Jiangsu Province Research Articles

The Promoting Effect of Green Bonds on Reducing Carbon Emission Intensity Through Energy Structure Transition

Climate change poses a significant threat to the sustainable development of all countries. The transition to low-carbon energy sources is a crucial strategy for reducing carbon emissions and mitigating climate change. We investigate the mediating role of clean energy consumption (EC) and fossil energy supply (ES) on the promoting of carbon emission intensity per unit of GDP (CO2/GDP) reduction by green bonds (GBs). We develop a mediating model to analyze how GB influences CO2/GDP reduction through EC and ES, utilizing panel data from 13 prefecture-level cities in Jiangsu province spanning the years 2007 to 2021. Additionally, we assess the model’s reliability through endogeneity and robustness tests. We find that GBs contribute to reducing CO2/GDP by facilitating the structural transition of energy supply and consumption. Furthermore, the development of GBs enhance the consumption of clean energy and plays a direct role in advancing the transition in structure of both energy supply and energy consumption. Notably, we observe heterogeneity in the effectiveness of GBs on CO2/GDP reduction across different regions. Therefore, it is imperative for the government to actively promote the development of GBs to achieve sustainable economic growth. Furthermore, both financial and energy policies should be tailored to align with the specific energy structures of various regions.

Genotype of Varicella-zoster virus isolated in Jiangsu, China

ObjectiveTo analyze the genotypes of VZV in Jiangsu province to identify vaccine strains and wild strains, providing a molecular biological background for the effective prevention and control of varicella.MethodStratified sampling was used to collect herpes fluid or throat swab from patients diagnosed with varicella. ORF22 was carried out, and the restriction enzyme site of ORF38, ORF54 and ORF62 were detected.ResultsAll 207 virus strains were Clade 2 type by sequencing the PCR products of ORF22. The sequencing results showed that five SNP sites changed compared to the Dumas reference strain(Clade 1). From A to G at 37,902, from T to c at 38,055, from A to C at 38,081, and from G to A at 38,177, from G to A at 39,394. The prevalent VZV genotypes in Jiangsu is consistent with the P-Oka. The restriction enzyme site analysis of PCR amplification products from ORF38 (PstI), ORF54 (BglI), ORF62 (SmaI) showed that all 207 virus strains were wild-type. There were two different types of the wild strains, and 183 strains (88.4%) were PstI (+), BglI (+), SmaI (-). The wild strains between different regions showed no significant differences (χ2 = 0.05, P = 0.982).ConclusionsThe prevalent VZV genotypes are Clade 2 and the prevalent virus strains are wild strains in Jiangsu Province, the primary wild strain observed is mainly PstI (+), BglI (+), SmaI (-).

The larva and pupa of Anabolia appendix (Ulmer 1905) (Trichoptera: Limnephilidae) from China

Adult females from the town of Xin-si, Ding-xi County, Gan-su Province, as well as larvae and pupae from Tian-jun and Qi-lian Counties, Hai-bei Tibetan Autonomous Prefecture, Qing-hai Province, were examined, and their COI sequences were extracted and analyzed. Adult females were identified as Anabolia appendix (Ulmer 1905) and were associated with larvae and pupae by their COI sequences. The larva and pupa of A. appendix are described and diagnosed for the first time and morphological photos of the larva and pupa of A. appendix are also provided. All the COI sequences have been uploaded to GenBank. All specimens are deposited in the Insect Collection, Nan-jing Agricultural University, Nan-jing, Jiang-su Province, P. R. China.

