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Introduction: The emergence of artificial intelligence (AI) chat programs has opened two distinct paths, one enhancing interaction and another potentially replacing personal understanding. Ethical and legal concerns arise due to the rapid development of these programs. This paper investigates academic discussions on AI in medicine, analyzing the context, frequency, and reasons behind these conversations. Methods: The study collected data from the Web of Science database on articles containing the keyword "ChatGPT" published from January to September 2023, resulting in 786 medically related journal articles. The inclusion criteria were peer-reviewed articles in English related to medicine. Results: The United States led in publications (38.1%), followed by India (15.5%) and China (7.0%). Keywords such as "patient" (16.7%), "research" (12%), and "performance" (10.6%) were prevalent. The Cureus Journal of Medical Science (11.8%) had the most publications, followed by the Annals of Biomedical Engineering (8.3%). August 2023 had the highest number of publications (29.3%), with significant growth between February to March and April to May. Medical General Internal (21.0%) was the most common category, followed by Surgery (15.4%) and Radiology (7.9%). Discussion: The prominence of India in ChatGPT research, despite lower research funding, indicates the platform's popularity and highlights the importance of monitoring its use for potential medical misinformation. China's interest in ChatGPT research suggests a focus on Natural Language Processing (NLP) AI applications, despite public bans on the platform. Cureus' success in publishing ChatGPT articles can be attributed to its open-access, rapid publication model. The study identifies research trends in plastic surgery, radiology, and obstetric gynecology, emphasizing the need for ethical considerations and reliability assessments in the application of ChatGPT in medical practice. Conclusion: ChatGPT's presence in medical literature is growing rapidly across various specialties, but concerns related to safety, privacy, and accuracy persist. More research is needed to assess its suitability for patient care and implications for non-medical use. Skepticism and thorough review of research are essential, as current studies may face retraction as more information emerges. [ABSTRACT FROM AUTHOR]

In the conditions of the spread of globalization processes, growing interdependence, and interconnectedness of countries, a significant intensification of the academic society efforts to ensure national energy security and independence is necessary. The purpose of the paper is to provide a systematic review of the scientific environment aimed at analysing the contents and features of scientific publications dealing with new trends and patterns in sustainable energy consumption. In order to create a semantic and definition basis and research the main trends of scientific publications on the subject of developing energy efficiency and sustainable consumption, the paper carried out a bibliometric analysis concerning the categories «energy efficient» and «energy consumption» using the Scopus and VOSviewer tools. The main question is, what are the main scientific and research trends and patterns in the field of energy efficiency and sustainable consumption? For this purpose, the quantity and quality tendencies of the scientific articles which are studying issues connected with energy efficiency and sustainable consumer behaviour were determined. A sample of more than 24000 scientific publications on this issue was generated from publications indexed by the Scopus database. The study period covers 2001-2021. On the global level, the analysed investigated area is represented by the countries: China, the USA, and India. VOS viewer tools were used to systemize 5 clusters of scientific articles that analysed sustainable energy consumption from different points of view. Identification of regularities in the developing of scientific approaches to energy-efficient consumption and developing sustainable energy sector was carried out using bibliometric analysis, which has made it possible to describe the dominant retrospective evolutionary and temporal tendencies in the development of this theory concerning the concepts of sustainable development, environmental management, and development of renewables. As a result, one of the most significant trends is a green brand and tendencies connected with developing green marketing and green consumer awareness. [ABSTRACT FROM AUTHOR]

Since the first fully homomorphic encryption scheme was published in 2009, many papers have been published on fully homomorphic encryption and its applications. Machine learning is one of the most interesting applications and has drawn a lot of attention from researchers. To better represent and understand the field of Homomorphic Encryption in Machine Learning (HEML), this paper utilizes automated citation and topic analysis to characterize the HEML research literature over the years and provide the bibliometrics assessments for this burgeoning field. This is conducted by using a bibliometric statistical analysis approach. We make use of web-based literature databases and automated tools to present the development of HEML. This allows us to target several popular topics for in-depth discussion. To achieve these goals, we have chosen the well-established Scopus literature database and analyzed them through keyword counts and Scopus relevance searches. The results show a relative increase in the number of papers published each year that involve both homomorphic cryptography and machine learning. Using text mining of articles titles, we have found that cloud computing is a popular topic in this field, which also includes neural networks, big data, and the Internet of Things. The analysis results show that China, the US, and India have generated almost half of all the research contributions in HEML. The citation statistics, keyword statistics, and topic analyses give us a quick overview of the development of the field, which can be of great help to new researchers. It is also possible to apply our methodology to other research areas, and we see great value in this approach. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive analysis of the agriculture trade dynamic between India and China from 2002–2021. It employed the Revealed Comparative Advantage (RCA) and Revealed Symmetric Comparative Advantage (RSCA) indices and various statistical analyses to assess the trade performance and provide an enhanced comprehension of the specialization pattern. The study has selected 45 agricultural commodities, categorized into seven sections according to the HS Nomenclature 2017. The findings revealed that India boasts a more diversified export portfolio compared to China, with a more significant number of agriculture chapters demonstrating a comparative advantage. Conversely, China's export basket is more concentrated, featuring fewer chapters with a comparative advantage but higher values of RCA and RSCA. The paper also identified the prospective areas for agriculture-trade cooperation and collaboration between the two countries and put forward recommendations. This research aims to offer valuable insights for policymakers, researchers, and traders to enhance bilateral ties and mutual benefits in the agriculture sector. [ABSTRACT FROM AUTHOR]

This paper examines how China's presence in the East African seaports has created a threat to the Indian Ocean's security. In particular, the research empirically analyses whether China's growing activities in the Western Indian Ocean along the East African coast have dismantled the security architecture of the Indo-Pacific. This paper aims to understand the responses of India and her allies in containing China's rise in the region. The paper has taken three East African ports, Dar es Salaam, Lamu, and Doraleh port of Djibouti, as a case study to examine how Chinese presence in these three ports could dismantle the security architecture of Indo-Pacific in the Western Indian Ocean region. The paper demonstrates that the present competition of power projection in the Indian Ocean is a power maximization strategy for the national security of each state. Using primary and secondary data available on China, India, and other states' policies and activities, the study finds that it is a policy failure of the Indo-Pacific, accelerating China's rise in the region. However, the Indo-Pacific partners are revamping their policies to check China's rise in the Indian Ocean region. [ABSTRACT FROM AUTHOR]

The emergence of over-the-top (OTT) services has lately revolutionized the way people consume media content. These services have emerged as a significant disruptor in the media industry in recent years. With the advent of OTT platforms, various concerns have arisen over the censorship and regulation of content on these platforms. Accordingly, this paper has examined the current trends in censorship and regulation of OTT content through the perusal of various legal and regulatory frameworks in the United Kingdom, India, and China. It has probed into cases of censorship and examined various aspects of civil and political liberties. The analysis has revealed a persuasive connection between the degree of freedom of expression and creative freedom dispensed in each region. Lastly, the paper has provided recommendations for policymakers and other stakeholders on balancing the need for freedom of expression and access to information with responsible content management and regulation. [ABSTRACT FROM AUTHOR]

