Investigating the impact of import, export, and innovation on carbon emission: evidence from Belt and Road Initiative countries.

Carbon emissions are a major cause of global climate change. The public is aware that the world must rapidly reduce its windows to avoid the worst effects of climate change. But how this responsibility is distributed between regions, countries, and individuals has become a recurring element of debate in international debates. Most countries are willing to adopt new policies to tackle the global problem of carbon emission. Since China is a real model and the first country of initiating the goal of carbon neutrality, this study aimed to compare the different impacts of export, import, and innovation on carbon emission in 29 selected countries with the Belt and Road Initiative from 2008 to 2019. STIRPAT modeling, cross-sectional analysis, and integrated testing were used to analyze the obtained data. The results show that exports and imports have a negative effect on carbon emission, and population size and energy efficiency increase carbon emission since most countries under the BRI are developing countries, and they tend to emit greatly due to various factors. However, the adoption of green energy via innovation has a significant impact on carbon emissions. In addition, the adoption of modern technologies via innovation reduces carbon emission by increasing energy efficiency. We recommended a set of policies that can efficiently reduce the emission of carbon to achieve an eco-friendly environment in the selected countries. It is important to promote environmental sustainability and the development of professional enterprises in certain countries.

Role of 18F-fluorodeoxyglucose PET/computed tomography in the diagnosis and treatment response assessment of primary bone lymphoma.

OBJECTIVE: Primary bone lymphoma (PBL) is a rare type of extranodal lymphoma, and the clinical application value of 18F-fluorodeoxyglucose PET/computed tomography ( 18 F-FDG PET/CT) in PBL has not been fully evaluated. This study aimed to determine the imaging characteristics of PBL and investigate the value of 18 F-FDG PET/CT parameters. METHODS: A total of 25 patients with PBL who underwent PET/CT examination before treatment were included in this study. The clinicopathological parameters and PET/CT parameters were analyzed. RESULTS: Among the 25 patients, 7 patients had single lesions, 15 patients had nonsingle lesions (≥2) and 3 patients had diffuse distribution in the medullary cavity. The bone destruction types included osteolytic, osteogenic, normal density, mixed lytic and osteogenic. All patients showed increased FDG uptake, and the CT detection rate was 88%. Five patients underwent PET/CT assessment mid-treatment, and when assessed using the Deauville five-point scale, four patients were PET-negative and one patient was PET-positive. There were two PET-positive and three PET-negative patients when assessed using the Δ maximum standardized uptake value (SUV max ) method. Six patients underwent PET/CT imaging at the end of treatment. When assessed using the Deauville five-point scale, five patients (83%) were PET-negative and one patient (17%) was PET-positive. The same results were obtained when evaluated by the ΔSUV max method. CONCLUSION: PET/CT plays a substantial role in the diagnosis and treatment efficacy evaluation of PBL, and it should be recognized by clinicians and radiologists. Changes in metabolic parameters such as SUV, metabolic tumor volume and total lesion glycolysis have considerable potential for application in PBL diagnostics and treatment efficacy evaluation.

The impact of low-carbon city pilot policy on green total-factor productivity in China's cities.

Whether the low-carbon city construction can coordinate urban economy and environment has attracted increasing attention in recent years. In this study, the impact of low-carbon city pilot (LCCP) policy on urban green total-factor productivity is systematically examined theoretically and empirically. Specifically, the biennial Malmquist-Luenberger (BML) index is adopted to measure urban green productivity. Then, propensity score matching-difference-in-differences (PSM-DID) and spatial DID model are used to quantitatively identify the local and spatial spillover effect of the LCCP policy on urban green productivity during 2004-2018 in China. The results show that (1) The LCCP policy can significantly promote urban green productivity, as confirmed through a series of robustness tests. (2) For transmission mechanism, the LCCP policy can enhance urban green productivity through energy consumption reduction and technological innovation but not through industrial structure optimization. (3) With regard to heterogeneity, cities with better transportation infrastructure, stricter environmental regulation and higher urbanization level, as well as non-resource-based cities have more significantly positive effects of the LCCP policy on urban green productivity. (4) The LCCP policy mainly relies on technological progress rather than technical efficiency improvement to drive urban green productivity. (5) The LCCP policy's effect on urban green productivity has significant positive spatial spillover feature, which can significantly promote green productivity in both pilot cities and their neighboring cities. Our findings can provide valuable insights for low-carbon city construction to promote urban sustainable development in China.