Epidemiological characteristics of influenza outbreaks in schools in Jiangsu Province, China, 2020–2023 post-COVID-19 pandemic

BackgroundThis study aimed to analyze the epidemic characteristics and influencing factors of school influenza outbreaks in Jiangsu Province, China from 2020 to 2023,following the COVID-19 pandemic, to inform prevention and control strategies.MethodsData on influenza-like illness(ILI) outbreaks from the Chinese Influenza Surveillance Information System and national-level influenza surveillance sentinel hospitals were analyzed. The temporal distribution, school type, virus strains, and outbreak scales were examined using descriptive statistics.ResultsFrom 2020 to 2023, 1142 influenza outbreaks occurred in schools, with primary schools(ages 6 to 12) accounting for 71.80%. Most large outbreaks were caused by A(H1N1) and A(H3N2), responsible for 8.99% of total outbreaks. Outbreaks were predominantly reported in the pre-peak periods of B(Victoria) and A(H1N1) circulation, accounting for 86.31% and 92.32% of their respective total outbreaks. No concurrent influenza and COVID-19 outbreaks were observed during the study period.ConclusionPrimary and secondary schools are high-risk settings for influenza outbreaks. A(H3N2) shows higher adaptability and is more likely to co-circulate with other subtypes/lineages, especially A(H1N1), leading to larger outbreaks. B(Victoria)-caused outbreaks are more frequent but smaller in scale. School influenza outbreaks are more likely to occur during the early stages of seasonal peaks, particularly for B(Victoria) and A(H1N1). This suggests that influenza outbreaks in schools may play a crucial role in seeding and accelerating the spread of the virus within the broader community.

Spatiotemporal Pattern Analysis and Prediction of Carbon Storage Based on Land Use and Cover Change: A Case Study of Jiangsu Coastal Cities in China

Accurate estimation of terrestrial ecosystem carbon storage and the scientific formulation of ecological conservation and land use policies are essential for promoting regional low-carbon sustainable development and achieving the goal of “carbon neutrality.” In this study, the FLUS–InVEST model was used to evaluate the carbon stocks of the Jiangsu coastal zone in China from 1995 to 2020 and scientifically forecast the changes in carbon stocks in 2030 under three scenarios: natural exploitation, ecological protection, and economic development. The results are as follows: (1) From 1995 to 2020, carbon storage in the coastal zone initially remained stable before declining, a trend closely linked to the accelerated urbanization and economic growth of Jiangsu Province. (2) By 2030, carbon storage under the three scenarios exhibits a pattern of “S1 decrease–S2 increase–S3 decrease,” with a more significant increase in construction land under the natural development and economic development scenarios compared to the ecological protection scenario. (3) The sensitivity of carbon storage to land use changes varies across scenarios. In the natural development scenario, carbon storage is most affected by forest reduction and construction land expansion. In the ecological protection scenario, it is more responsive to increases in non-construction land. In the economic development scenario, the expansion of construction land leads to the most significant decrease in carbon storage. Therefore, when formulating future territorial spatial planning policies and urban development strategies, it is essential to consider ecological protection and economic development scenarios comprehensively, taking into account carbon sequestration capabilities. This approach will ensure effective conservation and restoration of damaged ecosystems while safeguarding the robust development of urban economies and societies.

Study on Spatiotemporal Characteristics and Influencing Factors of High-Resolution Single-Season Rice

Single-season rice describes the area under rice cultivation from May–October of the year. Many scholars have used lower-resolution data to study single-season rice in different regions, but using high-precision and high-resolution single-season rice data can reveal new phenomena. This paper uses a long-time-series, high-precision, and high-resolution single-season rice cultivation dataset to conduct an in-depth analysis of the spatial–temporal variability characteristics of single-season rice in Jiangsu Province, China, from 2017 to 2021. It explores the correlation between meteorological factors and greenhouse gasses for single-season rice. It analyzes the driving role of social factors on single-season rice. The results showed that single-season rice was mainly grown in the central and northeastern regions of the study area. The single-season rice cultivation was significantly reduced in 2020 due to the impact of COVID-19. Single-season rice strongly correlates with meteorological factors in time but shows a weak spatial correlation. This is because human factors largely dominate the area under single-season rice cultivation. Methane emissions in the study area are mainly influenced by anthropogenic activities rather than single-season rice. Social factors are essential in controlling single-season rice cultivation in the study area. This study was conducted in Jiangsu Province, China. Still, the methodology and results have important implications for agricultural production and environmental management studies in other regions, and some findings have general applicability.

