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

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

Hepatitis E virus (HEV) reinfection is prevalent among the population, posing a significant burden on prevention and control efforts. In this study, we conducted a comprehensive analysis of data from China's Disease Prevention and Control Information System's infectious disease surveillance system to identify the epidemiological characteristics, spatiotemporal clustering, and high-risk populations of HEV reinfection. From 2005 to 2023, HEV reinfection in Zhejiang Province exhibited a fluctuating trend, peaking in 2020, with a 3–5-year lag compared to the pattern of HEV incidence. The Cox model indicated that individuals aged 40–50 and females are at higher risk of reinfection. Spatial autocorrelation was observed in reinfection cases from 2011 to 2016, with high–high clustering areas concentrated in downtown Hangzhou. Additionally, spatiotemporal scanning revealed that the clustering of reinfection cases has shifted from Hangzhou to coastal areas in recent years. Our findings suggest that targeted prevention and control measures for HEV rein fection should be implemented based on the characteristics of high-risk populations and spatiotemporal clustering patterns. [ABSTRACT FROM AUTHOR]

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

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

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

It is important to understand the relationship between urbanization and geological disaster systems to develop sustainable management strategies for many cities in the world that are located in geologically active zones. This study explored the coupling coordination degree of urbanization and geological disasters in 11 cities in Zhejiang province, China, during 2010–2020. Based on the annual demographics and socioeconomic and geological disasters data from 2010 to 2020, we analyzed the spatiotemporal changes of the coupling coordination degree between urbanization and geological disaster systems for the 11 cities in Zhejiang province during the period 2010–2020 using the analytic hierarchy process (AHP) combined entropy-weight method to determine the weights of indexes, which were used as input into the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and coupling coordination degree model. The results indicated that the coupling coordination degree of most cities in Zhejiang province was positively correlated with time, reaching a peak in 2017, and the gap in coupling coordination was narrowing. From 2010 to 2020, the development stage of coupling coordination in Zhejiang province was mainly barely coordinated development. Moreover, the coupling coordination degree of North Zhejiang was the best, that of Central Zhejiang was second, and that of Southwest Zhejiang was the worst in terms of spatial pattern. [ABSTRACT FROM AUTHOR]

[Objective] Accurately forecasting energy demand and carbon emissions is the key to realize carbon peaking and neutrality. However, how to manipulate scenario measures to change the Environmental Kuznets Curve (EKC) inflection point, which signifies the timing of carbon peaking, remains a crucial research topic. As the forefront of China’s economy, it is of great guiding value for Zhejiang Province to explore its peak carbon dioxide emissions turning point and path. [Methods] This paper constructs a localized LEAP-Zhejiang model, designs baseline and comprehensive scenarios, and simulates energy consumption and greenhouse gas emissions in various sectors such as residential life, transportation, industry, agriculture, services, and energy conversion in Zhejiang Province from 2020 to 2050, and pays special attention to the impact of policies on the turning point of EKC. [Results] (1) Under the comprehensive scenario, the greenhouse gas emissions of Zhejiang Province will be greatly reduced during the forecast period compared with the baseline scenario, and will reach the peak in 2029. The emission intensity is significantly reduced to only 17.65% of the baseline scenario. This remarkable improvement is primarily attributed to the proactive transformation of the energy structure, successfully shifting from a coal and oil-dominated baseline scenario to an electricity-dominated comprehensive scenario. (2) The green energy sector sub-scenario emerges as the primary driving force for emissions reduction, delivering notable contributions through the green transformation of the energy structure. While the industrial sector remains a significant player in emissions reduction, its contribution rate is declining year by year. In contrast, the tertiary industry, particularly the transportation sector, is experiencing a steady increase in its energy-saving and emission-reduction contribution rate, showcasing a positive trend towards green transformation. (3) The popularization of new energy vehicles has been proved that it can effectively change the position of inflection point of EKC and achieve inflection point crossing, intuitively reflecting the positive effect of this measure in accelerating the arrival of carbon peaking in the province. [Conclusion] Zhejiang Province can adopt three major strategies to address climate change. Firstly, optimize the energy structure by increasing the proportion of renewable energy and constructing an intelligent energy system. Secondly, promote new energy vehicles by providing policy support and charging facilities to lead the way towards green transportation. Thirdly, enhance public environmental awareness, support carbon sequestration technologies, and encourage afforestation and low-carbon lifestyles.

