On the Accessibility of Financial Services and Income Inequality: An International Perspective

Income inequality has long been an important issue in development economics. Ap-plying international data from 119 countries between 2004 and 2018, this study discusses the relationship between the accessibility of financial services and income inequality. Using the den-sity of the bank branch network to represent the accessibility of financial services, we discover that income inequality is negatively related to the accessibility of financial services, especially in less developed countries and regions. In this nexus, the poverty ratio serves as an intermediary variable. The significance of the nexus is weaker in countries where fintech is more popularized, indicating the substitution effect between fintech and traditional banking services. Nevertheless, the substitution effect is limited, and bank branches will keep playing an important role in deliv-ering financial services. For countries with inadequate banking services, bank branches should be increased to encourage residents to participate in the financial system, while it is no longer necessary to add a large number of branches in countries where fintech has been popularized. Faced with the trend of financial digitalization and the economic shock caused by the COVID-19 pandemic, banks should launch more online services and increase intelligent machines in the branches. By doing so, financial services are more resilient to social changes, so as to alleviate the inequality of income distribution in the long term.

Federated Learning for Medical Imaging Segmentation via Dynamic Aggregation on Non-IID Data Silos

A large number of mobile devices, smart wearable devices, and medical and health sensors continue to generate massive amounts of data, making edge devices' data explode and making it possible to implement data-driven artificial intelligence. However, the "data silos” and other issues still exist and need to be solved. Fortunately, federated learning (FL) can deal with "data silos” in the medical field, facilitating collaborative learning across multiple institutions without sharing local data and avoiding user concerns about data privacy. However, it encounters two main challenges in the medical field. One is statistical heterogeneity, also known as non-IID (non-independent and identically distributed) data, i.e., data being non-IID between clients, which leads to model drift. The second is limited labeling because labels are hard to obtain due to the high cost and expertise requirement. Most existing federated learning algorithms only allow for supervised training settings. In this work, we proposed a novel federated learning framework, MixFedGAN, to tackle the above issues in federated networks with dynamic aggregation and knowledge distillation. A dynamic aggregation scheme was designed to reduce the impact of current low-performing clients and improve stability. Knowledge distillation was introduced into the local generator model with a new distillation regularization loss function to prevent essential parameters of the global generator model from significantly changing. In addition, we considered two scenarios under this framework: complete annotated data and limited labeled data. An experimental analysis on four heterogeneous COVID-19 infection segmentation datasets and three heterogeneous prostate MRI segmentation datasets verified the effectiveness of the proposed federated learning method. © 2023 by the authors.

Research on the time-varying effects among green finance markets in China: A fresh evidence from multi-frequency scale perspective

Green finance is an essential instrument for achieving sustainable development. Objectively addressing correlations among different green finance markets is conducive to the risk management of investors and regulators. This paper presents evidence on the time-varying correlation effects and causality among the green bond market, green stock market, carbon market, and clean energy market in China at multi-frequency scales by combining the methods of Ensemble Empirical Mode Decomposition Method (EEMD), Dynamic Conditional Correlation (DCC) GARCH model, Time-Varying Parameter Vector Autoregression with Stochastic Volatility Model (TVP-VAR-SV), and Time-varying Causality Test. In general, the significant negative time-varying correlations among most green finance markets indicate a prominent benefit of risk hedging and portfolio diversification among green financial assets. In specific, for different time points and lag periods, the green finance market shock has obvious time-varying, positive and negative alternating effects in the short-term scales, while its time delay and persistence are more pronounced in the medium-term and long-term scales. Interestingly, a positive event shock will generate positive connectivity among most green finance markets, whereas a negative event including the China/U.S. trade friction and the COVID-19 pandemic may exacerbate the reverse linkage among green finance markets. Furthermore, the unidirectional causality of "green bond market - carbon market - green stock and clean energy markets” was established during 2018–2019. © 2023

Changes of atmospheric metal(loid) deposition from 2017 to 2021 at Mount Emei under China's air pollution control strategy

