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Objective: To describe and record the evolution of EBM in China., Study Design and Setting: We conducted the study following the general methodology of oral history. The interviews were done at Lanzhou University, between 18 th and 22 nd April 2019 using pre-defined questions. All interviews were videorecorded. Two investigators extracted and analyzed the information from the interviews independently., Results: One international expert and ten Chinese experts participated in the interviews. After the introduction of EBM in China in the mid-1990s, more than 20 EBM centres have been established. According to the interviewees, Gordon Guyatt, David Sackett and Iain Chalmers are the international experts who played the most important role in the development of EBM in China. China has contributed to EBM on the international level by conducting systematic reviews, developing reporting checklists, and introducing the principles of EBM into Traditional Medicine. The Chinese Cochrane Centre and the EBM Centre of Lanzhou University were ranked the top two EBM Centres in China by the interviewees., Conclusion: EBM has been developing in China for nearly a quarter of a century. Many achievements have been reached, however, EBM is still facing many challenges in China, including shortages of funding support and personnel, as well as limited local high-quality evidence., Competing Interests: Competing interest The authors declare that they have no competing interests., (Copyright © 2021. Published by Elsevier Inc.)

Growing evidence has demonstrated exercise as an effective way to promote cardiovascular health and protect against cardiovascular diseases However, the underlying mechanisms of the beneficial effects of exercise have yet to be elucidated. Animal exercise studies are widely used to investigate the key mechanisms of exercise-induced cardiovascular protection. However, standardized procedures and well-established evaluation indicators for animal exercise models are needed to guide researchers in carrying out effective, high-quality animal studies using exercise to prevent and treat cardiovascular diseases. In our review, we present the commonly used animal exercise models in cardiovascular research and propose a set of standard procedures for exercise training, emphasizing the appropriate measurements and analysis in these chronic exercise models. We also provide recommendations for optimal design of animal exercise studies in cardiovascular research, including the choice of exercise models, control of exercise protocols, exercise at different stages of disease, and other considerations, such as age, sex, and genetic background. We hope that this position paper will promote basic research on exercise-induced cardiovascular protection and pave the way for successful translation of exercise studies from bench to bedside in the prevention and treatment of cardiovascular diseases., Competing Interests: Competing interests The authors declare that they have no competing interests., (Copyright © 2021. Production and hosting by Elsevier B.V.)

Objective: To share the experience of promoting GRADE in China., Study Design and Setting: We designed the study and collected data on the following three aspects of the GRADE in China: the key activities related to GRADE, the main achievements of the GRADE, and potential challenges and future opportunities., Results: Three GRADE centres have been established in China since 2011. Seventeen articles of the GRADE working group have been translated and published in Chinese, and 31 articles have been written by Chinese scientists in Chinese to introduce and interpret the GRADE approach so far. More than 50 GRADE workshops and meetings have been held by GRADE centres in China, covering two-thirds of all provinces and autonomous regions of China. The percentages of societies from the Chinese Medical Association (CMA) and the Chinese Medical Doctor Association (CMDA) that used the GRADE system to develop guidelines were 30% and 18%, respectively., Conclusion: Over the past decade, China has made progress in promoting the GRADE system and Chinese GRADE centres have made a significant contribution., (Copyright © 2021. Published by Elsevier Inc.)

Improving carbon emission efficiency is crucial for achieving carbon peak and carbon neutrality. This paper analyzes the carbon emission efficiency of Chinese cities using panel data from 275 prefecture-level cities between 2006 and 2020. The super-efficiency SBM (undesirable slacks-based measurement) model of undesired output, combined with kernel density estimation and exploratory data analysis, is employed. This study finds, firstly, from 2006 to 2020, the average efficiency of carbon emissions in Chinese cities declined from 0.53 to 0.48, indicating a downward trend. Secondly, from a temporal perspective, the level of dispersion in urban carbon emission efficiency has become increasingly distinct over time, coupled with a decrease in polarization. Thirdly, in terms of spatial analysis, urban carbon emission efficiency in China shows a positive correlation in a global context. In terms of local spatial correlation, it primarily exhibits high-high and low-low clusters, with a few instances of low–high and high-low clusters. Finally, based on the research findings, this paper proposes suggestions to improve urban carbon emission efficiency. [ABSTRACT FROM AUTHOR]

