Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting by Chuqin Huang, Emily Zheng, Wenhan Zheng, Huijuan Zhang, Yanda Cheng, Xiaoyu Zhang, Varun Shijo, Robert W. Bing, Isabel Komornicki, Linda M. Harris, Ermelinda Bonaccio, Kazuaki Takabe, Emma Zhang, Wenyao Xu, Jun Xia

“…These findings indicate the method’s potential to enhance quantitative analysis in preclinical and clinical photoacoustic research.…”
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Potential of Indole-3-Carbinol compounds from broccoli (Brassica oleracea var. italica) as natural aromatase blockers: In silico prediction and in vivo studies by Reski Amalia, Takashi Ohama, Ishwar Singh Parhar, Claude Mona Airin, Hiroshi Sato, Agung Budiyanto, Pudji Astuti

“…Therefore, an alternative method that does not affect the safety of livestock products is needed. …”
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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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Basics of Elbow Arthroscopy by Melissa L. Carpenter, B.S., Jose F. Vega, M.D., Monique Haynes, M.D., Zeeshan A. Khan, B.A., Juan Bernardo Villarreal-Espinosa, M.D., Michael J. Murray, B.S., Nikhil N. Verma, M.D.

“…Our surgical technique aims to offer a safe, reproducible method for achieving excellent visualization and access to both anterior and posterior compartments, thereby optimizing outcomes and minimizing complications.…”
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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…Clustering methods, such as K-means, grouped the comments by similar themes. …”
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A Technique for Peripheral Compartment First and Periportal Access for Hip Arthroscopy by Edward R. Floyd, M.D., Tanner L. Kippes, B.S., Kyler A. Hardie, B.S., Nathan W. Skelley, M.D.

“…Hip arthroscopy has become the preferred method for surgical management of numerous hip pathologies. …”
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Comprehensive Survey of Big Data Mining Approaches in Cloud Systems by Zainab Salih Ageed, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Hazha Saeed Yahia, Mayyadah R. Mahmood, Ibrahim Mahmood Ibrahim

“… Cloud computing, data mining, and big online data are discussed in this paper as hybridization possibilities. The method of analyzing and visualizing vast volumes of data is known as the visualization of data mining. …”
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Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity by Ke Cheng, Meiying Hou, Wei Sun, Zhihong Qiao, Xiang Li, Tuo Li, Mingcheng Yang

“…Abstract This present investigation employs an advanced magnetic particle tracking method to trace the trajectories of an intruder within a vibration-driven granular medium under artificial low-gravity conditions. …”
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Effects of Area of Walls, Internal Corridors, and Stairs on the Built-Up Area of Houses by Hassan Faisal Jaafar, abdulbaqi Ghazi, Ali I. Sabur, Mustafa Özakça

“…Through a survey of previous literature related to the subject, it became clear that there is no concept or study concerned with determining the approximate proportions of the wall area and the staircase area with the internal corridors inside the residential house and the extent of their impact on the remaining spaces The deductive method for analyzing a group of samples to reach an approximate unified result resulting in approximately 17% for the combined area of stairs and internal corridors, and 17% for walls. …”
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The Effect of Virtual Tour on the Intention to Book Tourist Destination by Manijeh Haghighinasab, Samira Narimanyfandoghloui, Nazila Niakan Lahiji

“…Sampling is done using the available method, with a minimum sample size of 120 participants distributed among four experimental groups. …”
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The First Application of Positron Emission Tomography/ Magnetic Resonance Imaging in Russia by A. S. Chaban, S. G. Mirzoyants, M. R. Kalinin

“…PET/MRI has advantages over other imaging methods and will most likely soon become the gold standard for visualization in some areas of radiodiagnosis. …”
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Evaluation of commercial space accessibility in tourist town: A case research of Maotai Town in China by Lai Xu, Yuwei Liu, Jingmi Shen, Jie Tan, Akos Hutter

“…Finally, we will establish a Minimum Cumulative Resistance Model (MCR Model) based on the analysis results obtained to identify the resistance paths that tourists navigate within the research area. This method will provide a precise framework for evaluating the accessibility of commercial spaces throughout the area.…”
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Mixed (combined) phenotype of the late stage of age-related macular degeneration by N. V. Neroeva, V. V. Neroev, M. V. Ryabina, A. G. Karmokova, O. A. Losanova

“…With multimodal visualization of the chorioretinal complex structures using modern research methods, it was possible to isolatea mixed, or combined, phenotype of the late stage of age-related macular degeneration (AMD). …”
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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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