Sex and Dominance Differences in the Relationship Between Childhood Trauma and Prosocial Behavior: The Roles of Meaning in Life and Resilience.

The impact of childhood trauma on adolescents' development is a key topic in social science. Much of the existing literature focuses on its negative consequences, with limited study on its effects on positive social functions, particularly prosocial behavior. This study aims to uncover the link between childhood trauma and prosocial behavior among Chinese adolescents, focusing on how meaning in life and resilience mediate this relationship and how sex and social dominance goals moderate these effects. This study utilized random cluster sampling to survey 659 adolescents (mean age = 15.05, SD = 1.576, 53.6% female) in Huai'an City, Jiangsu Province, China. Data on childhood trauma, meaning in life, resilience, and prosocial behavior were collected through self-reported measures. The data were analyzed through Process Macro Model 4 for mediation effects and Model 8 for moderated mediation in SPSS 26.0. Findings indicated that meaning in life (β = -.042, P < .001, SE = 0.015) and resilience (β = -.071, P < .001, SE = 0.018) partially mediate the impact of the main effect. Social dominance goals reduced the negative effects of trauma on prosocial behavior; higher levels lead to reduced impacts (β = -.173, P < .001, SE = 0.039, t = -4.448). Sex differences also moderated the effect of trauma on meaning in life, with females experiencing a greater decrease in the meaning of life after adversity (β = -.825, P < .001, SE = 0.112, t = -7.372). This research offers new insights into the mechanisms by which childhood trauma affects prosocial behavior and emphasizes the need to consider sex and social dominance goals in trauma interventions.

Resource allocation for Hyphantria cunea invasive management:a novel simulation-based optimization model

In this study, we propose an integrated mixed-integer programming (MIP) model for allocating a limited budget to control a destructive invasive insect endangering the forest vegetation, Hyphantria cunea (H. cunea). Our model seeks to minimize the number of infected and dead trees within a preset planning period, factoring in various infestation scenarios, migration behaviors, resource limitations, intervention timing, and monitoring capabilities. Our modeling framework is novel in the sense that it depicts the transmission process of H. cunea as an infectious compartmental model. Our optimization model is also meaningful because it innovatively bridges the spread dynamics of H. cunea and the optimal resource allocation by using the time-varying number of infected trees that can be accepted in testing and surveillance. Our numerical test data and parameter settings have been collected from large-scale field surveys on H. cunea in Jiangsu Province over the past three years. The scenarios-based method offers significant computational advantages in searching for the best alternatives to real-world size problems in a rational time. Furthermore, our test results specify that the proposed model can not only aid in controlling H. cunea, but also can be adopted as a potential tool for managing other invasive species in the future.

Economic and Social Benefits of Aquavoltaics: A Case Study from Jiangsu, China

Aquavoltaics is an innovative and beneficial solution that makes dual use of water area for photovoltaic (PV) power generation and aquaculture. Currently, China has made remarkable developments in aquavoltaics. This paper first analyzes the current development status of aquavoltaics in China, then takes the TW “fishery–PV integration” base project in Nanjing, Jiangsu Province, as a case study to analyze its economic and social benefits, and finally puts forward countermeasure suggestions for the development of aquavoltaics in China. It is found that Jiangsu Province is one of the clustering areas for the development of aquavoltaics in China, and the development of aquavoltaics in this province has a high level of specialization. The payback period (PP) of the TW “fishery–PV integration” base project is 10.44 years, the net present value (NPV) is USD 18.5334 million (the discount rate is 5%), and the internal rate of return (IRR) is 8.06%. The social benefits of this project are mainly reflected in the promotion of energy conservation and emission reduction, the alleviation of energy shortages, the optimization of land use, and the development of culture, tourism, science, and education. The development of aquavoltaics should be promoted by strengthening scientific research, paying attention to the impact of PV panel erection on the ecological environment of the waters, emphasizing the fishery farming part of the aquavoltaic project, and improving the commercial operation mode of the aquavoltaic project.

