Research on Sustainable Agriculture Among QUAD Countries: A Bibliometrics Study

This study formulates to understand state-of-the-art research in sustainable agriculture among QUAD countries. Bibliometric analysis has been used to identify hot areas, trends, and various research clusters in sustainable agriculture. This study examined such connections and relationships from a bibliometric approach using Scopus databases from 2002 to 2021. The topic and title/abstract/keyword search strategy have been used. The search query retrieved 17498 documents with bibliographic details in RIS and CSV format.  VOSviewer and R  software (Biblioshiny) were used for data analysis about authors, research keywords, institutions, countries, sources, and citations. The growth of research shows an upward tendency in the total number of publications; the United States has been designated the top QUAD nation, followed by India, Australia, and Japan. The top three author keywords were soil, agriculture, and yield found. The Science of The Total Environment ranked first in terms of literature publication, where the highest citation was received by the Journal of the American Chemical Society. International collaborations with QUAD countries indicate that China is on top of several research, whereas the United Kingdom and Germany because of natural allies of the USA. Between 2019 and 2021, Smallholder farmers, conservation agriculture, sustainable intensification, trade-off, crop rotation, soil health, life cycle, and assessment were found as hot spot research areas. Keyword analysis and time evolution of various essential sustainable Agriculture have shown that the research associated with contemporary problems in agriculture and utilization of technology. Nonetheless, while climate change influences agriculture, it is anticipated that, shortly, researchers will concentrate more on sustainable agriculture, green agriculture, and organic agriculture as a step toward lowering fertilizer usage for climate change mitigation

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

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

Library Website as an Indicator of Academic Excellence: A Web Analysis of the Leading IITs in India

This study aims to understand the services and web-based library resources of Indian Institutes of Technology (IIT) libraries. Each library included in the study has a specific webpage and provides standard library information. The content characteristics of the websites of the top five Indian Institutes of Technology (IIT) libraries, according to the NIRF ranking 2023, are assessed in this study. We create a systematic checklist to achieve the study\u27s goals, utilizing the availability of literature. The study focuses primarily on the webpages of the selected IIT libraries, examining aspects such as webpage framework, style, layout, library services, and content. It explores how the IIT Library system employs rankings, services, print and electronic resources, and library technology solutions to support its users. The observational approach is utilized as the primary research method for this study. The study indicates that IITs have satisfactory web-based tools and services. Search and advanced search tools are implemented in almost all libraries, allowing users to browse available resources. Furthermore, every library website features hyperlinks to institutional repositories and open-access content. Based on the overall assessment, the IIT Delhi library website obtains the highest rating (77%), while the IIT Madras library website scores the lowest (60%) among the selected IIT libraries. The study suggests that these libraries should transition to the next level of high-tech services, such as dynamic websites, social media networks, and mobile applications, to meet the needs of young and emerging minds

Structural Phase Transitions in Perovskite BaCeO₃ with Data Mining and First-Principles Theoretical Calculations

Several neutron diffraction, Raman spectroscopy, and thermoanalytical experiments conducted over decades have revealed that 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 experiments are concerned, in the temperature range of 4.2 to 1273 K, four structures are crystallographically well characterized with three transitions, orthorhombic Pnma → orthorhombic Imma [563 K] → rhombohedral R3̅c [673 K] → cubic Pm3̅m [1173 K], which lately have been reciprocally realized in the studies of polarized Raman spectroscopy. In contrast, thermoanalytical methods such as dilatometry showed multiple singularities corresponding to at least three more structural phase transitions at around 830, 900, and 1030 K, in addition to those recorded by neutron studies. In account of these conflicting experimental findings, we computed a free-energy phase diagram for BaCeO3 polymorphs 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, and it has been found that a number of these polymorphs are thermodynamically competing with Pnma as the temperature rises. In particular, it has been predicted that the orthorhombic Cmcm and tetragonal P4/mbm phases surpass Pnma at 666 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 show that the rhombohedral R3̅c phase is predominantly stabilized over a broad temperature field, masking all subsequent phases up until the cubic Pm3̅m. Consequently, the novel phases predicted to occur in thermoanalytical studies are only fleetingly metastable. The calculated phonons additionally demonstrate that the high-temperature phases are not quenchable down to room temperature. The theoretical results presented reconcile the apparent inconsistencies observed thus far in the experiments

Table2_Identification of metabolic fingerprints in severe obstructive sleep apnea using gas chromatography–Mass spectrometry.XLSX

Objective: Obstructive sleep apnea (OSA) is considered a major sleep-related breathing problem with an increasing prevalence rate. Retrospective studies have revealed the risk of various comorbidities associated with increased severity of OSA. This study aims to identify novel metabolic biomarkers associated with severe OSA.Methods: In total, 50 cases of OSA patients (49.74 ± 11.87 years) and 30 controls (39.20 ± 3.29 years) were included in the study. According to the polysomnography reports and questionnaire-based assessment, only patients with an apnea–hypopnea index (AHI >30 events/hour) exceeding the threshold representing severe OSA patients were considered for metabolite analysis. Plasma metabolites were analyzed using gas chromatography–mass spectrometry (GC-MS).Results: A total of 92 metabolites were identified in the OSA group compared with the control group after metabolic profiling. Metabolites and their correlated metabolic pathways were significantly altered in OSA patients with respect to controls. The fold-change analysis revealed markers of chronic kidney disease, cardiovascular risk, and oxidative stress-like indoxyl sulfate, 5-hydroxytryptamine, and 5-aminolevulenic acid, respectively, which were significantly upregulated in OSA patients.Conclusion: Identifying these metabolic signatures paves the way to monitor comorbid disease progression due to OSA. Results of this study suggest that blood plasma-based biomarkers may have the potential for disease management.</p

Table1_Identification of metabolic fingerprints in severe obstructive sleep apnea using gas chromatography–Mass spectrometry.DOCX

Objective: Obstructive sleep apnea (OSA) is considered a major sleep-related breathing problem with an increasing prevalence rate. Retrospective studies have revealed the risk of various comorbidities associated with increased severity of OSA. This study aims to identify novel metabolic biomarkers associated with severe OSA.Methods: In total, 50 cases of OSA patients (49.74 ± 11.87 years) and 30 controls (39.20 ± 3.29 years) were included in the study. According to the polysomnography reports and questionnaire-based assessment, only patients with an apnea–hypopnea index (AHI >30 events/hour) exceeding the threshold representing severe OSA patients were considered for metabolite analysis. Plasma metabolites were analyzed using gas chromatography–mass spectrometry (GC-MS).Results: A total of 92 metabolites were identified in the OSA group compared with the control group after metabolic profiling. Metabolites and their correlated metabolic pathways were significantly altered in OSA patients with respect to controls. The fold-change analysis revealed markers of chronic kidney disease, cardiovascular risk, and oxidative stress-like indoxyl sulfate, 5-hydroxytryptamine, and 5-aminolevulenic acid, respectively, which were significantly upregulated in OSA patients.Conclusion: Identifying these metabolic signatures paves the way to monitor comorbid disease progression due to OSA. Results of this study suggest that blood plasma-based biomarkers may have the potential for disease management.</p