Development of a Low-Cost Internet of Things Platform for Three-Phase Energy Monitoring in a University Campus by Abdessamad Rhesri, Fatima Aabadi, Rachid Bennani, Yann Ben Maissa, Ahmed Tamtaoui, Hamza Dahmouni

“…The newly recommended measurement structure enables the electrical consumption data collection required for analyzing patterns and proposing forecast models to optimize electricity usage. …”
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Unravelling the Erythropoietin Heterodimeric Complex: In Silico Analysis of Complex Assembly and Binding Interface by Atiya Habib, Urooj Qureshi, Mohammad Nur-e-Alam, Aftab Ahmed, Zaheer Ul-Haq

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Constructing various wave symmetries on the blood flow and arterial wall motion model using the Hirota bilinear method by Baboucarr Ceesay, Nauman Ahmed, Muhammad Zafarullah Baber, Zafar Iqbal, Ali Akgül

“…These solutions reveal complex nonlinear behaviors such as phase shifts, localized waveforms, and interference patterns. The construction and visualization of these solutions are obtained with the support of Mathematica. …”
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Bibliometric and Retrospective Analysis on Economic Behavior for Inclusive Growth by Liudmyla Saher, Ihor Vakulenko, Kateryna Shevchenko, Yevheniia Bondarenko, Oleksii Lyulyov

“…It made it possible to obtain a clear visualization of research clusters on economic entities' behavioral aspects, including individual periods of the enormous publication activity from 2011 to 2021. …”
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Relationship between parental school involvement and its barriers among parents of students in grades 4 to 9: based on latent class and correspondence analyses by Junqiao Guo, Bihua Zhao

“…This study addresses a research gap by conducting latent class and correspondence analyses to uncover and visually depict the intricate relationships between parental school involvement and its barriers. …”
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Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques by Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

“…Abstract In the field of medical imaging, accurately classifying brain tumors remains a significant challenge because of the visual similarities among different tumor types. This research addresses the challenge of multiclass categorization by employing Support Vector Machine (SVM) as the core classification algorithm and analyzing its performance in conjunction with feature extraction techniques such as Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP), as well as the dimensionality reduction technique, Principal Component Analysis (PCA). …”
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Direction and velocity kinematic features of point-light displays grasping actions are differentially coded within the action observation network by Settimio Ziccarelli, Antonino Errante, Leonardo Fogassi

“…To identify brain regions differentially recruited by grasping direction and velocity, univariate and multivariate pattern analysis (MVPA) were performed. The results of univariate analysis demonstrate that direction is encoded in occipito-temporal and posterior visual areas, while velocity recruits lateral occipito-temporal, superior parietal and intraparietal areas. …”
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Seasonal Coloration and Ecological Adaptations of Adventitious Roots of Four Salicaceous Species in Jiuzhaigou World Natural Heritage Site, Southwestern China by Ting Liu, Junhuai Xu, Weiyang Xiao, Lv Zhou, Yingzhou Chen, Xue Qiao, Sha Deng, Zongliang Du, Ya Tang

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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…AnyLogic's visualization tools helped pinpoint process bottlenecks. …”
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Modeling Riding and Stopping Behaviors at Motorcycle Box Intersections: A Case Study in Chiang Mai City, Thailand by Wachira Wichitphongsa, Nopadon Kronprasert, Moe Sandi Zaw, Pongthep Pisetsit, Thaned Satiennam

“…This study introduces the External Driver Model (EDM) with microscopic traffic simulation using PTV Vissim 2024 software, which replicates the filtering and stopping behavior of motorcycles in mixed traffic on intersection approaches. This research aims to evaluate the traffic performance of motorcycle boxes with respect to motorcycle departure times, headway intervals, lane-filtering rates, and vehicle movement patterns at 12 signalized urban intersections in Chiang Mai, Thailand. …”
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Analyzing the Impact of Organic Food Consumption on Citizens Health Using Unsupervised Machine Learning by Giulio Angiolini, Giovanna Maria Dimitri