Mendeley reader count is good evidence of the early impact of scientific output since it appears before citations. This paper aims to scope and compare Mendeley readers of Library and Information Science (LIS) articles published from India and China. Mendeley readership data for the highly cited 1,000 articles in Web of Science are extracted using Webometric Analyst for both countries and are analysed using Excel and SPSS. The findings reveal that LIS articles that are published from China got more readers as compared to LIS articles published from India with an excess of 97 readers per paper on Mendeley. The occupational status of readers tells that PhD students are the top readers for both the countries’ publications, followed by masters students. Discipline-wise readership shows that readers were spread across 29 different fields, with the highest readers from business, management and accounting, followed by computer science for both countries’ publications. Location-wise readership depicts that the top engaged readers are from the United States for both the countries’ publications. Finally, the study reports a positive association between citations and Mendeley bookmarks, justifying that Mendeley readership can be used to measure the early research impact of LIS scholarship in both countries. [ABSTRACT FROM AUTHOR]

The Sino-Indian rivalry in Sri Lanka's economic turmoil has significant implications for regional security and India's defense cooperation. Following President Xi's announcement of China's grand strategy, the Belt and Road Initiative, in 2013, China has utilized its infrastructure investment as a typical example of its implementation of soft power diplomacy on a global dimension. This has raised concerns about China's geopolitical ambitions in the Indian Ocean and the potential security threat it poses to India. Using qualitative research methods, this paper analyzes the geo-strategic importance of Sri Lanka in China's ambitions and the political strategies behind economic crises in South Asian countries. The paper evaluates the impact of China's debt-trap diplomacy on India's national security and defense cooperation with Sri Lanka. The findings suggest that Sri Lanka's economic instability has provided China with an opportunity to encircle and contain India in the region, and that India needs to take proactive steps to mitigate this threat. Overall, the paper highlights the importance of understanding the Sino-Indian rivalry in Sri Lanka's economic turmoil for regional security and India's defense cooperation. [ABSTRACT FROM AUTHOR]

Rice (Oryza sativa L.) is thought to have been domesticated many times independently in China and India, and many modern cultivars are available. All rice tissues are rich in specialized metabolites (SPMs). To date, a total of 181 terpenoids, 199 phenolics, 41 alkaloids, and 26 other types of compounds have been detected in rice. Some volatile sesquiterpenoids released by rice are known to attract the natural enemies of rice herbivores, and play an indirect role in defense. Momilactone, phytocassane, and oryzalic acid are the most common diterpenoids found in rice, and are found at all growth stages. Indolamides, including serotonin, tryptamine, and N-benzoylserotonin, are the main rice alkaloids. The SPMs mainly exhibit defense functions with direct roles in resisting herbivory and pathogenic infections. In addition, phenolics are also important in indirect defense, and enhance wax deposition in leaves and promote the lignification of stems. Meanwhile, rice SPMs also have allelopathic effects and are crucial in the regulation of the relationships between different plants or between plants and microorganisms. In this study, we reviewed the various structures and functions of rice SPMs. This paper will provide useful information and methodological resources to inform the improvement of rice resistance and the promotion of the rice industry. [ABSTRACT FROM AUTHOR]

Identifying and quantifying the sources of climate impacts from land use and land cover change (LULCC) is necessary to optimize policies regarding LULCC for climate change mitigation. These climate impacts are typically defined relative to emissions of CO2, or sometimes emissions of other long-lived greenhouse gases. Here we use previously published estimates of the radiative forcing (RF) of LULCC that include the short-lived forcing agents O3 and aerosols, in addition to long-lived greenhouse gases and land albedo change, for six projections of LULCC as a metric for quantifying climate impacts. The LULCC RF is attributed to three categories of LULCC activities: direct modifications to land cover, agriculture, and wildfire response, and sources of the forcing are ascribed to individual grid points for each sector. Results for the year 2010 show substantial positive forcings from the direct modifications and agriculture sectors, particularly from India, China, and southeast Asia, and a smaller magnitude negative forcing response from wildfires. The RF from direct modifications, mainly deforestation activities, exhibits a large range in future outcomes for the standard future scenarios implying that these activities, and not agricultural emissions (which lead to more consistent RFs between scenarios), will drive the LULCC RF in the future. We show that future forest area change can be used as a predictor of the future RF from direct modification activities, especially in the tropics, suggesting that deforestation-prevention policies that 20 value land based on its C-content may be particularly effective at mitigating climate forcing originating in the tropics from this sector. Although, the response of wildfire RF to tropical land cover changes is not as easily scalable and yet imposes a non-trivial feedback onto the total LULCC RF. [ABSTRACT FROM AUTHOR]

This paper uses cointegrated error-correction modeling to investigate the nature of Granger causality between corruption and foreign direct investment (FDI) in two rapidly emerging economic superpowers; namely, China and India. The results for China and India indicate that short-run Granger causality unidirectionally runs from FDI to corruption without feedback. These empirical findings (along with supporting theoretical arguments) dispute prior correlational-based studies which claim that corruption instigates changes in FDI. However, our results further support significant long-run causality running from corruption to FDI inflows, but only in India (not in China). This finding reinforces theoretical propositions of lower corruption arbitrariness in China as compared to India. Furthermore, short- and long-run causality between corruption and FDI in India appear dynamic in nature and time-sensitive implying some difficulties for policymakers in their fight against corruption. The paper discusses possible underlying reasons for the empirical results and draws several policy and Asian business implications. [ABSTRACT FROM AUTHOR]

The Qinghai–Tibet Plateau is a unique global natural geographical unit with a high altitude and fragile ecology, where land cover change has been affecting its regional ecological security and sustainable development. The plateau covers nine countries with different variations in climate change and human activities, which cause significant spatial variations in its land cover change. This paper uses land cover data to reveal the spatiotemporal characteristics and multi-country differences in land cover change on the Qinghai–Tibet Plateau from 1992 to 2020 by applying spatiotemporal characteristic analysis and mapping methods. The results show that grassland (65.70%), bare land (15.56%), and woodland (10.25%) are the main types of land cover on the plateau, accounting for 91.51% of the total area. The interconversion of bare land and grassland was dominant in 1992–2020, with an area share of 67.83%. The turning point year of grassland change occurred in 2015. The grassland area increased by 6312 km2 in 1992–2015, while it decreased by 14,646 km2 in the plateau in 2015–2020. The areas of woodland, cropland, and water increased by 2.77%, 5.85%, and 7.57%, respectively, and the area of built-up land increased from 299.17 km2 to 1206.29 km2. Overall, a warming and wetting trend of the climate in the Qinghai–Tibet Plateau has driven the expansion of natural vegetation and water in the central plateau within China, with its natural vegetation area increasing by 0.11%. However, the development of regional warming and drying caused local grassland degradation, where Kyrgyzstan and India within the Qinghai–Tibet Plateau experienced the most prominent vegetation degradation. Human activities are relatively frequent in the Qinghai–Tibet Plateau within China and India, causing higher growth rates of built-up land and cropland than in other countries. The establishment of reserves and effective forest management policies have led to significant increases in woodland areas in China and Nepal within the plateau, while weak forest management and limited investment in forest conservation have led to high rates of deforestation in India and Myanmar. Accelerated temperature rises and regional differences in precipitation are the main drivers of large-scale land cover change on the plateau and differences in human activities and land use policies are responsible for the dramatic and diverse localized land cover change. [ABSTRACT FROM AUTHOR]

