Distribution of toxic and essential elements in various chicken organs

An instrumental neutron activation technique was applied to determine toxic, essential and other elements in various chicken organs namely; liver, heart, gizzard, breast and leg. The range, arithmetic mean, geometric mean and median were computed which indicate normal distribution pattern for Hg, Se, Cl, Fe, Zn, Mn, Na, K and Cs in the five chicken organs. The concentration of Hg, Se, As, Fe, Zn and Mn in local chicken liver were also compared with the literature values. Dietary intake value for toxic and essential elements were also computed and compared with the recommended values.     

Harnessing database resources for understanding the profile of chemical process industry incidents

Analyzing historical databases can provide valuable information on the incident occurrences and their consequences for assessing the safety of the chemical process industry. In this study, the RMP and HSEES databases were utilized to understand the patterns and the factors influencing chemical process industry incidents. Frequency exceedance curves were generated by utilizing the different incident consequences from the databases to understand the profile of societal loss from reported incidents. Understanding the statistics and trends of the historical incidents could serve as important lagging indicators in order to assess the probable proximity to major consequences from the low-probability/high-consequence incidents. To this regard, the safety pyramids were also generated to better understand the relationship between the different consequences of the reported incidents. Furthermore, the safety pyramids were analyzed in comparison with the traditional safety pyramid proposed by Heinrich to understand the US process industry incident occurrence trends.     

A formulation to optimize the risk reduction process based on LOPA

This paper presents a mixed integer nonlinear programming (MINLP) model to improve the computational use of the layer of protection analysis (LOPA). For a given set of independent protection layers to be implemented in a process, the proposed optimization model is solved to: a) Include costs associated with the different prevention, protection and mitigation devices, and b) Satisfy the risk level typically specified in the LOPA analysis through the occurrence probability. The underline purpose focuses on improving the analysis process and decision making to obtain the optimal solution in the safeguards selection that satisfies the requirements to be considered as IPL’s. The optimization is based on economic and risk tolerance criteria. As a first stage of this proposal, the safety instrumented system (SIS) design is optimized so that the selection of SIS components minimizes the risk and satisfies the safety integrity level (SIL) requirements. A case study is presented to validate the whole proposed approach.     

Framework for creating a Best-in-Class safety culture

To answer the question, “What are the practical attributes of Best-in-Class safety management,” consensus principles have been identified and lessons learned harvested from a broad spectrum of organizations with exemplary safety programs. Through years of studying the underpinnings of a strong safety culture, the authors have identified ten attributes that are important to create a Best-in-Class safety culture. Instead of expecting one organization to possess all of the attributes or employ all of the techniques identified, the authors suggest these principles be treated as guidelines that can be used to improve the safety culture in organizations.     

Porous carbon derived from waste corrugated paper board using different activators

Journal of Material Cycles and Waste Management - Porous carbon with a large specific surface area (maximum was 1600 m2/g) was successfully prepared from waste corrugated paper board. The plant...     

Pharmacological evaluation of Thuja occidentalis for the attenuation of neuropathy via AGEs and TNF-α inhibition in diabetic neuropathic rats

Environmental Science and Pollution Research - When diabetes neuropathy occurs, the oxidative stress caused by chronic hyperglycemia may result in chronic neuronal damage. To mitigate the effects...     

Prediction models for the flash point of pure components

The flash point for a liquid is defined as the lowest temperature at which its vapor forms a spontaneously ignitable mixture when brought in contact with air. Having a good estimation of the flash point temperature at normal conditions is relevant because it is one of the main properties used to characterize fire and explosion hazards for liquids. Most of predictive correlations in the literature include a physical effect by including the normal boiling temperature in their formulation. To achieve combustion, sufficient evaporation is required and then a part of the liberated energy from the combustion is used to support the evaporation. Thus the evaporation energy and a chemical effect given by the heat of reaction are incorporated in this work. It is firstly verified that the relation between the flash point temperature and the normal boiling temperature tends to be a constant. Thus a heuristic approach based on 611 chemical species of diverse families indicates that this relation is around 0.75. The dispersion of the error has been reduced by using two proposed correlations where both physical and chemical properties are included in the model. In particular, the second equation is based on the group contributions method, which has been developed for alkanes. This method is in fact a combination of the group contributions method and the first model to overcome the difficulties in predicting isomeric differences.