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The land use, land-use change and forestry (LULUCF) sector, as a source and a sink of greenhouse gas (GHG) emissions, is critical for achieving carbon neutrality. Many academic journals have published papers on land use carbon emission or sink (LUCES), but LUCES reviews are relatively rare, which poses great challenges in accurately understanding the research progress and future prospects. This work analyzes the research characteristics, hotspots and future perspectives of LUCES research by using a bibliometric analysis (such as DDA, VOSviewer, CiteSpace software) and a review based on the data (6115 scientific papers) during 1991–2023 from the Web of Science (WoS) platform. We found that (1) over the past 33 years, it first presented a steady growth, then fluctuating growth, and finally a rapid growth trend in the yearly number of publications in LUCES research. The USA (17.31%), China (14.96%), and the UK (7.37%) occupy a dominant position in this research field. (2) The related LUCES research is interdisciplinary, which mainly cover science and technology, meteorology and atmospheric sciences, geology, and environmental sciences and ecology disciplines. (3) The research hotspot analysis on LUCES shows that these articles mostly covered the follow three aspects: ecosystem services, climate change, and carbon neutrality. (4) A review of the past LUCES literature suggests that it is mainly focused on exploring the forefront issues in terms of the definition and boundaries, evaluation method and influencing factors, etc. This work suggests that further research could explore the main scientific problems on quantification of land-based carbon neutrality, quantitative analysis of the impact mechanisms, as well as interdisciplinary research and collaborative governance needed for carbon neutrality. [ABSTRACT FROM AUTHOR]

During the last three years, numerous research papers have been reported which use social media data to explore several issues related to the COVID-19 pandemic. Bibliometric methods in this work are used to analyze 1427 peer-reviewed documents from the last three years extracted from the Web of Science database. The results of this study show that there was high growth in publications in open access journals with an annual rate reaching 19.3% and they also identify the top cited journals and research papers. The thematic analysis of papers shows that research topics related to social media for surveillance and monitoring of public attitudes and perceptions, mental health, misinformation, and fake news are important and well-developed, whereas topics related to distance-learning education with social media are emerging. The results also show that the USA, China, and the UK have published many papers and received a high number of citations because of their strong international collaboration. [ABSTRACT FROM AUTHOR]

This paper explores the development of a smart Structural Health Monitoring (SHM) platform tailored for long-span bridge monitoring, using the Forth Road Bridge (FRB) as a case study. It discusses the selection of smart sensors available for real-time monitoring, the formulation of an effective data strategy encompassing the collection, processing, management, analysis, and visualization of monitoring data sets to support decision-making, and the establishment of a cost-effective and intelligent sensor network aligned with the objectives set through comprehensive communication with asset owners. Due to the high data rates and dense sensor installations, conventional processing techniques are inadequate for fulfilling monitoring functionalities and ensuring security. Cloud-computing emerges as a widely adopted solution for processing and storing vast monitoring data sets. Drawing from the authors' experience in implementing long-span bridge monitoring systems in the UK and China, this paper compares the advantages and limitations of employing cloud- computing for long-span bridge monitoring. Furthermore, it explores strategies for developing a robust data strategy and leveraging artificial intelligence (AI) and digital twin (DT) technologies to extract relevant information or patterns regarding asset health conditions. This information is then visualized through the interaction between physical and virtual worlds, facilitating timely and informed decision-making in managing critical road transport infrastructure. [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]

As humanity reaches the 5.0 industrial revolution, education plays a critical role in boosting the quality of human resources. This paper reports bibliometric research on emerging TiP during 1993-2022 in the educational field to analyse its development on any level of education during the last three decades. This study employed a Scopus database. The findings are that the trend of TiP publication in educational fields has tended to increase every year during the past three decades and conference paper became the most published document type, the USA is the country which produces the most publications; "Students" being the most occurrences keyword and total link strength. The publication of the TiP is ranked to the Quartile 1, which implies that a publication with the cited performance is a publication with credibility because the publisher has a good reputation. Researchers can find the topics most relevant to other metadata sources such as Web of Science, Publish, and Perish.

The practice of Corrective Feedback (CF), which is situated within a Second Language Acquisition (SLA) Paradigm, is currently positioned towards an accuracy-orientated delivery based on native speaker norms. This is despite the recognition in different areas of linguistic research that there is considerable variation in the way that English is spoken around the world. This paper argues that the epistemological assumptions and methodological approaches to investigate CF within an SLA paradigm have various underlying weaknesses that undermine research findings. These findings purport to provide support for an accuracy-orientated CF in the English classroom. However, it is suggested in this paper that a meaning-orientated CF would be more reflective and beneficial for students given the transformative changes that have occurred to English over the past 30 years. This perspective is discussed in relation to one teacher's approach to CF who participated in a larger project which examined CF conducted in a British-Sino University.

Background: The Shar Pei is a common dog breed with a distinctive appearance caused by hyaluronosis that has been linked with several health conditions. Anonymised primary-care veterinary clinical records were explored to extract data on the demography, common disorders and mortality of Shar Pei in the UK in 2013. Results: The study population of 455,557 dogs included 1913 (0.42%) Shar Pei. The mean adult bodyweight was 22.26 kg. The most prevalent fine-level precision disorders were entropion (prevalence 17.88%, 95% CI: 16.16-19.59), otitis externa (16.36%, 95% CI: 14.70-18.02), ear disorders (6.69%, 95% CI: 5.57-7.81), aggression (5.23%, 95% CI: 4.23-6.22), and pyoderma (4.29%, 95% CI: 3.38-5.19). The most prevalent disorder groups were ophthalmologic (prevalence = 22.27%, 95% CI: 20.40-24.13), dermatological (21.01%, 95% CI: 19.19-22.84), aural (18.66%, 95% CI: 16.92-20.41), traumatic injury (7.53%, 95% CI: 6.35-8.71) and behavioural (7.21%, 95% CI: 6.05-8.37). The median longevity of 190 Shar Pei that died during the study period was 7.28 years (IQR 5.04-10.05, range 0.04-15.04). Of 184 deaths with a recorded method of death, 157 (85.33%) deaths involved euthanasia and 27 (14.67%) deaths were unassisted. Among 136 (71.58%) deaths with a recorded biomedical cause of death, the most common causes of death at group level precision were neoplasia (15.44%, 95% CI: 9.37-21.51), renal disorders (13.24%, 95% CI: 7.54-18.93), and behavioural disorders (11.03%, 95% CI: 5.76-16.29). Conclusions: Almost one fifth of Shar Pei receive veterinary care each year for entropion, a condition linked strongly with the extreme conformation of thickened and folded skin and bristly hair that characterises the Shar Pei breed. Several other common disorders are also linked to hyaluronosis. Current UK legislation can help support efforts to avoid breeding or acquiring animals with extreme conformations and to promote adequate veterinary care for already-owned animals with extreme conformations. Plain English summary: The Shar Pei dog breed is instantly recognisable by their copious loose folded skin and bristly coat, with Shar Pei translating from Chinese as 'sand paper skin'. Although originally a fighting, hunting and guarding dog in China, the Shar Pei breed was re-invented in the US as a companion animal in the late 1970s where a more wrinkled and heavy-set American 'meat mouth' variety replaced the traditional 'bone mouth' variety originally popular in China. However, the underlying disease of hyaluronosis that causes the characteristic extreme appearance of the Shar Pei has also been linked with several other health problems in the breed such as in-turned eyelids (entropion) and ear disease. Using anonymised veterinary clinical records collected within the VetCompass Programme at the Royal Veterinary College (RVC), Shar Pei made up 0.4% of all dogs in the UK in 2013 and had an average adult bodyweight of 22 kg. The most common specific disorders diagnosed in Shar Pei were in-turned eyelids (17.88%), ear infection (16.36%), ear problems (6.69%), aggression (5.23%), and skin infection (4.29%). Among the 30 most common specific disorders, females were more likely to show in-turned eyelids and conjunctivitis, while males were more likely to show aggression and infected paws. Once the disorders were grouped, the most common disorder groups were eye disorders (22.27%), skin (21.01%), ear (18.66%), traumatic injury (7.53%), and behavioural (7.21%). The average lifespan of Shar Pei was 7.28 years. The most common causes of death were cancer (15.44%,), kidney disorders (13.24%), and behavioural disorders (11.03%). This study highlights that almost one fifth of the breed receive veterinary care each year for in-turned eyelids that can lead to extreme pain and are linked to the thickened and folded skin that humans find so appealing in this breed. Current UK legislation can help support concerted efforts from all animal welfare stakeholders to avoid breeding or acquiring animals with these and other extreme conformations and to promote adequate veterinary care for already-owned animals with extreme conformations. [ABSTRACT FROM AUTHOR]