Border issues, such as sovereignty, territorial claims, and security, play a significant role in transboundary river management. Borders can act as physical barriers that impede cooperation and coordination, and disputes over ownership and control of river resources can exacerbate tensions and lead to conflicts. Transboundary river management is a complex and critical issue that has gained increasing attention in recent years. The management of rivers that cross international borders raises numerous challenges, including political, economic, social, and environmental concerns. Effective management requires the cooperation of all countries sharing the river basin, and it involves the development of legal and institutional frameworks that promote sustainable use, equitable sharing, and peaceful resolution of conflicts. This paper aims to explore the intricate relationship between India's persistent border disputes with China and their far-reaching implications for the management of transboundary rivers. Their unresolved territorial disputes have profound implications for the shared river basins, such as the Brahmaputra Basin, and pose significant challenges to the implementation of effective transboundary river management strategies. Through an interdisciplinary examination of historical, geopolitical, and hydrological factors, this study sheds light on the multifaceted dimensions of India's border disputes with China and elucidates their detrimental impacts on the use of transboundary river resources. [ABSTRACT FROM AUTHOR]

A bibliometric analysis using the Scopus database was performed to investigate the research documents published from 1990 to 2019 in scientific sources related to molybdenum in drinking water and determine the quantitative characteristics of the research in this period. The results from the analysis revealed that the number of publications was maintained at a regular production of around 5 papers per year until 2009, followed by a fast linear increase in the production in the period from 2010 to 2016 (29 papers in 2016), but the scientific production regarding this topic was reduced in 2017 and 2018 to recover the production obtained in 2016 once again in 2019. The total contribution of the three most productive countries (USA, China and India, respectively) accounted for around 50% of the total number of publications. Environmental Science was the most common subject (51.4% contribution), followed by Chemistry (26.7% contribution). The research efforts targeted toward the search for technical solutions for molybdenum removal from water are not as important as the ones focused on the identification of molybdenum-polluted water bodies and the analysis of the health effects of the intake of molybdenum. Nevertheless, examples of technological treatments to remove molybdenum from the aqueous solution include the use of adsorption and ion exchange; coagulation, flocculation and precipitation followed by filtration; membrane technologies and biological treatments. [ABSTRACT FROM AUTHOR]

India has failed to develop merchandise exports as China has. The Indian government is aware of this challenge and hence has created a specific plan for the industry called Plan 2025 to benchmark Chinese reforms. However, Plan 2025 fails to enhance the industry at this stage. This paper examines how some successful economic reforms in China did not have the desired impact in India. This paper shows that some key success factors of the Chinese experience have deliberately not been included in India (absence of agglomeration effect with emerging neighbours, rent capture behaviour at a political level, same focus on IT & service instead of manufacturing from the SEZs, absence of upgrade to the current Chinese reforms). Still more significantly, there were policy mistakes. The Indian willingness to focus on knowledge generation for the manufacturing sector (as it has always done for IT & services) instead of on knowledge exploitation as China did, prevented India from using the backwardness advantage to obtain technology transfer and spillover to the rest of the economy. Therefore, this paper makes some recommendations for Indian policy-makers on how to improve the current flaws detected in the application of some Chinese economic reforms. As there is a need for state level analysis, the methodology consisted in comparing the past economic history and trajectories of two Indian States (Gujarat & Karnataka) with two Chinese Deltas (Yangtze River and Pearl River) using the approaches of the regional innovation systems (RIS) and the regional entrepreneurial ecosystems (REE). [ABSTRACT FROM AUTHOR]

Open-cast coal mining is one of the most often-debated industries in the world. Due to the significant environmental and health issues it causes, many of these sites have been reclaimed over the years, and many scientific publications and research has followed. In this paper, we have tried to assess the trends in recent research performed on reclaimed coal mining sites (RMS) by analyzing the publications visible on Web of Science (WoS) between 2015 and 2020 and dividing the research into six categories. The results show that there is a trend of rapid increase in research that deals with carbon and its pooling, nutrients, vegetation, and microbiology, and a significant decline in research on RMS soil physical properties, whereas other categories have shown an increasing but relatively steady trend. The application of modern technologies is also discussed. China, the USA, and India are the countries that quantitatively take the lead in coal RMS research, with India slowly overtaking the US in more recent years. [ABSTRACT FROM AUTHOR]

Over the last decades, China has rapidly increased its influence throughout the South Asian region, using both its hard and soft power tactics. China has succeeded in eclipsing India's influence and emerged as an important player in the region. China is making inroads in South Asia by making huge investments and constructing roads, highways, railways, sea ports, bridges, power grids, dams, and public buildings. China is pursuing a foreign policy that aims to advance its strategic and economic interests while trying to imbalance India's predominant position and contain India within the boundaries of South Asia. This is to prevent the rise of a peer competitor that can challenge or hinder the rise of China as a sole Asian power. This paper argues that the geostrategic situation of South Asian countries is such that they pose threats to India's security by aligning with the extra-regional powers. Hence, China's expanding strategic and security ties with South Asian countries have wider implications for India's security due to the complex and sensitive nature of its relationship with China. The theoretical approach of Power Transition Theory has been utilized to analyze the Sino-India power rivalry and China's growing threat to India's security. [ABSTRACT FROM AUTHOR]

This research paper investigates the evolving defense cooperation between India and Japan in the context of the strategic landscape in the Indo-Pacific region, particularly considering China's rise. The existing literature recognizes China's increasing influence as a significant factor in India-Japanese security cooperation, but tends to overlook the dynamics behind India's shifting stance. The study reveals that India initially hesitated to actively engage in anti-China security cooperation with Japan until the mid-2010s, but later adopted a more proactive partnership. An analysis of policy documents, political speeches, and government records attributes India's initial reluctance to its commitment to non-alignment and strategic autonomy, its desire to balance relations with both China and Japan, and its domestic political priorities favoring economic development over military expansion or strategic alliances. However, growing concerns over China's assertiveness, military modernization, a change in political leadership, and the Quad's development as a regional security platform have prompted India's attitude shift. The research's recommendations not only offer a roadmap for India, Japan, and other Indo-Pacific countries with deep economic ties to China, but also help combat China's military threats to contribute to regional stability and security, address common challenges, and foster a peaceful and prosperous Indo-Pacific region. [ABSTRACT FROM AUTHOR]

Energy storage ceramics is among the most discussed topics in the field of energy research. A bibliometric analysis was carried out to evaluate energy storage ceramic publications between 2000 and 2020, based on the Web of Science (WOS) databases. This paper presents a detailed overview of energy storage ceramics research from aspects of document types, paper citations, h-indices, publish time, publications, institutions, countries/regions, research areas, highly cited papers, and keywords. A total of 3177 publications were identified after retrieval in WOS. The results show that China takes the leading position in this research field, followed by the USA and India. Xi An Jiao Tong Univ has the most publications, with the highest h-index. J.W. Zhai is the most productive author in energy storage ceramics research. Ceramics International, Journal of Materials Science-Materials in Electronics, and the Journal of Alloys and Compounds are the most productive journals in this field, and materials science—multidisciplinary is the most frequently used subject category. Keywords, highly cited papers, and the analysis of popular papers indicate that, in recent years, lead-free ceramics are prevalent, and researchers focus on fields such as the microstructure, thin films, and phase transition of ceramics. [ABSTRACT FROM AUTHOR]

