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Occupational stress is considered to be a main health problem for both individuals and organizations. This study has investigated the measurement of occupational stress among Management Information Systems (MIS) Users in different banks in the Kingdom of Bahrain. Furthermore, to identify their high job stressor factors and increase understanding of the impact of individuals differences in occupational stress. A descriptive, cross sectional survey was performed in five banks. Using quota sampling, MIS users’ from different divisions were asked to complete questionnaires- including demographic data, job stress and stressor factors. Six main stress factors were identified among MIS users banker staff: 1) intrinsic work characteristics (job design); 2) work culture and function; 3) managerial role; 4) career development; 5) relationships at work and 6) home-work interface. A total of 250 self-administrated questionnaires were distributed (hand delivery) to the banks divisions. The overall response rate was 80.8% (202/250) and the result suggested that over a third of MIS users in banks reported that their jobs were highly stressful. The bankers are exposed to high job stressors such as job design (overload, long working hours, deadlines and time pressure, repetitive task and lack of variety, and shortages of staff); and career development (under promotion and working at a level below their level of abilities and skills). However, the result of this research can be applied for improving sources of occupational stress and further, precluding severe stress and concern was expressed that such findings should be considered when delivering stress management programs.
Bank managements are interested in determining the rate of liquidity based on a strategy for meeting this need. Lack of sufficient liquidity might impose heavy costs and even lead to bankruptcy. On the other hand, surplus liquidity will result in losing investment opportunities and reduction in productivity and profit ability of banks. In this research, efforts are taken to use the most affecting factors by investigation on important factors effective on the liquidity rate. The data used are chosen from 573 real values of banking operations. The variables are NEII 1 , RTGS 2 and clear transaction and the outcome of these variables is bank liquidity. In this research, two methods of ARIMA and multiple regressions are applied for predicting the future liquidity data and two mathematical models are introduced. The model introduced can predict liquidity rate based on two years data effectively. The results showed that the mean deviations between output of model
Even a small transition delays and little faults create major concern in digital circuits. It Produce greater impact on not only for simple memory but also for most of the memory applications. This paper presents an error-detection method for difference-set cyclic codes with majority logic decoding. Majority logic decodable codes are suitable for memory applications due to their capability to correct a large number of errors. However, they require a large decoding time that impacts memory performance. The proposed fault-detection method significantly reduces memory access time when there is no error in the data read. The technique uses the majority logic decoder itself to detect failures, which makes the area overhead minimal and keeps the extra power consumption low. The proposed method detects the occurrences of single error, double error ,triple error in the received code words obtained from the memory system.
Agriculture is an economic activity that manifests the complex relationship between natural and human resources. The growth of agriculture is prerequisite for overall development of Indian economy. It contributes significantly to the export earnings and affects the performance of other sectors of the economy through forward and backward linkages. The present paper analysis disparities in agricultural development in Aligarh district at block level during the period of 2011-12. The analysis of the study have been carried out by transforming and combining data related to various variable, (percentage of literate people to total population, percentage of agricultural workers to total workers, percentage of net sown area to total geographical area, fertilizers consumption in kg per hectare, percentage of net irrigated area to net sown area, percentage of canal irrigation to the net irrigated area, percentage of tube well irrigation to the net irrigated area, number of agricul
Mobile Ad hoc Network (MANETs) is an infrastructure – less network which is created by deploying the mobile nodes carrying wireless devices, able to route the data through multi hop fashion. MANETs uses distributed routing approach. In this paper, analysis of different classification of routing protocols such as: Reactive (AODV, DSR) Proactive (DSDV) and Hybrid protocols ZRP (Zone Routing Protocols) has been done using NS2 simulator. The above work analysis has been done on the following QoS parameters such as: Packet Delivery Ratio, Average Throughput, Routing Overhead and Average Delay
Exact Data sources consumer data from national database with approximately 210 million names, postal addresses, and telephone numbers, with approximately 700 selects, originating from over 2,000 different sources. Exact Data overlays its permission compliant, opt-in email address database from over 100 sources on that national database, to make what we believe is the best, most accurate and up to date multi-channel consumer database on the market. The database is compared to the USPS National Change of Address file every 60-days, and updated as necessary. And 15 to 20 million new email addresses are acquired each month, a rigorous, proprietary hygiene process is performed, and approximately 10%, or 1.5 to 2.0 million new email addresses, are appended to the national database.
The topic of the conference is big data and analytics - details of the event is listed on the website – the website will be used to attract potential delegates, sponsors speakers from all around GCC I.e. United Arab emirates, Qatar, Saudi Arabia, Kuwait, Bahrain, Oman, and internationally especially Europe and USA
Blue Mail Media's Data Appending Service repairs by updating all missing data and contacts of the clients to improve opportunities for direct campaigns
Fallopian tube damage is a common cause of infertility and tubal ectopic pregnancy. A fallopian tube blockage typically prevents successful passage of the egg to the sperm, or the fertilized egg to the uterus. Causes of tubal infertility include Endometriosis, Pelvic Inflammatory Disease (PID) and scar tissue, adhesions and damaged tube ends (fimbria). Treatment options are IVF (in vitro fertilization) or tubal surgery. Tubal disease is diagnosed by sonohysterogram, hysterosalpingogram and laparoscopy. Start creating your family by contacting today Rupal Hospital for Women and Know today about your options for having a baby using IVF & assisted reproductive technology. You can contact our fertility and IVF specialist at http://www.rupalhospital.com or http://rupalhospital.wordpress.com or simply call on +91-2612599128 or email at email@example.com
The wavelet transform is widely used in image processing algorithms. In this paper two different wavelet compression techniques are applied on the image. The compression is performed using EZW and SPIHT wavelet based compression techniques. In compression, wavelets have presented a good flexibility to a wide range of data, while being of reasonable complexity. These techniques are more efficient and provide a better quality in the image. The techniques are compared by using the performance parameters Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Compression Ratio (CR) and Bit rate (BR) at different threshold. In the end the conclusion is observed to know which technique is better for image compression. It is observed that compression ratio for SPIHT is better as compared to compression ratio of EZW.