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The review article presents an analysis of the literature on environmental literacy in sustainable development. By utilizing techniques to examine multiple documents published between 2013 and 2023, including citation analysis, co-authorship analysis, subject area analysis, and keyword analysis, this study aims to provide valuable information and insights into the research landscape surrounding environmental literacy and its contribution to promoting sustainable development. A systematic search was conducted to gather several scientific articles, conference papers, and publications from the Scopus database from 2013 to 2023. The findings of this analysis shed light on authors, influential institutions, and active research groups that contributed to the study of environmental literacy and sustainable development. This comprehensive review offers an understanding of the state of research in this field while identifying areas for further exploration and research gaps. The insights gained from this study can be highly beneficial for researchers, policymakers, and practitioners seeking to advance knowledge and take action toward promoting literacy's role in sustainable development. This analysis is a foundation for advancing our understanding of literacy's significance while emphasizing its vital role in sustainable development efforts.

Current paper reports the findings of a content analysis of Open Educational Resources. Twenty three studies were collected for the analysis. The studies were collected from different journals depending on open access policy. Every study was categorised by author, year of publication, title of the study, author characteristics and analysis. The analysis refers to the information about Open Educational Resources variables. Therefore the investigators categorize the research papers based on OER. An analysis of research papers was formed in conclusion and finalizing the common dimensions of content analysis of OER studies.

The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data envelopment analysis: its growth rate, major collaboration networks, the most important and popular research topic. A total of 169 related publications were collected and analyzed from 1988 to 2021. The analysis results show that: Publications published every year have increased sharply in the last six years; The quality of publications is relatively high as publications tend to be published in journals with high-ranking indexes; Countries with the most influence in studies on this topic are: Italy, China, Spain, the USA, and the United Kingdom; Authors with the most influence in this research direction are Agasisti T., Abbott M., Doucouliagos C., Avkiran N.K., and Johnes J.; The research cooperation among countries and among affiliations is not strong. Finally, the paper has provided recommendations for future studies based on the findings.

This review paper synthesizes peer-reviewed empirical research published between 2010 and 2021 about wildland fire communication practices. Our goal was to systematically review and provide an overview of how wildland fire communication has been empirically studied, and theoretical and methodological underpinnings and representativeness of this work. We found that researchers employ diverse theoretical and methodological approaches, yet most work originates from the western United States or Australia. Studies were published in diverse disciplinary journals, most frequently looked at residents as study subjects, and many sought to understand the effectiveness of communication. There is a need to build theoretical and methodological consistency in wildland fire communication research.

Signature is a biometrics trait widely used for personal verification in financial and most other organizations where financial and relevant types of transactions are done manually with signed authorized papers. A signature verification system aims to verify the minor structural differences between genuine and forged signatures, as most skilled forgery signatures look similar to their respective genuine signatures with specific deformations. Signature verification in a multi-cultural country like India is challenging in both writer-independent and script-independent scenarios where the Indian population uses multiple scripts to write their signatures. This paper reports a writer-independent offline signature verification system that uses Convolutional Neural Network (CNN) architecture for feature extraction and classification. The objective of the proposed work is to model a CNN-based adaptable system to verify multi-scripted offline signatures. The model has been trained and tested on two publicly available databases, viz. CEDAR and BH-Sig260, which consist of Hindi, Bengali, and English signatures. Individual signature classes of unique scripts and a combination of these scripts have been considered for testing the proposed model that determines verification accuracies of 90%, 95%, 98.33%, and 93.33%, respectively. Experimental results are compelling, and the proposed model outperforms the verification accuracies of some well-known models. [ABSTRACT FROM AUTHOR]

Objective: The high-cited publications (HCPs) (with 50 or more citations) on orthopedic research from India were analyzed on various parameters. Methodology: The HCPs that were published between 2002 and 2021, on the Indian orthopedic research and indexed in the Scopus database were evaluated on various parameters. A network analysis was used to evaluate and visualize the collaborative interaction among the most productive organizations, authors, and keywords using VOSviewer and Biblioshyn software. Results: Of the total 4606 publications, 179 (3.88%) were HCPs, that were cited 22767 times (averaging 127.19 citations per publication). An external funding was received in 24.58% of publications and 36.87% of publications had an international collaboration. The most productive organizations were the Indian Institute of Science - Bengaluru (n = 11), All India Institute of Medical Sciences - New Delhi, and Amrita Institute of Medical Sciences - Kochi (n = 8 each) and the most impactful organizations in terms of citations per paper and relative citation index were Vellore Institute of Technology - Vellore, TIET - Patiala, and Lovely Professional University. The most productive authors were K. Chatterjee, D. Lahiri, and R. Vaishya. The most impactful authors were P. Mukherjee, S. Rajasekaran, and J. N. Babu in terms of citations per paper and relative citation index. Delhi was the epicenter of research and publications (n = 27). Material science and medicine contributed the largest number of publications (n = 77 and n = 73), followed by Engineering (n = 51). Treatment and clinical studies accounted maximally (24.58% and 8.38%) and hydroxyapatite (n = 40) was the most significant keyword appearing in the literature. Conclusion: This study provided an insight into understanding of research status including trends identified and studied the most influential contributions and performance of Indian organizations and authors and indicated broad and narrow subject fields contributing to this medical specialty. It gives some ideas about past, present, and future hotspots in research. [ABSTRACT FROM AUTHOR]

Here, we talk to first author Shubhi Pandey about her paper, "Intrinsic bias at non-canonical, β-arrestin-coupled seven transmembrane receptors," and group leader Arun K. Shukla about the research in his lab, the evolving research landscape in India, and his wish to motivate young Indian researchers abroad to return to India. [ABSTRACT FROM AUTHOR]

Unlike Kamala Das and Maitreyi Devi, Pritam made a conscious decision to not self-translate her autobiography in English despite being a multilingual female author. In the twentieth century, when Pritam wrote about female emancipation and the strength of feminine authorship, English education was not offered to most women in the country.[35] Unlike Das or Devi, Pritam, although educated and plurilingual, lacked formal English education. While Kamala Das and Maitreyi Devi rely on the colonising linguistic influences of the English language in their self-translations, Pritam's distinct authorial choice of using her mother tongue to write her own confessional narrative is crucial to this research. Unlike Devi's narrative that barely touches upon the atrocities of the British rule in India, twentieth-century poet and author Amrita Pritam uses her authorship to delve into the cruelties brought forth by the Indian war of independence against the British. [Extracted from the article]

With increase in the scope, scale and sophistication of digitisation, the line between fake and real is blurred. In the recent years, digital disinformation in the form of fake news or morphed pictures/videos has become a new normal on internet. Adding to this list are the artificial intelligence generated-Deepfakes. The wide use of deepfakes in cinematography, fake pornography, political campaigns etc. have fascinated the legal fraternity across the globe. Deepfakes raises many legal alarms including threat to privacy, cyber security, right to publicity, forgery, defamation, criminal intimidation, sedition, copyright infringement, copyright protection, authorship and the list continues. The concern of this article is to understand the copyright issues embroiled in deepfakes in Indian context. The first point of discussion is the sustainability of the claim of copyright infringement or right of publicity arising out of the modification and republication of original work to create deepfakes. Secondly, the creative use of deepfakes like in advanced cinematography would require copyright protection to the author. However, the issue is identifying the author of the deepfake – is it artificial intelligence or the human causing its creation. [ABSTRACT FROM AUTHOR]