Effect of Heat on Physical, Structural, and Microscopic Properties of Sandstone by Soumen Paul, Nageswara R. Kolikipogu, Hajime Ikeda, Autar K. Raina, Vinod A. Mendhe, Somnath Chattopadhyaya, V. M. S. R. Murthy

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Features of structural and functional changes of the brain in patients with schizophrenia by S. A. Galkin, E. G. Kornetova, A. N. Kornetov, D. A. Petkun, N. A. Bokhan

“…To establish the features of structural and functional changes in the brain in patients with schizophrenia.Materials and methods. …”
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Exploring the Structural Diversity and Biotechnological Potential of the Rhodophyte Phycolectome by Éllen F. Rodrigues, Flavia Alves Verza, Felipe Garcia Nishimura, Renê Oliveira Beleboni, Cedric Hermans, Kaat Janssens, Maarten Lieven De Mol, Paco Hulpiau, Mozart Marins

“…Lectins from Rhodophytes (red seaweed) have been extensively reported and characterized for their unique molecular structures, carbohydrate-binding specificities, and important biological activities. …”
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Reducing access complications in an interdisciplinary structural heart program by Dinah Maria Berres, Markus Schlömicher, Boris Dickmann, Thomas Buck, Justus Thomas Strauch, Farhan Ahmad, Horatiu Coman, Peter Lukas Haldenwang

“…Abstract Background Vascular (VC) and cardiac structural complications (CSC) are frequent complications following transcatheter aortic valve implantation (TAVI). …”
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Composing dynamic programming tree-decomposition-based algorithms by Julien Baste

Subjects: “…computer science - data structures and algorithms…”
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On the Advice Complexity of Online Matching on the Line by Béla Csaba, Judit Nagy-György

Subjects: “…computer science - data structures and algorithms…”
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Approximating optimization problems in graphs with locational uncertainty by Marin Bougeret, Jérémy Omer, Michael Poss

Subjects: “…computer science - data structures and algorithms…”
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STRUCTURAL ABERRATIONS OF 1p36 IN HEMATOLOGIC MALIGNANCIES by Rahiye Dilhan Kuru, Ayşe Çırakoğlu, Şükriye Yılmaz, Şeniz Öngören, Muhlis Cem Ar, Teoman Soysal, Ayhan Deviren, Yelda Tarkan Argüden

“…Objective: Structural aberrations of 1p36 are very common in most hematologic malignancies. 1p36 consists of genes that are important in oncogenesis. …”
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The effect of foreign direct investment on structural transformation in developing countries by Ezo Emako, Seid Nuru, Mesfin Menza

“…This paper investigates the effects of foreign direct investment (FDI) on structural transformation using panel data from 44 developing countries and four newly industrialized countries from 1990 to 2018 by employing the generalized method of moment approach of Arellano-Bond (1991). …”
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Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm by Ping-Feng Xu, Shanyi Lin, Qian-Zhen Zheng, Man-Lai Tang

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The Structural Relationships Between Quality of Life and Mental Conditions in Stoma Patients by Momoka Narumi

“…Objectives: The aim of this study was to elucidate the relationship between the QOL status of stoma patients and the condition of the peristomal skin through structural equation modeling (SEM), which could help provide a comprehensive overview of the factors affecting the health of such patients. …”
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Higher-Order DNA Secondary Structures and Their Transformations: The Hidden Complexities of Tetrad and Quadruplex DNA Structures, Complexes, and Modulatory Interactions Induced by... by Jens Völker, Vera Gindikin, Kenneth J. Breslauer

“…We demonstrate that a short oligonucleotide complementary to a G-quadruplex domain can invade this iconic, noncanonical DNA secondary structure in ways that profoundly influence the properties and differential occupancies of the resulting DNA polymorphic products. …”
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…Here, we showcase a successful example of a data pipeline to efficiently move patient data to the cloud environment for structured storage. …”
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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study by Yuta Okada, Minami Ueda, Hiroshi Nishiura

“…Objectives: To reconstruct age-structured case counts of COVID-19 using sentinel reporting, which replaced universal reporting of COVID-19 from May 2023 in Japan. …”
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Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus by Rosalind Ramsey-Goldman, Theresa L Walunas, Abel N Kho, Anika S Ghosh, Jennifer A Pacheco, Vesna Mitrovic, Andy Wu, Kathryn L Jackson, Ryan Schusler, Anh Chung, Daniel Erickson, Karen Mancera-Cuevas, Yuan Luo

“…We implemented rule-based algorithms using structured data within the EHR system for each attribute of the three classification criteria. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

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Applying a K-means model to TSD data to find categories for the structural assessment of flexible pavements by Mahdi Rahimi Nahoujy

“…Since 2018, the German Federal Highway Research Institute (BASt) has been using a traffic speed deflectometer (TSD) for measurements on network level to assess the structural condition of asphalt pavements. TSD collects a variety of data, such as deflections, temperature and slope values at each measuring point. …”
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Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease by Farideh Momeni, Daryoush Shahbazi-Gahrouei, Tahereh Mahmoudi, Alireza Mehdizadeh

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A dynamic early-warning method for bridge structural safety based on data reconstruction and depth prediction by Yanqing Men, Hu Li, Fengzhou Liu, Yongliang Huang, Mingxin Gao, Xiaohui Wang, Hao Xie, Jianxin Cao

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