OPEN ACCESS PUBLISHING MODEL: PREFERENCES, OPPORTUNITIES, AND CHALLENGES – AN OPINION SURVEY AMONG TEACHING STAFF IN HIGHER EDUCATION INSTITUTIONS IN TAMILNADU

Background: Open Access, a novel model of publishing is one among the surprises and delights of the digital age. It is a paradigm shift in the academic society which hammered up the traditional publishing and unlatched the doors of knowledge to reader community. One of the main drives of open access is to make academic research more easily available and maximum exploitation of resources. Objectives: This study aims to elucidate how well that teaching community working in higher education institutions in Tamil Nadu, endorses for the open access publishing model. The study elucidates their preferences on open access publishing and their perceptions about the opportunities and threats in open access publishing. Methods: Survey design was used to conduct the study and a structured questionnaire is used to collect data. Convenience sampling method is adopted for the study. Data collected were organized in Excel and analyzed by using SPSS PASW 18. Cronbach’s alpha is used to check the internal reliability of the opportunity and threats items. Frequencies and percentages were used to identify the popular publishing model, opportunity and threat. ANOVA and t-test were used to check the statistical relationship between variables. Results: A total of 121 teaching staffs from five higher education institutions in Tamil Nadu were enrolled in the study. Majority of the prefer Open Access publishing model over the other commercial and hybrid publication models. Around 66.1% of teaching staff responded that Open Access is their first choice of publishing. Around 45.5% of teaching staff abide if their subscribed commercial access publisher moves to hybrid access at some point. 51.2% of teaching abide if their subscribed commercial access publisher moves to complete open access at some point. The top most opportunity item as denoted by the teaching staff was New database of information are emerging and in development (71.1%). The top three threat items as denoted by the teaching staff was Open Access is still evolving to become sustainable (66.1%). Opportunity has a significant statistical relationship with No. of OA Journals publications. Conclusion: The study results will help the institutions, higher education system, librarians, information service providers, open access publishers & policy makers and government to intensify their efforts in promoting and nurturing open access publishing model

Photoinduced Carbon−Heteroatom Cross‐Coupling Catalyzed by Nickel Naphthyridine Complexes

We describe versatile and practical light-promoted C−N and C−O cross-coupling reactions catalyzed by NiII complexes supported by 2,7-dimethyl-1,8-naphthyridine ligand. Using the same Ni catalyst and visible light irradiation, both C−O and C−N coupling reactivity was observed without additional photocatalysts. These results demonstrate that Ni naphthyridine complexes represent a versatile catalytic motif for photoredox nickel catalysis alternative to commonly used bipyridines or multidentate ligands.journal articl

OPEN ACCESS PUBLISHING MODEL: PREFERENCES, OPPORTUNITIES, AND CHALLENGES – AN OPINION SURVEY AMONG TEACHING STAFF IN HIGHER EDUCATION INSTITUTIONS IN TAMILNADU

Background: Open Access, a novel model of publishing is one among the surprises and delights of the digital age. It is a paradigm shift in the academic society which hammered up the traditional publishing and unlatched the doors of knowledge to reader community. One of the main drives of open access is to make academic research more easily available and maximum exploitation of resources. Objectives: This study aims to elucidate how well that teaching community working in higher education institutions in Tamil Nadu, endorses for the open access publishing model. The study elucidates their preferences on open access publishing and their perceptions about the opportunities and threats in open access publishing. Methods: Survey design was used to conduct the study and a structured questionnaire is used to collect data. Convenience sampling method is adopted for the study. Data collected were organized in Excel and analyzed by using SPSS PASW 18. Cronbach’s alpha is used to check the internal reliability of the opportunity and threats items. Frequencies and percentages were used to identify the popular publishing model, opportunity and threat. ANOVA and t-test were used to check the statistical relationship between variables. Results: A total of 121 teaching staffs from five higher education institutions in Tamil Nadu were enrolled in the study. Majority of the prefer Open Access publishing model over the other commercial and hybrid publication models. Around 66.1% of teaching staff responded that Open Access is their first choice of publishing. Around 45.5% of teaching staff abide if their subscribed commercial access publisher moves to hybrid access at some point. 51.2% of teaching abide if their subscribed commercial access publisher moves to complete open access at some point. The top most opportunity item as denoted by the teaching staff was New database of information are emerging and in development (71.1%). The top three threat items as denoted by the teaching staff was Open Access is still evolving to become sustainable (66.1%). Opportunity has a significant statistical relationship with No. of OA Journals publications. Conclusion: The study results will help the institutions, higher education system, librarians, information service providers, open access publishers & policy makers and government to intensify their efforts in promoting and nurturing open access publishing model

Barriers in Information Use - A Study among Ophthalmologists in India

Background: Ophthalmologists – Eye Doctors working in academic eye hospitals confront various barriers in their information use. The purpose of this study is to investigate the barriers of ophthalmologists in their information use. Methodology: The study design is cross sectional and convenience sampling method is adopted. A structured questionnaire was used to collect data. SPSS 18 PASW Statistical package was used for statistical analysis. Frequencies, percentages, Mann Whitney U test, Kruskal-Wallis test, Factor Analysis, Wilcoxon signed rank test were used in the study. Findings: Around 633 ophthalmologists working in 47 academic eye hospitals from 16 states of India were included in the study. The study results revealed that majority of the ophthalmologists encountered the barrier Information scattered in too many sources . The statistical test results showed up that there exist a significant difference between barriers in using information among ophthalmologists and institution type. The two major factors of barriers in using information among ophthalmologists were for lack of motivation and support and brunt of technology. The barriers due to brunt of technology were significantly higher than the lack of motivation and support. Conclusion: The barriers faced by ophthalmologists can be jointly handled by the ophthalmic libraries, ophthalmic institutions, information service providers and ophthalmic community

Design and Performance Evaluation of EXMAN: An EXtended MANchester Data Flow Computer

Data flow computers are high-speed machines in which an instruction is executed as soon as all its operands are available. This paper describes the EXtended MANchester (EXMAN) data flow computer which incorporates three major extensions to the basic Manchester machine. As extensions we provide a multiple matching units scheme, an efficient, implementation of array data structure, and a facility to concurrently execute reentrant routines. A simulator for the EXMAN computer has been coded in the discrete event simulation language, SIMULA 67, on the DEC 1090 system. Performance analysis studies have been conducted on the simulated EXMAN computer to study the effectiveness of the proposed extensions. The performance experiments have been carried out using three sample problems: matrix multiplication, Bresenham's line drawing algorithm, and the polygon scan-conversion algorithm