PhyloScape: interactive and scalable visualization platform for phylogenetic trees by Jiajia Wang, Bo Zhang, Linglu Zheng, Yan Chen, Chunyang Zhang, Guojiao Lin, Zhen Meng, Xuezhi Wang, Yuanchun Zhou

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Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet by Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen

“…Therefore, this paper proposes CBAM-Unet (Convolutional Block Attention Module-Unet), an improved network model for coal body fracture extraction based on U-Net. …”
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Radio- and Power-Over-Fiber Integration for 6G Networks: Challenges and Future Prospects by Leticia Carneiro de Souza, Victoria Dala Pegorara Souto, Arismar Cerqueira Sodre

“…The rapid evolution of wireless communication networks has fueled the demand for high-speed data transmission and low-latency connectivity. …”
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Triplet-Style Dynamic Graph Network With Transformer Encoder for Scam Detection in Cryptocurrency Transactions by Min-Woo Nam, Hyeon-Ju Lee, Seok-Jun Buu

“…These features enable TD-GCN to significantly bolster cryptocurrency security by effectively detecting scams and minimizing false positives in dynamic transaction networks.…”
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

“…In this paper, we employed high-resolution synthetic aperture radar (SAR) satellite imagery and proposed an oriented ice eddy detection network (OIEDNet) framework to conduct automated detection and spatiotemporal analysis of ice eddies in the Nordic Seas. …”
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Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

“…Within this architecture, both intra-frame static attention and inter-frame dynamic attention mechanisms are utilized to derive attention weights across image channels, thereby effectively capturing the temporal evolution of time series images. This approach enhances the network’s capacity to comprehend local spatial features alongside global temporal dynamics. …”
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Information Security and Individual Privacy in Social Networks“Kurdish Users” as a Case Study by Hardawan Mahmoud Kakashekh, Nawzad Jamal Hamafaraj, Raber Talaat Jwahar

“…These exposure and availability are not covered by organizations, official agencies, or application development companies only but by subscribers and users of social networks. The paradox is in this era of technological domination, “transparency” phenomena are a distinctive feature. …”
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Spatiotemporal patterns of accumulation and surface roughness in interior Greenland with a GNSS-IR network by D. J. Pickell, R. L. Hawley, A. LeWinter

“…For the first time, we also validate GNSS-IR sensitivity to meter-scale surface heterogeneities such as sastrugi, and we construct a time series of surface roughness evolution that suggests a seasonal pattern of heightened wintertime roughness features in this region. …”
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Epidemiological, molecular, and evolutionary characteristics of G1P[8] rotavirus in China on the eve of RotaTeq application by Rui Peng, Rui Peng, Mengxuan Wang, Saleha Shahar, Guangping Xiong, Qing Zhang, Lili Pang, Hong Wang, Xiangyu Kong, Dandi Li, Zhaojun Duan

“…IntroductionThis study, conducted in China prior to RotaTeq’s launch, examined the epidemiological, molecular, and evolutionary features of the G1P[8] genotype RVA in children admitted with diarrhea, to aid in evaluating its efficacy and impact on G1P[8] RVA in China.MethodsData from the Chinese viral diarrhea surveillance network were collected from January 2016 to December 2018. …”
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Template switching during DNA replication is a prevalent source of adaptive gene amplification by Julie N Chuong, Nadav Ben Nun, Ina Suresh, Julia Cano Matthews, Titir De, Grace Avecilla, Farah Abdul-Rahman, Nathan Brandt, Yoav Ram, David Gresham

“…Copy number variants (CNVs) are an important source of genetic variation underlying rapid adaptation and genome evolution. Whereas point mutation rates vary with genomic location and local DNA features, the role of genome architecture in the formation and evolutionary dynamics of CNVs is poorly understood. …”
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Machine learning approaches for predicting the link of the global trade network of liquefied natural gas. by Pei Zhao, Hao Song, Guang Ling

“…This study employs complex network theory to illustrate the characteristics of nodes and edges, as well as the evolution of global LNG trade networks from 2001 to 2020. …”
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Handover decision with multi-access edge computing in 6G networks: A survey by Saeid Jahandar, Ibraheem Shayea, Emre Gures, Ayman A. El-Saleh, Mustafa Ergen, Mohammad Alnakhli

“…Multi-Access Edge Computing (MEC) is a key technology in the evolution of mobile networks, especially for fifth and sixth generation (5G and 6G). …”
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Automated on-site broiler live weight estimation through YOLO-based segmentation by Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El-Messery, Tarek Abd El-Hafeez, Mohamed F. Abdelshafie, Gomaa G. Abd El-Wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel

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MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction by Feng Gao, Jiaen Fei, Yuankang Ye, Chang Liu

“…The core module of this network, Multi-scale Spatiotemporal Attention (MSSTA), decomposes large kernel convolutions from multi-scale perspectives, capturing spatial feature information at different scales, and focuses on the evolution of multi-scale spatial features over time, encompassing both global smooth changes and local abrupt changes. …”
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Uncovering the Damage Mechanism of Different Prefabricated Joint Inclinations in Deeply Buried Granite: Monitoring the Damage Process by Acoustic Emission and Assessing the Micro-E... by Wen Liu, Yingkang Yao, Yize Kang, Xiaojun Ma, Fuquan Ji, Ang Cao, Yuanyuan Wang, Nan Jiang

“…Three-dimensional X-CT technology was used to analyze post-damage fracture evolution in specimens with varying joint inclinations. …”
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A Fractal and Numerical Simulation Coupled Study of Fracture Network during Coal Mining Excavation by Yanan Gao, Feng Gao, Man-chu Ronald Yeung

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MMAR-Net: A Multi-Stride and Multi-Resolution Affine Registration Network for CT Images by Fu Zhou, Fei Luo, Ruoshan Kong, Yi-Ping Phoebe Chen, Feng Liu

“…The evolution of lung lesions can be assessed by examining multiple CT screenings, which needs to align two CT images accurately. …”
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A Fault Early Warning Method of Train BatteryBased on Real-time Network Data by XU Yong, LIU Yong, DAI Jisheng, ZHANG Shiqiang

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Spatiotemporal fusion knowledge tracking model based on spatiotemporal graph and fourier graph neural network by Yinquan Liu, Weidong Ji, Guohui Zhou

“…The model constructs spatiotemporal graphs by integrating information from the time dimension and the spatial dimension through information extracted from the cognitive and behavioral perspectives, resolves the compatibility problem between the two, and processes spatiotemporal dependencies features in the frequency domain through Fourier Graph Neural Network (FourierGNN) to capture complex spatiotemporal relationships, and improve computational efficiency and accurate modeling of spatiotemporal features. …”
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A Dynamic Multi-Graph Convolutional Spatial-Temporal Network for Airport Arrival Flow Prediction by Yunyang Huang, Hongyu Yang, Zhen Yan

“…It enables the proposed model to dynamically capture informative spatial correlations according to the input traffic features. In the temporal dimension, an enhanced self-attention mechanism is utilized to mine the arrival flow evolution patterns. …”
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