The correlation between stigma and treatment adherence, quality of life in patients with rheumatoid arthritis: A mixed-methods study.

To investigate the current status of stigma in patients with rheumatoid arthritis (RA), and its correlation with treatment adherence and quality of life. The convenience sample of 266 patients diagnosed with RA was surveyed at the rheumatology and immunology outpatient department of a tertiary hospital in Jiangsu Province from May 2022 to September 2022. In addition to this, 20 RA patients were purposively sampled for semi-structured in-depth interviews, and the data were analysed using content analysis methods. The total stigma's score of the 266 participants was (47.8 ± 10.8), which indicates a moderate level of stigma. The mean scores for alienation, stereotype endorsement, perceived discrimination, and social withdrawal were (2.2 ± 0.7), (2.4 ± 0.7), (2.9 ± 0.6), and (2.2 ± 0.6) respectively. A comparison of the average family monthly income, family roles, duration, disease activity, duration of morning stiffness, visual analogue scale score, C-reactive protein, erythrocyte sedimentation rate, and total stigma score revealed significant differences (p < 0.05). The total treatment adherence score was negatively correlated with the total stigma's score and scores in each dimension (p < 0.05). Similarly, the total psychological health score and total physical health score were negatively correlated with the total stigma score and scores in each dimension (p < 0.05). The qualitative study identified six themes: self-denial, discrimination, lack of disease-related knowledge, high medical costs, increased life burden and resistance to stigma. Stigma affects RA patients' treatment adherence and quality of life negatively. Healthcare workers are advised to develop comprehensive intervention programs that address the current status of stigma, with the aim of controlling disease progression, reducing disability rates, and improving the quality of life for RA patients.

An Instrumental Analysis of the Triad Association Between Sugar-Sweetened Beverages, Screen Time, and Dental Caries in Adolescents

Background: Previous studies reported screen time in association with unhealthy dietary behaviors, such as excessive intake of sugar-sweetened beverages leading to dental caries. Thus, we aimed to explore the association between screen time on mobile devices and dental caries experience in adolescents, as well as whether sugar-sweetened beverages would mediate the association. Methods: We analyzed 24,374 junior and senior high school students of age 12 to 17 years from the 2021 “Surveillance for common diseases and health risk factors among students” Project in Jiangsu Province of China. Dental caries experience was determined by the designated dentists. Screen time and consumption of sugar-sweetened beverages were self-reported and treated as a priori risk. We employed an instrumental variable (IV) approach for the current cross-sectional setting. We used the lasso technique to shortlist covariates from a range of confounding factors. Binary logistic regression or ordered logistic regression was performed where appropriate to explore the associations of screen time on mobile devices with dental caries and sugar-sweetened beverages. Results: The prevalence rate of dental caries was 38.4% in the study population. In comparison with &lt;2 h/d screen time on mobile devices, extended screen time (≥2 h/d) was associated with higher dental caries risk (coefficient: 1.27, 95%; confidence interval: 0.80–1.75). Mediation analysis suggested that sugar-sweetened beverage intake might be an independent risk factor for dental caries, instead of the mediator between screen time on mobile devices and dental caries. None of the interaction terms under investigation was statistically significant. Conclusions: Exposure to mobile device screens and sugar-sweetened beverages was associated with dental caries in adolescents. These findings highlighted the importance of increasing awareness of potential risks owing to mobile device usage and sugar-sweetened beverages and the necessity to develop appropriate intervention strategies for school-aged adolescents.

Construction of a comprehensive meteorological risk index for wheat Fusarium head blight prediction based on more than a half-century of monitoring data.

