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  1. 9301

    Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

    Published 2025-04-01
    “…This study proposes the dynamics of the influenza epidemic in the province of Madrid, Spain, with an emphasis on the effects of control employing actual data. The main challenge is accurately estimating the virus’s rate of transmission and assessing the effectiveness of vaccination campaigns. …”
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  2. 9302

    Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis by Yuanbo Bi, Dongrui Li, Ruochen Pang, Chengxv Du, Da Li, Xiaoyv Zhao, Haitao Lv

    Published 2025-08-01
    “…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …”
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  3. 9303

    Control Tolerante a Fallas Activo: Estimación y acomodación de fallas en sensores aplicado al modelo LPV de una bicicleta sin conductor by J.A. Brizuela-Mendoza, C.M. Astorga-Zaragoza, A. Zavala-Río, F. Canales-Abarca

    Published 2016-04-01
    “…Within the Active Fault Tolerant Control, the detection and diagnostic system is based on the estimations computed by a fault observer, used to determine a fault occurrence. The proposed algorithms, considered as the main contributions in this work, achieves noise-free estimations for the faults and state, in order to compute the fault indicator and control law, respectively. …”
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  4. 9304

    Combating Corruption in Sport: Legal Aspect (Lucha contra la corrupción en el deporte: aspecto legal) by Tetiana Kolomoiets, Maxym Tkalych, Petro Melnyk, Bogdan Panchenko, Yuliia Tolmachevska

    Published 2021-07-01
    “…Therefore, legal science has a task to determine the legal algorithms for combating sports corruption both within the country and in the international arena. …”
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  5. 9305

    DYNAMICS OF MMP-8, SRANKL, AND OSTEOCALCIN CONCENTRATIONS IN THE ORAL FLUID OF PATIENTS WITH SECONDARY EDENTULISM AND AFTER PROSTHETIC TREATMENT by R.V. Tsynkush, O.V. Voznyi

    Published 2025-03-01
    “…The predominance of resorptive processes over bone formation in the alveolar ridge area can be the main cause of premature tooth loss, while inflammatory changes in the periodontal tissues accelerate disease progression. …”
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  6. 9306

    Replace government healthcare with patient-controlled health care by Deane Waldman

    Published 2024-03-01
    “…This issue is considered through the prism of the interests of the main stakeholders: shareholders of companies operating in this area, politicians, patients, healthcare providers and administrators. …”
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  7. 9307

    Deepfake Audio Detection for Urdu Language Using Deep Neural Networks by Omair Ahmad, Muhammad Sohail Khan, Salman Jan, Inayat Khan

    Published 2025-01-01
    “…Therefore, developing effective algorithms to distinguish fake audio from real audio is critical to preventing such frauds. …”
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  8. 9308

    Calibración de cámaras de tiempo de vuelo: Ajuste adaptativo del tiempo de integración y análisis de la frecuencia de modulación by P. Gil, T. Kisler, G.J. García, C.A. Jara, J.A. Corrales

    Published 2013-10-01
    “…Abstract: The depth perception is essential in many manipulation tasks, visual inspection and robot navigation. …”
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  9. 9309
  10. 9310

    Prominent events in the development of a simultaneous multidiagnostic system with synthetic peptides by Oscar Noya, Henry Bermúdez, Diana Pachón, Belkisyolé Alarcón de Noya, Diana Ortiz-Princz, Flor Helene Pujol, Sandra Losada

    Published 2025-07-01
    “…Thus, we designed a low-cost method to detect antibodies, the multiple antigen blot assay (MABA), using synthetic peptides as the main source of antigens from endemic tropical diseases. …”
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  11. 9311
  12. 9312

    Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

    Published 2025-06-01
    “…Artificial intelligence and machine learning algorithms now automate image interpretation, predict clinical outcomes, and enhance clinical decision support, complementing conventional clinical evaluations. …”
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  13. 9313

    Predicting CO<sub>2</sub> and H<sub>2</sub> Solubility in Pure Water and Various Aqueous Systems: Implication for CO<sub>2</sub>–EOR, Carbon Capture and Sequestration, Natural Hydr... by Promise O. Longe, David Kwaku Danso, Gideon Gyamfi, Jyun Syung Tsau, Mubarak M. Alhajeri, Mojdeh Rasoulzadeh, Xiaoli Li, Reza Ghahfarokhi Barati

    Published 2024-11-01
    “…The explicit, derivative–continuous nature of these models eliminates the need for iterative algorithms, making them suitable for integration into large–scale multiphase flow simulations. …”
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  14. 9314

    Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity by Hope A. Townsend, Hope A. Townsend, Kaylee J. Rosenberger, Kaylee J. Rosenberger, Lauren A. Vanderlinden, Lauren A. Vanderlinden, Jun Inamo, Jun Inamo, Fan Zhang, Fan Zhang, Fan Zhang

    Published 2024-12-01
    “…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …”
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  15. 9315

    An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

    Published 2025-06-01
    “…Based on the training algorithm and after 146 periods, the training error decreased, but the validation error increased (Fig. 7). …”
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  16. 9316

    Machine learning classification of consumption habits of creatine supplements in gym goers by Patrícia C. Magalhães, Samuel Encarnação, Andre C. Schneider, Pedro Forte, José Teixeira, Antonio Miguel Monteiro, Tiago M. Barbosa, Ana M. Pereira

    Published 2025-03-01
    “…The aim is to identify usage patterns and the main factors that influence creatine supplementation, providing a basis for future educational interventions and recommendations for safe and effective use. …”
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  17. 9317
  18. 9318

    A systematic review of data privacy in Mobility as a Service (MaaS) by Zineb Garroussi, Antoine Legrain, Sébastien Gambs, Vincent Gautrais, Brunilde Sansò

    Published 2025-05-01
    “…Using the PRISMA framework, a comprehensive literature search across Web of Science, Elsevier, and IEEE Xplore databases resulted in the selection of 32 studies for detailed analysis.The review is structured around three main themes: (1) Privacy-Preserving Techniques, including anonymization strategies (k-anonymity, differential privacy, obfuscation), encryption methods (blockchain, cryptographic protocols), federated learning for decentralized data processing, and advanced algorithms for optimizing privacy budgets and balancing utility-privacy trade-offs; (2) User Trust and Privacy Perceptions, highlighting that trust in service providers is essential for MaaS adoption, privacy concerns may impact adoption but do not necessarily prevent it (the “privacy paradox”), and awareness of data misuse affects user trust and willingness to adopt MaaS; and (3) Regulatory Frameworks, focusing on the importance of GDPR compliance to ensure strict data protection through consent and transparency, and embedding privacy-by-design principles within MaaS architectures to safeguard user data from the outset.This review emphasizes the need for a holistic approach, integrating technological innovation, user-centered design, and strong regulatory oversight to effectively address privacy challenges in MaaS. …”
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  19. 9319
  20. 9320

    Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

    Published 2025-07-01
    “…However, the approach also shows potential for adaptation in landscape design, which is mainly reflected in two aspects: relevance and extensibility. …”
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