A study on the evolution of economic patterns and urban network system in Guangdong-Hong Kong-Macao greater bay area.

The COVID-19 pandemic has seriously affected China's macroeconomy, industrial transformation, and high-quality development. Research on economic patterns and urban network systems can provide a reference for healthy development of the regional economic system. The evolution of the economic pattern and urban network system of Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2010 to 2020 is investigated using methods (e.g., the gravity center model, the gravitational force model, social network analysis, and geographic information system). (1) The gravity center of gross domestic product (GDP) of the GBA is located in Nansha district, Guangzhou, with a skewing direction northwest-east-northwest and a movement rate of "large-small-large." The center of import and export and the center of consumption show a "zigzagging migration" in which the center of investment shows an "irregular (random) migration". (2) The economic connection degree of cities in the GBA exhibits a high ascending velocity, and the whole area tends to be mature, with a significant effect of spatial proximity. With the steady increase in network density, there is significant polarization of network centrality in the region. The four major cohesive subgroups have been relatively stable and consistent with the degree of geographic proximity of the cities. The center-periphery structure is more significant, in which the core area is extended to the cities on the east coast of the Pearl River Estuary, thus forming the core cluster of "Hong Kong-Shenzhen-Guangzhou-Dongguan." In this study, the evolution of economic patterns and urban network systems in the GBA over the past decade is analyzed using multiple methods (i.e., gravity model, urban network system analysis, and geographic information system) based on urban socioeconomic data by starting from various spatial elements (e.g., "points, lines, and networks") to gain insights into and optimize research on regional economic development after the COVID-19 pandemic.

Developing spatio-temporal approach to predict economic dynamics based on online news.

Economic forecasting is a scientific decision-making tool, and it is one of the important basis for the government to formulate economic plans, predict the implementation of the plan, and guide the implementation of the plan. Current knowledge about the use of online news in the prediction of economic patterns in China is limited, especially considering the spatio-temporal dynamics over time. This study explored the spatio-temporal patterns of economic output values in Yinzhou, Ningbo, China between 2018 and 2021, and proposed generalized linear model (GLM) and Geographically weighted regression (GWR) model to predict the dynamics using online news data. The results indicated that there were spatio-temporal variations in the economic dynamics in the study area. The online news showed a great potential to predict economic dynamics, with better performance in the GWR model. The findings suggested online news combining with spatio-temporal approach can better forecast economic dynamics, which can be seen as a pre-requisite for developing an online news-based surveillance system The advanced spatio-temporal analysis enables governments to garner insights about the patterns of economic dynamics over time, which may enhance the ability of government to formulate economic plans and to predict the implementation of the plan. The proposed model may be extended to greater geographic area to validate such approach.

Analysis of Spatio-Temporal Characteristics of Urban Economic Resilience and Influencing Factors in Guangdong-Hong Kong-Macao Greater Bay Area.