This study aims to systematically examine the developmental attributes and trends within China's forestry sector through the lens of a global value chain (GVC) framework. To this end, this research analyzes the Organization for Economic Co-operation and Development Inter-Country Input–Output (OECD-ICIO) database, using a cohesive set of GVC methods, including the forward decomposition of industry value-added, an assessment of industry upstream and downstream positions, the decomposition of export values, and analysis of trade competitiveness indicators. The trajectory of China's forestry industry hinges upon the interplay between foreign demand and domestic demand. The results reveal a transition in China's forestry sector development model from export-focused to a domestically driven approach. The proportion of value-added that is devoted to meeting domestic demands within the wood processing and papermaking industries has surged to 76% and 82%, respectively. Among the major economies, China has the highest output upstream index and input downstream index in the forestry industry, playing a vital role in propelling and pulling other industries into the global value chain system. The proportion of domestic added-value in China's forestry industry exports ranks among the top, reflecting strong self-sufficiency in export production. Although China's forestry industry possesses a high world market share, its overall international competitiveness is weak, especially with clear signs of weakening comparative advantages in the wood processing industry. [ABSTRACT FROM AUTHOR]

This paper examines the digital economy's impact on rural household consumption upgrading. Existing studies remain mainly at the level of rural consumption scale and rarely address the consumption structure. The specific impact of the development of the digital economy on rural consumption upgrading and its mechanisms of action deserves in-depth study and consideration. We analyzed the related content using the fixed-effect model, the instrumental variable method (IV), the mediation effect model, and three-year panel data from the China Family Panel Studies (CFPS). This study found that, at the scale level, the digital economy contributes to expanding rural household consumption. At the structural level, the digital economy significantly increases the share of enjoyment-oriented household consumption but has no significant effect on development-oriented consumption. Income is an important transmission mechanism for the digital economy to improve rural household consumption. Besides, the impact of the digital economy on the upgrading of rural consumption varies according to income level and age. [ABSTRACT FROM AUTHOR]

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Coronavirus disease 2019 (COVID-19) first emerged in China in November 2019. Most governments have responded to the COVID-19 pandemic by imposing a lockdown. Some evidence suggests that a period of isolation might have led to a spike in alcohol misuse, and in the case of patients with alcohol use disorder (AUD), social isolation can favour lapse and relapse. The aim of our position paper is to provide specialists in the alcohol addiction field, in psychopharmacology, gastroenterology and in internal medicine, with appropriate tools to better manage patients with AUD and COVID-19,considering some important topics: (a) the susceptibility of AUD patients to infection; (b) the pharmacological interaction between medications used to treat AUD and to treat COVID-19; (c) the reorganization of the Centre for Alcohol Addiction Treatment for the management of AUD patients in the COVID-19 era (group activities, telemedicine, outpatients treatment, alcohol-related liver disease and liver transplantation, collecting samples); (d) AUD and SARS-CoV-2 vaccination. Telemedicine/telehealth will undoubtedly be useful/practical tools even though it remains at an elementary level; the contribution of the family and of caregivers in the management of AUD patients will play a significant role; the multidisciplinary intervention involving experts in the treatment of AUD with specialists in the treatment of COVID-19 disease will need implementation. Thus, the COVID-19 pandemic is rapidly leading addiction specialists towards a new governance scenario of AUD, which necessarily needs an in-depth reconsideration, focusing attention on a safe approach in combination with the efficacy of treatment. [ABSTRACT FROM AUTHOR]

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]

Using a monthly data between 2008 and 2019, this study investigated how the development of the Internet technologies has shaped the consumer consumption pattern of different types of paper products in China during this period. In detail, this study covers four major types of paper products in the Chinese market: newsprint, printing paper, household paper, and packaging paper. The developments of Internet technologies were decomposed into two aspects: the communication technology (CT) and the software platform technology (PT). Granger causality analysis was employed to determine whether the consumption pattern of paper products was affected by the development of the Internet. Furthermore, impulse-response analyses were utilized to measure how the consumption pattern of each paper product was shaped by the development of each aspect of Internet technologies, i.e., CT or PT. The empirical results suggested that the Internet developments are causing the consumption patterns shifts of all four paper products. Specifically, the consumptions of newsprint and printing paper were driven by both CT and PT. However, the consumptions of packaging paper and household paper were driven by the PT only. Compared to the development of CT, we found that the quick evolution of PT plays a more significant role in shifting people's consumption of paper products in China. The empirical results revealed by this study could provide valuable economics and policy implications to both academia and relevant industries. • Internet development has shifted the paper products consumption pattern in China. • Development of internet boosted the demand for printing paper and household paper. • Development of internet suppressed the demand for newsprint. • The effects of internet technological development are separated into two aspects. • Emerging Internet platforms shifted the consumption of paper products efficiently. [ABSTRACT FROM AUTHOR]

