Authorship Pattern and Collaboration Coefficient of India in Biotechnology research during 2001-2016: Based on Scopus Database

The study presents the growth trend about authorship pattern and author collaboration in the Biotechnology for sixteen years with the sample of 18918 articles which have been collected from Scopus database during year 2001-2016. A predefined search string has been used for data download. The five scientometric tools collaboration coefficient (CC), authorship pattern (AP), activity index (AI), Relative Growth Rate (RGR) and Doubling time of Literature (Dt.) have been used for the data analysis. The average number of authors per article for India has been counted as 4.92. In the study, the collaboration coefficient for 16 years (2001-2016) is noticed as 0.63 for India. The study shows that multi- authorship articles are higher in average and they are dominant over single authorship pattern. The science growth rate is always useful for the study, so that relative growth rate and doubling time of literature tools have been used for the study to explore needs of manpower and finance for future and present research activity. The mean of relative growth rate for sixteen year shows the decreasing rate and for last four years its pattern of publication is stable. The corresponding doubling time for different years [Dt (P)] gradually fallowed the increasing pattern. It has been found that majority of the Biotechnology researchers are working through team research or collaborative research rather than individual research. The average activity index of India for sixteen years is counted as 91.78. The highest AI year for India is 2016 with 180.3 whereas the lowest counted in 2001 with 42.38. The international collaboration pattern shows for India, United States is the most favoured nation

Biotechnology research pattern in four SAARC countries from 2007 to 2016

The study presents the trends in authorship pattern and author collaborative in the Biotechnology research field with the sample of 18119 articles which collected from Scopus database for the year 2007 to 2016. The search string used for data download is same for all country and all data downloaded for each country. The three scientometric tools; Collaboration Coefficient, Authorship pattern and Activity Index have been used for the data analysis. The multi- authorship articles are greater than single authorship. The study found that the researchers in Biotechnology move towards team research or group research rather than solo research. The average Activity Index of four SAARC countries for ten years’ time spam is highest for India and lowest counted for Sri Lanka followed by Pakistan and Bangladesh at the 3rd and 4th place. The international collaboration shows that the United States has taken the top position for India and Sri Lanka, another hand China important for Pakistan and Bangladesh contributed with Japan

Re-structuring for Relevance in Digital Era: A Paradigm Shift of Public Library Services in Bodoland Territorial Region (BTR)

Public libraries are a reliable platform for people to exchange information and understand culture, language, literature, customs, and traditions. However, the success rate of public library services in BTR is not satisfactory due to inadequate infrastructure, less use of ICT, unskilled staff, poor funding, and improper policy. This study analyses the present status of public library services to identify the problems, possibilities, and prospects of Bodoland public library services for re-structuring by taking relevant elements of the digital age. The study\u27s main objective is to suggest re-structure the public library services to minimize the gap between public libraries and the people of Bodoland (BTR)

Visualization of Authorship Patterns and Research Trends of Annals of Library and Information Studies

The study was designed to know the year-wise research growth rate, author collaboration pattern and productivity, sub-domain research in library science, research keyword network, thematic and cluster analysis of journal Annals of Library and Information Science. The data search and download has been done under (Scopus database) sources by selecting the subject area Social Science/Library and Information Science and the journal Annals of Library and Information Science. A total of 388 articles from the study period 2011 to 2022 have been downloaded with all bibliographic information from the Scopus database. VOSviewer (version, 1.6.9) and R (Biblioshiny) software have been used for data visualization and keyword analysis. Total 388 articles were published in which 2014 noted as the most productive year (11.60%) and 2019 as least productive (4.64%) year. Citation analysis indicates that highest 315 citation (18.39%) for year 2011 and lowest 32 (1.87%) in 2022, noted so for averaging 4.41 per article annually. multi-authored articles were found prominent (48.20%), followed by single authors (33.76%). The Collaborative Index ranged from 1.81 to 2.03 (average 1.88), and the Degree of Collaboration found between 0.88 to 0.73 (average 0.82). The Collaboration Coefficient, reflecting averaged collaboration 0.365, with values from 0.29 to 0.41. B K Sen, B Dutta, and K C Garg, noted as highest contributor for this journal where with article “Internet of Things and Libraries published by Pujar S M & Satyanarayana K V in year 2015 has highest number of citations for any article. Keyword analysis indicate that term Scientometrics, Bibliometrics, and India, occurred most time where Library Services, H-index, and Covid-19 noted as latest occurred term for year 2021. The thematic analysis of subject shows that koha, vufind, ethics, open source, ontology, academic integrity, citation impact, altmetrics, lexicon etc. found as emerging subject areas for research. As expected, India emerged as the primary contributor in publications (76.80%) and citations (75.55%), followed by Nigeria (6.44% publications, 5.78% citations) which shows the journal must make its presence on international level.The institute analysis indicates that research institutes are sharing more publication comparing to the central university where the library science department exist

Structural phase transitions in perovskite BaCeO3 with data mining and first-principles theoretical calculations

