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  1. 51201

    Visual Complexity in Korean Documents: Toward Language-Specific Datasets for Deep Learning-Based Forgery Detection by Yong-Yeol Bae, Dae-Jea Cho, Ki-Hyun Jung

    Published 2025-04-01
    “…Furthermore, the detection performance of models trained on English-based datasets varies according to the language of the training and test data. These findings underscore the necessity of developing datasets and model architectures tailored to the linguistic and structural characteristics of each language to enhance forgery detection efficacy. …”
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  2. 51202

    Associations of intimate partner violence and financial adversity with familial homelessness in pregnant and postpartum women: A 7-year prospective study of the ALSPAC cohort. by Caitlin S Chan, Aaron L Sarvet, Archana Basu, Karestan Koenen, Katherine M Keyes

    Published 2021-01-01
    “…Marginal structural models and multiple imputation were used to address time-varying confounding of the primary variables, testing for interaction between concurrent emotional/physical IPV and financial adversity, and adjusted for baseline age, ethnicity, education, partner's alcohol use, parity, depression, and social class.…”
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  3. 51203

    Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

    Published 2024-03-01
    “…This integration simplifies the model by reducing the number of parameters needing adjustment, making it particularly effective for handling imbalanced datasets through an efficient training process; 2) Theoretical analysis demonstrates that ImAUC-PSVM retains the same structural solution as standard PSVM. This similarity means it inherits PSVM's benefits, particularly in addressing progressive CVD scenarios with rapid incremental updates. …”
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  4. 51204

    Technological Anxiety in the Public Sector: Exploring the Impact of Digital Factors on Personnel Performance by Kunxiang Li, Bin Wang

    Published 2024-10-01
    “…Since the purpose of this study is to explore the impact of digital technology on the work performance of public sector personnels, the research objects of this research constituency are a total of 717 public sector personnels from different public sectors. Data were collected from 717 public sector personnels using quantitative research methods and analyzed with a structural equation model in AMOS 28.0. …”
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  5. 51205

    Psychological distress as a driver of early COVID-19 pandemic fatigue: a longitudinal analysis of the time-varying relationship between distress and physical distancing adherence a... by Gillian A M Tarr, Keeley J Morris, Sato Ashida

    Published 2024-12-01
    “…We then used marginal structural models to examine the time-varying effect of distress on future interactions with non-household members as a measure of pandemic fatigue.Results Among families with children, each unit increase in distress at the beginning of the study resulted in a 9% increase in non-household contacts (RR: 1.09; 95% CI: 1.03 to 1.16), but the effect declined with each additional week by 1.8% (ratio of RR: 0.982; 95% CI: 0.971 to 0.993). …”
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  6. 51206

    Digital transformation, organizational agility, and firm performance in emerging markets: Evidence from Vietnam’s machinery sector by Nguyen Khanh Cuong, Nguyen Ngoc-Long, Ho Tien Dung, Than Van Hai

    Published 2025-08-01
    “…The research model was tested using partial least squares structural equation modeling (PLS-SEM). The results reveal that digital orientation (β = 0.585, p < 0.001) and digital capacity (β = 0.240, p < 0.001) significantly promote the adoption of digital transformation. …”
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  7. 51207

    Guided Reinforcement Learning with Twin Delayed Deep Deterministic Policy Gradient for a Rotary Flexible-Link System by Carlos Saldaña Enderica, José Ramon Llata, Carlos Torre-Ferrero

    Published 2025-05-01
    “…Future work will focus on real-time implementation and structural robustness testing under parameter uncertainty. …”
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  8. 51208

    Demographic and Clinical Characteristics of Ankara Haymana Thermal Center Applicants: A Cross-sectional Case Study by Aysun Genç, Aslı Tok Özen, Birkan Sonel Tur

    Published 2019-08-01
    “…Among the reasons for preference of the spa center, the most powerful indicator (n=76, 74.5 ) was determined as the healing of water.Conclusion:In order to analyze the reasons of patient preference and use it as an effective treatment method in the structuring and operation of the balneotherapy centers, it has shown that modern spa treatment principles should be implemented in an integrated way by applying the principles of modern spa treatment.…”
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  9. 51209

    Investigating the Effect of Human Resource Information Systems on Individual Innovation Capacity, with the Mediating Role of Emotional Commitment and Professional Participation in... by Sekineh Lotfi Fard, Amir Ojagh, Lane Wakefield

    Published 2023-03-01
    “…Also, to organize, summarize and describe the sample sizes, descriptive statistics were used, and to test the statistical hypotheses, considering the number of the research sample and disconfirming the presumption of normality of the data distribution, the correlation coefficient, and the structural equation model were used. …”
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  10. 51210