The pulp and paper industry is an important industry that is closely related to national socioeconomic development. To understand the historical trends of resource consumption and environmental pollution, we conducted an economy-wide material flow analysis and quantitatively evaluated the dynamic characteristics of input-output balances, material metabolism intensity, and resource recycling rate of China's pulp and paper industry, from 2005 to 2017. The results indicate downward trends in the material inputs and outputs of China's pulp and paper industry from 2005 to 2017, with water contributing over 90% of the totals. In recent years, with the continuous optimization of the raw material structure of the paper industry, the proportion of non-wood pulping has dropped from 42% to 13% and has been replaced by mainly waste paper pulping and wood pulping. Resource consumption can still be greatly reduced. In 2017, the amount of direct material input per ton of paper and paperboard had decreased by 67% from 2005 to 26 t. The consumption of fresh water per ton of paper and paperboard dropped by approximately 69% over the study period, whereas the water recycling rate increased significantly, reaching 77% in 2017. At present, the production of paper and paperboard is increasingly dependent on the input of domestic waste paper and imported wood, the proportions of which have increased from 21% and 9% in 2005 to 60% and 31% in 2017, respectively. However, the rate of domestic waste paper recycling is relatively low, and measures such as strengthening the construction of the recycling system and educating the residents about recycling are needed to alleviate the shortage of raw materials caused by restrictions on waste paper imports.

Digital transformation and sustainability are both at the forefront of current supply chain developments. However, the specific mechanisms of how digital transformation and green supply chain development interact still need to be clarified, which can help supply chain business operators to enhance supply chain sustainability more effectively. This paper focuses on how the companies' organization structure and the socio-economic environment interact with digital technologies under the process of green supply chain development. Based on the "Technology–Organization–Environment" (TOE) framework, this paper analyze how digital transformation can drive green supply chain development. To test the TOE theoretical analysis framework, this paper calculates the digital transformation and green supply chain development index at the provincial level in China and conducts an empirical study. The main findings and implications of this paper can be summarized in the following aspects: First, according to the TOE theory, the external environment dimensions, such as the market and policy environments, affect the role of digital technology in promoting GSC development. Second, in the organizational dimensions, labor–capital relations, company size, and ownership factors can all affect the contribution of digital transformation to green supply chains. Third, there are differences in the impact of different types of digitization technologies on GSC development. [ABSTRACT FROM AUTHOR]

Paper mulberry (Broussonetia papyrifera L.) is an unconventional forage with high crude protein content and is widely used in China. In order to evaluate the pattern of fermentation quality and the aerobic stability when inoculated with lactic acid bacteria, laboratory-scale silage was prepared. The experimental groups included a control group (CK), a Lactobacillus plantarum 'LC365283' (selected from paper mulberry silage) treatment (L1), a commercial inoculant Lactobacillus plantarum treatment (GF), a commercial inoculant Lactobacillus buchneri treatment (FR), a 3% molasses treatment (MO), a 150 U/g cellulase treatment (CE), and their combinations (MO + L1, MO + GF, MO + FR, CE + L1, CE + GF, and CE + FR). The changes in bacterial community and composition of the fermentation products were evaluated after being ensiled for 30 days and unsealed for 1, 3, 5, and 7 days. Compared with the CK, MO and CE, the silages treated with L1, MO + L1, and CE + L1 showed higher lactic acid concentrations, lower pH values, and lower ammonia nitrogen concentrations (p < 0.05). During the first 3 days of aerobic exposure, the pH values and organic acid content changed slightly in all treatments. The present study suggests that addition of L1 was better than commercial inoculum, and the paper mulberry silages could be well preserved after being unsealed for 3 days. [ABSTRACT FROM AUTHOR]