ObjectiveTo explore the relationship between comorbidity and comorbidity pattern prevalence and mobility function among community-dwelling the elderly in Zhejiang province, and to provide a reference basis for the prevention and intervention of comorbidity prevalence in the elderly. MethodsFrom June to December 2022, a multi-stage random sampling method was used to select 7 776 community-dwelling the elderly aged ≥ 60 years old in Zhejiang province for a questionnaire survey. The relationship between comorbidity and comorbidity pattern prevalence and mobility function was analyzed among the 2 445 the elderly who were finally included and participated in the mobility function test. ResultsAmong the 2 445 community-dwelling the elderly in Zhejiang province, 1 250 had comorbidities, with a comorbidity prevalence rate of 51.12%; 533 had cardiovascular-metabolic comorbidity pattern, with a comorbidity prevalence rate of 21.80%; 323 had respiratory system comorbidity pattern, with a comorbidity prevalence rate of 13.20%; 143 had mental-sensory comorbidity pattern, with a comorbidity prevalence rate of 5.84%; and 258 had musculoskeletal joint comorbidity pattern, with a comorbidity prevalence rate of 10.55%. The completion time of the Timed Up and Go (TUG) test for community-dwelling the elderly in Zhejiang province ranged from 5.05 to 59.55 s, with a mean completion time of (11.21 ± 3.15) s; the completion time of the One-Leg Standing with Eyes Closed (OLS-EC) test ranged from 0 to 29 s, with a mean completion time of (3.72 ± 2.72) s; and the number of repetitions completed in the 30-second Chair Stand (CS-30) test ranged from 0 to 30, with a mean number of repetitions of (13.51 ± 3.79). After adjusting for confounding factors such as gender, age, education level, marital status, and place of residence, community-dwelling the elderly with comorbidities in Zhejiang province had longer TUG completion times (β = 0.51, 95%CI: 0.26 – 0.19), and fewer CS-30 repetitions (β = – 0.73, 95%CI: – 1.02 – – 0.45) compared to those without comorbidities; community-dwelling the elderly with cardiovascular-metabolic comorbidity pattern had longer TUG completion times (β = 0.59, 95%CI: 0.30 – 0.23), and fewer CS-30 repetitions (β = – 0.78, 95%CI: – 1.13 – – 0.43) compared to those without cardiovascular-metabolic comorbidities; community-dwelling the elderly with respiratory system comorbidity pattern had fewer CS-30 repetitions (β = – 1.34, 95%CI: – 2.61 – – 0.07) compared to those without respiratory system comorbidities; and community-dwelling the elderly with musculoskeletal joint comorbidity pattern had longer TUG completion times (β = 0.47, 95%CI: 0.08 – 0.02) compared to those without musculoskeletal joint comorbidities. ConclusionThe prevalence of comorbidities among community-dwelling the elderly in Zhejiang province was positively correlated with the risk of individual mobility function decline, and the impact of different comorbidity pattern prevalence on the mobility function of community-dwelling the elderly varies.

During a biodiversity survey conducted from February to April 2023 at the Wangdongyang Mountain Wetland Provincial Nature Reserve, Jingning, Lishui, Zhejiang, eight specimens belonging to Zhangixalus genus were collected (27°42′20. 11″ N, 119°37′12. 57″ E; altitude 1, 107. 5 m). Morphological examination indicated similarity to Z. taipeianus. Based on molecular phylogenetic analysis, the Zhangixalus species collected in this study formed a clade within the Z. taipeianus, with a genetic distance of 1. 2% from the Z. taipeianus of Taiwan based on the12S rRNA, tRNAval and 16S rRNA genes. Integrating both morphological and molecular phylogenetic results, the Zhangixalus species collected in this survey is described as a new subspecies of the Z. taipeianus: Zhangixalus taipeianus jingningensis Liu, Huang, Zhou and Wang, ssp. nov. [ABSTRACT FROM AUTHOR]

Objective: Thyroid disorders are prevalently diagnosed yet face significant challenges in their accurate identification in China. Predominantly, the reference intervals (RIs) currently in use across Chinese medical facilities derive from company-provided data, lacking stringent scientific validation. This practice underscores the urgent necessity for establishing tailored RIs for thyroid-related hormones, specifically tailored to the coastal area populations. Such refined RIs are imperative for empowering clinicians with the precise tools needed for the accurate diagnosis of both overt and subclinical thyroid conditions. Methods: This investigation analyzed the medical histories of 6021 euthyroid individuals mainly from East coastal area of China between June 2019 and December 2020. The cohort comprised residents of coastal areas, focusing on extracting insights into the regional specificity of thyroid hormone levels. A thorough examination protocol was implemented, encompassing inquiries into thyroid health history, ultrasound screenings, palpations during thyroid surgery, detections of thyroid antibodies, and reviews of medication histories. Adherence to the CLSI C28-A3 guidelines facilitated the derivation of RIs for thyroid-related hormones, subsequently juxtaposed against those provided by commercial entities. Results: The study delineated the following gender- and age-specific RIs for Thyroid-Stimulating Hormone (TSH): for males under 50 years, 0.57-3.37; males over 50 years, 0.51-4.03; females under 50 years, 0.53-3.91; and females over 50 years, 0.63-4.31. Further analysis revealed the RIs for Free Thyroxine (FT4), Free Triiodothyronine (FT3), Total Thyroxine (TT4), and Total Triiodothyronine (TT3) amongst males and females, with notable distinctions observed between the two genders and across age brackets. These findings are in stark contrast to the standardized intervals provided by manufacturers, particularly highlighting differences in TT3 and FT3 levels between genders and a tendency for TSH levels to increase with age. Conclusion: This research successfully establishes refined RIs for thyroid-related hormones within the Chinese coastal area populations, taking into account critical demographic factors such as gender and age. These tailored RIs are anticipated to significantly enhance the diagnostic accuracy for thyroid diseases, addressing the previously noted discrepancies with manufacturer-provided data and underscoring the importance of regionally and demographically adjusted reference intervals in clinical practice. [ABSTRACT FROM AUTHOR]

