Structural and functional status of myocardium and signal-averaged electrocardiogram data in essential arterial hypertension patients by V. I. Ruzov, R. Kh. Gimaev, V. A. Razin, O. V. Lukyanenko, A. N. Sapozhnikov, S. A. Sharangin

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Evaluation of the structural changes of the hand joints and the rates of rheumatoid arthritis progression according to ultrasound data by Rita Aleksandrovna Osipyants, D E Karateev, E Yu Panasyuk, G V Lukina, A V Smirnov, S I Glukhova, E N Aleksandrova, A V Volkov, E L Nasonov

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From test data to FE code: a straightforward strategy for modelling the structural bonding interface by M. A. Lepore, M. Perrella

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Delineation of structural lineaments of Shaki West Southwestern Nigeria using high resolution aeromagnetic data by Omonike Adedokun, Olagoke Oladejo, Kehinde Alao, Emmanuel Adeniyi, H. Otobrise Otobrise, Kamaldeen Suleman, Theophilus Adagunodo, Dr. Adedokun O., Lukman Sunmonu

“…Therefore, this study is aimed at delineating the structural lineaments of Shaki West Southwestern Nigeria using High Resolution Aeromagnetic Data (HRAD) to identify the underlying basement geology and define the structural framework of the study area. …”
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An Efficient Interpretable Visualization Method of Multidimensional Structural Data Matching Based on Job Seekers and Positions by Guoliang Si, Hengyi Lv, Hangfei Yuan, Dan Xie, Ce Peng

“…In this paper, we propose an efficient interpretable visualization method of multidimensional structural data matching based on job seekers and positions. …”
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Association of IL-17A levels with immuneinflammatory profile and structural MRI data in patients with schizophrenia by I. K. Malashenkova, V. L. Ushakov, S. A. Krynskiy, D. P. Ogurtsov, N. A. Khailov, A. Yu. Ratushnyy, E. I. Chekulaeva, N. V. Zakharova, G. P. Kostyuk, N. A. Didkovsky

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Prevalence rate of structural scoliosis in school children of Novosibirsk according to the computed optical topography data by V. N. Sarnadskiy, M. V. Mikhaylovskiy, T. N. Sadovaya, T. N. Orlova, S. B. Kuznetsov

“…The purpose of the paper is to study the prevalence of structural scoliosis among 6–18 year-old school children from Novosibirsk using the computed optical topography (COMOT) data.Materials and methods. …”
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DDtrek: A PyMOL-Based Management System for 3D Structural Data Series by Evgenii M. Osipov, Sergei V. Strelkov

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The relationship of arrhythmias with structural and functional heart changes according to the echocardiography data in the adult population of the Arctic by E. V. Zatonskaya, G. V. Matyushin, N. G. Gogolashvili, N. Ya. Novgorodtseva

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Agnes high, Western Desert, Egypt: A structural study in view of potential data modelling by A.A. Azab

“…These integrated approaches were accomplished in regional and shallow senses along two profiles, for better obtaining source parameters and finding out the structural style. Results of the qualitative analysis show that Agnes high gravity and magnetic association is mainly caused by a near surface igneous intrusion of NW orientation. …”
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Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data by Sergio Cofre-Martel, Philip Kobrich, Enrique Lopez Droguett, Viviana Meruane

“…The approach is validated and exemplified by means of two case studies involving a mass-spring system and a structural beam where training data are generated from finite element models that have been calibrated on experimental data. …”
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From test data to FE code: a straightforward strategy for modelling the structural bonding interface by M. A. Lepore, M. Perrella

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Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords by Mouna Garai, Maha Sliti, Noureddine Boudriga, Manel Mrabet, Sarra Ayouni, Abdelrahman Elfikky, Ayman Boghdady, Syed Agha Hassnain Mohsan, Lassaad Ben Ammar

“…This study introduces a tree-structured communication architecture utilizing hierarchical optical codewords to enhance data routing efficiency and establish a vehicle identification system. …”
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Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…Recent developments extend this foundation through higher-order structures, such as hypergraphs, multilayer, and temporal networks, which better capture complex real-world interactions. …”
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Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data. by Nathan J Hostetter, Nicholas J Lunn, Evan S Richardson, Eric V Regehr, Sarah J Converse

“…We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. …”
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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. …”
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Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification by Radiah Haque, Hui-Ngo Goh, Choo-Yee Ting, Albert Quek, M.D. Rakibul Hasan

“…The primary objective is to determine whether converting structured data into text format improves model accuracy. …”
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Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study by Charlotte A W Albers, Yvonne Wieland-Jorna, Martine C de Bruijne, Martin Smalbrugge, Karlijn J Joling, Marike E de Boer

“…The findings will be used to formulate recommendations aimed at enhancing standardized and structured data recording for the reuse of EHR data. …”
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Diagnostics of Structural Thinking of Bachelors of Pedagogical Education as a Universal Pedagogical Competence by Daria A. Barkhatova, Daria S. Grushentseva

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Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art by Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido, Alessandro VItale

Subjects: “…Structural health monitoring…”
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