Primary headache and myofascial pain: a data based study by Raul Elton Araújo Borges, Priscila Brenner Hilgenberg Sydney, Angelo Giuseppe Roncalli, Paulo César Rodrigues Conti, Patrícia dos Santos Calderon

“…The primary diagnostic categories of headache and myofascial pain were recorded. Data analyses were carried out by Pearson Chi-square and Logistic Regression, with a p-value of 0.05. …”
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Topological Data Analysis and Graph-Based Learning for Multimodal Recommendation by Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi

“…Our approach captures higher-order dependencies and global structural patterns in multimodal data, enhancing the robustness and expressiveness of the representations we learn. …”
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Kinematics of the Kashmir Himalaya: Inferences from geological and geodetic data by Ahsan Afzal Wani, Bikram Singh Bali, Sareer Ahmad Mir, Mohammad Irfan Wani

“…The GPS data sourced from the permanent GPS network in the Kashmir Himalaya were utilized to quantify both vertical and horizontal deformation rates in the Kashmir Valley of the northwestern Himalaya. …”
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How to use relevant data for maximal benefit with minimal risk: digital health data governance to protect vulnerable populations in low-income and middle-income countries by Nicki Tiffin, Asha George, Amnesty Elizabeth LeFevre

“…The potential benefits of strengthening health systems and improving health outcomes through the digital health environment thus come with a concomitant need to implement strong data governance structures and ensure the ethical use and reuse of individuals’ data collected through digital health programmes. …”
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589 Who you gonna call? The Data Group: Creating a team and process for responding to evolving data needs of a limited health benefits program by Danielle Stollar, Albeliz Santiago-Colón, Kendra Smith, Nicholas Chovancek, Ruiling Liu, Kevin Pressley, Rachael Shaw

“…These activities generate an abundance of administrative and surveillance data. The Data Group was formed to establish structures and processes that would be adaptable and efficient in leveraging these data. …”
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Reorganization of structural connectivity in the brain supports preservation of cognitive ability in healthy aging by Josh Neudorf, Kelly Shen, Anthony R. McIntosh

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A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure by Wenmao Wu, Zhizhou Yu, Jieyue He

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Navigae : un outil polyvalent pour valoriser et visualiser les données géographiques patrimoniales by Shadia Kilouchi, Julien Homo, Kevin Darty

“…It makes it possible to access and visualize digital data from research structures or libraries, according to query and cartographic visualization modes. …”
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Stratégies des Premiers Peuples au Canada concernant les données numériques : décolonisation et souveraineté by Karine GENTELET, Alexandra BAHARY-DIONNE

“…We present various observations that we believe would support the idea that First Peoples’ digital strategies that are based on traditional epistemologies and informational control structures would make it possible to implement a decolonized governance of the digital data that concerns them. …”
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Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization by Yutao Dou, Wei Li, Yangtao Zheng, Xiaojun Yao, Huanxiang Liu, Albert Y. Zomaya, Shaoliang Peng

“…Our method can fully integrate different data structures into a time-series table, including structured, semi-structured, and unstructured data. …”
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Pattern analysis using lower body human walking data to identify the gaitprint by Tyler M. Wiles, Seung Kyeom Kim, Nick Stergiou, Aaron D. Likens

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Retrieval Augmented Generation Data Query Technique for Pineapple Cultivation by Badril Abu Bakar, Siti Noor Aliah Baharom, Mohd Taufik Ahmad, Mohd Nizam Zubir, Adli Fikri Ahmad Sayuti, Mohd Aufa Mhd Bookeri

“…Results showed that the models had a 78% - 87% correct answer rate for structured and   75% - 79% correct answer rate for unstructured data. …”
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Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

“…This sensor-based data is categorized as either structured or unstructured data. …”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

“…Additionally, the feasibility of using the Large Language Model for personal data recognition was explored. The research culminated in the development of a personal data recognition method that combines Artificial Intelligence language model with rule-based algorithms, capable of identifying personal data in structured and unstructured information. …”
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Impact of land resource misallocation on carbon emission efficiency: empirical evidence from 274 cities in China by Zhongqi Wen, Woon-Seek Lee, Sheen Woo

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Development levels for time planning model ofroad constru ction at design stages by T. V. Bobrova, E. A. Pokalyukhina

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Field-level Comparison and Robustness Analysis of Cosmological N-body Simulations by Adrian E. Bayer, Francisco Villaescusa-Navarro, Sammy Sharief, Romain Teyssier, Lehman H. Garrison, Laurence Perreault-Levasseur, Greg L. Bryan, Marco Gatti, Eli Visbal

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The fault systems that control the occurrences of iron ore deposits in northeastern Aswan, Egypt by Mohamed Abd El-Wahed, Ibrahim A. Salem, Mohamed Attia, Dina Younis

Subjects: “…Multi-sensor remote sensing data…”
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From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account by Tao Shen, Fulu Kong, Shuai Yuan, Xueying Wang, Di Sun, Zongshuo Ren

Subjects: “…data-driven urban analysis…”
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Integrated framework for assessing green efficiency in European union countries: A hybrid ISM-NDEA approach by Afarin Rezaei, Hoda Moradi, Alireza Anvari

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