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  1. 81641

    Cholera epidemic amidst the COVID-19 pandemic in Moroto district, Uganda: Hurdles and opportunities for control. by Philip Orishaba, Marc Sam Opollo, Christine Nalwadda, Allan Muruta, Issa Makumbi, Kenneth Kabali, Anne Nakinsige, Phillip Lotee, Samuel I Okware, Godfrey Bwire

    Published 2022-01-01
    “…<h4>Results</h4>As of June 28th, 2020, 458 cases presenting with severe diarrhea and/or vomiting were line listed in Moroto district. The most affected age group was 15-30 years, 30.1% (138/458). …”
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  2. 81642

    Comparison of the Completeness of Spontaneously Reported Adverse Drug Reactions by Consumers, Healthcare Professionals, and Pharmaceutical Companies: An Evaluation of Databases Fro... by Mohammed Gebre Dedefo, Gizat M. Kassie, Eyob Alemayehu Gebreyohannes, Renly Lim, Elizabeth Roughead, Lisa Kalisch Ellett

    Published 2025-08-01
    “…A total of 17 897 reports were analyzed—13 613 from the UK Yellow Card Scheme and 4284 from Canada. Most Canadian reports were submitted by pharmaceutical companies (55%), while in the UK, healthcare professionals submitted the majority (69%). …”
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  3. 81643

    C-reactive protein to albumin ratio combined with the Systemic Inflammatory Response Index predicts the prognosis of patients undergoing radical hepatectomy by Shao-Long Lu, Qing-Yuan Zhang, Yuan-Quan Zhao, Hua-Lin Wu, Jie Lin, Peng Zhu, Zheng-Jun Qin, Xiao-Bo Wang, Jie Chen

    Published 2025-04-01
    “…Abstract Purpose Many prognostic scores based on systemic inflammation have been developed. Most of these prognostic scores have been shown to influence the prognosis of hepatocellular carcinoma (HCC) patients. …”
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  4. 81644

    The treatment of primary CoQ deficiency requires the targeting of multiple pathogenic mechanisms by Pilar González-García, Laura Jiménez-Sánchez, Julia Corral-Sarasa, Sergio López-Herrador, Sara Torres-Rusillo, María Elena Díaz-Casado, Luis C. López

    Published 2025-07-01
    “…The co-treatment shows remarkable tissue-specific responses, with the liver displaying the most pronounced metabolic adaptations. In this tissue, the combined therapy restores the expression of genes involved in sulfide oxidation and one-carbon metabolism pathways. …”
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  5. 81645

    Associations of low-carbohydrate with mortality in chronic kidney disease by Qidong Ren, Yangzhong Zhou, Huiting Luo, Gang Chen, Yan Han, Ke Zheng, Yan Qin, Xuemei Li

    Published 2023-12-01
    “…Total 3683 US adult CKD patients 20 years or older from the National Health and Nutrition Examination Survey (NHANES, 2003–2014) were analyzed (mean age ± SD, 62.4 ± 17.1; 56.5% female), of which 1082 participants with CKD died with a median follow-up time of 67 (IQR 36–99) months.Results Most macronutrients were non-linearly associated with all-cause mortality risk, including carbohydrates and sugar. …”
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  6. 81646

    Epidemiology, patient management, and survival outcomes in resected patients with non-metastatic non-small cell lung cancer: a nationwide real-world study by Stéphane Renaud, Paul Casabianca, Pauline Diez-Andreu, Mélanie Chartier, Anne-Françoise Gaudin, Françoise Bugnard, Stève Bénard, François-Emery Cotté, Christos Chouaid

    Published 2025-05-01
    “…Abstract Introduction Surgery is the standard of care for eligible patients with localized or stage IIIA locally advanced non-small cell lung cancer (NSCLC) current guidelines recommend the most conservative surgeries possible. The aim of this study was to bring new real-world data on resected NSCLC epidemiology, management, and survival outcomes in patients with resected non-metastatic NSCLC. …”
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  7. 81647

    Predictors of Immediate Outcome in Neonates on Invasive Mechanical Ventilation by Durgesh Kumar, Dinesh Kumar, Shashi Vinod, Indra Sharma, Rajesh Yadav, Rakesh Singh

    Published 2024-10-01
    “…Results: A total of 150 neonates who met the inclusion criteria were enrolled. The most frequent reason for ventilation was perinatal asphyxia. …”
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  8. 81648

    Calcifications in the infraspinatus muscle: An unusual complication of calcific tendinopathy by Zaid Ennasery, MD, Ismail Chaouche, PhD, Salma Abouchiba, MD, Amal Akammar, PhD, Nizar El Bouardi, PhD, Meriem Haloua, PhD, Moulay Youssef Alaoui Lamrani, PhD, Najia Hajjioui, PhD, Meryem Boubbou, PhD, Mustapha Maaroufi, PhD, Badreeddine Alami, PhD

    Published 2025-06-01
    “…Calcific tendinopathy is a common disorder associated with the deposition of calcium hydroxyapatite crystals within tendons. The most prevalent location is the shoulder, where it affects the tendons of the rotator cuff. …”
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  9. 81649
  10. 81650

    Jeavons syndrome - clinical spectrum, diagnostic challenges and innovative treatment strategies by Martyna Borowska-Łygan, Patrycja Grzech, Lena Maria Kreczyńska, Aleksandra Banach, Weronika Emilia Zubrzycka, Patryk Harnicki, Weronika Ożóg, Klaudia Piskorowska