In recent years, bamboo has been well exploited in the pulp and paper industry. Moso bamboo (Phyllostachys edulis (Carriere) J. Houzeau; hereafter M), originated from China with a long history of cultivation as the most abundant resource with the widest distribution area among bamboo plants in China. In this study, Moso bamboo (M) and nine bamboo varieties were selected in the bamboo germplasm resources storage bank of the Anhui Taiping Experimental Station of ICBR. The characteristics of their cell structures were compared, and the differences were analyzed from a genetic perspective. The results showed that M had the highest fiber cell length, fiber cell width, length, and parenchyma width, while GJ showed the lowest of these measurements [P. edulis 'Kikko-chiku',G.H.Lai]. The fiber wall thickness of Q [P. edulis f. obliquinoda (Z.P.Wang et N.X.Ma) Ohrnberger] was the smallest, while its fiber lumen diameter was the highest in the group. The parenchyma wall thickness and parenchyma lumen diameter of Q were the smallest in the group. The fiber cells of M and Q had better flexibility, which is conducive to improving the tensile strength, break resistance, and folding resistance of paper made from these materials. SY and GJ may be more suitable for ornamental items because of their special appearances. The purpose of this study was to explore the genetic variation patterns of various cell structure indicators among Moso bamboo and its varieties, as well as to develop a strategy of bamboo growing and lumbering based on the local conditions, providing reference data for the utilization of non-woody forest resources. [ABSTRACT FROM AUTHOR]

Paper mulberry (Broussonetia papyrifera) is widely ensiled to feed sheep in southwestern China, as unconventional woody forage. Feeding lambs with paper mulberry silage (PMS) may improve certain feeding characteristics, thereby affecting the growth performance and meat quality. The aim of this study is to investigate the effects of four diets of PMS on growth performance, rumen microbial composition, and muscle fatty acids profile in Hu lambs. The results showed that 30% and 40% PMS increased the dry matter intake and average daily gain of Hu lambs compared to the control group. PMS30 and PMS40 increased the content of C24:1, and PMS40 increased the content of C20:5n-3. The content of microbial protein (MCP) was higher in PMS40 than in others, but PMS30 and PMS40 reduced the total volatile fatty acid in rumen. PMS30 significantly increased the ratio of acetic acid to propionic acid. The abundance of ruminal Christensenellaceae_R-7_group and norank_f_Eubacterium_coprostanoligenes_group was significantly higher in PMS30 and PMS40 groups. Moreover, Christensenellaceae_R-7_group had a significant positive correlation with n3-polyunsaturated fatty acid. PMS40 might lead to a relatively high content of unsaturated fatty acids in longissimus dorsi muscle by increasing the relative abundance of Christensenellaceae_R-7_group in rumen. [ABSTRACT FROM AUTHOR]

Background: Brucellosis, as a serious zoonotic infectious disease, has been recognized as a re-emerging disease in the developing countries worldwide. In china, the incidence of brucellosis is increasing each year, seriously threatening the health of humans as well as animal populations. Despite a quite number of diagnostic methods currently being used for brucellosis, innovative technologies are still needed for its rapid and accurate diagnosis, especially in area where traditional diagnostic is unavailable., Methodology/principal Findings: In this study, a total of 22 B cell linear epitopes were predicted from five Brucella outer membrane proteins (OMPs) using an immunoinformatic approach. These epitopes were then chemically synthesized, and with the method of indirect ELISA (iELISA), each of them displayed a certain degree of capability in identifying human brucellosis positive sera. Subsequently, a fusion protein consisting of the 22 predicted epitopes was prokaryotically expressed and used as diagnostic antigen in a newly established brucellosis testing method, nano-ZnO modified paper-based ELISA (nano-p-ELISA). According to the verifying test using a collection of sera collected from brucellosis and non-brucellosis patients, the sensitivity and specificity of multiepitope based nano-p-ELISA were 92.38% and 98.35% respectively. The positive predictive value was 98.26% and the negative predictive value was 91.67%. The multiepitope based fusion protein also displayed significantly higher specificity than Brucella lipopolysaccharide (LPS) antigen., Conclusions: B cell epitopes are important candidates for serologically testing brucellosis. Multiepitope fusion protein based nano-p-ELISA displayed significantly sensitivity and specificity compared to Brucella LPS antigen. The strategy applied in this study will be helpful to develop rapid and accurate diagnostic method for brucellosis in human as well as animal populations., Competing Interests: The authors have declared that no competing interests exist.

