A single cysteine residue in vimentin regulates long non-coding RNA XIST to suppress epithelial–mesenchymal transition and stemness in breast cancer by Saima Usman, William Andrew Yeudall, Muy-Teck Teh, Fatemah Ghloum, Hemanth Tummala, Ahmad Waseem

“…Targeting the mutant vimentin or XIST by RNA interference partially reversed the phenotypes in C328-VIM-expressing MCF-7 cells. …”
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LiFi for Industry 4.0: Main Features, Implementation and Initial Testing of IEEE Std 802.15.13 by Kai Lennert Bober, Anselm Ebmeyer, Falko Dressler, Ronald Freund, Volker Jungnickel

“…This paper outlines the features of the new IEEE Std 802.15.13-2013, suitable for industrial OWC, and presents details of our prototype implementation along with initial experiments. …”
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Features of the Surface and Subsurface Waves Application for Ultrasonic Evaluation of Physicomechanical Properties of Solids. Part 1. Influence of the Geometrical Parameters by A. R. Baev, A. L. Mayorov, M. V. Asadchaya, V. N. Levkovich, K. G. Zhavoronkov

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A Case Report of Clinical Features Analysis of a Novel IKBKG Variant Leading to Anhidrotic Ectodermal Dysplasia and Immunodeficiency by HUANG Xiaomei, LUO Ying, HE Tingyan, XU Yongbin, XIA Yu, YANG Zhi, ZHU Xiaona, HUANG Yanyan, WENG Ruohang, YANG Jun, WANG Linlin

“…In addition, genetic analysis is needed to exclude pseudogene interference and functional evaluations are required.…”
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Weak fault diagnosis method for rolling bearings under strong background noise based on EEMD-FK-AMCKD by XIE Guizhong, XU Shuaiqiang, DU Wenliao, LUO Shuangqiang, LI Hao, WANG Liangwen, GONG Xiaoyun

“…ObjectiveTo address the challenge of accurately capturing weak features in vibration signals under strong noise interference, a joint filtering method combining ensemble empirical mode decomposition (EEMD), fast kurtogram (FK), and adaptive maximum correlation kurtosis deconvolution (AMCKD) was proposed.MethodsFirstly, the vibration signal was decomposed into multiple intrinsic mode functions (IMF) via EEMD for multiscale analysis. …”
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Withstand control: standing posture differentially affects space-based and feature-based cognitive control through enhanced physiological arousal by Nuno Busch, Artyom Zinchenko, Martin Halle, Thomas Geyer

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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…This enables the network to effectively fuse shallow positional features and high-level semantic information to enhance the information extraction capability and better distinguish between target and interference, improving the anti-interference capability of the model. …”
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HCANet: a micro expression recognition model based on hierarchical Transformer architecture by YANG Aonan, MO Hong, ZHAO Shili, OUYANG Yuqi

“…HCANet models optical flow differences between onset and apex frames to capture local details and reduce identity interference, thereby avoiding the oversight of local details when directly extracting features from full video frames It consists of a Transformer layer for local temporal feature extraction and an aggregation layer for global facial feature learning. …”
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Research on Two-Dimensional Digital Map Modeling Method Based on UAV Aerial Images by Han Wang, Kai Zong, Dongfeng Gao, Xuerui Xu, Yanwei Wang

“…The proposed Canny edge-enhanced Speeded-Up Robust Features (C-SURF) algorithm in this method is designed to enhance the number of feature extractions and the accuracy of image registration. …”
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n-FFT COMPRESSED SENSING ALGORITHM OF SMART DIMENSIONALITY REDUCTION METHOD AND ITS APPLICATION IN FEATURE EXTRACTION AND CLASSIFICATION OF GEAR SYSTEM by CHEN Xiao, HUANG ChuanJin

