Hodgkin lymphoma in children and adolescents: Advances in pathology, diagnosis, and treatment strategies by Adil Abdelhameed Abbas, Hatim Qasim Almaghraby

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A Real Data-Driven Clustering Approach for Countries Based on Happiness Score by Aditya Chakraborty, Chris P Tsokos

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Area extraction and growth monitoring of sugarcane from multi-source remote sensing images under a polarimetric SAR data compensation based on buildings by Yong Hong, Tianjin Xie, Lengkun Luo, Mi Wang, Deren Li, Qing Zhang, Ting Xu

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Caesarean Section Patterns Among PVTGs: A Comparative Analysis in Eastern India by Pradeep Kumar Panda, Rahul Sharma

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A transfer learning-based graph convolutional network for dynamic security assessment considering loss of synchronism of wind turbines and unknown faults by Sasan Azad, Mohammad Taghi Ameli, Amjad Anvari-Moghaddam, Miadreza Shafie-khah

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AFMF: adaptive fusion of multi-hop neighborhood features in graph convolutional network by Kang Liu, Xinyu Li, Lian Liu, Zhihao Xv, Aohang Pei, Runshi Ji

“…It adopts two different message passing strategies to aggregate node features of multi-hop neighbors, based on which weights are adaptively generated to fuse the aggregated node features for node classification. More specifically, we propose a multi-hop neighborhood feature extraction module (MNFE), which constructs multi-hop adjacency matrices with and without self-loops for extracting node features. …”
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An updated version of the SZ-plugin: From space to space–time data-driven modeling in QGIS by Giacomo Titti, Liwei Hu, Pietro Festi, Letizia Elia, Lisa Borgatti, Luigi Lombardo

“…The first version of the SZ-plugin attempted to mitigate this issue by offering a modeling solution within QGIS. …”
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Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

“…Online hate has emerged as a rapidly growing issue worldwide, often stemming from differences in opinion. …”
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A Retrospective Study of the Impact of the COVID-19 Pandemic on the Utilization and Quality of Antibiotic Use in a Tertiary Care Teaching Hospital in Low-Resource Settings by Vedrana Barišić, Tijana Kovačević, Maja Travar, Ana Golić Jelić, Pedja Kovačević, Dragana Milaković, Ranko Škrbić

“…The COVID-19 pandemic exacerbated this issue. This study aimed to evaluate long-term trends in antibiotic utilization in low-resource settings at a tertiary care teaching hospital, focusing specifically on the changes before, during, and after the COVID-19 pandemic. …”
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Statistical assessment of the activity of collective accommodation facilities and their contribution to the economy of the Russian Federation regions by V. N. Salin, M. V. Vakhrameeva, V. V. Narbut

“…In the paper, the authors considered definitions, classification, a system of indicators that form a methodological basis for statistical observation of the activity of collective accommodation facilities and their presentation in accordance with the current international and national statistical standards. …”
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THE INFLUENCE OF CONFLICTS ON THE STATE OF INTERNATIONAL SECURITY AND WAYS OF REGULATING GEOPOLITICAL TENSIONS by Olena A. Parshyna, Margaryta Yu. Parshyna, Tatiana V. Chumak, Liudmyla I. Yarmolenko

“…The formation of an analytical system for supporting strategic decision-making has been proposed in order to solve issues related to the settlement of international conflicts and the effective development of international relations. …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

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Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery by Yu Lin, Shuiyuan He, Weidong Luo

“…Abstract Long-tail distribution and open-set recognition remain significant challenges in sonar image classification. This study introduces Dynamic Margin Contrastive Learning (DMCL), a novel framework that simultaneously addresses both issues through adaptive margin adjustment and uncertainty-aware feature learning. …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…This versatile method is widely applicable across numerous industries, including marine and auto-motive sectors.MethodReal-time tool condition monitoring is essential for businesses to identify and address issues before they escalate into costly failures or product defects. …”
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Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition by Maryam Assafo, Peter Langendoerfer

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DLPLSR: Dual Label Propagation-Driven Least Squares Regression with Feature Selection for Semi-Supervised Learning by Shuanghao Zhang, Zhengtong Yang, Zhaoyin Shi

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PolSAR-SFCGN: An End-to-End PolSAR Superpixel Fully Convolutional Generation Network by Mengxuan Zhang, Jingyuan Shi, Long Liu, Wenbo Zhang, Jie Feng, Jin Zhu, Boce Chu

“…Polarimetric Synthetic Aperture Radar (PolSAR) image classification is one of the most important applications in remote sensing. …”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…The inability to perceive issues early is sufficient for quick treatment, and the resemblance of indications might lead to misdiagnosis. …”
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Temporal Convolutional Network Approach to Secure Open Charge Point Protocol (OCPP) in Electric Vehicle Charging by Ikram Benfarhat, Vik Tor Goh, Chun Lim Siow, Muhammad Sheraz, Teong Chee Chuah

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Respiratory and Rehabilitation Expert Consensus on Full-cycle Rehabilitation Assessment and Treatment for Elderly Patients with Chronic Obstructive Pulmonary Disease by CHEN Xin, JIA Jie, DING Yipeng, YE Xujun, DONG Anqin, HE Jing, LIAO Weijing, ZHENG Jieqiao, YU Binbin, CHEN Zuobing, FANG Yuan, YAO Liqing, ZHU Yiping, FU Jianghong, WANG Siyuan, ZHANG Yangxian

“…This consensus identifies common functional impairments in elderly COPD patients, including respiratory dysfunction, exercise tolerance impairment, psychological issues, swallowing dysfunction and cognitive impairment. …”
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