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  1. 48601

    Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

    Published 2025-01-01
    “…In this paper, we propose a new data structure that enables GPU-friendly calculations. …”
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    Article
  2. 48602

    Flexural Behavior of Insulated Concrete Sandwich Panels using FRP-Jacketed Steel-Composite Connectors by Yi Wang, Jun Wang, Donghui Zhao, Gangarao Hota, Ruifeng Liang, David Hui

    Published 2022-01-01
    “…This study provided a theoretical basis and design reference for FRP-jacketed steel-composite connectors in applications of Sandwich wall panels with large insulation layer thickness.…”
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  3. 48603
  4. 48604

    Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems by Changzhi Yang, Linyu Wei, Xi Huang, Lili Tu, Yanjia Xu, Xiaolong Li, Zhe Hu

    Published 2025-05-01
    “…Abstract Markerless motion capture (ML) systems, which utilize deep learning algorithms, have significantly expanded the applications of biomechanical analysis. Jump tests are now essential tools for athlete monitoring and injury prevention. …”
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    Article
  5. 48605

    Psychometric testing of the Persian version of the nurse caring behavior scale by Mojtaba Jafari, Reza Ghanei Gheshlagh, Abbas Ebadi, Asra Nassehi, Alessandro Sili, Michela Piredda

    Published 2025-07-01
    “…Cronbach’s alpha and McDonald’s omega coefficients were used to evaluate internal consistency. Data analysis was performed using Mplus version 8.1.8 and Jamovi version 2.4.14. …”
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    Article
  6. 48606

    Development of Variogram Models Retrieved from PERSIANN Family and TRMM 3B47 V. 7 Satellite-Derived Datasets in Fars Province by Keyvan Khojand, Mahmood Reza Shaghaghian, Zahra Ghampour, Tooraj Sabzevari

    Published 2025-03-01
    “…<p style="text-align: left;"><strong>Introduction:</strong> Precipitation data plays a crucial role in hydrological models, and it is important to have a good understanding of its spatial and temporal distribution before incorporating it into these models. …”
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  7. 48607
  8. 48608

    Parametric study and optimization of thermal performance and pressure drop in heat sinks with double-layer porous microchannels by Fahimeh Aliyari, Keivan Fallah, Hossein Zolfaghary Azizi, Farhad Hosseinnejad

    Published 2025-03-01
    “…Initially, a heat sink with porous fins was simulated in ANSYS Fluent 18, and the results were validated against reference data. Subsequently, 340 additional models were simulated with variations in parameters such as microchannel length and width, heat sink wall width and height, inter-channel distance, fluid velocity, and porosity levels (0, 20, 40, 60, and 80 percent). …”
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  9. 48609
  10. 48610

    SHM System for Composite Material Based on Lamb Waves and Using Machine Learning on Hardware by Gracieth Cavalcanti Batista, Carl-Mikael Zetterling, Johnny Öberg, Osamu Saotome

    Published 2024-12-01
    “…This robust system is validated through experiments and demonstrates its potential for real-time applications in aerospace composite structures, addressing challenges related to material complexity, outliers, and scalable hardware implementation for larger sensor networks.…”
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  11. 48611
  12. 48612

    Impact of conscientiousness and extraversion on job satisfaction among academic staff in south-western Nigerian tertiary institutions: A cross-institutional analysis by Callistus Destiny Odeh, Galina V. Astratova, Olatunji Olaide Hezekiah, Chigozirim Ndubuisi Onwusiribe, Li Tianyou, Abigail Olamide Onifade

    Published 2025-04-01
    “…Using a descriptive survey design, data were collected from 384 academic staff across six selected tertiary institutions in South-Western Nigeria through purposive sampling and a structured questionnaire. …”
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    Article
  13. 48613

    Machine learning unveils key Redox signatures for enhanced breast Cancer therapy by Tao Wang, Shu Wang, Zhuolin Li, Jie Xie, Kuiying Du, Jing Hou

    Published 2024-11-01
    “…Methods Our study retrospectively enrolled 9,439 breast cancer patients from 12 independent datasets and single-cell data from 12 patients (64,308 cells). Moverover, 30 in-house clinical cohort were collected for validation. …”
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    Article
  14. 48614

    Modelagem matemática da atividade de água em polpa cítrica peletizada Mathematical modeling of the water activity in peletized citrus pulp by Paulo C. Corrêa, Paulo C. Afonso Júnior, Ednilton T. de Andrade

    Published 2001-05-01
    “…The model of Chen-Clayton (with determined constants to describe the curves of equilibrium moisture content of the peletized citrus pulp) presented a satisfactory adjustment to the experimental data and the same may be used for other applications within limits of this experiment. …”
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  15. 48615

    Weakly supervised learning through box annotations for pig instance segmentation by Heng Zhou, Jiuqing Dong, Shujie Han, Seyeon Chung, Hassan Ali, Sangcheol Kim

    Published 2025-06-01
    “…Abstract Pig instance segmentation is a critical component of smart pig farming, serving as the basis for advanced applications such as health monitoring and weight estimation. …”
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  16. 48616
  17. 48617

    Abusive Workplace Behavior: Behavioral and Legal Insights by Aharon Tziner, Hadara Bar-Mor, Lilach Geva, Haim Levi, Or Shkoler

    Published 2023-02-01
    “…To that end, the relevant authorities should employ uniform terminology and promote applicable legislation.…”
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  18. 48618

    Drivers of primary care appointment volumes before and after the COVID-19 pandemic: a longitudinal study by Tianchang Zhao, Rachel Meacock, Matt Sutton

    Published 2025-03-01
    “…Conclusions from previous studies which used only pre-pandemic data may no longer be applicable under these new configurations. …”
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  19. 48619

    Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1 by Birger Moëll, Fredrik Sand Aronsson, Fredrik Sand Aronsson, Sanian Akbar

    Published 2025-06-01
    “…Analysis of the seven error cases revealed several recurring errors: anchoring bias, difficulty integrating conflicting data, limited consideration of alternative diagnoses, overthinking, incomplete knowledge, and prioritizing definitive treatment over crucial intermediate steps.DiscussionThese findings highlight areas for improvement in LLM reasoning for medical applications. …”
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  20. 48620