Socio-economic Factors of Soil Pollution

Várallyai, László; Botos, Szilvia; Péntek, Ádám

doi:10.1016/s2212-5671(15)01739-6

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…We analyzed the whole database used factor analysis to demonstrate this contracts the coherent factors into one common factor. We examined the variables on the basis of the Kaiser-Meyer-Olkin (KMO) criteria to determine whether they are suitable for factor analysis (Várallyai, Botos and Péntek, 2015). The value of the KMO is 0.886 (Table 3), which means that the variables are suitable for factor analysis.…”

Section: Resultsmentioning

confidence: 99%

The E-Learning System Success: Assessment of the Service Quality Using Binominal Logistic Regression

et al. 2017

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The success and the efficiency of e-Learning should be measured by a reliable method in order to use it effectively. Although, there are several studies about the success of e-Learning systems, only a few of them deal with the measurement of this success within the institutions. We made a questionnaire to evaluate the e-Learning application. The aim was to develop such questionnaire which is suitable to evaluate e-Learning quality. The basis of the e-Learning quality questions was a multi-dimensional model for assessing e-learning systems success (ELSS). The aim of the questionnaire were to compare the opinions of the students and the teachers and also to evaluate the Faculty of Economics and Business (FEB) of the University of Debrecen and the Corvinus University of Budapest (CUB) regarding the application of e-Learning. The role of the questionnaire for quality development is to give guidance for the FEB in implementing and using e-Learning. E-Learning in the CUB is applied under certain organized institutional circumstances. The e-Learning application of CUB works with an organization defined extended several faculties of the University, which can be a good example for FEB. We have used factor analysis and binominal logistic regression. We have examined whether the background variables manipulating the variables are possible to be developed on the basis of the answers. We used factor analysis to demonstrate this since it contracts the coherent factors into one common factor. Finally we used logistic regression to determine the importance of a given factor for the users of both faculties.

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Section: Resultsmentioning

confidence: 99%

The E-Learning System Success: Assessment of the Service Quality Using Binominal Logistic Regression

et al. 2017

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“…Nutritional analysis of food encompasses evaluation of moisture, ash, crude fat, crude protein and fibre contents (Nano, 2019). Factors such as climate, ground water and industrial effluents pollution can affect composition of elements in plants and subsequently influence the nutritional quality of plants negatively (Varallyai et al, 2015). Spices are vegetable products which may be derived from bark, buds, flowers, fruits and seeds; commonly employed in food for their flavouring, colour imparting and aroma giving properties (Ameh et al, 2016;Olife et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Nutritional and Elemental Characterization of Local Forest Spices used among Itsekiri Ethnics, Nigeria

Ofodile¹,

Odatuwa-Omagbemi

Oladele

et al. 2021

J. basic appl. res. biomed.

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Although spices are added to food in small quantities for their flavour and aroma, they also have impact on the health of consumers. This study aimed at ascertaining the nutritional and elemental composition of the most preferred forest spices used amongst Itsekiri ethnics in Delta state, Nigeria. The most preferred spices were determined through questionnaire administration to 143 users and sellers. Crude protein, fat, fibre, ash and moisture content were analyzed using the standard methods of the Association of Official Analytical Chemists (AOAC). Elemental analysis was done using PIXE accelerator to detect the heavy metals (Mg, Al, Si, Cr, Fe, Zn, Mn & Cu) in the five most preferred local spices. One way ANOVA was used to separate the means of the elements while mean comparison was done with LSD. The five most preferred spices include Monodora myristica, Xylopiaa ethiopica, Parinari excelsa, Aframomum subsericeum and Ighereje (Itsekiri local name). Xylopiaa ethiopica had the highest Crude protein (16.83%) while Parinari excelsa had the lowest percentage crude protein (11.67%). Monodora myristica had highest moisture content (10.8%) while Xylopia aethiopica had the lowest (6.52%). Elemental analysis revealed magnesium as the highest in concentration for Ighereje (3079.03ppm). Silicon and manganese were found to be higher in Aframomum subsericeum with 1488.2ppm and 148.9ppm respectively. Overall, the spices were found to contain significant nutrients required for good health. However, the concentrations of some elements in the spices per 1 kg samples were higher than the WHO/FAO maximum permissible daily limit which could make the spices not safe for daily consumption. But very little quantity are needed as flavourant (usually below 50g/family NOT individual), therefore consumption of the forest spices may be deemed safe for consumption.

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Microbial enzymes in biodegradation of organic pollutants: mechanisms and applications

Baffi,

de Azevedo,

Fornazier Borges

et al. 2024

Microbiome-Based Decontamination of Environmental Pollutants

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Socio-economic Factors of Soil Pollution

Cited by 6 publications

References 21 publications

The E-Learning System Success: Assessment of the Service Quality Using Binominal Logistic Regression

The E-Learning System Success: Assessment of the Service Quality Using Binominal Logistic Regression

Nutritional and Elemental Characterization of Local Forest Spices used among Itsekiri Ethnics, Nigeria

Microbial enzymes in biodegradation of organic pollutants: mechanisms and applications

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