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  1. 901
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  3. 903

    Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study by Gabriel Alain, James Crick, Ella Snead, Catherine C Quatman-Yates, Carmen E Quatman

    Published 2025-05-01
    “…Understanding these organic usage patterns is key for assessing GenAI’s impact on health care delivery and patient-provider dynamics. …”
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    Article
  4. 904
  5. 905

    Antibiotic susceptibility patterns of Salmonella isolates from clinical, food, and environmental sources in Addis Ababa and surrounding towns, Ethiopia by Abebe M. Aga, Demise Mulugeta, Dassalegn Muleta, Adugna Abdi Woldesemayat, Abera Motuma, Musin Kelel, Bilise Wakitole, Shambel Tadesse, Zinash Teferi, Fanos Tadesse Woldemariyam, Serkadis Oljira, Henok Ferede, Natnael Berihun, Samson Girma, Dereje Nigussie, Mesfin Tafesse Gemeda

    Published 2025-08-01
    “…Notably, clinical isolates exhibited significantly higher resistance levels compared to food and environmental sources, with 40% of clinical isolates demonstrating MDR patterns. Gentamicin (3.3%), ceftriaxone (6.6%), and amoxicillin-clavulanic acid (9.8%) remained largely effective, showing low resistance rates. …”
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    Article
  6. 906
  7. 907

    Outcomes and vaccination patterns against COVID-19 in a cohort of sickle cell disease patients in the state of Rio de Janeiro by Claudia de Alvarenga Maximo, Jorge Francisco da Cunha Pinto, Fabiana Canedo Pinto, Patrícia Brasil

    Published 2025-04-01
    “…Sociodemographic data, emergency department visits, hospitalizations, mortality rates, and COVID-19 vaccination status were collected. …”
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    Article
  8. 908
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    Meteorological measurement and simulation datasets to understand the complex circulation over a tropical inter-Andean valleyMendeley Data by Andres V. Ardila, Carlos M. González, Felipe Cifuentes, German Rueda-Saa, Rodrigo Jimenez

    Published 2025-06-01
    “…The analysis of observations and validated simulation results allowed us to identify atmospheric circulation patterns, and to improve our understanding of their impact on the regional air quality.…”
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    Article
  10. 910

    Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

    Published 2025-08-01
    “…The extracted watermark maintains a low Bit Error Rate (BER) and a high Normalized Cross-Correlation (NCC). …”
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    Article
  11. 911

    Pattern of traumatic brain injury in multiply injured patients at a Nigerian tertiary hospital: a 5-year retrospective study by Adejare Adedire, Taopheeq Bamidele Rabiu, Akinwale John Faniyi, Adebukola Ganiyu Oyeniyi, Olajide Olufemi Ojewuyi, Ayodeji Oluwaseun Ogungbemi

    Published 2025-02-01
    “…Therefore, a thorough examination of head injury patterns in this context is essential. Aim This study aimed to retrospectively analyze the patterns of head injuries among multiply injured patients at UNIOSUN Teaching Hospital over a five-year period, from January 2017 to January 2022. …”
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    Article
  12. 912

    Spatial patterns and clustering of dengue incidence in Mexico: Analysis of Moran's index across 2,471 municipalities from 2022 to 2024. by Oliver Mendoza-Cano, Rogelio Danis-Lozano, Xóchitl Trujillo, Miguel Huerta, Mónica Ríos-Silva, Agustin Lugo-Radillo, Jaime Alberto Bricio-Barrios, Verónica Benites-Godínez, Herguin Benjamin Cuevas-Arellano, Juan Manuel Uribe-Ramos, Ramón Solano-Barajas, Yolitzy Cárdenas, Jesús Venegas-Ramírez, Eder Fernando Ríos-Bracamontes, Luis A García-Solórzano, Arlette A Camacho-delaCruz, Efrén Murillo-Zamora

    Published 2025-01-01
    “…Weekly case counts, obtained through the normative epidemiological surveillance system for vector-borne diseases, were used to calculate incidence rates per 100,000 population. Geographic Information Systems were employed to analyze spatial patterns, while Local Moran's I statistic and a k-nearest neighbors spatial weights matrix identified spatial clusters. …”
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  13. 913

    Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

    Published 2025-01-01
    “…<italic>Objective:</italic> Contactless detection and classification of abnormal respiratory patterns is challenging, especially in multi-person scenarios. …”
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    Article
  14. 914