Acid deposition and particulate matter (PM) pollution have declined considerably in China. Although metal(loid) and acid deposition and PM have many common sources, the changes of metal(loid) deposition in China in the recent decade have not been well explored by using long-term monitoring. Therefore, we analyzed the dry and wet deposition of eleven metal(loid)s (including Al, As, Ba, Cd, Cu, Cr, Fe, Mn, Pb, Sr, and Zn) from 2017 to 2021 at Mount Emei, which is adjacent to the most economic-developed region in western China (Sichuan Basin (SCB)). Anthropogenic emissions contributed to over 80% of the annual wet deposition fluxes of metal(loid)s and acids (SO4 2-, NO3 -, and NH4 +) at Mount Emei, and the major source regions were the SCB, the Yunnan-Guizhou Plateau, and Gansu Province. Metal(loid) and acid deposition had similar seasonal variations with higher wet deposition fluxes in summer but higher wet deposition concentrations and dry fluxes in winter. The seasonal variations were partially associated with higher precipitation but lower pH in summer (968 mm and 5.52, respectively) than in winter (47 mm and 4.73, respectively). From 2017 to 2021, metal(loid) deposition did not decline as substantially as acid deposition (5.6%-30.4%). Both the annual total deposition fluxes and concentrations of Cr, Cu, Sr, Ba, and Pb were even higher in 2020-2021 than in 2017-2018. The inter-annual and seasonal changes implied the responses of metal(loid) deposition to anthropogenic emission changes were buffered (e.g., transformation, dilution, and degradation) by precipitation rates, acidity, natural emissions, and chemical reactions in the atmosphere, among others.Copyright © 2023 Elsevier Ltd

The growth, adventitious bud formation, bioactive flavonoid production, antioxidant response, and cryptochrome-mediated light signal transduction in Isatis tinctoria L. hairy root cultures exposed to LED lights

The root of Isatis tinctoria L. is highly appreciated as a Traditional Chinese herbal medicine for the prevention and adjuvant treatment of respiratory diseases caused by coronaviruses viruses such as SARS and COVID-19. I. tinctoria hairy root cultures (ITHRCs) provide a better alternative to field cultivation for the production of antiviral flavonoids. For the first time, ITHRCs were exposed to different colors of LED lights i.e., red, green, blue, red/green/blue (1/1/1, RGB), and white, in an attempt to promote the root growth and enhance the production of bioactive flavonoids. Results revealed that the biomass productivity (7.15 ± 0.63 g/L) in ITHRCs with an initial inoculum size of 0.2% cultured for 50 days under blue light increased by 1.86-fold relative to that under dark (control), and yields of rutin (320.49 ± 27.56 μg/g DW), quercetin (388.75 ± 9.17 μg/g DW), kaempferol (787.90 ± 83.43 μg/g DW), and isorhamnetin (269.11 ± 20.08 μg/g DW) increased by 4.15-fold, 9.31-fold, 9.09-fold, and 2.88-fold as compared with control, respectively. Interestingly, the emergence of adventitious buds was noticed in ITHRCs under all light treatments. Additionally, the enhanced densities of chloroplasts and root hairs were found in blue-light grown ITHRCs as against control, which might account for the elevated biomass productivity. Moreover, blue light induced oxidative stress in ITHRCs in terms of the overproduction of oxidation products and the enhancement of antioxidant enzyme activity. Furthermore, blue light significantly activated photoreceptor (CRY1) and key regulator of light signaling (HY5), thus leading to the up-regulated expression of MYB4 and structural genes (such as CHS and FLS) responsible for flavonoid biosynthesis. And, the transcriptional activation of CUC1 was likely related to the formation of adventitious buds in ITHRCs. Overall, the simple supplementation of blue LED light makes ITHRCs more attractive as plant factories for obtaining higher productivity of biomass and medicinally important flavonoids. © 2023 Elsevier B.V.