At the changing geopolitical landscape with the Covid-19 pandemic scenario, the China-India tussle and scale of regional and global exposition has begun to display with certain consequences, which seems to shake the existing regional balance of power. A mounting political and military confrontation between these two powers as experts suggested could create a hurdle on regional-global stability and can strike on the path of globalization. With historical and existing context analysis, this paper explores that putting genuine differences aside, China and India being responsible stakeholders of the global community, can cooperate and contribute to regional and global peace and prosperity. This paper is based on qualitative research and explorative form in a pattern. This paper concludes that to reduce protracted political and border-related tensions, continuous institutional dialogue, regular communication, and formal-informal exchanges could be effective tools for a peaceful resolution. At this juncture, the competition and cooperation approach could be useful for fostering China-India bilateral relations, and this situation will help to address common challenges of the global community, restructure the global order, and re-adjust regional and global scenarios crippled by the Covid-19 pandemic. [ABSTRACT FROM AUTHOR]

Background WHO estimates that seasonal influenza epidemics result in three to five million cases of severe illness (hospitalisations) every year. We aimed to improve the understanding of influenza-associated hospitalisation estimates at a national and global level. Methods We performed a systematic literature review of English- and Chinese-language studies published between 1995 and 2020 estimating influenza-associated hospitalisation. We included a total of 127 studies (seven in Chinese) in the meta-analysis and analyzed their data using a logit-logistic regression model to understand the influence of five study factors and produce national and global estimates by age groups. The five study factors assessed were: 1) the method used to calculate the influenza-associated hospitalisation estimates (rateor time series regression-based), 2) the outcome measure (divided into three envelopes: narrow, medium, or wide), 3) whether every case was laboratory-confirmed or not, 4) whether the estimates were national or sub-national, 5) whether the rates were based on a single year or multiple years. Results The overall pooled influenza-associated hospitalisation rate was 40.5 (95% confidence interval (CI) = 24.3-67.4) per 100 000 persons, with rates varying substantially by age: 224.0 (95% CI = 118.8-420.0) in children aged 0-4 years and 96.8 (95% CI = 57.0-164.3) in the elderly aged >65 years. The overall pooled hospitalisation rates varied by calculation method; for all ages, the rates were significantly higher when they were based on rate-based methods or calculated on a single season and significantly lower when cases were laboratory-confirmed. The national hospitalisation rates (all ages) varied considerably, ranging from 11.7 (95% CI = 3.8-36.3) per 100 000 in New Zealand to 122.1 (95% CI = 41.5-358.4) per 100 000 in India (all age estimates). Conclusions Using the pooled global influenza-associated hospitalisation rate, we estimate that seasonal influenza epidemics result in 3.2 million cases of severe illness (hospitalisations) per annum. More extensive analyses are required to assess the influence of other factors on the estimates (e.g. vaccination and dominant virus (sub)types) and efforts to harmonize the methods should be encouraged. Our study highlights the high rates of influenza-associated hospitalisations in children aged 0-4 years and the elderly aged 65+ years. [ABSTRACT FROM AUTHOR]

In rural areas with higher agricultural energy consumption, ensuring low-carbon transformation and rapid penetration is crucial; therefore, the importance of rural energy system in energy transformation is even more prominent. In order to better understand the research progress of rural integrated energy system, the existing structure of rural energy system and design method are briefly introduced, and the bibliometric method is applied to analyze publications from 2013 to 2023. Based on the Scopus database, 915 publications have been retrieved. These publications are analyzed from the perspective of citation, author, address, and published journal. It is concluded that existing researches mostly use conventional energy technologies to achieve power supply in rural areas, lacking analysis of the potential application of emerging energy technologies and research on multi-energy demand. Furthermore, the review reveals the economy of grid-connected rural energy system is mainly related to geographical location, system configuration, and resource endowment. The bibliometric analysis indicated that these publications are mainly from India and China; the average citation is 24.98, and each article is co-published by 3.66 authors, 2.26 institutes, and 1.46 countries. This work is helpful for scholars to understand the research status on the rural integrated energy system. [ABSTRACT FROM AUTHOR]

The paper examines the sustainable consumption behavior of two emerging countries, China and India. The conceptual framework incorporates egoistic value, social consumption motivation, altruistic values (stimulus factors), pro‐environmental self‐identity, attitude (mediators and organism factors), sustainable consumption behavior (response factor), and environmental protection emotion as a moderating factor, using stimulus‐organism‐response theory. We collected 658 original survey data from China (n = 337) and Indian (n = 321) customers via convenience and purposive sampling methods and analyzed the data with structural equation modeling. Intriguingly, the results show that (a) stimulus factors such as egoistic and altruistic values and social consumption motivation had a positive influence on pro‐environment self‐identity and attitude and sustainable consumption behavior in both countries, (b) pro‐environment self‐identity had a positive effect on the attitude of both countries' consumers (c) while mediation factors (pro‐environment self‐identity and attitude) had a significantly positive mediation relationship between stimulus and response factors, and (d) environmental protection emotion significantly moderated the relationship between stimulus, organism factors, and response factors of two countries. The study contributes to the current body of knowledge in sustainable marketing by examining the rapidly growing phenomenon of sustainable consumer behavior in two Asian countries. [ABSTRACT FROM AUTHOR]

Depressive disorders (including major depressive disorder and dysthymia) and anxiety (generalized anxiety disorder or GAD) disorders are the two most prevalent mental illnesses. Early diagnosis of these afflictions can lead to cost-effective treatment with a better outcome prospectus. With the advent of digital technology and platforms, people express themselves by various means, such as social media posts, blogs, journals, instant messaging services, etc. Text remains the most common and convenient form of expression. Therefore, it can be used to predict the onset of anxiety and depression. Scopus and Web of Science (WoS) databases were used to retrieve the relevant literature using a set of predefined search strings. Irrelevant publications were filtered using multiple criteria. The research meta data was subsequently analyzed using the Biblioshiny Tool of R. Finally, a comparative analysis of most suitable documents is presented. A total of 103 documents were used for bibliometric mapping in terms of research outcome over the past years, productivity of authors, institutions, and countries, collaborations, trend topics, keyword co-occurrence, etc. Neural networks and support vector machines are the most popular ML techniques; word embeddings are extensively used for text representations. There is a shift toward using multiple modalities. SVM, Naive Bayes, and LSTM are the most used ML methods; social media is the most used source of data (Twitter is the most common platform); and audio is the most used modality that is combined with text for depressive and anxiety disorders (DAD) detection. Text data provides good cues for the detection of DAD using machine learning. However, the findings in most of the cases are based on a limited amount of data. Using large amounts of data with other modalities can help develop more generalized DAD-detection systems. Asian countries are leading in the research output with China and India being the top countries in terms of the number of research publications. However, more international collaborations are needed. Limited research exists for anxiety disorders. Co-occurrence of anxiety and depressive disorders is high (33% of studies). [ABSTRACT FROM AUTHOR]

