964 resultados para Academic Science


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Today higher education system and R&D in science & Technology has undergone tremendous changes from the traditional class room learning system and scholarly communication. Huge volume of Academic output and scientific communications are coming in electronic format. Knowledge management is a key challenge in the current century .Due to the advancement of ICT, Open access movement, Scholarly communications, Institutional repositories, ontology, semantic web, web 2.0 etc has revolutionized knowledge transactions and knowledge management in the field of science & technology. Today higher education has moved into a stage where competitive advantage is gained not just through access of infonnation but more importantly from new Knowledge creations.This paper examines the role of institutional repository in knowledge transactions in current scenario of Higher education.

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Marketing of information services is now an important goal of librarians all over the ~orld t? attract mor~ users to the libr~ry. thereby promoting user satisfaction. Marketing IS considered ~s ~n Integr~1 part of libraries and information centres mainly due to the developments In information t.echnology, information explosion, and declining library budgets. Kotler defines marketing as the "analysis, planning, implementation and control o~ carefully formulated programs designed to bring about voluntary exchanges of values WIth target markets fo~ the ~~rpos~ of~chievingorganizational objectives". Organizations suc.h as museums, unrversittes, libraries, and charities need to market their causes and their products to gain. political and social support as well as economic support (Kotler, 1995). In the marketing world people are now migrating from the traditional Four P ~lodelto th~ S~VE mode! (Alt~ns~n, 2013). According to the SAVE model, marketing III an orgarusanon must grve pnonty to 'Solutions' instead of the features or functions of~he.'Product" Similarily it is to focus on 'Access', instead of ,Place'; 'Value' instead of Price" so that the benefits are more stressed, rather than production costs. Instead of :Proliloti.on', marketi~g has. to conc~ntrate on 'Educating' the customers, providing lJlfo~mahol~ about t~eJr specific req~lrements, instead of relying on advertising, public rel~tlons, direct selling etc. From a library point ofview, to ensure maximum utilization of library ~ervices there is an increasing need for definite marketing plans to exploit the techn.ologlcal dcvelop",len~s so ~s to entice the users. By anticipating their changing needs and ~y co.mmulllcatl~g WIth them it should be possible to devise strategies to present various library services and products in a perceptive style.

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The library professional in an academic institution has to anticipate the changing expectations of the users, and be flexible in adopting new skills and levels of awareness. Technology has drastically changed the way librarians define themselves and the way they think about their profession and the institutions they serve. In addition to the technical and professional skills, commitment to user centred services and skills for effective oral and written communication; they must have other skills, including business and management, teaching, leadership, etc. Eventually, library and information professionals in academic libraries need to update their knowledge and skills in Information and Communication Technology (ICT) as they play the role of key success factor in enabling the library to perform its role as an information support system for the society.

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Development of new technologies in the field of library and information science especially in academic libraries has resulted in the need for library staff to be flexible in adopting new skills and levels of awareness. In addition to core technology skills, importance is to be given to other skills in communication, management, etc. This paper attempts to describe in brief the competencies and skills required for an academic library professional in the digital era .

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The development of computer and network technology is changing the education scenario and transforming the teaching and learning process from the traditional physical environment to the digital environment. It is now possible to access vast amount of information online and enable one to one communication without the confines of place or time. While E-learning and teaching is unlikely to replace face-to-face training and education it is becoming an additional delivery method, providing new learning opportunities to many users. It is also causing an impact on library services as the increased use of ICT and web based learning technologies have paved the way for providing new ICT based services and resources to the users. Online learning has a crucial role in user education, information literacy programmes and in training the library professionals. It can help students become active learners, and libraries will have to play a greater role in this process of transformation. The significance of libraries within an institution has improved due to the fact that academic libraries and information services are now responsible for e-learning within their organization.

