Organizational Context and Client-Server Architecture: A Proposed Research Strategy

The unification of information systems (IS) resources regardless of the degree of heterogeneity and the location is a critical issue for IS management. Client-server systems (CSS) is making significant contribution to this enterprise computing. The problem facing many managers is that at present there is no one approach to determine how to leverage theCSS power to information technology (IT). The purpose of the proposed research is to investigate the relationship between two topical domains, organizational context and client-server systems architecture (CSSA). The specific objective of this research is to identify the problems organizations face in CSS environment and study the relationship between the CSS elements and organizational element

વર્ષા અડાલજાની નવલકથાઓ - એક અધ્યયન

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Dataretrieving for varied in different Composition Databases using Content aggregation

Keeping in mind with a variety of content choices, consumers are exhibiting diverse preferences for content; their preferences often depend on the context in which they consume content as well as various exogenous events. To satisfy the consumers� demand for such diverse content, multimedia content aggregators (CAs) haveemerged which gather content from numerous multimedia sources. A key challenge for such systems is to accurately predict whattype of content each of its consumers prefers in a certain context,and adapt these predictions to the evolving consumers preferences, contexts, and content characteristics This paper addressesgenerate text based file data sets, such as word, text files, image file data sets, and video file data sets, It also extract data from multiple databases, evaluate user preference based query, reduce time complexity by clustering data, and increase fetching speed by using query classification

Cancer awareness among females of urban slums in their reproductive age group

Background: Cancer is major public health problem affecting millions of people worldwide. The prevalence of cancer is increasing in developing world due to increase in life expectancy, increased urbanization and adoption of western life styles. Thus, the present study was carried out to assess the extent of awareness towards cancer among women of urban slums in their reproductive age group. Methods:Community based cross sectional study was carried outby interviewing women of reproductive age group residing in urban slums using pre-designed and pre-tested proforma to assess awareness towards cancer. Descriptive statistics was applied to assess the awareness level and the association between two attributes was calculated bychi-square test. Results: A total of 182 women were interviewed. Out of which 39.56% were in 20-24 years age group. 46.15% were housewives and most of them belonged to middle class families. Though the knowledge regarding cancer, especially about modes of transmission, symptoms and laboratory diagnosis was found satisfactory but was accompanied by misconceptions. 71.43% women were aware about its prevention, mostly by changing life styles and by getting screening done at regular intervals. Conclusion: Thus, impetus has to be laid upon screening regarding cancer during reproductive age group and enlightenment of the women about cancer screening centres available at the hospitals, so as to heighten the knowledge of facilities for a better reproductive life

Implications of social media use on instruction and student learning: An exploratory study

In this paper we explore the use of social media on the content delivery aspects of instruction and potential impacts on student learning. It is our conjecture that impacts of social media use might depend on factors such as the interface of particular medium and learning style, teaching style and instructor skill, and the demographics of students and their instructors. We propose a framework that links instructor to students through social media. That is, social media becomes a channel though which learning occurs. Classifying multimedia technology as tools and social media as interactive Web 2.0 Internet-based applications, we employ case studies in developing the framework and we follow up with a discussion of potential implications of social media applications in academia

ENV-612: A NOVEL SLUDGE-BED ANAEROBIC MEMBRANE BIOREACTOR FOR SUSTAINABLE TREATMENT OF INDUSTRIAL WASTEWATER

Dissolving pulp mill wastewater called prehydrolysis liquor (PHL) obtained from steam (at 150-1700C) treatment of wood had a total chemical oxygen demand (COD) of approximately 100 g/L contains mainly sugars, furfural, lignin, and acetic acid, poses a considerable wastewater disposal problem. Replacement of the current energy intensive disposal method (evaporation and use of recovery boiler) is a requirement of dissolving pulp industry. The bioreactors were fed with PHL at organic loading rates (OLR) ranging from 0.8 to 5 kg-COD/m3-d to study the performance with respect to the COD removal, methane (bio-energy) production, effluent characteristics, and membrane fouling. Average COD removal of 91% and specific methane yield of 0.36 m3/kg-CODremoved/day were achieved during the pseudo-steady period of the continuous mesophilic operation at each loading rate. Whereas, in thermophilic conditions, a methane yield of 0.38 m3/kg-CODremoved/day was observed. There was no sugar and furfural found in the effluent of the SB-AnMBR at both temperatures (350C and 550C) during the pseudo-steady period. High effluent COD can be attributed to lignin in the effluent (0.2 to 1.6 g/L). Flat-sheet membranes used in the SB-AnMBRs did not show significant fouling based on monitoring of temporal variations in the trans-membrane pressure at a sustained flux of 0.1 m3/m2/d during the 550 days of the continuous operation

An Instrument to Assess Client-Server Architecture in an Organizational Setting

This study reports the final results of a delphi panel procedure used to develop an instrument to assess the client-server system architecture in an organization. At present there is no formal instrument that allows an information systems manager to assess an existing CSS architecture. A delphi panel was used to develop a formal instrument for CSS assessment

Escalation Of Commitment In MIS Projects: A Meta-Analysis

Escalation of commitment emerged as a major explanation for the propensity of management information systems projects to exceed time and budget constraints. Earlier studies demonstrated that escalation in MIS is a common event.  This study presents a meta-analysis of the various theories of escalation that allows for integration of the various escalation factors into a model of irrational escalation and a model of rational escalation. The implications of rational and irrational escalation for the decision making in management of information systems are discussed

Diversity Maximization Under Matroid Constraints

Aggregator websites typically present documents in the form of representative clusters. In order for users to get a broader perspective,it is important to deliver a diversified set of representative documents in those clusters. One approach to diversification is to maximize the average dissimilarity among documents. Another way to capture diversity is to avoid showing several documents from the same category (e.g. from the same news channel). We model the latter approach as a (partition) matroid constraint, and study diversity maximization problems under matroid constraints. We present the first constant-factor approximation algorithm for this problem,using a new technique. Our local search 0:5-approximation algorithm is also the first constant-factor approximation for the maxdispersion problem under matroid constraints. Our combinatorial proof technique for maximizing diversity under matroid constraints uses the existence of a family of Latin squares which may also be of independent interest. In order to apply these diversity maximization algorithms in the context of aggregator websites and as a preprocessing step for our diversity maximization tool, we develop greedy clustering algorithms that maximize weighted coverage of a predefined set of topics. Our algorithms are based on computing a set of cluster centers, where clusters are formed around them. We show the better performance of our algorithms for diversity and coverage maximization by running experiments on real (Twitter) and synthetic data in the context of real-time search over micro-posts. Finally we perform a user study validating our algorithms and diversity metrics