Taking the households of urban and rural residents in Zhejiang Province as the research object in 2020, an indicator system for rural development and urbanization is constructed from the four aspects of ecological environment, public services, grassroots governance and quality of life, using entropy method and Coupling Coordination Degree Model, Theil index and other methods to summarize the urban-rural development experience and problems of different counties and cities in Zhejiang Province, and explore the urban-rural coupling mode and implementation path. The results show that: ①Based on the analysis of different spatial scales, the urbanization and rural have regional imbalances in development, with obvious gradient changes from east to west and little difference between sub-regions. About 80% of the overall difference in urban-rural development in Zhejiang comes from differences within sub-regions, and another 60% comes from the internal differences between southwestern Zhejiang and southern Zhejiang. At the county level, the urbanization and rural development index presents a spatial pattern of "high in the northeast and low in the southwest". ②Based on the analysis of the degree of urban- rural coupling and coordination in Zhejiang Province, four urban-rural coupling modes are summarized: independent parallel coupling, urban-rural partial benefit interactive coupling, urban-rural symmetrical reciprocal coupling, and urban-rural integration symbiosis coupling. ③ Based on the rural revitalization strategy, the implementation path summarized from ecological livability, public services, grassroots governance and quality of life is characterized by ecological integration, green development, spatial integration, shared development, governance integration, good rural governance, factor integration, and common prosperity. [ABSTRACT FROM AUTHOR]

With the rise of the social innovation concept, social entrepreneurship, as a new entrepreneurial model, is of significant importance for solving social issues and promoting sustainable development. As an economically developed province in eastern China, the cultivation of college students in social entrepreneurship has become key to driving local social progress and innovation. This study employs qualitative research methods to analyze the key elements and intrinsic connections of social innovation and social entrepreneurship, to assess the current state of social entrepreneurship and talent cultivation in Zhejiang Province, and to explore the successful experiences of cultivating social entrepreneurship talent among college students both domestically and internationally. It proposes pathways and strategies for cultivating college students' innovative thinking, fostering a sense of social responsibility, and guiding a sustainable development perspective in social entrepreneurship, with the aim of providing references for educational practices and policy-making in Zhejiang Province. [ABSTRACT FROM AUTHOR]

This empirical study investigates the intricate relationship between the ecological environment and economic growth within the context of Zhejiang Province, China - a region characterised by its rapid urbanisation and significant economic development. By analysing data spanning from 2011 to 2020, the research applies the Environmental Kuznets Curve (EKC) model, which hypothesises an inverted U-shaped relationship between environmental degradation and economic growth, within both classical and Bayesian statistical frameworks to examine the province's per capita GDP. Findings from both statistical approaches reveal a distinct correlation between economic progression and environmental conditions, underscoring the Environmental Kuznets Curve hypothesis. Additionally, this study conducts a comparative analysis between Vector Autoregression (VAR) and Bayesian Vector Autoregression (BVAR) models to evaluate their predictive capabilities concerning the interplay between ecological health and economic advancement in Zhejiang. The BVAR model, with its incorporation of Bayesian statistics, demonstrates superior forecasting precision, providing valuable insights into the dynamics governing the relationship between economic growth and the ecological environment in Zhejiang Province. [ABSTRACT FROM AUTHOR]

Improving urban land use eco-efficiency (ULUEE) is of great significance for promoting high-quality economic development and promoting the modernization of harmonious coexistence between humans and nature. In this study, the super efficiency SBM model with undesirable output was used to measure the level of ULUEE at the county scale in Zhejiang province from 2006 to 2022. Based on this, the spatial-temporal evolution and spatial agglomeration characteristics were analyzed by using spatial analysis techniques, kernel density analysis, and spatial autocorrelation model. Finally, the driving mechanisms were revealed by using the geographical detector model and GWR model. The results were as follows: (1) From 2006 to 2022, the ULUEE of Zhejiang province rose from 0.34 to 0.73, with an average annual growth rate of 2.44%. The degree of efficiency differences between counties gradually converged. (2) The ULUEE at the county level exhibited a significant spatial positive correlation, with Moran’s I index increasing from 0.3219 to 0.3715. On the local scale, the cold spot significant area was mainly distributed in the north and south of Zhejiang province, and significant spatial and temporal variations were observed within the hot spot significant area. (3) The results of factor detection showed that altitude (X1), topographic relief (X2), and forest cover (X3) always played a strong role in affecting ULUEE. Among the socioeconomic factors, foreign trade (X8) had the strongest explanatory power in the early period, and GDP per capita (X5) and industrial structure (X6) played the strongest role in the later period. The explanatory power of all influencing factors decreased over time. (4) At the local scale, GDP per capita (X5), industrial structure (X6), and fiscal expenditure scale (X7) presented positive effects on ULUEE, and development vitality (X9) presented a negative effect. Future endeavors should encompass a multifaceted approach, which includes the facilitation of industrial modernization and the enhancement of external economic engagement. Concurrently, it is imperative to capitalize on the region’s inherent economic strengths and to foster a low-carbon, environmentally sustainable economic model.

