Risk
Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach
Nowadays 90% of the required water of Iran is secured with groundwater resources and forecasting of pollutants content in these resources is vital. Therefore, this research aimed to develop and employ the feedforward artificial neural network (ANN) to forecast the arsenic (As), lead (Pb), and zinc (Zn) concentration in groundwater resources of Asadabad plain.
Assessing the Risk Factors for Musculoskeletal Disorders in Construction Workers Using PATH, Case Study: Construction Project
Construction workers experience a high risk of developing musculoskeletal disorders due to the nature of their jobs. This article aimed to evaluate the risk factors of musculoskeletal disorders among construction workers using Posture, Activity Tools and Handling (PATH). This is a sectional, descriptive-analytical study in a construction site in Tehran, Iran.
Role of Rice Farming in Development Risk of Musculoskeletal Disorders Among Rice Farmers: a Prospective Study in 2013
Farming as job, had some activities or work task such as strenuous physical tasks and high levels of manual labor in farming job, which can increase risk of MSDs among farmers. Present study with prospective design designed for assessment role of rice farming in developmental risk of MSDs among Iranian rice farmers.