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Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of blindness worldwide. In order to slow down or prevent vision loss and degeneration, early detection and treatment are essential. For the purpose of detecting and classifying diabetic retinopathy on fundus retina images, numerous artificial intelligence-based algorithms have been put forth by the scientific community. Due to its real-time relevance to everyone's lives, smart healthcare is attracting a lot of interest. With the convergence of IoT, this attention has increased. The leading cause of blindness among persons in their working years is diabetic eye disease. Millions of people live in the most populous Asian nations, including China and India, and the number of diabetics among them is on the rise. To provide medical screening and diagnosis for this rising population of diabetes patients, skilled clinicians faced significant challenges. Our objective is to use deep learning techniques to automatically detect blind spots in eyes and determine how serious they may be. We suggest an enhanced convolutional neural network (ECNN) utilizing a genetic algorithm in this paper. The ECNN technique's accuracy results are compared to those of existing approaches like the K-nearest neighbor approach, convolutional neural network, and support vector machine with the genetic algorithm. [ABSTRACT FROM AUTHOR]

The aim of this paper is to highlight how TROPOspheric Monitoring Instrument (TROPOMI) trace gas data can best be used and interpreted to understand event-based impacts on air quality from regional to city scales around the globe. For this study, we present the observed changes in the atmospheric column amounts of five trace gases (NO 2 , SO 2 , CO, HCHO, and CHOCHO) detected by the Sentinel-5P TROPOMI instrument and driven by reductions in anthropogenic emissions due to COVID-19 lockdown measures in 2020. We report clear COVID-19-related decreases in TROPOMI NO 2 column amounts on all continents. For megacities, reductions in column amounts of tropospheric NO 2 range between 14 % and 63 %. For China and India, supported by NO 2 observations, where the primary source of anthropogenic SO 2 is coal-fired power generation, we were able to detect sector-specific emission changes using the SO 2 data. For HCHO and CHOCHO, we consistently observe anthropogenic changes in 2-week-averaged column amounts over China and India during the early phases of the lockdown periods. That these variations over such a short timescale are detectable from space is due to the high resolution and improved sensitivity of the TROPOMI instrument. For CO, we observe a small reduction over China, which is in concert with the other trace gas reductions observed during lockdown; however, large interannual differences prevent firm conclusions from being drawn. The joint analysis of COVID-19-lockdown-driven reductions in satellite-observed trace gas column amounts using the latest operational and scientific retrieval techniques for five species concomitantly is unprecedented. However, the meteorologically and seasonally driven variability of the five trace gases does not allow for drawing fully quantitative conclusions on the reduction in anthropogenic emissions based on TROPOMI observations alone. We anticipate that in future the combined use of inverse modeling techniques with the high spatial resolution data from S5P/TROPOMI for all observed trace gases presented here will yield a significantly improved sector-specific, space-based analysis of the impact of COVID-19 lockdown measures as compared to other existing satellite observations. Such analyses will further enhance the scientific impact and societal relevance of the TROPOMI mission. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to identify the impact of economic integration on trade competitiveness and demonstrate its effects on trade and investment performance of member nations. Design/methodology/approach: The study compiles some price indices to provide a systematic assessment of competitiveness in the BRICS region. The panel regression framework estimates the impact of integration on trade competitiveness and the external sector performance of BRICS nations. Findings: The findings of the research highlight the prospects for strong, closer and sustained integration in BRICS and, more importantly, the contribution of competitiveness to FDI receipts and export growth. Research limitations/implications: The assessment of exports and investment experiences of BRICS nations, particularly China and India, provides further evidence in support of the logical design and strategic use of their foreign trade policies. Originality/value: The economic partnership that wants to sustain this high road to global economic space needs strategic orientations to promote their partnership in other interest areas to make the cooperation more competitive in price terms. [ABSTRACT FROM AUTHOR]

India and China are the biggest developing economies in the world apart from being the most populous nations. The population of China is expected to increase over 1.4 billion by 2050, and India may over take China and become the most populous nation at around 1.6 billion populace. These two nations are home to about 40 % of the total population in the world. Apart from this, India and China have attained remarkable success in the economic growth denoted by higher gross domestic product (GDP). The two nations together contribute about one-fifth of the world GDP. This paper discusses about the changes in the energy consumption pattern of developing countries like China and India aiming towards the sustainable development. Furthermore, this paper also analyses the most important drivers adding to the ecological problems, and gives a further glance at the ecological impacts of these in India and China. Over the last 50-60 years we have been emitting carbon dioxide at an accelerated pace. This has had an effect on the carbon dioxide concentration and other GHG gas concentrations, in the atmosphere. The paper also discusses about the effect of pollutants like NOx, SOx, Particulate matter and Mercury on the environment. [ABSTRACT FROM AUTHOR]

While much of the literature is preoccupied with China's leading role in reshaping the rules of global economic governance through various mechanisms such as the Asian Infrastructure Investment Bank (AIIB) and New Development Bank (NDB) among others, the significance of India in these efforts is considered secondary to China. In comparison to China, India not only provides a democratic aperture but also facelifts institutional values and make the institutions more multilateral to be approached by developing countries which are otherwise skeptical of China's rise. In addition, India's membership also reinforces the foundations of these institutions where sustained economic growth is the key principle. The paper attempts to examine how India and China contribute to the success of these mechanisms in terms of monetary funding and the role of public financial entities from respective countries and negotiations. With slowing down of economies of major developing countries like Brazil, South Africa and Russia, China and India are left with major responsibility to keep the pace of multilateral economic cooperation undeterred. It is interesting to see how stable, participative and transparent this transformed economic governance would emerge in the coming decades. The paper also looks at possible setbacks it may face in terms of competitive trends between India and China's economy for resources such as energy in the countries involved in these negotiations. The institutions like AIIB and NDB need to overcome the biases deep rooted in bilateral relations, and seek wider cooperation needed to outperform the sense of competitiveness. [ABSTRACT FROM AUTHOR]

