Field experiment were conducted in Ariyalur District, Tamil Nadu, India to study the effect of plant geometry, planting method, along with intercropping and nutrient management practices in sugarcane var. Co 86032. The experiment was conducted in spilt plot design and replicated thrice. The main plot consists of eight treatments of different spacing, setts placement, intercropping and their combinations. The sub plot treatments consist of four different nutrient management practices namely, recommended dose of fertilizer (100 %) alone and in combination with Acetobacter and micronutrient mixture (1 %) foliar spray. In main plots, 120 cm row spacing with cross planting method + successive intercropping with blackgram followed by in situ incorporation of sunnhemp recorded higher single cane weight of 1.50 kg, cane yield of 148.90 t ha -1 and sugar yield of 17.28 t ha -1 . The least cane yield was recorded in 80 cm row spacing with cross planting method. The sub plot treatment with recommended dose of fertilizer along with Acetobacter @ 10 kg ha -1 and foliar spraying of 1 % micronutrient mixture at 45 and 75 DAP recorded higher single cane weight (1.41kg), cane yield (141.97 t ha -1) and sugar yield (16.62 t ha -1 ). The least cane yield was recorded in recommended dose of fertilizer alone.

The impact of quality is measured through various standards in higher educational institutions of India. These standards are evaluated by the higher educational institutions by self evaluation at different levels and it is also assessed by external agencies. Application of different administrative practices have been associated with the quality of higher education. There is lack of quality because all the policies and standards are adopted to the maximum the process of quality achieved is not adequate and permanent. Eventhough accreditation provides quality assurance that the academic aims and objectives of the institution are honestly pursued and effectively achieved by the resources available, and the institutions may demonstrate the capabilities of ensuring effectiveness of the educational standards during the validity period, the lack of quality is estimated using structural equation modeling technique. In this paper Impact of quality of some important administrative practices called quality standards such as vision and mission, leadership and governance, faculty recruitment and qualification, infrastructural facility and curriculum adopted and how it is applied is evaluated using SEM model.

Quality standards are evaluated by the Higher Educational Institutions by self evaluation at different levels and are also assessed by external agencies. Application of quality standards in administrative practices have been associated with the quality of higher education. To improve the quality of administrative practices, evaluation scales are applied and the outcomes in terms of Quality perceived by the students and the higher level of satisfaction is evaluated. It is observed that the quality of ımplementation of standards and administrative practices adopted in various institutions needs care and consideration. There is lack of quality because all the policies and standards are adopted to the maximum in terms of mission and vision and the process of quality achieved is not adequate and permanent. Even-though accreditation provides quality assurance that the academic aims and objectives of the institution are honestly pursued and effectively achieved by the resources available, and the institutions may demonstrate the capabilities of ensuring effectiveness of the educational standards during the validity period, the lack of quality in terms of satisfactory level of students is observed in appropriate scales. In this paper findings of quality are evaluated using the same common factors used by accreditation.

BACKGROUND: The development of Occupational Safety and Health Management System in textile industry will rejuvenate the workers and energize the economy as a whole. In India, especially in Tamil Nadu, approximately 1371 textile business is running with the help of 38,461 workers under Ginning, Spinning, Weaving, Garment and Dyeing sectors. Textile industry of contributes to the growth of Indian economy but it fails to foster education and health as key components of human development and help new democracies. PURPOSE: The present work attempts to measure and develop OSHMS which reduce the hazards and risk involved in textile industry. Among all other industries textile industry is affected by enormous hazards and risk because of negligence by management and Government. It is evident that managements are not abiding by law when an accident has occurred. Managements are easily deceiving workers and least bothered about the Quality of Work Life (QWL). METHODOLOGY: A detailed analysis of factors promoting safety and health to the workers has been done by performing confirmatory factor analysis, evaluating Risk Priority Number and the framework of OHMS has been conceptualized using Structural Equation Model. The data have been collected using questionnaire and interview method. RESULT: The study finds occupation health for worker in Textile industry is affected not only by safety measure but also by technology and management. CONCLUSION: The work shows that difficulty in identifying the cause and effect of hazards, the influence of management in controlling and promoting OSHMS under various dimensions. One startling fact is existence of very low and insignificance correlation between health factors and outcome.

BACKGROUND: HMIS will incorporate a paradigm shift in health such as removing manual records and transformation of data through the complex structure of health departments in Tamilnadu. Thus developing a model of technology acceptance in HMIS contest is important and necessary in order to promote usage of the HMIS in rural health care system. OBJECTIVE: The papers purpose is to formulate a model of technology acceptance of Health Management Information System (HMIS) by generating and validating a research model that best describes rural health care workers usage behavior and behavior intention. METHODS: This research proposes a theoretical framework which is comprised of key determinants that influence usage behavior of HMIS together with moderator. It has been tested through different parametric test and confirmatory factor analysis. RESULTS: Data analysis shows that health workers innovativeness and voluntariness have a direct and positive influence on Technology Acceptance level and that the basic TAM hypotheses are fulfilled. HMIS usage behavior and behavior intention can be increased with factors that are effecting the successful implementation of HMIS when it remains high. CONCLUSIONS: This research enables health departments to know which aspects of their HMIS components and variables to improve. This shows that HMIS usage and health workers/staffs acceptance level are key tools in the success of HMIS. This research has seemed to be done at the right time and in the right place to the best of its kind. Development of model for assessing the acceptance level of users a paradigm shift in health removing manual records and transferring it into electronic information, standardization of health system and process, real time monitoring of hospitals performance, development of good communication and transformation of data through the complex structure of health departments in Tamilnadu.Health Industry has a significant role in Information System field, even though health industry has not yet received much attention in IS research, and the one of the important area of research in Information System is Technology acceptance. If IS theory is to diffuse more broadly [13], more attention to industry in theory development is needed. Many theories and models have been developed mostly in the U.S. Some of the most well-known theories/models were Technology Acceptance Model (TAM), TAM2, Innovations Diffusion Theory, Social Cognitive theory, Theory of reasoned action, Theory of planned behavior etc. Most of these theories of IS research has concentrated on a small subset of industries. Research findings from these industries cannot be generalized to other settings unless we assume that "nature is uniform" [10], that is unless we assume that differences among industries do not affect the applicability of IT knowledge and theory.In addition, there are some inconsistencies in the key determinants and moderators of technology acceptance, as to whether there are only determinants such as Perceived ease of use, Perceived ease of...