Several experiments conducted over decades have revealed that the perovskite-structured BaCeO3 goes through a series of temperature-induced structural phase transitions. However, it has been frequently observed that the number of phases and the sequence in which they appear as a function of temperature differ between experiments. Insofar as neutron diffraction and Raman spectroscopy experiments are concern, four structures are well characterized with three transitions: Pnma to Imma [563 K] to R-3c [673 K] to Pm-3m [1173 K]. In contrast, thermoanalytical methods showed multiple singularities corresponding to at-least three more structural transitions at around 830 K, 900 K, and 1030 K. In account of these conflicting experimental findings, we computed free energy phase diagram for BaCeO3 employing crystal structure data mining in conjunction with first principles electronic structure and phonon lattice dynamics. A total of 34 polymorphs have been predicted, the most stable of which follows the Glazer classification of the perovskite tilt system. It has been predicted that the Cmcm and P4/mbm phases surpass Pnma at 666 K and 1210 K, respectively. At any temperature, two alternate tetragonal phases (P42/nmc and I4/mcm) are also found to be 20 to 30 meV less favored than the Pnma. While the calculated stability order of the predicted polymorphs is in acceptable agreement with the results of neutron diffraction, the transitions observed in thermoanalytical studies could be ascribed to the development of four novel phases (Cmcm, P4/mbm, P42/nmc, and I4/mcm) at intermediate temperatures. However, we analyze that the R-3c phase predominantly stabilized over a broad temperature field, masking all subsequent phases up until the cubic Pm-3m. Consequently, the novel phases predicted to occur in thermoanalytical studies are only fleetingly metastable.Comment: 20 pages, 5 figures, 1 tabl

Hormonal and non-hormonal oral contraceptives given long-term to pubertal rats differently affect bone mass, quality and metabolism

IntroductionWe investigated the effects of hormonal and non-hormonal oral contraceptives (OCs) on bone mass, mineralization, composition, mechanical properties, and metabolites in pubertal female SD rats.MethodsOCs were given for 3-, and 7 months at human equivalent doses. The combined hormonal contraceptive (CHC) was ethinyl estradiol and progestin, whereas the non-hormonal contraceptive (NHC) was ormeloxifene. MicroCT was used to assess bone microarchitecture and BMD. Bone formation and mineralization were assessed by static and dynamic histomorphometry. The 3-point bending test, nanoindentation, FTIR, and cyclic reference point indentation (cRPI) measured the changes in bone strength and material composition. Bone and serum metabolomes were studied to identify potential biomarkers of drug efficacy and safety and gain insight into the underlying mechanisms of action of the OCs.ResultsNHC increased bone mass in the femur metaphysis after 3 months, but the gain was lost after 7 months. After 7 months, both OCs decreased bone mass and deteriorated trabecular microarchitecture in the femur metaphysis and lumbar spine. Also, both OCs decreased the mineral: matrix ratio and increased the unmineralized matrix after 7 months. After 3 months, the OCs increased carbonate: phosphate and carbonate: amide I ratios, indicating a disordered hydroxyapatite crystal structure susceptible to resorption, but these changes mostly reversed after 7 months, indicating that the early changes contributed to demineralization at the later time. In the femur 3-point bending test, CHC reduced energy storage, resilience, and ultimate stress, indicating increased susceptibility to micro-damage and fracture, while NHC only decreased energy storage. In the cyclic loading test, both OCs decreased creep indentation distance, but CHC increased the average unloading slope, implying decreased microdamage risk and improved deformation resistance by the OCs. Thus, reduced bone mineralization by the OCs appears to affect bone mechanical properties under static loading, but not its cyclic loading ability. When compared to an age-matched control, after 7 months, CHC affected 24 metabolic pathways in bone and 9 in serum, whereas NHC altered 17 in bone and none in serum. 6 metabolites were common between the serum and bone of CHC rats, suggesting their potential as biomarkers of bone health in women taking CHC.ConclusionBoth OCs have adverse effects on various skeletal parameters, with CHC having a greater negative impact on bone strength

Authorship and Collaboration Pattern in Biotechnology Research: A study of IBSA Countries

Scientometric is a type of research method used in the library and information science. The study of the use of documents and patterns of publication in which mathematical and statistical methods have been applied in the scientometric study. It is based on quantitative analysis and statistics to describe patterns of publication within a given field. The study presents the trends of authorship pattern and collaborative research activity in Biotechnology in ISBA Countries. A sample of 24888 articles collect from Scopus database during 2007-2016 is analyzed. The applying scientometric tools are; Collaboration Coefficient, Authorship pattern and Activity Index. In the ten years period, the multi-authorship articles are higher and dominant than single authorship pattern. The average Activity Index of IBSA countries for ten years, South Africa computed highest, where the India and Brazil took second and third place. The international collaboration also presented in this article and it is shown that for IBSA countries USA is most collaborated country

Biotechnology research pattern in four SAARC countries from 2007 to 2016

The study presents the trends in authorship pattern and author collaborative in the Biotechnology research field with the sample of 18119 articles which collected from Scopus database for the year 2007 to 2016. The search string used for data download is same for all country and all data downloaded for each country. The three scientometric tools; Collaboration Coefficient, Authorship pattern and Activity Index have been used for the data analysis. The multi- authorship articles are greater than single authorship. The study found that the researchers in Biotechnology move towards team research or group research rather than solo research. The average Activity Index of four SAARC countries for ten years’ time spam is highest for India and lowest counted for Sri Lanka followed by Pakistan and Bangladesh at the 3rd and 4th place. The international collaboration shows that the United States has taken the top position for India and Sri Lanka, another hand China important for Pakistan and Bangladesh contributed with Japan