Impact of Carotid Endarterectomy on Choroidal Thickness and Volume in Enhanced Depth Optical Coherence Tomography Imaging by Elżbieta Krytkowska, Monika Masiuk, Miłosz P. Kawa, Aleksandra Grabowicz, Paweł Rynio, Arkadiusz Kazimierczak, Krzysztof Safranow, Piotr Gutowski, Anna Machalińska

“…CT and CV fluctuations in the central and perifoveal areas visualized with EDI-OCT enabled the observation of the processes of tissue adaptation to variable blood flow conditions.…”
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Unraveling Racial Disparities in Papillary Thyroid Cancer: A Comparative Bulk RNA-Sequencing Gene Expression Analysis by Luiza Barseghyan, Samuel Chan, Celina R. Yamauchi, Andrea Shields, Mia C. Perez, Alfred A. Simental, Salma Khan

“…Volcano plots visualized significant DEGs. Gene Set Enrichment Analysis (GSEA) via eVITTA identified enriched pathways. …”
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PatchCTG: A Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring by M. Jaleed Khan, Manu Vatish, Gabriel Davis Jones

“…Antepartum Cardiotocography (CTG) is a biomedical sensing technology widely used for fetal health monitoring. While the visual interpretation of CTG traces is highly subjective, with the inter-observer agreement as low as 29% and a false positive rate of approximately 60%, the Dawes–Redman system provides an automated approach to fetal well-being assessments. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…Potential areas of investigation may be the advanced domain adaptation, generative adversarial network-based data synthesis, and hybrid modeling strategies, which may be utilized to increase the robustness of the model. …”
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ScaleViM-PDD: Multi-Scale EfficientViM with Physical Decoupling and Dual-Domain Fusion for Remote Sensing Image Dehazing by Hao Zhou, Yalun Wang, Wanting Peng, Xin Guan, Tao Tao

“…Remote sensing images are often degraded by atmospheric haze, which not only reduces image quality but also complicates information extraction, particularly in high-level visual analysis tasks such as object detection and scene classification. …”
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Optogenetic approaches for neural tissue regeneration: A review of basic optogenetic principles and target cells for therapy by Davletshin Eldar, Sufianov Albert, Ageeva Tatyana, Sufianova Galina, Rizvanov Albert, Mukhamedshina Yana

“…Furthermore, the article emphasizes the emerging field of bioluminescent optogenetics, which combines optogenetic principles with bioluminescent proteins to visualize and manipulate neural activity in real time. …”
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Evaluation framework for the generation of continental bare surface reflectance composites by Paul Karlshoefer, Pablo d’Angelo, Jonas Eberle, Uta Heiden

“…Second, it facilitates the systematic evaluation of successive adaptations in the SRC generation process, eliminating the labor-intensive and error-prone task of visually comparing images to assess improvements in the SRC final product. …”
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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

“…Leveraging a versatile and user-friendly tool like VBA (Visual Basic for Applications) integrated into MS Excel enables educators to customize examples and assignments to match the intricacy and emphasis of their syllabus, thereby offering students a more targeted learning journey. …”
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Gas sensors and real-time video for accurate classroom occupancy detection by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Balakrishna Gokaraju, Raymond Tesireo

“…The combination of these modalities provides a robust and adaptable framework for occupancy detection, which can be scaled for different building types and configurations. …”
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Broadening the lens: A review of multi-object tracking task and its use in cognitive training by Pech Marion, Adolphe Maxime, Oudeyer Pierre-Yves, Sauzéon Hélène

“…The Multiple Object Tracking (MOT) task, recognized for its reliance on attentional control and dynamic visual processing, is a key activity in computerized Cognitive Training (CT). …”
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The sustainable lifestyle and social values of Knowledge Nomad in Malaysia: post-COVID-19 revivification by Muhammad Shuhaily Mohd Jasmany, Maisarah Hasbullah, Mohd Zufri Mamat, Maria Shu Hong Bee Abdullah