Background: Psychiatric disorders are reported to be present in 80% to 90% of suicide deaths in high-income countries (HIC), but this association is less clear in low- and middle-income countries (LMIC). There has been no previous systematic review of this issue in LMIC. The current study aims to estimate the prevalence of psychiatric morbidity in individuals with suicidal behaviour in LMIC. Methods and findings: PubMed, PsycINFO, and EMBASE searches were conducted to identify quantitative research papers (any language) between 1990 and 2018 from LMIC that reported on the prevalence of psychiatric morbidity in suicidal behaviour. We used meta-analytic techniques to generate pooled estimates for any psychiatric disorder and specific diagnosis based on International classification of disease (ICD-10) criteria. A total of 112 studies (154 papers) from 26 LMIC (India: 25%, China: 15%, and other LMIC: 60%) were identified, including 18 non-English articles. They included 30,030 individuals with nonfatal suicidal behaviour and 4,996 individuals who had died by suicide. Of the 15 studies (5 LMIC) that scored highly on our quality assessment, prevalence estimates for psychiatric disorders ranged between 30% and 80% in suicide deaths and between 3% and 86% in those who engaged in nonfatal suicidal behaviour. There was substantial heterogeneity between study estimates. Fifty-eight percent (95% CI 46%–71%) of those who died by suicide and 45% (95% CI 30%–61%) of those who engaged in nonfatal suicidal behaviour had a psychiatric disorder. The most prevalent disorder in both fatal and nonfatal suicidal behaviour was mood disorder (25% and 21%, respectively). Schizophrenia and related disorders were identified in 8% (4%–12%) of those who died by suicide and 7% (3%–11%) of those who engaged in nonfatal suicidal behaviour. In nonfatal suicidal behaviour, anxiety disorders, and substance misuse were identified in 19% (1%–36%) and 11% (7%–16%) of individuals, respectively. This systematic review was limited by the low number of high-quality studies and restricting our searches to databases that mainly indexed English language journals. Conclusions: Our findings suggest a possible lower prevalence of psychiatric disorders in suicidal behaviour in LMIC. We found very few high-quality studies and high levels of heterogeneity in pooled estimates of psychiatric disorder, which could reflect differing study methods or real differences. There is a clear need for more robust evidence in order for LMIC to strike the right balance between community-based and mental health focussed interventions. Duleeka Knipe and co-workers study associations between psychiatric disorders and suicidal behaviour in low- and middle-income countries. Author summary: Why was the study done?: Approximately 800,000 people die by suicide each year, with 75% of these deaths occurring in low- and middle-income countries (LMIC). Psychiatric disorder is thought to be associated with 80% to 90% of those who engage in suicidal behaviour in high-income countries (HIC), but this association is less clear in LMIC. A better understanding is needed of this association in LMIC to ensure effective and appropriate allocation of limited resources. What did the researchers do and find?: We searched the existing literature for studies conducted in LMIC that estimated the proportion of individuals who engaged in suicidal behaviour with psychiatric disorders and found 112 studies from 26 countries (mainly from China and India). Even in the higher quality studies, there was wide variability in the proportion of psychiatric disorders in fatal (30%–80%) and nonfatal (3%–86%) suicidal behaviour, but on average, 58% of those who died by suicide and 45% of those who engaged in nonfatal suicidal behaviour had a psychiatric disorder. Mood disorders were the most prevalent disorder identified in both fatal and nonfatal suicidal behaviour. What do these findings mean?: There were considerable differences in the estimates of psychiatric disorder between studies. This may reflect differences in the way studies were carried out or real differences, but there were too few high-quality studies to estimate the prevalence by individual country. More high-quality research is needed. Psychiatric disorders may be less common in suicidal behaviour in LMIC than in HIC. Although treating psychiatric illness is important, the treatment and prevention of suicidal behaviour should include a wider range of activities. [ABSTRACT FROM AUTHOR]

The basic story of global inequality in the last three decades has been an overall decline, but one which is composed of quite intricate patterns. There has been a decline in between-country inequality as China and India have grown relative to the US and other rich countries. This has been accompanied by an increase in within-country inequality, but this is itself composed of rising inequality in some countries such as China, India, and the US, and declining inequality in other countries, including large economies in Latin America. Section II of the paper reviews these patterns, highlighting country diversity to make the central point that policy matters. Section III addresses a normative question—what relative weight should be given to within-country and between-country inequality in making an overall global assessment? This section brings on board recent philosophical discourse, including on inequality of opportunity in a global frame. Section IV returns to the 'policy matters' theme and takes up global constraints on national redistribution policy in a globalized world: for example, a race to the bottom on taxation to attract and keep capital and talent, and possible global institutional responses to alleviate these constraints. [ABSTRACT FROM AUTHOR]

India's pharmaceutical sector has been one of the largest manufacturers of generic drugs globally. During the pandemic, most countries were dependent on imports of generic drugs from India. However, India has been relying on resources from China for Active Pharmaceutical Ingredients (APIs) which are the raw material for preparing generic drugs. We considered, in our analysis, branded product groups of Paracetamol and Amoxicillin due to their extensive use in the treatment of COVID-19. From a thorough market analysis of both the drugs, we conclude that firms have a monopoly over their brands but compete within the same product group and operate in their respective market under varying prices within certain bandwidths which resembles the feature of monopolistic competitive market. We have introduced compensating function a la Helpman (1981) in the pharmaceutical goods market with the assumption that an 'ideal product' exists among the pharmaceutical goods. Given the framework, this paper explores a general equilibrium model set in a monopolistic competitive product market for branded drugs. We concluded through our propositions that expanding the pharmaceutical sector will increase the employment of unskilled labor under no capacity constraint. We will observe an increase in wages of unskilled labor only under full employment conditions wherein we would observe that the expansion of pharmaceutical good will increase wages in the unskilled labor market. However we obtain an intriguing result wherein we obtain that despite instances of limiting trade dependence on China through implementation of policies like 'Aatmanirbhar Bharat' and 'profit linked incentive schemes', yet to maintain the status quo in the global market for generic drugs, India's dependence on China would increase, owing to API imports due to the pandemic crisis. While India can grab the opportunity in the form of increased demand for pharmaceutical goods to increase the employment level of the economy but this improvement in welfare is also dependent on the degree of dependency of API India has on China. The Indian government has recognized the same through the incorporation of 'Covid-Suraksha' and PLI schemes to minimize import dependency, and accelerate the development of APIs and the production of indigenous drugs. [ABSTRACT FROM AUTHOR]

INTRODUCTION The World Health Organization recommends banning all forms of e-cigarette advertising, promotion, and sponsorship. The aims of the present study were to: 1) examine young people's exposure to e-cigarette advertising across a wide range of media in four diverse countries; and 2) identify any association between the number of different types of media exposures and e-cigarette use. METHODS A cross-sectional online survey was administered to approximately 1000 people aged 15-30 years in Australia, China, India, and the United Kingdom (n=4107). The survey assessed demographic characteristics, e-cigarette and tobacco use, numbers of friends and family members who vape, and exposure to multiple forms of e-cigarette advertising (e.g. television, radio, print, and various types of social media). Descriptive analyses were conducted on those who had heard of e-cigarettes (n=3095, significance threshold p<0.001) and a logistic regression analysis was used to identify factors associated with e-cigarette ever use (significance threshold p<0.05). RESULTS The majority (85%) of respondents who had heard of e-cigarettes reported being exposed to e-cigarette advertising on at least one type of media, and the average number of types of media to which respondents were exposed was 5 (range: 0-17). The number of media types was significantly associated with ever use of e-cigarettes (OR=1.05; 95% CI: 1.02-1.08, p=0.001). CONCLUSIONS Despite advertising restrictions in place in all four countries, large majorities of young people reported being exposed to e-cigarette advertising. Social media and advertising on/around vape shops and other retailers appear to be key exposure locations. Urgent attention is needed to address these forms of exposure given their apparent association with e-cigarette use. [ABSTRACT FROM AUTHOR]

A major hurdle in pediatric formulation development is the lack of safety and toxicity data on some of the commonly used excipients. While the maximum oral safe dose for several kinds of excipients is known in the adult population, the doses in pediatric patients, including preterm neonates, are not established yet due to the lack of evidence-based data. This paper consists of four parts: (1) country-specific perspectives in different parts of the world (current state, challenges in excipients, and ongoing efforts) for ensuring the use of safe excipients, (2) comparing and contrasting the country-specific perspectives, (3) past and ongoing collaborative efforts, and (4) future perspectives on excipients for pediatric formulation. The regulatory process for pharmaceutical excipients has been developed. However, there are gaps between each region where a lack of information and an insufficient regulation process was found. Ongoing efforts include raising issues on excipient exposure, building a region-specific database, and improving excipient regulation; however, there is a lack of evidence-based information on safety for the pediatric population. More progress on clear safety limits, quantitative information on excipients of concern in the pediatric population, and international harmonization of excipients' regulatory processes for the pediatric population are required. [ABSTRACT FROM AUTHOR]

Within the spirit of conspiration, this article brings together contributions from participants of the PhD-led UCL Reading and React Group 'Colonialism(s), Neoliberalism(s) and Language Teaching and Learning', which ran in 2019/20. Weaving together various perspectives, the article centres on the dialogic nature of the decolonial enterprise and challenges the colonial concept of monologic authorial voice. Across the reflections on participants' own engagements with questions of decolonising language teaching and learning, we pull together three threads: the inherent coloniality of the concepts that shape the very disciplines we seek to decolonise; the need to place decolonial efforts within broader contexts and to be sceptical of projects claiming to have completed the work of decolonising language teaching and learning; and the affordances and limitations offered to us by our positionalities, which the reflexivity of the conspirational encounter has allowed us to explore in some depth. The article closes with a reflection on the process of writing this article, and with the assertion that decolonising the curriculum is a multifaceted and open-ended process of dialogue and conspiration between practitioners and researchers alike.

