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The objectives of this research are to study: (i) the history and development of knowledge of Yiwulv Mountain Manchu paper-cutting art, and (ii) the process of designing and developing digital media for learning about cultural heritage. This research used qualitative research methods. By studying documents and collecting field data by surveys, interviews, observations, group discussions, and workshops. The data was elicited from a group of 40 participants. The analysis was based on the objectives and the results were presented in a descriptive analytical manner. The results are as follows: (i) The art of paper-cutting is related to history and culture. There is a unique cultural identity of the Manchus on Yiwulv Mountain. The way of conveying knowledge is told orally. Currently, there is a problem due to the age of paper-cutting artists and lack of inheritance. Therefore, it is necessary to find ways to protect them as well as transfer them to youth and those who are interested. (ii) The art of paper-cutting is applied with 3D animation technology to inherit and learn the art of Yiwulv Mountain Manchu paper-cutting. The teaching materials created can be explained in detail from the perspective and content. The design combines virtual tour technology to make it interesting. Learners study through digital media and computer systems, which makes it convenient to access information.

Paper mill sludge (PMS) is featured with a high content of cellulose and hemicellulose, and using its characteristics to make paperboard can achieve a high-value utilization of PMS, which has attracted growing interest. In this study, currently prevalent landfill, incineration technologies (generating heat and electricity by incineration), and three paperboard technologies (medium density fiberboard, pulp board, and corrugated paper) were evaluated and compared via life cycle assessment (LCA) and life cycle costing (LCC) methods. LCA results show that the PMS-to-pulp board outperforms others with an energy conservation and emission reduction (ECER) value of - 2.86 × 10 -8 , while the landfill exhibits the highest overall environmental impact with an ECER value of 4.80 × 10 -9 . LCC results reveal that the PMS-to-pulp board delivers the highest economic profit with $257.357, while the landfill is the lowest with $ - 35.63. The PMS paperboard technologies are more economically friendly than the incineration technologies due to additional electricity/steam consumption during the PMS pre-drying process in incineration. In addition, different scenarios were set up to explore national GHG emission reduction potential by increasing paperboard technologies application rate and reducing the proportion of landfill and incineration. The scenario analysis suggests that replacing 90% of landfill and incineration ratio with PMS paperboard technologies could tremendously improve the overall emission reduction performance with - 9.08 × 10 10 kg CO 2 eq. This result indicates that the PMS treatment technology transformation has a significant favorable impact on the achievement of the "carbon neutrality" target., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

We examined how a group of Chinese undergraduate students understood paraphrasing and source use conventions for research paper writing in English. Prior scholarship has generated valuable insights about novice second language (L2) writers' unconventional source use practices, but little is known about how these writers interpret and understand source use expectations for English academic writing. We followed a group of nine Chinese undergraduate students for an academic term as they learned to paraphrase and write with sources for their research paper assignments. Drafts of students' papers were collected and rounds of text-based interviews were conducted where students were asked to explain their source use decisions. Findings showed that the students actively and constantly referenced their source use knowledge of Chinese essay writing to help make sense of source use expectations for English academic writing, although their understanding of English academic source use as well as their rendition of culture may likely be viewed by expert academic writers as 'insufficient' or 'inadequate'. We conclude by highlighting the importance of foregrounding learner voice and acknowledging the legitimacy of the interpretations of novice L2 writers as intercultural informants in the teaching of English academic source use.

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the population aging in China, the prevalence and mortality rate of Alzheimer's disease (AD) have been rising in China. AD has become one of the major threats to people's health and social sustainable development. In order to support the Healthy China Initiative and promote health in China, "Chinese Alzheimer's Disease Blue Book (Simplified Edition)"(refer to as the Blue Book) was compiled by experts and scholars from the National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University; the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; the National Health Commission Capacity Building and Continuing Education Center; and the China Population and Development Research Center. The epidemiological characteristics, diagnosis and treatment status, prevention and treatment management of AD and related cognitive disorders in China were systematically reviewed in the Blue Paper, aiming to provide references for the prevention of AD, provide support for the standardized diagnosis and treatment of the disease, and provide a reference for the government to formulate relevant health policies. Specifically, the Blue Book covers the following topics of AD and related cognitive disorders: (1)epidemiology characteristics; (2)economic burden; (3)influencing factors; (4)China Brain Cognitive Health Index; (5) diagnosis status; (6)treatment status; (7)construction of national center for cognitive disorders;(8)community-based prevention and control; (9) AD patients care; (10)public health resources for prevention and control.

Xuan paper is one of the most famous handmade papers in China and is an important paper for conservation. However, the evenness of Xuan paper has not yet received much attention. In this study, the distribution of the in-plane grammage and mechanical properties of Xuan paper are measured. It is found that the distribution of the in-plane grammage and mechanical properties of Xuan paper is uneven. In the handmade direction, the grammage and mechanical properties of Xuan paper are overall largest in the lower area, followed by the upper and middle areas. The sheet forming process of Xuan paper has an important effect on the distribution of in-plane grammage, mechanical properties, and fiber orientation of Xuan paper. The folded state has a negative effect on the mechanical properties of the folded area of Xuan paper. This study will help raise awareness of the unevenness in physical properties of Xuan paper, which is important in both conservation and research applications. [ABSTRACT FROM AUTHOR]