The world is facing the challenge of increasing grain production and improving the environment, in which the treatment of diffuse water pollution from agriculture is the important content. Traditional administrative means are still unable to solve the problem of market failure and government failure in controlling water pollution. Economic policy instruments have more advantages in improving market economics and reducing the cost of environmental governance and supervision. They have become an important way to solve pollution and promote the transformation of water pollution prevention and control management. This paper puts forward suggestions and countermeasures for improving China's economic policy instruments by systematically sorting out and analyzing the EPIs in China and the UK. Starting from the whole process of agricultural production, China's water quality governance needs to follow three principles to innovate and comprehensively utilize economic policy instruments. A transparent multi-party information sharing and an efficient supervision system are invisible to water quality governance. China also needs to continue to deepen reforms and pilot projects, especially in terms of governance objectives, public welfare funds, water prices, tradable water rights, and emission rights. This paper could also provide a reference for water pollution control in other developing countries. [ABSTRACT FROM AUTHOR]

Acknowledging the extreme risk COVID-19 poses to humans, this paper attempted to analyze and compare case fatality rates, identify the existence of learning curves for COVID-19 medical treatments, and examine the impact of vaccination on fatality rate reduction. Confirmed cases and deaths were extracted from the "Daily Situation Report" provided by the World Health Organization. The results showed that low registration and low viral test rates resulted in low fatality rates, and the learning curve was significant for all countries except China. Treatment for COVID-19 can be improved through repeated experience. Vaccinations in the U.K. and U.S.A. are highly effective in reducing fatality rates, but not in other countries. The positive impact of vaccines may be attributed to higher vaccination rates. In addition to China, this study identified the existence of learning curves for the medical treatment of COVID-19 that can explain the effect of vaccination rates on fatalities. [ABSTRACT FROM AUTHOR]

This paper is based on my PhD thesis about the production culture of Chinese entertainment. I will discuss the challenges I faced during my fieldwork in China and will reflect on a general level on how to access this non-western field for doing media ethnography. As a UK-based university researcher, doing ethnography in my own country, China, this brought me particular challenges. Some ethical guidelines in the UK were not applicable to issues concerning consent. Regarding this inapplicability, Chinese scholar Suiming Pan questioned the application of Western guidelines in a Chinese context: as sociology in China lacks local theories, should Chinese researchers apply Western theories in China or invent new theories based on phenomena that have never occurred in the West? By the same token, how should Chinese researchers adapt Western ethics guidelines? This paper aims to discuss these questions in the Chinese context -- how I had to be flexible with guidelines while upholding academic standards. Since gaining access to Chinese media remains challenging, many compromises were made during the interactions with television production teams, gatekeepers and colleagues in the field. Furthermore, I encountered problems during my interviews with creative workers. Lastly, I will illustrate how I built relationships with people in the field and how I handled my identity crisis as an ethnographer in my own culture, hoping that my research experience can shed light on future ethnographic works in non-Western contexts. [ABSTRACT FROM AUTHOR]

75.6% of land comprising Hong Kong remains undeveloped according to the special administrative region's planning department. In turn, Hong Kong's constricted real estate, now estimated to be the world's costliest, has created eye-popping living arrangements historically and contemporarily. Denizens' colorful reputation and imagination for flouting city ordinances, zoning laws, and spatial management stand emblematic of tenacious self-sufficiency and a free-spirited brand of runaway capitalist initiative. Why is this conspicuous trademark of Hong Kong's societal fabric very much alive in the 21st Century? Why does this matter in a rapidly urbanizing world witnessing the ascension of mega-urban centers alongside ever-widening socioeconomic chasms? This paper intends to illuminate the peculiar origins and longevity of the KowloonWalled City, an urban monolith of notoriety and autonomy that blossomed in a semi-legal grey zone unencumbered under British protectorate rule for nearly a century. Parallels will connect the linear trajectory between Kowloon's hardnosed living to today's comparable Chungking Mansions and the hundreds of thousands of cage homes appearing in all corners of the city. This paper aims to answer why these residential paradoxes continue to function with efficiency and relevancy, posing solutions for indigent housing while exacerbating the stigma of social and economic ostracism. [ABSTRACT FROM AUTHOR]

Over the past three decades, there have been many comprehensive studies related to public–private partnerships (PPP), but the analysis at the macro level still lacks comprehensiveness and interpretability. Through the application of bibliometric analysis, 2-mode network, and strategic coordinate analysis, we systematically analyzed the derivative characteristics of the literature data and the coupling characteristics of countries and keywords. Moreover, through the frequency and betweenness centrality, etc., this paper determines the evolution path of keywords and the evolution direction of theme words and realizes the prediction of theme words and keywords in the future. The results show that: (1) Through the three-stage biclustering analysis, we determined the hot theme words and hot keywords for each stage and focused the theme direction and main research content of the evolution, which led to great interpretability of the data analysis in the literature characteristics; (2) Through the distribution characteristics of time and space, the USA, China, the UK and other mainstream publishing countries and their main research hotspots were determined. Among them, developing countries have strong willingness in academic cooperation and great potential for academic development; (3) According to the derivative characteristics of the literature data, it is predicted that the future research hotspots are: the integration of business economy and sustainability, the integration of policy support and innovative technology application, and the urbanization promotion of developing countries. Based on the findings, this study makes concrete and targeted research methods and provides reference value and application value for the future research and analysis of PPP. [ABSTRACT FROM AUTHOR]

