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Our project seeks to analyze the interactions and exchanges between China and India in this age of decolonization through the pages of the Nehru Papers. Although the members of our group have all been engaged in the study of China and India, for many of us, the types of documents that comprise the Nehru Papers vary significantly from the kinds of materials we otherwise work on. Some years ago, the Nehru Memorial Museum and Library (NMML) in New Delhi declassified the post-1947 materials within the Jawaharlal Nehru Papers collection. [Extracted from the article]

This paper precisely estimates the looming demand for hydrogen within the transportation sector, spanning 14 pivotal G20 nations from 2022 to 2050, anchored in the global vehicle hydrogen market penetration rate. Employing a robust techno-economic modeling methodology and leveraging Geographic Information System (GIS) for enriched visualization, it unveils distinct environmental dividends across three thoughtfully devised scenarios: Business- as -Usual, Moderate, and Aggressive. Findings herald India and China as pinnacles of hydrogen demand, with South Korea and Japan tailing closely. The study forecasts the energy consumption for solar hydrogen production in G20 countries to oscillate between 3.02 and 2.89 million GWh in 2022, while production costs are anticipated to range from $8.47/kg to $10.01/kg. In an assertive scenario, the paper illuminates a pathway towards achieving a significant CO 2 reduction, unmasking environmental savings of up to a staggering 48%, equivalent to 1.5 million mtCO 2 , by 2050. [Display omitted] • Hydrogen demand of G20 countries is analyzed using GIS and techno-economic models. • The projected adoption rates of hydrogen vary among the G20 countries. • Solar energy is crucial in determining each region's annual energy demand. • China, US, and India have the highest solar potential throughout the year. • The environmental analysis shows 850–1.5 million mtCO2 total emissions by 2050. [ABSTRACT FROM AUTHOR]

Urbanizing villages are erstwhile rural villages that are spatially enveloped and are characterized by their dual relation to the state, which expresses itself as an issue of citizenship; of land ownership; of governance; and building regulations. This paper transcends the current focus on villages in Southern China, by comparing village urbanization between China and India through four narratives of village extensions. Four parallel readings are offered, namely that urban villages are characterized by; shared tenure rooted in their rural past; inherited administrative boundaries that are re-imbued with new legal designations; emulation of traditional practices; and sustained modes of self-governance. [ABSTRACT FROM AUTHOR]

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]

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]

Allelopathy Journal is the official publication of 'Allelopathy Books' that promotes allelopathy research and publish researches related to plant sciences and health sciences. This study aimed to present an insight about the researches published in this journal, to help the Authors, Readers and Editorial team to understand the journal in depth. We analyzed the scholarly publications published in the Allelopathy Journal, their Citations, focussing on other aspects such as Publication output, Citation analysis, Co-authorship patterns, Collaboration networks, Research productivity, Research topics and International collaboration. This study is useful to identify emerging trends and evaluate research impact. The data for the study was extracted from the Scopus Database for the period from 1996 to 2022. The results showed that the journal has published 1209 papers during this period, which received 9826 citations with an average of 8.13 citations per paper. F.Z. Wu was the most prolific author with 22 papers receiving 127 citations and Prof. S.S. Narwal, with second highest papers in the journal, received the highest number of citations (242). China was the most productive country with 425 papers in the journal, followed by India (243 papers). The Chinese Academy of Sciences was the most productive institute in the journal and published 67 papers with 678 citations. A total of 4870 authors have appeared in 1209 papers with 0.91 degree of collaboration and a collaboration index of 4.03. Thematic maps indicated that the topics represented by keywords such as "Distribution", "Habitat", "Essential Oil", "Lettuce", "Morphology," have potential importance for future research. [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]

As primary drivers of global growth, China and India as Asian giants are on the path to reforming their higher education systems to drive innovation. This paper based on both primary and secondary data sources investigates how India's democratic political leadership has facilitated higher education reform for fostering innovation while underlining key differences in the policy approach of the Chinese leadership. Findings identify the areas of reform for India and also reveal that epistemic boundaries between India and China are beginning to blur so far as right-wing ideological regimentation is concerned, with possible implications for innovation. [ABSTRACT FROM AUTHOR]

Out of all the essential eight trace elements, boron is an indispensable nutrient required for the growth and development of plants. The importance of boron as an essential micronutrient in agriculture cannot be overstated because both its deficiency and toxicity in soils can have a negative impact on plant growth and development. Boron deficiency is the second most widespread nutrient deficiency and gained economic importance in horticultural crops. Boron plays a significant role in cell wall formation; its functioning and strength as the majority amount of boron (>90%) is found in the cell wall of plants. India ranks second in fruit production after China. Fruits are considered a vital source of carbohydrates, protein, fiber, essential amino acids, minerals, vitamins etc. The immobile nature of boron increases its unavailability in plants and hence produces a wide range of deficiency symptoms in younger parts of fruit crops. Imbalanced boron uptake disrupts the pollination process which consequently reduces flowering, fruit set, yield, and henceforth deteriorates fruit quality by increasing fruit acidity. Application of boron fertilizers at different rate has shown a significant influence on the yield and quality of fruits. So, the main objective of this paper is to focus on the critical role and significance of boron in managing higher fruit crop yield as well as their quality. [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]

