Research progress of breast cancer surgery during 2010–2024: a bibliometric analysis by Jiawei Kang, Nan Jiang, Munire Shataer, Tayier Tuersong

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Policy and newly confirmed cases universally shape the human mobility during COVID-19 by Li Kehan, Li Chao, Xiang Yinfeng, He Fengxiang, He Shibo, Chen Jiming, Fang Yi, Sun Youxian

“…Understanding how human mobility pattern changes during the COVID-19 is of great importance in controlling the transmission of the pandemic. …”
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A "spike-based" grammar underlies directional modification in network connectivity: effect on bursting activity and implications for bio-hybrids systems. by Letizia Zullo, Michela Chiappalone, Sergio Martinoia, Fabio Benfenati

“…We show that tailoring the stimulation pattern upon a neuronal spike timing induces the network to respond stronger and more precisely to the stimulation. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…These findings highlight SegFormer’s superior ability to capture complex spatial patterns, even in relatively low-resolution (60 cm) datasets. …”
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Distributed denial-of-service (DDoS) on the smart grids based on VGG19 deep neural network and Harris Hawks optimization algorithm by Abdurahim Alhashmi, H. Idwaib, Selçuk Alparslan Avci, Javad Rahebi, Raheleh Ghadami

“…The suggested approach uses the robust feature extraction capability of VGG19-DNN for network traffic pattern analysis to detect abnormal traffic flows indicative of DDoS attacks. …”
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Estimating nesting habitat characteristics for the Kentish plover (Anarhynchus alexandrinus) with the effect of substrate and vegetation using a Bayesian network approach. by Dong-Yun Lee, Ju-Hyun Lee, Jong-Ju Son, Seung-Jun Oh, Ha-Cheol Sung

“…The conservation of shorebird populations thus necessitates understanding the utilization pattern of artificial coastal habitats by these birds. …”
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Evolution and vulnerability of the trade network structure of China’s petrochemical industry chain: Based on a comparative perspective between China and the US by GUO Jianke, YANG Jiaming, PENG Fei, LUO Hao, ZHAO Liangshi

“…The trade partner structure expanded from an Asia-centered pattern to a global network, with continuous optimization of the industry chain trade network. …”
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EEG feature extraction methods in motor imagery-based brain-computer interfaces: a systematic review and network meta-analysis by Jiahao Cheng, Peng Chen, Yufeng Deng, Yi Luo, Fengyan Chen, Jiwang Ma, Fei Wang, Fen Xu, Sheng Guo, X. San Liang, Tao Zhang

“…The Common Spatial Pattern (CSP) method remains the most common single method, often integrated into hybrids. …”
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Comparison of the effects of different teaching methods on the effectiveness of teaching neurology in China: a bayesian network meta-analysis and systematic review by Xiangyu Li, Longsheng Zhang, Wenjun Sun, Min Lei, Ying Li, Jiacheng Zhang, Xing Huang

“…The quality of the included studies was evaluated, and the data were analyzed in R 4.3.2 and Stata 17.0 software. …”
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Integrating weighted gene co-expression network analysis and machine learning to elucidate neural characteristics in a mouse model of depression by Jinli Gao, Qinglang Wang, Jie Liu, Siqian Zheng, Jiahong Liu, Zhiyong Gao, Cheng Zhu

“…WGCNA was employed to construct gene co-expression networks and explore associations between modules and depression-like behavioral phenotypes. …”
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OculusNet: Detection of retinal diseases using a tailored web-deployed neural network and saliency maps for explainable AI by Muhammad Umair, Jawad Ahmad, Oumaima Saidani, Mohammed S. Alshehri, Alanoud Al Mazroa, Muhammad Hanif, Rahmat Ullah, Muhammad Shahbaz Khan

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Estimating lateral nitrogen transfers over the last century through the global river network using a land surface model by M. Ma, H. Zhang, R. Lauerwald, P. Ciais, P. Regnier

“…We developed a new model of this aquatic system, called LSM_Nlateral_Off (Land Surface Model Nitrogen lateral Offline), which simulates the routing of water in rivers, and the pertaining transport of dissolved inorganic N (DIN), dissolved organic N (DON), and particulate organic N (PON) as well as the accompanying biogeochemical processes of DON and PON decomposition and denitrification during transit from land to oceans through the global river network. Evaluation against global observation-based datasets shows that the model effectively captures both the magnitude and seasonal variations in riverine water discharges and total nitrogen (TN) flows. …”
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Incremental dynamic community discovery algorithm based on multi-core nodes by Jing CHEN, Zhijun LIU, Xinyu YANG, Mingxin LIU, Miaomiao LIU