Big data starts booming in 2013 and has multiple applications in all walks of life. In such an environment, big data for information technology (BDI) and decision making (BDD) have formed some hot topics in common. This paper reviews the body of BDI and BDD research studies from 1994 to 2020, using bibliometrics analysis. The aim of this paper is to explore the current status, the correlation between BDI and BDD, the future trends and challenges. From time and space dimensions, CiteSpace and VOS viewer are used to obtain the annual trends of documents, the distribution of countries and sources, the citations and the h-index of BDI and BDD. The top three productive countries are the USA, China and the UK. From the perspective of h-index, the USA and the UK are at the forefront of the world. The value of big data is realized through information acquisition, storage, analysis, expression transmission and service sharing technologies, and the decision-making techniques exist throughout the process of big data analysis. "Business" and "Information science library science" are the latest hotspots of BDI. The appliances in the organization, supply chain management, education, and the environment are recent themes of BDD. Big data technology processing capabilities and network security issues are the main challenges in the future. This study contributes to the body of knowledge on BDI and BDD, and hops to help in understanding the evolution of them in relevant fields. [ABSTRACT FROM AUTHOR]

Background: COVID-19 is now a global public health crisis with unprecedented political, economic, and social consequences affecting nations across the world. It also has a profound impact on the mobility of international students. When the COVID-19 was under control in China, and it was spreading dramatically in the United Kingdom, Chinese international students studying in the United Kingdom have been caught in a double bind over whether to return home or not. Objective: This study aims to explore the factors that influenced Chinese international students' choices of return during the COVID-19 pandemic when the COVID-19 was under control in China, while it was spreading dramatically in the United Kingdom. Methods: Taking Chinese international students studying in the United Kingdom as an empirical case, this study used qualitative and quantitative research methods to explore the factors that influenced their choices of return. Based on the Rational Choice Theory and qualitative analysis of text data, this paper constructed the influencing factors model of returning to China. On this basis, we developed a questionnaire and collected data from 1,333 students in late April and early May 2020. Binary Logistic Regression with 95% CI for odds ratio (OR) was used to identify significant factors. Results: The reserve of epidemic prevention supplies (OR = 0.712), transportation expenses (OR = 0.618), and quarantine expenses (OR = 0.702) negatively affected the return choice of overseas students. The supply of daily necessities (OR = 1.495), the anti-epidemic policy of the United Kingdom (OR = 1.684), and the demand for job hunting after graduation (OR = 1.661) had positive effects. Conclusion: The institutional rationality had the biggest promoting effect, replaced development rationality, and became the most important factor for overseas students to return to China during the COVID-19 pandemic. Economic rationality, which has a significant negative effect, is the biggest obstacle to returning home. These conclusions have policy implications for governments' response to the COVID-19 epidemic and improvement of the quality of services for overseas students. [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]

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.

Electrical impedance tomography (EIT) applications have been progressed in technology and applications, and EIT began to be used in multiple clinical and experimental scenarios including pulmonary, brain,tissues monitoring etc. This study explores the emerging trends and hot topics concerning applications on EIT in extrapulmonary applications by bibliometrics analysis. 443 research articles, reviews, letters, and proceeding papers etc. published from 1987 to 2021 in English were analyzed from a global perspective, covering global publications, cooperation between countries, and clustering of keywords. The global annual publications on extrapulmonary applications gradually increased slowly in the last 30 years, and USA, UK and China ranked as the top three prolific contributors in keywords of EIT extrapulmonary applications. "cutaneous melanoma","breast cancer detection","brain" were research hotspots. Overall, EIT extrapulmonary applications bibliometrics analysis gives us a unique insight to identify scientific advances, hot spots, research trends, and provide future directions of EIT in extrapulmonary applications. [ABSTRACT FROM AUTHOR]

Conducting two original empirical studies analyzing appellate decisions for the years of 2015-18, this paper compares judicial practice of the recently implemented exclusionary rule in the People's Republic of China ("PRC") with exclusionary practices in the United Kingdom ("UK"). As its research question, this paper tests whether the PRC rule is an effective defense strategy by measuring it in accordance with the yardstick of established British legal practice. The twin studies include one in the PRC reviewing 589 relevant appellate cases and a study in the UK with 132 appellate cases. This paper considers general trends and scrutinizes the number of appeals filed each year, the percentage of successful claims, remedies and partial remedies, alleged error and harmless error, and the types of underlying crimes in both jurisdictions that attracted exclusion of the evidence. The raw data discloses that the PRC exclusionary rule measures up well with significantly more exclusion orders of police/prosecutorial misconduct evidence than in the UK. Notwithstanding these findings, this paper argues that the data suggests that there is a persistent judicial reluctance to name and shame illegal government conduct, opaque decision-making, compromise verdicts, and incoherence regarding fruits of the poisonous tree evidence in the PRC.1 It also observes that even with the higher rate of exclusion in the PRC, this exclusion is likely attributable, in part, to greater problems with PRC law enforcement. Yet despite this, the exclusionary rule has emerged as a bona fide legal strategy yielding significant numbers of remedies. It exhibits a more sophisticated Chinese criminal justice scheme showcasing growing judicial autonomy. [ABSTRACT FROM AUTHOR]

Background: In order to leverage the potential benefits of technology to speech and language therapy language assessment processes, large samples of naturalistic language data must be collected and analysed. These samples enable the development and testing of novel software applications with data relevant to their intended clinical application. However, the collection and analysis of such data can be costly and time-consuming. This paper describes the development of a novel application designed to elicit and analyse young children’s story retell narratives to provide metrics regarding the child’s use of grammatical structures (micro-structure) and story grammar (macro-structure elements). Key aspects for development were (1) methods to collect story retells, ensure accurate transcription and segmentation of utterances; (2) testing the reliability of the application to analyse micro-structure elements in children’s story retells and (3) development of an algorithm to analyse narrative macro-structure elements. Methods: A co-design process was used to design an app which would be used to gather story retell samples from children using mobile technology. A citizen science approach using mainstream marketing via online channels, the media and billboard ads was used to encourage participation from children across the United Kingdom. A stratified sampling framework was used to ensure a representative sample was obtained across age, gender and five bands of socioeconomic disadvantage using partial postcodes and the relevant indices of deprivation. Trained Research Associates (RA) completed transcription and micro and macro-structure analysis of the language samples. Methods to improve transcriptions produced by automated speech recognition were developed to enable reliable analysis. RA micro-structure analyses were compared to those generated by the digital application to test its reliability using intra-class correlation (ICC). RA macro-structure analyses were used to train an algorithm to produce macro-structure metrics. Finally, results from the macro-structure algorithm were compared against a subset of RA macro-structure analyses not used in training to test its reliability using ICC. Results: A total of 4,517 profiles were made in the app used in data collection and from these participants a final set of 599 were drawn which fulfilled the stratified sampling criteria. The story retells ranged from 35.66 s to 251.4 s in length and had word counts ranging from 37 to 496, with a mean of 148.29 words. ICC between the RA and application micro-structure analyses ranged from 0.213 to 1.0 with 41 out of a total of 44 comparisons reaching ‘good’ (0.70–0.90) or ‘excellent’ (>0.90) levels of reliability. ICC between the RA and application macro-structure features were completed for 85 samples not used in training the algorithm. ICC ranged from 0.5577 to 0.939 with 5 out of 7 metrics being ‘good’ or better. Conclusion: Work to date has demonstrated the potential of semi-automated transcription and linguistic analyses to provide reliable, detailed and informative narrative language analysis for young children and for the use of citizen science based approaches using mobile technologies to collect representative and informative research data. Clinical evaluation of this new app is ongoing, so we do not yet have data documenting its developmental or clinical sensitivity and specificity. [ABSTRACT FROM AUTHOR]

