Survey on the visualization technologies of threatening security data in cyber space by Fan ZHANG, Fan XIE, Jie JIANG

“…With the rapid development of the cyber threatening methods,the requirements of network security data analysis become more and more imperative.Data visualization has already evolved as a requisite tool among all kinds of data analysis theory framework and applications,especially in the fields of scientific computation,business intelligence and cyber security.Threatening security data visualization provides various effective interaction means which improve the perception ability for the cyber security specialists to get a distinctive insight into the large amount of complicated cyber security problems.The state-of-art cyber security data visualization technologies were introduced.Some existing problems that were still challenging research topics were investigated.Some directions for future studies were outlined.…”
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Underwater Object Detection Method with Enhanced Wavelet Transform Features by Nan WEI, Wankou YANG, Weijie ZHOU, Longyu JIANG

“…These frequency domain feature components were then interactively enhanced using a frequency domain interaction module based on the attention mechanism designed in this work, optimizing the ability of feature expression. …”
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Digital education as a new pedagogical paradigm by Fatima Anzaurovna Tuguz

“…Key findings: the introduction of digital education into a university environment has been considered in two contexts: as a necessary content of education and as a means of teaching; the main features of digital education focus on consumer preferences, organization of rational user interaction, algorithmized interaction of its users, remote work with information resources, network interaction, etc.; infection for various consumer groups; the ability to operate on different means and compatibility with other applications; the prospects for digital education are the construction of an ergonomic communicative environment of an educational institution, the possession of digital competencies by all subjects of education; motivation of scientific and pedagogical personnel to work in a new educational environment, updating academic disciplines, etc.…”
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An fMRI study on the generalization of motor learning after brain actuated supernumerary robot training by Yuan Liu, Shuaifei Huang, Weiguo Xu, Zhuang Wang, Dong Ming

“…The findings suggest that BCI-SRF training enhances motor sequence learning ability by influencing the functional reorganization of sensorimotor network.…”
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Research on recommendation system based on knowledge graph and large language model enhancement by WANG Min, GAO Xiaoying, WANG Shirui, XIANG Yang

“…The core of recommendation system is user and commodity, the relationship between user and commodity can be abstracted as graph structure, so graph neural network has been widely used in recommendation field. …”
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The Crisis of US-centric Globalization: Causes, Trends and Scenarios of Development by A. A. Kasantzev, V. M. Sergeev

“…The increase of globalization processes stimulates the strengthening of the network interactions and saturation of it with resources. …”
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Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…In addition, the new state interaction method and the reward function allow the agents to collaborate with each other, which greatly improves the information interaction efficiency between the federated learning local agents and the central coordinator, and improves the access efficiency of the road network and reduces the amount of communication data transmitted. …”
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AfaMamba: Adaptive Feature Aggregation With Visual State Space Model for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo, Chanjuan Wang

“…Subsequently, the global-local Mamba structure combines the attention-optimized multiscale convolutional branches with the global branch of Mamba to facilitate effective interaction between global and local features. In addition, a lightweight CNN stem is introduced to extract shallow image features, enhancing the model's ability to capture spatial detail information. …”
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Integrated Bioinformatics Analysis to Screen Hub Gene Signatures for Fetal Growth Restriction by Jingjin Yang, Yuxin Liu, Minyue Dong

“…We downloaded FGR-related gene microarray data, used weighted gene co-expression network analysis (WGCNA), differentially expressed genes (DEGs), and protein-protein interaction (PPI) networks to screen hub genes. …”
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SDFA-Net: Synergistic Dynamic Fusion Architecture With Deformable Attention for UAV Small Target Detection by Yunsong Qi, Hengwei Cao

“…Second, the dynamic attention interaction mechanism (attention) is used to replace the traditional Attention-based Intrascale Feature Interaction (AIFI) module, which effectively alleviates the computational complexity problem and strengthens the feature interaction efficiency. …”
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Modern library and reading in multimedia environment by V. Ya. Askarova

“…The article identifies the library's ability to stimulate reader activity in the context of the multimedia culture development. …”
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Development of Mathematics Learning Methods Through E-Learning Media in SMP Amir Hamzah Medan by Muhammad Arif Hidayat, Marhan Hasibuan

“…This research aims to develop an e-learning-based method of learning mathematics through a network (computer network). The e-learning method in learning mathematics is intended to deliver a series of learning solutions that can attract learning interest, and increase knowledge and skills. …”
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Smart hydrogels for sensing and biosensing – Preparation, smart behaviours, and emerging applications – A comprehensive review by Devulapalli Revathi, Subhasree Panda, Kalim Deshmukh, Nisha Khotele, V.R.K. Murthy, S.K. Khadheer Pasha

“…Hydrogels are three dimensional (3D) crosslinked hydrophilic polymer network structures with an excellent stimulus sensitivity. 3D networks of hydrogels can absorb high amount of water in their crosslinked structures. …”
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Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…First, we incorporate the Efficient Channel Attention Network (ECANet) attention mechanism into the backbone network of YOLOv8, which improves the performance of small-target detection by adaptively enhancing the expressiveness of key features, so that the network possesses higher sensitivity and focus on tiny details in PCB images. …”
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YOLOv8-DEE: a high-precision model for printed circuit board defect detection by Feifan Yi, Ahmad Sufril Azlan Mohamed, Mohd Halim Mohd Noor, Fakhrozi Che Ani, Zol Effendi Zolkefli

“…Firstly, an improved backbone network incorporating depthwise separable convolution (DSC) modules is designed to enhance the network’s ability to extract PCB defect features. …”
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ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG May Serve as Diagnostic and Prognostic Biomarkers in Endometrial Carcinoma by Qiaoling Zhang, Yingmei Wang, Fengxia Xue

“…The Gene Ontology/Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis and protein-protein interaction (PPI) network were performed on those 203 DEGs. …”
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Application of a Quantitative Risk-Based Decision Tool for Local Railway Level Crossing Management by Alessandro Di Graziano, Vincenzo Marchetta

“…The framework was applied to 96 level crossings on an Italian local railway line, demonstrating its ability to support decision-making for targeted interventions as well as broader network-level actions, significantly improving system safety.…”
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Study on disaster-causing probability evaluation of gas pipeline in karst area. by Qiaochu Li, Peng Zhang

“…Based on the structural reliability theory, the vulnerability evaluation function of gas pipelines in karst areas is established by considering the interaction between disaster hazard intensity and disaster resistance ability. …”
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Based on BERT-GPT-GNN converged architecture: intelligent generation engine for complex SQL queries in business intelligence by Shiwei Chu, Jie Liu

“…Using BERT (Bidirectional Encoder Representations from Transformers) model for vectorized retrieval and GPT-4 (Generative Pre-trained Transformer 4) pre-trained model for generation, combined with GNN (Graph Neural Network) modeling database structure, the ability to generate complex queries is improved, and the semantic understanding ability of the model is iteratively optimized through user interaction and feedback mechanism. …”
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DFC-Net: Dual-Branch Collaborative Feature Enhancement for Cloud Detection in Remote Sensing Images by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

“…To this end, this article proposes a dual-branch co-optimization network (DFC-Net), which achieves cross-scale feature fusion and detail enhancement through the dual-branch interaction mechanism of global context modeling and local detail sensing. …”
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