This paper compares the behavioural models of municipal solid waste (MSW) using the corresponding experimental data. To do so, the proposed models are first reviewed and, then, the algorithms and codes of different models are written. After obtaining each model's algorithm, the same experimental data are considered as input, and the strain-stress curve is plotted for each model. In the first method, the total strain in the waste is obtained based on the summation of the elastic, plastic, biological, and creep strains. Afterward, the equivalent stress is obtained. In this method, using biological changes over time, the age of the waste is calculated as an effective parameter in MSW behaviour. Moreover, the effect of creep on the waste is considered independently. In the second algorithm, MSW is considered as fibre and paste material, and the strain-stress curve is obtained. In this method, the waste is considered as a soil model, and the effect of different parameters are calculated. Due to the complexity of the MSW behaviour and considering various parameters, such as the age of the waste, E changes over time, creep, and biological changes, the Krase model has less error than the other models. Using the soil behaviour model for the waste has a significant error, indicating the difference between the results for the behaviours of the two substances.
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http://dx.doi.org/10.1177/0734242X211045002 | DOI Listing |
ACS Biomater Sci Eng
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The Affiliated Ganzhou Hospital of Nanchang University, Meiguan Avenue No. 16, Ganzhou 341000, China.
Osteoarthritis (OA) is a chronic multifactorial disease characterized by cartilage degeneration, pain, and reduced mobility. Current therapies primarily aim to relieve pain and restore function, but they often have limited effectiveness and side effects. Coixol, a bioactive compound from Coix lacryma-jobi L.
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Department of Neonatology, Children's Hospital of Soochow University, Suzhou, PR China. Electronic address:
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School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200040, China; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200040, China; Department of Radiology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address:
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Estrogen significantly impacts women's health, and postmenopausal hypertension is a common issue characterized by blood pressure fluctuations. Current control strategies for this condition are limited in efficacy, necessitating further research into the underlying mechanisms. Although metabolomics has been applied to study various diseases, its use in understanding postmenopausal hypertension is scarce.
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