The digital finance generated by technology empowerment profoundly affects the innovative behavior of micro-enterprises. To estimate how digital finance influences the quantity and quality of green technological innovation, this paper introduces digital finance into endogenous economic growth model and further conducts correlation analysis with the combination of fixed effects model (FE) and panel threshold model (PTM). Moreover, this paper investigates the action mechanism from the perspective of financial constraint and financial cost. The empirical results indicate that digital finance improves the quantity and quality of green technological innovation significantly. Compared with the coverage of digital finance and digital services, the impact of usage depth on green innovation accumulates dynamically superimposed in the long term. The digital finance contributes to correct the mismatch of financial resources and further induces inclusive green innovation in the dimension of ownership, growth cycle, and enterprise scale. Mechanism analysis shows that the relief of financial constraint, environmental information disclosure, and increase of R&D investment are the main paths for digital finance to drive green innovation. With the different thresholds, the dynamic evolution process of green innovation driven by digital finance is characterized by "first quantitative change and then qualitative change." This paper suggests that the integration of technological innovation and digital financial services needs to build an inclusive digital financial service system, cultivate diversified financial formats, and improve the market environment of digital financial services. [ABSTRACT FROM AUTHOR]

It is essential to establish a multi-dimensional postgraduate quality evaluation system for student assessment and training. This study aimed to explore the construction of the multiindex and hierarchical comprehensive evaluation system for postgraduate training in science and engineering based on the Context, Input, Process, Product (CIPP) model using Analytic Hierarchy Process. It involved 756 postgraduates in physics and engineering who were randomly selected via the Internet. Data were collected from the questionnaire about postgraduates' basic information. After collection, Factor Analysis was used to verify the rationality of the design of second-level and third-level indicators, and adjust the corresponding weights. On this basis, Cluster Analysis was used to classify the training quality of the postgraduates based on their scores on academic ability, basic quality, and social ability indicators. The results revealed that the index system includes 4 first-level indicators,12 second-level indicators and 36 third-level indicators, and different weights being assigned to the indicators according to their influence on the training quality of postgraduates in science and engineering. This study also provides some reference for the quality of science and engineering postgraduate training in Chinese universities by proposing relevant measures, which could be interesting also for international audience.

Rhodium as a national strategic reserve metal, has the irreplaceable role of other metals, but its resources are mainly concentrated in some countries in South Africa, and rhodium resources are very scarce in our country. In the process of industrialization in China, a large number of rhodium-containing homogeneous spent rhodium catalysts are produced, of which rhodium content is much higher than that of ores, so it is particularly important to recover rhodium from rhodium-containing homogeneous spent catalysts. By referring to the relevant literature, this paper summarized the recycling methods and prospected its prospects. [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]

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]

This paper tries to explain the economic significance of “pursuing green development and promoting harmony between humanity and nature” in the Report to the 20th National Congress of the Communist Party of China (CPC) from the following eight aspects. First, it explains how to respect, adapt to, and protect nature through the confirmation of ownership, valuation classification and incentive. Second, it analyzes why China should work actively toward the goals of peaking carbon emissions and achieving carbon neutrality from the new security concept, new challenges, new situations, and new tasks brought by the urgency and severity of climate change risks. Third, it expounds on the difficulty and complexity of addressing climate change from multiple aspects, such as the ratchet effect, Giddens’s paradox, prisoner’s dilemma, lock-in effect, asset stranding, intergenerational equity, and the Wandering Earth scenario. Fourth, it recognizes the importance of stability, overall planning, and coordination based on the overall planned and coordinated triangle of high-quality development, carbon neutrality, and energy security. Fifth, it emphasizes the importance of green and low-carbon technological innovation by means of the IPAS equation. Sixth, it explains the essence of carbon neutrality as the industrial transition based on the energy transition, which is an economic logic. Seventh, taking the carbon market as an example, it explains the economic principle that the market mechanism plays an important role. Eighth, it explains how finance empowers the goals of peaking carbon emissions and achieving carbon neutrality as well as high-quality development. Finally, this paper is of guiding significance for economics, finance, international trade, and policy research, and in the meantime, provides new research tasks. [ABSTRACT FROM AUTHOR]

The maritime sector plays a key role in transportation in the world, and over 90% of world trade is carried by ocean shipping. However, ships are large contributors to global emissions. Hence, a vast majority of research publications have focused on different emission monitoring techniques, which are essential to establishing required policies and regulations that reduce maritime transport emissions. Various documents have been published on monitoring maritime transport emissions affecting air quality since 1977. This paper presents a bibliometric analysis to explore evolution trends, gaps, challenges, and productive countries, as well as the most cited publications with high scholarly impacts. The annual growth of 9.64% in publications demonstrates an increasing interest in reducing maritime vessel emissions. Journal articles constitute 69% of publications, followed by conference papers (25%). China and the USA play a leading role in this field of research. Regarding active resources, the "Atmospheric Environment" journal accounts for the highest relevant publications, H-index, and total citations. Eventually, the temporal evolution of keywords shows the increasing trend towards sustainable maritime transport. [ABSTRACT FROM AUTHOR]