When the Quadrilateral Security Dialogue (Quad) was resuscitated in November 2017, it was framed as a minilateral grouping of liberal democratic countries to build a free and open Indo-Pacific in the shadow of China's growing assertiveness. However, this Quad 2.0 had not taken collective action until 2021. The four states neither held leaders' summit meetings nor issued joint statements after lower-level meetings. They took no joint quadrilateral actions to deter China either. From a constructivist perspective, this paper addresses this puzzle by critically revisiting the alleged common identity of the four states. It argues that India's national identity has not been built on the ontological difference between liberal democracy and autocracy but on a complex amalgamation of non-alignment, post-imperial ideology, Hindu nationalism and Indian exceptionalism. India, having held a vision of establishing an India–China partnership in Asia, did not regard China as its significant Other until the deadly border clashes between them in June 2020. China's expansionism has challenged India's identity as the pre-eminent power in South Asia and its vision of an equal China–India partnership. Despite India's increased cooperation with its Quad partners since then, the Quad is built more on geopolitical pragmatism than on shared liberal norms and values. [ABSTRACT FROM AUTHOR]

It has been found that people with disabilities remain at the margin as far as the different aspects of their lives are concerned. This paper tests the hypothesis that disability leads to lower quality of life among older adults in low and middle-income countries. The data from the Study on Global Ageing and Adult Health (SAGE) was used in this study which was conducted in Ghana, China, India, Russia, South Africa and Mexico. The disability scores have been made utilising Item Response Theory, Partial Credit Model and are centered on eight functioning and health areas. Bivariate analysis, binary logistic regression and pooled regression analysis have been used to fulfil the objectives of the paper. The findings reveal that disability acts as a hindrance in attaining a high quality of life (HQOL) amongst the older adults in the above mentioned low and middle-income countries. The older adults with disability are as much as 60% less likely to enjoy an HQOL with respect to the older adults without disability. Better socio-economic development like improved health care for disabled older adults with disability enhanced living standards for both abled and disabled, efficient pension schemes for older adults with disability and effective social service schemes would be very much essential to improve overall QOL among older adults. [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]

A scientific understanding of India's border-strategy is of great significance for China to formulate reasonable strategies towards India. Existing studies cannot explain why India has been provoking and encroachment in the Sino-India border area under the condition of the wide gap in comprehensive power between China and India, and it is difficult to provide a theoretical basis for China to adjust its strategy towards India in the future. Based on the framework of national border projected power, the paper chooses 4 time nodes, and combines historical studies and field work resources to explain Sino-India border strategic behavior in different historical phases. The results show that: ① National border projected power is the fundamental cause of national border strategic behavior. The national border projected power is mainly affected by comprehensive national power, restrictive power, geo-distance, trade relations. ② When China's comprehensive national power is powerful and unencumbered by restrictive power, the intensity of its national border projected power will rise, which will promote China to become the dominant side in the border strategic behavior of the Himalayan region, vice versa. ③ Based on the analytical framework, it is suggested that China should accurately evaluate the changes of the Sino-India national border projected power, scientifically place more emphases on the containment of external restrictive power, and reasonably enhance national projected power allocating in the border area, so as to actively respond to India's military adventures in the border area. [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]

In this paper, a SEIR epidemic model related to media coverage and exogenous reinfections is established to explore the transmission dynamics of COVID-19. The basic reproduction number is calculated using the next generation matrix method. First, the existence of equilibrium points is investigated, and different kinds of equilibrium points indicate that the disease may disappear, or exist that result in different quantity of susceptible individuals, pre-symptomatic infected individuals and symptomatic infected individuals. The stability of the equilibria is discussed by a geometric approach, and it is found that controlling reproduction number to be lower than 1 is not sufficient for eradication of COVID-19. Second, transcritical bifurcation is explored, and it is found that improving the ratio of exogenous reinfection may lead to backward bifurcation under poor medical conditions, which indicates that two endemic equilibrium points appear. Third, to investigate the influence of parameters on the basic reproduction, sensitivity analysis is done to choose relatively sensitive parameters, and the parameters for treatment and media coverage are selected. An optimal control model is established to balance the treatment and media awareness. By exploring the existence and the uniqueness of the optimal control solution, the optimal control strategies are given. Finally, we run numerical simulations to verify the theoretical analysis on actual data of China, and the data from the four different states of India is used for forecasting the situation of infected individuals in a short period. It is found by the simulation that the co-function of treatment and media coverage results in the reduced number of infectious individuals. [ABSTRACT FROM AUTHOR]