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 paper compares the population transition in China and India during 1950-2015 by decomposing population growth into the growth attributed to the changes in fertility and mortality (intrinsic growth), and the growth attributed to the change in population age composition (momentum growth). The analysis reveals similarities and differences in the population transition path followed by the two countries and suggests that India lags behind China by about 30 years in terms of population transition. The population transition in China has been rapid and inconsistent, while India’s population transition has been slow and consistent. The momentum for growth intrinsic to respective populations has been the main contributor to population growth in both countries. The demographic dividend resulting from population transition in India has been substantially smaller than that in China because of differences in population transition paths. Unlike in China, population transition appears to have contributed only marginally to economic growth in India. This paper emphasises the importance of focussing population policy on the relative contribution of different demographic drivers to population growth. [ABSTRACT FROM AUTHOR]

• Study analyzes 1374 papers on sensitivity analysis in Scopus. • RStudio, CiteSpace, and VOSviewer are used. • China has most articles published; India leads in international cooperation. • Top three cited journals: J. Clean. Prod., Expert Syst. Appl., and Comput. Ind. Eng. • Most cited authors are Pamučar D, Kahraman C, and Zavadskas EK. In the present era, the implementation of scientifically grounded Multi-Criteria Decision Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges across various domains. Although a substantial body of exploratory, conceptual, and experimental studies exists, only 9.457% studies have incorporated sensitivity analyses to assess the robustness of MCDM methods. An exhaustive scientific exploration of sensitivity analysis within the scope of MCDM is thus lacking. This research aims to address this gap through Bibliometric Analysis while examining 1374 articles published between January 2000 and March 2023 from the Scopus database. Using RStudio (Biblioshiny), CiteSpace, and VOSviewer software, the study constructs a visual representation of the most prolific countries, institutions, and authors. Impressively, China takes the lead in article publications, while India excels in international collaboration. "An extended TODIM multi-criteria group decision-making method for green supplier selection in an interval type-2 fuzzy environment," featured in the Journal of Environmental Management, emerges as the most cited paper with a total citation of 455. The study also identifies the top three most cited journals, namely "Journal of Cleaner Production," "Expert Systems With Applications," and "Computers and Industrial Engineering." "North China Electric Power University" is the leading institute with the highest research outputs. "Pamučar D" is the most cited author, with 2594 citations and 39 articles, followed by "Kahraman C" and "Zavadskas EK. This study sheds light on trends in scientific developments and collaborations, providing a model for the application of sensitivity analysis in MCDM research and highlighting global trends. An understanding of the current state of sensitivity analysis research can assist researchers working in the entire domain of MCDM. Additionally, the visualization provides prescriptive data for future work and applications related to sensitivity analysis. [ABSTRACT FROM AUTHOR]

This paper re-examines the relationships between night-time light (NTL) and gross domestic product (GDP), population, road networks, and carbon emissions in China and India. Two treatments are carried out to those factors and NTL, which include simple summation in each administrative region (total data), and summation normalized by region area (density data). A series of univariate regression and multiple regression experiments are conducted in different countries and at different scales, in order to find the changes in the relationship between NTL and every parameter in different situations. Several statistical metrics, such as R2, Mean Relative Error (MRE), multiple regression weight coefficient, and Pearson's correlation coefficient are given special attention. We found that GDP, as a comprehensive indicator, is more representative of NTL when the administrative region is relatively comprehensive or highly developed. However, when these regions are unbalanced or undeveloped, the representation of GDP becomes weak and other factors can have a more important influence on the multiple regression. Differences in the relationship between NTL and GDP in China and India can also be reflected in some other factors. In many cases, regression after normalization with the administrative area has a higher R2 value than the total regression. But it is highly influenced by a few highly developed regions like Beijing in China or Chandigarh in India. After the scale of the administrative region becomes fragmented, it is necessary to adjust the model to make the regression more meaningful. The relationship between NTL and carbon emissions shows obvious difference between China and India, and among provinces and counties in China, which may be caused by the different electric power generation and transmission in China and India. From these results, we can know how the NTL is reflected by GDP and other factors in different situations, and then we can make some adjustments. [ABSTRACT FROM AUTHOR]

The rise of China in the era of globalization is significant due to its global implications and is attributed to various factors like rapid economic growth, strategic modernization, reconnecting with the Chinese Diaspora, particularly in the west, modernization of its military, and vibrant maritime trade strategy and so on. In the process of sustaining its rise, China has initiated several ambitious plans like the Asia Infrastructure Investment Bank (AIIB) and Belt and Road Initiative (BRI). The BRI is a combination of Silk Road Economic Belt targeting Central Asia and Europe and Maritime Silk Road (MSR) focussed on Southeast, South and North Asian regions. To make this a reality, the Chinese government has already made tremendous efforts to mobilize political, economic and diplomatic resources. However, BRI will not yield great results without the critical role of India. In this context, the paper attempts to identify the guiding factors for China to initiate BRI and its impact on its peaceful rise and the regions. India's response and strategies to BRI is critically analyzed. Finally, the paper also explores the mutual benefits and challenges for both India and China for successful implementation of BRI. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to critically analyze the resources and determinants of capabilities and attributes which enable Indian and Chinese firms to develop competitive advantages. The leading research question asks whether the traditional concept of competitiveness can capture Indian and Chinese firms' competitiveness. Design/methodology/approach: A systematic and comprehensive literature review of 62 studies published between 1994 and 2016 with focus on Indian and Chinese firms is conducted to examine the nature and contextual conditions of their competitiveness, as well as the research methods and underlying theories. Findings: Turning disadvantages into advantages and shifting the points of take-off are the most outstanding findings. Moreover, the majority of 88 per cent of the examined studies concludes that Indian and Chinese firms built nontraditional competitive strengths. Research limitations/implications: Because of the unconventional competitiveness of Indian and Chinese firms, existing theoretical perspectives and research settings need revisions and extensions. Originality/value: Unlike most extant research on India and China, which studies country- or industry-level variables using aggregate data, this paper reveals distinct patterns and similarities and differences of firm-level characteristics. In addition, by exclusively focusing on Indian and Chinese firms' competitiveness, conclusions about their uniqueness and generalizability can be drawn. [ABSTRACT FROM AUTHOR]