Due to the changes in the domestic and international economic situation in the post-pandemic era, the economic development of the Guangdong-Hong Kong-Macao Greater Bay Area has become unstable in many aspects. The paper adopted the Pressure-State-Response (PSR) model to build a regional economic resilience evaluation system from the perspective of public health emergencies. Then, the spatial and temporal evolution of the economic resilience of the Guangdong-Hong Kong-Macao Greater Bay Area and the influencing factors were explored by using entropy weight method, GIS and gray correlation method. The conclusions show that: (1) Temporally, the economic resilience of the Guangdong-Hong Kong-Macao Greater Bay Area has generally increased from 2010 to 2021, and is divided into three main stages: rapid development, adjustment to fluctuations and stable development. (2) Spatially, the overall pattern of economic resilience in the Guangdong-Hong Kong-Macao Greater Bay Area is high in the middle and south and low in the northwest, and shows a "stochastic-equalized-polarized" pattern of transformation. (3) In terms of influencing factors, economic status and economic response are the main dimensions affecting the resilience level of the economic system in the Guangdong-Hong Kong-Macao region. The level of scientific research and innovation, medical governance, government regulation and the rationalization of the industrial system are the key factors.

The performance of water-soluble fluoride transformation in soil-tea-tea infusion chain system and the potential health risk assessment.

BACKGROUND: Water-soluble fluoride (WS-F) can be absorbed directly by tea plants from soil and comprises a major source of dietary F in tea consumers. To reveal the WS-F accumulation in tea leaves and assess WS-F health risks, 70 sets of samples including tea leaves at three maturity stages and corresponding topsoil were collected from Xinyang, China. The WS-F contents in tea samples and pH values in soil samples were determined. RESULTS: The contents of WS-F in tea leaves exhibited a positive correlation with leaf maturity. The contents of WS-F in tea leaves showed a positive correlation with WS-F contents in the soil as the soil pH value exceeds 5. All the bud with two leaves samples, 84.29% of the third to sixth leaves samples, and 78.57% mature leaves samples in 5-min infusion tend to be no health threat. The leaching characteristics of WS-F from tea leaves were influenced by the leaf maturity and soaking time. CONCLUSION: Taking measures to control pH and WS-F concentration of plantations soil, as well as drinking tea infusion made from young leaves or reducing soaking time could decrease the WS-F health risk. © 2021 Society of Chemical Industry.

Genome-Wide Assessment of Runs of Homozygosity and Estimates of Genomic Inbreeding in a Chinese Composite Pig Breed.

The primary purpose of the current study was to assess the genetic diversity, runs of homozygosity (ROH) and ROH islands in a Chinese composite pig and explore hotspot regions for traces of selection. First, we estimated the length, number, and frequency of ROH in 262 Xidu black pigs using the Porcine SNP50 BeadChip and compared the estimates of inbreeding coefficients, which were calculated based on ROHs (FROH) and homozygosity (FHOM). Our result shows that a total of 7,248 ROH exceeding 1Mb were detected in 262 pigs. In addition, Sus scrofa chromosome (SSC) 8 and SSC10, respectively, has the highest and lowest chromosome coverage by ROH. These results suggest that inbreeding estimation based on total ROH may be a useful method, especially for crossbreed or composite populations. We also calculated an inbreeding coefficient of 0.077 from the total ROH. Eight ROH islands were found in this study. These ROH islands harbored genes associated with fat deposition, muscular development, reproduction, ear shape, and adaptation, such as TRAF7, IGFBP7, XPO1, SLC26A8, PPARD, and OR1F1. These findings may help to understand the effects of environmental and artificial selection on the genome structure of composite pigs. Our results provide a basis for subsequent genomic selection (GS), and provides a reference for the hybrid utilization of other pig breeds.

Establishment of visual assessment for the severity of dark circles in Chinese Han women.

