Results 61 to 70 of about 3,304,532 (261)
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke+2 more
wiley +1 more source
Mine-Microseismic-Signal Recognition Based on LMD–PNN Method
The effective recognition of microseismic signal is related to the accuracy of mine-dynamic-disaster precursor-information processing, which is a difficult method of microseismic-data processing.
Qiang Li, Yingchun Li, Qingyuan He
doaj +1 more source
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro+2 more
wiley +1 more source
This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric accuracy is one of the most crucial measures of part quality.
Sofien Akrichi+3 more
doaj +1 more source
Magnetic anomaly detection (MAD) is an effective method to detect the existence and localization of magnetic targets. Magnetic signal processing technology can extract target signals from complex background noise.
Yijie Qin+5 more
doaj +1 more source
Design of X-ray energy detector
Energy is an essential key element in the process of human survival and development. With the development and progress of science and technology, human beings pushed the age to the industrial period by discovering and exploiting coal. And then, all kinds
Fan Zeng, Zhiyuan Zhu
doaj +1 more source
XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge
Bio-signals exhibit high redundancy, and the algorithms for their processing are inherently error resilient. This property can be leveraged to improve the energy-efficiency of IoT-Edge (wearables) through the emerging trend of approximate computing. This
Prabakaran, Bharath Srinivas+2 more
core +1 more source
Disruption of SETD3‐mediated histidine‐73 methylation by the BWCFF‐associated β‐actin G74S mutation
The β‐actin G74S mutation causes altered interaction of actin with SETD3, reducing histidine‐73 methylation efficiency and forming two distinct actin variants. The variable ratio of these variants across cell types and developmental stages contributes to tissue‐specific phenotypical changes. This imbalance may impair actin dynamics and mechanosensitive
Anja Marquardt+8 more
wiley +1 more source
An Island Grouping Genetic Algorithm for Fuzzy Partitioning Problems
This paper presents a novel fuzzy clustering technique based on grouping genetic algorithms (GGAs), which are a class of evolutionary algorithms especially modified to tackle grouping problems. Our approach hinges on a GGA devised for fuzzy clustering by
S. Salcedo-Sanz, J. Del Ser, Z. W. Geem
doaj +1 more source
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao+7 more
wiley +1 more source