Objective: The primary objective of this inquiry was to explore the nexus between authorship attribution in medical literature and accountability for scientific impropriety while assessing the influence of authorial multiplicity on the severity of sanctions imposed., Methods: Probit regression models were employed to scrutinize the impact of authorship on assuming accountability for scientific misconduct, and unordered multinomial logistic regression models were used to examine the influence of authorship and the number of bylines on the severity of punitive measures., Results: First authors and corresponding authors were significantly more likely to be liable for scientific misconduct than other authors and were more likely to be penalized particularly severely. Furthermore, a negative correlation was observed between the number of authors' affiliations and the severity of punitive measures., Conclusion: Authorship exerts a pronounced influence on the attribution of accountability in scientific research misconduct, particularly evident in the heightened risk of severe penalties confronting first and corresponding authors owing to their principal roles. Hence, scientific research institutions and journals must delineate authorship specifications meticulously, ascertain authors' contributions judiciously, bolster initiatives aimed at fostering scientific research integrity, and uphold an environment conducive for robust scientific inquiry., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Peng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: Distinguishing and categorizing the origin of garlic are highly significant, considering its widespread use as a flavoring agent. With billions of dollars annually in global trade, garlic is frequently susceptible to fraudulent practices., Methodology: Paper spray ionization mass spectrometry (PS-MS) was employed to quickly analyze garlic samples from distinct geographic origins: China and Brazil. The so-generated PS-MS data were treated with metabolomic multivariate approaches, and the garlic samples from these different geographic regions were easily discriminated., Results: Brazilian garlic was characterized to contain higher levels of amino acids, such as arginine, proline, and valine, and organosulfur compounds, such as allicin, alliin, and l-γ-glutamil-S-allyl-l-cysteine, compared to Chinese garlic. The PS-MS data were treated employing multivariate approaches, typically used in the metabolomics field, and this protocol was promptly able to discern among both types of samples., Conclusion: Hence, this combined strategy holds promise not only as an effective tool for the authentication of the geographical origin of garlic but also as a powerful means for biomarker discovery., (© 2024 John Wiley & Sons Ltd.)

The chemical oxygen demand (COD) emissions from the pulp and paper industry in China have declined continuously since the tighter COD discharge standards were implemented in 2008. Using firm-level data from 2003 to 2013, we investigate how China's pulp and paper firms would respond to the tighter COD discharge standards with a difference-in-differences design. We find that the tighter COD discharge standards have significant causal effects to induce the pulp and paper firms to reduce their COD emissions primarily through adopting cleaner production. However, the effectiveness of the tighter COD discharge standards depends on monitoring and enforcement activities as well as other regulations accompanying with the tighter COD discharge standards, all of which have become strengthened since China's 11th Five-Year-Plan (FYP, 2006–2010). While strengthened environmental regulations since the 11th FYP are from the top leadership of the Chinese government in order to deal with the increasing environmental degradation, the underlying driving force of the strengthened environmental regulations is from the household demand for better environmental quality as income increases. This study enriches literature not only on firms' responses to environmental regulations in developing countries but also on environmental regulations and technology adoption as well as environmental enforcement and compliance. [ABSTRACT FROM AUTHOR]

In the late Qing Dynasty, religious periodicals by Western missionaries were made legal in China, and subsequently became an important manner of their missionary cause. Among them, Child's Paper 小孩月报 (1875–1881) by John Marshall Willoughby Farnham, a Protestant missionary from the United States, endeavoured to convert child readers by carrying children's stories of moral and emotional education. By concentrating on the educational elements of Child's Paper, this article inspects how conversion was achieved via the intertextual interpretation of Christian doctrines within these educational elements. Specifically, how the image of little Christians and urchins, respectively, represents salvation and redemption in Christian morals. This article holds that the missionaries' stress on the authority of Christian discourse in the education of Chinese children makes evident an increasing emphasis on the reformative effects of Christianity on Chinese children. Moreover, the conversion-education efforts by missionaries also construed helping Chinese children gain a cross-cultural perspective on Western religion, and arguably inspired later Chinese intellectuals' to create newspapers for the purpose of the pre-primary education of Chinese children. [ABSTRACT FROM AUTHOR]

Congestion is a well-known economic phenomenon in which excessive inputs lead to a decrease in the maximum possible outputs. This study analyzes the relationship between congestion and overinvestment using a data envelopment analysis framework to reveal that some congestion can be eliminated by increasing inputs. The proposed approach classifies congestion into two categories, relative and absolute congestion, depending on the possibility of eliminating congestion by increasing inputs. Corresponding methods for identifying and measuring congestion are proposed and employed for empirical analyses examining China's papermaking and paper products industry. We find that most congestion in 2013–2016 is in the relative congestion and could be eliminated by increasing inputs. The primary causes of congestion are identified based on our analysis and corresponding policy suggestions are proposed for eliminating congestion. [ABSTRACT FROM AUTHOR]

The 2022 anti–zero Covid White Paper protests that erupted in China and its diaspora demonstrated the intertwinement of politics and performance in contemporary China. The symbolic dimensions of blank sheets of A4 paper and other performative tactics used in these demonstrations exemplify the shifting roles of performance art in the field of contemporary Chinese art. [ABSTRACT FROM AUTHOR]

Background: Academic paper writing holds significant importance in the education of medical students, and poses a clear challenge for those whose first language is not English. This study aims to investigate the effectiveness of employing large language models, particularly ChatGPT, in improving the English academic writing skills of these students., Methods: A cohort of 25 third-year medical students from China was recruited. The study consisted of two stages. Firstly, the students were asked to write a mini paper. Secondly, the students were asked to revise the mini paper using ChatGPT within two weeks. The evaluation of the mini papers focused on three key dimensions, including structure, logic, and language. The evaluation method incorporated both manual scoring and AI scoring utilizing the ChatGPT-3.5 and ChatGPT-4 models. Additionally, we employed a questionnaire to gather feedback on students' experience in using ChatGPT., Results: After implementing ChatGPT for writing assistance, there was a notable increase in manual scoring by 4.23 points. Similarly, AI scoring based on the ChatGPT-3.5 model showed an increase of 4.82 points, while the ChatGPT-4 model showed an increase of 3.84 points. These results highlight the potential of large language models in supporting academic writing. Statistical analysis revealed no significant difference between manual scoring and ChatGPT-4 scoring, indicating the potential of ChatGPT-4 to assist teachers in the grading process. Feedback from the questionnaire indicated a generally positive response from students, with 92% acknowledging an improvement in the quality of their writing, 84% noting advancements in their language skills, and 76% recognizing the contribution of ChatGPT in supporting academic research., Conclusion: The study highlighted the efficacy of large language models like ChatGPT in augmenting the English academic writing proficiency of non-native speakers in medical education. Furthermore, it illustrated the potential of these models to make a contribution to the educational evaluation process, particularly in environments where English is not the primary language., (© 2024. The Author(s).)