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

While many studies have examined the role of biochar in carbon (C) accrual in short-term scale, few have explored the decadal scale influences of biochar on non-biochar C, e.g., native soil organic C (SOC) and added substrate. To address this knowledge gap, soils were collected from decade-old biochar field trials located in the United Kingdom (Cambisol) and China (Fluvisol), with each site having had three application rates (25–30, 50–60 and 75–100 Mg ha−1) of biochar plus an unamended Control, applied once in 2009. We assessed physicochemical and microbial properties associated with sucrose (representing the rhizodeposits) mineralization and the priming effect (PE) on native SOC. Here, we showed both soils amended with biochar at the middle application rate (50 Mg ha−1 biochar in Cambisol and 60 Mg ha−1 biochar in Fluvisol) resulted in greater substrate mineralization. The enhanced accessibility and availability of sucrose to microorganisms, particularly fast-growing bacterial genera like Arenimonas, Spingomonas, and Paenibacillus (r-strategists belonging to the Proteobacteria and Firmicutes phyla, respectively), can be attributed to the improved physicochemical properties of the soil, including pH, porosity, and pore connectivity, as revealed by synchrotron-based micro-CT. Random forest analysis also confirmed the contribution of the microbial diversity and physical properties such as porosity on sucrose mineralization. Biochar at the middle application rate, however, resulted in the lowest PE (0.3 and 0.4 mg of CO2-C g soil−1 in Cambisol and Fluvisol, respectively) after 53 days of incubation. This result might be associated with the fact that the biochar promoted large aggregates formation, which enclosed native SOC in soil macro-aggregates (2–0.25 mm). Our study revealed a diverging pattern between substrate mineralization and SOC priming linked to the biochar application rate. This suggests distinct mechanisms, biophysical and physicochemical, driving the mineralization of non-biochar carbon in a field where biochar was applied a decade before. Highlights: The application of biochar at a moderate rate (50–60 Mg ha−1) resulted in increased labile C mineralization and decreased priming of native SOC. Biochar amendments led to the reconfiguration of physicochemical properties, including pH, porosity, and the formation of aggregates. Modified microbial community structure towards more r-strategists caused greater sucrose mineralization. Biochar incorporation rate governed the C dynamics via (biophysical vs physicochemical mechanisms) in long-term biochar amended fields. [ABSTRACT FROM AUTHOR]

Objective: The non-motor symptoms of Parkinson's disease (PD) are an important part of PD. In recent years, more and more non-drug interventions have been applied to alleviate the non-motor symptoms of PD, but the relevant evidence is limited. This systematic review and meta-analysis was designed to evaluate the efficacy of non-drug interventions in patients with non-motor symptoms in patients with PD. Methods: Seven databases, including Pubmed, Embease, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang database (WANFANG), VIP database (VIP), and China Biomedical Literature Service System (CBM) were searched from the establishment of the database to December 2023. Non-drug interventions such as acupuncture, cognitive behavioral therapy (CBT), exercise, repetitive transcranial magnetic stimulation (rTMS), and non-motor symptoms of Parkinson's disease were selected as search words, and two independent evaluators evaluated the included literature's bias risk and data extraction. The therapeutic efficacy was evaluated by the Parkinson's Disease Sleep Scale (PDSS), Hamilton Depression Scale (HAMD), Beck Depression Inventory (BDI), Hamilton Anxiety Scale (HAMA), Montreal Cognitive Assessment (MoCA), Minimum Mental State Examination (MMSE), and Parkinson's Disease Questionnaire-39 (PDQ-39). RevMan 5.4.1 (Reviewer Manager Software 5.4.1). Cochrane Collaboration, Oxford, United Kingdom analyzed the data and estimated the average effect and the 95% confidence interval (CI). A heterogeneity test is used to assess differences in the efficacy of different non-drug treatments. Results: We selected 36 from 4,027 articles to participate in this meta-analysis, involving 2,158 participants. Our combined results show that: PDSS: [mean difference (MD) =-19.35, 95% CI (-30.4 to -8.28), p<0.0006]; HAMD: [MD = -2.98, 95% CI (-4.29 to -1.67), p<0.00001]; BDI: [MD = -2.69, 95% CI (-4.24 to 4.80), p = 0.006]; HAMA: [MD=-2.00, 95% CI (-2.83 to -1.17), p<0.00001]; MMSE: [MD = 1.20, 95% CI (0.71 to 1.68), p< 0.00001]; CoMA: [MD = 2.10, 95% CI (-0.97 to 3.23), p = 0.0003]; PDQ-39: [MD = -4.03, 95% CI (-5.96 to -1.57), p < 0.00001]. Conclusion: The four non-drug measures used in our review showed significant improvements in sleep, depression, anxiety, cognition, constipation, and quality of life compared with the control group, and no serious adverse events were reported in the included research evidence, and we found that there were some differences among the subgroups of different intervention methods, but due to the less literature included in the subgroup, and the comparison was more indirect. So, we should interpret these results carefully. [ABSTRACT FROM AUTHOR]

Farmers' collective action via cooperatives is critical to achieving a wide range of economic and social benefits that lead to sustainable development and enhance the welfare of rural communities. Adopting a qualitative case study method, the paper compares the development and governance attributes of two cooperatives and seeks to identify how non-economic conditions explain their differences. The cases are selected from the United Kingdom and China, representing different cultural and legislation contexts, to explore the role of culture and legislation in formulating the governance of farmer cooperatives. The results demonstrate that: (1) the formation of member groups due to considerable member heterogeneity may lead to the skewed allocation of control rights and income rights; (2) legislation play an important role in formulating the governance of cooperatives; and (3) national culture potentially has influence on cooperative governance, but direct evidence is in insufficient. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate the legal issues of simultaneous Internet transmission of broadcasting programs of the Open University of Japan (OUJ) and to take legal measures to promote the mutual utilization of open university courses in Japan, the UK, China and Korea. Design/methodology/approach: The author examines the legal relationship regarding Internet simultaneous distribution of broadcast courses at the OUJ. The author then considers the legal relationship between the UK, China and South Korea regarding the simultaneous transmission of broadcast courses over the internet. Based on that consideration, this paper clarifies legal measures to promote its utilization. Findings: Internet transmission of broadcasting courses will be webcasting. Arguably, it can be assumed to be streaming and on-demand, albeit controversial. Webcasting will be publicly transmitted, but there is only an on-demand provision for Internet transmission. As webcasting is streaming and on-demand, it involves reproduction of broadcasting courses. Therefore, webcasting needs to provide streaming provision for public transmission rights and associate them with reproduction right. Originality/value: The originality of this paper lies in clarifying the legal response of the object, subject and rights of webcasting from the perspective of the OUJ, in order to dispel legal problems that may arise in the future against this unexplored phenomenon. Additionally, this paper is valuable in that it presents legal consistency from the point of view of the comparative laws of Japan, the UK, China and South Korea, based on an examination of the legal response in Japan.

