Speech Emotion Recognition Using Multi-Scale Global–Local Representation Learning with Feature Pyramid Network by Yuhua Wang, Jianxing Huang, Zhengdao Zhao, Haiyan Lan, Xinjia Zhang

“…To address these challenges, this paper proposes a novel multi-scale feature pyramid network. The enhanced multi-scale convolutional neural networks (MSCNNs) significantly improve the ability to extract multi-granular emotional features. …”
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FAULT DIAGNOSIS OF GEARBOX UNDER VARIABLE WORKING CONDITION BASED ON WEIGHTED SUBDOMAIN ADAPTIVE ADVERSARIAL NETWORK by ZHANG Huiyun, ZUO Fangjun, YU Xi, YANG Ting

“…Subsequently, a self-calibrated convolutions network (SCNet) incorporating an efficient channel attention (ECA) mechanism acted as a feature extractor, dynamically adjusting the interactions and dependencies between multi-source heterogeneous signals to balance the scale differences between the source and target domain heterogeneous data. …”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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Accurate multi-category student performance forecasting at early stages of online education using neural networks by Naveed Ur Rehman Junejo, Muhammad Wasim Nawaz, Qingsheng Huang, Xiaoqing Dong, Chang Wang, Gengzhong Zheng

“…Abstract The ability to accurately predict and analyze student performance in online education, both at the outset and throughout the semester, is vital. …”
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Carbon Sequestration Strategies in Regenerative Agricultural Systems by Leveraging Wireless Sensor Networks for Precision Carbon Management by Al-Jawahry Hassan M., AI_Sadi Hafidh l., Rajasekhar Boddu

“…Regenerative agricultures systems are vital mechanisms to combat climate change and have the ability to help sequester carbon at a scale that is much larger than any current effort could do. …”
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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

“…To address these challenges, this paper proposes a multi-module fusion prediction model—TSMixer-BiKSA network—that integrates multi-feature inputs, Variational Mode Decomposition (VMD), and a dual-branch parallel architecture for 1- to 3-day-ahead multi-step forecasting of new COVID-19 cases. …”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Furthermore, we demonstrated that student models do not need to be neural networks. Even non-neural models can learn from a neural network teacher. …”
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Angiogenesis Dynamics: A Computational Model of Intravascular Flow Within a Structural Adaptive Vascular Network by Sahar Jafari Nivlouei, Ana Guerra, Jorge Belinha, Naside Mangir, Sheila MacNeil, Christiane Salgado, Fernando Jorge Monteiro, Renato Natal Jorge

“…Methods: To address this limitation, the current study develops a novel two-dimensional mathematical model of angiogenesis, integrating discrete and continuous modelling approaches to capture intricate cellular interactions and provide detailed information about the capillary network’s structure. …”
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Exploring the Mechanisms of Lijin Fang on Treg/Th17 Cell Imbalance in COPD Based on Network Pharmacology by Li ZH, Chen SN, Pan L, Liu R, Liang W, Luo MQ, Liao HF, Feng J, Wang HZ, Huang YG, Zheng JH

“…Molecular docking results indicated stable interactions between IL-10 and BIRC3 with the constituents of LJF.Conclusion: This study highlights LJF’s anti-inflammatory potential in restoring the Treg/Th17 balance and regulating cytokine expression in COPD.Keywords: COPD, LJF, Treg/Th17, network pharmacology…”
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Transcription factor networks and novel immune biomarkers reveal key prognostic and therapeutic insights in ovarian cancer by Aiqin Zhao, Sufang Zhou, Xiaoyi Yang, Haiying Lu, Dan Zou, Xuan Zhang, Li Liu

“…Conclusion Based on TF regulatory networks in the tumor microenvironment, this study developed a 9-gene risk model for the prognosis of ovarian cancer. …”
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Coupling research on employment centers and their service area with rail transit network-a case study of Shanghai, China by Wang Jun-Li, Hu Gang-Yu, Huang Jian-Zhong, Zhang Tian-Ran, Wang Jing-Xin

