Background/Aims Medical waste, or clinical waste, is generated in hospitals, clinics, and pharmaceutical manufacturing as a result of the diagnosis, treatment and medicine that is being produced across the healthcare system. This waste can have a severe effect on both the environment and population health. Overall, between 75% and 90% of the waste produced by healthcare providers is non-risk general waste or domestic waste. It is therefore mandatory for healthcare organisations to have an effective medical waste management plan to eliminate real health and environmental hazards. Methods This article critically reviews literature that investigates the administrative procedures and collection protocols regarding medical waste. Results Several problems occur during the disposal of medical waste in hospitals in Jordan. The research demonstrates how effective waste management can reduce health risks and protect the environment. Conclusion Overall, there is a poor handling of medical waste, which extends to a lack of regulations that govern medical waste procedure.
One of the most important challenges in fluid mechanics, gas dynamics, and hydraulic machinery fields is measuring the flow velocity with high accuracy. It is more important in large systems; such as thermal power stations, large scale power generations, and combined cycle power plants. The exact estimation of the measurement uncertainty inflow velocity is extremely important in evaluating the accuracy of the measurement. This work describes the problem of estimating measurement uncertainty when there are two or more dominant components of the uncertainty budget. . Two methods, analytical and numerical methods are used to study the comparative analysis for the results of determining the expanded uncertainty of measurement using two methods: analytical method and the numerical method. The analytical method uses the law of uncertainty propagation and is based on the estimation of uncertainty values of type A and B, while the numerical technique depends on the evaluation of measured samples by the Monte Carlo method using a random number generator. The aim of this article is to show the Monte Carlo method as an alternative way to determine the distribution of individual components of the measurement uncertainty budget. Also, the measurement of liquid flow velocity by an ultrasonic method has been analyzed, which is commonly used due to high measurement accuracy and non-invasiveness. Due to the complexity of the equation defining the measured flow velocity, determining the measurement uncertainty is not an easy task.
This paper presents the results of practical mechanical tests of motor oils, their specifications and characteristics and the effect of their physical and chemical properties on the performance of the engine. The performance of the engine has a strong relation with the engine oil type and efficiency. The degree of stability of oils properties is very important because if oil or lubricants lose their properties, mechanical and chemical excessive corrosion of the motor metals may occur. Consequently, damage occurs to one or more parts of the engine, thereby the system is breaking down where the cost of downtime is too expensive. It has been found that a higher viscosity value is not the optimum as it increases temperature and energy consumption due to frictional losses. The values required for viscosity is the ideals that gives the stable results regardless temperature variations under any conditions of operation, at which the power losses are minimal and the fuel economy is optimal.
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