Development and Validation of Deep Learning–Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study by Wou young Chung, Jinsik Yoon, Dukyong Yoon, Songsoo Kim, Yujeong Kim, Ji Eun Park, Young Ae Kang

“…MethodsWe used DenseNet121 and visualization techniques such as gradient-weighted class activation mapping and local interpretable model-agnostic explanations to demonstrate the decision-making process of the model. …”
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Technology for designing structural-mental schemes for calculation tasks by N. I. Pak, E. V. Asaulenko

“…Modern teaching tools and methods, as a rule, implicitly rely on the “black box” model. …”
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Exploring the relationship between social media dependence and internet addiction among college students from a bibliometric perspective by Ruotong Dong, Dongfeng Yuan, Xue Wei, Jingyi Cai, Zhongzhu Ai, Shiquan Zhou

“…The link between social media dependence and addiction is garnering increasing attention.ObjectiveThe aim of this study was to analyze and discuss the research trends and hotspots on social media dependence and internet disorder among college students by bibliometric methods.MethodsRelevant studies on social media dependence and online addiction among college students were retrieved from the Web of Science (WoS) database spanning the years 2013 to 2024. …”
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An automation monitoring system for the production facility work by Артем Бронніков, Альона Коломієць, Олег Юрченко

“…The use of mathematical and system analysis methods, modeling and simulation methods – to check the operation of the automated monitoring system of the instrumentation room. …”
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CIS Countries Foreign Economic Activity — from Challenges to New Opportunities by M. S. Goncharov

“…Methods of aggregation, comparison, retrospective, and indicative analysis were applied to the data. …”
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Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet) by Tarek Khorshed, Mohamed N. Moustafa, Ahmed Rafea

“…Current classification methods typically rely on samples collected from a single tissue type and perform a prerequisite of gene feature selection to avoid processing the full set of genes. …”
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Application and Development of Firefighting Technologies in Industrial Heritage: Experiences and Insights from Macau by Linsheng Huang, Ying Huang, Yashan Chen, Senyu Lou, Yile Chen, Mengyan Jia

“…This study aims to explore Macau’s industrial heritage’s historical development and technological applications in the field of fire protection using literature analysis, field investigation, and spatial information visualization methods. It will be carried out using the industrial heritage of Macau as the object and systematic analyses from the screening and processing of fire protection historical data, fire risk assessment, and the migration of fire protection focus. …”
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Role of imaging techniques in the assessment of vulnerable plaques and the effectiveness of lipid-lowering therapy by G. R. Bikbaeva, A. N. Kovalskaya, K. V. Kuznetsova, T. V. Pavlova, D. V. Duplyakov

“…In addition, plaque visualization makes it possible to evaluate the treatment effectiveness.…”
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Knowledge Domain and Emerging Trends in the Treatment of Patients with Chronic Obstructive Pulmonary Disease Combined with Respiratory Failure: A Scientometric Review Based on Cite... by Yabing Chen, Jiale Sang, Lingbo Fu, Ying Zhang

“…Objective To analyze the status of research on treating chronic obstructive pulmonary disease (COPD) combined with respiratory failure internationally to reveal its development trends through visualization methods and to provide a reference and suggestions for future research directions.Methods Literature on the treatment of COPD combined with respiratory failure published from the year of inception of the Web of Science database to December 31, 2023, was searched. …”
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Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction by Sumin Ha, Dongmin Bang, Sun Kim

“…Additionally, attention visualization aligning with literature contributes to greater transparency in predictive modeling. …”
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Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

“…Geoinformation technologies allow processing, spatial coordination of digitized old maps with optimal accuracy, creation of thematic layers necessary for spatial analysis and visualization of the results of work in the form of a series of maps displaying the ATD of the Stavropol region for different periods of development history.Materials and research methods. …”
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Physical condition preparation of combat sport athletes for fighting simulation in experimental research: coach perspective analysis by Trisnar Adi Prabowo

“…Data analysis uses narrative analysis methods to identify common themes and patterns that emerge from the data. …”
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An interpretable machine learning model for predicting depression in middle-aged and elderly cancer patients in China: a study based on the CHARLS cohort by Yue Xiao, Zejin Zhao, Chen-guang Su, Jian Li, Jinlong Liu

“…This study aims to use machine learning methods to develop a predictive model to identify depression risk. …”
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StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models. by Amanda Bleichrodt, Amelia Phan, Ruiyan Luo, Alexander Kirpich, Gerardo Chowell

“…To address the need for accessible and intuitive forecasting applications, we present StatModPredict, an R-Shiny dashboard for conducting robust forecasting analysis utilizing auto-regressive integrated moving average (ARIMA), generalized linear models (GLM), generalized additive models (GAM), and Meta's Prophet model.<h4>Methods</h4>StatModPredict supports robust real-time forecasting and retrospective model analysis, including fitting, forecasting, evaluation, visualization, and comparison of results from four popular models. …”
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Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges by Mohsen Marjani, Fariza Nasaruddin, Abdullah Gani, Ahmad Karim, Ibrahim Abaker Targio Hashem, Aisha Siddiqa, Ibrar Yaqoob

“…Furthermore, big IoT data analytic types, methods, and technologies for big data mining are discussed. …”
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DaGAM-Trans: Dual graph attention module-based transformer for offline signature forgery detection by Sara Tehsin, Ali Hassan, Farhan Riaz, Inzamam Mashood Nasir

“…Notably, it achieves 100% accuracy on the CEDAR dataset, with a False Acceptance Rate (FAR) as low as 0.001 and an Equal Error Rate (EER) reduced to 9.5%. Comparative experiments confirm that DaGAM-Trans outperforms existing state-of-the-art methods in terms of accuracy, FAR, FRR, and EER. …”
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Integrated Network-Based Analysis of Diseases Associated with Amyloid Deposition Through a Disease–Protein–Drug Network by Aikaterini E. I. Rizou, Georgia I. Nasi, Avgi E. Apostolakou, Meletios A. Dimopoulos, Efstathios Kastritis, Vassiliki A. Iconomidou

“…<b>Methods:</b> For this reason, we constructed a disease–protein–drug network, focusing on a category of rare protein-misfolding diseases, known as amyloidoses, and on other pathological conditions also associated with amyloid deposition. …”
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IsoFoodTrack: a comprehensive database and management system based on stable isotope ratio analysis for combating food fraud by Cathrine Terro, Cathrine Terro, Robert Modic, Matevž Ogrinc, Andraž Simčič, Jan Drole, Tome Eftimov, Tome Eftimov, Barbara Koroušić Seljak, Barbara Koroušić Seljak, Nives Ogrinc, Nives Ogrinc

“…The database is built for scalability, allowing the addition of new commodities, analytical methods, and metadata fields, while ensuring interoperability with external databases through standardized formats and API integration. …”
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Photoacoustic Imaging in Inflammatory Orthopedic Diseases: Progress toward Precise Diagnostics and Predictive Regulation by Mengyi Huang, Haoyu Yu, Rongyao Gao, Yuxin Liu, Xuhui Zhou, Limin Fu, Jing Zhou, Luoyuan Li

“…Especially in inflammation imaging, this technology can effectively supplement current clinical imaging methods in diagnosis, staging, and monitoring of pathophysiological processes. …”
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Adopting TOGAF Framework for Sustainable and Scalable Robusta Coffee Leaf Rust Management by Thein Oak Kyaw Zaw, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Baarathi Balasubramaniam, Suraya Mohammad, Yunus Yusoff, Khairul Shafee Kalid

“…However, managing Coffee Leaf Rust remains challenging due to the reliance on manual detection methods and the lack of structured technological integration. …”
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