OBJECTIVE: To establish a visual assessment scale for the severity of dark circles' pigmented and vascular type in Chinese women. MATERIALS AND METHOD: A total of 269 healthy Chinese women from Shanghai with different degrees of dark circles', both pigmented and vascular types, were evaluated by visual assessment. Photographs of their dark circles were analyzed by image analysis. RESULTS: The visual assessment evaluation on classification and severity showed a favorable agreement between the successive measured results. Significant differences from very slight to severe dark circles for pigmented type and vascular type were observed. The severity level by visual assessment was significantly positively correlated with ΔE values while negatively correlated with ΔL values (P < .01) in both pigmented and vascular types. Besides, Δa values of vascular type were significantly positively correlated with the ΔE values for dark circles' vascular type. Values between ΔE and ΔL also showed a significant negative correlation (P < .01). CONCLUSION: The five-point visual assessment scale for dark circles of vascular and pigmented types was verified and proved to have good repeatability. The image analysis's objective result proved significant and consistent with the visual assessment and color parameters. This scale could be a useful and effective tool in diagnosing dark circles' severity.

Green finance, fintech and environmental protection: Evidence from China.

This paper is one of the first to offer a comprehensive analysis of the impact of green finance related policies in China, utilizing text analysis and panel data from 290 cities between 2011 and 2018. Employing the Semi-parametric Difference-in-Differences (SDID) we show that overall China's green finance related policies have led to a significant reduction in industrial gas emissions in the review period. Additionally, we found that Fintech development contributes to the depletion of sulphur dioxide emissions and has a positive impact on environmental protection investment initiatives. China is poised to be a global leader in green finance policy implementation and regulators need to accelerate the formulation of green finance products and enhance the capacity of financial institutions to offer green credit. While minimizing the systemic risk fintech poses, policy makers should encourage fintechs to actively participate in environmental protection initiatives that promote green consumption.

Urodynamic assessment of bladder storage function after radical hysterectomy for cervical cancer.

BACKGROUND: After radical hysterectomy for cervical cancer, the most common complication is lower urinary tract symptoms. Post-operatively, bladder capacity can alter bladder function for a prolonged period. This study aimed to identify factors affecting bladder storage function. METHODS: A multicenter, retrospective cohort study was conducted. Information of patients with stages IA2 to IIB cervical cancer with urodynamic study results were retrospectively collected from nine hospitals between June 2013 and June 2018 according to the inclusion criteria. Demographic, surgical, and oncological data were collected. The univariate and multivariate logistic regression was used to identify clinical factors associated with bladder storage function. RESULTS: Two hundred and three patients with cervical cancer had urodynamic testing post-operatively. Ninety-five (46.8%) patients were diagnosed with stress urinary incontinence (SUI). The incidence of low bladder compliance (LBC) was 23.2%. Twenty-seven (13.3%) patients showed detrusor overactivity (DO). Fifty-seven patients (28.1%) presented with a decreased maximum cystometric capacity (DMCC). The probability of composite bladder storage dysfunction was 68.0%. Multivariate analysis confirmed that laparoscopy represents a protective factor for SUI with an odds ratio of 0.498 (P = 0.034). Patients who underwent a nerve-sparing procedure were less odds to experience SUI (P = 0.014). A significant positive correlation between LBC and DO was observed (P < 0.001). A greater length of the resected vagina and chemoradiotherapy were common risk factors for LBC and DO, while radiotherapy exerted a stronger effect than chemotherapy. Additionally, patients who received chemoradiotherapy frequently developed a DMCC. The follow-up time was not correlated with bladder storage function. CONCLUSION: A nerve-sparing procedure without longer resected vagina is recommended for protecting the bladder storage function.

[Assessment and Spatial Characteristics Analysis of Human Health Risk of Heavy Metals in Cultivated Soil].

