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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Change probability-aware graph for multimodal change detection by Te Han, Yuqi Tang, Yuzeng Chen, Yuqiang Guo, Bin Zou, Huihui Feng

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Use of innovative digital technologies in the sphere of remote interaction of industrial structures by E. S. Belyaeva, A. Yu. Ershov

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The use of space geophysics data to establish a subsurface structural frameworks map on East Uweinat ring complexes province, Southwestern Desert, Egypt by Yaseen AAMER, Ashraf GHONEIMI, Salah HANAFY, Mohamed H. M. YOUSEF, Sara ZAMZAM

“…A qualitative and quantitative interpretation is used to highlight the subsurface geological picture and structure framework. The integration of these data helps to understand the subsurface structural framework and provide insights into the geological evolution of the region. …”
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Connectivity and community structure of online and register-based social networks by Márton Menyhért, Eszter Bokányi, Rense Corten, Eelke M. Heemskerk, Yuliia Kazmina, Frank W. Takes

“…Abstract The dominance of online social media data as a source for large-scale social network studies has recently been challenged by networks constructed from state-curated register data. …”
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Behavioral factors and capital structure: identification and prioritization of influential factors by Ehsan Ahmadi, Parastoo Mohammadi, Farimah Mokhatab Rafei, Shib Sankar Sana

“…Future investigations can be benefited from integrating broader market data, such as share price movements, to further refine insights into the dynamic interplay of behavior and capital structure.…”
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SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms by Seán I O’Donoghue, Andrea Schafferhans, Neblina Sikta, Christian Stolte, Sandeep Kaur, Bosco K Ho, Stuart Anderson, James B Procter, Christian Dallago, Nicola Bordin, Matt Adcock, Burkhard Rost

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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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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

“…The final dataset includes structured metadata such as media elements (images, videos, and URLs), user engagement metrics (likes, retweets, replies), hashtags, language codes, and temporal indicators (hour and weekday of posting). …”
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Graph Neural Networks for Analyzing Trauma-Related Brain Structure in Children and Adolescents: A Pilot Study by Harim Jeong, Minjoo Kang, Shanon McLeay, R. J. R. Blair, Unsun Chung, Soonjo Hwang

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Developing organization structure of retail enterprises (on the example of the Czech Republic) by Aleksandr L. Bobkov, Igor V. Denisov, Oksana V. Kuchmaeva

“…The authors’ hypothesis is that these two types of structures – consequent and parallel – replace each other dialectically, and change qualitatively in the process of enterprises growth, but, at the same time, they maintain their constitutive properties at each level of organizations development.The retail sector was chosen as the object of analysis, since the generalized organizational structure in it is characterized by separate sales outlets, which makes it possible to conduct statistical processing of data. …”
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Modeling of Regional Development Using a Structural Approach: Principles, Tools and Experience of Their Application by Yu. V. Vertakova, O. S. Prokopenko

“…To solve the priority task of the Russian Federation to ensure the effective socio-economic and sustainable development of the regions, it is necessary to carry out an adequate structural policy, the main purpose of which is to form a rational and balanced structure of the economy that can ensure the effective development of the region’s economy. …”
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Effects of Social Structure on Effective Population Size Change Estimates by Bárbara Ribeiro Parreira, Shyam Gopalakrishnan, Lounès Chikhi

“…The detection, quantification, and dating of demographic changes often rely on the assumption that population structure can be neglected. However, most vertebrates are typically organized in populations subdivided into social groups that are usually ignored in the interpretation of genetic data. …”
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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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Experimental electronic structures of copper complexes with a biphenyldiimino dithioether – a model for blue copper proteins by Marek Fronc, Martin Breza, Lukáš Bučinský, Ingrid Jelemenská, Jozef Kožíšek

Subjects: “…electronic structures…”
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The Influence of Profitability, Sales Growth, Asset Structure, and Liquidity on Capital Structure in Food and Beverage Sub-Sector Companies Listed on the Indonesia Stock Exchange 2... by Desi Syafitri, Fauzan Fauzan

“…The sample selection follows purposive sampling criteria, ensuring data completeness and consistency. Capital structure, measured by the Debt to Equity Ratio (DER), serves as the dependent variable, while independent variables include profitability, sales growth, asset structure, and liquidity. …”
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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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Family structure factors influencing modern contraceptive use in Cameroon based on analysis of 2018–2019 demographic and health survey data by Samira Amadou, Myungken Lee, Jakyoung Lee, Sangyune Kim, Sunjoo Kang

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The Current Status of Structural Monitoring: A Bibliometric Literature Review by Mihai Dorin Isac, Cosmina Cîmpean, Daniela Lucia Manea

“…Monitoring the behavior of structures over time is a defining activity for any type of construction that provides data necessary to assess whether these structures meet requirements for stability and durability. …”
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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

“…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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