interest in arid ecosystems as a source of food supply for rapidly increasing population of the world, on the one hand, and the problems pertaining to the climatic characteristics, water shortages and soil sensitivity for the inhabitants in such areas, on the other have prompted efforts at both national and international levels to develop a better understanding of these problems as well as to f...

in this paper, we consider an arbitrary binary polynomial sequence {a_n} and then give a lower triangular matrix representation of this sequence. as main result, we obtain a factorization of the innite generalized pascal matrix in terms of this new matrix, using a riordan group approach. further some interesting results and applications are derived.

virtue epistemology is a class of recent approaches to epistemologythat, in contrast with analytic epistemology, focuses on epistemicevaluation of persons’ properties, rather than properties of beliefs.this paper seeks to explain the nature of virtue epistemology as wellas its main approaches. explaining the nature of epistemic virtue as areliable belief-forming faculty and the character traits...

education has stepped to an ultra-place and time in 21st century. We have entered to digital and wireless communication century which mobile technologies have changed the process of education and instruction. The application of these mobile technologies for creation of knowledge, attitude and skill in learners is called Mobile Learning. The effectiveness of mobile learning programs requires new...

Machine learning algorithms recently have made major advances, with decision tree classifiers gaining wide acceptance. Boosting and bagging of decision trees have added to the predictive capabilities of these approaches. Object-oriented (O-O) analyses have been developed during this same period, offering important improvements in classification over pixel-based approaches under certain conditio...

The ‘Bayesian Coding Hypothesis’ formalises the classic Helmholtzian picture of perception as inverse inference, stating that the brain uses Bayes’ rule to compute posterior belief distributions over states of the world. There is much behavioural evidence that human observers can behave Bayesoptimally, and there is theoretical work that shows how populations of neurons might perform the underly...