Fusarium head blight (FHB) represents a critical threat to wheat production globally, not only reducing yields but also contaminating crops with harmful mycotoxins. This study aimed to elucidate new spatiotemporal patterns of FHB incidence and to develop a comprehensive meteorological risk index to enhance scientific prevention and control of the disease. Through the analysis of annual and decadal variations from 1965 to 2023, the study assessed FHB trends across four agricultural regions (I, II, III, and IV) in Jiangsu Province, located in the middle and lower reaches of the Yangtze River-a hotspot for FHB in China. Key findings include: Since 1965, Regions I and III consistently exhibited higher FHB incidence rates compared to Regions II and IV. Post-2000, there was a notable increase in years with high incidence rates, with Region III overtaking Region I as the region with the highest incidence. Since 2010, occurrences of FHB reaching the most severe grade (Grade 5) have surpassed those in previous decades across all regions. The study also revealed a stronger correlation between meteorological factors (cumulative precipitation, number of days with rainfall ≥ 0.1 mm, total rainy days with ≥ 2 and ≥3 consecutive days of rain, total rainy days with both average daily air temperature ≥ 15 °C and daily rainfall ≥ 0.1 mm, days with average daily relative humidity ≥ 85%, cumulative sunshine hours, and cumulative cloudy days) and the FHB incidence rates during the heading-flowering-grain filling period in Regions I, II, and III, compared to the heading-flowering period alone. This indicates that optimal temperature and high humidity during the grain filling stage significantly contribute to the final FHB incidence rates. Despite the less apparent correlation between temperature changes and disease rates, the significant warming trend observed since 2000 has likely fostered conditions conducive to the proliferation of FHB. The comprehensive meteorological risk index, constructed to incorporate key meteorological factors during the heading-flowering-filling period, showed a strong correlation with actual disease incidences. The index demonstrated fitting accuracy rates of 84.7% for Region I, 72.9% for Region II, 83.1% for Region III, and 90.9% for Region IV, underscoring its effectiveness in predicting FHB occurrences. This tool offers both convenience and practicality, providing valuable insights for strategically managing FHB risks based on local weather conditions.

A new leaf spot caused by Alternaria alternata on Atractylodes lancea in Jiangsu, China.

Atractylodes lancea is an important Chinese herbal medicine, which is mainly produced in Jiangsu province, China. In June 2022, leaf spots symptom were observed on some A. lancea seedlingsgrowing in a Chinese herbal medicine resource garden of NanjingBotanical Garden, Jiangsu. Approximately 75% of 100 A. lancea seedlings suffered from the disease. Initially, gray to black spots appeared at the tip of the blade, then spread deep into the petiole, finally causing the blade to wither and fall. To isolate the pathogen, five diseased leaves were collected from five different seedlings. Leaf sections (3 to 4 mm) were excised from the margins between healthy and diseased tissues, surface sterilized in 75% alcohol for 30 s, then in 1.5% NaClO for 90 s, rinsed three times in sterilized distilled water, plated on potato dextrose agar (PDA) and incubated at 25℃in darkness. Pure cultures were obtained by monosporic isolation. Eighteen isolates were obtained, and 77.8% of isolates was identified as Alternaria spp. A representative isolate, CS4-1 was used for further investigation. The colony of CS4-1, growing on PDA was cotton-like and black to brown with gray-white aerial hyphae on their surfaces, and dark gray on the back. The conidia were solitary on conidiophores and were oval to pear-shaped, brown in color, with 1 to 4 transverse septa and 0 to 1 oblique septa, parietal cells extending into the beak, and measured 8.9 to 39.5×6.0 to 13.5 µm (n=35). These characteristics were consistent with the description of Alternaria spp. (Simmons 2007). Six DNA regions, i.e.,internal transcribed spacer (ITS),large subunit ribosomal RNA (LSU), small subunit ribosomal RNA (SSU), anonymous region OPA10-2, Alt a 1 major allergen (Alta1), glyceraldehyde 3-phosphate dehydrogenase (GAPDH)and translation elongation factor 1-alpha (TEF1)with the respective GenBank Accession No. OP836052, OP836054, OP836051, OP851487, OP851488, OP851489, and OP851490, were amplified and sequenced with the primer pairs described by White et al. (1990) and Woudenberg et al. (2015). A neighbor-joining phylogenetic tree was generated by combining all sequenced loci in MEGA7, and CS4-1 clustered in the A. alternata clade. To test pathogenicity, 12 leaves, on three one-month-old A. lancea seedlings (four leaves from each seedling) were wounded with a sterile needle and inoculated with 20 μL of conidial suspension (1×106 spores/mL) on the left sides of leaves. The right sides of the leaves were inoculated with 20 µL sterile water and used as the control. All inoculated detached leaves and seedlings were covered with clear polyethylene bags to keep moisture and were incubated in a greenhouse at 25℃, 80% relative humidity, and a 12-h light/dark cycle. The experiment was repeated three times. After 4 days, typical gray to black spots were visible on the left sides of all inoculated leaves and the inoculated seedlings, and the right sides remained asymptomatic. Subsequently, the same fungus was reisolated and identified based on morphological and molecular traits. A. alternata has a very wide host range but has never been reported on A. lancea worldwide (nt.ars-grin.gov). Because of the medicinal value of A. lancea, further studies should be directed toward control of this disease.