“…It analyzes the external spatial coupling patterns and internal interaction mechanisms among employment centers, their service areas, and the rail transit network. …”
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Reacting Like Humans: Incorporating Intrinsic Human Behaviors Into NAO Through Sound-Based Reactions to Fearful and Shocking Events for Enhanced Sociability by Ali Ghadami, Mohammadreza Taghimohammadi, Mohammad Mohammadzadeh, Mohammad Hosseinipour, Alireza Taheri

“…As robots increasingly enter human-centered environments, the ability to exhibit natural, emotionally resonant behaviors becomes crucial for effective interaction. …”
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Network pharmacology combined with molecular docking and experimental validation of the mechanism of action of columbianetin acetate in the treatment of ovarian cancer by Mengling Hu, Luyao Wang, Feiyue Zhang, Yiluo Xie, Tingting Zhang, Hongli Liu, Zhenghong Li, Jing Zhang

“…The STRING database to obtain protein-protein interaction (PPI) network. Then key targets were obtained using Cytoscape software, followed by expression, survival and ROC diagnostic analyses of core genes using R software. …”
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Extraction and Recognition of Color Feature in true Color Images Using Neural Network Based on Colored Histogram Technique by Orjuwan Aljawadi

“…In this research, a neural network using backpropagation (BPNN) algorithm was trained and learned to work as the cone cells in human eyes to recognize the three fundamental cells’ colors and hues, as the neural network showed good results in training and testing the color feature  it was trained and learned again to recognize two nature scenes images ; Red sunset and Blue sky images where both scenes images contain color interaction and different hues such as red-orange and blue-violet. …”
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Network pharmacology and molecular analysis of mechanisms underlying the therapeutic effects of Rhubarb in treating atherosclerosis and abdominal aortic aneurysm by Huilin Xu, Jun Huang, Youjie Zeng, Xia Wang, Huilin Lian, Siyi Zhang, Ren Guo

“…Protein-protein interaction (PPI) networks for the core targets were constructed using the STRING database. …”
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A Novel Approach for Visual Speech Recognition Using the Partition-Time Masking and Swin Transformer 3D Convolutional Model by Xiangliang Zhang, Yu Hu, Xiangzhi Liu, Yu Gu, Tong Li, Jibin Yin, Tao Liu

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Network toxicology and molecular docking reveal key mechanisms of domoic acid neurotoxicity with bio-layer interferometry validation by Dongyao Wang, Yiping Liu, Shitao Chen, Diya Lv, Yuxiao Tang, Yan Liu, Wen Yang, Hui Shen, Lianghua Wang, Feng Lu

“…The study aims to promote a network toxicology strategy to efficiently investigate the underlying neurotoxicity molecular mechanisms of domoic acid（DA）, which is one of the main toxins of paralytic amnesic shellfish poisoning and has gained significant attention due to its ability to induce neurotoxicity. …”
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Unveiling Isorhapontigenin’s therapeutic potential in lung cancer via integrated network pharmacology, molecular docking, and experimental validation by Zhiyu Wu, Chengyu Hou, Qiulin Zhu, Zixia Huang, Zesheng Lu, Chunhui Shen, Zhenhui Wang, Yanzhong Liu, Yanfen Kang, JiYong Wang

“…Then, evaluated the binding ability between Isorhapontigenin and key targets by using molecular docking strategies. …”
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Porous Hydrogels from Nanoemulsion Templates With Different Structures by Zahra Abbasian Chaleshtari, Babak Valipour Goodarzi, Reza Foudazi

“…Certain attributes, including but not limited to the ability to tune droplet size, volume fraction, and interdroplet interactions, provide tools to precisely manipulate the structure of nanoemulsions. …”
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Modified Okara improves Noodle Properties: Effects on digestibility, structure, and functionality by Guohong Tian, Meidan Li, Shuqi Xing, Laping He, Cuiqin Li, Shunbin Qiao, Ye Yuan, Taixun Luo

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