Objective: To analyze the characteristics of highly-cited papers in Chinese Journal of Epidemiology from 2020 to 2023, and provide a basis for subsequent paper solicitation and identify research hotspots. Methods: On December 9, 2023, the citation frequency of each paper in Chinese Journal of Epidemiology from 2020 to 2023 was obtained from China National Knowledge Infrastructure. The total citation frequency of each paper was sorted using Excel 2016 software, and papers with citation frequency ≥30 were extracted for analysis. The keywords of the papers and Contents in Brief were analyzed. Results: A total of 1 317 papers were included in the analysis, of which 389, 342, 308 and 278 papers were included from 2020 to 2023. The total citation frequency was 11 873, and all papers were cited with an average citation frequency of 9. The keywords with high citation frequency in the papers included 2019-nCoV, hypertension, colorectal tumor, hand-foot-mouth disease, hepatitis B. and the average frequency of citation were 162, 77, 62, 51 and 47, respectively. There were 15 highly cited Contents in Brief in total, 11 of which are vital Contents in Brief or unique Contents in Brief, including Response to COVID-19 Epidemic, China Kadoorie Biobank, Epidemiological Research on Infectious Diseases, Healthy Ageing, Colorectal Cancer Prevention and Control, Prevention and Control of Hepatitis B, Quality Assessment of Cancer Screening Guidelines and Consensus, The 40 th Anniversary of Chinese Journal of Epidemiology , Expert Forum, Review, Standard-Protocol-Guide. The total citation frequency was 3 951, accounting for 72.6% (3 951/5 438) of highly cited papers. Conclusions: In the past four years, the highly cited papers of this journal mainly focused on the research field of emerging infectious diseases and chronic diseases. The response to the 2019-nCoV epidemic highlights the academic leading role. The effect of selecting and planning a topic, commissioning authors to write on given topics and making an arrangement in advance with a subject for contribution to vital Contents in Brief or unique Contents in Brief of this journal is pronounced, and the academic influence of the journal continues to improve.

Objective: To analyze the characteristics of retracted oncology papers from Chinese scholars and the reasons for retraction., Methods: Data on retracted oncology papers from Chinese scholars published from 2013 to 2022 were retrieved from the Retraction Watch database. The retraction number and annual distribution, article types, reasons for retraction, retraction time delay, publishers, and journal characteristics of the retracted papers were analyzed., Results: A total of 2695 oncology papers from Chinese scholars published from 2013 to 2022 had been retracted. The majority of these papers were published from 2017 to 2020. In terms of article type, 2538 of the retracted papers were research articles, accounting for 94.17% of the total number of retracted papers. The main reasons for retraction were data, result, and image problems, duplicate publication, paper mills, author- and third-party-related reasons, plagiarism, false reviews, and method errors. The retraction time delay for the retracted papers ranged from 0 to 3582 days (median, 826 days). The retractions mainly occurred within the first 4 years after publication. A total of 77 publishers were involved in the retracted papers. In terms of journal distribution, 394 journals were involved in the retracted papers, of which 368 (93.40%) were included in the SCI database. There were 243 journals with an impact factor of <5 (66.03%)., Conclusion: In the field of oncology, the annual distribution of retracted papers from Chinese scholars exhibited first an increasing and subsequently a decreasing trend, reaching a peak in 2019, indicating an improvement in the status of retraction after 2021. The main type of the retracted papers was research article, and the main reason for retraction was academic misconduct. The retractions were mainly concentrated in several major publishers and periodicals in Europe and the United States. Most of the journals had low-impact factors., (Copyright © 2024 Copyright: © 2024 Journal of Cancer Research and Therapeutics.)

The contamination characteristics, migration patterns and health risks of per- and polyfluoroalkyl substances (PFAS) were investigated in 66 Chinese paper products by using target and non-target screening methods. Among 57 target PFASs, 5 and 6 PFASs were found in the hygiene paper products (n F 2n+1 COOH. Microwave heating can increase the release of PFAS in popcorn bags and convert long-chain PFAS into short-chain ones. The migration experiments indicated that the ethanol in food simulants can increase the migration of PFAS, and short-chain PFAS exhibits a greater migration trend. The estimated daily intake (EDI) values for 6 of 18 paper bowls/plates exceeded the recommendation of 0.63 ng/kg bw/day by the European Food Safety Authority (EFSA), posing a potential threat to human health., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Accompanying China's accession to the World Trade Organization, the rapid development of the Chinese economy has led to increasingly serious environmental issues. However, the inherent mechanisms underlying the impact of Environmental Information Disclosure (EID) policy and trade on the environmental effects of Chinese paper enterprises remain unclear in the context of the era's requirement for a resource-conserving and environmentally-friendly society. The pollution problem in the papermaking industry has received attention worldwide, and how to balance the environmental and development issues of papermaking enterprises is an urgent issue that needs to be solved in the academic community. This study explores the impact mechanisms of EID policy and trade on the environmental effects of enterprises from the perspective of financial constraints. Utilizing the PSM-DID model, the study investigates the moderating effects of financial constraints on the EID policy and import-export trade. The findings reveal that both external and internal financial constraints have negative, detrimental effects on the environmental effects of the EID policy and trade. These constraints impede research and development investment and technological upgrades, hinder productivity improvement, and hamper the realization of "regulatory and trade innovation effects". This study enriches our understanding of the mechanisms by which trade affects the environmental effects of Chinese paper enterprises and further identifies the impacts of Chinese EID policy and trade on pollution emissions by enterprises, providing a theoretical basis and practical foundation for the government in formulating financial, environmental, and trade policies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: The advent of Personalized Medicine (PM) holds significant promise in revolutionizing healthcare by tailoring treatments to individual patients based on their data. However, its successful implementation requires the seamless integration of innovative technologies and presents formidable challenges in terms of sustainability. To tackle these challenges head-on, the International Consortium for Personalized Medicine (ICPerMed) was established, and the IC2PerMed project, as part of this consortium, seeks to foster collaboration between the European Union (EU) and China in the field of Personalized Medicine. Based on the results collected by the project, the objective of this study is to discern the key priorities for the implementation of Personalised Medicine concerning Information and Communication Technologies (ICT) and Big Data and digital solutions, with a particular emphasis on data management and protection., Methods: A Delphi survey was conducted to gather expert's consensus on the main priorities for actions on Information and Communication Technologies (ICT) and Big Data and digital solutions in the field of Personalized Medicine., Results: The survey identified seven priorities in the area of Big Data and digital solutions, including data interoperability, standards, security measures, and international partnerships. Additionally, twelve priorities were identified for the innovation-to-market process, emphasizing cost-effectiveness, need assessment, and value definition in resource allocation., Conclusions: The effective implementation of new technologies in Personalized Medicine research and practice is essential for the advancement of healthcare systems in both the European and Chinese contexts. The identified priorities play a pivotal role in promoting the sustainability of health systems and driving innovation in the implementation of Personalized Medicine. Addressing challenges related to data interoperability, standards, security, international collaboration, cost-effectiveness, and value assessment is of utmost importance in order to propel the progress of Personalized Medicine in healthcare systems., (© 2024. The Author(s).)

