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Wastewater-based epidemiology: deriving a SARS-CoV-2 data validation method to assess data quality and to improve trend recognition.
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Wastewater Technology Research, Wastewater Disposal, German Environment Agency, Berlin, Germany.
Introduction: Accurate and consistent data play a critical role in enabling health officials to make informed decisions regarding emerging trends in SARS-CoV-2 infections. Alongside traditional indicators such as the 7-day-incidence rate, wastewater-based epidemiology can provide valuable insights into SARS-CoV-2 concentration changes. However, the wastewater compositions and wastewater systems are rather complex.
View Article and Find Full Text PDFIndividual Diameter Growth Modeling of (B. Heyne. ex Roth) in Terai Arc Landscape of Nepal.
Scientifica (Cairo)
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Department of Forest Biometrics, Forest Research and Training Centre, Babarmahal, Kathmandu 44600, Nepal.
The development of a model is highly crucial in cases where there are intricate geographical features, and conducting a forest inventory is both time-consuming and expensive, requiring significant manual effort for measurement. Acquiring reliable data regarding the forest's condition and future progression is essential for making informed decisions about its management. Therefore, this research aimed to create an individual tree diameter growth model specifically for (B.
View Article and Find Full Text PDFUnveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.
Front Endocrinol (Lausanne)
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Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Background: Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. Understanding the molecular mechanisms underlying PCOS is essential for developing effective treatments. This study aimed to identify hub genes and investigate potential molecular mechanisms associated with PCOS through a combination of bioinformatics analysis and Mendelian randomization (MR).
View Article and Find Full Text PDFRelationship Between Physical Exercise and Risk of Depression: An Assessment of Intermediate Variables Through Self-Assessed Health Status and Life Satisfaction in the Chinese Family Tracking Survey (CFPS) Data.
Risk Manag Healthc Policy
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School of Physical Education, Huaibei Normal University, Huaibei, People's Republic of China.
Objective: Depression is a potential health killer. As an important means of preventing various human diseases, physical exercise plays an important role in reducing the risk of depression. Using data from the Chinese Household Tracking Survey, this study analyzed the mechanisms by which physical exercise, self-rated health and life satisfaction reduce the risk of depression.
View Article and Find Full Text PDFComparative Analysis of Clinical and Radiologic Staging of Cervical Cancer: A Cross-Sectional Study in Ethiopia.
Ethiop J Health Sci
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Department of Radiology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Cervical cancer remains a significant challenge in developing countries, with many patients diagnosed at advanced stages. The clinical staging of cervical cancer is guided by the International Federation of Obstetrics and Gynecology (FIGO) guidelines, while computed tomography (CT) and magnetic resonance imaging (MRI) offer valuable supplemental information. This study aimed to evaluate the initial clinical and imaging stages of cervical cancer and to assess the agreement between these staging methods.
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