“…Analysis shows that n-FFT algorithm is fast,with high feature accumulation,is beneficial to the classify and fault monitoring and diagnosis of gear operating state.…”
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MS3D: A Multi-Scale Feature Fusion 3D Object Detection Method for Autonomous Driving Applications by Ying Li, Wupeng Zhuang, Guangsong Yang

“…It integrates a Second Feature Pyramid Network to enhance multi-scale feature representation and contextual integration. …”
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MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

“…A weighted fusion method of Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) was used to extract shape and texture features simultaneously. Principal Component Analysis (PCA) was used to reduce the dimension of fused features to reduce the false detection rate caused by redundant noise interference. …”
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Multi-task neural network for solving the problem of recognizing the type of QAM and PSK modulation under parametric a priori uncertainty by A. A. Paramonov, V. M. Nguyen, M. T. Nguyen

“…A multi-task learning with artificial neural network using cumulant features and a data standardization algorithm is presented. …”
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OM-VST: A video action recognition model based on optimized downsampling module combined with multi-scale feature fusion. by Xiaozhong Geng, Cheng Chen, Ping Yu, Baijin Liu, Weixin Hu, Qipeng Liang, Xintong Zhang

“…This model adds a multi-scale feature fusion module with an optimized downsampling module based on a Video Swin Transformer (VST) to improve the model's ability to perceive and characterize feature information. …”
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YOLOP-MVF: A Multi-Task Autonomous Driving Perception Detection Method Based on Multi Scale Feature Weighted Fusion by Yanqiu Niu, Jing Zhang

“…To address challenges such as large-scale variations, background interference, and occlusions in multi-task autonomous driving perception, this paper proposes YOLOP-MVF, a multi-task detection framework based on multi-scale feature weighting fusion. …”
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Application of Distributed Acoustic Sensing in Anchor Damage Monitoring on Submarine Cables by ZHANG Hong, WU Mingnian, WANG Daogen, MU Zhangjian, XIE Shuhong, WU Zhengming, LI Songlin, CHEN Qingqing

“…【Results】Simulation experiments demonstrate significant differences in morphological feature curves between normal interference and simulated anchor damage events. …”
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YOLO-Ssboat: Super-Small Ship Detection Network for Large-Scale Aerial and Remote Sensing Scenes by Yiliang Zeng, Xiuhong Wang, Jinlin Zou, Hongtao Wu

“…YOLO-ssboat integrates the C2f_DCNv3 module to extract fine-grained features of small vessels while mitigating background interference and preserving critical target details. …”
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SGNet: A Structure-Guided Network with Dual-Domain Boundary Enhancement and Semantic Fusion for Skin Lesion Segmentation by Haijiao Yun, Qingyu Du, Ziqing Han, Mingjing Li, Le Yang, Xinyang Liu, Chao Wang, Weitian Ma

“…Segmentation of skin lesions in dermoscopic images is critical for the accurate diagnosis of skin cancers, particularly malignant melanoma, yet it is hindered by irregular lesion shapes, blurred boundaries, low contrast, and artifacts, such as hair interference. Conventional deep learning methods, typically based on UNet or Transformer architectures, often face limitations in regard to fully exploiting lesion features and incur high computational costs, compromising precise lesion delineation. …”
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Fault Feature Extraction Based on Variational Modal Decomposition and Lifting Wavelet Transform: Application in Gear of Mine Scraper Conveyor Gearbox by Zhengxiong Lu, Linyue Li, Chuanwei Zhang, Shuanfeng Zhao, Lingxiao Gong

“…The minimum entropy value is used to set the sensitive parameters involved in lifting wavelet transform, and the power supply current frequency and noise interference information of a scraper conveyor are removed from the current signal. …”
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MFSE-TransUNet: A Thyroid Nodule Ultrasound Image Segmentation Network Integrated With Dynamic Feature Calibration and Edge Enhancement by Ye Lu, Jiaojiao Jing, Wenbo Zhang, Yali Kong

“…However, its low resolution, high noise interference, numerous artifacts, and blurred boundaries make manual annotation time-consuming and highly subjective. …”
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