Assessing Oral Health-Related Quality of Life in Older Tennessean Adults by Yeleeya Y. Li, Ying Liu, Memunat Ogunmefun, Kesheng Wang

“…Factor Analysis (FA) with oblique rotation was conducted to explore the underlying factor structure of the OHIP questionnaire set. A <i>p</i> < 0.05 was considered statistically significant. …”
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Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors by Vikas R. Bhat, Karunakar Kotegar, H. Anitha

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Effects of different mobility concepts in new residential areas by Matthias Heinrichs, Stefanie Schöne, Jakob Geischberger, María López Díaz

“…The age and size structure of these households turn out to be different from the neighboring households. …”
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Prospects for the development of the energy complex of the North-East of Russia by N. S. Volotkovskaya, A. S. Semenov, Y. V. Bebikhov, V. A. Shevchuk, O. V. Fedorov

“…Analysis of the current state and assessment of scenarios for the development of the energy sector of the republic's economy showed an increase in the reliability of power supply systems when organizing a "ring" in the Western Energy District; increase in useful electricity consumption by 2030; increase in electricity production; changes in the structure of electricity production.…”
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Land Use and its Impact on Agricultural Productivity in Mutara Sub-County Mitooma District. by Tusingwire, Pamellah

“…Purposive and simple random sampling techniques were used, and data was collected using questionnaires and interview guides. …”
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New Insights into the Phylogeographic History of <i>Dirofilaria immitis</i> in the Canary Islands, Spain by Rodrigo Morchón, Alfonso Balmori-de la Puente, Manuel Collado-Cuadrado, Iván Rodríguez-Escolar, Noelia Costa-Rodríguez, Elena Infante González-Mohino, Elena Carretón, José Alberto Montoya-Alonso

“…To obtain a more complete understanding of its evolutionary history, structure and genomic diversity, comparative studies using next-generation sequencing data from endemic areas are needed, which will help in the long term to implement monitoring and control measures in a given area and to better understand its global phylogeographic history.…”
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Deep Learning-Based Safety Helmet Detection in Engineering Management Based on Convolutional Neural Networks by Yange Li, Han Wei, Zheng Han, Jianling Huang, Weidong Wang

“…Video monitoring systems provide a large amount of unstructured image data on-site for this purpose, however, requiring a computer vision-based automatic solution for real-time detection. …”
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A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition by Jian Wang, Yanan Zhou, Qi He, Wenbo Zhang

“…Multimodal amed entity recognition (MNER) is a natural language-processing technique that integrates text and visual modalities to detect and segment entity boundaries and their types from unstructured multimodal data. Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. …”
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Named Entity Recognition in Online Medical Consultation Using Deep Learning by Ze Hu, Wenjun Li, Hongyu Yang

“…This can provide important data support for constructing more powerful online medical consultation knowledge graphs and improving virtual intelligent health assistants. …”
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Predictors of Islamic Financial Inclusion in the Northwest Nigeria: A Preliminary Cross-Sectional Investigation by Shehu Usman Rano Aliyu, Abubakar Hamid Danlami, Farida Mohammed Shehu

“…Leveraging on expositions in both the theoretical and empirical literature on dimensions of financial inclusion; access, use, quality, and barriers, this study constructs three logistic regression models based on access to financing facilities, access through automated teller machine (ATM), and access using unstructured supplementary service data (USSD) banking code. …”
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Effectiveness of teaching motivational interview technique to third professional year medical students to improve counseling skills – An interventional study by Govindaraju S. L. Manojna, B. Devi Madhavi

“…Antenatal and postnatal mothers completed a pre- and posttest questionnaire before and after being educated by trained medical students; later, the students completed a perception questionnaire regarding their confidence. Data were analyzed using SPSS version 17, and student perceptions were presented as percentages. …”
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Intraday and Post-Market Investor Sentiment for Stock Price Prediction: A Deep Learning Framework with Explainability and Quantitative Trading Strategy by Guowei Sun, Yong Li

