Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example by Yongtao Wang, Wenfeng Yang, Jian Liu, Enhui Lu, Ye Li, Ning Chen

“…This necessitates the development of robust and effective assessment methods to ensure their sustainable use. Although assessing the ecological footprint (EF) of urban water systems plays a critical role in advancing sustainable cities and managing water assets, existing research has largely overlooked the application of geospatial visualization techniques in evaluating resource allocation strategies within karst mountain watersheds, an oversight this study aims to correct through innovative methodological integration. …”
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Development of data driven models to accurately estimate density of fatty acid ethyl esters by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari

“…The objective of this study is to construct advanced predictive algorithms using various machine learning methods, including AdaBoost, Decision Trees, KNN, Random Forests, Ensemble Learning, CNN, and SVR. …”
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Specific features of designing a database for neuro-oncological 3D MRI images to be used in training artificial intelligence by E. V. Amelina, A. Yu. Letyagin, B. N. Tuchinov, N. Yu. Tolstokulakov, M. E. Amelin, E. N. Pavlovsky, V. V. Groza, S. K. Golushko

“…The research was aimed at analyzing current approaches to the organization and design methodology of visualization database built on the basis of computer vision. …”
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Deep Learning Evaluation of Glaucoma Detection Using Fundus Photographs in Highly Myopic Populations by Yen-Ying Chiang, Ching-Long Chen, Yi-Hao Chen

“…The images were categorized into training, validation, and test sets in a ratio of 6:2:2. Grad-CAM visual visualization improved the interpretability of the CNN results. …”
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Desmoplastic small round cell tumor: an update of current management practices by Ahmed Gawash, Alexa Simonetti, Brandon J. Goodwin, Alissa Brotman O’Neill

“…Methods A comprehensive literature review and search strategy, encompassing databases like PubMed and Cochrane was performed. …”
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Perioperative and oncologic outcomes of robotic surgery for pediatric solid abdominal tumors: a single-center 10-year experience by Ashitosh Pokharkar, Priyank Yadav, Deepak K. Kandpal, Amita Mahajan, Sujit Kumar Chowdhary

“…Robotic surgery, offering enhanced visualization and precision, may address these issues. …”
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Analytical Evaluation of the WebSocket and WebTransport Protocols for the Class of SCADA Systems Operating Within the Intranet by G. A. Zvonareva, A. S. Smirnov

“…To solve this problem, network protocols are used, which continue to develop rapidly to this day.Materials and methods. SCADA systems are used in many industries: aviation, ground transportation, rocket and space technology, systems for receiving and processing telemetry information. …”
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Bilbliometric Analysis of Euthanasia in the Perspective of Medical Ethics by Elsa Yuniarti, Jessi Rizkanauli Simangunsong, Aditiya Ramadhani, Nabila Azzahra

“…Data cleaning and transformation were conducted using OpenRefine, while VOSviewer software (version 1.6.6) was utilized for data analysis and visualization, generating network, overlay, and density visualizations to identify publication trends across various metrics. …”
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Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning by Najmeh Pishghadam, Rasool Esmaeilyfard, Maryam Paknahad

“…The proposed model achieves a MAE of 1.08 years for age estimation and 95.3% accuracy in gender classification, significantly outperforming conventional CBCT-based methods. CBAM enhances the model’s ability to focus on clinically relevant anatomical features, while Grad-CAM provides visual explanations, improving interpretability. …”
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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

“…The free and open-source data visualization and machine learning platform offers user-friendly visual programming for predictive modeling and data analysis. …”
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Digital Infrared Thermographic Imaging for Limb Salvage in Patients at Risk of Amputation: Prospective Observational Study by Víctor Manuel Loza-González, Eleazar Samuel Kolosovas-Machuca, Patricia Aurea Cervantes-Báez, José Luis Ramírez-GarcíaLuna, Edgar Guevara, Mario Aurelio Martínez-Jiménez