Kaihua paper is a type of precious hand-made paper in China that has been used throughout Chinese history. Due to its extraordinary whiteness and fine texture, it was adopted by the imperial palace in the reign of Emperor Kang Xi and Yong Zheng of the Qing Dynasty of China in the 17th and 18th century. It is stained by a special type of yellowish-brown spot after years of storage, which is called a "peachy spot." The formation of such spots remains unclear, although complicated physicochemical processes or microbial activities might be involved. We performed nondestructive sampling and high-throughput sequencing on peachy spot surfaces, unstained areas, and air samples in the stack room to analysis the the bacterial and fungal communities, and performed prediction of functional genes of the bacterial communities. The results showed that peachy spot formation was mainly related to bacterial communities rather than fungal communities. Significantly more potential acid-producing, acidophilic or cellulase-producing bacteria, such as, Streptococcus, Staphylococcus, and Lysinibacillus, and pigment-producing bacteria, such as Methylobacterium and Rubrobacter, were identified in the peachy spot samples. Prediction of the functional genes of the bacterial community also suggested the production of acidic substance pigments. These findings provide new insights into the pigment formation mechanism in ancient paper and open an opportunity to develop new strategies to preserve the ancient paper documents. [ABSTRACT FROM AUTHOR]

Purpose: There are major gaps in our knowledge of hereditary ocular conditions in the Asia-Pacific population, which comprises approximately 60% of the world's population. Therefore, a concerted regional effort is urgently needed to close this critical knowledge gap and apply precision medicine technology to improve the quality of lives of these patients in the Asia-Pacific region., Design: Multi-national, multi-center collaborative network., Methods: The Research Standing Committee of the Asia-Pacific Academy of Ophthalmology and the Asia-Pacific Society of Eye Genetics fostered this research collaboration, which brings together renowned institutions and experts for inherited eye diseases in the Asia-Pacific region. The immediate priority of the network will be inherited retinal diseases (IRDs), where there is a lack of detailed characterization of these conditions and in the number of established registries., Results: The network comprises 55 members from 35 centers, spanning 12 countries and regions, including Australia, China, India, Indonesia, Japan, South Korea, Malaysia, Nepal, Philippines, Singapore, Taiwan, and Thailand. The steering committee comprises ophthalmologists with experience in consortia for eye diseases in the Asia-Pacific region, leading ophthalmologists and vision scientists in the field of IRDs internationally, and ophthalmic geneticists., Conclusions: The Asia Pacific Inherited Eye Disease (APIED) network aims to (1) improve genotyping capabilities and expertise to increase early and accurate genetic diagnosis of IRDs, (2) harmonise deep phenotyping practices and utilization of ontological terms, and (3) establish high-quality, multi-user, federated disease registries that will facilitate patient care, genetic counseling, and research of IRDs regionally and internationally., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest to disclose., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Introduction: Over the last decade, the emergence and spread of personalized medicine (PM) have defined a substantial revolution in healthcare. In principle, healthcare system sustainability is challenged by the investments required for research and development, as well as the adoption of PM techniques in routine clinical care. The "Integrating China in the International Consortium for Personalized Medicine" (IC2PerMed) EU-funded project aims to integrate China into the "International Consortium for Personalized Medicine" (ICPerMed). IC2PerMed aims to align the EU and China's research agendas in this field to enable a swift development of approaches in the EU and China with strong leverage upon EU-Chinese collaborations., Methods: Within this project, we first mapped relevant policies on PM in both the EU and China, and then we involved European and Chinese experts in PM in workshops and Delphi surveys in order to identify relevant priorities for the implementation of PM in sustainable healthcare., Results: As a result of this process, we identified nine overarching priorities, each addressing specific aspects of the sustainability of healthcare systems and PM implementation, with the main goal of supporting policymakers in integrating PM approaches in the EU and China., Discussion/conclusion: The implementation of PM in health systems is appealing in terms of improved accuracy in diagnostics, treatment, and prevention of disease, as well as reduction of the side effects resulting from inefficient use of drugs. Research, development, and implementation of needed techniques require time and resources that can slow the adoption of PM in healthcare systems. The nine priorities we identified address some of the most critical points, trying to lay the foundations for a comprehensive approach., (© 2023 The Author(s). Published by S. Karger AG, Basel.)

Carbon emission issues are becoming increasingly severe, and the carbon emissions in shrinking cities, primarily characterized by population loss, are often overlooked and insufficiently studied. This paper focuses on the carbon emissions from county-level administrative units in China's three northeastern provinces from 2001 to 2017. The study scientifically identified shrinking cities and measured the differences in carbon emission characteristics between growing and shrinking cities using the Theil index. Ultimately, the paper constructs a panel spatial econometric model to analyze the factors influencing them and explore their spatial effects. (1) The total carbon emissions in the Three Northeastern Provinces exhibited an inverted U-shaped trend, increasing from 734.21 million tons in 2001 to 1731.73 million tons in 2017, with the Mann–Kendall trend test showing a significant increase; spatially, this manifests as a significant positive spatial autocorrelation. (2) The region has 138 shrinking cities, accounting for over 50%; regarding carbon emission characteristics, the Theil index has consistently remained above 0.18, indicating significant differences between the carbon emissions of growing and shrinking cities. (3) The panel spatial econometric model results show that the influencing factors of carbon emissions in shrinking cities have unique directions, intensities, and spatial effects. In shrinking cities, aside from localized GDP effects and per-capita GDP acting as a suppressant, the population size has a pronounced inhibitory effect on local and surrounding carbon emissions. The analysis reveals significant differences in the carbon emission patterns and mechanisms between growing and shrinking cities; based on these results, the paper proposes differentiated carbon control strategies. [ABSTRACT FROM AUTHOR]