Multiple paths towards Eco islands and blue development: Conference report

Seas and islands cannot be separated when it comes to sustainable development. For island countries (regions), the sustainable use of marine resources is an obvious choice and a top priority. Despite the fact that many people are still affected by COVID-19, increasing attention is being given to developing island resilience as a means to adapt to many challenges, including climate change. The core concerns of island development are therefore balancing the needs of ecological protection and the sustainable use of natural resources. The Island Research Center of the Ministry of Natural Resources of China etc. organized the 2022 International Island Forum on November 10, 2022 with the theme, ‘Eco Islands, Blue Development.' A hybrid conference was held to bring together representatives of government agencies, academic institutions, and experts from many countries around the world to discuss the key issues of sustainable island development. © 2023

COVID-19 and neurodegenerative diseases.

OBJECTIVE: The pandemic of Coronavirus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues, and SARS-CoV-2 variants continue to emerge. In addition to typical fever and respiratory symptoms, many patients with COVID-19 experience a variety of neurological complications. In this review, we analyzed and reviewed the current status and possible mechanisms between COVID-19 and several typical neurodegenerative diseases, particularly Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis, hoping to propose the potential direction of further research and concern. MATERIALS AND METHODS: Electronic literature search of the databases (Medline/PubMed, Web of Science, and Google Scholar). The keywords used were COVID-19, SARS-CoV-2, neurodegenerative disease, Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. The retrieved relevant articles were reviewed and critically analyzed. RESULTS: SARS-CoV-2 is a highly neuroinvasive neurotropic virus that invades cells through angiotensin-converting enzyme 2 (ACE2) receptor-driven pathway. SARS-CoV-2 neuroinvasion, neuroinflammation, and blood-brain barrier (BBB) dysfunction may contribute to the pathogenesis of neurodegenerative diseases. CONCLUSIONS: Some patients with neurodegenerative diseases have already shown more susceptibility to SARS-CoV-2 infection and significantly higher mortality due to the elderly population with underlying diseases. Moreover, SARS-CoV-2 could cause damage to the central nervous system (CNS) that may substantially increase the incidence of neurodegenerative diseases and accelerate the progression of them.

Airline brand image, passenger perceived value and loyalty towards full-service and low-cost carriers

Purpose: This study aims to examine the mediating and moderating processes that link airline brand image to passenger loyalty through perceived value. Design/methodology/approach: The research participants were Taiwanese passengers with experience travelling abroad by air. Structural equation modelling and multigroup analysis were used to investigate the effect of airline brand image and perceived value on the loyalty of passengers using full-service and low-cost carriers. Findings: For both airline types, airline brand image had a significant and positive effect on passenger perceived value. Perceived value had a significant and positive effect on passenger loyalty, perceived value was a crucial mediator and airline type was not a key moderator in the model. Originality/value: In this study, focusing on the perspective of Taiwanese passengers, a conceptual model of the factors that lead to passenger loyalty, with a focus on brand image, was developed. This paper contributes to the literature and application field by examining the mediating effect of perceived value and the moderating role of airline type in the aviation industry;on the basis of the results, potential recovery strategies for airlines in the post-COVID-19 era are provided. © 2023, Emerald Publishing Limited.

Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic

Information asymmetry in different service products is lacking research. Tourism e-commerce as a dynamic financial market driven by advanced information technology deepens the concern for asymmetry brought to hotel consumers. COVID-19 provides a natural intervention on market asymmetry in the hotel price information, which effects are worth evaluating. This study therefore evaluates the degree of information asymmetry in terms of the lodging price of international tourist hotels (ITHs). Through applying the concept of stochastic frontier approach (SFA), this study estimates the degree of information asymmetry and the inefficiencies. The estimation results indicate that the hotel location, traveler type, operation type may cause different information asymmetry. By comparing with the asymmetry before the pandemic, it is found that the asymmetry in lodging price information decreased since the outbreak of the COVID-19 pandemic. Among the six regions studied, the mean range of information equity degree increased from the original 0.634-0.832 to 0.7633-0.866. It indicates that the outbreak of COVID-19 changed the structure of the consumer groups in hotel operations and then affect the hotelier's pricing strategy. © 2022