    Published 2025-06-01
    “…Publications describing JS, treatment of drug-resistant epilepsy, eyelid myoclonus, dietary therapy and modern brain stimulation methods were included. Results: The most commonly used first-line drugs are valproic acid, levetiracetam and lamotrigine. …”
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  11. 81651

    Low-Cost Vision-Based 3-D Elbow Tracking for Post-Stroke Rehabilitation: Development and Pilot Evaluation of a Serious Game by Julia Tannus, Camille Alves, Caroline Valentini, Yann Morere, Guy Bourhis, Pierre Pino, Eduardo Naves

    Published 2025-01-01
    “…While virtual reality-based exergames have gained popularity for promoting patient engagement, most rely on proprietary sensors or wearable electronics, limiting accessibility and clinical adaptability. …”
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  12. 81652

    Hybrid Wavelet-Attention Model for Detecting Changes in High-Resolution Remote Sensing Images by Lhuqita Fazry, MGS M. Luthfi Ramadhan, Alif Wicaksana Ramadhan, Muhammad Febrian Rachmadi, Aprinaldi Jasa Mantau, Lukito Edi Nugroho, Chi-Hung Chi, Wisnu Jatmiko

    Published 2025-01-01
    “…Change detection is one of the most difficult remote sensing tasks because the change to be detected (real-change) is mixed with apparent changes (pseudo-change) due to differences in the two images, such as brightness, humidity, seasonal differences, etc. …”
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  13. 81653

    Evaluación de algunos métodos para la extracción de los micronutrimentos B, Fe, Zn, Mn y Cu en suelos de las zonas norte y centro del Valle del Cauca by García O. Álvaro, Crespo P. Carlos, Jiménez R. Diego

    Published 1988-12-01
    “…Nitric-perchloric mixture is most advantageous for determination of nutriments in the tissues than acid methanol.…”
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  14. 81654

    E-learning success evaluation in Lebanon during wartime: An extension of Delone and McLean IS success model [version 1; peer review: 2 approved] by Elie Yammine, Layal Rabih

    Published 2025-04-01
    “…Background In the fast-paced digital world, e-learning has become the most convenient medium for higher education institutions to provide scalable education. …”
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  15. 81655

    Development of a standardized consensus lexicon for terms related to micronutrient programs. by Lwin Mar Hlaing, Megan W Bourassa, Kenneth H Brown, Reed Atkin, Saskia J M Osendarp, Aishani Gupta, Sonja Y Hess

    Published 2024-01-01
    “…Of which, minor modification was made for 12-terms with nominal difference and remaining 42-terms were shared with over 140 micronutrient-experts disseminated via an online survey through newsletters and emails to solicit experts' opinions on the most appropriate definition or a modified one. Nineteen legal terms and 83 micronutrient terms (n = 102 terms) were subsequently added. …”
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  16. 81656

    Optimizing yield, quality, and nitrogen use efficiency in fodder maize through precision N-management by B. G. Shekara, N. M. Chikkarugi, Manjanagouda S. Sannagoudar, Dinesh Jinger, Hanamant M. Halli, Gaurendra Gupta, Subhash Chand, Venkatesh Paramesh, G. A. Rajanna, S. Aravindan, H. S. Mahesha

    Published 2025-07-01
    “…Therefore, application of 150 kg N/ha using SPAD value 50 was the most efficient rate in converting N input into green fodder yield, making it an effective strategy for N management for fodder maize production.…”
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  17. 81657

    Types of fear, ethics and aesthetics of terror, and the politics of emotions in The Album of Female Prisoners by Milutin A. Popović by Tomić Svetlana

    Published 2020-01-01
    “…The fear of death and the fear of a dead human body are the most frequently described fears. The author also described gender-specific fear of pregnancy, abortion, and rape. …”
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  18. 81658

    CFSAN SNP Pipeline 2 (CSP2): a pipeline for fast and accurate SNP distance estimation from bacterial genome assemblies by Robert Literman, Jayanthi Gangiredla, Hugh Rand, James B. Pettengill

    Published 2025-07-01
    “…After genome alignment, most data processing steps mirror the quality control measures used in the CFSAN SNP Pipeline (CSP1), including density filtering and missing data handling. …”
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  19. 81659

    Life-history traits, pace of life and dispersal among and within five species of Trichogramma wasps: a comparative analysis by Guicharnaud, Chloé, Groussier, Géraldine, Beranger, Erwan, Lamy, Laurent, Vercken, Elodie, Dahirel, Maxime

    Published 2023-06-01
    “…Major traits defining the life history of organisms are often not independent from each other, with most of their variation aligning along key axes such as the pace-of-life axis. …”
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  20. 81660

    Structure and kinetic investigation of Streptococcus pyogenes family GH38 alpha-mannosidase. by Michael D L Suits, Yanping Zhu, Edward J Taylor, Julia Walton, David L Zechel, Harry J Gilbert, Gideon J Davies

    Published 2010-02-01
    “…Considerable research has probed the role of higher eukaryotic "GH38" alpha-mannosides that play a key role in the modification and diversification of hybrid N-glycans; processes with strong cellular links to cancer and autoimmune disease. The most extensively studied of these enzymes is the Drosophila GH38 alpha-mannosidase II, which has been shown to be a retaining alpha-mannosidase that targets both alpha-1,3 and alpha-1,6 mannosyl linkages, an activity that enables the enzyme to process GlcNAc(Man)(5)(GlcNAc)(2) hybrid N-glycans to GlcNAc(Man)(3)(GlcNAc)(2). …”
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