This paper studies the impact of digital economy development on carbon emissions, which is a hot topic in the field of environmental economics. This topic is within the scope of the Frontiers in Environmental Science and is particularly in line with the theme of Environmental Economics and Management section in the journal. Firstly, this paper constructs the Digital Economy Development Index and its variable indicators to measure the development of the digital economy. Secondly, this paper uses urban panel data to reveal the impact of digital economy development on carbon emissions, and further adopts IV method to deal with endogeneity issues. Thirdly, this paper performs the heterogeneity analyses depending on the characteristics of the city. The results can provide a basis for formulating differentiated policies. Fourthly, this paper further explores the mechanism by which the digital economy affects carbon peaking. The results show that the digital economy may influence carbon peaking through upgrading of the industrial structure, technical innovation, and energy consumption. [ABSTRACT FROM AUTHOR]

Electronic waste is always a big problem when it comes to the disposal of electronic appliances, and they pose a significant threat ecologically. New technology replaces the existing one, and the older one is discarded. Biodegradable electronics, as an emerging research area, gives viable solutions to the problem of E-waste. It mainly deals with the development of transient electronic devices, i.e., getting decomposed gradually or dissolvable in an eco-friendly way when their purpose has been achieved. This paper presents a scientometric analysis of the research in biodegradable electronics by employing a Scopus database of more than 1109 research articles, conference papers, review papers, and books published on this topic. This study is done over two decades of data from 2003 to 2023 on biodegradable electronics. It describes the trends and future of the research area using keyword analysis, citation network, and bibliometric tools. The study of the number of papers shows a 68%, 75%, and 55% increase in research articles, conference papers, and review documents in 2022. The country-wise contribution to the research shows that China, the USA, India, and South Korea are the major contributing nations. China is the most productive nation, with 297 publications. This paper reveals that the research area has increased the interest of researchers, and countries are collaborating to achieve sustainable development goals. The bibliometric analysis identifies various challenges to biodegradable electronics, such as degradation diversity, integration, fabrication and scalability. Based on these, the future aspects of biodegradable electronics are identified in organic bioelectronics, soft electronics, novel fabrication mechanisms, and Innovative chemistry for green electronics. This study will aid academia, researchers and government agencies in exploring biodegradable electronics with multifaceted society-wide applications. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Using a panel data set from 2007 to 2019, we empirically evaluate the impact of carbon capture, utilization, and storage (CCUS) technology innovation on green total factor productivity (GTFP). The findings show that (1) CCUS technology innovation significantly improves GTFP. (2) CCUS technology innovation significantly contributes to GTFP by promoting industrial structure upgrading and carbon emissions efficiency. (3) Environmental regulation plays a positive moderating role in the nexus between CCUS technology innovation and GTFP. The findings of this paper provide guidance for China to achieve green energy transition and build a green energy system. [ABSTRACT FROM AUTHOR]

This paper constructs the money demand function including the variable of electronic payments while adopting the Autoregressive Distributed Lag (ARDL) bounds testing approach to investigate the relationship between electronic payments and money demand in China. The empirical results show that there is the cointegration among the variables in the constructed function with stability, and the e-payment variable is negatively correlated with the demand for money. According to the findings of this paper, in the long run, for every 1 percent increase in the e-payment variable, the demand for M1 will decrease by approximately 0.01 percent. In addition, the money demand function that contains the e-payment variable performs better than the one that does not in the forecast evaluation. [ABSTRACT FROM AUTHOR]

Passive daytime radiative cooling (PRDC) is a promising technology providing a cooling strategy that radiates heat directly into outer space without additional energy consumption, a crucial consideration in controlling construction energy consumption. However, the preparation of PRDC materials with controlled radiative properties is still challenging because the radiative interface must be maintained in a clean environment. Herein, a densely distributed porous hybrid aerogel with controlled radiative properties was fabricated using the wollastonite and cellulose as building blocks for building energy-saving applications. To do this, the cellulose pulp was obtained by using waste paper as raw material. Then, the hybrid aerogels, comprising paper cellulose and wollastonite particles, were fabricated by combining the acrylic acid polymers (PAA) bonding, freeze drying and vapor deposition modification. The radiative cooling hybrid aerogel exhibits high solar reflectivity (94.6%) and high atmospheric emissivity (95.1%), due to the laminated design of wollastonite randomly dispersed in the radiative hybrid aerogel. The excellent PRDC capability is also proven by outdoor tests where practical temperature difference is ~ 6.3 ℃ and the maximum cooling power of 147.4 Wm−2 under direct sun irradiance. Wettability test infers that the hybrid aerogel has a static water contact angle of 144.07° ± 2°, thereby indicating its hydrophobicity. In addition, based on the Energyplus simulation, the hybrid aerogel exhibits an average annual cooling energy saving of 8% in buildings across China. The excellent radiative cooling and self-cleaning properties of hybrid aerogel make it durable for long-term outdoor PRDC applications. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "Eliminating congestion in China's papermaking and paper products industry: from both the perspective of increasing and decreasing inputs" published in the Journal of Productivity Analysis. The authors acknowledge that there is overlap and duplication between their paper and a previously published paper, and they apologize for not acknowledging this in their article. The correction notice provides the correct citation for the original article and states that the authors regret the lack of transparency regarding the similarities between the two papers. [Extracted from the article]

