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The study focuses on work family conflict of expatriates. Extending the prior work on work family conflict, applying role theory and conservation of resource theory, the paper presents a theoretical framework regarding situations and conditions specifically related to expatriates that can contribute to their work family conflict as prior work on expatriates is scarce in this particular research domain. It investigates the influence that issues like role novelty, cultural novelty, spousal adjustment, and education facilities may have on the work family conflict of expatriates. The study also postulates the probable moderating role of personality traits in the relationship between these issues and work family conflict being experienced by expatriates.

Cardiovascular dysautonomy is a disturbance of the sympathico-vagal balance in the control of the cardiovascular system. The primary objective of this study was to describe the autonomic profile of chronic hemodialysis patients (CHD). This is a cross-sectional observational study, including 22 patients from the hemodialysis (HD) center of the Ibn Sina University Hospital in Rabat. We observed the different cardiac and nephrological characteristics of the patients; Carried out a study of the autonomic nervous system (ANS) by non-invasive methods and established the autonomic profile of the patients. Dysregulation of the cardiovascular autonomic nervous system was found in 72.7% of patients; Vagal disability was the most pronounced autonomic disorder in 63.6%, followed by central (54.6%) and peripheral (50.0%) sympathetic hyperactivity. In multivariate analysis, only the female sex (p = 0.042) was an independent risk factor for vagal disability; On the other hand, the HD quality was a protective factor (r: -0.56, p =0,021). Intradialysis hypotension and hypertension appear to be respectively related to decreased baroreceptor sensitivity and sympathetic alpha hyperactivity. The underlying mechanisms of this involvement require further studies before treatment strategies can be developed.

The paper presents a system developed for recognizing gestures of Indian sign language from images of gestures. The proposed system is based on Discrete Cosine Transform (DCT) and neural networks used for gesture pattern recognition. Unlike the systems proposed by other researchers such as using a radio frequency or colored gloves to achieve the recognition our system does not impose any such constraints. Features are extracted from the images using DCT which greatly reduces the size of the feature vector. Neural networks error back propagation algorithm is used to recognize gestures of alphabets of English language. The system was implemented with 130 sample images of gestures of alphanumeric characters with a maximum of 5 images per gesture. Experimental results show that the neural network is able to recognize gestures with an accuracy of 99.52%.

The objective of the study was to find out adolescent the knowledge and use of contraceptives in Sekondi Takoradi Metropolis. Three hundred adolescent male and female students were randomly selected from three senior high schools in the metropolis to constitute the sample for the study. The questionnaire were used to collect data. Frequency distribution and percentages were used to summarize the data. The findings from the study indicated that adolescents have much knowledge about contraceptives but a few use them. They are familiar with condoms and femidom: most of them because they are easy to use. However, parents, guardians and church members disapprove of the use of contraceptives. The researcher recommended that there should be guidance and counseling programmes in the school to counsel the adolescent students on issues concerning their reproductive health and the use of contraceptives to prevent unwanted pregnancy, sexually transmitted diseases and HIV/AIDS.

Data worldwide is growing 40 percent per year, a rate of growth that is daunting for any organization. Big Data Analytics is becoming an increasingly important part of every aspect, batch processing system like Hadoop had evolved for excellent offline data processing platform for Big Data. There are many use cases across various domains which require real-time / near real-time response on Big Data for faster decision making. This paper describes beyond batch processing system towards Real-Time and Streaming.

Jhansi is well known district of Bundelkhand region of Uttar Pradesh with a geographical area of 502.75 thousand hectares. The population of the city is near about 4 lack for the last two decades due to mismanagement of traffic systems and mushrooming of vehicles chock most of the street and road of the city which lead to significant increase in air pollutants. In the present study, ambient air quality was monitored by high volume sampler in Jhansi city of central India. The six sampling sites were classified in different zones i.e. commercial, residential and sensitive and important ambient air quality parameters (RSPM, SOx and NOx) were monitored on hourly basis from January to June 2014. The results revealed that the concentration of the SO2, NO2 and RSPM from all sampling sites were ranged between 9.4 to 12.7 µg/m3, 20.5 to 34 µg/m3, 258.7 to 273 µg/m3 respectively. All the parameters (SO2, and NO2) were found below the permissible limits of NAAQS (National Ambient Air Quality Standard) except RSPM in the study sites.

Due to the wide acceptability of the industry for cloud computing, variety of applications are designed targeting to cloud platform which makes efficient load balancing a major bottleneck for the above. To improve the efficiency of the cloud platform, a judicial distribution of workload among the available resources needs to be ensured. To share the workload in an effective way, a proper load balancing strategy is important. This strategy comprises of information policy, triggering policy, resource type policy and selection policy. Since cloud applications are running in a distributed scenario, through this paper, researcher suggests a selection policy for load balancer in a distributed environment.

Many of people read fiction for joy, but a few of them float particularly to works about the past. People have enjoyed historical fiction since 800 BC, when Homer wrote about the Trojan War in the Iliad. The words to which historical fiction carries us may seem utterly different from our own - but they really existed. A deep understanding of the past can help us understand our own time and our own motivations better. And by blending history and fiction, a novel lets us do more than simply read history: it lets us participate in the hopes, fears, passions, mistakes and triumphs of the people who lived it. (“People read fiction for joy,” 2015).History and literature have always found proximity with each other, until it got separated after Rankean positivist research methodology for history in 19th century. But after the coming of postmodernism by 1960s and its formal introduction by 1980s, history and literature have started working hand in hand again, with new development in the form of historical novels. Many of the postmodernist literature refer historical documents, re-reading the sources in order to develop theories and stories around the facts, giving birth to multiple theories to attract readers as well as to make subjectivity feasible in reading the text, unlike what was postulated by Ranke.

The aim of this paper is to examine the anomalous variations of the critical frequency (foF2), Total Electron content (TEC) and foEs parameters before earthquake occurred on 01 April 2014 Iquique Chile (M=8.2) and on 25 October 2013 Japan(M=7.1). Using the Correlation technique we analyzed the foF2, TEC and foEs parameters. A sudden drop in cross correlation coefficient of foF2 observed 02 days before, drop for TEC observed 12 days before and drop for foEs parameter observed 03 days before Chile event While drop in correlation coefficients for foF2 and foEs were observed 05 days and 01 day before Japan event.

The antibacterial properties of picolinic acid was tested against selected test organisms which includes serratia marcescens, micrococcus luteus, proteus vulgaris, proteus mirabilis, bacillus cereus, bacillus subtilis, klebsiella pneumoniae, escherichia coli, shigella flexneri, lactococcus lactis, enterobacter cloacae, staphylococcus aureus. The results obtained established that picolinic acid has antibacterial activities against S. marcescens, K. pneumoniae, E. coli, S. flexneri, B .cereus, P. vulgaris, M . luteus with minimum inhibitory concentration of 0.5mg/mL. It also had great antibacterial activity against P. mirabilis at minimum inhibitory concentration of 1.5mg/L. Picolinic acid evoked a strong antibacterial activities against B. subtilis, S.aureus and L. lactis at minimum inhibitory concentration of 2.0mg/mL and against E . cloacace at minimum inhibitory concentration of 1.0mg/mL. The diameter of zones of inhibition ranges between 7.0mm and 14.0mm.