Spatial characteristics analysis of the human health risk posed by heavy metals in cultivated soils is of great significance, with the potential to prevent and control soil pollution, protect human health, provide a basis for risk management, etc. In this paper, a methodological system, including a USEPA health risk assessment model, differentiation and factor detector within a geographical detector, and optimized initial model of rank-size theory, was constructed from a geographical perspective. Taking a city in Jiangsu province as the research object, we obtained the spatial differentiation and relative level of human health risk of Cr, Pb, Hg, and Cd in cultivated land by using the methodological system constructed and SPSS and ArcGIS software. The average concentrations of heavy metals (mg·kg-1) in the research area were Cr (65.207 mg·kg-1), Pb (25.486 mg·kg-1), Cd (0.238 mg·kg-1), and Hg (0.045 mg·kg-1), which were lower than the risk control standards for soil contamination of agricultural land in China. The children's non-cancer risk of Cr and Pb and the cancer risk to children and adults of Cr were 2.914385, 1.337503, 4.312679×10-6, and 8.137130×10-6, respectively, all of which exceeded the maximum acceptable limit in the research. Meanwhile, the spatial differentiation (q) of heavy metal health risk was between 0.005523 and 0.204238, which indicated that the high health risk posed by heavy metals should be paid attention to. The health risk rankings (R) of the children's non-cancer risk of Cr and Pb and the cancer risk of Cr in subregions 1, 2, 3, and 4 approached or exceeded 1, and were higher than in subregions 5, 6, and 7, for which R was lower than 0.1. The R values indicated than the high health risk is concentrated in the research region. This research has great significance in measuring the health risk of heavy metals in cultivated soil at different scales, and in forming control strategies with local conditions.

Evaluating the environmental effects of economic openness: evidence from SAARC countries.

This study investigates the possible environmental effects of economic openness, such as economic growth, foreign direct investment (FDI) inflows, and trade liberalization in South Asian Association for Regional Cooperation (SAARC) countries. The study employed panel autoregressive lag distribution (ARDL) model to evaluate the environmental effects of economic openness; causality test was also conducted to confirm short- and long-run causality among the variables under discussion. The results show that trade, FDI, capital, and economic growth in the long run have a positive correlation with environmental degradation in SAARC countries while FDI, capital, and trade inflows have a negative relation with CO2 emissions in the short run. Furthermore, economic growth by creating new job opportunities improved emissions also in the short run. FDI, trade, capital, and GDP have long-run causality with CO2 emissions. Bidirectional causality was found between GDP and CO2 emissions, unidirectional causality was also running from FDI inflows to economic growth, unidirectional causality running from capital to FDI and trade to capital. Finally, trade and economic growth also have unidirectional causality in the short run. This study concludes, therefore, that SAARC countries should invest in green energy and promote green trade liberalization.

Lending practices to same-sex borrowers.

Using massive US mortgage lending data, we propose a method to infer a borrower's sexual orientation indirectly without a self-identification requirement and demonstrate the method's potential to approximately measure the sexual orientation of the US population at the local level annually over decades. We continue to examine the lending practices to same-sex borrowers and its spillover effects. The persistent results since 1990 reveal that, in contrast with otherwise comparable different-sex loan applicants, the approval rate for same-sex applicants is ∼3-8% lower. Furthermore, conditional on approval, lenders, on average, charge about 0.02-0.2% higher interest to same-sex borrowers, which is equivalent to an annual total of $8.6 million to $86 million in additional interest/fees nationwide. Meanwhile, we find that same-sex borrowers are less risky overall, as they exhibit similar default risk but lower prepayment risk. Finally, we document findings of spillover effects. That is, when the share of a neighborhood's same-sex population increases, both same-sex and different-sex borrowers seem to experience more unfavorable lending outcomes overall. The findings should raise enough concerns to warrant further investigations.

How does natural resource dependence affect public education spending?