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

Well-designed environmental regulations are a prerequisite for achieving green economic growth. However, the effectiveness of campaign-style environmental regulation—a widely used environmental management instrument in developing nations or even in some developed nations, on green economic growth remains under-researched and has not reached a consistent conclusion. This paper takes advantage of China's Central Environmental Protection Inspector policy—the strictest and largest campaign-style environmental regulation policy in China's history, as a natural experiment and uses the difference-in-differences method to explore the effect of campaign-style environmental regulation on green economic growth, and further analyze its underlying mechanisms and heterogeneity effects. The panel data covering 280 prefecture-level cities in China from 2009 to 2019 are used. Our results show that Central Environmental Protection Inspector can result in an average of 14.2% increase in green economic growth, and this effect is sustainable for a long time. Mechanism analysis shows that Central Environmental Protection Inspector boosts green economic growth mainly by promoting green innovation and optimizing industrial structure. Further heterogeneity analysis reveals that the positive effect of Central Environmental Protection Inspector on green economic growth is greater in eastern China and underdeveloped cities. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to elucidate the connection between osteoclastic forkhead transcription factor O1 (FoxO1) and periodontitis and explore the underlying mechanism by which FoxO1 knockdown regulates osteoclast formation. Materials and Methods: A conventional ligature‐induced periodontitis model was constructed to reveal the alterations in the proportion of osteoclastic FoxO1 in periodontitis via immunofluorescence staining. Additionally, RNA sequencing (RNA‐seq) was performed to explore the underlying mechanisms of FoxO1 knockdown‐mediated osteoclastogenesis, followed by western blotting, quantitative polymerase chain reaction, and enzyme‐linked immunosorbent assay. Results: FoxO1+ osteoclasts were enriched in the alveolar bone in experimental periodontitis. Moreover, FoxO1 knockdown led to impaired osteoclastogenesis with low expression of osteoclast differentiation‐related genes, accompanied by an insufficient osteoclast maturation phenotype. Mechanistically, RNA‐seq revealed that the nuclear factor kappa B (NF‐κB) and nucleotide‐binding oligomerization domain‐like receptor family pyrin domain containing 3 (NLRP3) inflammasome signaling pathways were inhibited in FoxO1‐knockdown osteoclasts. Consistent with this, MCC950, an effective inhibitor of the NLRP3 inflammasome, substantially attenuated osteoclast formation. Conclusions: FoxO1 knockdown contributed to the inhibition of osteoclastogenesis by effectively suppressing NF‐κB signaling and NLRP3 inflammasome activation. This prospective study reveals the role of FoxO1 in mediating osteoclastogenesis and provides a viable therapeutic target for periodontitis treatment. [ABSTRACT FROM AUTHOR]

Introduction: In recent years, graph neural network has been extensively applied to drug discovery research. Although researchers have made significant progress in this field, there is less research on bibliometrics. The purpose of this study is to conduct a comprehensive bibliometric analysis of graph neural network applications in drug discovery in order to identify current research hotspots and trends, as well as serve as a reference for future research. Methods: Publications from 2017 to 2023 about the application of graph neural network in drug discovery were collected from the Web of Science Core Collection. Bibliometrix, VOSviewer, and Citespace were mainly used for bibliometric studies. Results and Discussion: In this paper, a total of 652 papers from 48 countries/regions were included. Research interest in this field is continuously increasing. China and the United States have a significant advantage in terms of funding, the number of publications, and collaborations with other institutions and countries. Although some cooperation networks have been formed in this field, extensive worldwide cooperation still needs to be strengthened. The results of the keyword analysis clarified that graph neural network has primarily been applied to drugtarget interaction, drug repurposing, and drug-drug interaction, while graph convolutional neural network and its related optimization methods are currently the core algorithms in this field. Data availability and ethical supervision, balancing computing resources, and developing novel graph neural network models with better interpretability are the key technical issues currently faced. This paper analyzes the current state, hot spots, and trends of graph neural network applications in drug discovery through bibliometric approaches, as well as the current issues and challenges in this field. These findings provide researchers with valuable insights on the current status and future directions of this field. [ABSTRACT FROM AUTHOR]

The severity of plastic pollution is increasing, and delaying sustainable development is not an option. China is a large consumer of plastic, so it is essential to encourage the use of eco-friendly shopping bags there. The paper focuses on the recognition and use of eco-friendly shopping bags among young people in Guangdong Province, China, and determines what factors can lead to a rise in the use of these bags. A questionnaire was utilized to gather data from 392 young people in Guangdong Province using a quantitative research approach. According to the data from the questionnaire, they generally are supportive of eco-friendly shopping bags. Ultimately, the paper's data emphasize the positive effects of materials (paper material), function (internal compartment), and design (green label). For the purpose of advocating sustainable development, this paper provides helpful guidance for the design of eco-friendly shopping bags. [ABSTRACT FROM AUTHOR]

The article offers information on the retraction of papers from a genetics journal due to concerns about informed consent for study participants, particularly from ethnic minorities in China.

Machine learning (ML) has become increasingly popular in the prediction of debris flow occurrence, but the various ML models utilized as baseline predictors reported in previous studies are typically limited to individual case bases. A comprehensive and systematic evaluation of existing empirical evidence on the utilization of ML as baseline predictors for debris flow occurrence is lacking. To address this gap, we conducted a meta-analysis of ML-based prediction modeling of debris flow occurrence by retrieving papers that were published between 2000 and 2023 from the Scopus and Web of Science databases. The general findings were as follows: (1) A total of 84 papers, distributed across 37 different journals in this time period, reflecting an overall upward trend. (2) Debris flow disasters occur throughout the world, and a total of 13 countries carried out research on the prediction of debris flow occurrence based on ML; China made significant contributions, but more research efforts in African countries should be considered. (3) A total of 36 categories of ML models were utilized as baseline predictors for debris flow occurrence, with logistic regression (LR) and random forest (RF) emerging as the most popular choices. (4) Feature engineering and model comparison were the most commonly utilized strategies in predicting debris flow occurrence based on ML (53 and 46 papers, respectively). (5) Interpretation methods were rarely utilized in predicting debris flow occurrence based on ML, with only 16 papers reporting their utilization. (6) In the prediction of debris flow occurrence based on ML, interpretation methods were rarely utilized, searching by data materials was the most important sample data source, the topographic factors were the most commonly utilized category of candidate variables, and the area under the ROC curve (AUROC) was the most frequently reported evaluation metric. (7) LR's prediction performance for debris flow occurrence was inferior to that of RF, BPNN, and SVM; SVM was comparable to RF, and all superior to BPNN. (8) The application process for the prediction of debris flow occurrence based on ML consisted of three main steps: data preparation, model construction and evaluation, and prediction outcomes. The research gaps in predicting debris flow occurrence based on ML include utilizing new ML techniques and enhancing the interpretability of ML. Consequently, this study contributes both to academic ML research and to practical applications in the prediction of debris flow occurrence. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has emerged as an innovative technology with the potential to revolutionize various industries including libraries and information science. Academic libraries are increasingly adopting artificial intelligence (AI) to enhance services, improve efficiency, and enhance user experience. This study utilizes a bibliometric approach to comprehensively analyze current research on AI in academic libraries (AI in ALs). This study employed bibliometric indicators to identify key trends, patterns, and research gaps in the existing literature. A comprehensive dataset of 373 research papers on AI in ALs published between 2002 and 2022 was collected and analyzed using the Scopus database. Various bibliometric tools, such as Biblioshiny, VOSviewer, and BibExcel, have enhanced this analysis. The findings of this study provide important insights. By 2022, there were 64 publications, constituting 17.16% of the total corpus, accompanied by 65 citations. In contrast, 2019 witnessed only 33 publications yet accumulated a substantial number of citations, amounting to 294, representing 8.85% of the overall citations. Conference papers exhibited the highest frequency among different publication types, with 165 publications, whereas journal articles had the highest citation count, accumulating 217 citations. Geographically, China emerged as the leading contributor with 119 publications, and Wuhan University stood out as the most prominent affiliation. Notably, the "Lecture Notes in Computer Science" series emerged as the most prolific source title, publishing 15 articles, of which eight were cited. The authors Wang J., Wang C., and Wang X. from China demonstrated significant contributions, consistently publishing four papers annually from 2010 to 2022. [ABSTRACT FROM AUTHOR]

