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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Adaptive cultural mediation through HBIM and VR: enhancing personalized experiences via thematic data structuring by N. El Barhoumi, H. Radoine, R. Hajji, H. Harmouche

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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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Comparison of hydrothermal structure of two glaciers in Spitsbergen and Tien Shan based on radio-­echo sounding data by Yu. Ya. Macheret, A. F. Glazovsky, E. V. Vasilenko, I. I. Lavrentiev, V. V. Matskovsky

“…In case study of Austre Grønfjordbreen in Spitsbergen and Central Tuyksu glacier in Tien Shan we consider the features of their hydrothermal structure in spring and summer periods using the data of ground-based radio-­echo sounding at frequency of 20 MHz. …”
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Structure of rheumatic diseases among adult population of Russia according to data of an epidemiological study (preliminary results) by E A Galushko, T Y Bolshakova, I B Vinogradova, O N Ivanova, O M Lesnyak, L V Menshikova, T N Petrachkova, S F Erdes

“…Preliminary results of program diagnostic stage demonstrated significance of joint pathology problem and allowed to get the first data about structure of RD among adult inhabitants of Russia.…”
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Incidence and structure of sudden cardiac death among working population of the Bryansk region. GERMINA register data by R. M. Linchak, A. M. Nedbaykin, E. V. Sementsova, I. A. Yusova, V. V. Strukova

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The vertical structure of the eastern Pacific ITCZs and associated circulation using the TRMM Precipitation Radar and in situ data by L. Huaman, K. Takahashi

“…Reanalysis and satellite‐based data are shown to be unreliable for describing the vertical structure of the circulation.…”
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DEEP STRUCTURE OF THE SIBERIAN PLATFORM – CENTRAL ASIAN MOBILE BELT TRANSITION ZONE FROM TELESEISMIC DATA by V. V. Mordvinova, M. M. Kobelev, A. V. Treussov, M. A. Khritova, D. S. Trynkova, E. A. Kobeleva, O. F. Lukhneva

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Detection and functional assessment of structural variants using whole-genome re-sequencing data in Nellore cattle by Natalia A. Marín-Garzón, Lucio F. M. Mota, Giovana Vargas, Leonardo M. Arikawa, Larissa F. S. Fonseca, Gerardo A. Fernandes Júnior, Roberto Carvalheiro, Lucia G. Albuquerque

“…Thus, this study aimed to detect structural variants using whole genome re-sequencing (WGS) data and identify positional candidate genes and quantitative trait loci (QTL) overlapping the most frequent SV regions in Nellore cattle. …”
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The structure of long tubular bones fractures of lower extremity by the data of the regional bureau of forensic-medical examination by Savka I.H., Bachynsky V.T., Bezhenar I.L.

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Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties by Fredi Alegría, Eladio Martínez, Claudia Cortés-García, Quirino Estrada, Andrés Blanco-Ortega, Mario Ponce-Silva

Subjects: “…structural damage…”
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Mapping the Intellectual Structure of Tourism Event Research: A Bibliometric Study Based on Web of Science Data by Lenka Baricová, Kristína Pompurová

“…Citation analysis identifies seminal works that have shaped the intellectual structure of event tourism, with Donald Getz emerging as the most influential author. …”
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Identification of the Geological Structure of Jagoi Babang District and Surrounding Areas in Bengkayang Regency Using Gravity Data by Deni Alpito Saputra, Zulfian Zulfian, Radhitya Perdhana

“…The regional anomaly of the study area is 37.5 mGal to 46 mGal, while the residual anomaly is -6 mGal to 8 mGal. Residual anomaly data is used for modeling subsurface structures and Second Vertical Derivative (SVD) analysis of 2 trajectories. …”
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Data analysis of the structure and use of library collections available in public libraries in Ljubljana between 1990 – 2000 by Mateja Ločniškar-Fidler

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Intraspecific structure of Myotis petax Hollister, 1912 (Chiroptera: Vespertilionidae) based on mitochondrial DNA and morphological data by Uliana V. Gorobeyko, Denis V. Kazakov, Anastasia A. Kadetova, Irina N. Sheremetyeva, Valentin Yu. Guskov, Irina V. Kartavtseva, Nikolai E. Dokuchaev, Evgeniy S. Zakharov, Sergei V. Kruskop

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Blue shark conservation in the Indian Ocean: data-limited insights on population structure, distribution, and stock assessments by Hoang Huy Huynh, Chun-Yi Hung, Sheng-Ping Wang, Wen-Pei Tsai

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Baby Cry Classification Using Structure-Tuned Artificial Neural Networks with Data Augmentation and MFCC Features by Tayyip Ozcan, Hafize Gungor

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Drug Therapy Structure and Clinical Characteristics of Patients with Atrial Fibrillation According to Data of REKUR-AF Study by I. L. Polshakova, S. V. Povetkin

“…In the framework of the database of patients with atrial fibrillation established in the Kursk region, to study the clinical and anamnestic indicators, the structure of the combined and concomitant diseases in the patients under study, and also to evaluate the usefulness of the diagnostic methods of the study and drug therapy of this pathology.Material and methods. …”
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Barriers to the Adoption of Big Data Analytics in Saudi Arabia’s Manufacturing Sector: An Interpretive Structural Modeling Approach by Almuhannad S. Alorfi, Naif Alsaadi

“…However, there exist several barriers that undermine the successful adoption of big data analytics in these industries. This paper presents a structural analysis of the barrier to big data analytics adoption in manufacturing industries. …”
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Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

“…The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. …”
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