Study on the Comprehensive Assessment and its Application of Environmental Pollution Governance Effect of Low-carbon Tourism Emissions from Energy Consumption in Jiangsu Province

Jiangsu Province is the first largest province in China for low-carbon tourism, set to explore the comprehensive assessment method of the effect of low-carbon tourism environmental pollution governance in Jiangsu Province and to promote the effective way of continuous improvement of low-carbon tourism in Jiangsu. This paper takes the effect of low-carbon tourism environmental pollution governance in Jiangsu Province as an overall comprehensive assessment object and utilizes the spatial ecological niche model as well as the basic statistical data of Jiangsu Province to carry out a comprehensive assessment study on the effect of low-carbon tourism environmental pollution governance in Jiangsu Province from 2013 to 2021. It is found that the comprehensive assessment coefficient of low-carbon tourism in Jiangsu Province rises from 0.8770 in 2013, with the environmental pollution governance effect of low-carbon tourism ranked at level II, to 0.9401 in 2021, with the corresponding environmental pollution governance effect of low-carbon tourism ranked at level I, which fully reflects the good trend of continuous growth of the environmental pollution governance effect of low-carbon tourism in Jiangsu Province. According to the specific assessment results, this paper further puts forward policy recommendations to promote the continuous improvement of the environmental pollution governance effect of low-carbon tourism in Jiangsu Province.

Analysis Of Current Situation, Risk Causes and Countermeasures of Real Estate Finance--Taking Jiangsu Province as An Example

The real estate industry is not only an important engine of economic growth, but also a cornerstone of social stability and personal life. As a major economic province in China, Jiangsu Province is rich in natural resources and has a strong economic base. It is an important demonstration area for China's modernization and comprehensive development and plays an important role in promoting China's economic growth, scientific and technological innovation and social progress. In the economic structure of Jiangsu Province, the real estate market occupies a pivotal position, which not only contributes greatly to the local financial income, but also has a far-reaching impact on employment, consumption, investment and other aspects. The development of the real estate market in Jiangsu Province has an important impact on the national real estate market, thus this paper takes Jiangsu Province as the research object, discusses the credit risk of the real estate industry in Jiangsu Province from the perspectives of its status quo, risk causes, etc., and then puts forward policy recommendations to promote the sustainable development of the real estate market in Jiangsu Province.