    COVID-19 pandemic and mental health among Hispanic/Latino/a immigrants in the USA: protocol for a scoping review by Faustine Williams, Alicia Livinski, Cameron K Ormiston, Jolyna Chiangong, Dera Tompkins

    Published 2023-12-01
    “…This is especially the case among Hispanic/Latino/a immigrants who face numerous structural and socioeconomic barriers to well-being. …”
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  11. 51211

    Technology of automated video observation of a drogue-sensor basket in the problem of autonomous aerial refueling by A. V. Gaidenkov, M. I. Kanevskiy, A. S. Ostrovskiy, O. I. Ganyak, N. Yu. Chizhov

    Published 2022-09-01
    “…The statement of the problem for automated VBO of a drogue-sensor is formulated. A structural-logical diagram of the automated observation process, including the detection and tracking of a drogue, as well as decision-making by the pilot in various situations, is proposed. …”
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  12. 51212

    Mitigating early age shrinkage in internally cured concrete under extreme dry conditions with MEA and SRA by Xing Xia, Jinjun Guo, Xiangnan Qin, Kun Wang, Peng Zhang

    Published 2025-05-01
    “…The results derived from present study offer a substantive foundation of data and theoretical frameworks to advance structural design as well as operational maintenance in regions characterized by extreme aridity.…”
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  13. 51213

    Proactive Breakthrough or Passive Exhaustion? A Dual-Path Integrated Model Driven by Perceived Overqualification by Chuanhao Fan, Bingbing Shang

    Published 2025-05-01
    “…With the advancement of global economic restructuring and China’s economic transformation, structural employment contradictions have intensified amid increasingly competitive labor markets. …”
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  14. 51214

    Enhancing organizational performance through agility strategies: The mediating effects of green innovation and digital transformation by Yusup Yusup, Arief Subyantoro, R Heru Kristanto HC

    Published 2025-08-01
    “…The analysis was conducted using partial least squares structural equation modeling (PLS-SEM). Results indicate that strategic agility contributes positively to performance, both on its own and by facilitating green innovation and digital transformation. …”
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  15. 51215

    Composition Characterization of Fatty Acid Zinc Salts by Chromatographic and NMR Spectroscopic Analyses on Their Fatty Acid Methyl Esters by Kwang Seo Park, Yun Ju Kim, Eun Kyung Choe

    Published 2019-01-01
    “…To implement EU REACH- (Registration, Evaluation, and Authorization of Chemicals-) like chemical legislations in various countries of which the purpose is human and environment safety, the first step is substance identification followed by the hazard and risk assessments. Although both structural and composition identifications are required, the latter can more importantly result in the essential data to fill out the required substance information such as purity and concentrations of constituents, as well as impurities. …”
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  16. 51216

    Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

    Published 2025-06-01
    “…Background/Objectives: The accurate and efficient segmentation of brain tumors from 3D MRI data remains a significant challenge in medical imaging. …”
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  17. 51217

    Steganographic method of acoustic information protection in critical applications systems by Олександр Можаєв, Юрій Гнусов, Олександр Манжай, Володимир Струков, Віталій Носов, Валерій Радченко, Сергій Єнгаличев

    Published 2023-09-01
    “…Further research is desirable to analyze the possible use of methods for synthesizing large ensembles of quasi-orthogonal discrete signals with improved ensemble, structural, and correlation properties to ensure higher security of acoustic channels in computer systems for critical applications. …”
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  18. 51218

    Examining the Nexus Between Renewable Energy, CO<sub>2</sub> Emissions, and Economic Factors: Implications for Countries Marked by High Rates of Coronary Heart Disease by Raufhon Salahodjaev, Avazbek Sadikov

    Published 2024-12-01
    “…Furthermore, the study emphasizes the necessity of innovative structural reforms in developing countries to stimulate economic growth beyond the EKC turning point, ensuring sustainable development while curbing their carbon footprint resulting from economic activities. …”
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  19. 51219

    Exploring the interplay of personality traits, academic burnout, and academic engagement in dental students by Jaehee Rho, Gieun Nam, Yongmin Shin, Yeeun Byeon, Jun-Young Lee, Yun-Jeong Kim, Jungjoon Ihm

    Published 2025-04-01
    “…The study employed structural equation modeling to explore the direct and mediated relationships between personality traits, emotion regulation, academic burnout, and academic engagement. …”
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  20. 51220

    AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

    Published 2022-11-01
    “…The output of AngleCam is compatible with a range of applications, including functional‐structural plant modelling, Earth system modelling or radiative transfer modelling of plant canopies. …”
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