Following decades of relative isolation, China and India have become the world's largest new traders. In this paper, we focus on their Preferential Trade Agreements (PTAs). While the two economies initially followed similar paths, with a growing number of PTAs signed in the first decade of the 21st Century, since 2011 India has taken a U-turn and stopped completing them. China, on the other hand, has widened and deepened its trade agreements. We present a novel theoretical framework to analyze international economic negotiations by emerging economies and use it to study the puzzling divergence of the trade policies of China and India. By adapting the two-level game framework to emerging economies, we argue that there are key differences in the political economies of countries like China and India (compared to Western industrialized ones), which requires a more specific focus on the domestic side of the two-level game. We show that accounting for non-legislative domestic ratification processes and for iterative games and experiential learning by domestic actors are crucial in understanding the trade strategies of emerging economies. While much of the literature explains large emerging economies by looking at external systemic factors, we instead suggest that their domestic politics trumps international politics. [ABSTRACT FROM AUTHOR]

Aims: This structured review aimed to discuss the existing literature on therapeutic hypothermia for moderate to severe neonatal encephalopathy exclusively in low- and middle-income countries (LMICs).Methods: Medline, Embase, CINHAL and Cochrane Registry were searched for original papers with therapeutic hypothermia (TH) for treating neonatal encephalopathy in LMIC with no language restrictions. The search identified 1413 papers from 1990 to 31 August 2021.Results: Twenty-one original papers were included after duplicates removal and full-text screening in the final review. Fourteen randomized control studies and seven non-randomized studies were discussed with various modes of cooling (servo-controlled, phase changing material, traditional methods), complications during cooling, mortality and long-term neurodevelopmental assessment. Although there is sufficient evidence in LMIC favouring cooling for the reduction in mortality and improving the neurodevelopmental outcomes, nonetheless these studies were widely heterogeneous in terms of method of cooling, tools for assessing developmental outcomes, age at assessment and variations in neuroimaging tools and reporting.Conclusion: Therapeutic hypothermia is beneficial in LMICs with low certainty of evidence in reducing mortality and improving neurodevelopmental outcomes. [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]

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]

This paper constructs long-run estimates of total missing women (including missing girls at birth and excess female deaths) in China and India over seven decades from 1950 to 2020. We find that the number of missing women in India has been higher than in China throughout the seven decades. Over time, missing girls at birth grew faster in China than in India, but China has made more rapid progress in reducing excess female deaths after birth. While the share of missing girls at birth in total missing women has risen since the 1980s, there has also been a shift in excess female mortality from younger to older age groups. Our estimated trends are consistent with key economic, social, demographic and technological events and developments in the two countries. [ABSTRACT FROM AUTHOR]

Plastics around the globe have been a matter of grave concern due to the unavoidable habits of human mankind. Taking waste statistics in India for the year 2019–20 into account, the data of 60 major cities show that the generation of plastic waste stands tall at around 26,000 tonnes/day, of which only about 60 % is recycled. A majority of the non‐recycled plastic waste is petrochemical‐based packaging materials that are non‐biodegradable in nature. Vegetative/food waste is another global issue, evidenced by vastly populated countries such as China and India accounting for 91 and 69 tonnes of food wastage, respectively in 2019. The mitigation of plastic packaging issues has led to key scientific developments, one of which is biodegradable materials. However, there is a way that these two waste‐related issues can be fronted as the analogy of "taking two shots with the same arrow". The presence of various bio‐compounds such as proteins, cellulose, starch, lipids, and waxes, etc., in food and vegetative waste, creates an opportunity for the development of biodegradable packaging films. Although these flexible packaging films have limitations in terms of mechanical, permeation, and moisture absorption characteristics, they can be fine‐tuned in order to convert the biobased raw material into a realizable packaging product. These strategies could work in replacing petrochemical‐based non‐biodegradable packaging plastics which are used in enormous quantities for various household and commercial packaging applications to combat the ever‐increasing pollution in highly populated countries. This paper presents a systematic review based on modern scientific tools of the literature available with a major emphasis on the past decade and aims to serve as a standard resource for the development of biodegradable packaging films from food/vegetative waste. [ABSTRACT FROM AUTHOR]

