Hybrid deep learning framework for robust time-series classification: Integrating inception modules with residual networks by Duong Thi Kim Chi, Nguyen Thi Mai Trang, Tran Ba Minh Son, Nguyen Ngoc Thao, Thanh Q. Nguyen

“…By replacing the fully convolutional network (FCN) shortcut module in InceptionFCN with ResNet-50, the model gains deeper representational capacity and improved gradient flow during training. …”
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An active shrinkage and antioxidative hydrogel with biomimetic mechanics functions modulates inflammation and fibrosis to promote skin regeneration by Tao Zhang, Xin-Cao Zhong, Zi-Xuan Feng, Xiao-Ying Lin, Chun-Ye Chen, Xiao-Wei Wang, Kai Guo, Yi Wang, Jun Chen, Yong-Zhong Du, Ze-Ming Zhuang, Yong Wang, Wei-Qiang Tan

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How diffusivity, thermocline and incident light intensity modulate the dynamics of deep chlorophyll maximum in Tyrrhenian Sea. by Davide Valenti, Giovanni Denaro, Bernardo Spagnolo, Fabio Conversano, Christophe Brunet

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Improvement on Direct Modulation Responses and Stability by Partially Corrugated Gratings Based DFB Lasers With Passive Feedback by Siti Sulikhah, San Liang Lee, Hen Wai Tsao

“…DFB lasers with ultrashort cavities or integrated DFB lasers with passive waveguide reflectors are frequently proposed to realize directly modulated lasers (DMLs) for carrying ultrahigh data rate signals. …”
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Moderate P Fertilizer Promotes Cucumber Yields and Modulates Bacterial Community in the Wheat Cover Crop System by Kunpeng Cao, Linlin Zhang, Asad Ullah, Musawar Ibrahim, Yu Zhang, Danmei Gao, Xingang Zhou, Fengzhi Wu, Shouwei Liu

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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…However, when processing surface electromyography data, current deep learning models still face challenges, such as insufficient effective feature extraction, poor performance in multi-gesture recognition, and low accuracy in recognizing sparse surface electromyography.MethodsTo address these issues, this study proposed a multi-stream adaptive convolutional neural networks with residual modules (MSACNN-RM) for surface electromyography gesture recognition, which integrates multiple streams of convolutional neural networks, adaptive convolutional neural networks, and residual modules to enhance the model’s feature extraction and learning capabilities. …”
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Individual Differences in Global Cognition Modulate the Effect of Motor-Relatedness on Object Naming in Healthy Older Adults by Yang Xiao, Yanping Dong

“…However, it remains unclear whether this motor-relatedness effect can reduce older adults’ object naming latency (a potentially more sensitive measure of word retrieval than accuracy) and how it may be modulated by individual differences (e.g., age and global cognition). …”
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Modulating autism spectrum disorder pathophysiology using a trace amine-focused approach: targeting the gut by L. Pretorius, J. A. Coetzee, A. P. dos Santos, C. Smith

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Implementation of a sensory modulation intervention in mental health outpatient services: a process evaluation study by Klara Forsberg, Daniel Sutton, Sigrid Stjernswärd, Ulrika Bejerholm, Elisabeth Argentzell

“…However, managers’ and staff reflections also highlighted the need for an adapted manual for people with cognitive issues and more education for staff. Conclusions This study contributed to new knowledge of implementing a recovery-oriented sensory modulation intervention in mental health outpatient services. …”
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Different action of glucocorticoid receptor in adipose tissue remodelling to modulate energy homeostasis by chronic restraint stress by Yinghua Luo, Qinyu Liu, Yaqian Mao, Junping Wen, Gang Chen

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Employing splice-switching oligonucleotides and AAVrh74.U7 snRNA to target insulin receptor splicing and cancer hallmarks in osteosarcoma by Safiya Khurshid, Akila S. Venkataramany, Matias Montes, John F. Kipp, Ryan D. Roberts, Nicolas Wein, Frank Rigo, Pin-Yi Wang, Timothy P. Cripe, Dawn S. Chandler

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MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals by M. Maithri, U. Raghavendra, Anjan Gudigar, Samir Kumar Praharaj, Karthikeyan Sriram, Massimo Salvi, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya

“…To address these challenges, we propose MLAR-Net, a novel multilevel attention module for emotion recognition using single-channel EEG signals. …”
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Foreign object detection for mining conveyor belts based on YOLOv5n-CND by SUN Aoran, ZHAO Peipei, YANG Di, ZHANG Junyi, YU Hongjian

“…First, the C2f module was used to optimize the feature pyramid, using fewer parameters to address the issue of poor sensitivity to small object detection caused by the complex background in foreign object images and interference from complex objects in underground environments. …”
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The Road Less Travelled: Exploring the Planning and Preparation for a Critical Social Justice Module by the University of Kwa-Zulu Natal, South Africa by Sebastian Sanjigadu

“…This qualitative study aimed to explore the journey of planning and preparation for the implementation of a Critical Social Justice and Citizenship (CSJ) module at the University of KwaZulu-Natal. Despite political democracy in South Africa, racial, sexist, gender, and cultural pathological issues persist. …”
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Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

“…The existing techniques have limitations such as neuron death issues, vanishing gradient, and output offset. To overcome these issues, this paper proposes a Deep Learning (DL)-based technique for early and accurate DR detection. …”
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Res50-SimAM-ASPP-Unet: A Semantic Segmentation Model for High-Resolution Remote Sensing Images by Jiajing Cai, Jinmei Shi, Yu-Beng Leau, Shangyu Meng, Xiuyan Zheng, Jinghe Zhou

“…The methodology part analyzes the common ResNet model, the attention mechanism module, and the multi-scale feature extraction module, respectively, and then designs experiments to show the necessity and optimal position of adding Res50, SimAM, and ASPP. …”
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IGFBP2 Modulates Trophoblast Function and Epithelial–Mesenchymal Transition in Preeclampsia via the PI3K/AKT Signaling Pathway by Shengping Meng, Yanping Qin, Chunyan Lyu, Sumei Wang

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Oncogene OSTM1 Promotes Gastric-Cancer Metastasis by Modulating the Metastatic Microenvironment Through Altered Tumor-Cell Autocrine Signaling by Yucheng Tang, Yi Guo, Jiangyi Feng, Ziwei Wang

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Effect of phytase supplementation on plasma and organ myo-inositol content and erythrocyte inositol phosphates as pertaining to breast meat quality issues in chickens by H. Whitfield, C. Laurendon, S.J. Rochell, S. Dridi, S.A. Lee, T. Dale, T. York, I. Kuehn, M.R. Bedford, C.A Brearley

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Research on Current-fed Switched-capacitor-based Multiple Modular DC Transformerand Its Optimized Modulation Strategy by SUN Qianhao, LI Yalou, MENG Jingwei, ZHAO Biao, MU Qing, ZHANG Xing

“…Based on DAM, the HFL voltages of CFSC-DCT is always under the matching state and the HFL current stress can be optimized, solving the issue of DC terminal voltages mismatch caused by the traditional square-wave modulation, and improving the efficiency and economic benefit of DC transformer and MVDC power grid.…”
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