The changing population age structure has a significant influence on the economy, society, and numerous other aspects of a country. This paper has innovatively applied the method of compositional data forecasting for the prediction of population age changes of the young (aged 0–14), the middle-aged (aged 15–64), and the elderly (aged older than 65) in China, India, and Vietnam by 2030 based on data from 1960 to 2016. To select the best-suited forecasting model, an array of data transformation approaches and forecasting models have been extensively employed, and a large number of comparisons have been made between the aforementioned methods. The best-suited model for each country is identified considering the root mean squared error and mean absolute percent error values from the compositional data. As noted in this study, first and foremost, it is predicted that by the year 2030, China will witness the disappearance of population dividend and get mired in an aging problem far more severe than that of India or Vietnam. Second, Vietnam’s trend of change in population age structure resembles that of China, but the country will sustain its good health as a whole. Finally, the working population of India demonstrates a strong rising trend, indicating that the age structure of the Indian population still remains relatively “young”. Meanwhile, the continuous rise in the proportion of elderly population and the gradual leveling off growth of the young population have nevertheless become serious problems in the world. The present paper attempts to offer crucial insights into the Asian population size, labor market and urbanization, and, moreover, provides suggestions for a sustainable global demographic development. [ABSTRACT FROM AUTHOR]

The outburst of the pandemic COVID-19 in 2019 from the land of China to the entire world has brought a major change in people's living style. The severity of the disease is so much that more than 20 million people are affected by it worldwide. The recommended preventive measure to avoid the spread of this fatal disease is to maintain social distance leading to a significant economic disruption that could submerge the economies globally. However in order to keep the economies moving, the work from culture is adopted globally wherein the employees are connected via the internet and the work continues to happen. This paper aims to discover how people adopt such an attempt in the working culture. Also, the purpose of the paper is to find out its bearing on the employees' working capacity and whether they would like to continue with this arrangement in the future. The research employs primary data collected from 400 employees across various industries who are currently working from home. The research proposes advantages and challenges in working from home with a majority of employees preferring the method. [ABSTRACT FROM AUTHOR]

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This paper aims to study various fraud occurrences in India and China and their outcomes on the general public. Financial transactions have become easy since the invention of internet, but some miscreants called fraudsters are using it for unlawful activities which causes huge financial losses worldwide every year. The results of this research can be used by financial organizations around the world for customer's awareness and education and also in making better policies for protecting the citizens and bank from financial frauds in respect of financial activities, geographical location and its usage. In both the countries used to conduct research the quotative data is being used to test the fraud occurrence model. The results from this research helps us in understanding different behaviors of customers regarding online transactions and frauds associated with them. It was noted that in China, the satisfaction level of customers was relatively less and service quality was not up to the expected mark in the majority of situations. After conducting this research, the study suggests that a number of areas for improvement in the near future, especially related to fraud detection. If we can research the problems from the financial institution side rather than the consumer's side we can come up with better solutions to frauds as these institutions deal with fraud on a regular basis. The aim of the paper is to create a precise and statistical occurring globally and understanding of various frauds by using three approaches (geographical factors, IT usage and financial activities). [ABSTRACT FROM AUTHOR]

The world's population has reached 8 billion and is projected to reach 9.7 billion by 2050, increasing the demand for food production. Artificial intelligence (AI) technologies that optimize resources and increase productivity are vital in an environment that has tensions in the supply chain and increasingly frequent weather events. This study performed a systemic review of the literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology on artificial intelligence technologies applied to agriculture. It retrieved 906 relevant studies from five electronic databases and selected 176 studies for bibliometric analysis. The quality appraisal step selected 17 studies for the analysis of the benefits, challenges, and trends of AI technologies used in agriculture. This work showed an evolution in the area with increased publications over the last five years, with more than 20 different AI techniques applied in the 176 studies analyzed, with machine learning, convolutional neural networks, IoT, big data, robotics, and computer vision being the most used technologies. Considering a worldwide scope, the countries highlighted were India, China, and the USA. Agricultural sectors included crop management and prediction and disease and pest management. Finally, it presented challenges and trends that are promising when considering the future directions in AI for agriculture. [ABSTRACT FROM AUTHOR]

The study and literature on the Internet of Things (IoT) and its applications in agriculture for smart farming are increasing worldwide. However, the knowledge mapping trends related to IoT applications in plant disease, pest management, and control are still unclear and rarely reported. The primary aim of the present study is to identify the current trends and explore hot topics of IoT in plant disease and insect pest research for future research direction. Peer review articles published from Web of Science (WoS) Core Collection (2010-2021) were identified using keywords, and extracted database was analysed scientifically via Microsoft Excel 2019, VOSviewer and R programming software. A total of 231 documents with 5321 cited references authored by 878 scholars showed that the knowledge on the studied area has been growing positively and rapidly for the past ten years. India and China are the most productive countries, comprising more than half (52%) of the total access database on the subject area in WoS. IoT application has been integrated with other knowledge domains, such as machine learning, deep learning, image processing, and artificial intelligence, to produce excellent crop and pest disease monitoring research. This study contributes to the current knowledge of the research topic and suggests possible hot topics for future direction. [ABSTRACT FROM AUTHOR]

India and China have made sizeable growth in publishing science and engineering research papers in co-authorship with international institutions and patents granted in collaboration with foreign inventors during the period 1997-2012. However, the growth in case of China is much higher in comparison to India. The pace of growth in publishing research papers in co-authorship with international and domestic institutions is more or less the same in case of China, whereas India has shown higher growth in publishing research papers in co-authorship with international institutions in comparison to those with domestic institutions. The share of India and China to research papers published in co-authorship with international institutions increased from 1.8% and 4.1% respectively, in 1997 to 3.5% and 14.7% respectively in 2012. China's share to patents granted in collaboration with foreign inventors increased from 0.94% in 1997 to 13.68% in 2012, compared to an increase of 0.56% to 7.39% in case of India. The analysis shows that China has harnessed the fruit of its international cooperation in S&T to its advantage, as reflected by significant increase in research papers co-authored with international institutions and patents granted in collaboration with foreign inventors in comparison to India. [ABSTRACT FROM AUTHOR]

COVID-19 has transformed higher education learning and teaching practices globally. Tertiary students, internationally face both opportunities and challenges in learning and adapting to this paradigm shift in the delivery of education. It remains unclear how students in international contexts are responding to these changes in digital learning during and post-COVID-19. This paper aims to compare student perceptions of digital competence, confidence, and resilience in present times using data from surveys of tertiary students from Australia, Cambodia, China, India, and Malaysia. There are disparities not only in the teaching and learning pedagogies amongst these countries but also in the levels of technological advancement, infrastructure support, and pace of digital innovation in the delivery of courses. These differences have put in focus students' both digital competencies and resilience as they pursue higher education on various digital learning platforms. Resilience includes the ability to bounce back or adapt from stress (Smith et al., 2008). Digital resilience is students' tech-savviness and preparedness to adapt to different digital environments as they pursue higher education. This paper examines the perceptions of tertiary undergraduate students from these countries in this emerging new digital learning norm. A total of 687 tertiary students from the aforementioned countries participated in a survey to questions related to digital competence, confidence in using and/or adapting to digital innovation, and resilience. Statistically significant attributes are identified to help better understand the challenges these culturally diverse students perceive in digital learning environments. This study will reveal barriers that impact the digital transformation of undergraduate students which can be used to recommend necessary teaching and learning support frameworks to enhance their digital competence and resilience. This will help tertiary institutions better equip all stakeholders in adapting to the new normal of higher education in the future.