Business Reputation of a Social Entrepreneurship Entity: Conceptual Basis of the Concept by T. V. Varkulevich, V. A. Beloglazova

“…The purpose of the study was to form the author’s definition of business reputation in the context of the theory of social change, facilitating the implementation of new approaches to its assessment and management. The research methods were the analysis and systematization of scientific literature on business reputation and social entrepreneurship; content analysis of publications devoted to social change, as well as data visualization to present the evolution of theories and approaches. …”
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A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Yannis Stamatiou

“…A thorough examination of the basic elements and approaches necessary for efficient big data use—data collecting, storage, processing, analysis, and visualization—is given in this paper. With real-life case studies from several sectors to complement our exploration of cutting-edge methods in big data management, we present useful applications and results. …”
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Single-Particle Tracking of AMPA Receptor-Containing Vesicles by Victor Wong, Deepika Walpita, Zhe Liu, Erin O’Shea

“…Existing methods rely on the overexpression of fluorescent protein-tagged AMPA receptors from plasmids, resulting in a saturated signal that obscures vesicles. …”
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Analysis of diversity and functional traits of epiphytic lichens in Dagestan forests of different formations by A. B. Ismailov

“…Statistical analysis and data visualization were performed in Statistica 13.3 and PAST 4.0.Results. …”
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The State‐of‐the‐Art of Cuttings Transport Measurements by Song Xuncheng, Shi Jiaming, Shi Yucai, Wang Wei

“…This paper systematically reviews the advancements in cuttings transport research, focusing on experimental setups, key influencing factors, and borehole cleaning evaluation methods. Despite extensive studies, existing experimental flow loops have limitations in replicating field conditions, and traditional predictive models struggle to capture the nonlinear interactions between drilling parameters. …”
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Transformative Spinal Surgery: Lateral Position Unilateral Biportal Endoscopic Discectomy by Jipin Gopi, Sharafuddeen Mammu, Aarabhy Jayan, Jamshad O P, Fijad N R, Vaisakh VK

“…Introduction: Endoscopic spine surgery (ESS) is a minimally invasive technique that allows for direct visualization of spinal pathologies and has become a safe and effective alternative to traditional open spine surgery. …”
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Spatiotemporal Analysis of Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance by Ryan Day, John L. Salmon

“…This research introduces novel analytical methods for evaluating multi-UAV persistent search and retrieval with stochastic target appearance (PSR-STA) scenarios. …”
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BIM log mining framework using deep learning for productivity assessment in construction facilities by Ali Akbar, Younghee Chang, Jinwoo Song, Seojoon Lee, Sanghyeon Park, Jinhyun Bae, Soonwook Kwon

“…The framework incorporates an integrated interface with visualization and natural language processing for enhanced insight generation and accessibility. …”
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Augmented reality in science learning: A systematic literature review by Z. Zufahmi, Fatchur Rohman, Murni Sapta Sari

“…This trend is reflected in the distribution of year, authors, keywords, research types/methods, author nationality, and international collaboration. …”
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Bibliometric analysis of sustainable rural tourism by Yuqing Geng, Siqiao Zhao, Xiaohan Zhang, Jianyi Li, Yan Yan, Juan Gao

“…Additionally, this paper constructs a comprehensive knowledge framework suggesting that future research will further explore SRT resource utilization and interactions between stakeholders and SRT and enrich theories and methods while focusing more on “sustainable rural tourism.” …”
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Digital health applications in Germany: Explorative pilot study on the challenges of approval from the perspective of manufacturers by Omed Ataiy, Mia Burniki, Keywan Sohrabi, Volker Groß, Michael Scholtes, Florian Schudt

“…The aim of this study is to identify the challenges faced by digital health applications manufacturers in the German fast-track process. Methods Use of a questionnaire-based online survey with 10 digital health applications manufacturers from March to October 2023. …”
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IMPACT OF CELEBRITY STATEMENTS ON INTERNET SEARCHES ON THE USE OF SEMAGLUTIDE FOR WEIGHT LOSS by S. PROVENZANO, O.E. SANTANGELO2,3

“…Objective: The study aimed to evaluate the digital search habits of the Italian population regarding the use of GLP-1RA (in particular Semaglutide) for their weight loss effects. Methods: The study design is cross-sectional. Data on Internet searches have been obtained from Google Trends (GT) based on Google Search and Wikipedia's page visualization for Semaglutide. …”
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Multi-Level Feature Fusion Attention Generative Adversarial Network for Retinal Optical Coherence Tomography Image Denoising by Yiming Qian, Yichao Meng

“…<b>Background:</b> Optical coherence tomography (OCT) is limited by inherent speckle noise, degrading retinal microarchitecture visualization and pathological analysis. Existing denoising methods inadequately balance noise suppression and structural preservation, necessitating advanced solutions for clinical OCT reconstruction. …”
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Multimodal deep learning for cephalometric landmark detection and treatment prediction by Fei Gao, Yulong Tang

“…Traditional approaches rely on manual landmark identification, which is time-consuming and subject to inter-observer variability, while existing automated methods typically utilize single imaging modalities with limited accuracy. …”
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DETERMINATION OF THE BEST OPTIMIZER FOR A NEURONETWORK IN THE DEVELOPMENT OF AUTOMATIC IMAGE TAGGING SYSTEMS by Andrian Kozynets

“…Comparing these optimizers allows us to determine the most suitable optimizer for solving specific machine learning problems. Methods and tools. The TensorFlow library and the TensorBoard machine learning visualization interface were used to train and test the models. …”
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Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

“…On the other hand, in the last two decades, noninvasive optical diagnostic methods have been actively developed, for example, digital dermatoscopy for visualization of surface neoplasms and Optical Coherence Tomography (OCT) for obtaining spatial scans. …”
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Comparative analysis of effective data protection practices in healthcare: Russia and international standards by Diana A. Lebedeva

“…A comparative legal analysis has been conducted on the legislation and practices regarding the protection of patients' personal data in the healthcare systems of Russia, the USA, the EU, China, and several other Asian countries. The main research methods employed include comparative-legal analysis, formal-legal analysis, expert-analytical methods, visualization techniques, and structural analysis. …”
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Machine learning-based prediction of speed of sound in fatty acid ethyl esters by Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi

“…The research seeks to create predictive models utilizing various methods in machine learning to calculate the speed of sound in FAEEs under different temperature, pressure, molar mass, and elemental composition conditions. …”
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Dependence modeling in general insurance using local Gaussian correlations and hidden Markov models by Afazali Zabibu, Gundersen Kristian, Kasozi Juma, Omala Saint Kizito, Støve Bård

“…This article introduces a hybrid framework that combines local Gaussian correlation (LGC) with hidden Markov models (HMMs) to model dynamic and nonlinear dependencies in general insurance claims, thereby addressing the limitations of static copula methods. When applied to Kenyan motor insurance claims (2008–2021) and Norwegian home insurance data (2012–2018), the proposed LGC-HMM approach captures regime-specific, nonlinear dependency patterns, revealing distinct stable and crisis periods through structural breaks in the dependency structure. …”
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Topic diagnostics of coronary pathology in coronary heart disease patients by contrast stress echocardiography with dipyridamole by S. T. Matskeplishvili, E. U. Asymbekova, E. A. Ayazyan, V. I. Ioshina, T. V. Kavtiashvili

“…The results of traditional S-EchoCG and CS-EchoCG with dipyridamole were compared with coronaroangiography (CAG) data. Results. Both methods of EchoCG visualization were highly informative for topic diagnostics of coronary atherosclerosis – 91%, comparing with CAG results. …”
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