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Application of Essential Oils to Control the Biodeteriogenic Microorganisms in Archives and Libraries

Microbial contamination control in indoor environments, such as libraries and archives, represents a challenge. Essential oils (EOs), well-known for their antimicrobial properties, have been applied in pharmaceutical and food industry from many years. In the present study, Thymus vulgaris and Origanum vulgare EO antimicrobial efficacy on paper-born microorganisms, Staphylococcus epidermidis, Rhodotorula mucilaginosa and Alternaria alternata, was investigated to protect water-damaged paper documents and to control indoor air quality for operator’s health safety. T.

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Qfd to Determine Experimental Biopiles Requirements, to Be Used at Bench-scale as a Strategy Against Soil Pollution with Oily Waste

Due to the increase in the amount of oil used, large volumes of hydrocarbons are released annually into the environment, constituting one of the main causes of soil pollution worldwide. The Center for Environmental Studies of Cienfuegos, Cuba; implemented an experimental project to develop an innovative technique as a resilient alternative to this environmental problem. The objective was to implement the Quality Function Deployment (QFD), to determine the design requirements of the experimental units to be used at the bench scale, for the biodegradation of different biopile treatments.

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Bioremediation of Hydrocarbon-Polluted Soil: Evaluation of Different Operative Parameters

The bioremediation of soils polluted with hydrocarbons demonstrated to be a simple and cheap technique, even if it needs a long time. The current paper shows the application of statistical analysis, based on two factors involved in the biological process at several levels. We focus on the Design of Experiments (DOE) to determine the number and kind of experimental runs, whereas the use of the categorical factors has not been widely exploited up to now. This method is especially useful to analyze factors with levels constituted by categories and define the interaction effects.

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Resilient Safer Approach to cope the oily waste generation in industrial facilities: lessons learned from Cuban installations

Nowadays, huge quantities of oily wastewater and oily solid wastes are associated with different industrial activities, which not only may harm the environment and human health but also a performance worsening of the installation. The goal of this study was to establish a resilient approach to cope with oily waste generation in industrial facilities. Several lessons learned from Cuban installations studied separately for ten years in the municipality of Cienfuegos were the cornerstone for the model definition.

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Customised risk assessment in manufacturing: A step towards the future of occupational safety management

Following the enforcement of the EEC Directive (1989), focused on the promotion of workers health and safety, several approaches have been developed in the last 30 years to assess the risks related to the different hazards in the work environment and to identify, based on this assessment process, measures and action to promote safety and to reduce the occupational accidents. These approaches generally are focused on the analysis of the working activity and neglect the influence of the worker characteristics involved, strongly limiting the effectiveness of the risk-based decision making.

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Contributions and Consequences Coming from Human and Organizational Factors to the Accidents

Human and Organizational Factors (HOFs) are usually the root causes of complex system failures. Human reliability analysis (HRA) methods to build the structure of HOFs have been proposed. However, they typically lack validated data. To address this limitation, learning from the past has been considered regarding the EU Major Accident Reporting System’s (eMARS) records. Category data analysis has been applied to support the quantitative analysis.

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Analysis of Human and Organizational Factors Related Accident Reports Based on Natural Language Processing

Lacking data has always been a challenging problem for risk analysts on human and organizational factors (HOFs) since the theme comes to birth. Accident reports are an essential source of HOFs information, but they are often in the form of unstructured text, making it challenging to apply the number statistic method directly. The traditional manual coding of accident records could introduce uncertainties and inefficiencies, especially when a large number of records is available.

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