With the implementation of deep-market-oriented reforms in China, an accurate interpretation of the effect and transmission mechanism of the marketization of industrial land transfer on carbon emission reduction can provide references for further elevating the role of land policy in China's low-carbon economic transition. Based on the balanced panel data of China's provincial level from 2009 to 2020, this paper uses carbon emission intensity to quantify emission reduction targets, and studies the effects of the marketization of industrial land transfer on regional carbon emission intensity, as well as its internal mechanism, by describing the typical characteristics. Moreover, this paper analyzes the moderating role of environmental governance and conducts area heterogeneity analysis. The main results show that (1) the marketization of industrial land transfer can significantly reduce regional carbon emission intensity, and the negative effect is stronger in the mid-west compared with the effect in the east. (2) Environmental governance can play a positive moderating role in the relationship between the marketization of industrial land transfer and the carbon emission intensity. (3) Industry selection is the internal mechanism by which the effect of the marketization of industrial land transfer on regional carbon emission intensity operates, and the mechanism is represented more prominently in the mid-west. The main conclusions provide inspiration for land policy regulation in relation to carbon emission reduction. China's local governments should implement specific strategies to improve the market-based operation mechanism of land, attracting industries with high energy efficiency and low carbon emissions, and strengthening the intensity of environmental governance. [ABSTRACT FROM AUTHOR]

Technological advances in tea production are critical to meet global demands for tea consumption. To illuminate differences in the scientific and commercial relevance of research programs between major tea-related research organizations around the world, we conducted a bibliometric analysis comparing the scientific outputs, including peer-reviewed publications and patents, of six major research organizations published between January 01, 2008 and July 11, 2020. For this competitive ranking analysis, we examined a number of papers, research topics, academic influence, capacity for development, capacity for collaboration, and capacity for technological innovation. Among the six research organizations, Anhui Agricultural University (in China) had the most publications, while the Chinese Academy of Agricultural Sciences, Tea Research Institute showed a higher capacity for development. The Council for Scientific and Industrial Research (in India) and the University of Shizuoka (Japan) both showed high academic influence, while the University of Shizuoka, Tea Research Association Tocklai and National Agriculture and Food Research Organization (Japan) showed a high capacity for collaboration. The Chinese Academy of Agricultural Sciences, Tea Research Institute applied for the most patents, while the Council for Scientific and Industrial Research applied for the most international patents. [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.

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]

The existence of structural change features can lead to the failure of traditional econometric methods. This research uses the Bai-Perron test to diagnose the structural change point of the price series in China's pilot carbon market. It uses an impulse response function to analyze the interaction between carbon prices and energy prices, stock price indices, power industry index, and similar asset prices. The results show structural change points in all five carbon markets during the operation period, and the timing of these structural change points relates to an economic situation and compliance period. In addition, the impact mechanisms of the stock price index, similar asset price, and power industry index on the price of China's pilot carbon market change significantly before and after the structural change points, but the impact of energy price does not change except for the Hubei carbon market. [ABSTRACT FROM AUTHOR]

As the main demand side of rural financial services, farmers' cooperatives are an important part of China's rural finance. However, due to the lack of effective collateral, farmers' cooperatives have problems such as difficulty in obtaining loans or expensive loans, which not only hinder the high-quality development of farmers' cooperatives, but also limit the development of regional rural finance. Digital credit as a new financing model can effectively alleviate the problems of difficult and expensive loans and has received wide attention from the government and academia. Based on this, this paper analyzes the digital credit behavior of farmers' cooperatives in detail by applying the "6C" family model to the grounded theory, and constructs a theoretical analysis model of farmers' cooperatives' digital credit behavior. The findings are as follows: The motivation for the digital credit of farmers' cooperatives is that the credit procedures are simple, the loan period is short, and the loan interest rate is low; the condition is the farmers' cooperative reputation advantage and government policy support,; the main form is the participation of cooperatives in short- and long-cycle digital credit; and the consequence is reflected in increasing the income of cooperative members, improving the availability of cooperative loans, promoting cooperative credit building, and achieving sustainable agricultural development. Different participation motivations have different effects on the form of credit. When motivated by simple credit procedures and short loan periods, farmers' cooperatives choose "Huinong e-loan"; when motivated by simple procedures and low loan interest rates, farmers' cooperatives choose "Funong Loan". Different forms of credit will produce different performances. Farmers' cooperatives choosing "Huinong e-loan" will produce economic performance; farmers' cooperatives choosing "Funong Loan" will produce economic performance and social performance. In order to deal with the problem of digital credit of farmers' cooperatives, the government needs to improve the relevant policies and regulations, reduce credit risks, and establish a sound credit system to provide credit guarantees for cooperatives and farmers. Financial institutions need to improve their financial services and innovate financial products and services to meet the multi-level credit needs of cooperatives. [ABSTRACT FROM AUTHOR]