The exponential growth of China's economy, coupled with the surge in online commerce, has led to a significant expansion of the logistics industry. In 2022, China's express delivery industry generated approximately 9 million tons of waste paper and 1.8 million tons of plastic. This study analyzed the current composition and utilization of logistics waste in China, with suggestions for recycling. Logistics waste can be defined as the packaging waste generated in the logistics industry. Corrugated paper and plastic waste were chosen as the objects for utilization. Due to its high cellulose content, corrugated paper can be utilized along with other paper waste for biomass resourcing. Biodegradable plastics can also be converted into biomass resources through the action of specific microorganisms. These polymers can be enzymatically depolymerized by certain bacteria and fungi, yielding valuable organic products. In general, logistics wastes all have potential for biomass resource recovery. By adopting appropriate recovery and conversion technologies, these waste streams can be transformed into high-value bio-based products, such as biofuels, biochemicals, and biopolymers, thus contributing to the development of a circular and sustainable economy. [ABSTRACT FROM AUTHOR]

Based on the panel data of the province and municipality in 2010-2021, this paper measures the fishery eco-efficiency by using the SBM-DEA model and empirically analyses how China's marine ranch construction improves the fishery eco-efficiency by using the double-difference fixed-effect model. The results show that, firstly, China's marine ranch construction can improve the fishery eco-efficiency. Secondly, China's marine ranch construction promotes fisheries eco-efficiency by improving the input efficiency of labor, fish species, fishing vessel, fishery technology extension, aquaculture area and by reducing pollutant outputs. Thirdly, the fishery eco-efficiency of the marine ranch construction region has increased annually since 2015, and technological changes, scale efficiency changes and technical efficiency changes can all contribute to the fishery eco-efficiency improvement, and increase in order. Based on the results of the empirical analyses, this paper proposes policy recommendations to improve the fishery eco-efficiency in the conjunction with the construction of marine ranch in China. [ABSTRACT FROM AUTHOR]

Purpose: The number of universities offering Master of Translation and Interpreting (MTI) in China has increased to 316 in 15 years. This paper aims to take a closer look at the production patterns of experimental report theses in terms of total number, distribution across universities, supervision model and research content, reflects on the problems and suggests improvements, provides a reference for MTI education in China and beyond. Design/methodology/approach: This paper presents a bibliometric analysis of the published final theses of experimental reports for the MTI in China between the years 2012 and 2022, the period during which this type of thesis was produced, to identify the production patterns of these theses. Findings: The number of experimental reports published by the nine leading universities accounts for 80% of the total 296 papers. The uneven development is also reflected in the supervision model and research content. Most universities can structure the main content of theses according to the suggestions of the MTI Guidance Training Outline. However, there are still deficiencies in the areas of experimental design, experimental validity, research questions and academic standards. Originality/value: This paper reflects on the problems of MTI theses of experimental reports. Also, suggestions are made for linking top-level design and university education, for joint progress in faculty development and talent training and for integrating industrial aspects and international visions, to provide a reference for MTI education in China and beyond. [ABSTRACT FROM AUTHOR]

The recovery of the global economy in the aftermath of COVID-19 faces enormous challenges. Ensuring stable income growth of the population has become an important means for developing countries to ensure sustained economic development. Raising the overall income of the population is a public initiative that benefits all citizens; therefore, governments of developing countries should promote the implementation of relevant public policies and the provision of public goods to ensure that existing economic instruments can benefit the entire population. In this regard, public space, as a typical form of public good, may play an important role in promoting the benefits of existing economic policies for all residents. This paper examines how residents' use of public space contributes to their income growth through social capital. Hypotheses are tested based on an econometric analysis of 1565 questionnaires received from Chinese workers. The results show that residents' use of public space can indeed be an important way to increase their income, which is realized through the enhancement of social capital. The research presented in this paper provides a new influence variable of public space to improve residents' income. Further, it improves people's understanding of the three classical concepts—public space, social capital, and income—by establishing the logical connection and theoretical explanation of physical space, emotional space, and value space in human society. The conclusions of this paper highlight the important role of public space in urban and rural development planning. [ABSTRACT FROM AUTHOR]

The demographic structure is an important factor influencing the development of the services industry. As the country with the world's most serious aging problem, China's service industry structure is likely to undergo profound changes in response to the rapid demographic transition. Therefore, this paper examines the effect of population aging on the development of the service industry in the context of China's accelerating population aging. The study found that: (1) Population aging has a significant "inverted U" effect on the development of the services industry. (2) The impact of population aging on the development of the service industry has obvious regional and industry heterogeneity. The study of regional heterogeneity found that population aging in economically developed regions has a more obvious effect on the development of the service industry than in economically less developed regions. Industry heterogeneity studies found that population aging has an obvious promotional effect on the development of medical and other rigid demand industries, while the effect on other non-rigid demand industries is not significant. (3) The threshold effect test found that when the degree of population aging exceeds the threshold, the stimulating effect of population aging on the development of the services industry is no longer significant. The research in this paper provides useful insights into the likely response to changes in the industrial structure of the services industry, and offers some implications for countries with similar demographic profiles to China. [ABSTRACT FROM AUTHOR]

