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Appearances Can Be Deceiving: What Is the Diagnosis for this Community-Acquired Pneumonia?
Published 2001-01-01“…A and asbestos exposure (in the 1970s) presented to the emergency department with a one-month history of progressive dyspnea, right-sided pleuritic chest pain, cough productive of white-coloured sputum and malaise. …”
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Periodic Flow Purging System for Harvesting Fibers from Screens
Published 2021-03-01“…Abstract Fiber length is believed to be an important factor in determining various toxicological responses to asbestos and other bio-persistent fibers. Length classification of fibers thus is crucial for toxicological assessment. …”
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Investigation of the trends and associated factors of ovarian cancer in Indonesia: A systematic analysis of the Global Burden of Disease study 1990-2021.
Published 2025-01-01“…<h4>Methods</h4>We examined ovarian cancer incidence, mortality, and disability-adjusted life years (DALYs) using age-standardized rates from the Global Burden of Disease, Injuries, and Risk Factors Study 2021. high body mass index and occupational asbestos exposure were linked with death and DALYs. …”
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Habit of elongate amphibole particles as a predictor of mesothelial carcinogenicity
Published 2025-06-01“…Amphiboles may exist in several habits, with asbestiform particles behaving like typical amphibole asbestos and non-asbestiform (or massive) reported to be less biologically active. …”
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Investigation of Heat and Mass Transfer in the Process of Convective Heat Treatment and Drying of Thermal Insulation Materials and Approximate Equation of the Drying Curve
Published 2023-10-01“…Based on the study and analysis of numerous sources, the ranges of changes in the Lykov, Posnov, and phase transformation criteria for the processes of heat treatment of ceramics, asbestos, felt, and clay plates have been approximately determined. …”
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Development and validation of a nomogram for predicting the risk of mental health problems of factory workers and miners
Published 2022-07-01“…A total of 23 characteristics were included in this study and LASSO regression selected 12 characteristics such as education, professional title, age, Chinese Maslach Burnout Inventory, effort–reward imbalance, asbestos dust, hypertension, diabetes, working hours per day, working years, marital status and work schedule as predictors for the construction of the nomogram. …”
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