PEER-REVIEWING, FEEDBACK & ASSESSMENT IN ENGINEERING TEACHING

Presentatio

Orbital MALT Lymphoma: A Case Report

A case of orbital MALT (mucous associated lymphoid tissue) lymphoma is reported for its rarity. It presented as a large tumor obscuring the whole eye with loss of vision, without any signs of dissemination and remained free of recurrence or metastasis 12 months after undergoing simple surgical excision

A critical review of fundamental principles of Ayurveda

The fundamental principle holds a strong ground in Ayurveda. Every medical stream has its own science in which its matter is developed, evolved and explained. From creation of living to issues of health, disease and its treatment these fundamental principles are the root. These can be enumerated as Tridosha, Panchamahabhuta, Prakriti, Ojas, Dhatu, Mala, Agni, Manas, Atma etc. They are most unique and original approach to the material creation and it has all scope to incorporate the modern development in the elemental physics. The aim of Ayurveda is to maintain the proper equilibrium of dosa, dhatus, and mala constituent in order to preserve health in a healthy person and cure a disease in a diseased person.The presence of cognition as well as the absence of cognition is an indication of the mind. In the presence of senses with senses object and soul the man does not perceive a thing in the absence of mind that is to say that senses are unable to grasp the object in the absence of Manas. The term Ojas has been used in Ayurveda for the factor which prevents decay and degeneratioif the body and provides strength and support against a disease. Concept of Agni which incorporates all activities and factors responsible for digestion and metabolism in the living organism as known today, knowledge to these fundamental principles is a key to health and diseases .Maintenances of health depend on good and sound knowledge of these. Detail will be given in full paper. Keywords: Ayurveda, health, dosa, Agni, min

EFFECT OF LENGTH OF STAY ON GUEST SATISFACTION-AN EMPIRICAL STUDY OF INDIAN HOTEL INDUSTRY

The unpredictable and dynamic changes experienced by the corporate world have transformed the business environment. Now the key for remaining successful is in retaining customers rather than in acquiring customers. Customer satisfaction is considered the essence of success in today's highly competitive world of business, and it has become the corporate goal as more and more companies strive for quality in their product. The purpose of this article is to examine the influence of ‘length of stay’of a guest in a hotel, on satisfaction, revisit intention and making favorable referrals. This paper considers the reaction of ‘international travelers’ who have boarded their flight from Chennai, India. Outcome of this research indicates that one of the critical challenges faced by the hoteliers is to create opportunities to their guests to experience (all) the facilities available in the hotel, especially for those who stay for a shorter period. Results shows that length of stay positively influences the satisfaction level but not revisit attitude and positive referrals. However satisfied guests tends to revisit the same hotel in future and likely to refer to their friends and relatives.’ Satisfaction is the nucleus and everything revolves around it and duration of stay is one of the major determinants of hotel factors which is a major predictor of satisfactionHotel industry, Guest satisfaction, Length of stay, purpose of visit, revisit, recommendation

EXPLOITING N-GRAM IMPORTANCE AND ADDITIONAL KNOWEDGE BASED ON WIKIPEDIA FOR IMPROVEMENTS IN GAAC BASED DOCUMENT CLUSTERING

This paper provides a solution to the issue: “How can we use Wikipedia based concepts in document\ud clustering with lesser human involvement, accompanied by effective improvements in result?” In the\ud devised system, we propose a method to exploit the importance of N-grams in a document and use\ud Wikipedia based additional knowledge for GAAC based document clustering. The importance of N-grams\ud in a document depends on several features including, but not limited to: frequency, position of their\ud occurrence in a sentence and the position of the sentence in which they occur, in the document. First, we\ud introduce a new similarity measure, which takes the weighted N-gram importance into account, in the\ud calculation of similarity measure while performing document clustering. As a result, the chances of topical similarity in clustering are improved. Second, we use Wikipedia as an additional knowledge base both, to remove noisy entries from the extracted N-grams and to reduce the information gap between N-grams that are conceptually-related, which do not have a match owing to differences in writing scheme or strategies. Our experimental results on the publicly available text dataset clearly show that our devised system has a significant improvement in performance over bag-of-words based state-of-the-art systems in this area