The "resource curse" phenomenon has been the subject of extensive research, with its causes and transmission mechanisms primarily examined from the perspectives of economic development and rent seeking. Education is a major factor contributing to economically sustainable development, owing to its potential for improving cognition and skill levels and thereby enhancing worker productivity. The crowding-out or crowding-in effect of natural resource dependence on public education spending has been identified as one of the key mechanisms of the resource curse or blessing. Using panel data from 31 Chinese provinces, this empirical study revealed a positive correlation between natural resource dependence and public education expenditure, demonstrating the impact of the crowding-in effect, exerted by natural resource dependence, on public education expenditure. Abundant natural resources can provide funds for education expenditure. The sample was further divided into eastern and central and western regions. The results indicate that the crowding-out effect of natural resource dependence only affects public education expenditure in the Eastern region, while the crowding-in effect of natural resource dependence on public education expenditure in the central and western regions. Research shows that the regional differences of crowding-out or crowding-in effect are very obvious, so the government should adopt transfer payment to promote balanced regional development. Better economic and social policies will help to translate wealth from natural resources into economic growth. Thus, a "resource blessing" may emerge to replace the "resource curse." Fairly distributed and higher quality education will enhance human capital, thereby promoting economic growth from its current resource-driven pattern to a knowledge-driven pattern.

Cost-Efficient and Multi-Functional Secure Aggregation in Large Scale Distributed Application.

Secure aggregation is an essential component of modern distributed applications and data mining platforms. Aggregated statistical results are typically adopted in constructing a data cube for data analysis at multiple abstraction levels in data warehouse platforms. Generating different types of statistical results efficiently at the same time (or referred to as enabling multi-functional support) is a fundamental requirement in practice. However, most of the existing schemes support a very limited number of statistics. Securely obtaining typical statistical results simultaneously in the distribution system, without recovering the original data, is still an open problem. In this paper, we present SEDAR, which is a SEcure Data Aggregation scheme under the Range segmentation model. Range segmentation model is proposed to reduce the communication cost by capturing the data characteristics, and different range uses different aggregation strategy. For raw data in the dominant range, SEDAR encodes them into well defined vectors to provide value-preservation and order-preservation, and thus provides the basis for multi-functional aggregation. A homomorphic encryption scheme is used to achieve data privacy. We also present two enhanced versions. The first one is a Random based SEDAR (REDAR), and the second is a Compression based SEDAR (CEDAR). Both of them can significantly reduce communication cost with the trade-off lower security and lower accuracy, respectively. Experimental evaluations, based on six different scenes of real data, show that all of them have an excellent performance on cost and accuracy.

[Problems and countermeasures for development of acupuncture and moxibustion sciences].

It is the problems facing acupuncture and moxibustion medicines in our country that the course of modernization has a tendency to deviating guidance of TCM theories; the course of internalization lacks legislative guarantee; the kinds of diseases treated decrease year by year; professional structures shrink, with lower therapeutic fee, and acupuncture and moxibustion are divorced from each other, making it develop slowly; income of acupuncturists is low so as to a large number of talent outflow; international talent for acupuncture and moxibustion lack systematical and scientific training. Therefore, you should grasp the development opportunity of internalization of acupuncture and moxibustion, taking difficult and complicated diseases as focal point, develop scientific studies of standardization, further increasing therapeutic effects, and increasing investment and training of talents, and other measures for strengthening construction of acupuncture and moxibustion sciences.

[Maximum likelihood analysis for mapping dynamic trait QTL in outbred population II. Simulation].

Based on the maximum likelihood analysis principle for dynamic trait QTL mapping, selecting three orders Legendre polynomial as sub-model,the effects of the individual number, the frequency of test day,the marker density and heritability on detecting power are investigated by Monte-Carlo simulation. Each factor is divided into three levels such as the high,middle and low,the combinations of which are arranged by using orthologal design. The simulating result shows that the high heritability needs less number of individuals and frequency of test day than the low one, but the number of individuals of more than 300 and the frequency of test day of 5% above can guarantee sufficient detecting power no matter what the heritability is like. The number of individuals has almost the same effect as the frequency of test day in dynamic traits QTL mapping and the number of individuals and the frequency of test day compensate each other under the same size of samples. As to the QTL detection for a dynamic point,simulation indicates that the presented dynamic trait QTL mapping method that focuses on the whole dynamic process is significantly superior to the classical mapping methods on each individual dynamic point.