The air quality in classrooms significantly impacts school children's health and learning performance. It has been reported worldwide that classroom air quality does not meet the required standard and actions are pledged for improvement. However, it poses a challenge for decision-making in terms of prioritising taking-up measures. The aim of this study is to propose a method of identifying the action measures for improving classroom air quality and prioritising them. Case studies in the UK and China were conducted, and the key measures were identified through literature studies, open-ended questionnaire surveys, and workshop discussions, which are classified into three categories: B1, policy; B2, technology; and B3, information sharing. The analytical hierarchy process (AHP) is applied in the prioritisation of the action measures. A total of 138 teachers and parents from China and the UK participated in this case study. The genetic algorithm-optimised Hadamard product (GAOHP) method is applied to justify the consistency ratio (CR) within the required threshold value in order to ensure the consistency of the subjective perception and the accuracy of comparative weights. The results show that item B2, technology, is the most desired measure by both Chinese and British parents and teachers, despite the deviation from the optimal choice in China and the UK. Among the proposed action measures, the UK respondents strongly expected air purifiers with natural ventilation as opposed to their Chinese counterparts preferring to share the real-time status of classroom air quality. Our work will provide strong support for the subsequent selection of indoor air quality improvement strategies for schools. [ABSTRACT FROM AUTHOR]

Nowadays, the challenges of the industry increasingly demand the manufacture of complex shapes with great design flexibility without waste by 3D printing. Additive manufacturing, unlike traditional manufacturing techniques such as casting and machining, enables designers to rapid prototype while lowering operating costs and material waste during this process. In this way, understanding the current state of the literature related to additive manufacturing processes and the mechanical properties of 3D printed materials is of high importance to determine a research horizon in developing future works of this topic. In this paper, a bibliometric analysis, also named Scientometric science, was implemented. The tendencies and transcendental topics were determined using the Bibliometrix package for R and VOSviewer. Data were exported directly from the Scopus database with a search equation. The results showed that, of the 1271 documents analyzed, 2015 is a year where the research began its developing stage, with a growth rate of 20.8%. The USA resulted to be a leading country in publications followed by China and the UK. Likewise, it is observed that the author with the highest number of publications and h-index is C.B. Williams, followed by A.A. Zadpoor and J. Muller. Besides, the evolution in time of the keywords most used by researchers, and trends and research gaps in the study of additive manufacturing with the mechanical properties of the 3D printing materials are presented. [ABSTRACT FROM AUTHOR]

Various facial colour cues were identified as valid predictors of facial attractiveness, yet the conventional univariate approach has simplified the complex nature of attractiveness judgement for real human faces. Predicting attractiveness from colour cues is difficult due to the high number of candidate variables and their inherent correlations. Using datasets from Chinese subjects, this study proposed a novel analytic framework for modelling attractiveness from various colour characteristics. One hundred images of real human faces were used in experiments and an extensive set of 65 colour features were extracted. Two separate attractiveness evaluation sets of data were collected through psychophysical experiments in the UK and China as training and testing datasets, respectively. Eight multivariate regression strategies were compared for their predictive accuracy and simplicity. The proposed methodology achieved a comprehensive assessment of diverse facial colour features and their role in attractiveness judgements of real faces; improved the predictive accuracy (the best-fit model achieved an out-of-sample accuracy of 0.66 on a 7-point scale) and significantly mitigated the issue of model overfitting; and effectively simplified the model and identified the most important colour features. It can serve as a useful and repeatable analytic tool for future research on facial impression modelling using high-dimensional datasets. [ABSTRACT FROM AUTHOR]

Previous research suggests that different sexual motivations may be associated with different sexual behaviours and levels of sexual satisfaction, and these may vary with cultural differences. As such, sexual motivations and cultural factors might also be associated with quality of life (QoL); however, this has not yet been explored. Using a biopsychosocial approach, this study aimed to explore associations between sexual motivation and quality of life between participants in the United Kingdom and China. 276 participants (143 British, 133 Chinese, mean age = 21.5 years) completed an anonymous online survey including validated measures for sexual motivation (YSEX?-SF) and QoL (WHOQOL-BREF). In multivariable linear regressions, pleasure motivations for sex were associated with increased physical health QoL (aOR = 0.20, 95%CI:.15-.65), while love and commitment motivations were associated with increased psychological health QoL (aOR = 0.13, 95%CI:.01-.43). Both love and commitment motivations (aOR = 0.21, 95%CI:.09-.35) and pleasure motivations (aOR = 0.20, 95%CI:.08-.36) were associated with increased social support QoL. A significant interaction was found between emotional motivations and culture (p = 0.037) such that among individuals from China, emotional motivations (i.e., love and commitment and expression) were positively associated with psychological QoL. This suggests culture may differentially affect how sexual motivations are associated with QoL and warrants further consideration in future research. [ABSTRACT FROM AUTHOR]

Very few developed economies have a full free trade agreement (FTA) with China. This study employs one GTAP model and builds an extended environmental multi-region input–output model to investigate a hypothetical China-UK FTA, concerning embodied industrial emissions of SO2, PM2.5, NOX, and NH3. The economic sectors are also classified based on their embodied pollution intensity and trade advantage index under various FTA scenarios. Results show that the UK's GDP and welfare and China's welfare will increase, along with changes in their trade structures. Overall, this FTA brings about larger net impacts on embodied emissions of SO2 than on PM2.5, NOX and NH3, and both countries are net importers of the latter three pollutants. Key sectors such as non-metallic mineral products, chemical products, and agriculture are inclined to become less competitive and less polluting under the FTA. The inclusion of agri-food sectors exhibits slight counteracting effects in general. The findings are of policy importance as they provide insights into how best to target key sectors, seeking a balance between trade development and environmental protection. [ABSTRACT FROM AUTHOR]

While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are provided in an attempt to identify emerging themes and discuss their implications for education in the 21st century. Affordances of (using) AI in Education (AIEd) and possible adverse effects are identified and discussed which emerge from the narratives. It is argued that now is the best of times to define human vs AI contribution to education because AI can accomplish more and more educational activities that used to be the prerogative of human educators. Therefore, it is imperative to rethink the respective roles of technology and human educators in education with a future-oriented mindset.

