A Java implementation of Coordination Rules as ECA Rules

This paper gives an insight in to the design and implementation of the coordination rules as ECA rules. The language specifications of the ECA rules were designed and the corresponding implementation of the same using JAVA as been partially done. The paper also hints about the future work in this area which deals with embedding this code in JXTA, thus enabling to form a P2P layer with JXTA as the back bone

Role of placement in determination of service quality measurement of higher education in India

In this research paper the methodological development of a new model, namely SQM-HEI (Service Quality Measurement in Higher Education in India) for the measurement of service quality in higher educational institutions is developed. Three dimensions are arrived namely Teaching Methodology(TM), Environmental Change in Study Factor (ECSF) and Disciplinary Action(DA). The Placement is considered as the mediating factor for the outcome of education. For conducting an empirical study, data were collected from final year students of higher educational institutions across Tamilnadu. 1600 valid questionnaires were used for the analysis. The SQM-HEI captures the authentic determinants of service quality within the higher education sector. The developed 30-item instrument has been empirically tested with AMOS 7.0. The developed model is tested for Structural Equation Model and Bayesian estimation and testing. The SEM model output reveals that the RMSEA=0.049, GFI= 0.987 and NFI = 0.928. all the fit indices concludes the best fit of the model. The results from the current study are crucial because previous studies have produced scales that bear a resemblance to the generic measures of service quality, which may not be totally adequate to assess the perceived quality in higher education.SQM-HEI, Service Quality, Higher Education, India

Optimizing the stake holder’s perspective on enhancing the service quality in health care

For the success of health care organizations, accurate measurement of health care service quality is as important as understanding the nature of the service delivery system. Without a valid measure, it would be difficult to establish and implement appropriate tactics or strategies for service quality management. Experts have struggled for decades to formulate a concise, meaningful and generally applicable definition of the quality of health care. However, the complexity and variability of many definitions are very confusing even to experts. Patients, service providers and other parties involved in the process of health care service delivery, understand and describe service quality in different ways. Different perspectives on health care quality lead to different expectations and different methods of quality measurement. Patients tend to evaluate health care quality according to the responsiveness to their specific needs. Most patients define quality as efforts of physicians to do everything possible for a patient. Patient’s expectations about the health care system may differ from those of health care professionals and managers. On the other hand, patients cannot evaluate many technical aspects of health care service quality. Physicians can provide a high level technical quality but still be rated low by patients because of the lack of humanity, responsiveness or satisfaction. For physicians and other health care providers measurement of service quality has typically been driven by medical outcomes. However, outcomes indicative of quality may differ for a patient and physician. Health care administrators often use managerial input measures such as the average number of nursing hours required for an outpatient surgery. This research paper aims to explore the ways and means towards optimizing the competing stake holders perspectives on enhancing the service quality in health care.Service quality; Healthcare; Optimization; India;

Liouville numbers, Liouville sets and Liouville fields

Following earlier work by E.Maillet 100 years ago, we introduce the definition of a Liouville set, which extends the definition of a Liouville number. We also define a Liouville field, which is a field generated by a Liouville set. Any Liouville number belongs to a Liouville set S having the power of continuum and such that the union of S with the rational number field is a Liouville field.Comment: Proceedings of the American Mathematical Society, to appea

Liouville Numbers and Schanuel's Conjecture

In this paper, using an argument of P. Erdos, K. Alniacik and E. Saias, we extend earlier results on Liouville numbers, due to P. Erdos, G.J. Rieger, W. Schwarz, K. Alniacik, E. Saias, E.B. Burger. We also produce new results of algebraic independence related with Liouville numbers and Schanuel's Conjecture, in the framework of G delta-subsets.Comment: Archiv der Math., to appea

Mind mapping management

A mind map is a diagram used to represent words, ideas, tasks, or other items linked to and arranged around a central key word or idea. Mind maps are used to generate, visualize, structure, and classify ideas, and as an aid to studying and organizing information, solving problems, making decisions, and writing. The fundamentals of mind map are arranged naturally according to the importance of the concepts, and are classified into groupings, branches, or areas, with the goal of representing semantic or other connections between portions of information. Mind maps may also aid recall of existing memories. The ideas are documented in a mind map radiate from the center of diagram, similar the branches or root system of a tree. The colors are important because they provide an extra dimension of information to help your brain interpret the data more effectively. The mind mapping technique can be used as a authoritative, creative and dynamic way to administer projects, structure and classify multifaceted information, and provide motivating reports that grasp people’s attention. By minimizing words and focusing on associations, mind maps allow project managers and team members to rapidly see dependencies and problems, saving time and money. Using mind maps can notably improve a project team’s productivity.Mind mapping management