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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An in-depth understanding of stakeholders’ experiences about their participation in the co-production of ‘Maze Out’: a serious game for the treatment of eating disorders by Maria Mercedes Guala, Aida Bikic, Kim Bul, David Clinton, Anette Søgaard Nielsen, Helene Nygaard Nielsen, Martina Scarpelli, Luciana Schneider, Regina Christiansen

“…Methods Five stakeholders (two patients, two clinicians, and a game designer) who participated in the co-production completed semi-structured interviews. …”
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A novel “lateral approach short axis in-plane” technique vs. conventional “short-axis out-of-plane approach” for ultrasound-guided internal jugular vein access: a prospective rando... by Michal Kalina, Patricia Vargová, Adéla Bubeníková, Roman Škulec, Vladimír Černý, David Astapenko

“…Standard descriptive statistical methods were employed for the analysis. Results A total of 200 subjects were equally divided between Group A and Group B. …”
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Multiomics-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Patients With Extensive-Stage Small Cell Lung Cancer Receiving Chemoimmunotherapy: A Retrospectiv... by Nie F, Pei X, Du J, Shi W, Wang J, Feng L, Liu Y

“…Fang Nie,* Xiufeng Pei,* Jiale Du, Wanting Shi, Jianying Wang, Lu Feng, Yonggang Liu Department of Thoracic Oncology, Baotou Cancer Hospital, Baotou, Inner Mongolia, 014000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yonggang Liu, Email zlnkldf8000@sina.comObjective: This study aimed to develop a clinical early warning prediction model to evaluate the prognosis and response to chemoimmunotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC), thereby guiding clinical decision-making.Methods: A retrospective analysis was conducted on the clinical data and radiomics parameters of 309 patients with ES-SCLC hospitalized at Baotou Cancer Hospital from February 2020 to September 2024. …”
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A Bibliometric Analysis of the WoSCC Literature on the Use of Selective Serotonin Reuptake Inhibitors as Antidepressants by Li J, Fei X, Wang S, Xu Z, Xu F, Wang J, Gao Y, Hu Y

“…Visualization analysis was performed with Bibliometrix, VOSviewer, and CiteSpace.Results: A total of 1149 publications published from 1990 to 2024 were included in the bibliometric analysis. …”
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Comparison of Modified Mallampati Classification and Acromio-Axillo-Suprasternal Notch Index in Predicting Difficult Laryngoscopy: A Prospective cohort study. by Mohamed Noufal P.K, Padma Amar Vishal, Gopala Krishna Kommula

“…Methods: A prospective cohort study was conducted on 106 adult patients aged between 18 and 60 years, scheduled for elective surgeries requiring general anesthesia and endotracheal intubation. …”
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A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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Next-Generation Computational Approaches for Biological Network Analysis by Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, Ahsan Jamal Memon, Muhammad Talha Nasir, Arleen Yousuf

“…Computational advances have transformed PPI analysis, allowing for the prediction, analysis, and visualization of intricate interaction networks. This article discusses the basics of PPI networks, experimental and computational methods for their detection and analysis, and novel predictive models. …”
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CVT-HNet: a fusion model for recognizing perianal fistulizing Crohn’s disease based on CNN and ViT by Lanlan Li, Ziyue Wang, Chongyang Wang, Tao Chen, Ke Deng, Hong’an Wei, Dabiao Wang, Juan Li, Heng Zhang

“…Traditional manual recognition methods are inefficient. In response, computer vision methods have been adopted to improve efficiency. …”
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Research status and trends of functional magnetic resonance imaging technology in the field of acupuncture: a bibliometric analysis over the past two decades by Zhongke Wang, Lu Chen, Tianyu Jiang, Qi Zhang, Jinying Zhao, Fuchun Wang

“…Visualization analyses were conducted using Citespace (version 6.3 R1) and VOSviewer (version 1.6.20). …”
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A Comparative Analysis of Refraction-Aware SfM, Hierarchical Localization, and Gaussian Splatting for Underwater 3D Reconstruction by F. Muhammad, F. Muhammad, R. A. Mugiaraya, R. A. Mugiaraya, G. Alodia, H. Sternberg

“…Results show that RSfM combined with GS provides the most reliable reconstruction and visualization pipeline. Deep learning methods are best applied at the feature level, followed by structured SfM for accurate geometry. …”
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