Ecosystem degradation is a global problem that poses a significant threat to the sustainable development of human societies, particularly in developing countries, such as China. In response, China has implemented a series of ecological restoration (ER) policies over recent years. However, significant regional developmental disparities, pronounced spatial heterogeneity of ecological issues, and substantial historical debt for ER in China present considerable obstacles and financial burdens to the effective implementation of ER strategies. Delineating ER zones and assessing the ER benefits are essential for developing effective ER strategies and implementing ER projects. In this study, we constructed a comprehensive framework for ER utilizing the Driver-Pressure-State-Impact-Response (DPSIR) model, quantified the urbanization levels, ecological state, and restoration costs in Zhejiang Province to delineate ER zones, integrated the patch-generating land use simulation model with the ecosystem service value assessment method to quantify the benefits of ER, and ultimately developed tailored ER strategies. The results showed that: (1) The pattern of urbanization levels was characterized by high levels in the northeast and low levels in the southwest, which constrated with the ecological state. The areas of high restoration costs were located in the northeastern and southeastern regions, and the areas of low restoration costs were situated in the southwestern region. (2) The rate of construction land expansion is significantly curtailed under the ER scenario compared to the natural development scenario in 2035, while forest areas have seen effective protection and an increase from the levels of 2020. (3) The ER policy is projected to generate ecological benefits totaling CNY 8.23 billion by 2035, substantially reducing the rate of ecosystem degradation. (4) Zhejiang Province is divided into five zones at the county scale: ecological autonomous protection zone, ecological core protection zone, ecological priority restoration zone, ecological control zone, and moderate development zone. Strategies have been devised based on the forecasted benefits of ER, offering valuable insights into ecological management. These findings aim to enhance the understanding of ER and support the development and implementation of regional ecological policies.

Abstract Background Thyroid nodules have attracted much attention due to their high incidence and potential for malignant transformation. Compared with the clinical assessment and diagnosis of thyroid nodules, there are relatively few studies on the epidemiological risk factors for thyroid nodules. The aim of this study was to investigate the prevalence of thyroid nodule among adults in Zhejiang province and to explore their relationship with physiological and psychosocial factors. Methods The data used in this study were obtained from the baseline survey of the Zhejiang Provincial Cohort Study on Environment and Health. From June 2022 to December 2023, a total of 21,712 participants from five representative cities in Zhejiang were recruited for the baseline survey. Based on the inclusion and exclusion criteria, 15,595 adults were included in the analysis. The data were collected via self-report questionnaires and physical examinations. Multivariate logistic regression analysis was subsequently performed. Results The detection rate of thyroid nodules was 50.98% among adults in Zhejiang province. Age, gender, education level, BMI, tea and alcohol consumption all had a statistically significant association with thyroid nodules (p

Typhoon gales can lead to accidents such as the breakage and collapse of transmission line towers, affecting the operational safety of power systems. Therefore, the risk assessment of transmission line towers during typhoon disasters is important. Taking all transmission towers in Zhejiang Province as an example, a typhoon disaster vulnerability assessment model for transmission line towers based on "excess loss" for both continuous and discrete variables was proposed based on tower attributes, geographical information, and typhoon disaster data. Utilizing the reanalysis data of typhoon parameters and wind fields from the past 68 years, a typhoon gale hazard assessment model was established based on the extreme value theory, and the statistical parameters of wind speed intensity under typical scenarios were analyzed. Furthermore, based on the regional disaster system theory and through a coupling analysis between typhoon gales and tower vulnerability, a risk assessment model for typhoon transmission line towers was developed. The results indicate the following: (1) the hazard of typhoon gales decreases from southeast to northwest, with differentiated distributions due to the local terrain and other factors. As the return period increased, a nonlinear increasing trend was observed. Taking the maximum wind speeds with a return period of 20 years and 100 years as examples, the wind speed intensities across Zhejiang Province range from 23.5-50.9 m/s and 32.6-68.9 m/s, respectively. Therefore, different wind resistance strategies should be adopted based on specific prevention requirements. Notably, the typhoon parameter wind field model used in this study had certain errors compared to the actual measured wind speeds. Therefore, in practical applications, particularly in complex terrain areas, it is necessary to combine local observational data for model calibration and application. (2) The comprehensive vulnerability of towers under the influence of typhoons generally exhibits a distribution pattern that is high in the south and low in the north, which is closely related to the terrain. Regions with high vulnerability (>1) were mainly located in central and southern Zhejiang and the coastal areas. Moderate vulnerability (0.5-1) is distributed in the Jinqu Basin and the offshore areas from Taizhou to Ningbo. The northeastern plain of Zhejiang had a relatively low tower vulnerability (

Based on the existing research results, the evaluation index system of marine economy and regional economic development of Zhejiang Province was established. The relevant data of marine economy and regional economy of Zhejiang Province from 2011 to 2020 were taken as the research objects, and the comprehensive weight and comprehensive evaluation score were calculated using AHP and entropy method. The degree of coordination between marine economy and regional economy development and the main limiting factors were analyzed by coupling coordination degree model and obstacle degree model. The results show that the overall change trend of the comprehensive evaluation scores of marine economy and regional economy subsystems is consistent, and the comprehensive development level of marine economy is better than that of regional economy. The coupling level between subsystems is generally high, and the coordination level is constantly improved, but the coordination degree is not high. The key factors affecting the coordinated development of marine economy and regional economic system are the proportion of marine research and development (R&D) expenditure to the gross marine product, the proportion of R&D expenditure in GDP, the proportion of marine tertiary industry to marine secondary industry, the proportion of regional GDP to national GDP, the number of patents granted and the growth rate of added value of marine tertiary industry. Based on this, relevant policy suggestions are put forward to provide guidance for the high-quality marine economy of Zhejiang Province to promote regional development.

