu H, Ren S, Luo X.
europepmc   +1 more source

Experimental Factors and Techniques for Pool Boiling Heat Transfer Enhancement: A Critical Review

Heat Transfer, EarlyView.
ABSTRACT This review presents a comprehensive assessment of active strategies for enhancing pool boiling heat transfer, with a focus on techniques that do not rely solely on the boiling surface modification. It examines a broad range of methodologies including fluid additives, external fields, mechanical interventions, and thermal‐geometric tuning that
José E. Pereira, R. R. Souza, A. S. Moita   +2 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

ProMoHGT: a heterogeneous graph transformer with graph contrastive learning for robust microbial protein function prediction. [PDF]

BMC Genomics
Sui J, Wang X, Su Y, Gao M, Huang H, Liu H, Zhang J, Tang Y.   +7 more
europepmc   +1 more source

Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology

InfoScience, EarlyView.
Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang, Hongqiang Wang, Xu Chen, Xin Peng   +3 more
wiley   +1 more source

Quantification of planar cortical magnification with optimal transport and topological smoothing. [PDF]

Neuroimage
Xiong Y, Mallak NJ, Tu Y, Lu ZL, Wang Y.
europepmc   +1 more source

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

Interdisciplinary Medicine, EarlyView.
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai, Qiong Lan, Tong Xie, Qinglin Liu, Ming Zhao, Xiaolian Wu, Xin Shi, Ruonan Shen, Yiman Wu, Chen Mao, Bin Cong, Bofeng Zhu   +11 more
wiley   +1 more source

Machine learning based model predictive control for grid connected enhanced switched capacitor cross‐connected switched multi‐level inverter (ESC3SMLI)

IET Power Electronics, EarlyView., 2023
This article describes an enhanced switched capacitor cross‐connected switched multilevel inverter (ESC3SMLI) with machine learning‐based model‐predictive control (ML‐MPCM). An improved switched capacitor cross connected switched multilevel inverter featuring minimal devices are presented. The proposed ESC3SMLI produces nine levels using eight switches,
Arun Vijayakumar, Albert Alexander Stonier, Geno Peter, Ezhil Vignesh, Vivekananda Ganji   +4 more
wiley   +1 more source