Microgrid is a promising way to integrate renewable distributed generation into the electric power sector, which has received widespread attention. In this paper, a uniform capacity-constrained optimization model under different power purchase and sale price contracts is developed to explore the optimal green investment strategy for grid-connected microgrid (GCM) with three configuration types. The impact of renewable energy source endowment and incentive policy is focused when macrogrid's generators emit more pollution than GCM's non-renewable generators, such as in China and India. The results show that: (1) GCM with renewable generation can only be invested in a site with relatively abundant renewable endowment; (2) carbon tax effectively promotes the deployment of GCM with renewable generation and achieves carbon emission abatement, but excessive carbon tax cannot incentive investment in the most desired GCM type; (3) a subsidy trap is found under feed-in tariff (FIT) subsidy, which implies that the fade-out or exit of FIT subsidy is beneficial for microgrid's healthy development; (4) and the comparisons under different price contracts emphasize the importance of macrogrid providing non-discriminatory access to feed-in and feed-out services to microgrid. • Investment strategy is explored for grid-connected microgrid (GCM) with three types. • Renewable source endowment and incentive policy determine the investment for GCM. • Excessive carbon tax cannot incentive investment in the most desired renewable GCM. • The fade-out or exit of FIT subsidy is beneficial for healthy GCM deployment due to the subsidy trap. • Emphasizing the importance of macrogrid providing non-discriminatory services to GCM. [ABSTRACT FROM AUTHOR]

Applying artificial intelligence in education is relevant to addressing the current educational crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help improve educational outcomes. Therefore, a series of works have been developed integrating techniques in different educational contexts, for instance, in online teaching practices. Given the various studies and the relevance of CNNs for educational applications, this paper presents a systematic literature review to discuss the state-of-the-art. We reviewed 133 papers from the IEEE Xplore, ACM Digital Library, and Scopus databases. Based on our revision, we discuss characteristics of studies such as publication venues, educational context, datasets, types of CNNs models, and performance of models. We evidence that the literature regarding CNNs still misses more studies discussing educational problems faced by Global South students, considering both teaching and learning perspectives. Such a population cannot be neglected during experiments due to specific educational weaknesses (for example, basic skills) demanding personalized solutions. • A systematic literature review of 133 published papers. • China covered most publications, followed by India. • There is a research gap regarding using CNNs in some regions of the Global South. • The main educational context with CNN applications is students' performance. [ABSTRACT FROM AUTHOR]

Investigating a country's navy provides a means of assessing the country's strategic, political, economic as well as international perspectives. Being overwhelmingly strategic in orientation, Indian Ocean occupies an important position among the strategic calculations of all major powers, and as a result has become the centre of gravity due to its increasing economic, military and diplomatic activities in the post-cold war period. Since 1990s China's policies in the region have also changed, primarily due to its high stakes in the region. Its spectacular and constant economic growth has made it an attractive player for markets and its growing activities are an important imperative that shape the strategic environment of the Indian Ocean Region today. Since both India and China are rising simultaneously and have large stakes in this region, both are turning their policies to expand their Maritime sector. The increasing encroachments by China in the Indian Ocean has caused significant amount of friction in their bilateral ties and has led to overlapping spheres of influence with India. The paper establishes that China is expanding its Maritime power in all dimensions creating a security imbalance in South Asia. [ABSTRACT FROM AUTHOR]

Though a continued increase in life expectancy is a significant public health achievement, keeping older adults active and maintaining their well-being is challenging. Active aging requires physical health, mental health, functional independence, economic stability, social participation, and spiritual identification. Among all these factors, social cohesion has significant importance, but there is a dearth of studies focusing on older adults' social cohesion. Thus, the present study focuses on the level of social cohesion among older adults and its variation among the different economic classes. This article uses data from the Study on Global AGEing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia, and South Africa during 2007–10. Social cohesion scores have been constructed using Item Response Theory Partial Credit Model. Also, bivariate analysis, concentration curves, concentration indices, and multivariate regressions have been used for the analysis presented in this paper. This study confirms the strong predictive power of age, wealth, education, and working status of older adults on their social cohesion across the countries. Higher social non-cohesion is found among the economically poor older adults in Mexico, Russia, India, and China. In contrast, it is just opposite in the case of older adults in South Africa. Governments should develop policies to foster a society with a high level of social inclusion, social capital, and social diversity, to achieve further advancement in social cohesion. [ABSTRACT FROM AUTHOR]

China's hegemony in global fish production remains unquestioned. This paper tries to analyze the trend in the production of fish production in India and China giving emphasis to aquaculture fish production. In aqua production in the 2000s, India appears to have made a turnaround compared to the position of China. In the 2010s, India registered a growth rate of 78 percent almost the same as in the 2000s while China's decadal growth rate went down to a little over 50 percent. The variation difference in the growth trend of total fisheries production in India has been much more pronounced compared to that of China. The difference in variation of the growth has also been discernible in the Aquaculture production as well. While China's long-term growth has been steadier and steeper during the period under the study, India has shown relatively much-pronounced volatility, particularly in the second half of the 1990s and the first half of the 2000s. But in the later part of the 2010s, the volatility in the growth trend in respect of aqua production in India seems to have disappeared. [ABSTRACT FROM AUTHOR]

