The objective of this paper is to analyse the possibility to use the Grey-TOPSIS method to assess the occupational risk management (ORM), in the situation whereby linguistic variables were used in the assessment process. The TOPSIS method has already been in use for a number of years to assess alternative solutions in many areas other than the work safety area. This paper remedies some shortcomings in using the Grey Systems Theory (GST) in ORM, and constitutes an original application of Grey-TOPSIS in the work safety area. Considering that assessment of the ORM process involves estimation of performance particular components of this process, the eight sub-processes were adopted for assessment purposes. The degree of fulfilment of a given sub-processes was assigned a respective verbal grade from Completely Wrong to Perfect. In performing this assessment, systems being in place in four furniture-manufacturing companies were selected to minimise impacts of external factors upon the ORM in these companies. By using the Grey-TOPSIS method, it was possible to rank these companies from the point of view of functioning of the ORM process, and to identify the best and the weakest company in this respect. Further research work should be conducted with the aim to develop some new hybrid, multi-criterion assessment methods, which will develop within the frameworks of the GST.
The maintenance system is a key system that provides continuity and safety of the operation of production systems and that affects the safety of people working in these systems. At the same time, the maintenance system is a set of work processes carried out by people under specific environmental conditions, using specific equipment and within a specific organizational and management structure. The purpose of this article is to identify the main management factors that affect occupational safety and to rank these factors in terms of their effectiveness in ensuring safe maintenance, using the grey systems theory. Based on the literature analysis, 12 key management factors were identified and then subjected to expert assessment. In order to rank the factors, a decision model based on the grey systems theory (GST), i.e. systems with incomplete and uncertain information about structure and behavior, was developed and verified. The use of GST in the area of ensuring safety in maintenance is original. The findings of the article will be very useful for managers in implementing safe maintenance systems in various sectors of the economy.
Individuals with fragile X syndrome (FXS) are frequently diagnosed with autism spectrum disorder (ASD), including increased risk for restricted and repetitive behaviours (RRBs). Consistent with observations in humans, FXS model mice display distinct RRBs and hyperactivity that are consistent with dysfunctional cortico-striatal circuits, an area relatively unexplored in FXS. Using a multidisciplinary approach, we dissected the contribution of two populations of striatal medium spiny neurons (SPNs) in the expression of RRBs in FXS model mice. We found that dysregulated protein synthesis at cortico-striatal synapses is a molecular culprit of the synaptic and ASD-associated motor phenotypes displayed by FXS model mice. Cell-type-specific translational profiling of the FXS mouse striatum revealed differentially translated mRNAs, providing critical information concerning potential therapeutic targets. Our findings represent the first evidence of a cell-type specific impact of the loss of FMRP on translation and the sequence of neuronal events in the striatum that drive RRBs in FXS.
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