One of the authors of the study, Teresa Rivas, from the Mining Engineering School at this university explained to SINC that job duration is also related to adopting bad positions and lack of knowledge of regulations, as a result of which shorter tasks are associated with more falls and less well-trained workers. On the other hand, workers that carry out longer tasks are better prepared for dangerous situations.
To carry out this study, authors surveyed almost 400 workers from 103 companies from industry, construction and the services sector while performing their tasks at height. Bayesian networks, one of the so called “automatic learning” statistical techniques enabling graphic expression of relations of dependence between variables, as well as making estimates in probalistic terms of the influence of each variable and its interaction in the type of fall, were used to analyse researchers’ data.
In previous work these scientists have already analysed the capacity of predicting and interpreting different automatic learning techniques and concluded that Bayesian networks, apart from having a comparable predictive capacity to other statistical methods, “have an excellent interpretative capacity”. Rivas points out that Bayesian networks can be improved with new data, as a result of which they are a very useful tool for identifying causes of accidents and establishing the bases of understanding for a “solidly based” prevention policy.
José María Matías, mathematician from the Department of Statistics at the University of Vigo who also participated in the study, says that these types of techniques can be used for analysing causes “because there is continuous data on victims of work accidents, but beyond just the numbers what we need to look for is how to avoid such accidents, and this is where these methodological contributions play an important role”.
The researcher Rivas concluded that knowing the dependence relationship between the causes of the accident offers experts useful information for improving health and safety at work management models.Referencias bibliográficas:
J. M. Matías, T. Rivas, J. E. Martín, J. Taboada. A machine learning methodology for the analysis of workplace accidents. International Journal of Computer Mathematics (85):3-4, 559 – 578 Marzo-Abril 2008
SINC Team | alfa
A sudden drop in outdoor temperature increases the risk of respiratory infections
11.01.2017 | University of Gothenburg
Urbanization to convert 300,000 km2 of prime croplands
27.12.2016 | Mercator Research Institute on Global Commons and Climate Change (MCC) gGmbH
Among the general public, solar thermal energy is currently associated with dark blue, rectangular collectors on building roofs. Technologies are needed for aesthetically high quality architecture which offer the architect more room for manoeuvre when it comes to low- and plus-energy buildings. With the “ArKol” project, researchers at Fraunhofer ISE together with partners are currently developing two façade collectors for solar thermal energy generation, which permit a high degree of design flexibility: a strip collector for opaque façade sections and a solar thermal blind for transparent sections. The current state of the two developments will be presented at the BAU 2017 trade fair.
As part of the “ArKol – development of architecturally highly integrated façade collectors with heat pipes” project, Fraunhofer ISE together with its partners...
At TU Wien, an alternative for resource intensive formwork for the construction of concrete domes was developed. It is now used in a test dome for the Austrian Federal Railways Infrastructure (ÖBB Infrastruktur).
Concrete shells are efficient structures, but not very resource efficient. The formwork for the construction of concrete domes alone requires a high amount of...
Many pathogens use certain sugar compounds from their host to help conceal themselves against the immune system. Scientists at the University of Bonn have now, in cooperation with researchers at the University of York in the United Kingdom, analyzed the dynamics of a bacterial molecule that is involved in this process. They demonstrate that the protein grabs onto the sugar molecule with a Pac Man-like chewing motion and holds it until it can be used. Their results could help design therapeutics that could make the protein poorer at grabbing and holding and hence compromise the pathogen in the host. The study has now been published in “Biophysical Journal”.
The cells of the mouth, nose and intestinal mucosa produce large quantities of a chemical called sialic acid. Many bacteria possess a special transport system...
UMD, NOAA collaboration demonstrates suitability of in-orbit datasets for weather satellite calibration
"Traffic and weather, together on the hour!" blasts your local radio station, while your smartphone knows the weather halfway across the world. A network of...
Fiber-reinforced plastics (FRP) are frequently used in the aeronautic and automobile industry. However, the repair of workpieces made of these composite materials is often less profitable than exchanging the part. In order to increase the lifetime of FRP parts and to make them more eco-efficient, the Laser Zentrum Hannover e.V. (LZH) and the Apodius GmbH want to combine a new measuring device for fiber layer orientation with an innovative laser-based repair process.
Defects in FRP pieces may be production or operation-related. Whether or not repair is cost-effective depends on the geometry of the defective area, the tools...
10.01.2017 | Event News
09.01.2017 | Event News
05.01.2017 | Event News
16.01.2017 | Power and Electrical Engineering
16.01.2017 | Information Technology
16.01.2017 | Power and Electrical Engineering