“…Despite the growing popularity of organic foods, research on their effects on human health, particularly regarding cancer and diabetes, remains limited. …”
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Cultural Categorization in Epigraphic Heritage Digitization by Hamest Tamrazyan, Gayane Hovhannisyan

“…FAIR Ontology and EAGLE vocabularies prioritize standardization and interoperability, introducing text mining, GIS mapping, and digital visualization to trace patterns across the vast body of texts from different historical periods. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Significantly, the developed model showed a consistently high-performance level demonstrated by various metrics, which indicates that it is proficient in capturing intricate data patterns. The key insights the current research provides are the necessity of early intervention and directed training support in the educational domain. …”
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MINDFULNESS COUNSELING IN STABILIZING MOOD REGULATION IN BIPOLAR CLIENTS: A CASE STUDY IN AN ISLAMIC HIGHER EDUCATION SETTING by Muhamad Rozikan, Aprilian Ria Adisti, Muhammad Istiqlal

“…Purpose – This research explores the role of mindfulness counseling in reducing episodes of mania and depression in clients diagnosed with bipolar disorder within the context of Islamic higher education institutions. …”
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Comprehensive Survey of Big Data Mining Approaches in Cloud Systems by Zainab Salih Ageed, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Hazha Saeed Yahia, Mayyadah R. Mahmood, Ibrahim Mahmood Ibrahim

“…The method of analyzing and visualizing vast volumes of data is known as the visualization of data mining. …”
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ABBA+BraiAn, an integrated suite for whole-brain mapping, reveals brain-wide differences in immediate-early genes induction upon learning by Nicolas Chiaruttini, Carlo Castoldi, Linda Maria Requie, Carmen Camarena-Delgado, Beatrice Dal Bianco, Johannes Gräff, Arne Seitz, Bianca A. Silva

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GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images by Md. Zahid Hasan, Md. Awlad Hossen Rony, Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Ahmed A. Moustafa

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Personal Health Record Software for Neuroendocrine Tumors: Patient-Centered Design Approach by Juan Pablo Hourcade, Michael O'Rorke, Elizabeth Chrischilles, Nicholas J Rudzianski, Brian Gryzlak, Kerry Peterman, Chris Ortman, Sam Wolstencroft, Margaret Bean, Elyse Gellerman, Josh A Mailman, Maryann Wahmann

“…Patients valued the ability to visualize personal health trends and patterns over time, enhancing both self-management and communication with medical teams. …”
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7T Spin-echo BOLD fMRI enhances spatial specificity in the human motor cortex during finger movement tasks by SoHyun Han, Dongho Kim, Seulgi Eun, HyungJoon Cho, Seong-Gi Kim

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Revealing the impact of teaching methods on anxiety among college students through a bibliometric study by Zhongzhu Ai, Dongfeng Yuan, Ruotong Dong, Yun Li, Shanshan Zhou

“…Data-driven analysis was conducted to explore collaboration patterns, knowledge structures, research hotspots, and trends using VOSviewer software.ResultsAfter screening, this study included 192 publications from January 2004 to November 2024, revealing several significant findings: (1) The number of publications has gradually increased, peaking in 2022 and maintaining a high level in the following years. (2) The most productive and influential journals are Nurse Education Today and CBE Life Sciences Education, with the USA and the Indiana University System contributing the most. (3) Collaboration network analysis indicates the presence of multiple research groups in the field, but their connections among countries and authors remain relatively limited. (4) Co-citation analysis of journals shows that the field is interdisciplinary, primarily merging psychology, education, and information technology. (5) Keyword analysis identifies two major research hotspots: factors influencing student anxiety in teaching environments (e.g., self-efficacy, loneliness, and performance) and the moderating effects of teaching method reforms (e.g., blended learning, collaborative learning, and experiential learning) on college student anxiety.ConclusionThis visualization analysis provides an overview of the directions and advancements in research on the impact of teaching method reforms on college students' anxiety. …”
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