Objectives: The beneficial effects of many substances have been discovered because of regular dietary consumption. This is also the case with curcumin, whose effects have been known for more than 4,000 years in Eastern countries such as China and India. A curcumin-rich diet has been known to counteract many human diseases, including cancer and diabetes, and has been shown to reduce inflammation. The effect of a curcumin treatment for neurological diseases, such as spinal muscular atrophy; Alzheimer's disease; Parkinson's disease; amyotrophic lateral sclerosis; multiple sclerosis; and others, has only recently been brought to the attention of researchers and the wider population. Methods: In this paper, we summarise the studies on this natural product, from its isolation two centuries ago to its characterisation a century later. Results: We describe its role in the treatment of neurological diseases, including its cellular and common molecular mechanisms, and we report on the clinical trials of curcumin with healthy people and patients. Discussion: Commenting on the different approaches adopted by the efforts made to increase its bioavailability. [ABSTRACT FROM AUTHOR]

Tobacco use is associated with an annual global economic cost of two trillion dollars and mortality of half of its regular users. Tobacco leaf cultivation is the starting point of the tobacco cycle. Tobacco farming employs millions of small-scale tobacco farmers around the globe, most of whom are out growers who rely on the tobacco industry. This paper aims to map the regions of greatest tobacco production globally (i.e., the US, Brazil, China, Indonesia, India, and Zambia) and tobacco use rates in these locations. Smoking rates were higher in those areas, except for India, where important population subgroups reported an upward trend for tobacco smoking. In general, there was a relationship between tobacco farming and tobacco smoking. Tobacco farming may lead to a higher risk of tobacco use and lower adherence to tobacco control policies. Therefore, promoting viable alternative livelihoods for tobacco farmers must have dual benefits. Additionally, specific health prevention policies might be necessary for those populations reporting higher tobacco use and lower perception of tobacco-related health risks. [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 outbreak of Coronavirus 2019 (COVID‐19) has impacted everyday lives globally. The number of positive cases is growing and India is now one of the most affected countries. This paper builds predictive models that can predict the number of positive cases with higher accuracy. Regression‐based, Decision tree‐based, and Random forest‐based models have been built on the data from China and are validated on India's sample. The model is found to be effective and will be able to predict the positive number of cases in the future with minimal error. The developed machine learning model can work in real‐time and can effectively predict the number of positive cases. Key measures and suggestions have been put forward considering the effect of lockdown. [ABSTRACT FROM AUTHOR]

A contemporary definition of diaspora points to communities that are transnationally dispersed but remain connected to their place of origin. Accordingly, diaspora do not have an objective existence but are forged through a variety of means, involving multiple agencies and sites of formation. One of these sites is higher education. Based on interviews conducted with Indian and Chinese students in Australia, this paper suggests that recent policies and practices of internationalisation of higher education, shaped by market rationality, have steered international students in Business Studies towards particular forms of diaspora, aligned to a range of beliefs about the importance of their participation within the global economy and in particular their role in facilitating transnational regimes of business activities. [ABSTRACT FROM AUTHOR]

Cold-blooded Corona was infecting people severely and was causing death tolls across the whole world. Medical professionals did not have any full proof drug to treat pandemic with certainty. In this scenario, the curative modern treatments and drugs were explorative, empirical and trail- based. The Russian and the other vaccines have to prove the efficacy; however, it is a virtue in disguise in the way traditional Chinese medicines, herbs, Indian traditional systems of Ayurveda and Yoga have been making an impact in preventing the Covid pandemic. The integrative medical ethics using traditional treatments and modern drugs have been mitigating the severity of the Covid-19 in both India and China. The main objective of this paper is to research covid-19 impact on public health from the viewpoint of traditional medicines, integrative yoga philosophy and sustainability. It is to offer an integrative health perspective for the management of Covid pandemic and post-pandemic challenges. Keywords Integrative Medical Ethics, COVID-Pandemic, New-Normal, Social-Health, Holistic Health Management, Ayurveda and Yoga, Holistic, Environment and SDG's [ABSTRACT FROM AUTHOR]

This paper estimates the short and long-run impact of foreign direct investment, electricity consumption, and real GDP on ecological footprints in the context of environmental Kuznets and Pollution haven hypothesis for China, India, and Pakistan over 1970–2016. Panel and time series models have been adopted in this research. Results of the cointegration test revealed the long-run association among the considered variables. Furthermore, Fully-Modified and Dynamic Ordinary Least Square validated the pollution haven and environmental Kuznets hypothesis for the study area. On the other hand, the linkages between income and ecological footprints have identified U-shaped EKC in the case of China and India. The empirical results of the Dumitrescu and Hurlin panel causality test indicated a unidirectional causality from income to ecological footprints. In contrast, bidirectional causality found between ecological footprints and foreign direct investment and between ecological footprints and electricity consumption. [ABSTRACT FROM AUTHOR]