“…This imaging modality allows visualization of thermal differences and patterns derived from thermal changes in patients at risk of limb amputation.…”
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A Potential Pitfall in the Interpretation of Microscope-Integrated Fluorescence Angiography: The Center–Periphery Effect by Dieder Stolk, Paul Bloemen, Richard Martin van den Elzen, Martijn de Bruin, Caroline Driessen

“…Background/Objectives: Indocyanine green fluorescence angiography (ICG-FA) enables the real-time visualization of tissue perfusion. However, objective research on microscope-integrated fluorescence angiography (FA) has not been conducted before. …”
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Most vulnerable diet and health profiles: identifying countries at risk through a three-theme clustering by Ahmet Murat Günal, Salim Yılmaz, Sedat Arslan

“…The study categorizes countries based on nutrition and diet, health and disease burden, and healthcare access and life expectancy to determine those at the highest risk.MethodsA cross-sectional analysis was conducted using 2019 data from 168 countries. …”
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DEVELOPMENT AND IMPLEMENTATION OF AN ONLINE CHEMISTRY COURSE: ADVANTAGES, CHALLENGES AND EXPERIMENTAL RESULTS by Yuliia Kharchenko, Nataliia Kurash

“…Such a course allows the integration of various electronic resources into a single platform, providing visualization and interactivity in learning a subject that is often challenging for students, as is the case with Chemistry. …”
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Image-guided optimization of current steering in STN-DBS for Parkinson's disease by Atsushi Umemura, Atsushi Umemura, Hideki Mizuno, Mina Maki, Atsuo Masago

“…By leveraging individualized anatomical visualization, IGP enhances precision in targeting the dorsolateral STN, resulting in improved motor outcomes.…”
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AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

“…Early detection, insect monitoring, and population forecasting through Artificial Intelligence (AI)-based methods, can enable swift responsiveness, allowing for reduced but more effective insecticide use, mitigating traditional labor-intensive and error prone solutions. …”
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The prevalence of coronary artery anomalies in adults: Studied with computed tomography coronary angiography by Ilić Dragana, Stojanov Dragan, Koraćević Goran, Petrović Slađana, Radovanović Zoran, Arsić Stojanka

“…The aim of the research was to establish the prevalence of the coronary arteries anomalies in our population. Methods. The study group included 1,562 patients (810 men, 752 women, average age 64.3 ± 12.0 years; range 32–80 years) who were scheduled for 64-slice computed tomography (MSCT), which enables detailed visualization of coronary arteries and heart anatomy. …”
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Shifts in the pKa value of acid–base indicators caused by immobilization on solid substrates via water-soluble polycationic polymers: a case study of Congo Red by A. O. Naumova, P. V. Melnikov, E. V. Dolganova, N. A. Yashtulov, N. K. Zaitsev

“…The creation of a sensor for continuous visualization of pH levels based on Congo Red immobilized on silica gel was described. …”
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PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021) by Nannan Xu, Guang Yang, Linlin Ming, Jiefei Dai, Kun Zhu

“…BackgroundAccurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking.ObjectiveThis study proposes a novel deep learning framework—PSOA-LSTM—that integrates Particle Swarm Optimization (PSO) with an attention-based Long Short-Term Memory (LSTM) network to enhance the precision of lung cancer incidence prediction.MethodsUsing the Global Burden of Disease 2019 (GBD 2019) dataset, the model predicts age- and gender-specific lung cancer incidence trends for the next 5 years. …”
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Contributions of Microscopy to the Morphological Characterization of the Male Genitalia of Toxomerus politus (Diptera, Syrphidae) by Ingrid G. M. Silva, Alexandre A. F. Souza, Ariane P. Silveira, Karine B. Barros‐Cordeiro, Welinton R. Lopes, Sonia N. Báo

“…Comparison between the methods used to investigate the structures of T. politus, observed after preserving the specimen, already demonstrates the importance of using appropriate methodology as a starting point for reliable results. …”
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