An Online Multiobject Tracking Network for Autonomous Driving in Areas Facing Epidemic

Multi-object tracking is of great importance in autonomous driving. However, with the outbreak of COVID-19, multi-object tracking faces new challenges in areas gripped by epidemics because of complex motion blur, frequent occlusions, and appearance deformations. To reliably improve object trajectory association in epidemic-plagued areas, we propose a temporal-spatial aggregation embedding network (TSAEN) for multi-object tracking. Our embedding network contains a temporal-aware correlation module (TACM) and spatial-aggregate embedding module (SAEM) that can fully obtain and aggregate appearance clues related to moving objects in previous frames. The TACM learns the temporal homogeneity features of the current and previous frames to perceive features with correlated appearance cues. Then, the SAEM adjusts the spatial deformation for each perceived temporal homogeneity feature and aggregates them for re-ID embedding learning. The experimental results demonstrate that our proposed method is able to achieve excellent overall performance. IEEE

Risk Factors and Countermeasures of Occupational Exposure of Medical Personnel under COVID-19 Epidemi

The COVID-19 is a severe respiratory pathogen infection, showing a distinct “hospital cluster” transmission characteristics. This paper illustrated the concept of occupational exposure and COVID-19. Combined with the actual situation of COVID-19, the infection status of medical personnel in this outbreak was analyzed from three aspects: The transmission risk and infection rate of medical personnel, the clinical characteristics and the undiscovered super-spreader. Through the analysis of the present situation, this paper summarized the possible occupational exposure risk factors of medical personnel in COVID-19 from five aspects: Biological occupational risk factors, chemical occupational risk factors, physical occupational risk factors, violence factors and psychological factors. From isolating the source of infection and cutting off the transmission route, the “safety supervisor” mechanism is established to avoid the risks of biological, chemical and physical occupational exposure, from providing professional psychological counseling for medical personnel to reduce their psychological stress, and from improving the relevant legal level to reduce the risk of medical personnel’s violent occupational exposure. © 2022, Editorial department of Chinese Medical Ethics. All rights reserved.

The Sustainable Island Tourism Evaluation Model Using the FDM-DEMATEL-ANP Method

The purpose of this study is first to propose a comprehensive evaluation model for sustainable island tourism, and then to provide guidelines and suggestions for the development thereof. Based on the advantages of using fuzzy set theory, this study’s method included the fuzzy Delphi method (FDM), the decision-making trial and evaluation laboratory (DEMATEL), the analytic network process (ANP), and FDM-DEMATEL-ANP (FDANP). From the literature review results and experts’ surveys, the dimensions of the evaluation criteria for sustainable island tourism are governance, economy and finance, socio-culture, and the environment. Compared with other studies, its major contributions and differences are the governance and finance dimensions, and the evaluation criteria for the marine industry, marine cultures, and marine environments. The findings show that the relative importance of the dimensions from high to low are economy and finance, governance, the environment, and socio-culture. The top five key criteria begin with having an of-ficial administration organization, having a tourism industry, and revenue uncertainties based on public health events. These, along with policies and regulations, and local food and drink, are thought to provide the necessary conditions for sustainable island tourism. The implications for theory and practice and future research directions are discussed. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

[Progress in research of economic evaluation of non-pharmaceutical interventions for COVID-19 prevention and control].