“…A new incremental dynamic community discovery algorithm MCNIDCD based on multiple core nodes was proposed to address challenges in dynamic community discovery.It adapted to sudden events like the emergence or disappearance of communities during evolution.MCNIDCD categorized core nodes into diffusion and cohesion types, and devised four incremental updating strategies.It adjusted node community membership locally and optimized community structure using an incremental modularity method to facilitate community merging.Evaluation on artificial and real networks shows MCNIDCD’s high conformity to community evolution patterns.In real network experiments, MCNIDCD exhibits a 28% average improvement in modularity performance and significant stability advantages.Its superiority is important for studying dynamic community evolution.…”
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Evaluating trauma care, outcomes and costs in a system in crisis: the necessity of a Greek National Trauma Database by Apostolos Prionas, George Tsoulfas, Andreas Tooulias, Apostolos Papakoulas, Athanasios Piachas, Vasileios Papadopoulos

“…The objective of this study was to record and evaluate trauma management at our university hospital and to measure the associated healthcare costs, while laying the foundations for a national database and the organization of regional trauma networks.Methods Retrospective study of trauma patients (n=2320) between 2014 and 2015, through our single-center registry. …”
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Neuroradiological Evaluation of Anatomo-Morphometric Arcuate Fascicle Modifications According to Different Brain Tumor Histotypes: An Italian Multicentric Study by Roberto Altieri, Andrea Bianconi, Stefano Caneva, Giovanni Cirillo, Fabio Cofano, Sergio Corvino, Oreste de Divitiis, Giuseppe Maria Della Pepa, Ciro De Luca, Pietro Fiaschi, Gianluca Galieri, Diego Garbossa, Giuseppe La Rocca, Salvatore Marino, Edoardo Mazzucchi, Grazia Menna, Antonio Mezzogiorno, Alberto Morello, Alessandro Olivi, Michele Papa, Daniela Pacella, Rosellina Russo, Giovanni Sabatino, Giovanna Sepe, Assunta Virtuoso, Giovanni Vitale, Rocco Vitale, Gianluigi Zona, Manlio Barbarisi

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Enhancing MANET Security Through Federated Learning and Multiobjective Optimization: A Trust-Aware Routing Framework by Saad M. Hassan, Mohd Murtadha Mohamad, Farkhana Binti Muchtar, Firoz Bin Yusuf Patel Dawoodi

“…We evaluate this framework against existing protocols across various scenarios, including different network densities, mobility patterns, and malicious node percentages. …”
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Environmental Justice in the 15-Minute City: Assessing Air Pollution Exposure Inequalities Through Machine Learning and Spatial Network Analysis by Feifeng Jiang, Jun Ma

“…By integrating street-level PM2.5 predictions with spatial network analysis, this research evaluates exposure patterns that more accurately reflect residents’ daily mobility experiences. …”
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DSGAU: Dual-Scale Graph Attention U-Nets for Hyperspectral Image Classification With Limited Samples by Hongzhuang Ji, Leying Song, Zhaohui Xue, Hongjun Su

“…Graph convolutional networks (GCNs) exhibit remarkable capabilities in hyperspectral image (HSI) classification tasks, primarily due to their ability to establish long-range pixel correlations. …”
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PIONet: A Positional Encoding Integrated Onehot Feature-Based RNA-Binding Protein Classification Using Deep Neural Network by Mahmood A. Rashid, Mayank Chaturvedi, Kuldip K. Paliwal

“…The positional encoding enables the model to effectively learn inter-nucleotide dependencies within the sequence, making it highly suitable for capturing the intricate patterns associated with RBPs. Our model has been evaluated on 24 benchmark datasets, collectively referred to as RBP-24, demonstrating significant improvements in classification accuracy and robustness compared to the state-of-the-art methods. …”
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Evaluation of Morphometric Factors on the Distribution of Debris: A Case Study on the Attica Ripples on the South of Paveh- Kermanshah Province, Iran by Mohammad Ahmadi

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