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Background: Discharge and Billing process being the final step in the hospital experience is likely to be well remembered by the patient. Even if everything else went satisfactorily, a slow, frustrating discharge process can result in low patient satisfaction. Thus this study was carried out with the aim to ascertain the average time taken for the patient to be discharged in a tertiary care teaching hospital of Karnataka. Method: Registers were designed for the study purpose and were kept in the ward and billing office. Instructions were given to the nurses in the ward and clerical staff at the billing office about the study and entries to be made in the register. The average time taken for the whole discharge process of an individual patient was calculated using the data maintained in the registers. The statistical analysis was made to ascertain the average time taken for discharge. Appropriate tables and graphs are used for representing various findings and results. Results and Conclusion: The average time taken for the whole discharge process i.e. Intra processing time +Inter processing time of an individual patient is 2 hours 22 minutes.

Significant amounts of research and development work on Photovoltaic solar cells generate electricity by receiving sun light or solar irradiance. But solar cell received heat from solar irradiance as well and this will reduced the efficiency of the solar cell so the solution for this was by adding a cooling system (air or water) to the photovoltaic panel. Photovoltaic/thermal technology has been done. Many innovative systems and products have been introduced while evaluated product’s quality by academics and professionals. Some theoretical models also offered that experimental data have been validated their appropriateness. Important parameters in designing have known. Purpose of this paper is give review of trend to development photovoltaic/ thermal technology.

This study examined the accessibility and utilization of electronic resources by the staff of Fountain University, Osogbo, Nigeria. A total of 100 questionnaires were distributed to the staff of the university out of which 65 (65%) were completed and returned. Questionnaire was the instrument used for data collection among staff. The data was analyzed using Statistical Package for Social Sciences (SPSS). One of the findings of the study was that accessibility of electronic resources among staff in FUO was very low and this affects the use of these electronic resources. This paper discussed the strategies to increase access to subscribed electronic resources in the e-library of Fountain University Library. There is need to increase the internet facilities on campus in order to facilitate the accessibility of electronic resources to staff and the entire library users. The study discovered the factors hindering effective use of the library electronic resources to include irregular internet access culminating in slow downloading process, poor staff attitude to staff and irregular power supply. The study found out that subscription to large bandwidth, deployment of adequate internet signal, aggressive awareness, advocacy, attitudinal change of staff to use of e-resources and research development could enhance access and use of e-resources and databases. The paper recommends regular training of academic staff on how to access and use of university e-library.

This study is based on observation on court-domination; it tries to answer how the governmental organs and their staff who were not chosen by people directly should answer people. The same essay has introduced some concepts of answering, it is to examine some answering goals in the governmental centers and their different aspects. This study is to assign an example as a theoretical form in order to compare some of usual answering systems in the world. The writer, by using the same examples of answering systems in English and America which are two political (parliamentary and boss) systems and those of Pakistan and Bangladesh have explained all details. The writer hops to study the reply systems in the foresaid societies, let us know about these systems and their effects.

Pesticides are one of the most significant environmental factors that cause various metabolic and physiological dysfunctions in the male reproductive system. In the present investigation, alterations in sperm morphology, sperm count and sperm motility, as well as in the testosterone levels and histopathology of testicular cells due to endosulfan toxicity was studied. Sexually matured male Swiss albino mice (Mus musculus), weighing 30±2g, were segregated into 4 different groups with ten mice in each group. 3 groups were administered with the dose of 3mg/kg body wt per day of Endosulfan by oral gavage method for 6, 12 and 18 weeks respectively, and one group served as control. After the last treatment, the animals were sacrificed on 6th, 12th, 18th weeks and the sperm parameters were estimated. The mice testes were fixed for light microscopy study and serum testosterone levels were estimated. Endosulfan significantly decreased the sperm motility and sperm count, and there were distinct histopathological abnormalities in testicular tissue. Significant decline in the testosterone levels was also observed. Endosulfan causes deleterious effects on the spermatological parameters of Swiss albino mice,thus negatively affecting the fertility. Keywords: Endosulfan, Mus musculus, Sperm count, Sperm motility, Sperm morphology.