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The purpose of this paper is to examine the information-seeking behavior of science and social science research scholars, including service effectiveness, satisfaction level on different type of sources and various methods adopted by the scholars for keeping up to dateData were gathered using a questionnaire survey of 200, randomly selected, PhD students of science and social science departments of four universities in Kerala, IndiaAlthough similarities exist between social science and science PhD students with regard to information-seeking behavior, there are significant differences as well. There is a significant difference between science and social science scholars on the perception of the adequacy of print journals and database collection which are very relevant to the research purposes. There is no significant difference between science and social science scholars on the perception of the adequacy of e-journals, the most used source for keeping up to date. The study proved that scholars of both the fields are dissatisfied with the effectiveness of the library in keeping them up to date with latest developments

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The paper aims to bring out the problems and prospects of the professional development opportunities of academic library professionals in the Universities in Kerala. The study is a part of research undertaken to survey the professional development activities and educational needs of library professionals in the major Universities of Kerala because of the developments in Information communication technology. The study recommends methods for improving the knowledge/skills of library professionals. The aim of the study is to evaluate the professional development activities of Library professionals and their attitude towards continuing education programmes. In order to achieve the objectives of the study a survey was conducted with the help of structured questionnaires distributed to 203 library professionals in seven major universities in Kerala, (South India) of which 185 questionnaires were returned. Results of the analysis show that majority of the professionals have pursued higher degrees in library science or IT allied courses after entering the profession, and that they have a positive attitude towards participation in training programmes and workshops. The results show that developments in ICT have a positive influence on majority of library professionals‘ attitude towards continuing education programmes.

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Econometrics is a young science. It developed during the twentieth century in the mid-1930’s, primarily after the World War II. Econometrics is the unification of statistical analysis, economic theory and mathematics. The history of econometrics can be traced to the use of statistical and mathematics analysis in economics. The most prominent contributions during the initial period can be seen in the works of Tinbergen and Frisch, and also that of Haavelmo in the 1940's through the mid 1950's. Right from the rudimentary application of statistics to economic data, like the use of laws of error through the development of least squares by Legendre, Laplace, and Gauss, the discipline of econometrics has later on witnessed the applied works done by Edge worth and Mitchell. A very significant mile stone in its evolution has been the work of Tinbergen, Frisch, and Haavelmo in their development of multiple regression and correlation analysis. They used these techniques to test different economic theories using time series data. In spite of the fact that some predictions based on econometric methodology might have gone wrong, the sound scientific nature of the discipline cannot be ignored by anyone. This is reflected in the economic rationale underlying any econometric model, statistical and mathematical reasoning for the various inferences drawn etc. The relevance of econometrics as an academic discipline assumes high significance in the above context. Because of the inter-disciplinary nature of econometrics (which is a unification of Economics, Statistics and Mathematics), the subject can be taught at all these broad areas, not-withstanding the fact that most often Economics students alone are offered this subject as those of other disciplines might not have adequate Economics background to understand the subject. In fact, even for technical courses (like Engineering), business management courses (like MBA), professional accountancy courses etc. econometrics is quite relevant. More relevant is the case of research students of various social sciences, commerce and management. In the ongoing scenario of globalization and economic deregulation, there is the need to give added thrust to the academic discipline of econometrics in higher education, across various social science streams, commerce, management, professional accountancy etc. Accordingly, the analytical ability of the students can be sharpened and their ability to look into the socio-economic problems with a mathematical approach can be improved, and enabling them to derive scientific inferences and solutions to such problems. The utmost significance of hands-own practical training on the use of computer-based econometric packages, especially at the post-graduate and research levels need to be pointed out here. Mere learning of the econometric methodology or the underlying theories alone would not have much practical utility for the students in their future career, whether in academics, industry, or in practice This paper seeks to trace the historical development of econometrics and study the current status of econometrics as an academic discipline in higher education. Besides, the paper looks into the problems faced by the teachers in teaching econometrics, and those of students in learning the subject including effective application of the methodology in real life situations. Accordingly, the paper offers some meaningful suggestions for effective teaching of econometrics in higher education

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One of the most amazing and wonderful mathematicians of all time is Srinivasa Ramanujan. He provides a shining example for each of us in at least two important ways. First, his magical genius has provided mathematicians for the last one hundred years with wonderful research directions that have greatly enriched our understanding of many areas of Mathematics. Second, he has shown us that someone born in poverty can achieve success beyond our wildest dreams. The world is a better place because he lived”.