“…This research provides methodological innovations for processing temporal unstructured data in finance, while the SHAP framework offers regulators and investors actionable insights into sentiment-driven market dynamics.…”
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Experiences of Gender-Based Violence Victims During COVID-19 Lockdown in the Selected Region F of Gauteng Province, South Africa by Carol Nontyatyambo Mbokodo, Azwinndini Gladys Mudau, Rachel Lebese

“…Thematic analysis was employed to scrutinize the data and ethical protocols and trustworthiness were meticulously observed throughout the study. …”
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Someone Like Me: A Trial of Context-Responsive Science as a Mechanism to Promote Inclusion by Jane Essex, Kirsty Ross, Ingeborg Birnie

“…The latter considers how the participants’ assessment of the interventions, implemented by writing or drawing on a blank postcard, was designed to provide unstructured responses and explores what the resulting data revealed about the impact of the interventions. …”
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Profiling 4C Skills Through PISA-Based Mathematics Tasks: A Contextual Analysis of Junior High School Students by Sinta Dameria Simanjuntak, Sahat Saragih, Israil Sitepu, Sondang Noverica

“…Employing a qualitative descriptive design, data were collected from 31 students using two PISA tasks and an unstructured teacher interview. …”
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Systemic Dynamics of Knowledge Sharing and Digital Transformation: Evidence from Bhutanese MSEs by Rob Kim Marjerison, Jin Young Jun, Jong Min Kim

“…Drawing on an integrative theoretical framework combining diffusion of innovations theory, the resource-based view, and institutional theory, survey data from 217 MSEs were analyzed using regression and interaction modeling techniques. …”
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A Systematic Literature Review of Financial Product Recommendation Systems by Di Wu, Xuhui Li

“…Exploring the potential correlations among financial time series enables accurate and rapid prediction of price trends. Characterizing unstructured data using text-mining techniques can improve the accuracy of the model. …”
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Comparative effectiveness of small bowel decompression methods in patients with benign small bowel obstruction: results of a multicenter non-randomized controlled retrospective stu... by B. V. Sigua, A. E. Demko, S. V. Petrov, V. А. Samarcev, A. A. Zavrazhnov, P. A. Kotkov, I. A. Solov’ev, E. V. Nishnevich, I. V. Mikhin, I. Ia. Bondarevskiy, A. V. Glebova, M. P. Kuznetsova, A. A. Kurkov, V. P. Zemlyanoy

“…No effect of nasointestinal intubation on the frequency and structure of non-lethal complications was found, which couldn’t be said about postoperative mortality, which was the highest in the group of patients with long intestinal tubes. …”
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Enhanced analysis of the genomic diversity of Mycobacterium bovis in Great Britain to aid control of bovine tuberculosis by Prizam Sandhu, Javier Nunez-Garcia, Stefan Berg, Jo Wheeler, James Dale, Paul Upton, Jane Gibbens, R. Glyn Hewinson, Sara H. Downs, Richard J. Ellis, Eleftheria Palkopoulou

“…Based on the observed phylogenetic structure, we present a SNP-based classification system that replaces the genotype scheme that had been used until recently in GB. …”
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Alcohol consumption patterns in Russia according to the ESSE-RF study: is there a COVID-19 trace? by S. A. Maksimov, S. A. Shalnova, Yu. A. Balanova, A. V. Kontsevaya, A. E. Imaeva, V. A. Kutsenko, G. A. Muromtseva, M. B. Kotova, N. S. Karamnova, S. E. Evstifeeva, A. V. Kapustina, O. A. Litinskaya, M. S. Pokrovskaya, E. B. Yarovaya, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. S. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radjabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, M. V. Esina, T. A. Kunyaeva, A. M. Nikitina, N. V. Savvina, Yu. E. Spiridonova, A. Keskinov, A. Yu. Yakovchik, V. S. Yudin, S. M. Yudin, O. M. Drapkina

“…Data from following cross-sectional sections of the ESSE-RF study were used: 2013-2014, 2017, 2020-2022. …”
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