Finally, the third part focuses on China's and India's actions in the field of population control and utilizes Nehru Papers, newspaper articles from I Renmin ribao i (People's Daily) and the I Times of India i and other sources primary and secondary to excavate information on China-India comparative contraception policies. The 1877 famines in China and India, according to Matthew Connelly, launched the population control movement in Europe and the US.[8] How exactly this Western comparative lens colored China-India contact in the 1950s begs further research as well.[9] This article consists of three parts. One of the items on the agenda of the first independent government of India was the reforming of women's rights, particularly with the goal of raising female literacy levels and encouraging participation in the workforce.[18] As diplomatic relations between India and China became closer, Indian government officials paid particular attention to the roles women assumed in the People's Republic of China (PRC). "Our Women Should Certainly Emulate": China-India Gendered Exchanges. [Extracted from the article]

We aimed to examine the rate and characteristics of retracted articles in infectious diseases and clinical microbiology. Using the Retraction Watch Database, we conducted a cross-sectional study for retracted publications categorized as 'Infectious Disease' or 'Microbiology' until June 30 2022. We included publications for which citation information was available through the Web of Science database. Study characteristics, retraction trends and number of citations before and after the retraction year were analysed. Overall, 1004 retracted publications were included, retracted between August 1968 and June 2022. The number of retractions climbed through the years, peaking in 2020–2021. A total of 614 retractions originated from USA, China, and India, of total 183 736 PubMed publications from these countries. Overall, 378 (38%) were retracted because of errors; 182 (18%) because of plagiarism; and 142 (14%) because of falsification/fabrication. Specific reasons included 'concerns/issues about data' (158, 16%); 'duplication of image' (127, 13%); and 'unreliable results' (116, 12%). Of the 347 retractions during 2020 to June 2022, 91 (26%) were COVID-19 related. Fifty of 895 (5.6%) first authors had two retracted papers, and 14 (1.6%) had ≥2 retractions. Of 824 publications cited at least once, 466 (57%) were cited more often after retraction. Retractions of infectious diseases and clinical microbiology publications are increasing. Concerning reasons such as plagiarism, falsification/fabrication and errors are not uncommon. Nonetheless, these publications continue to be commonly cited after being retracted. [ABSTRACT FROM AUTHOR]

In view of the climate emergency, it is necessary to model and forecast road transport emissions for implementing more effective climate policy. This paper fills an important research gap by quantifying the challenges, barriers and remedies of achieving road transport emission reduction and air quality improvement in developing countries. It contributes to the debate on top-down and bottom-up approaches to reconcile carbon and other transport related emissions. China and India are chosen as case studies. Using various official statistics and proxy variables, we estimate and compare the road transport carbon emissions of the two countries systematically from 2009 to 2020. Insights from detailed mode-specific estimations of the bottom-up approach are valuable for targeted policies and measures. An analysis of the major components of road transport carbon emissions points to strategies of promoting electric vehicles, reducing transport demand, accelerating modal shift to low-carbon modes, and cleaner electricity to achieve climate policy. [ABSTRACT FROM AUTHOR]

Access to medicines has become a major concern for countries worldwide during the COVID-19 pandemic, as pharmaceutical production and trade have been disrupted in the course of the crisis. Antibiotics are one group of medicines where worries about access have been raised. Access to the right antibiotic at the right time is important not only for curing infections of individual patients, but also for curbing antibiotic resistance globally. Reliable pharmaceutical supply is key to ensuring access to medicines. The global supply of generic medicines has over the last decades been transformed by the rise of India's pharmaceutical industry. In this paper, I trace the changing role of this industry for the global export of antibiotics, by mapping and describing changes in Indian antibiotic exports and discussing these in light of historical processes and events. The paper offers a novel approach to analyse global antibiotic trajectories by using international trade data from publicly available resources combined with a secondary literature review. I show that India's pharmaceutical industry today holds a key role as one of the world's biggest exporters of antibiotic medicines, but with an increasing dependency on China as a supplier of antibiotic ingredients. This produces both opportunities and concerns for access to antibiotics globally. • Offers a novel approach to trace antibiotic and pharmaceutical geographies. • Uses international trade data to map India's role for global antibiotics supply. • Describes that India has become one of the world's biggest exporters of antibiotics. • Shows that India is highly dependent on China for import of antibiotic ingredients. [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]

