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Background: Health care providers worldwide are rapidly adopting electronic medical record (EMR) systems, replacing paper record-keeping systems. Despite numerous benefits to EMRs, the environmental emissions associated with medical record-keeping are unknown. Given the need for urgent climate action, understanding the carbon footprint of EMRs will assist in decarbonizing their adoption and use., Objective: We aimed to estimate and compare the environmental emissions associated with paper medical record-keeping and its replacement EMR system at a high-volume eye care facility in southern India., Methods: We conducted the life cycle assessment methodology per the ISO (International Organization for Standardization) 14040 standard, with primary data supplied by the eye care facility. Data on the paper record-keeping system include the production, use, and disposal of paper and writing utensils in 2016. The EMR system was adopted at this location in 2018. Data on the EMR system include the allocated production and disposal of capital equipment (such as computers and routers); the production, use, and disposal of consumable goods like paper and writing utensils; and the electricity required to run the EMR system. We excluded built infrastructure and cooling loads (eg. buildings and ventilation) from both systems. We used sensitivity analyses to model the effects of practice variation and data uncertainty and Monte Carlo assessments to statistically compare the 2 systems, with and without renewable electricity sources., Results: This location's EMR system was found to emit substantially more greenhouse gases (GHGs) than their paper medical record system (195,000 kg carbon dioxide equivalents [CO 2 e] per year or 0.361 kg CO 2 e per patient visit compared with 20,800 kg CO 2 e per year or 0.037 kg CO 2 e per patient). However, sensitivity analyses show that the effect of electricity sources is a major factor in determining which record-keeping system emits fewer GHGs. If the study hospital sourced all electricity from renewable sources such as solar or wind power rather than the Indian electric grid, their EMR emissions would drop to 24,900 kg CO 2 e (0.046 kg CO 2 e per patient), a level comparable to the paper record-keeping system. Energy-efficient EMR equipment (such as computers and monitors) is the next largest factor impacting emissions, followed by equipment life spans. Multimedia Appendix 1 includes other emissions impact categories., Conclusions: The climate-changing emissions associated with an EMR system are heavily dependent on the sources of electricity. With a decarbonized electricity source, the EMR system's GHG emissions are on par with paper medical record-keeping, and decarbonized grids would likely have a much broader benefit to society. Though we found that the EMR system produced more emissions than a paper record-keeping system, this study does not account for potential expanded environmental gains from EMRs, including expanding access to care while reducing patient travel and operational efficiencies that can reduce unnecessary or redundant care., (©Cordelia Kwon, Lernik Essayei, Michael Spencer, Tom Etheridge, Rengaraj Venkatesh, Natrajan Vengadesan, Cassandra L Thiel. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.02.2024.)

Purpose: This study aims to examine the effectiveness of the Central Board of Secondary Education (CBSE)-based English textbooks and question papers in developing second-language higher-order thinking skills (HOTS). Design/methodology/approach: Descriptive analysis establishes a causal relationship between learning objectives and second language (L2) writing proficiency. Content analysis is used to compare and analyze tabulated data for textbooks and question papers for the English language by the National Council of Educational Research and Training (NCERT) and CBSE. This method categorizes the materials and their assessments under HOTS and lower-order thinking skills to ascertain the relationship between learning objectives and L2 writing proficiency. Findings: The study highlights teaching material and assessment shortcomings and their alignment with learning outcomes to enhance students' writing skills. It underscores the need for HOTS-focused materials, discussing their impact on writing skills. The study also explores how textbook-question paper mismatch hampers Bloom's taxonomy-based cognitive skills. Practical implications: This research illuminates the efficacy of teaching and learning English as a second language (ESL) writing skills to improve the quality of education, which has real-world implications. The study highlights flaws in the educational system in India and suggests curricular and pedagogical changes. Originality/value: The research examines NCERT and CBSE ESL textbooks and question papers to align teaching and assessment methods. The results aim to improve education through ESL writers' HOTS.

The pulp and paper industry is critical to global industrial and economic development. Recently, India's pulp and paper industries have been facing severe competitive challenges. The challenges have impaired the environmental performance and resulted in the closure of several operations. Assessment and prediction of the performance of the Indian pulp and paper industry using various parameters is a critical task for researchers. This study proposes a framework for performance assessment and prediction based on Data Envelopment Analysis (DEA), Artificial Neural Networks, and Deep Learning (DL) to assist industry administration and decision-making. We presented a case study based on eight industries to demonstrate the methodology's applicability. This study analyses and predicts industry performance based on sample data observations over 30 years. The result suggests the DEA-DL-based efficiency prediction has an overall MSE of 0.08 compared with the actual efficiency. Furthermore, the efficiency rankings are compared between the three techniques. The results suggest that the integrated DEA-DL method is primarily accurate in most scenarios with the actual values. The findings of this study provide a comprehensive analysis of environmental performance for policymakers. [ABSTRACT FROM AUTHOR]