Objective: To understand the research progresses of economic evaluation of non-pharmaceutical interventions (NPIs) both at home and abroad, and provide reference for economic evaluation of NPIs using real-world data in China. Methods: The literature retrieval was conducted by searching Chinese and English databases to indude papers about economic evaluation of NPIs and integrated NPIs published from January, 2020 to December, 2021, and the results were analyzed comprehensively. Results: A total of 30 Chinese and English literatures about economic evaluation of NPIs for COVID-19 prevention and control were included; including 7 papers about nucleic acid and testing and screening, 6 papers about individual prevention and protection measures, 12 papers about integrated implementation of individual prevention and protection, social distancing, nucleic acid or antigen testing, community screening and symptom screening, as well as close contact tracing and isolation/quarantine, and 5 papers about contain strategies, such as lockdown. This study found that personal protection, social distancing, and testing-tracing-isolation measures were cost-effective; however, different combinations of NPIs might lead to different results. Moreover, the cost of lockdown was high, which might cause huge economic burden. Conclusions: Most NPIs are cost-effective except lockdown, while the cost-effectiveness of the integrations of NPIs at different levels and in different scenarios needs to be further evaluated. It is necessary to carry out economic evaluation of integrated NPIs and the combination of NPIs with other interventions, such as vaccination and medication, based on real-world settings in China.

Social Exposure and Burnout During the Pandemic: An Investigation on Three Different Positions of Frontline Metro Staffs

Besides being a threat to public physical health, COVID-19 may also bring harm to peoples’ mental health as well. This preliminary study aimed to explore how different levels of social exposure might result in different mental health outcomes (e.g., burnout) on frontline metro staff, who guarantee the efficiency and safety of urban transportation. Three positions of frontline metro staff with different levels of social exposure, namely station attendants, train drivers, and maintenance workers. Two waves of cross-sectional studies were conducted at two time points, one was shortly after the lockdown in 2020, the other was 5 months later in July 2020. Results showed that there is no significant difference between stress levels after the lockdown. However, a significant difference was observed in the burnout levels after several months of operation. Staff with more contact with passengers (i.e., station attendants) reported the highest level of burnout. Staff with less contact with passengers (i.e., maintenance workers) reported the lowest level of burnout. A possible explanation of such phenomenon was that higher social exposure during the pandemic may cause more anxiety and fear to be infected as well as more emotional labor to deal with people wearing masks. We also discussed possible methods to improve the well-being of metro staff. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

[Progress in research of economic evaluation of COVID-19 vaccination strategies].

Objective: To understand the research progresses of economic evaluation of COVID-19 vaccination strategies both at home and abroad, and provide reference for the economic evaluation of COVID-19 vaccination strategies using real word data in China. Methods: Literature retrieval was conducted for related papers published from January, 2020 to December, 2021 in Chinese and English databases, including the economic evaluation of COVID-19 vaccination, and the results of the related literatures were narratively integrated. Results: A total of 16 English literatures (including 3 reviews) were included, and it was found that the COVID-19 vaccination was cost-effective or cost-saving regardless of the vaccine types, while the cost-effectiveness in different population and under different vaccination dose strategies varied due to vaccine efficacy, vaccine price, duration of natural immunity, duration of vaccination campaign, vaccine supply, and vaccination pace. Conclusions: China lacks suitable evidences of economic evaluation of COVID-19 vaccination strategies based on real-world data in the context of long-term epidemic. Therefore, further researches of suitable strategies of booster COVID-19 vaccination are needed.

Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing.

Atmospheric aerosols have significant effects on the climate and on human health. New particle formation (NPF) is globally an important source of aerosols but its relevance especially towards aerosol mass loadings in highly polluted regions is still controversial. In addition, uncertainties remain regarding the processes leading to severe pollution episodes, concerning e.g. the role of atmospheric transport. In this study, we utilize air mass history analysis in combination with different fields related to the intensity of anthropogenic emissions in order to calculate air mass exposure to anthropogenic emissions (AME) prior to their arrival at Beijing, China. The AME is used as a semi-quantitative metric for describing the effect of air mass history on the potential for aerosol formation. We show that NPF events occur in clean air masses, described by low AME. However, increasing AME seems to be required for substantial growth of nucleation mode (diameter < 30 nm) particles, originating either from NPF or direct emissions, into larger mass-relevant sizes. This finding assists in establishing and understanding the connection between small nucleation mode particles, secondary aerosol formation and the development of pollution episodes. We further use the AME, in combination with basic meteorological variables, for developing a simple and easy-to-apply regression model to predict aerosol volume and mass concentrations. Since the model directly only accounts for changes in meteorological conditions, it can also be used to estimate the influence of emission changes on pollution levels. We apply the developed model to briefly investigate the effects of the COVID-19 lockdown on PM2.5 concentrations in Beijing. While no clear influence directly attributable to the lockdown measures is found, the results are in line with other studies utilizing more widely applied approaches.

Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing† † Electronic supplementary information (ESI) available. See DOI: 10.1039/d1ea00089f

Atmospheric aerosols have significant effects on the climate and on human health. New particle formation (NPF) is globally an important source of aerosols but its relevance especially towards aerosol mass loadings in highly polluted regions is still controversial. In addition, uncertainties remain regarding the processes leading to severe pollution episodes, concerning e.g. the role of atmospheric transport. In this study, we utilize air mass history analysis in combination with different fields related to the intensity of anthropogenic emissions in order to calculate air mass exposure to anthropogenic emissions (AME) prior to their arrival at Beijing, China. The AME is used as a semi-quantitative metric for describing the effect of air mass history on the potential for aerosol formation. We show that NPF events occur in clean air masses, described by low AME. However, increasing AME seems to be required for substantial growth of nucleation mode (diameter < 30 nm) particles, originating either from NPF or direct emissions, into larger mass-relevant sizes. This finding assists in establishing and understanding the connection between small nucleation mode particles, secondary aerosol formation and the development of pollution episodes. We further use the AME, in combination with basic meteorological variables, for developing a simple and easy-to-apply regression model to predict aerosol volume and mass concentrations. Since the model directly only accounts for changes in meteorological conditions, it can also be used to estimate the influence of emission changes on pollution levels. We apply the developed model to briefly investigate the effects of the COVID-19 lockdown on PM2.5 concentrations in Beijing. While no clear influence directly attributable to the lockdown measures is found, the results are in line with other studies utilizing more widely applied approaches. Growth of nucleation mode particles, modulated by air mass exposure to anthropogenic emissions, plays an important role in pollution development.

Structure-Based Discovery and Structural Basis of a Novel Broad-Spectrum Natural Product against the Main Protease of Coronavirus

Over the past 20 years, the severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV), and SARS-CoV-2 emerged, causing severe human respiratory diseases throughout the globe. Developing broad-spectrum drugs would be invaluable in responding to new, emerging coronaviruses and to address unmet urgent clinical needs. Main protease (Mpro;also known as 3CL(pro)) has a major role in the coronavirus life cycle and is one of the most important targets for anti-coronavirus agents. We show that a natural product, noncovalent inhibitor, shikonin, is a pan-main protease inhibitor of SARS-CoV-2, SARS-CoV, MERS-CoV, human coronavirus (HCoV)-HKU1, HCoV-NL63, and HCoV-229E with micromolar half maximal inhibitory concentration (IC50) values. Structures of the main protease of different coronavirus genus, SARS-CoV from the betacoronavirus genus and HCoV-NL63 from the alphacoronavirus genus, were determined by X-ray crystallography and revealed that the inhibitor interacts with key active site residues in a unique mode. The structure of the main protease inhibitor complex presents an opportunity to discover a novel series of broad-spectrum inhibitors. These data provide substantial evidence that shikonin and its derivatives may be effective against most coronaviruses as well as emerging coronaviruses of the future. Given the importance of the main protease for coronavirus therapeutic indication, insights from these studies should accelerate the development and design of safer and more effective antiviral agents. IMPORTANCE The current pandemic has created an urgent need for broad-spectrum inhibitors of SARS-CoV-2. The main protease is relatively conservative compared to the spike protein and, thus, is one of the most promising targets in developing anticoronavirus agents. We solved the crystal structures of the main protease of SARSCoV and HCoV-NL63 that bound to shikonin. The structures provide important insights, have broad implications for understanding the structural basis underlying enzyme activity, and can facilitate rational design of broad-spectrum anti-coronavirus ligands as new therapeutic agents.