The Effect of Urban–Rural Fringe Landscape Environment Enhancement on the Settlement Intentions of Young Talents

As new urbanization and rural revitalization strategies are implemented, the relationship between urban and rural areas is rapidly changing. Accordingly, rural landscape design is becoming increasingly important for promoting rural development. Located at the intersection of urban and rural areas and offering unique geographic characteristics and developmental potential, urban–rural fringe villages offer a valuable setting for assessing how rural transformation and landscape improvement influence the settlement intentions of regional talents. Drawing upon the Landscape Affordance Theory and the Stimulus–Organism–Response Theory, this study develops a model to evaluate how enhancements in comfort, convenience, safety, and aesthetics within rural landscapes influence the perceptions of livability and settlement intentions of young rural talents. The research utilizes a survey of residents aged 16 to 45 in representative urban–rural fringe villages in Nanjing, Jiangsu Province, collecting 230 valid responses. Data analysis was performed using SPSS 26 and AMOS 28 to assess the impact of these landscape attributes on livability perceptions and settlement intentions. This study demonstrates that Perceived Convenience (PCV) and Perceived Aesthetics (PA) have significant positive effects on Design Satisfaction (DS) and Perceived Livability (PL). The research identifies the positive impacts of the four characteristics of rural landscape enhancement on PL, ranking them in order of influence: PCV &gt; PA &gt; Perceived Safety (PS) &gt; Perceived Comfort (PC). Similarly, the positive effects on DS are ranked as follows: PCV &gt; PA &gt; PC. PL is identified as having the strongest impact on Talents’ Intention to Stay (TIS), indicating that improving livability perceptions is crucial for enhancing both design satisfaction and settlement intentions. Our findings demonstrate that improvements to the convenience, comfort, aesthetics, and safety of the landscape environment can significantly affect the settlement intentions of young talents in rural areas. Through field research and empirical data validation, this study highlights the positive effect of enhancements in four key areas of landscape design on the perceived livability and settlement intentions of young talents in rural settings, offering clear guidance for rural planning and design initiatives.

Urban-rural differences in preferences for traditional Chinese medicine services among chronic disease patients: a discrete choice experiment

BackgroundWith the increasing prevalence of chronic diseases, the demand for medical services from chronic disease patients has become diversified and personalized. The advantages and role of traditional Chinese medicine in the prevention and treatment of chronic diseases gradually emerging. The preferences and willingness to pay for traditional Chinese medicine services (TCMS) among patients with chronic diseases, as well as any disparities between urban and rural patients, have not been examined in past studies.ObjectiveThis study aimed to investigate the preferences of chronic disease patients for TCMS, explore the value/importance that patients place on different treatment attributes, and evaluate whether there are urban-rural differences in their preferences and willingness to pay for TCMS.MethodsA total of 317 patients from Jiangsu Province, China participated in a discrete choice experiment that elicited the preferences for TCMS. The choice questions were constructed by six attributes: out-of-pocket (OOP) cost, institution, medical provider, treatment method, treatment duration, treatment efficacy. Mixed logit models were used to estimate the stated preference and marginal willingness to pay for each attribute.ResultsThe choice preferences of chronic disease patients for TCMS in this study were influenced by the four attributes: institution, treatment method, and treatment efficacy, and OOP cost. Improvements in treatment efficacy were the most concerning, followed by being treated in traditional Chinese medicine (TCM) hospital. Patients were willing to pay more to get better treatment outcomes. Compared with primary care institutions, patients were willing to pay more for treatment in TCM hospitals. The preferences for economic attribute (OOP cost) varied between urban and rural areas, and rural patients tended to favor scenarios that imposed a lower economic burden on them.ConclusionThe chronic disease patients’ preferences for TCMS were determined mainly by treatment efficacy but also by institution, treatment method and OOP cost. The urban-rural difference in preference identified in this study highlights that effective policy interventions should consider the characteristics of patients’ demand in different regions.

The mediating roles of academic self-efficacy and learning interest in the relationship between teaching style and math behavior engagement among junior high school students in China.

