This study investigated the relationship of causal attributions and academic attainment of Colleges of Education students in north- west geo- political zone of Nigeria. The study was based on the hypothesis that there is no significant relationship between causal attributions and academic attainment of students. The questionnaire on Academic Causal Attribution Scale (ACAS) were administered to 389 students (300 level) drawn from eight (8) Colleges o f Education. Furthermore, students’ Grade Point Average (GPA) was used as measures of academic attainment. Thus, Pearson Product Moment Correlation was employed to determine the degree of relationship of the said variables. Thus, the findings revealed that there were no significant correlations identified among the causal attribution factors and academic attainment of students except with external attribution of failure in which significant correlation was established with academic attainment. The study therefore, recommends that students should not be reprimanded when they fail examination, instead, they should be encouraged to put more efforts and they should be involved in teaching and learning activities in a bid to encourage them so that they will record success in their future academic pursuit and as well minimize shifting blame for their failure consistently to external factors.

This paper presents a new technique for expressing rhotrices in a generalize form. The method involves using multiple array indexes as analogous to matrix expressions, unlike the earlier method in the literature, which can only be functional in a single array computational environment. The new rhotrix look will encourage the study of rhotrix algebra and analysis from a better perspective. In addition, computing efficiency and accuracy will also be improved, particularly when the operations in rhotrix space over the new expression are algorithmatized for computing machines.

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With the latest advances in computing technology, a huge amount of efforts have gone into simulation of a range of scientific phenomena in engineering fields. One such case is the simulation of heat and mass transfer in capillary porous media, which is becoming more and more necessary in analyzing a number of eventualities in science and engineering applications. However, this procedure of numerical solution of heat and mass transfer equations for capillary porous media is very time consuming. Therefore, this paper pursuit is at making use of one of the acceleration methods developed in the graphics community that exploits a graphical processing unit (GPU), which is applied to the numerical solutions of such heat and mass transfer equations. The nVidia Compute Unified Device Architecture (CUDA) programming model offers a correct approach of applying parallel computing to applications with graphical processing unit. This paper suggests a true improvement in the performance while solving the heat and mass transfer equations for capillary porous radially composite cylinder with the first type of boundary conditions. This heat and mass transfer simulation is carried out through the usage of CUDA platform on nVidia Quadro FX 4800 graphics card. Our experimental outcomes exhibit the drastic overall performance enhancement when GPU is used to illustrate heat and mass transfer simulation. GPU can considerably accelerate the performance with a maximum found speedup of more than Communications 5-fold times. Therefore, the GPU is a good strategy to accelerate the heat and mass transfer simulation in porous media.

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