The Frmpd3 Protein Regulates Susceptibility to Epilepsy by Combining with GRIP and GluA2 by Yan Jia, Jinqiong Zhan, Pengcheng Huang, Xiaobing Li, Daojun Hong, Xi Lu

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Synergistic Anti-Inflammatory Effects of Pomegranate Peel–Hawthorn Combinations in Ulcerative Colitis: Network Pharmacology Prediction and Experimental Validation by Shouqing Zhang, Quanyuan Qiu, Mengzhen Yuan, Jiajia Yu, Weiwei Gao, Xi Wang, Zhen Liu, Peng Yu, Cen Xiang, Yuou Teng

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Four weeks of slow-paced breathing: a longitudinal, randomized, placebo-controlled study of the autonomic nervous system by Nicolas Bourdillon, Arnaud Rochat, Vanessa Hoop, Grégoire P. Millet

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Characterization of Netrin-1 and Its Receptors UNC5B and Neogenin-1 in a Rat Rotator Cuff Tear Model: Associations with Inflammatory Mediators and Neurite Extension by Kosuke Inoue, Kentaro Uchida, Mitsuyoshi Matsumoto, Ryo Tazawa, Etsuro Ohta, Akito Hattori, Tomonori Kenmoku, Yuka Ito, Yui Uekusa, Gen Inoue, Masashi Takaso

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Contextualization of Training Input in Multi-Level Replication and Scaling-up Approach in EFL Teacher-Training by Hazel Acosta, Diego Cajas, Elizabeth Minchala

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The impact of gut microbiota on mental health by Neska Aleksandra, Kedzierska Ewa, Gibula-Tarlowska Ewa

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Socio-Adaptive Dimension of Students’ Personal Space by Iryna Havryliuk

Mandating a Culture of Service: Pro Bono in the Law School Curriculum by Les A McCrimmon

“…An important educational issue in legal higher education is the integration of skills into the undergraduate curriculum.1 This raises a whole series of questions including: What are these skills? …”
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Multi-Task Retrieval of Sea Ice Based on GNSS-R: An Integrated Framework Guided by Semi-Supervised Anomaly Detection by Dan Ma, Yuan Gao, Chunping Hou, Menglong Li, Yang Yang

“…This dual-module approach within a single network structure not only facilitates simultaneous execution of SID and SICR tasks but also effectively addresses and resolves the issue of structural redundancy. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…First, a new multi-scale group convolution (MSGConv) is designed and integrated into the C2f module to construct the MSG-C2f feature extraction module. …”
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YOLO-CSMD: Integrating Improved Convolutional Techniques for Manhole Cover Defect Detection by Zhiwang Xu, Haowei Luo, Huijie Zhu, Wanfa Sun, Shengying Yang

“…Recent detection algorithms for manhole cover defects exhibit limited detection capabilities, which frequently encounter the issue of missed detection. To address this issue, this paper proposes an improved detection algorithm based on YOLOv8, called YOLO-CSMD. …”
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An algorithm for road target detection of autonomous vehicles based on improved YOLOv8 by Jianping Gao, Haotian Li, Zhe Li, Chengwei Xie, Xiaolei Ji, Yuzhuo Zhang

“…Aiming at the problems of near-target error detection and remote target missing detection in road target detection of autonomous vehicles, an improved road target detection algorithm YOLOv8-RTDAV based on YOLOv8n was proposed. To address the issue of false alarms caused by close-range overlapping road targets, we propose a new C2f module, C2f-EFB, which combines an efficient channel attention (ECA) mechanism. …”
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Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network by Huang Xiao, Hanqing Jian

“…However, the negative impact of covariate shifts among data channels on diagnostic accuracy is an issue that is often overlooked in data-driven algorithms based on multi-channel data. …”
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Efficient fault diagnosis in rolling bearings lightweight hybrid model by Peng Yang, Bozheng Zhang, Jianda Zhao

“…Considering the rich temporal features present in vibration signals, a Long Short-Term Memory (LSTM) module is introduced in parallel to the encoder module of the improved lightweight Transformer model. …”
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Micro-expression recognition method based on progressive attention by ZHAN Ziwei, SUN Zhaocai, LI Xiang, WU Zhendong

“…The network integrates a multi-scale convolutional module and a progressive attention module. First, the multi-scale convolutional module is used to learn fine-grained features from different receptive fields, extracting rich details. …”
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TGF-Net: Transformer and gist CNN fusion network for multi-modal remote sensing image classification. by Huiqing Wang, Huajun Wang, Linfen Wu

“…In order to address the issue of representing the relative positions of spatial targets in synthetic aperture radar (SAR) images, we proposed a spatial feature extraction module called gist-based spatial feature extraction module (GSFEM). …”
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A Framework for Predicting Winter Wheat Yield in Northern China with Triple Cross-Attention and Multi-Source Data Fusion by Shuyan Pan, Liqun Liu

“…This framework consists of three modules: a multi-source data processing module, a multi-source feature fusion module, and a yield prediction module. …”
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Small object detection in complex open-pit mine backgrounds based on improved YOLOv11 by ZHU Yongjun, CAI Guangqi, HAN Jin, MIAO Yanzi, MA Xiaoping, JIAO Wenhua

“…The improved YOLOv11 model introduced a Robust Feature Downsampling (RFD) module to replace the stride convolution downsampling module, effectively preserving the feature information of small objects. …”
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Towards artificial intelligence based rail driving assistance tool by Merlevede Jean-Valentin, Enjalbert Simon, Vanderhaegen Frédéric, Flammini Francesco

“…This framework is made up of several modules, each of which addresses a specific issue arising from the increased level of automation. …”
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Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification by Ping Li, Xiang Zhu

“…Therefore, the few-shot learning model is easily disturbed by class-irrelevant features, which results in a decrease in accuracy. To address this issue, we propose a task-oriented local feature rectification network (TLFRNet) with two feature rectification modules (support rectification module and query rectification module). …”
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