Introduction: Export quality improvement is a crucial path for a country or region to climb up the advanced division of labor in the global value chain. For developing countries that have long been at the lower end of the global value chain division of labor, the dominance of agricultural trade is often controlled by international retailers, leading to higher costs of agricultural trade and hindering the upgrading of the quality of agricultural exports. As a traditional agricultural exporting country, China still needs a competitive advantage despite the large scale of its agricultural exports. Currently, e-commerce can provide buyers and sellers with comprehensive transaction information and technical support, allowing them to realize rational allocation of resources and export upgrading. Therefore, studying how e-commerce can promote the quality upgrade of agricultural exports is crucial for China to build a trade power. Methods: This paper clarifies the mechanism of e-commerce's theoretical impact on the quality of agricultural exports and then empirically tests it using a high-dimensional fixed-effects model with Chinese customs data from 2000 to 2020 as a sample. Results: The results show that e-commerce significantly promotes the quality of agricultural exports in all regions of China, and this conclusion still holds after various robustness tests; the heterogeneity test shows that e-commerce fosters the quality of agricultural exports in eastern China, densely populated regions, and economically underdeveloped regions, especially in the case of heterogeneous products; the mechanism analysis confirms that e-commerce promotes the quality of agricultural exports mainly through the optimization of the agricultural industry chain and supply chain, and the enhancement of the level of servicing. Mechanism analysis confirms that e-commerce improves agricultural export quality mainly through optimizing the agricultural industry chain and supply chain, improving the level of servitization, and docking the demand information of the consumer market, etc. Expanded analysis shows that constructing cross-border e-commerce platforms also significantly improves the quality of micro enterprises' agricultural exports. This paper enriches the research on e-commerce and agricultural trade. Discussion: This paper provides an essential reference for constructing a robust agricultural trade country and developing high-quality agriculture. Despite encompassing data up to 2020, in the context of today's global economic volatility directly affecting agricultural trade, future investigations will broaden the scope to delve deeper into how e-commerce can help countries cope with global economic uncertainty. [ABSTRACT FROM AUTHOR]

Digital service trade has emerged as a pivotal engine for global economic transformation and development. However, the implementation of differentiated regulatory measures for trade in digital services among economies has led to increasingly frequent trade disputes. This paper constructs a regulatory homogeneity network for digital service trade in 60 major economies, and systematically evaluates the structural characteristics of the network and the regulatory homogeneity among economies from 2014 to 2021. Furthermore, this paper empirically examines the impact of the partnership characteristics of regulatory homogenization in the network of major economies on their exports. The analysis of the network structure shows that major economies are more inclined to optimize and simplify existing trade partnerships, and are moving towards more diversified restrictive measures in the regulatory model of digital services trade, which has led to the rise of trade protectionism. The empirical text results show that expanding and deepening the regulatory homogeneous partnership of trade in digital services promotes the export of digital services in major economies. This promotion effect is mainly achieved by reducing the cost of digital service trade and enhancing business trust. In addition, the export promotion effect of developing regulatory homogenization partnerships is better than that of increasing the openness of digital service trade, and the homogenization of policies between openness and protection is more important. This paper provides important implications for coordinating the openness and security of digital services trade: China should actively cooperate with multilateral and bilateral digital service trade partners to jointly build a homogeneous environment for regulatory regulations. In particular, it is necessary to deepen the regulatory homogeneity partnership with Asian and developing economies to expand the influence of the "China model" in the global regulation of digital services trade. [ABSTRACT FROM AUTHOR]

More attention has been paid to environmental regulation of greenhouse gas emissions in the energy industry under the transformation of industrial structure. This paper takes microdata of Chinese energy enterprises from 1998 to 2012 as a sample to build a duty-sharing model, analyzes the effect of environmental regulations on the industrial chain, and explains the "double growth" phenomenon that occurred in China, which is nothing short of miraculous in terms of the environment and economy. In the industrial chain, the environmental obligations and responsibilities will be shared between upstream and downstream enterprises due to trade linkages. This paper finds that environmental responsibilities will move forward through the industrial chain when environmental regulations are strengthened. Downstream companies will loosen "relative" control constraints, thereby expanding output but increasing demand for upstream products. Different from the existing research, we claim that, since environmental regulation has a differential effect on the industrial chain, it will promote the growth of output in the entire chain, in contrast to the theory of "cost compliance", which claims that environmental regulation will inevitably lead to the output. Based on this research, this paper puts forward some suggestions and insights on how the government implements environmental regulations. [ABSTRACT FROM AUTHOR]

Due to budget and sensor technology constraints, a single sensor cannot simultaneously provide observational images with both a high spatial and temporal resolution. To solve the above problem, the spatiotemporal fusion (STF) method was proposed and proved to be an indispensable tool for monitoring land surface dynamics. There are relatively few systematic reviews of the STF method. Bibliometrics is a valuable method for analyzing the scientific literature, but it has not yet been applied to the comprehensive analysis of the STF method. Therefore, in this paper, we use bibliometrics and scientific mapping to analyze the 2967 citation data from the Web of Science from 1991 to 2023 in a metrological manner, covering the themes of STF, data fusion, multi-temporal analysis, and spatial analysis. The results of the literature analysis reveal that the number of articles displays a slow to rapid increase during the study period, but decreases significantly in 2023. Research institutions in China (1059 papers) and the United States (432 papers) are the top two contributors in the field. The keywords "Sentinel", "deep learning" (DL), and "LSTM" (Long Short-Term Memory) appeared most frequently in the past three years. In the future, remote sensing spatiotemporal fusion research can address more of the limitations of heterogeneous landscapes and climatic conditions to improve fused images' accuracy. [ABSTRACT FROM AUTHOR]

The Strategic Consequences of Chinese Racism is a book-length academic research article commissioned by Andrew Marshal, director of the Department of Defense Office of Net Assessment (ONA). Owing to the significant policymaking power of ONA, Strategic Consequences indicates potential soft-power tactics in use by the Pentagon in countering Chinese influence in Africa. This paper examines Strategic Consequences' three key arguments. This paper examines the argument that Chinese society is more racist than U.S. society and finds this argument is likely correct. This paper examines the argument that Chinese racism is a stabilizing force for the Chinese government and finds this argument is likely correct. Finally, this paper examines the argument that U.S. anti-racist culture acts as a useful tool of soft-power influence in Africa, and finds this argument is likely incorrect. This paper concludes that ONA has accurately gauged the strategic value of Chinese racism for the Chinese government but overestimates the U.S. capacity to counter China in the field of soft power competition. [ABSTRACT FROM AUTHOR]