Teacher guidance can positively impact students' learning interest and mathematical behavior engagement. As a crucial part of classroom teaching, effective teaching styles play an indispensable role in middle school students' mathematical behavior engagement. This study addresses the gap in understanding how different teaching styles influence junior high school students' math behavior engagement in China, by examining the underexplored mediating roles of academic self-efficacy and learning interest in this relationship, which are critical yet often overlooked factors in fostering student engagement and improving educational outcomes in mathematics. Students from grades 7 to 9 in six middle schools in Jiangsu Province, China participated in the survey. The results indicate that: (1) academic self-efficacy mediates the relationship between effective teaching styles (humorous and lively style, rigorous and logical style, caring and sharing style) and mathematical behavior engagement among Chinese middle school students; (2) math learning interest mediates the relationship between effective teaching styles (humorous and lively style, rigorous and logical style, caring and sharing style, innovative and exploratory style) and mathematical behavior engagement among Chinese middle school students. Recommendations include encouraging teachers to adopt diverse teaching styles that foster both self-efficacy and interest.

Kilometer-Scale Precipitation Forecasting Utilizing Convolutional Neural Networks: A Case Study of Jiangsu’s Coastal Regions

High-resolution precipitation forecasts play a pivotal role in formulating comprehensive disaster prevention and mitigation plans. As spatial resolution enhances, striking a balance between computation, storage, and simulation accuracy becomes imperative to ensure optimal cost-effectiveness. Convolutional neural networks (CNNs), a cornerstone of deep learning, are examined in this study for their downscaling capabilities in precipitation simulation. During a precipitation event on 23 June 2022, in Jiangsu Province, China, distinct rain belts emerged in both southern and northern Jiangsu, precisely captured by a numerical model (the Weather Research and Forecasting, WRF) with a 3 km spatial resolution. Specifically, precipitation was prevalent in northern Jiangsu from 00:00 to 11:00 Beijing Time (BJT), transitioning to southern Jiangsu from 12:00 to 23:00 BJT on the same day. Upon dynamic downscaling, the model reproduced precipitation in these periods with an average error of 12.35 mm at 3 km and 12.48 mm at 1 km spatial resolutions. Employing CNN technology for statistical downscaling to a 1 km spatial resolution, samples from the initial period were utilized for training, while those from the subsequent period served for validation. Following dynamic downscaling, CNNs with four, five, six, and seven layers exhibited average errors of 8.86 mm, 8.93 mm, 9.71 mm, and 9.70 mm, respectively, accompanied by correlation coefficients of 0.550, 0.570, 0.574, and 0.578, respectively. This analysis indicates that for this precipitation event, a shallower CNN depth yields a lower average error and correlation coefficient, whereas a deeper architecture enhances the correlation coefficient. By employing deep network architectures, CNNs are capable of capturing nonlinear patterns and subtle local features from complex meteorological data, thereby providing more accurate predictions during the downscaling process. Leveraging faster computation and reduced storage requirements, machine learning has demonstrated immense potential in high-resolution forecasting research. There is significant scope for advancing technologies that integrate numerical models with machine learning to achieve higher-resolution numerical forecasts.

Practice and reflections on regional mutual recognition of clinical research ethics review——based on survey results from medical and health institutions in Jiangsu Province

With the continuous advancement of medical research, the number of multi-center clinical studies has been steadily increasing, bringing about significant challenges to ethical review. Improving the efficiency and quality of ethical review has become a necessity driven by national policies and the development of the industry. Mutual recognition of ethical reviews is one of the most effective ways to enhance the efficiency of ethical review in multi-center clinical trials. The promotion of mutual recognition of ethical reviews is both feasible and practically significant; however, progress has been less than ideal. Through conducting surveys, this study attempts to understand the status of mutual recognition of ethical reviews in Jiangsu Province, identify the reasons hindering the implementation of mutual recognition, and propose possible solutions. The results indicate that while most medical and health institutions are aware of the policies related to mutual recognition of ethical reviews, the majority remain in a wait-and-see attitude. Ensuring policy guarantees and the high quality and homogeneity of ethical review across institutions are considered necessary conditions for achieving mutual recognition of ethical reviews.