The propensity to make risky choices has a genetic component, and recent studies have identified several specific genes that contribute to this trait. Since risk-taking often appears irrational or maladaptive, the question arises how (or if) natural selection favors risk-taking. Here we show, using a stochastic simulation of selection between two hypothetical species, "R" (risk-seeking) and "A"...

The paper aims to investigate curvature inheritance (CI) symmetry in M-projectively flat spacetimes. It is shown that the CI spacetime a conformal motion. We have proved M-projective tensor follows property along vector field ξ, when admits conditions of both and motion or ξ. Also, we derived some results for with perfect fluid following Einstein equations (EFEs) cosmological term admitting an ...

The practice of Islamic inheritance law in Muslim communities Indonesia experiences many obstacles. One the reasons is that there still a tradition distribution assets when parents are alive and prevailing kinship system. It was found transferring property to coastal santri community Pekalongan City. This paper reveals method dividing prospective mechanism for resolving disputes event dispute. ...

This paper analyzes the intergenerational effects following positive changes in women’s inheritance rights India. Using Indian Human Development Survey data for rural India and a difference-in-differences strategy, we find that property reform significantly empowered women through increased education. However, no effect of on children’s We explore two potential mechanisms to explain these resul...

In this article, I investigate state policies in socialist rule Bulgaria, encouraging pensioners to work beyond retirement and their impact on eldercare. First, argue that the 1970s, Bulgarian began occupying economic niches similar those of labor migrants Western Europe. The actively promoting after were introduced parallel with legislation older people distribute property among potential heir...

In this paper we present the Data and Knowledge Model (DK-model) that integrates the representation of data and certain types of knowledge in a semantic data model. The ER model is used as a basis for the DK-model. The main features of the DK-model are modularity of modelling, generalization/spe-cialization hierarchies, deductive capabilities in the form of so-called virtual attributes, and inh...

The self-organizing map’s unsupervised clustering property, is known for classifying high dimensional data sets into clusters that have similar features. Using this property and arranging self-organizing maps into hierarchies, we demonstrate in this paper that legacy code can be potentially broken down into suggested classes using hierarchical self-organizing maps. This is in conjunction with i...