INDICATORS OF THE PHYSICAL CONDITION AND DISEASE STRUCTURE IN THE ELDERLY by Вера Александровна Погодина, Анатолий Иванович Бабенко, Анастасия Владимировна Половникова, Евгений Анатольевич Бабенко

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Silkworm segmentation based on encoder-decoder structure by Huimin Zhuang, Zicheng Liu, Jianping Dong, Dequan Guo, Guoquan Yuan, Bo Liu, Yu Liu

“…However, challenges related to data integrity, computing resources sufficiency, and deep learning models deploying. …”
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Structural mechanisms of formation of adiabatic shear bands by Mikhail Sokovikov, Dmitry Bilalov, Vladimir Oborin, Vasiliy Chudinov, Sergey Uvarov, Yuriy Bayandin, Oleg Naimark

“…The subsequent processing of 3D deformation relief data enabled estimation of the distribution of plastic strain gradients at different time of plug formation and ejection. …”
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The risks of internet addiction: Structure and characteristics of perception by G. F. Romashkina, R. R. Khuziakhmetov

“…The authors carried out a detailed socio-statistical analysis of internet risks for children based on the self-assessments of all respondents (with the identification of socio-demographic groups), risk assessments for children, according to parents. The structure of “Parents” sub-sample on gender and settlement type is proportional to the structure of the main sample. …”
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A novel сalcium trifluoroacetate structure by A. A. Vasilyeva, T. Yu. Glazunova, D. S. Tereshchenko, E. Kh. Lermontova

“…The complex was deposited in the Cambridge Structural Data Bank with a deposit number CCDC 2081186. …”
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Corticolimbic Structural Deficits in Violent Patients with Schizophrenia by Maria Athanassiou, Alexandre Dumais, Inès Zouaoui, Alexandra Fortier, Luigi de Benedictis, Olivier Lipp, Andràs Tikàsz, Stéphane Potvin

“…<b>Conclusions</b>: These findings underscore disruptions in the structural integrity of the dlPFC—responsible for inhibitory control—and the amygdala—central to emotional processing in violent patients with Sch. …”
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Structural Changes in the Dynamics of China’s Exports and Imports by V. V. Narbut, T. I. Chinaeva, E. I. Larionova

“…During the work, dynamic, structural analysis of analytical and statistical information was used; methods of analytical, logical, systemic, correlation and regression analysis were used, as well as analysis of structural changes. …”
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Analysis of strengths, weaknesses, opportunities, and threats: Analytical hierarchy process based dental waste management in Odisha by Somalee Mahapatra, Manoranjan Dash, Subhashis Mohanty

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Morphological similarity and white matter structural mapping of new daily persistent headache: a structural connectivity and tract-specific study by Di Zhang, Fangrong Zong, Yanliang Mei, Kun Zhao, Dong Qiu, Zhonghua Xiong, Xiaoshuang Li, Hefei Tang, Peng Zhang, Mantian Zhang, Yaqing Zhang, Xueying Yu, Zhe Wang, Yong Liu, Binbin Sui, Yonggang Wang

“…The objective of this work is to explore the fiber tracts and structural connectivity, which can help reveal unique gray and white matter structural abnormalities in NDPH. …”
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Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi

Subjects: “…data-driven…”
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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Specifically, a multi-view co-association matrix optimization objective function with doubly-stochastic constraints is first designed to capture the cross-view cluster structure. Then, a multi-view cluster structure guided one-class BLS-autoencoder (MOCBLSAEs) is proposed, which learns the discriminative patterns of normal traffic data by preserving the cross-view clustering structure while minimizing the intra-view sample reconstruction errors, thereby enabling the identification of unknown intrusion data. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

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A Deep Learning Method for the Automated Mapping of Archaeological Structures from Geospatial Data: A Case Study of Delos Island by Pavlos Fylaktos, George P. Petropoulos, Ioannis Lemesios

“…By combining these state-of-the-art technologies, this study demonstrates the algorithm’s effectiveness at recognizing and segmenting the ancient structures within the archaeological site of Delos, Greece. …”
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Machine learning-based classification of geological structures from magnetic anomaly data: Case study of Northern Nigeria basement complex by Ema Abraham, Ayatu Usman, Ifunanya Amano

“…This study applies a machine learning framework to geomagnetic data to enhance the identification of subsurface mineralized structures. …”
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Fatigue strength of welded aluminum structures – A re-evaluation of fatigue data of welded aluminum joints with nominal stress approach by Juho Havia, Antti Ahola, Timo Björk

“…This work analyzes the applicability of the nominal stress approach to welded aluminum joints, with respect to the second generation of Eurocode 9: Design of Aluminium Structures and recommendations of International Institute of Welding, utilizing experimental fatigue test data extracted from existing relevant literature. …”
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Real-time data in cancer registries: Validation of an automated data extraction system by Sylvie A.M. Langhout, Sjoerd J.F. Hermans, Anna J.T. Smit, Elizabeth Berkx, Sophie A. Kurk, Keetje J. Schade, Eduardus F.M. Posthuma, Otto Visser, Jan J. Cornelissen, Peter C. Huijgens, Jurjen Versluis, Maarten van der Wilt, Avinash G. Dinmohamed

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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…These datasets pose challenges due to the complexity of the vascular tree, making it difficult to convert raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data into meaningful representations. Without proper reconstruction, skeletonization, and graph representation, raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data remains an unstructured point cloud, unsuitable for quantitative analysis. …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 2; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Analysis of Development Patterns of Built Land and Spatial Structure in Bandung City Using Landsat 8 Image Data by Mukhoriyah Mukhoriyah, Samsul Arifin, Esthi Kurnia Dewi, Silvia Silvia

“…This study aims to analyze the development pattern of built land and the spatial structure of Bandung City. The data used are the 2015-2020 Landsat 8 time series imagery, the 2019 SPOT-6 imagery, and the administrative boundary map. …”
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Low-Rank Representation and Data Compression of Full-Field Displacement Maps for Structural Modal Analysis and Damage Identification by Yankun Li, Yu Huang, Ziguang Li, Zhiping Yin, Shancheng Cao

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