In this work, a bibliometric analysis of the investigations of the last 54 years focused on the teaching of topology and its applications in the learning of other areas of knowledge was carried out. The articles that appear in the SCOPUS database were taken into account under the search criteria of the words topology and teaching, connected with the Boolean expression AND in the search field ABS. As a result, 329 articles were obtained which, based on the PRISMA methodology, were reduced to 74 papers. In them publication trends, impact of publications, citation frequencies, among others, were compared. In addition, its use was identified for learning topology at different levels of training, areas of knowledge where this discipline is most applied and strategies used to teach these applications.

A descriptive bibliometric analysis of works on artificial intelligence (AI) in science education is provided in this article to help readers understand the state of the field's research at the time. This study's main objective is to give bibliometric data on publications regarding AI in science education printed in periodicals listed in the Scopus database between 2002 and 2023 end of May. The data gathered from publications scanned and published within the study's parameters was subjected to descriptive bibliometric analysis based on seven categories: number of articles and citations per year, countries with the most publications, most productive author, most significant affiliation, funding institutions, publication source and subject areas. Most of the papers were published between 2016 and 2022. The United States of America, United Kingdom, and China were the top-3 most productive nations, with the United States of America producing the most publications. The number of citations to the publications indexed in Scopus database increased in a progressive way and reached to maximum number in 2022 with 178 citations. Most productive author on this topic was Salles, P. with four publications. Moreover, Carnegie Mellon University, University of Memphis, and University of Southern California have the maximum number of publications as affiliations. The National Science Foundation was the leader funding institution in terms of number of publications produced. In addition, "Proceedings Frontiers in Education Conference Fie" have the highest number of publications by year as a publication source. Distribution of the publications by subject area was analyzed. The subject areas of the publications were computer sciences, social sciences, science education, technology and engineering education respectively. This study presents a vision for future research and provides a global perspective on AI in science education.

This paper investigates the relationship between the COVID-19 pandemic and digital technology with specific focus on the elderly who are acknowledged as being the most vulnerable group in this global health emergency. The paper commences by providing a global context through a brief analysis of both the pandemic spread and digital technology take-up. Clarification is provided for digital divide terminology. Actions and inactions relating to grey digital outcasts are analysed through a snapshot study, using a heuristic approach, of ten countries, including China, the U.K. and U.S. Sources include published papers and articles, newspapers, TV broadcasts, blogs and a qualitative survey. These analyses are used to tease out common global themes and issues. The paper concludes with a derived set of guiding principles which lays the foundation for a global response to address the support of grey digital outcasts particularly in times of crisis. [ABSTRACT FROM AUTHOR]

Background: Emerging evidence suggests the potential mediating role of microbiome in health disparities. However, no analytic framework can be directly used to analyze microbiome as a mediator between health disparity and clinical outcome, due to the non-manipulable nature of the exposure and the unique structure of microbiome data, including high dimensionality, sparsity, and compositionality. Methods: Considering the modifiable and quantitative features of the microbiome, we propose a microbial causal mediation model framework, SparseMCMM_HD, to uncover the mediating role of microbiome in health disparities, by depicting a plausible path from a non-manipulable exposure (e.g., ethnicity or region) to the outcome through the microbiome. The proposed SparseMCMM_HD rigorously defines and quantifies the manipulable disparity measure that would be eliminated by equalizing microbiome profiles between comparison and reference groups and innovatively and successfully extends the existing microbial mediation methods, which are originally proposed under potential outcome or counterfactual outcome study design, to address health disparities. Results: Through three body mass index (BMI) studies selected from the curatedMetagenomicData 3.4.2 package and the American gut project: China vs. USA, China vs. UK, and Asian or Pacific Islander (API) vs. Caucasian, we exhibit the utility of the proposed SparseMCMM_HD framework for investigating the microbiome's contributions in health disparities. Specifically, BMI exhibits disparities and microbial community diversities are significantly distinctive between reference and comparison groups in all three applications. By employing SparseMCMM_HD, we illustrate that microbiome plays a crucial role in explaining the disparities in BMI between ethnicities or regions. 20.63%, 33.09%, and 25.71% of the overall disparity in BMI in China-USA, China-UK, and API-Caucasian comparisons, respectively, would be eliminated if the between-group microbiome profiles were equalized; and 15, 18, and 16 species are identified to play the mediating role respectively. Conclusions: The proposed SparseMCMM_HD is an effective and validated tool to elucidate the mediating role of microbiome in health disparity. Three BMI applications shed light on the utility of microbiome in reducing BMI disparity by manipulating microbial profiles. 6ppc1U8Yu1nT7JqzesB9dW Video Abstract [ABSTRACT FROM AUTHOR]

Background: Several previous studies have shown that dietary patterns are associated with the incidence of depressive symptoms. However, the results have been inconsistent. This study aimed to prospectively investigate the association between dietary patterns and the risk of depressive symptoms in two large cohort studies. Methods: The Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) cohort study included a total of 7,094 participants living in Tianjin, China from 2013 to 2019, and the UK Biobank cohort study includes 96,810 participants who were recruited from 22 assessment centers across the UK taken between 2006 and 2010. All participants were free of a history of cardiovascular disease (CVD), cancer, and depressive symptoms at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated food frequency questionnaire in TCLSIH or Oxford WebQ in UK Biobank. Depressive symptoms were evaluated using the Chinese version of the Zung Self-Rating Depression Scale (SDS) in TCLSIH or hospital inpatient records in UK Biobank. Cox proportional hazards regression models were used to estimate the association between dietary patterns and depressive symptoms. Results: A total of 989, and 1,303 participants developed depressive symptoms during 17,410 and 709,931 person-years of follow-up. After adjusting for several potential confounders, the multivariable HRs (95% CIs) of the depressive symptoms were 0.71 (0.57, 0.88) for traditional Chinese dietary pattern, 1.29 (1.07, 1.55) for processed animal offal included animal food dietary pattern, and 1.22 (1.02, 1.46) for sugar rich dietary pattern in TCLSIH (all Q4 vs Q1). In the UK Biobank, the HRs (95% CIs) of depressive symptoms were 1.39 (1.16, 1.68) for processed food dietary pattern (Q4 vs Q1), 0.90 (0.77, 1.00) for healthy dietary pattern (Q3 vs Q1), and 0.89 (0.75, 1.05) for meat dietary pattern (Q4 vs Q1) in the final adjusted model. Conclusion: Dietary patterns rich in processed foods were associated with a higher risk of depressive symptoms, and following a traditional Chinese dietary pattern or healthy dietary pattern was associated with a lower risk of depressive symptoms, whereas meat dietary pattern was not associated. [ABSTRACT FROM AUTHOR]

