In this article, a two-week boot camp (orientation programme) implemented at Madina Institute South Africa to prepare first-year entry students for the academic year programme is outlined. The specific outreach approaches that the teachers used to deliver the Arabic language to the learners during the boot camp are covered. Drawing from learning theories and relevant research literature, useful insights accentuating the significance of learner preparation for pedagogic access prior to the delivery of the main curriculum during the year are provided. The boot camp, combined with an effective delivery style, resulted in first-year students not only enjoying the various presentations but likely to develop confidence and positive learning outcomes of the study. Reflections of one of the second-year students who assisted in the boot camp as a tutor reveal that the boot camp is a useful strategy for preparing students towards dealing with the main curriculum for the year.

Learning is the main part of life of people. Results of several studies indicate that physical characteristics of the environment have a significant effect on individual and group learning, and satisfaction. The physical environmental variables include light, noise, color, view and landscape, indoor air quality, and environment design for energy efficiency, access and spatial pattern that are commonly associated with satisfaction. People who learn the art and science in universities and higher education institutions, almost a fifth of his/her life -from primary school until the end of studies- spend in educational environments. Thus, proper design of these spaces, compliance with standards and quality indicators are considered a contributing factor in enhancing the quality of educational spaces. The use of functional indicators and aesthetic principles in the design of educational spaces, in addition to meet the physical and psychological needs of students, foster their talents and creativity to flourish. The existence of the spaces having desirable physical attributes; is one the most effective way to improve satisfaction of students. High performance universities have valuable educational spaces in respect of visual quality and creation of these qualities can be possible thorough proper design and implementation. The purpose of this paper is to achieve an important factor in architectural design studio. In this correlation research, the target population included all of architecture students in Tehran universities. Among this population, 72 students of two universities of Tehran (Iran University of Science and Technology, and Shahid Rajaee Teacher Training University), were selected by the method of multistage cluster sampling. Questionnaire is accomplished, and effects of studio’s physical variables on students’ performance studied. Questionnaire reliability measure of Alpha Chronbach yielded 0.79 (= 0/79). The findings show the importance of four variables; “lighting quality”, “view and its effects”, “color of walls”, and “the material used”.

Many institutions are employing considerable efforts to enhance Signal Processing (SP) education to meet a demand of modern-age industry. In general, teaching SP course consists\nof three necessary modes. The first mode is the presentation of theoretical results and the second is to cite relevant examples for illustration purposes, and the third is to conduct lab sessions. We focus our attention in this paper on the second aspect of citing meaningful related examples in class room. We propose here that instead of picking examples from different\napplications, the application should be kept constant and examples are picked from various stages present in this\napplication. ECG signal extraction can be posed as one such application with practical realization employing human being, laptop computer, and breadboard. We found from our teaching experience that by adopting this strategy, students\ncan comprehend the SP concepts in more effective and interesting way.

Background:Neurotransmitters, such as dopamine and serotonin, play an undeniable role in the incidence of mental illnesses. Almost all humans will experience depression. Also, most humans lack the ability to control and reduce depression, the disorder can lead to physical damage.This study aimed to determine the association between map distribution of depression and the Climatic conditions in the Iran country.Methods: Spatial distribution maps of depression were plotted by using data recorded during 2010 year in the Iran Health center Registry.The geographical mapping of depression and Climatic conditions were then incorporatedinto a geographic information system (GIS) to create a spatial distribution model. Results: The spatial distributions of depression diseases in the country, followed by were scattered based on Climatic conditions. In fact, common depression were more prevalent in the parts of the country where Cold& Rainy weather was more abundant\nConclusion: The findings of this study can be useful for psychologists and controlling of this disease, because lack the ability to control and reduce depression, the disorder can lead to physical damage.The data is also important to establish further effects modeling for depression. Moreover, psychologists and health professionals should consider the impact of environmental Factors on their patients\' health.

Our study was conducted at Sidi Mhamed Benali, in the province of RELIZANE in order to analyze the effects of season on the results of artificial insemination in dairy cows. Biochemical profiles such as (blood sugar, blood urea, serum calcium and phosphorus) as well as taking temperature ambient were carried on the day of artificial insemination (AI). The results show that cows with a failure of artificial insemination showed an hyperuremia and an hypoglycemia associated with an hypophosphatemia of (0.34 g / l), p <0.05, (0.27 g / l) with a p <0.05, (34,78 mg / l) with p <0.05 respectively during the cold season, while during the warm season they presented hypocalcemia of (68,01 mg / l). In conclusion, the seasonal effect on the failure of artificial insemination is mainly related to the nutritional status of dairy cows during the cold season and heat stress during the hot season.

This study aims to find out academicians’ attitudes towards multiculturalism in their classes who work at Aksaray University, Turkey. Their attitudes hold great importance in higher education’s adaptation to the globalization that brings many people from various cultural backgrounds together in a class. For this purpose, attitudes of 122 academicians who were selected by simple random sampling method from different faculties, vocational schools and departments have been collected via a five point scale translated into Turkish by Yazıcı (2009), namely “Teacher Multicultural Attitude Survey (TMAS)”. Obtained data has been analyzed by using t-test and one tailed variance analysis in order to find out whether there is a meaningful difference between the descriptive statistics such as department, gender, experience, where most of their life has been spent etc.

In Internet computing, swarm intelligence has a fully grown interest in learning dynamic optimization problems. Many approaches are developed. The immigrants and memory schemes are major ones. The immigrant Scheme addresses dynamic environments by maintaining the population diversity whereas the memory scheme aims to adapt quickly to new environments by reusing historical data. In recent years, there has been a growing interest in addressing dynamic optimization problems (DOPs) using swarm intelligence (SI) algorithms. Several approaches are developed for SIs to enhance the diversity of the population and reinforce the performance of the algorithm for DOPs. In this paper, memory schemes and memory based immigrants are applied to Bacteria Foraging Optimization Algorithm (BFOA) for the Dynamic Shortest Path Routing Problem (DSPRP). Moreover, Experimental results show that the memory based immigrants schemes efficiently enhance the performance of bacteria foraging optimization algorithms in dynamically changing environments.

Secret image sharing is the technique for securing images that involves the distribution of secret image into several shadow images. Secret sharing for color image is proposed in this article using Asmuth bloom technique which is further extended for accurate reconstruction of given original image. The secret image is reduced in pixel value using a quantization factor resulting in quantized secret image and a difference image. Secret shares based on Asmuth Bloom scheme are generated from the quantized secrets and are distributed among n participants specified atleast t of them should gather to reveal the difference secret image and therefore the respective quantized image. The original secret is reconstructed using the inverse quantization process. During reconstruction, Inorder to spot the precise cheating participants, a completely unique approach based on zigzag gridding is proposed which helps to accurately trace the fake shares. The probability of filtering out the fake shares has been found that 89% of true results are obtained.