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Wyświetlanie 1-4 z 4
Tytuł:
Analysis of work-related injuries in mining industry in Serbia
Autorzy:
Ivaz, Jelena
Petrović, Dejan
Nikolić, Ružica R.
Djoković, Jelena M.
Powiązania:
https://bibliotekanauki.pl/articles/88464.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:
mining industry
safety
work-related injuries
absence from work due to injury
przemysł wydobywczy
bezpieczeństwo
wypadek przy pracy
bezpieczeństwo i higiena pracy
absencja powypadkowa
Opis:
The mining industry in Serbia has an important place in the country's economic development. Bearing in mind that the number of injuries that occur in the mining industry is unacceptably high, occupational safety and health is a challenge that existing and future mines will have to deal with. Studying injuries in mining, it was noticed that injuries requiring an absence from work for more than three days (especially fatal ones) are diametrically different in relation to the cause and manner of events related to injuries for which an absence from work is not necessary. In this research, authors focused on injuries that were characterized as ones requiring an absence from work. The statistical analysis of work-related injuries in mining is presented, as well as analysis of the direct causes of injuries, which are described as unsafe conduct of employees, unsafe conduct of company's management and/or unsafe working environment. In relation to classification of causes of injuries, a recommendation on what needs to be changed in order to remedy this situation in Serbia is given.
Źródło:
System Safety : Human - Technical Facility - Environment; 2020, 2, 1; 158-165
2657-5450
Pojawia się w:
System Safety : Human - Technical Facility - Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of the work-related injuries based on neural networks
Autorzy:
Ivaz, Jelena
Nikolić, Ružica R.
Petrović, Dejan
Djoković, Jelena M.
Hadzima, Branislav
Powiązania:
https://bibliotekanauki.pl/articles/1831305.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:
mining industry
safety
work-related injuries
artificial neural networks
przemysł górniczy
bezpieczeństwo
wypadek przy pracy
sztuczne sieci neuronowe
Opis:
Artificial neural networks (ANN) are a powerful tool in the decision-making process, especially in solving the complex problems with a large number of input data. The possibility to predict the work-related injuries in the underground coal mines, based on application of the neural networks, is analyzed in this work. the input data for the network were obtained based on a survey of 1300 respondents. After analyzing the input data influence on the network output, 14 most influential inputs were selected, with help of which the network correctly predicted whether the worker would suffer the work-related injury or not, with 80% precision. The two models were developed, based on the multilayer perceptron (MLP) and radial basis function (RBF) networks. The two models' results were compared to each other. The sensitivity analysis was used to select the most influential parameters, like mine, age of miners, as well as their work experience. The parameters were further analyzed by use of the descriptive statistics. The selected parameters are direct indicators of problems that can cause injuries. The obtained results point to the fact that the work-related injuries can be successfully predicted by application of the artificial neural networks. The proposed models' importance is reflected in the clear indicators for enforcing the stricter occupational safety and organizational measures in order to reduce the number of work-related injuries in underground mines.
Źródło:
System Safety : Human - Technical Facility - Environment; 2021, 3, 1; 19-37
2657-5450
Pojawia się w:
System Safety : Human - Technical Facility - Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Landfill leachate migration modeling using the LandSim software. Case study of Gigoš Regional sanitary landfill
Autorzy:
Petrović, Natalija
Vasović, Dejan
Nešić, Bratimir
Petrović, Nemanja
Powiązania:
https://bibliotekanauki.pl/articles/28407394.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
waste migration
landfill
concentration of pollutants
heavy metals
migracja odpadów
składowisko
stężenie zanieczyszczeń
metale ciężkie
Opis:
The paper aims to provide insight into data on leachate migration, composition, and migration time and to improve the engineered barrier system (EBS) importance through different pollutant concentrations in the landfill at the base of the unsaturated zone and off-site, for the real-case scenario with composite liners (EBS) and the worst-case scenario with no liners (NO EBS) using the Land Sim software for 30, 100, 1000 and 20 000 years in 1000 iterations. Also, the paper aims to analyze the leachate leakage through the waste for different migration times and different internal layers to create a qualitative and quantitative basis for assessing leachate’s impact on the environment. The results obtained by modeling the parameters of the real case at the Gigoš landfill showed that the leachate leakage amount is about 340 times lower when EBS is present and concentrations of nitrogen, chlorides, arsenic, lead, cyanides, and mercury in the worst-case scenario (NO EBS) exceed the permitted limits according to the laws of the Republic of Serbia.
Źródło:
Environment Protection Engineering; 2023, 49, 4; 89--108
0324-8828
Pojawia się w:
Environment Protection Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Step Forward Towards Exploring Nutritional and Biological Potential of Mushrooms: A Case Study of Calocybe gambosa (Fr.) Donk Wild Growing in Serbia
Autorzy:
Petrović, Joavana
Fernandes, Angela
Stojković, Dejan
Soković, Marina
Barros, Liliana
Ferreira, Isabel C.F.R.
Shekhar, Aditya
Glamoclija, Jasmina
Powiązania:
https://bibliotekanauki.pl/articles/2019468.pdf
Data publikacji:
2022-03-01
Wydawca:
Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
Tematy:
C. gambosa
nutritional value
biological activity
chemical characterization
food ingredient
Opis:
Edible mushrooms have been appreciated globally for their organoleptic, nutritional and chemical properties. In the present study, fruiting body of Calocybe gambosa, wild growing in Serbia, has been chemically characterized (content of macronutrients, soluble sugars, tocopherols, fatty and organic acids) and its bioactive (antimicrobial and antioxidant) properties were evaluated. The results obtained suggest that this mushroom is a source of carbohydrates and proteins (72 g/100 g dry weight (dw) and 16 g/100 g dw, respectively), with a low fat content (1.5 g/100 g dw). Sugar analysis revealed the presence of trehalose (3.82 g/100 g dw) and mannitol (0.22 g/100 g dw). Tocopherol composition revealed the presence of α-tocopherol (7.8 μg/100 g dw), while fatty acid analysis revealed the presence of 24 fatty acids with the prevalence of polyunsaturated fatty acids. Amongst organic acids, oxalic, quinic, malic, citric and fumaric acid were detected (2.8 g/100 g dw, 1.45 g/100 g dw, 11.3 g/100 g dw, 1.3 g/100 g dw, 0.08 g/100 g dw, respectively). Comprehensive antioxidant activity analysis (reducing power, DPPH radical scavenging activity, β-carotene/linoleate and TBARS assays) indicate that the mushroom is a perspective antioxidant source, whereas its antimicrobial potential turned out to be moderate. Nevertheless, at a sub-inhibitory level, the methanolic extract disrupted cell-to-cell communication using Pseudomonas aeruginosa PAO1 as a model system. Finally, enrichment of oatmeal cookies with C. gambosa flakes not only improved their nutritional value, but was praised among the participants in sensory evaluation test, indicating that along with results of chemical composition and biological activity, this mushroom has a potential to be regarded as functional food.
Źródło:
Polish Journal of Food and Nutrition Sciences; 2022, 72, 1; 17-26
1230-0322
2083-6007
Pojawia się w:
Polish Journal of Food and Nutrition Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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