The purposes of this paper are to investigate Taiwanese undergraduate students' responses to a selected fictional text, and to propose a critical intercultural pedagogical approach of reading global literature in the EFL educational context based on the insights from the research findings. The authors first critically analysed Xiaolu Guo's third novel, "A Concise Chinese-English Dictionary for Lovers," in terms of Occidentalism, in order to unpack the ideologies underlying her representation of the British and the Chinese. The analysis of the text was conducted through a qualitative approach of critical content analysis. After that, a semi-structured interview was adopted to scrutinise Taiwanese undergraduate students' perceptions of the ideologies underlying the fiction. The analysis of the text identified three themes of British-Chinese binary opposition together with the juxtaposition of ethnocentric Occidentalism and reverse Occidentalism. The findings obtained from interviews indicated that two of the three dichotomies, i.e. individualism versus collectivism and cosmopolitan versus rooted, underlying the fictional text were commonly perceived by the interviewed undergraduates while they had diverse views on the second dichotomy, sexual freedom versus sexual reticence. Furthermore, some students? responses to the fiction signified a subtle, implicit and delicate form of reverse Occidentalism. Based on the above research findings, the authors configured a critical intercultural pedagogy for raising students' capability of decoding and deconstructing Occidentalist ideologies underlying global literature.

During the outbreak of a disease caused by a pathogen with unknown characteristics, the uncertainty of its progression parameters can be reduced by devising methods that, based on rational assumptions, exploit available information to provide actionable insights. In this study, performed a few (~6) weeks into the outbreak of COVID-19 (caused by SARS-CoV-2), one of the most important disease parameters, the average time-to-recovery, was calculated using data publicly available on the internet (daily reported cases of confirmed infections, deaths, and recoveries), and fed into an algorithm that matches confirmed cases with deaths and recoveries. Unmatched cases were adjusted based on the matched cases calculation. The mean time-to-recovery, calculated from all globally reported cases, was found to be 18.01 days (SD 3.31 days) for the matched cases and 18.29 days (SD 2.73 days) taking into consideration the adjusted unmatched cases as well. The proposed method used limited data and provided experimental results in the same region as clinical studies published several months later. This indicates that the proposed method, combined with expert knowledge and informed calculated assumptions, could provide a meaningful calculated average time-to-recovery figure, which can be used as an evidence-based estimation to support containment and mitigation policy decisions, even at the very early stages of an outbreak. [ABSTRACT FROM AUTHOR]

Background: Though links between childhood maltreatment and mental health have been established, little known about how specific types of childhood maltreatment tend to cluster and how the resulting patterns of exposure impact mental health outcomes. Method: The current study used latent profile analyses in Chinese (N = 544) and UK (N = 589) samples to identify childhood psychological maltreatment profiles (i.e., profiles of psychological abuse, psychological neglect, and psychological non-support) in different country contexts, and their associations with a range of mental health (i.e., depression, anxiety, anger, physical aggression, verbal aggression, and hostility), and broader well-being (i.e., self-esteem) outcomes. Unadjusted as well as analyses adjusted for adverse childhood experiences (ACEs) were conducted. Results: Four profiles were identified in both samples, but their nature differed between the Chinese sample ("Psychological Non-support", "Low-Maltreated", "High-Maltreated", and "Severe-Maltreated") and the UK sample ("Low-Maltreated", "Moderate-Maltreated", "High-Maltreated", and "Severe-Maltreated"). Individuals in the "Psychological Non-support" in China and "Low-Maltreated" class in the UK displayed better mental health outcomes–lower levels of depression, anxiety, and aggression, and higher self-esteem. In contrast, individuals in the "Severe-Maltreated" profiles in both the Chinese and UK samples displayed poorer mental health outcomes–higher depression, anxiety, and aggression, and lower self-esteem. Interventions and prevention efforts are needed for individuals categorized in profiles affected by psychological maltreatment. Conclusion: This study highlights the importance of using targeted intervention or prevention to prevent psychological maltreatment, as well as improve mental health outcomes in individuals who have experienced psychological maltreatment. [ABSTRACT FROM AUTHOR]

Pig manure currently results in sizeable greenhouse gas emissions, during storage and spreading to land. Anaerobic digestion and hydrothermal carbonisation could provide significant greenhouse gas mitigation, as well as generate renewable heat and power (with anaerobic digestion), or a peat-like soil amendment product (with hydrothermal carbonisation). The greenhouse gas mitigation potential associated with avoidance of pig manure storage and spreading in the UK, EU, and China, as well as the potential to provide heat and power by anaerobic digestion and soil amendment products by hydrothermal carbonisation was herein determined. In each case, the mono-conversion of pig manure is compared to co-conversion with a 50:50 mixture of pig manure with grass. Anaerobic digestion displayed a greater greenhouse gas mitigation potential than hydrothermal carbonisation in all cases, and co-processing with grass greatly enhances greenhouse gas mitigation potential. China has the largest greenhouse gas mitigation potential (129 MT CO2 eq), and greatest mitigation per kg of pig manure (1.8 kgCO2/kg pig manure volatile solids). The energy grid carbon intensity has a significant impact on the greenhouse gas mitigation potential of the different approaches in the different regions. Pig manure is generated in large amounts in China, and the energy generated from biogas offsets a higher carbon intensity grid. Greenhouse gas savings from the anaerobic digestion of pig manure and grass have been calculated to provide a significant potential for reducing total greenhouse gas emissions representation in China (1.05%), the EU (0.92%), and the UK (0.19%). Overall, the utilisation of pig manure could bring about substantial greenhouse savings, especially through co-digestion of pig manure with grass in countries with large pig farming industries and carbon intense energy mixes. [ABSTRACT FROM AUTHOR]

Background: With effective control of point source pollution, non-point source (NPS) pollution has been widely concerned as the primary reason for the improvement of global water environmental quality. Some bibliometric analysis related to NPS pollution has been carried out before the mid-2010s. Analyzing the research status and hot issues of NPS pollution in the past decade is important for guiding the control and management of NPS pollution in the future. Results: A bibliometric analysis was conducted based on 3407 publications retrieved from the Web of Science during 2012–2021. China, USA and UK were the most productive countries. Sci. Total Environ, Environ. Sci. Pollut. Res, and Water were the most productive journals. The NPS pollutant, pollution types, driving forces, technology and the research object were retrieved from the keywords analysis. The common NPS pollutants of nitrogen, phosphorus, and heavy metals grabbed the highest attention, while the emerging contaminants have attracted increased attention. The migration and transformation of agricultural NPS pollution and urban NPS pollution driven by climate change and land use change were hot issues related to NPS pollution studies. Technologies related to the combination of 3S technology (RS, GIS, and GPS) and NPS pollution models, the sustainable control technologies, the technology of accurate traceability and automatic monitoring, and the comprehensive management plan were the important research areas related to NPS pollution. Although the research locations were mostly concentrated in the surface water and groundwater, the ocean and drinking water have great potential for future research. Conclusions: This study illustrates the global focuses related to NPS pollution during 2012–2021 according to analyzing the publication outputs, source journals, source country, author, institution and the high-frequency keywords. Results demonstrated that the migration and transformation mechanism and ecological risk assessment for heavy metals and emerging pollutants, accurate traceability techniques, sustainable ecological restoration control techniques, and marine pollution have attracted rising attention. Additionally, developing countries will have a higher interest in NPS pollution in the future, because developed countries have already made great progress in controlling NPS pollution. [ABSTRACT FROM AUTHOR]