Background: Thyroid nodules have attracted much attention due to their high incidence and potential for malignant transformation. Compared with the clinical assessment and diagnosis of thyroid nodules, there are relatively few studies on the epidemiological risk factors for thyroid nodules. The aim of this study was to investigate the prevalence of thyroid nodule among adults in Zhejiang province and to explore their relationship with physiological and psychosocial factors. Methods: The data used in this study were obtained from the baseline survey of the Zhejiang Provincial Cohort Study on Environment and Health. From June 2022 to December 2023, a total of 21,712 participants from five representative cities in Zhejiang were recruited for the baseline survey. Based on the inclusion and exclusion criteria, 15,595 adults were included in the analysis. The data were collected via self-report questionnaires and physical examinations. Multivariate logistic regression analysis was subsequently performed. Results: The detection rate of thyroid nodules was 50.98% among adults in Zhejiang province. Age, gender, education level, BMI, tea and alcohol consumption all had a statistically significant association with thyroid nodules (p < 0.05). After adjusting for sociodemographic factors, results of logistic regression analysis showed that good life satisfaction (OR = 0.854, 95% CI: 0.780–0.934) had a lower risk of thyroid nodules, however, poor life satisfaction (OR = 1.406, 95% CI: 1.014–1.951), social isolation (OR = 1.294, 95% CI: 1.089–1.538) and a family history of thyroid nodules (OR = 1.334, 95% CI: 1.064–1.672) had a greater risk of thyroid nodules. Conclusion: The detection rate of thyroid nodules in adults of Zhejiang province was an increasing trend compared with that in previous years. In addition to the sensitive thyroid nodule screening technology, influencing factors mentioned in this study might also represent credible candidates for this increase. As variable influence factors, weight management, good interpersonal relationships and life satisfaction should be the focus of health interventions. [ABSTRACT FROM AUTHOR]

Nongchuangke refers to a new group of professional farmers that promotes agricultural innovation and sustainable development. Here, a comprehensive evaluation system for the livelihood-resilience index of the Nongchuangke in Zhejiang Province was constructed using three parameters: the buffer, self-organization, and learning capacities of the Nongchuangke. The entropy method was employed to comprehensively evaluate the livelihood resilience level of the Nongchuanke in Zhejiang Province, and a decision-making trail and evaluation laboratory with interpretive structural modeling was employed to clarify the hierarchical relationships among the limiting factors of the livelihood resilience of the Nongchuangke in Zhejiang Province and identify the key limiting factors. The results revealed that the average livelihood resilience level of the Nongchuangke in Zhejiang Province was low. Furthermore, the policy support, attraction of entrepreneurial investment, information-acquisition ability, and the number of Nongchuangke per 10,000 farmers were identified as the key factors influencing the livelihood resilience level of Nongchuangke in Zhejiang Province. Thus, new approaches that improve the identified influencing factors must be considered and implemented to improve the livelihood resilience level of the Nongchuangke. [ABSTRACT FROM AUTHOR]

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

Land resource has been the most important assets in rural areas. Among them, the relationship between human activities and land in rural areas has been one of the most important influencing factors for land conservation and intensive utilization, urban-rural integration, rural revitalization and common prosperity. This study aims to explore the land use and land cover remote sensing monitoring dataset (CNLUCC) and population data. Five-period monitoring data of land use was taken from Zhejiang Province, China from 2000 to 2020. Firstly, the land-use dynamics were used to characterize the change degree of rural settlements during the study period. Secondly, the land use transfer matrix between rural settlements and land types was constructed to identify the transfer direction and stage features of rural settlements using the geologic map. The intensive utilization of rural settlements per capita was taken as the baseline to evaluate the coordination between human activities and land source. Furthermore, the "differentiation + consistency" was adopted to combine with the per capita construction land area standard of villages. Finally, the decoupling model was used to analyze the evolution of the decoupling type and the humanland coupling relationship between rural settlements and population. As such, the specific development strategy of zoning was proposed to coordinate the relationship between human activities and land. The results showed that: 1) The rural settlements were concentrated mainly in the plain area of the northern, the hilly basin area of the central and the coastal area of the southeast, indicating a pattern of multi-regional concentration and global dispersion. In terms of time, the rural settlements were continued to expand from 2000 to 2015, and then was shrunk from 2015 to 2020. In order to adjust the structure of rural residential land, cultivated land was the main transfer-in source, whereas, the urban and cultivated land were the main transferout sources. 2) The per capita rural settlement area showed a continuous upward trend in the time series. The spatial pattern showed the significant spatial agglomeration. Specifically, the high-value areas were concentrated in the northern Plain, whereas, the low-value areas were in the southwestern mountainous areas. The per capita rural settlement area was ever rising in various regions, particularly with the economic development and urbanization. But the large base of the plain area was aggravated the imbalance between human activities and land. While the small base of the hilly and mountainous areas were relatively coordinated in the relationship between human activities and land. 3) The decoupling relationship between rural population and rural settlements at the county level was mainly dominated by strong negative decoupling, that is, the regional rural population declined, while the area of rural settlements was maintained an upward trend. The number of counties with strong negative decoupling relationship decreased from 2000 to 2020, but there was the still serious imbalance of rural humanland coupling relationship. The findings are of great significance to regulate the relationship between human activities and land, in order to promote the effective allocation and efficient utilization of rural land resources. [ABSTRACT FROM AUTHOR]

