Abstract

This study examines the impact of the teachability of vocabulary learning strategies (VLSs) on Libyan EFL teachers and students at university level. It investigates the extent to which instructing language teachers in how to integrate strategic intervention into regular classes impacts upon teachers’ and students’ use, promotion of the use, and perceptions of usefulness of vocabulary learning strategies. The empirical research in this area has been very limited, and the vast majority of studies have centred around examining the influence of strategy instruction on language learners’ achievements. Bearing this in mind, the present study provides an exciting opportunity to advance knowledge of the impact of direct teaching of VLSs on EFL teachers and students alike. The findings make an important contribution to literature in the field of vocabulary learning and teaching. The study recruited 109 participants, including 13 EFL teachers from two different university levels (Year 1 and 2) and two English language faculties at the Al-jabal Al-gharbi University in the cities of Tiji and Badr. The aims were 1) to identify the current situation in terms of VLSs known, promoted or used, 2) to design a strategy training programme for teachers and students, and 3) to trial and evaluate the effectiveness of the training programme on students’ and teachers’ use, promotion, and adoption of learning strategies. To achieve the research aims, three studies were carried out and two phases of training arranged. Teachers were targeted in the first phase, which was administered by the researcher and ran for a 2-week period, with students targeted in the second phase, which was carried out by trainee teachers, with the researcher’s guidance, for 10 weeks. Data for this research were collected using a multi-method approach in the form of VLS questionnaires, semi-structured interviews, observations, and an evaluation form. The quantitative and qualitative data obtained from the instruments were triangulated to allow for a more comprehensive understanding, as well as to render reliable conclusions. Microsoft Office Excel programmes, SPSS (Statistical Package for the Social Science), and a qualitative content analysis were used to analyse the data gathered. The results of the study reveal that the training had a positive impact on both the teachers’ and students’ attitudes, perceptions and adoption of VLSs. What is more, teachers and students showed an increased awareness of using/promoting the use of learning strategies even when the training had finished, which in turn indicates that the impact of VLS training has been durable.

Hadoop has been developed as a platform solution for processing a large scale of data in parallel for different applications in Cloud com-puting. A Hadoop system can be characterized based on three main factors: cluster, workload, and user. Each of these factors can be described in heterogeneous environment, which reflects the heterogeneity degree of the Hadoop system. This paper investigates the effect of heterogeneity in each of these factors on the performance of Hadoop for different schedulers. Three schedulers which consider differ-ent levels of Hadoop heterogeneity are used for the analysis: FIFO, Fair sharing, and COSHH (Classification and Optimization based Scheduler for Heterogeneous Hadoop). Performance issues are introduced for Hadoop schedulers and comparative performance analysis between different cases of jobs submission. These jobs are processed in heterogeneous data environments and, under fixed or reconfigu-rable slot between map and reduce tasks for Hadoop MapReduce java programming clustering model. The results showed that when assigning tunable knob between map and reduce tasks under certain scheduler like FIFO algorithm, the performance enhanced about 81.42% especially in cases of heterogeneity environment where the workload is decreased significantly and the utilization of computa-tional resources in increased obviously.

Hadoop is a Java-based programming framework that supports the storing and processing of large data sets in a distributed computing environment and it is very much appropriate for high volume of data. It uses HDFS for data storing and uses MapReduce for processing that data. MapReduce is a popular programming model to support data-intensive applications using shared-nothing clusters. The main objective of MapReduce programming model is to parallelize the job execution across multiple nodes for execution. Nowadays, all focus of the researchers and companies toward to Hadoop. Due to this, many scheduling algorithms have been proposed in the past decades. There are three important scheduling issues in MapReduce such as locality, synchronization and fairness. The most common objective of scheduling algorithms is to minimize the completion time of a parallel application and also achieve to these issues. Performance issues are introduced for Hadoop schedulers, and comparative performance analysis between different cases of jobs submission. These jobs are processed in different homogenous data environment and, under fixed or reconfigurable slot between map and reduce tasks for Hadoop MapReduce java programming clustering model. The results showed that when assigning tunable knob between map and reduce tasks under certain scheduler like FIFO algorithm, the performance enhanced 16.66% in inverted index, 55.55% in word count and 11.76% in classification process.

