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Indigenous Maya-Mam leadership competencies: a grounded theory study.

Front Sociol

January 2025

Agricultural Economics and Agricultural Business Department, New Mexico State University, Las Cruces, NM, United States.

Introduction: This study explores the leadership competencies within the Indigenous Maya-Mam community, aiming to understand the specific skills and qualities exhibited by Maya-Mam leaders. The research seeks to address the gap in literature regarding Indigenous leadership practices, particularly focusing on how cultural values influence leadership behaviors.

Methods: Qualitative methods were employed for this study, including interviews and thematic analysis.

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Background: Beta-lactams remain the first-line treatment of infections despite the increasing global prevalence of penicillin-resistant/non-susceptible strains. We conducted a cross-sectional household survey in a rural community in northern Vietnam in 2018-2019 to provide prevalence estimates of penicillin non-susceptible (PNSP) carriage and to investigate behavioural and environmental factors associated with PNSP colonization. The data presented will inform the design of a large trial of population-based interventions targeting inappropriate antibiotic use.

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Background: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.

Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation.

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Aim: This study examined citizens' knowledge and compliance with COVID-19 standard operating procedures (SOPs), vaccine acceptance and hesitancy, and factors that could influence these behaviors.

Methods: The study that utilised the Lot Quality Assurance Sampling (LQAS) approach was conducted in eight districts of Central Uganda; Kiboga, Kyankwanzi, Mubende, Kasanda, Mityana, Luwero, Nakaseke, and Nakasongola districts. Each district was divided into five supervision areas (SAs).

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Background: Randomized clinical trials (RCTs) are fundamental to evidence-based medicine, but their real-world impact on clinical practice often remains unmonitored. Leveraging large-scale real-world data can enable systematic monitoring of RCT effects. We aimed to develop a reproducible framework using real-world data to assess how major RCTs influence medical practice, using two pivotal surgical RCTs in gynaecologic oncology as an example-the LACC (Laparoscopic Approach to Cervical Cancer) and LION (Lymphadenectomy in Ovarian Neoplasms) trials.

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