We propose a novel method based on artificial neural network (ANN) for beam position calculation and fault diagnosis of beam position monitors (BPM) in electron storage rings. BPM are diagnostic devices used to determine position of stored electron beam in storage rings. BPM commonly uses four button type electrodes as sensors to sense the electric field of electron beam circulating in storage ring. A mathematical polynomial of suitable degree is generally used to compute beam position from the button electrode signals of the BPM when beam excursions are large from the design orbit. The coefficients of the polynomial are derived from the bench calibration data of BPM. In the proposed new method, a neural network predicts the position of electron beam using four electrode signals of a BPM. A feed-forward network with three hidden layers using backpropagation training algorithm has been designed and trained with the bench calibration data of each BPM. The beam position predicted by the network was compared with conventional polynomial method. Neural network based method was tested on the BPM of 2.5 GeV electron synchrotron radiation source named Indus-2 at Raja Ramanna Centre for Advanced Technology, Indore, India. The root mean square (rms) error in neural network predicted beam position in horizontal plane and vertical plane was 24 and 26 microns respectively as compared with 100 and 101 microns with first polynomial and 61 and 66 microns with second polynomial in the central region of ± 5 mm on bench calibration data. The reliability of beam position measurement was assured by another neural network by doing self consistency check. In this paper we present architecture, training of neural network and improvement in beam position measurement in comparison with polynomial method.

This study seeks to assess the Impact of the Contributory Pension Scheme on employee retirement benefits of quoted firms in Nigeria. In line with this objective, the population of the study is the one hundred and eighty-two (234) firms quoted on the first- tier market of the Nigerian Stock Exchange and ten (10) quoted firms selected as sample size based on the fact that they are some of the companies that had complied with SAS 8. The study utilized data from secondary source. Data were obtained from the annual accounts and reports of the (10) quoted firms that made up the sample of the study. The time frame for the study is ten years, covering the period of 1998 to 2007. The techniques of analysis used in the study were the Student’s T-test and the qualitative grading. We concluded that even though the Contributory Pension Scheme has positive impact on employee retirement benefits of quoted firms in Nigeria, variation in application still exists among them. The study recommended an effective monitoring/supervision and enforcement of the provisions of the Pension Reform Act, 2004, in addition to effective implementation of the penalties provided by the Act on non-compliers regardless of their status or origin. The study calls on the appropriate authorities such as the government, professional accountancy bodies on academics to commission research and activities geared towards developing not only accounting policies that would ensure swift compliance with Statement of Accounting Standards (SAS 8), but strategies that would ensure optimum investments that enhance net worth and profitability of firms.

Cloud Computing involves aggregation of computing, storage and network resources into a single entity called cloud in which task is performed. Cloud computing is an evolution of the virtualization, Service-Oriented Architecture (SOA) and Utility Computing. In efficient resource management, the virtualized data center is always a practical concern and it has attracted significant attention. This allocation mechanism is desired to maximize the spaces for technical cloud providers. In this paper uses the overbooking and automatic from physical machine management to avoid resource over-provision problem according to its runtime demand. It proposes an automatic model to control the overbooking policy while it provides usages probability based on the performance and risk estimation. To cooperate with overbooking policy, it optimizes the VM placement with resource-aware strategy to satisfy application's QoS requirement. In this paper, Automated VM provisioning approach in which multiple VMs are consolidated and provisioned based on an estimate of their aggregate capacity needs. To implement cloud analytics in cloud computing in which it have reached the goal of achieves the overload avoidance and green computing concept successfully.

A seismological investigation for earthquake hazard in the Greater Accra Metropolitan Area was undertaken. The research was aimed at employing a mathematical model to estimate the seismic stress for the study area by generating a complete, unified and harmonized earthquake catalogue spanning 1615 to 2012. Seismic events were sourced from Amponsah, P., Leydecker, G. and Muff R. (2012) based on Ambraseys and Adams, (1986), Geological Survey Department (GSD), Ghana Atomic Energy Commission’s National Data Center (NDC), National Earthquake Information Service (NEIS), United States Geological Survey (USGS) and the International Seismological Centre (ISC).The least square estimation method and the maximum likelihood estimation method were employed to evaluate b-values of 0.6 and 0.9 respectively for the study area. A thematic map of epicentral intensity was developed to help relate the distribution of events with respect to the virtually fractured, jointed and sheared geology of the Greater Accra Metropolitan Area (GAMA). The results obtained are indicative of the fact that the stress level of GAMA has a telling effect on its seismicity and also the events are prevalent at fractured, jointed and sheared zones of weakness.

The proposed work gives a method of cancer diagnosis using artificial intelligence. The method involves the use of MRI images which are processed and segmented before the display of the tumor portion. The tumor portion will be having a denser background as compared to the general image; this has been set up in our algorithm. Some image enhancement and noise reductions are done to enhance the image quality, after that some morphological operations are applied to detect the tumor in the image.