    Real-world patterns of immunoglobulin replacement therapy for infection prevention in common variable immunodeficiency: a multicenter nationwide study by Pedro Moral Moral, Pedro Moral Moral, Victor Garcia-Bustos, Victor Garcia-Bustos, Héctor Balastegui-Martin, Héctor Balastegui-Martin, Sandra Martínez Mercader, Sandra Martínez Mercader, Carmen Bracke, Carmen Bracke, Lourdes Mateu, Lourdes Mateu, Xavier Solanich, Xavier Solanich, Xavier Solanich, Arnau Antolí, Arnau Antolí, Arnau Antolí, Juan Luis Carrillo-Linares, Ángel Robles-Marhuenda, Francesc Puchades, Ana Pelaez Ballesta, Nuria López-Osle, Miguel Ángel Torralba-Cabeza, Ana María Bielsa Masdeu, Jorge Gil Niño, Nuria Tornador Gaya, Guillem Pascual Castellanos, Rosario Sánchez-Martínez, José Manuel Barragán-Casas, Andrés González-García, José Luís Patier de la Peña, Daniel López-Wolf, Antonia Mora Rufete, Alba Canovas Mora, Marta Dafne Cabañero-Navalon, Marta Dafne Cabañero-Navalon

    Published 2025-07-01
    “…SCIg use was significantly higher in tertiary hospitals compared to secondary ones (44.4% vs. 17.4%, p = 0.0136). Infection rates, autoimmune comorbidities, weekly doses (7.2 g for IVIg vs. 7.7 g for SCIg, p = 0.142), and IgG trough levels were comparable across groups.ConclusionThis study provides real-world evidence on IgRT patterns in Spanish patients with CVID, revealing a marked increase in SCIg use over the past decade, although IVIg remains predominant, especially in secondary hospitals. …”
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  15. 915

    Trends, Clinical Profiles, and Demographics of Psychiatry Referrals: A Retrospective Record-based Study with Insights into Age-related Trends by Yogender Kumar Malik, Adwitiya Ray, Anwesha Chatterjee, Sujata Sethi

    Published 2025-01-01
    “…Despite its pivotal role, CLP referral rates in most parts of the world remain low, with few institutions offering specialized CLP services. …”
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    Major Traumatic Injury and Exposure to Mitochondrial-Derived Damage-Associated Molecular Patterns Promotes Neutrophil Survival Accompanied by Stabilisation of the Anti-Apoptotic Pr... by Thomas Nicholson, Michael Macleod, Antonio Belli, Janet M. Lord, Jon Hazeldine

    Published 2025-05-01
    “…Culturing HCs neutrophils with mtDAMPs or mtDNA significantly delayed apoptosis rates, promoted stabilisation of Mcl-1, and reduced caspase-3 activation. …”
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  18. 918

    Nosocomial transmission, adaption and clinical outcomes of carbapenem-resistant hypervirulent Klebsiella pneumoniae by Yanjun Liu, Zhiqian Wang, Zijuan Jian, Peilin Liu, Yanming Li, Fang Qin, Qun Yan, Wenen Liu

    Published 2025-07-01
    “…CR-HvKp exhibited diverse evolutionary patterns linked to nosocomial transmission, particularly in the ICU. …”
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    Article
  19. 919

    Spatiotemporal Patterns and Driving Factors of Cropland Abandonment in Metropolitan Suburbs: A Case Study of Chengdu Directly Administered Zone, Tianfu New Area, Sichuan Province,... by Mingyong Zuo, Guoxiang Liu, Chuangli Jing, Rui Zhang, Xiaowen Wang, Wenfei Mao, Li Shen, Keren Dai, Xiaodan Wu

    Published 2025-06-01
    “…The results demonstrate an average annual abandonment rate of approximately 8%, exhibiting minor fluctuations but significant spatial clustering characteristics, with abandonment hotspots concentrated in peri-urban areas that gradually expanded toward urban cores over time, while exurban regions showed lower abandonment rates. …”
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  20. 920

    A flow pattern recognition method for gas-liquid two-phase flow based on dilated convolutional channel attention mechanism. by Jie Liu, Yang Wu

    Published 2025-01-01
    “…Addressing the issue of insufficient key feature extraction leading to low recognition rates in existing deep learning-based flow pattern identification methods, this paper proposes a novel flow pattern image recognition model, Enhanced DenseNet with transfer learning (ED-DenseNet). …”
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    Article