Exploring the spatial distribution and type characteristics of traditional villages is crucial for promoting their protection and sustainable development. This article used the average nearest neighbor index, imbalance index, kernel density, standard deviation ellipse, and cluster analysis to analyze the overall distribution characteristics of traditional villages in Zhejiang Province and completed the classification of traditional village types and distribution areas in Zhejiang Province. The results indicate that traditional villages in Zhejiang Province exhibit a clustered and unbalanced distribution in space. They tend to be located below an altitude of 200 m, within 500 m of the river system, with terrain undulations of 20–200 m, 10–30 km away from county-level administrative centers, and 0–3 km away from main roads but with sparse road networks. Based on the comprehensive influence of geographical elements in the geographical environment of traditional villages, traditional villages in Zhejiang Province can be divided into five types. Based on the spatial distribution and type characteristics of traditional villages in Zhejiang Province, distribution areas of traditional villages in Zhejiang Province can be divided into six types. Finally, corresponding protection and development suggestions were proposed. These results can enrich the research content of traditional villages in Zhejiang Province and provide theoretical support for the protection and sustainable development of traditional villages. [ABSTRACT FROM AUTHOR]

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

A new catfish species, Liobagrus chenhaojuni Chen, Guo & Wu, sp. nov., is described from the Tiaoxi River, a tributary of Taihu Lake, located in Zhejiang Province, China. This description is based on morphological characteristics and phylogenetic analysis. This species belongs to a group defined by the presence of a smooth posterior edge of the pectoral-fin spine and can be distinguished from other species in the group by a unique combination of characteristics, including: an upper jaw longer than the lower jaw; maxillary barbels reaching the middle of the pectoral fin; irregular blotches present on the lateral body; a rounded caudal-fin with a length ranging from 16.5% to 19.9% of the standard length; 39 to 41 post-Weberian vertebrae; and 15 to 17 anal-fin rays. The validity of this new species is further supported by the molecular phylogenetic analysis based on Cytb sequences. [ABSTRACT FROM AUTHOR]

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

Abstract Background China has piloted Long-Term Care Insurance (LTCI) to address increasing care demand. However, many cities neglected adjusting LTCI premiums since the pilot, risking the long-term sustainability of LTCI. Therefore, using Zhejiang Province as a case, this study simulated mortality-adjusted long-term care demand and the balance of LTCI funds through dynamic financing mechanism under diverse life expectancy and disability scenarios. Methods Three-parameter log-quadratic model was used to estimate the mortality from 1990 to 2020. Mortality with predicted interval from 2020 to 2080 was projected by Lee-Carter method extended with rotation. Cohort-component projection model was used to simulate the number of older population with different degrees of disability. Disability data of the older people is sourced from China Health and Retirement Longitudinal Study 2018. The balance of LTCI fund was simulated by dynamic financing actuarial model. Results Life expectancy of Zhejiang for male (female) is from 80.46 (84.66) years in 2020 to 89.39 [86.61, 91.74] (91.24 [88.90, 93.25]) years in 2080. The number of long-term care demand with severe disability in Zhejiang demonstrates an increasing trend from 285 [276, 295] thousand in 2023 to 1027 [634, 1657] thousand in 2080 under predicted mean of life expectancy. LTCI fund in Zhejiang will become accumulated surplus from 2024 to 2080 when annual premium growth rate is 5.25% [4.20%, 6.25%] under various disability scenarios, which is much higher than the annual growth of unit cost of long-term care services (2.25%). The accumulated balance of LTCI fund is sensitive with life expectancy. Conclusions Dynamic growth of LTCI premium is essential in dealing with current deficit around 2050 and realizing Zhejiang’s LTCI sustainability in the long-run. The importance of dynamic monitoring disability and mortality information is emphasized to respond immediately to the increase of premiums. LTCI should strike a balance between expanding coverage and controlling financing scale. This study provides implications for developing countries to establish or pilot LTCI schemes.

