Influence Maximization in Social Networks Using Improved Genetic Algorithm by Ali Chodari Khosroshahi, Saeid Taghavi Afshord, Bagher Zarei, Bahman Arasteh

“…It focuses on identifying the most influential individuals (or nodes) in a social network to maximize the spread of information, ideas, or behaviors. Most existing studies have used centrality measures such as degree, closeness, or PageRank to identify the most influential individuals, but they have not obtained good results. …”
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AI-Enhanced Non-Intrusive Load Monitoring for Smart Home Energy Optimization and User-Centric Interaction by Xiang Li, Yunhe Chen, Xinyu Jia, Fan Shen, Bowen Sun, Shuqing He, Jia Guo

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Scalable Distributed Reproduction Numbers of Network Epidemics With Differential Privacy by Bo Chen, Baike She, Calvin Hawkins, Philip E. Pare, Matthew T. Hale

“…To address this limitation, we first propose a novel class of local distributed reproduction numbers that capture spreading behaviors at the level of individual nodes. We demonstrate how to compute these values in a distributed way and use them to derive new threshold conditions for network spreading analysis. …”
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Parkinson’s disease tremor explained by reflex loop changes by Dimitry Gorinevsky

“…Abstract Many Parkinson’s Disease tremor behaviors that were considered hard to interpret can be explained by control systems modeling of mid-level motor control. …”
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From Breakers to Builders: The Role of Bug Bounty Hunters in Strengthening Organizational Cybersecurity by Gulet Barre

“…The present paper aims to further investigate the factors that affect the behavioral intentions of bug hunters by empirically studying 386 computer security professionals across the world. …”
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Cortical hierarchies perform Bayesian causal inference in multisensory perception. by Tim Rohe, Uta Noppeney

“…Thus, perception inherently relies on solving the "causal inference problem." Behaviorally, humans solve this problem optimally as predicted by Bayesian Causal Inference; yet, the underlying neural mechanisms are unexplored. …”
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A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

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Rethinking the importance of social norms in generative AI adoption: investigating the acceptance and use of generative AI among higher education students by Ömer Faruk Ursavaş, Yasin Yalçın, Hakan İslamoğlu, Eda Bakır-Yalçın, Mutlu Cukurova

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Friend Link Prediction Method Based on Heterogeneous Multigraph and Hierarchical Attention by Aoxue Liu, Boyu Li, Yong Wang, Ziteng Yang

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An Accurate Approximate-Analytical Technique for Solving Time-Fractional Partial Differential Equations by M. Bishehniasar, S. Salahshour, A. Ahmadian, F. Ismail, D. Baleanu

“…The solutions may portray dynamical behaviors of various particles such as chemicals and cells. …”
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EOG Region Detection using Fuzzy k-NN for Virtual Reality Applications by Emre Güngör, Soydan Serttaş

“…Advancement in the VR industry benefits both biomedical and computer gaming fields to create better Human-Computer Interface (HCI) applications. …”
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Social observation differentially affects prosocial learning of selfish and prosocial people by Yuri Kim, Kun Il Kim, Hackjin Kim

“…A total of 102 participants were randomly assigned to either the observation or control group while performing a two-armed bandit task under self- and other-reward conditions, and their behavioral outcomes were analyzed using a reinforcement learning computational model. …”
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Statistical Properties of SIS Processes with Heterogeneous Nodal Recovery Rates in Networks by Dongchao Guo, Libo Jiao, Wendi Feng

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Flow parsing as causal source separation allows fast and parallel object and self-motion estimation by Malte Scherff, Markus Lappe

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Reflective error: a metric for assessing predictive performance at extreme events by Robert Edwin Rouse, Henry Moss, Scott Hosking, Allan McRobie, Emily Shuckburgh

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An equivalent modeling method for integrated water-wind-solar systems based on sparrow search algorithm by Yuanhong Lu, Jie Zhang, Jingyue Zhang, Libin Huang, Haiping Guo, Binjiang Hu, Tianyu Guo

“…Abstract In the context of extensive integration of renewable energy sources into the electrical grid, the grid's fault transient behaviors have undergone significant changes. However, conventional single-unit equivalent models fail to accurately capture the fault transient responses of combined wind-solar-hydro power stations and often require substantial computational resources, leading to reduced simulation efficiency. …”
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Activity-dependent synthesis of Emerin gates neuronal plasticity by regulating proteostasis by Yi Xie, Ruoxi Wang, Daniel B. McClatchy, Yuanhui Ma, Jolene Diedrich, Manuel Sanchez-Alavez, Michael Petrascheck, John R. Yates, III, Hollis T. Cline

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A Supplementary Controller to Mitigate Damped Oscillations in Power Systems’ Components Based on the Internal Model Principle by Mohammad Mansouri, David Westwick, Zahra Moradi-Shahrbabak, Mohsen Mojiri, Andrew M. Knight

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Using Machine Learning to Develop a Surrogate Model for Simulating Multispecies Contaminant Transport in Groundwater by Thu-Uyen Nguyen, Heejun Suk, Ching-Ping Liang, Yu-Chieh Ho, Jui-Sheng Chen

“…Model validation reveals that the ANN surrogate accurately reproduces the spatial–temporal concentration profiles of both original and degradation species, capturing key dynamic behaviors with high precision. Notably, the ANN model achieves up to a 100-fold reduction in computational time compared to traditional analytical or semi-analytical solutions. …”
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A novel caputo fractional model for english language learning: Analysis and simulation with bayesian regularization approach by Maria, Aqsa Zafar Abbasi, Muhammad Asif Zahoor Raja, Kottakkaran Sooppy Nisar, Muhammad Shoaib

“…This model creates a strong foundation for examining language acquisition behaviors by including the learning process within the system. …”
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