Representation of Radiation Oncologists on National Comprehensive Cancer Network Guideline Committees by Bismarck C. Odei, MD, Temitope Agabalogun, MD, Erika Bello-Pardo, BS, Christina Huang, MD, MS, Daniel Vanderbilt, MD, PhD, Seyi Omeh, MD, MPH, Benjamin Sterling, Fumiko Chino, MD

“…Purpose: The National Comprehensive Cancer Network (NCCN) guideline committees (GCs) play a vital role in defining the standard of care for cancer management. …”
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A vehicular network–based intelligent transport system for smart cities by Tayyaba Zaheer, Asad Waqar Malik, Anis Ur Rahman, Ayesha Zahir, Muhammad Moazam Fraz

“…In developed countries, specialized sensors are deployed to gather traffic information to predict traffic patterns. Any traffic updates are shared with the commuters via the Internet. …”
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Study on Large‐Scale Brain Network Abnormalities in Patients With Beta‐Thalassemia by Mingrui Yang, Guowei Chen, Peng Peng, Cheng Tang, Chaotian Luo, Fei Peng, Rong Kong, Chunxia Zhu, Jiatong Liang

“…This study systematically evaluates alterations in both intra‐brain network functional connectivity (FC) and inter‐network functional connectivity (FNC) in β‐TM patients using resting‐state functional magnetic resonance imaging (rs‐fMRI) and independent component analysis (ICA), aiming to uncover the potential mechanisms underlying their neurofunctional impairments. …”
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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…Two advanced neural network models were developed and evaluated: a multimodal feature combination model and a multimodal feature coupled model. …”
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Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

“…To address these challenges, our study utilizes electroencephalogram (EEG) signals to analyze BFNs through the weighted phase lag index (wPLI), capturing unique connectivity patterns associated with NP. Additionally, we employ a minimum dominating set (MDSet) approach to assess network control, revealing functional disruptions across various stages of NP severity. …”
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Probabilistic Interference Prediction for Dynamic 6G In-X Sub-Networks by Pramesh Gautam, Carsten Bockelmann, Armin Dekorsy

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Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

“…The PreciseADR is dedicated to effectively capturing both local and global dependencies within the heterogeneous graph, allowing for the identification of subtle patterns and interactions that play a significant role in ADRs. …”
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Parenting styles and preschool children's development: from network analysis perspective by Jiahao Han, Jiahao Han, Zhixiong Yan, Zhixiong Yan

“…Protection) and five key developmental domains (Cognition, Emotion, Language, Art, and Body) in a large sample of preschool children. Using network analysis, we evaluated data from 6,394 Chinese parents who completed the Preschool Development Scale (PDS) and Parenting Style Scale (PRSS). …”
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Resilience assessment of interprovincial crop virtual water flow network in China by Hongrong Huang, La Zhuo, Yiping Wu, Yilin Liu, Xiangxiang Ji, Pute Wu

“…Our analysis reveals that China’s crop VW flow network are vulnerable to targeted disruptions due to their low connectivity and high dependence on water-scarce producing provinces, highlighting the urgent need for diversifying VW flow patterns and strengthening water resource management in key exporting regions.…”
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Transformer-based structural connectivity networks for ADHD-related connectivity alterations by Liting Shi, Lei Shi, Zhijun Cui, Chengting Lin, Rui Zhang, Jiayi Zhang, Yechen Zhu, Wei Shi, Jianlin Wang, Yanlong Wang, Dongxing Wang, Haihong Liu, Xin Gao

“…Results Here we show that the proposed method performs well in distinguishing ADHD individuals from healthy controls, with accuracy reaching 71.9 percent and an area under curve of 0.74. The structural networks also reveal significant differences in connectivity patterns (paired t-test: P = 0.81 × 10−6), particularly involving regions responsible for motor and executive function. …”
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Postmarketing safety evaluation of pemetrexed using FAERS and JADER databases by Luo Lv, Xiangyang Wu, Yubo Ren, Yuli Guo, Haixiong Wang, Xiaofang Li

“…This study conducted a comprehensive pharmacovigilance analysis using two major spontaneous reporting systems—FAERS (2004Q1–2024Q3) and JADER (2007Q1–2024Q3)—to evaluate pemetrexed-related ADEs. Disproportionality analysis was performed using four algorithms: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS). …”
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Evaluation of high-standard public transport centres in the Slovak Republic by Horňák Marcel, Struhár Peter, Pšenka Tomáš

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Optimize building energy efficiency design and evaluation with machine learning by Chun Gu

“…With the increasing demand for energy efficiency optimization in the building industry, this study explores the application of machine learning technology in building energy efficiency design and evaluation. By comprehensively analyzing energy consumption data, environmental factors, building characteristics, and user behavior patterns, this paper proposes a machine learning-based approach aimed at accurately predicting and improving the energy efficiency of buildings. …”
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Evaluating the relationship between news source sharing and political beliefs by Sofía M. del Pozo, Sebastián Pinto, Matteo Serafino, Federico Moss, Tomás Cicchini, Hernán A. Makse, Pablo Balenzuela

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Economic Evaluation of System-Wide Implementation of Kidney Supportive Care by Lisa L. Brady, Annie Hutton, Jeremy R. Chapman, Gerard Duck, Tessa Gastrell, Angela Makris, Dennis McCarthy, Michael Noel, Liz Hay, Peter Choi

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Evaluating impact of different factors on electric vehicle charging demand by Shakker Soheila, Esmi Nima, Shahbahrami Asadollah

“…Leveraging long short-term memory networks – effective in modeling time-series data – we evaluate the impact of contextual features on forecasting performance. …”
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Evaluating Lightweight Transformers With Local Explainability for Android Malware Detection by Fatima Bourebaa, Mohamed Benmohammed

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Hybrid ANFIS systems: Evaluation of bearing capacity of driven piles by Yan Peng, Haiquan Gao

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A Multi‐Scale Time Adaptive Fusion Network for Transformer Fault Diagnosis by XuMing Liu, XiaoKun He, YongLin Li

“…The adaptive high‐order hybrid network (AHOHN) module then fuses multi‐scale temporal data with transformer features using a hybrid attention mechanism, extracting temporal variation patterns. …”
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Social Network Community Detection by Combining Self-Organizing Maps and Genetic Algorithms by Mehdi Ellouze

“…Community detection is one of these tools and aims to detect a set of entities that share some features within a social network. We have taken part in this effort, and we proposed an approach mainly based on pattern recognition techniques. …”
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