“…Abstract This paper reviews on the concept of work that has undergone a remarkable transformation after the post-COVID-19 pandemic in Malaysia among the Knowledge Nomad with the changes, adapting and redefining their lifestyles to fit the evolving landscape. …”
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Web management as a marketing management determinant: case for pharmaceutical enterprises by Valeriia Lazorenko, Liudmyla Saher, Adam Jasnikowski

“…The bibliometric analysis for Scopus publications addressed the marketing management in the pharmaceutical were visualized by 4 clusters. The first cluster covers marketing, management, and risk issues; the second – pharmaceutical industry, the third – economy; and the fourth – quality control. …”
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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

“…Leveraging a versatile and user-friendly tool like VBA (Visual Basic for Applications) integrated into MS Excel enables educators to customize examples and assignments to match the intricacy and emphasis of their syllabus, thereby offering students a more targeted learning journey. …”
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Using the LTO Network Level 1 Blockchain to Automate Inter-Organizational Business Processes by Khrypko Serhii L., Shcherbakov Serhii S.

“…Modeling live contracts as finite state machines allows visualizing them in the form of a flowchart. Alternative modeling techniques such as Petri nets and BPMN are discussed. …”
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Exploring Global Interest in Propolis, Nanosilver, and Biomaterials: Insights and Implications for Dentistry from Big Data Analytics by Magdalena Sycińska-Dziarnowska, Liliana Szyszka-Sommerfeld, Krzysztof Woźniak, Gianrico Spagnuolo

“…Stability, causality, and inter-period relationships were assessed using statistical analysis, with results visualized through time series plots and impulse response coefficients. …”
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Artificial intelligence in ophthalmology: a bibliometric analysis of the 5-year trends in literature by Bosen Peng, Jiancheng Mu, Feng Xu, Wanyue Guo, Chuhuan Sun, Wei Fan

“…By analyzing literature from the past 5 years (2020–2024), we seek to outline the development trends of this technology, provide guidance for its future directions, and assist clinicians in adapting to these innovations.MethodsWe conducted a comprehensive search of all literature related to AI and ophthalmology in the Web of Science Core Collection (WoSCC) using bibliometric methods. …”
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Chassis-based fiber-coupled optical probe design for reproducible quantitative diffuse optical spectroscopy measurements. by Giselle C Matlis, Qihuang Zhang, Emilie J Benson, M Katie Weeks, Kristen Andersen, Jharna Jahnavi, Alec Lafontant, Jake Breimann, Thomas Hallowell, Yuxi Lin, Daniel J Licht, Arjun G Yodh, Todd J Kilbaugh, Rodrigo M Forti, Brian R White, Wesley B Baker, Rui Xiao, Tiffany S Ko

“…In the future, this design may be adapted for clinical applications to allow for non-invasive monitoring of cerebral health during pediatric critical care.…”
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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor, Nauman U Gilal, Marco Agus, Jens Schneider

“…Methods We propose a two-phase framework: (i) Precise instance segmentation using U-Net with a Visual Geometry Group (VGG16 encoder) to isolate skin lesions and (ii) classification using EfficientFormer and SwiftFormer networks to evaluate performance on both balanced and imbalanced datasets. …”
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WHU-RS19 ABZSL: An Attribute-Based Dataset for Remote Sensing Image Understanding by Mattia Balestra, Marina Paolanti, Roberto Pierdicca

“…To demonstrate the value of the dataset, we conduct baseline experiments using deep learning models that had been adapted for multi-label classification—ResNet18, VGG16, InceptionV3, EfficientNet and ViT-B/16—designed to capture the semantic complexity characteristic of real-world aerial scenes. …”
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DGCFNet: Dual Global Context Fusion Network for remote sensing image semantic segmentation by Yuan Liao, Tongchi Zhou, Lu Li, Jinming Li, Jiuhao Shen, Askar Hamdulla

“…Finally, to optimize the continuity and consistency of segmentation results, a feature interaction guided module is used to adaptively fuse information from intra layer and inter layer. …”
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