This article, which is part of an on-going large-scale study, quantitatively explores and compares the frequency, patterns, and positions of the three most frequently used discourse markers (DMs): so, and, but in TV interviews. The data comprise three corpora consisting of three media programs from China, the US, and the UK. Results show that there is a statistically significant difference in the frequency of the DM so and the DM and, with each DM having the highest frequency in a specific corpus. Four co-occurring strings ("and so," "and but," "so but," "but so") are identified in the three corpora with the DM cooccurrence "and so" having the highest frequency in the American program, supporting the claim that this combination is a typical use in American English. The general positional distribution of the three DMs is similar with the highest tendency in the initial position, which can be attributed to the program's interactivity. The findings will enhance our understanding of the three DMs used in media discourse and should be of practical significance to media hosts and guests in achieving better bilateral communication. [ABSTRACT FROM AUTHOR]

Purpose: The systematic review aims to analyze and summarize the characteristics of living systematic review (LSR) for coronavirus disease 2019 (COVID-19). Methods: Six databases including Medline, Excerpta Medica (Embase), Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Database and China Science, and Technology Journal Database (VIP), were searched as the source of basic information and methodology of LSR. Descriptive analytical methods were used to analyze the included COVID-19 LSRs, and the study characteristics of COVID-19 LSRs were further assessed. Results: Sixty-four COVID-19 LSRs were included. Eighty-nine point one percent of LSRs were published on Science Citation Index (SCI) journals, and 64.1% publication with an impact factor (IF) > 5 and 17.2% with an IF > 15 among SCI journals. The first unit of the published LSRs for COVID-19 came from 19 countries, with the largest contribution from the UK (17.2%, 11/64). Forty point six percent of LSRs for COVID-19 were related to therapeutics topic which was considered the most concerned perspective for LSRs for COVID-19. Seventy-six point six percent of LSRs focused on the general population, with less attention to children, pregnant women and the elderly. However, the LSR for COVID-19 was reported incomplete on "living" process, including 40.6% of studies without search frequency, 79.7% of studies without screening frequency, 20.3% of studies without update frequency, and 65.6% of studies without the timing or criteria of transitioning LSR out of living mode. Conclusion: Although researchers in many countries have applied LSRs to COVID-19, most of the LSRs for COVID-19 were incomplete in reporting on the "living" process and less focused on special populations. This could reduce the confidence of health-care providers and policy makers in the results of COVID-19 LSR, thereby hindering the translation of evidence on COVID-19 LSR into clinical practice. It was necessary to explicitly enact preferred reporting items for systematic reviews and meta-analyses (PRISMA) to improve the reporting quality of LSR and support ongoing efforts of therapeutics research for special patients with COVID-19. [ABSTRACT FROM AUTHOR]

This study investigates gold as a hedge or a safe haven against inflation in four countries. We propose two standard and quantile techniques in the volatility models, with a time-varying conditional variance of regression residuals based on TGARCH specifications. Gold exhibits considerable evidence of a strong hedge in the US and China. Nevertheless, gold provides shelter at different times and not consistently across countries. With regards to be a safe haven, gold retains its status as a key investment in China. On the other hand, gold only plays a minor role in the UK and India. These findings indicate that gold can secure Chinese investment during the high inflationary periods, while gold is a profitable asset to hold over a long period of time in the US. In contrast, UK and Indian investors should hold a well-diversified portfolio for sustainable return and protection from purchasing power loss. [ABSTRACT FROM AUTHOR]

This analysis contributes to a fast-growing body of literature on Sino-Western relations and the tension between economic and security interests. It takes Britain's China policy as a case study considering the Integrated Review 2021. It argues that London's stance towards Beijing has shifted – officially – from the so-called "golden era" to a complex phase of diplomatic–military tensions and scrutinised economic relations, principally because of US pressure. However, this shift de facto has not had a structural impact on the economic side of the relationship between London and Beijing. The article reaches this conclusion by framing its narrative through the lens of the economy-security conundrum at the heart of the Liberal International Order and through the lens of the New Cold War between the US and China. These two factors are crucial for understanding the change between Britain's China policy pre- and post-2016. [ABSTRACT FROM AUTHOR]

This study analyses the contagion effects of the American, the British and the Greek stock markets on the Chinese stock market in the context of the 2007-2010 American and European financial crises. Two contagion tests have been performed using the Archimedean copula functions. The results of the first test suggest that the financial contagion existed between UK/China in the 2007 subprime financial crisis period and between U.S./China and U.K./China in the 2010 European sovereign debt crisis period. Finally, the second test shows that the contagion effects of the 2010 European sovereign debt crisis were clearly more intense than those caused by the 2007 subprime financial crisis just for the U.S./China pair. Investors' sentiment and behavior indirectly have impact on financial risk contagion in Chinese stock markets. [ABSTRACT FROM AUTHOR]

Social media platforms (SMPs) generate revenue from the automatic propertisation of data contributed by users (i.e. they process these data algorithmically to feed products and services they sell to other customers, especially advertisers). This comparative study of the UK and China builds on key law and policy documents as well as in-depth interviews with 25 experts. We find that neither the human rights–based regulatory approach in the UK nor the impact-based approach of China provides users with economically meaningful forms of redress for harm suffered due to insufficient protection of their rights as data subjects. The study reveals the reasons for this: (1) by analysing data subjects' rights in data protection law and establishing whether these rights preserve the economic interests of data subjects pertaining to their data; (2) by spelling out the conditions under which users can exercise their rights and (3) through an in-depth analysis of the existing mechanisms, which are not suitable to protect data subjects' economic interests during automatic propertisation. This also helps us to understand the social impacts of China's recently approved Personal Information Protection Law. Finally, it suggests two possible ways to improve the balance between the economic interests of data controllers and data subjects. [ABSTRACT FROM AUTHOR]

This study explores the relationship between board committees' independence and the financial distress of firms in China and the UK. Akin to previous literature, we estimate this relationship between 2007 and 2016 using a conditional logit model on a sample of matched pair firms. For China, the results indicate a positive and statistically significant association between the percentage of independent audit committee members and the financial distress of firms. In contrast, the opposite relationship was found for independent compensation and nomination committee members. For the UK, the relationships are the same, but the results are significant only for nomination committee independence. Our overall results suggest that independent audit committee members are not favorable for firm survival. In contrast, the independent compensation and nomination committee members are beneficial for the financial health of firms, as they are responsible for designing fair compensation packages and for selecting the most suitable persons to decide the strategic moves of the firm, respectively. A robustness test demonstrates that the results are robust to the assumed functional form imposed by the conditional logit model and confirms our core findings for both Chinese and UK firms. [ABSTRACT FROM AUTHOR]

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