ObjectiveTo understand the prevalence and influencing factors of overweight and obesity among primary and secondary school students in Zhejiang province for developing relevant intervention measures. MethodsAs a part of "Student Nutrition Improvement Program", on site questionnaire survey and physical examinations were conducted during September – December 2021 among 5 593 primary school students (grade III and above) and secondary school students (grade III and below) recruited using a stratified cluster random sampling at 5 counties/prefectures/districts of Zhejiang province. Overweight and obesity were determined according to the standard of 'Screening for Overweight and Obesity in School-age Children and Adolescents (WS/T 586 – 2018)' issued by National Health and Family Planning Commission. Logistic regression analysis was used to analyze influencing factors of overweight and obesity. ResultsOf the 5 220 students surveyed effectively, 15.10% (788) and 12.32% (643) were assessed as being with overweight and obesity; the overweight and obesity prevalence rate (17.69% and 14.89%) of the boy students were significantly higher than those (12.22% and 9.48%) of the girl students (χ2 = 42.604 and χ2 = 47.399; both P < 0.001). There were no significant differences in frequencies of having breakfast and meat consumption, and in the frequency and amount of legume and fruit among the students with different body weight (all P > 0.05); however, there was a statistically significant difference in the amount of meat consumed each time (χ2 = 37.154, P < 0.001). The logistic regression analysis results showed that being male, consuming a high amount of meat each time, and having a high frequency of beverage consumption per week were common risk factors for overweight and obesity. Younger age, insufficient sleep, and consuming multiple types of vegetables per day were risk factors for obesity. ConclusionThe overweight and obesity were prevalent among primary and secondary school students in Zhejiang province, especially among young boys. Limiting total energy intake, consuming moderate amounts of meat, reducing the frequency of beverage consumption, and ensuring adequate sleep should be promoted for controlling overweight and obesity among the students.

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

Background: China has piloted Long-Term Care Insurance (LTCI) to address increasing care demand. However, many cities neglected adjusting LTCI premiums since the pilot, risking the long-term sustainability of LTCI. Therefore, using Zhejiang Province as a case, this study simulated mortality-adjusted long-term care demand and the balance of LTCI funds through dynamic financing mechanism under diverse life expectancy and disability scenarios. Methods: Three-parameter log-quadratic model was used to estimate the mortality from 1990 to 2020. Mortality with predicted interval from 2020 to 2080 was projected by Lee-Carter method extended with rotation. Cohort-component projection model was used to simulate the number of older population with different degrees of disability. Disability data of the older people is sourced from China Health and Retirement Longitudinal Study 2018. The balance of LTCI fund was simulated by dynamic financing actuarial model. Results: Life expectancy of Zhejiang for male (female) is from 80.46 (84.66) years in 2020 to 89.39 [86.61, 91.74] (91.24 [88.90, 93.25]) years in 2080. The number of long-term care demand with severe disability in Zhejiang demonstrates an increasing trend from 285 [276, 295] thousand in 2023 to 1027 [634, 1657] thousand in 2080 under predicted mean of life expectancy. LTCI fund in Zhejiang will become accumulated surplus from 2024 to 2080 when annual premium growth rate is 5.25% [4.20%, 6.25%] under various disability scenarios, which is much higher than the annual growth of unit cost of long-term care services (2.25%). The accumulated balance of LTCI fund is sensitive with life expectancy. Conclusions: Dynamic growth of LTCI premium is essential in dealing with current deficit around 2050 and realizing Zhejiang's LTCI sustainability in the long-run. The importance of dynamic monitoring disability and mortality information is emphasized to respond immediately to the increase of premiums. LTCI should strike a balance between expanding coverage and controlling financing scale. This study provides implications for developing countries to establish or pilot LTCI schemes. [ABSTRACT FROM AUTHOR]

In order to understand the present situation of germplasm resources of different Cuora flavomarginata in Zhejiang Province, the genetic diversity and genetic structure of eight C. flavomarginata populations from wild and breeding farms in Zhejiang Province were compared based on mitochondrial DNA COI sequence. The results showed that the se⁃ quence length of COI gene of C. flavomarginata was 1，040 bp, and the average base content was A=27. 4%、T=30. 5%、C= 24. 6%、G=17. 5%, with strong AT preference. Nine haplotypes were identified in the eight populations, and the haplotype diversity (Hd) was (0. 79900±0. 21000), and the nucleotide diversity (Pi) was (0. 00209±0. 00147), showing“ high Hd and low Pi” genetic distribution. The genetic distance between different populations ranged from 0 to 0. 003. The genetic distance within populations was between 0 and 0. 004, among which the genetic distance within Pan’an Houge Village (YS) population was the largest, which was 0. 004. The haplotype phylogenetic tree did not show obvious pedigree structure. The genetic differentiation index (FST) interval was from -0. 34752 to 0. 82222, and the genetic differentiation was not significant (p>0. 05) in eight populations. Tajima’s D and Fu’s FS test values were either positive (Tajima’s D=-0. 36627, Fu’s FS=-0. 605), but statistically insignificant. The distribution of nucleotide mismatches indicated that the population of the C. flavomarginata in Zhejiang Province did not experience a population expansion event. Mantel test showed that there was no significant correlation between genetic distance and geographical distance (R=0. 2938，p>0. 05). AMOVA analysis found that the genetic variation within populations was higher than that between populations (85. 06%>14. 94%). The results showed that the populations of C. flavomarginata in Zhejiang Province are characterized by high haplotype diversity and low nucleic acid genetic diversity, and there was a certain level of genetic differentiation, and there was obvious gene exchange among the populations. The wild C. flavomarginata obtained in Pan’an County was identified as Zhejiang species according to COI gene analysis. Moreover, it was also found that there were hybrids between Zhejiang species and Anhui species. It is suggested that the C. flavomarginata populations with different degrees of differentiation should be divided into different units for protection. This study uses genetic diversity analysis to provide a basis for the development and utilization of C. flavomarginata germplasm resources in Zhejiang Province and the formulation of reasonable protection measures. [ABSTRACT FROM AUTHOR]