This study investigates an environment-centered, state-driven corrosion prognosis framework to predict the long-term atmospheric corrosion loss of metal materials, and this paper takes carbon steel as an example to show the establishment process of the framework. Unlike traditional power-linear prediction models that seldomly consider environmental impacts, the proposed model quantitatively establishes the correlations between corrosion loss and dynamic atmospheric environmental factors. A comprehensive power-linear function model integrating multiple atmospheric environmental factors is constructed, following the corrosion kinetics robustness. Under the proposed framework, the steady-state start time is evaluated, followed by the long-term corrosion loss prediction under different corrosivity categories and test sites. The applicability is justified via a case study of long-term field exposure tests of metal materials in China, as well as the experimental results of the ISO CORRAG program. By comparing with the traditional power model and ISO model, the experimental results demonstrate the capability and effectiveness of the proposed prognosis methodology in acquiring accurate corrosion state information and corrosion loss prediction results with less input corrosion information. [ABSTRACT FROM AUTHOR]

Carbon abatement efforts in China are penetrating to sub-national level. Zhejiang province, as the 4th wealthy region in China and important player in global market (e.g., textiles, cloth, petroleum, and chemical products), lacks in-depth study of its climate change mitigation efforts, especially after China's accession to the WTO in 2001. This paper analyzed carbon emissions and intensity in Zhejiang province using most comprehensive and time-series dataset available to date since 2002. Its carbon emissions were growing at a declining speed, and carbon intensity was almost halved. The leading emitters largely agglomerate around Hangzhou Bay, close to Zhoushan Port and Shanghai Port. The growth in absolute emissions primarily arose from higher investment (323.1 Mt) and exports (280.6 Mt), while the slower growth was mainly due to efficiency improvements (− 245.7 Mt) stemming from energy and carbon abatement policies and inflows of emission-intensive products from the rest of China. Similarly, declined carbon intensity was mainly attributed to efficiency improvement. Major contributors were sector S13-Non-metallic minerals, S12-Chemicals, S26-Transport, storage and post, S07-Textiles, and S10-Paper. Economic restructuring played different roles on emissions and intensity during various development stages. Policy implications of the findings are discussed for future developments. [ABSTRACT FROM AUTHOR]

Ink element is one of the unique cultural symbols in China, which has profound cultural heritage and spiritual connotation. Animation is a form of art design, and it is a good way to convey and express information in an intuitive artistic image. The use of ink and wash elements for animation design has important value and significance in the start of Chinese culture. It can develop animation design, innovate animation creation forms, and can highlight Chinese style. In this article, we have studied the creation process, creation format, and creation method of using angular digital technology to make ink VR design. It combines art and technology and combines practical experience with wireless sensors. Based on HTML5 interactive technology, we have studied its advantages more deeply, better introduced the theme of ink element animation, solved the problem of realizing ink effect in 3D virtual environment, and better introduced ink animation in virtual reality environment. During the production process, students will learn how to simulate digital objects, render ink and wash effects, build a virtual environment in the later stage, and explore the knowledge, operation, and meaning of ink and wash elements and the animation design process. This paper studies the wireless sensor and HTML5 interactive technology and applies it to the design of ink and wash animation VR, aiming to promote its vigorous development and application. [ABSTRACT FROM AUTHOR]