Impact of heavy metal (HM) pollution and its understanding on environment as well as human beings has grown a lot during the last few decades. The goal of this study is to create a scientometric study on heavy metal contamination, in the period 1989 to 2020, in order to provide futuristic goals for the new researchers on wastewater treatment. For this, a search was conducted in the Web of Science (WoS) and Scopus databases, related to heavy metal pollution. Totally, 37,154 records were collected during the study period from 1989 to 2020. The findings revealed that China, the United States, and India has most referenced papers across a wide range of trans disciplinary issues such as toxicity, technology, and pollution. As a result, this study concludes that more research on various treatment methods is required in order to obtain high-quality water for consumption and routine activities, with the incorporation of various treatment tasks poses various challenges for the upcoming future studies. [Display omitted] • A bibliometric study is performed an heavy metal pollution between 1989 and 2020. • 37,154 records were critically analyzed to extract the bibliographic maps. • China, USA and India are the leading countries in heavy metal pollution research. • Advanced oxidation, coagulation-flocculation, adsorption, and membrane filtering technologies were focussed. [ABSTRACT FROM AUTHOR]

The age of the giant Uragen sandstone-hosted Pb-Zn deposit in the western margin of the Tarim Basin in Northwest China has long been questioned due to the general paucity of minerals unequivocally linked to Pb-Zn deposition that can be precisely dated using conventional radiogenic isotopic techniques. This paper describes the petrographic characteristics of Pb-Zn ores and presents the results of in situ calcite U–Pb analysis using laser ablation sector field inductively coupled plasma mass spectrometry (LA-ICP-MS) for this deposit. Calcite from the early, main and late ore-forming stages yielded low intercept ages of 11.80 ± 0.4 Ma, 10.9 ± 0.3 Ma and 10.6 ± 0.2 Ma, respectively, which constrain the Uragen Pb-Zn mineralization to the Late Miocene. Combined with the existing isotopic ages in the region, these new ages lead us to propose that the Uragen deposit formed during two hydrothermal episodes. The first refers to the oil-gas migration that occurred during the Middle Eocene to Early Miocene, which may be associated with the India–Eurasia collision and subsequent activity of the Main Pamir Thrust. The second refers to the Pb-Zn mineralization that occurred in the Late Miocene, which may be associated with the activity of the foreland thrust fault belt of South Tianshan and the Pamir Frontal Thrust (PFT). This study demonstrates the potential of using LA-ICP–MS U–Pb dating on calcite to constrain the ages of sandstone-hosted Pb-Zn deposits. [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]

The COVID-19 outbreak has led to a substantial loss of human life throughout the world and has a tremendous impact on healthcare services. Industry 4.0 technologies have established effective supply chain management towards the fulfillment of customized demands in the healthcare field. In addition, the internet of things, artificial intelligence, big data analytics, and 3D printing have been extensively used to combat the COVID-19 pandemic and assist in providing value-added services in the healthcare sector. Henceforth, this paper presents a scientometric analysis on the literature of aforementioned Industry 4.0 technologies in the context of COVID-19. It provides extensive insights into co-citation and co-occurrence analysis of high cited publications, participating countries, influential authors, prolific journals, and keywords using the CiteSpace tool. The analyses reveal that China has produced the highest research outputs, although India is the most collaborative country in this field. The current research hotspots include supply chain, 4D printing, and social distancing technologies. Furthermore, it explores emerging trends, intellectual structure of publications, research frontiers, and potential research directions for further work in the Industry 4.0 assisted healthcare domain. [Display omitted] • Industry 4.0 technologies have emerged in the healthcare domain as an area of growing interest in academia and industry discipline. • Artificial intelligence, big data analytics, internet of things and 3D printing have been extensively used to control the COVID-19 spread and assist in providing value-added services in the healthcare sector. • It explores emerging trends, intellectual structure of publications, and potential research directions for further work in the Industry 4.0 assisted healthcare domain. [ABSTRACT FROM AUTHOR]

This paper presents an extensive review of experimental, numerical, and numerical-experimental studies focused on compiling different aspects that lead to improved PTSC performance using the different electronic base sources during the last four decades. Different applications and future research prospects have also been presented, guiding the researchers that focus on developing new working fluids, receiver configurations, applications, among other aspects for PTSC performance enhancement. Experimental studies reveal that the combination of nanofluids and turbulators leads to the best improvement in PTSC thermal efficiency, followed by the use of internal fins and nanofluids only. Numerical studies affirmed that fin inserts have a more significant influence on heat transfer than nanofluids, but its main drawback is that it has a cost increase of 5%. The dispersion of Cu and CuO in the base fluid showed a remarkable increase in the heat transfer coefficient than other nanoparticles. Therefore, they are the best options to improve the PTSC's performance. Numerical-experimental studies reveal that the tube with an internal annular porous combined with the nanofluid Al 2 O 3 /Synthetic oil showed the best increase in thermal efficiency with a value that varies from 8% to 15%. Electronic analysis of publications focused on improving the PTSC's performance shows that China participates with 25%, followed by India with 11%. The PTSC applications proved that it is ideal for electrical energy stability and less dependent on limited fossil fuel reserves. Furthermore, more experimental studies are required to mature nanofluids' application and new receiver tube configurations on an industrial scale. • Different ways to improve PTSC performance over the last 4 decades was reviewed. • Experimental and numerical studies to improve PTSC thermal performance are presented. • Nanofluids, PTSR, and numerical models are described with current challenges. • The use of nanofluids with turbulators is the best option to improve PTSC performance. • This review can help to identify the aspects to be considered in future developments. [ABSTRACT FROM AUTHOR]