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In this article we compare regression models obtained to predict PhD students’ academic performance in the universities of Girona (Spain) and Slovenia. Explanatory variables are characteristics of PhD student’s research group understood as an egocentered social network, background and attitudinal characteristics of the PhD students and some characteristics of the supervisors. Academic performance was measured by the weighted number of publications. Two web questionnaires were designed, one for PhD students and one for their supervisors and other research group members. Most of the variables were easily comparable across universities due to the careful translation procedure and pre-tests. When direct comparison was not possible we created comparable indicators. We used a regression model in which the country was introduced as a dummy coded variable including all possible interaction effects. The optimal transformations of the main and interaction variables are discussed. Some differences between Slovenian and Girona universities emerge. Some variables like supervisor’s performance and motivation for autonomy prior to starting the PhD have the same positive effect on the PhD student’s performance in both countries. On the other hand, variables like too close supervision by the supervisor and having children have a negative influence in both countries. However, we find differences between countries when we observe the motivation for research prior to starting the PhD which increases performance in Slovenia but not in Girona. As regards network variables, frequency of supervisor advice increases performance in Slovenia and decreases it in Girona. The negative effect in Girona could be explained by the fact that additional contacts of the PhD student with his/her supervisor might indicate a higher workload in addition to or instead of a better advice about the dissertation. The number of external student’s advice relationships and social support mean contact intensity are not significant in Girona, but they have a negative effect in Slovenia. We might explain the negative effect of external advice relationships in Slovenia by saying that a lot of external advice may actually result from a lack of the more relevant internal advice

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This tutorial presents what the School of Electronics and Computer Science expects of its undergraduate students.

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A presentation on how to write an academic literature review for SOES 6018. This module aims to ensure that MSc Oceanography, MSc Marine Science, Policy & Law and MSc Marine Resource Management students are equipped with the skills they need to function as professional marine scientists, in addition to / in conjuction with the skills training in other MSc modules. The module covers training in fieldwork techniques, communication & research skills, IT & data analysis and professional development.

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Material to support the library session to support this course.

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IBM provide a comprehensive academic initiative, (http://www-304.ibm.com/ibm/university/academic/pub/page/academic_initiative) to universities, providing them free of charge access to a wide range of IBM Software. As part of this initiative we are currently offering free IBM Bluemix accounts, either to be used within a course, or for students to use for personal skills development. IBM Bluemix provides a comprehensive cloud based platform as a service solution set which includes the ability to quickly and easily integrate data from devices from Internet of Things ( IoT) solutions to develop and run productive and user focused web and mobile applications. If you would be interested in hearing more about IBM and Internet of Things or you would like to discuss prospective research projects that you feel would operate well in this environment, please come along to the seminar!

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Introduction: Dysmenorrhea has a prevalence between 60 and 93%. Different factors have been associated with it, such as age at menarche, body mass index, exercise, smoking and maternal history of dysmenorrhea, among others. Materials and methods: A cross-sectional study was conducted, based on an anonymous survey applied to a random sample of 127 women from the school of medicine and psychology at the Universidad Del Rosario. Results: The prevalence of  dysmenorrhea was 73%. 67% of participants presenting with menstrual pain, reported having taken pain relief medication (66.7% self medicated). 32.5% of respondents with dysmenorrhea were absent from their academic or social work, with a percentage of school absenteeism due to pain of 74.5% in at least one day. The risk of dysmenorrhoea was 2.36 times higher in women who had mothers with this history (OR = 2.36, 95% CI 1.03 to 5.40). No associations with other factors were found. Conclusions: Dysmenorrhea is a disease with a high prevalence and significant impact on school absenteeism. Maternal history of dysmenorrhea was the only factor positively associated in this study.