Mountain areas provide essential resources for a significant proportion of the Earth's population. This study presents the development of mountain research between 1900 and 2019 based on peer-reviewed articles in English listed in Web of ScienceTM (WOS). We analyzed the number of publications over time, journals and scientific categories, frequent topics, and geographical distributions based on 40 mountain ranges and authors' countries as well as institutional contributions. From 1900–2019, 195k ±10% mountain research papers were published; over 50% from 2010–2019. While papers were published in more than 1000 different journals, indicating a wide range of disciplines engaged in mountain research, 94% of the papers were assigned to "Science & Technology", only <5% to "Social Sciences" and "Arts & Humanities". The most papers were written by researchers in the USA, followed by China. The number of papers per area or capita showed high variability across the investigated mountain ranges. Thus, geographically and disciplinarily more balanced research activities and better accessibility of knowledge about mountain regions are recommended. [ABSTRACT FROM AUTHOR]

Folk art is a "living fossil" of hisory, whose existence and evolution reflect the way people live and think. It is a one-of-a-kind way of communicating the process of human development to the rest of the world. However, as China's economic development and cultural globalization accelerate, many folk arts are being severely harmed and lost. The emergence of virtual reality technology, which benefits from the advantages of virtual reality technology, has greatly strengthened the utilization and protection of folk art resources in recent years, with the rapid development of Internet technology. Virtual reality technology is a human-computer interaction experience technology that uses complex calculations to provide corresponding operational feedback to the senses of touch, hearing, vision, and balance. It is more reasonable and perfect to reconstruct and integrate the resource content and realize the digital utilization of folk art resources in this paper, which is based on the ALS collaborative filtering algorithm. This paper will make some necessary improvements to the original algorithm, which has met the requirements of virtual reality technology, through the comparison of algorithms. Finally, experiments show that the proposed algorithm's accuracy is 85 percent higher than the original algorithms, and the data retrieval processing interval is more reasonable. [ABSTRACT FROM AUTHOR]

This article focuses on the results of published research into China's urban planning history since 2011. A total of 1,057 articles were selected, including 198 theses, 465 journal papers, and 394 conference papers. It provides quantitative statistics and analysis of the literature, using CiteSpace to conduct a bibliometric analysis of the data. Based on quantitative analysis and supported by the literature, this paper qualitatively concludes and summarizes the research hotspots and evolution of Chinese urban planning history from five dimensions: planning practice, system construction, thought and theory, figures, and discipline. The achievements delve into the exploration of motivations and mechanisms, planning ideology, methodology, practice subjects, and preparation process based on a staged review of the historical process of practice and a summary of its characteristics, which shows a process from partial to holistic and fragmented to systematic in general terms, contributing to the formation of a complete planning history research system. A comprehensive analysis of quantitative statistics, knowledge mapping of literature, and important research content reveals the characteristics of research into the history of Chinese urban planning over the past decade. [ABSTRACT FROM AUTHOR]

This paper reviews the literature on the Belt and Road Initiative (BRI), which has the factors that directly influence the transport and logistics. The relevant literature has been collected systematically since the BRI was initiated in 2013. We adopt a content analysis methodology involving a four-step process. It can be found that firstly, more and more papers on the BRI have been published these years and the influence of BRI on transport and logistics can be summarized into three main perspectives, namely, the changes of the politics & policy, the changes of the environmental dimensions, the direct influence on transport and logistics; secondly, the topics and adopted methodology have been summarized, and it can be found that the percentage papers using quantitative analysis increases over the years; thirdly, percentage of papers with optimistic attitude on the BRI has been increasing since 2013 and compared with authors with affiliations in China, authors with non-Chinese affiliations are more likely to show pessimistic attitudes; fourthly, the research gaps have been summarized, which illustrates future research direction or topics and can promote the studies on transport and logistics considering the influence of the BRI and provides theoretical basis for BRI's development. [ABSTRACT FROM AUTHOR]

Scholars have turned their attention to the ecological protection and high-quality development of China's Yellow River Basin in recent years. The basin is a major agricultural production area in China, hence investigating agricultural carbon emission reduction strategies in the basin is crucial. The research object in this article is the agricultural departments of China's nine provinces in the Yellow River Basin from 2005 to 2018. Agricultural carbon emissions are measured using agricultural land usage, rice planting, crop planting, straw burning, and livestock breeding as agricultural carbon sources. In addition, the GTWR model is used to examine the spatiotemporal aspects of the impact of five factors on agricultural carbon emissions in this paper. The findings reveal that the five factors have varying degrees and directions of influence. [ABSTRACT FROM AUTHOR]