An accurate and objective prediction of coal consumption is important for stabilizing the coal market, ensuring the operating results of coal enterprises. This paper starts with the background value of the traditional GM(1,1) model, extends the model by the extrapolation method, proposes an optimized grey prediction model, deduces the time response equation, studies the relationship between model parameters and model accuracy. Then the model is optimized by simulated annealing algorithm. Three cases verify the validity of model, the results show that its lowest prediction error percentage is 3.1286%, which is better than two classical grey prediction models, Finally, the model is applied to forecast the next five years' consumption of China, India and the United States, which are the world's top three coal consumers. The errors of the proposed models are all about 5%, which is obviously better than the comparison models. The results show that coal consumption in China and India will continue to rise over the next five years, while the United States will decline. These findings are consistent with the current development of the three countries; therefore, the optimized prediction model can effectively predict the coal consumption of the three countries. • The highlights of this article are as follows: • An optimized grey prediction model that can be applied to various data situations is proposed. • The traditional GM(1,1) model is optimized by a simulated annealing algorithm. • The validity of the model is verified by theoretical deduction and case analysis. • The generality and wide applicability of the proposed method are discussed. [ABSTRACT FROM AUTHOR]

Traditional Indian medicine is one of the oldest medical systems and remains popular worldwide. Traditional medicine systems in China and India have historical origins pertaining to mutual learning, reference, and development from medical theory to the drugs used. The exchange of traditional medicine between China and India began in the Qin and Han Dynasties (221 BC–220 AD), prospered in the Tang Dynasty (618–907 AD), and declined after the Song Dynasty (960–1279 AD). It was also directly related to the rise and fall of Buddhism. The traditional medicines of the two countries are highly complementary because of differences in geographical climate and the modernisation process of traditional medicine. This review aimed to understand the spread and development of traditional Indian medicine in China to further promote exchange and cooperation between China and India in the field of traditional medicine. We performed a systematic search of MEDLINE via PubMed, CNKI, Science Direct, Sci-Hub, and other databases using the terms 'traditional Indian medicine' or 'Indian medicine' or 'Ayurveda' or 'Yoga' or 'Unani', and limiting the search to articles published between 1958 and 2019. We analysed the sources, publication date, type, and topic of the retrieved articles/studies. Based on the results of research on traditional Indian medicine carried out by Chinese scholars, 518 academic papers and 60 classic works published in China and abroad were collected. The results showed the following. First, Chinese scholars have systematically investigated traditional Indian medicine including its composition, management, and education; the scale of medicinal and pharmaceutical plants; protective measures of intellectual property rights of traditional medicine; and international promotion of Yoga. Second, studies have examined the development status of traditional Indian medicine in China including the spread of Yoga in the country and the industrial scale of, education in, existing problems in, and clinical research on Yoga. In addition, Chinese scholars conducted research on and the translation of classic works and terms of Ayurveda, and studied the theory, treatment, and medicine thereof. Third, the historical exchange and trading status of traditional medicine between India and China have been discussed, including the exchange of traditional medicine between the two countries, effect of traditional Indian medicine on Chinese Buddhism, and minority medicine and trade in medicinal materials between the two countries. India attaches great importance to the management of, education in, and industry of traditional medicine, and has made various efforts to protect intellectual property rights. Indian Yoga is very popular in China, and Chinese scholars have conducted some clinical research thereon. However, regulatory systems and legislation for Yoga are lacking in China. At present, traditional Chinese medicine scholars have an enhanced understanding of the term Yoga and less knowledge of the terms Ayurveda, Siddha, Unani, and similar concepts. We suggest that Chinese scholars further study the classic works, basic theories, treatment of clinical diseases, medicinal materials, and prescriptions compounding traditional Indian medicine. The results of this study highlight directions for Chinese scholars to pursue in further studying traditional Indian medicine comprehensively, and will help promote exchange and cooperation between China and India in the field of traditional medicine. [Display omitted] [ABSTRACT FROM AUTHOR]