Medical exposure of patients from diagnostic X-ray examinations performed in medical organizations of the Russian Federation in 2022 by A. A. Bratilova, A. N. Barkovsky

“…Ramzaev, as well as received as part of radiation-hygienic passportization from the Federal Medical and Biological Agency of the Russian Federation, the Ministry of Defense of the Russian Federation, and the Federal Service for the Execution of Punishments of the Russian Federation. The data on the structure of doses from medical exposure of the public in the regions of the Russian Federation and Russia as a whole in 2022, as well as on the dynamics of these indicators for the last 5 years are presented. …”
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Temporal evolution and factors influencing visual function and RNFL thickness in ethambutol-associated optic neuropathy by Taimin Guo, Yue Fu, Xiaoyu Xu, Xiaoning Liu, Yurong Zhang, Hui Yang

“…Abstract Purpose This study aimed to investigate the temporal evolution and influencing factors of visual function and optic nerve structure in ethambutol-associated optic neuropathy (EON). …”
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Percepção de pacientes cirúrgicos sobre segurança e seu envolvimento no cuidado à saúde [Surgical patients' perception of safety and their involvement in health care] [Percepción d... by Helga Xavier Souza, Aline Branco Amorim de Almeida Sacramento, Lorena Villa Dantas, Thatianny Tanferri de Brito Paranaguá

“…Method: in this qualitative, exploratory study of 14 postoperative patients, data were obtained by semi-structured interview in 2016 at a rehabilitation hospital, and analyzed taking Bardin as the theoretical framework. …”
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Optimization of the Pedagogical Process in Teaching Chemistry to First-Year Students of the Ural State Medical University by E. Yu. Ermishina, N. A. Naronova, N. N. Kataeva, K. O. Golitsyna, N. A. Belokonova

“…Statistical processing of data on exam results and rating scores in the semester was carried out in the Microsoft Excel 2019 program. …”
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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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DAPSS: A Novel Network for DOM Assisted Oblique Photography Point Cloud Semantic Segmentation by Zhenzhen Song, Mingqiang Guo, Liang Wu, Heng Liu, Ying Huang, Zheng Liu

“…Compared to point clouds, digital orthophoto maps (DOMs) has a more structured data format, allowing for better recognition of small-scale surface features. …”
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Wood Gasification Biochar as an Effective Biosorbent for the Remediation of Organic Soil Pollutants by Elisabetta Loffredo, Nicola Denora, Danilo Vona, Antonio Gelsomino, Carlo Porfido, Nicola Colatorti

“…High porosity (0.07 cm³ g⁻¹) was demonstrated by the density functional theory (DFT) method, while Fourier transform infrared (FT-IR) spectroscopy highlighted the presence of a prominent aromatic structure and the abundance of reactive functional groups responsible for the binding of the compounds. …”
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Comparative Analysis of Hybrid Attention and Progressive Layering Through a Comprehensive Evaluation of ARU-Net and PLU-Net in Brain Tumour Segmentation by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Muhammad Ovais Akhter, Tahira Anwar, Fahad Farooq

“…On the other hand, PLU-Net uses a cascaded, multi-stage structure enhanced by attention gates and multi-scale data augmentation where the main emphasis is a progressive boosting of accuracy levels at multiple resolutions to guarantee high boundary accuracy. …”
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Home-Based Lower Limb Exercises for Individuals with Diabetes: A Scoping Review by Sylwia Bęcławska, Michalina Błażkiewicz, Piotr Czyżewski, Tomasz Rutkowski, Jacek Wąsik

“…Adherence rates varied across studies but were generally higher when programs included structured guidance through educational booklets, mobile applications, or consistent phone follow-ups ranging from 41% to 92.5%. …”
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Correct/Incorrect Analysis of Responses When Estimating the Cognitive Function of Spontaneous Language in the Elderly by Toshiharu Igarashi, Katsuya Iijima, Kunio Nitta, Yu Chen

“…In recent years, research utilizing conversational data from spontaneous speech to estimate cognitive functions in older adults has increased. …”
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