Network Functions Virtualization facilitates the automation of scaling softwarized network services (SNSs). However, realization such a scenario requires way to determine needed amount resources so that SNSs performance requisites are met for given workload. This problem is known as resource dimensioning, and it can be efficiently tackled by modeling. In this vein, paper describes an analytical...

humanizing language learning materials helps language teachers to design activities that are linked to learn- ers’ lives and experiences. this can result in higher motivation and engagement in the process of foreign language learning. self-determination theory-based instruction enhances learners’ engagement and motiva- tion through supporting the basic psychological needs for autonomy, competen...

in this paper, the radial breathing mode (rbm) frequencies of multi-walled carbon nanotubes (mwcnts) are  obtained based on the multiple-elastic thin shell model. for this purpose, mwcnt is considered as a multiple concentric elastic thin cylindrical shells, which are coupled through van der waals (vdw) forces between two adjacent tubes. lennard-jones potential is used to calculate the vdw forc...

abstract to investigate the effect of community of inquiry method on improvement of interpersonal relationship skills, based on lipman’s theory, an experiment was conducted in tehran primary schools among students of third, fourth and fifth grade. 190 boy and girl students were randomly selected (97 boys, 93 girls) and assigned to experimental and control groups (88 experimental, 102 control). ...

over the past decade, the chemical behavior of flavonoids as antioxidants has become the subject ofintense experimental research. in this paper, we use a quantum-chemical approach to shed light on thereactivity of four poly phenols, benzoic acid, vanilic acid, gallic acid and flavone . in order to establishthe most efficient theoretical methodology, different methods, either hartree—fock-based ...

in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...