In India, cow dung is widely utilized to create formulations that serve as effective plant growth enhancers with antimicrobial properties. The cow dung-derived handmade paper manufacturing process produces two waste-liquor streams, a Raw Liquor (RL) produced through the dewatering of the cow-dung slurry and a Black Liquor (BL) produced during the soda pulping of dewatered cow dung. The present study explored the potential of these waste streams to be used as plant biofertilizers for germination and cultivation of Vigna radiata seeds (mung bean, IPM-02-03 variety). An in vitro assay for seed germination efficiency and a pot study for plant growth promotion (PGP) activity were used to assess this potential. The in vitro assay demonstrated that nutrient-rich RL, with its 100% seed germination efficiency (better than the 85.7% of tap water) was an effective biofertilizer for seed germination. In contrast, BL yielded poor seed germination efficiency. The pot study showed that water irrigation led to good seed germination, survival, plant rooting and shooting, but it was probably deprived of nutrients for inducing good grain yields. When water was replaced with RL, it was able to replicate the results, but with good grain yields. In contrast, BL produced poorer germination, seed survival and PGP results. The poor biofertilization efficiency of BL was most probably due to the nutrient losses and toxic chemicals produced in the harsh pulping process. The results showed that RL, though considered a waste stream, is sufficiently nutrient-rich to act as an effective biofertilizer for germinating mung bean seeds and promoting plant growth and grain yields. [ABSTRACT FROM AUTHOR]

Evaluation is one of the most difficult areas of educational pursuits. The most common type of evaluation and assessment is through a written examination. The majority of the time, questions is drafted right before the examination without going through a quality control process, which might cause confusion or incorrect interpretation of the questions by the students. Students' self-confidence and self-esteem grow as a result of their increased understanding of the question paper's structure, and they then affirm their ability to complete the task. The design of the question paper is prepared, with consideration given to the objectives, the various forms and types of questions, and the various content areas, a projected time, Level of difficulty anticipated. In order to enhance the standard of student evaluation and assessment, this article focuses on offering instructions and a scientific technique for creating effective question papers. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine the effectiveness of the Central Board of Secondary Education (CBSE)-based English textbooks and question papers in developing second-language higher-order thinking skills (HOTS). Design/methodology/approach: Descriptive analysis establishes a causal relationship between learning objectives and second language (L2) writing proficiency. Content analysis is used to compare and analyze tabulated data for textbooks and question papers for the English language by the National Council of Educational Research and Training (NCERT) and CBSE. This method categorizes the materials and their assessments under HOTS and lower-order thinking skills to ascertain the relationship between learning objectives and L2 writing proficiency. Findings: The study highlights teaching material and assessment shortcomings and their alignment with learning outcomes to enhance students' writing skills. It underscores the need for HOTS-focused materials, discussing their impact on writing skills. The study also explores how textbook–question paper mismatch hampers Bloom's taxonomy-based cognitive skills. Practical implications: This research illuminates the efficacy of teaching and learning English as a second language (ESL) writing skills to improve the quality of education, which has real-world implications. The study highlights flaws in the educational system in India and suggests curricular and pedagogical changes. Originality/value: The research examines NCERT and CBSE ESL textbooks and question papers to align teaching and assessment methods. The results aim to improve education through ESL writers' HOTS. [ABSTRACT FROM AUTHOR]

This paper examines new forms of study-abroad expertise on social media and their role in mediating Indian student mobility to Germany. Firstly, it explores how mutual-support Facebook and WhatsApp groups—used by prospective international students in India to support each other through the process of applying to German universities—have contributed to the emergence of new forms of education consultancy, offered by Indian students or graduates of German universities, whom I call 'Student Guides'. In addition, it shows how some Indians studying in Germany have started 'Study in Germany' YouTube channels, aimed at aspirant student migrants, and have become important 'study-abroad influencers'. The paper analyses how these new forms of study-abroad expertise offer prospective international students social and cultural capital important for successful student migration, apart from shaping their imaginative geographies of Germany, and embedding them in cultures of mobility. Furthermore, the paper highlights how these new forms of study-abroad expertise intersect with, and critique, a more 'traditional' study-abroad expert: the professional education consultant. The paper draws on a digital ethnography of 'Study in Germany' Facebook and WhatsApp groups and YouTube channels, as well as interviews with the YouTubers, Student Guides, and Indian students in Germany. [ABSTRACT FROM AUTHOR]

With growing internationalism, there is a shift in research patterns in developing countries, especially China and India, generating vital and contemporary research areas that are beginning to challenge the existing Western‐dominated research literature in social sciences. Yet, many of the new ideas within conceptual papers by the social sciences are not empirically validated, let alone operationalized. This is where the group concept mapping method can play a role in bridging the gap between phenomenal conceptualization and having an empirically valid model that can then be operationalized. The group concept mapping process involves five steps: create statements, sort statements, run multidimensional scaling (MDS) of sorted units, run cluster analysis, and label the clusters. This approach allows for the collective thoughts of a pre‐defined group to be collected and organized into a tangible output with academic rigor. This paper offers an overview of the group concept mapping methodology, discussing the processes of the method, how the method can be utilized fully within the business and broader social science context, and the strengths, weaknesses, and practical implications of group concept mapping. [ABSTRACT FROM AUTHOR]