IMPROVEMENT OF ADAPTATION TO STRUCTURES REMOVABLE DENTURES IN PATIENTS WITH ISCHEMIC HEART DISEASE by N.A. Ryabushko, V.N. Dvornik, I.V. Pavlish, G.N. Balya

“… • (basic) group consisted of 53 patients who underwent orthopedic structures removable dentures (removable partial dentures plastinochnyh (CHZPP) and who had a history of major diseases - coronary heart disease, stable exertional angina FC II - III FC…”
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The Influence of Building Form Compactness on Energy Efficiency in Accommodation Structures: The Case of Türkiye by Erdem Köymen, Özlem Kahraman

“…Cold climate region structures were preferred because compactness is more comparable in terms of form and provides a constraining plane. …”
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Structures of Community Life in Portuguese Home-Villages: Two Case Studies by Ana Bordalo

“… This study aims to investigate the structures of community life in Portuguese Home-Villages and the consequences of an ageing demographic population; the need to implement home structures for the elderly and on how these can contribute to a revitalization of the depopulated territories. …”
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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

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Yerevan Brickwork Residential Building Architecture and the Importance of Geographic Information Systems (GIS) in Preservation of Architectural Monuments and Structures by Evlin Ordoukhanian, Shahen Shahinyan

“…This research aims to gather and maintain accurate information about brick structures, which significantly impacts their preservation. …”
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State of India's Birds 2023: A framework to leverage semi‐structured citizen science for bird conservation by Ashwin Viswanathan, Karthik Thrikkadeeri, Pradeep Koulgi, Praveen J., Arpit Deomurari, Ashish Jha, Ashwin Warudkar, Kulbhushansingh Suryawanshi, M. D. Madhusudan, Monica Kaushik, Naman Goyal, Rajah Jayapal, Suhel Quader, Sutirtha Dutta, Tarun Menon, Vivek Ramachandran

“…Semi‐structured data are generated and uploaded by birdwatchers to citizen science platforms such as eBird. …”
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Evolution Characteristics of China's Big Food Concept Economic Statistics Data Under the Perspective of Food Security by Dafang WU, Quanyan WANG, Shuaishuai JIA

“…Based on agricultural and related industry statistics, as well as household consumption expenditure surveys, food statistics introduce the data framework of big food economy statistics. Based on agriculture, animal husbandry, and fisheries, food production structure statistics and trend analysis are carried out separately. …”
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Crashworthiness simulation dataset of re-entrant crash box with combined in-plane and out-of-plane filling structureMendeley Data. by Arif Rochman Fachrudin, Moch. Agus Choiron, Anindito Purnowidodo, Yudy Surya Irawan

“…This article presents a dataset generated from finite element simulations of square aluminum crash box with various re-entrant infill structures. The configurations include in-plane, out-of-plane and combined in-plane and out-of-plane geometries. …”
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TRsv: simultaneous detection of tandem repeat variations, structural variations, and short indels using long read sequencing data by Shunichi Kosugi, Chikashi Terao

“…Abstract Tandem repeat copy number variations (TR-CNVs), structural variations (SVs), and short indels have been responsible for many diseases and traits, but no tools exist to distinguish and detect these variants. …”
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A spectral–structural characterization of European temperate, hemiboreal, and boreal forests by M. Rautiainen, A. Hovi, D. Schraik, D. Schraik, J. Hanuš, P. Lukeš, Z. Lhotáková, L. Homolová

“…In this data description paper, we present a dataset on the structural and spectral properties of 58 stands in temperate, hemiboreal, and boreal European forests. …”
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Synchronization lag in post stroke: relation to motor function and structural connectivity by Xin Wang, Caio Seguin, Andrew Zalesky, Wan-wa Wong, Winnie Chiu-wing Chu, Raymond Kai-yu Tong

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Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences by Julia Walsh, Jonathan Cave, Frances Griffiths

“…ObjectiveThe study aims to (1) investigate how combining unsupervised natural language processing (NLP) and corpus linguistics can explore patient perspectives from a large unstructured dataset of modafinil experiences, (2) compare findings with Cochrane meta-analyses on modafinil’s effectiveness, and (3) develop a methodology for analyzing such data. …”
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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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Linearity of Structure Kernels in Main-sequence and Subgiant Solar-like Oscillators by Lynn Buchele, Earl P. Bellinger, Saskia Hekker, Sarbani Basu

“…With the high-precision frequencies obtained using data from the Kepler mission, it has now become possible to study other solar-like oscillators using structure inversions, including both main-sequence and subgiant stars. …”
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SuperBand: an Electronic-band and Fermi surface structure database of superconductors by Tengdong Zhang, Chenyu Suo, Yanling Wu, Xiaodan Xu, Yong Liu, Dao-Xin Yao, Jun Li

“…Abstract In comparison to simpler data such as chemical formulas and lattice structures, electronic band structure data provide a more fundamental and intuitive insight into superconducting phenomena. …”
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D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification by Teng Yang, Song Xiao, Jiahui Qu

“…Nevertheless, GNN faces challenges as the manually defined static graph structure might not accurately capture the complexity of the data. …”
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Research Progress on Structural Performance of Prefabricated Underground Station with Open-Cut Method by XIA Shengxiang, LI Peng, KANG Pengcheng, GUAN Dongzhi, FENG Shuaike

“…The bearing and seismic performance of prefabricated underground structures is mainly investigated by numerical methods, and lacks experimental data on the overall structure. …”
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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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Re-evaluation of the stratigraphy, structural, and depositional environment of Kolmani field, Gongola sub-basin, northeast Nigeria using outcrop data, ditch cutting data, and well log data for enhanced hydrocarbon exploration by Chekwube Nnamdi Didi, Olawale Olakunle Osinowo, Okey Eliseus Akpunonu, Musa Bappah Usman

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Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis by Luis B. Elvas, Rafaela Santos, João C. Ferreira

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