Habitat modelling is a tool for regionalisation of biotic information by predicting the spatially explicit distribution of species on the basis of environmental properties. Since this recent method has a high relevance in questions of nature conservation and ecological research, there is a need to teach it in environmental studies. The multimedia GIMOLUS-environment provides all elements necess...

This paper studies the saving behavior of rural households in Vietnam from two aspects: volume of savings and methods of saving. Two econometric models are conducted, the first one is a panel data model, used to examine the determinants of household saving; and the second one is a multinomial logit model used to investigate how a household chooses the way to save. Both models are based on the l...

Knowledge concerning the relative importance of biotic and abiotic factors associated with long-term settlement large carnivores in human-dominated landscapes is important for effective species conservation. However, identifying major drivers carnivore occurrences at a continental scale challenging as several can act concert to affect distributions. Thus, we investigated relationship between pe...

the aim followed in this study was to compare the performance of multiple regression vs neural network models to predict the activity of antioxidant enzymes super oxide dismutase (sod), cat alase (cat), ascorbate pero xidase (apx) and peroxidase (pox) in the shoots of wheat (triticum aestivum), alvand cultivar in a soil polluted with cadmium. the treatments consisted of four levels of cadmium (...

The insurance industry is based on risk calculations, high profits, and detailed information. predictive models that companies utilize allow to make accurate decisions about the sector. This research focuses improving accuracy of predicting customers Property Casualty (P&C) insurance. In this study, a reliable quantitative analytical big data method has been developed, Hybrid Grey Wolf Whal...

A reduced probability of finding mates at low densities is a frequently hypothesized mechanism for a component Allee effect. At low densities dispersers are less likely to find mates and establish new breeding units. However, many mathematical models for an Allee effect do not make a distinction between breeding group establishment and subsequent population growth. Our objective is to derive a ...

Understanding landscape patterns in mortality risk is crucial for promoting recovery of threatened and endangered species. Humans affect mortality risk in large carnivores such as wolves (Canis lupus), but spatiotemporally varying density dependence can significantly influence the landscape of survival. This potentially occurs when density varies spatially and risk is unevenly distributed. We q...