Infertility is a worldwide health issue with high impact on the individuals involved and the society as a whole. Estimates of infertility are very important to inform social and economic policies. The aim of this systematic literature review is to estimate the prevalence of primary and secondary infertility in Middle East and North Africa (MENA) region and produce the overall estimate of the different indicators of infertility in MENA region. A systematic search was conducted to identify publications providing data from MENA countries. All titles and abstracts retrieved using this search strategy were managed by Endnote software, duplicates were removed and studies on animals, systematic reviews, and from non-MENA region was removed from the EndNote library. Seven electronic databases and websites were searched for relevant articles and surveys with no language or date restriction on July 2017. Data of prevalence 

Natural abundance and host plant preference of the endoparasitoids O. pallipes was studied in Ojelat region. Four host plants were studied [tomatoes (Solanum lycopersicum) pepper (Capsicum annuum) eggplant (Solanum melongena) and kidney bean (Phaseolus vulgaris)] The parasitoids showed high populations in April and May that kept the populations of the serpentine leafminer L. trifolii at low densities till the end of the season on all studied host plants. O. pallipes recorded two peaks of abundance on the four studied host plants recording (19, and 24 individuals/ 50 infested leaflets) on tomatoes, (18, and 16 individuals/ 50 infested leaflets) on pepper, (26 and 20 individuals/ 50 infested leaflets) on eggplant and (32, 26 individuals/ 50 infested leaflets) on kidney bean during the season of the study. O. pallipes showed a relatively low preference towards kidney bean and eggplant compared with pepper and tomatoes.

Software Defined Networking (SDN) is an important paradigm shift of computer networking in the last 10 years. The concept of SDN is so powerful that the potential of applying it can easily be perceived beyond the initial use case of large data centre networks. We are motivated by this perception to explore the potential use of SDN in the context of home networks specifically, even though home environments were not the driving scenario behind SDN in the first years of its development. Lacking other reviews on the subject, we performed a focused search for every article that proposes, discusses or otherwise addresses the idea of implementing SDN in home networking. We surveyed four major technical and online databases (IEEE Xplore, ACM, ScienceDirect and Wiley) to ensure the inclusion of relevant, quality and authentic works. The final filtered set included 42 articles that spanned the period from 2010 to 2017. Most of the articles address specific aspects of controlling and managing home networks, such as Quality of Experience, security, Internet caps, Internet-of-Things device management and other specific themes, while the rest of articles address the generic case of managing home networks using SDN without a special focus on a particular target application. We derive a simple taxonomy for the works on home SDN and summarize the complete set of works, highlighting few points along the way and drawing few simple statistics.

With advances in technology, the internet has allowed advertisers to design advertisements with unique features that can help capture consumers’ visual attention and enhance their psychological states such as attitudes and emotions. Yet, web advertising features and attributes can significantly contribute to online consumer behaviors. This paper strives to provide guidelines for researchers and advertisers as to what outlines the effects of online advertising design on consumers’ processing and multiple outcomes. The findings indicated that exposure to a well-designed online advertisement can influence several cognitive and emotional responses, such as attention to the ad, motivations to process the ad, depth of processing, pleasure, arousal, and online purchase intention. According to the present review, consumer involvement is regarded as an important moderator in the relationships between web advertising content as well as design and several responses, including consumers’ intention to search and process information. The article concludes by identifying several areas of opportunities for advancing our understanding of web advertising effects. Marketers and advertisers will find the current work useful, as it can be used to maximize the effectiveness of web advertising.

Consanguinity constitutes one of the major health problems worldwide,

in which consanguineous marriages are associated with an increased risk for

congenital malformations and autosomal recessive diseases. Although the

advancement in modern biomedicine and forensic laboratories techniques continue

to guide scientists to move forward to unravel many life sciences secrets, it is still

ambiguous to investigate the full picture of milk kinship and its related

consanguinity. Theoretically, it is possible to see such consanguinity developed

from early sufficient breast-milk feeding. Thus, scientists should cooperate to

investigate the problem practically to find a proper solution. This review article

focuses on the alleged consanguinity that evolves from milk breastfeeding or

beyond through wet nursing or milk formula feeding. Additionally, this article

proposes the idea of removing milk genetic components to establish a new safe

genetically free formula as a promising solution.