Nickel (Ni) is a silver-white metal with high antioxidative properties, often existing in a bivalent form in the environment. Despite being the fifth most abundant metal on Earth, anthropogenic activities, including industrial processes, have elevated Ni levels in environmental media. This study investigated Ni contamination in various food groups in Zhejiang Province, China, mainly focusing on Ni levels in beans, vegetables, aquatic foods, meat products, cereal products, and fruits. A total of 2628 samples were collected and analyzed. Beans exhibited the highest Ni content in all samples. The overall detection rate of Ni was 86.5%, with variation among food categories. For plant-origin foods, legumes had the highest Ni concentration while for animal-origin foods, shellfish showed the highest median Ni concentration. The results indicate generally acceptable Ni exposure levels among Zhejiang residents, except for children aged 0–6. Beans were identified as the primary contributor to high Ni exposure risk. The paper suggests monitoring Ni contamination in food, especially for vulnerable populations, and provides insights into exposure risks in different age groups. [ABSTRACT FROM AUTHOR]

Based on China's multiregional input–output (MRIO) tables from 2002 to 2015, this study estimates virtual water trade (VWT) between Zhejiang and 29 other municipalities, provinces, and autonomous regions in China with a quantitative analysis of the spatial–temporal patterns and the driving forces of VWT in Zhejiang from the short-distance and the long-distance perspectives. The result shows that Zhejiang turns from supplier to consumer in short-distance VWT during 2002–2015. VW import mainly comes from Jiangsu, Anhui, and Jiangxi, while Shanghai is the most important region for short-distance VW export. Secondary industry is the dominant industry in short-distance VW export. Moreover, short-distance VW import is gradually transferred from primary industry to secondary industry. Meanwhile, Zhejiang always acts as a VW consumer in long-distance VWT transportation. Xinjiang and Heilongjiang are the main import regions, while Guangdong and Henan are the main export regions. Primary industry accounts for the largest share of VW long-distance import. VW long-distance export is dominated by secondary industry. In addition, the influence of GDP per capita (PGDP), urbanization level (UL), and urban population (UP) on VWT is positive. The influence of external dependence of water resources (EDW), water use efficiency (WUE), and industrial structure (IS) is negative. Both short-distance and long-distance VW imports are dominated by EDW. UL and PGDP are the main drivers of short-distance and long-distance VW exports. In order to increase the capacity of water resources allocation and to improve the benefits of water resources utilization, virtual water strategy (VWS) should be implemented with differentiated measures based on the comparative advantages of short-distance and long-distance VWTs in Zhejiang. [ABSTRACT FROM AUTHOR]

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

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

ObjectiveTo examine the coverage and influencing factors of influenza and pneumococcal vaccines among urban and rural residents aged ≥ 50 years in Zhejiang province for promoting the vaccination of the two vaccines in the population. MethodsA face-to-face interview with a self-designed questionnaire was conducted during June of 2022 among 2 200 residents aged 50 years above recruited in 35 communities/villages of 7 districts/counties, Zhejiang province. The coverage of influenza and pneumococcal vaccination were statistically described and unconditional multivariate logistic regression model was used to analyze main influencing factors of influenza and pneumococcal vaccination. ResultsOf the 2100 residents ultimately included in the analysis, 776 (36.95%) and 116 (5.52%) reported having influenza vaccination in past one year and pneumococcal vaccination in past five years, respectively. The results of unconditional multivariate logistic regression analysis showed that the residents having the education of high school and above, with influenza vaccine-related awareness, being able to have free of charge vaccination, and ever receiving doctor’s relevant recommendation were more likely to have influenza vaccination and that the residents being able to have pneumococcal vaccination free of charge and ever receiving doctor’s relevant recommendation were more likely to have pneumococcal vaccination. The vaccinees of influenza and pneumococcal vaccine reported following similar vaccination motivations: receiving vaccination notification from community health centers (reported by 590 [76.03%] and 85 [73.28%] of the vaccinees), being promoted by suggestions of family members (400 [51.55%] and 67 [57.76%]), and self-intention to prevent the diseases (350 [45.49%] and 51 [43.97%]); while, the non-vaccinees of influenza and pneumococcal vaccine also reported similar reasons for not having the vaccinations, including without knowledge about influenza or pneumococcal vaccine (reported by 816 [61.63%] and 1 334 [63.52%] of the non-vaccinees), being worried about side effects of the vaccine (321 [24.24%] and 442 [22.28%]), and not perceiving vaccination necessity (296 [22.36%] and 472 [22.48%]). ConclusionThe vaccination rate of influenza and pneumococcal vaccine are relatively low and mainly influenced by the accessibility of vaccinations free of charge and recommendation on the vaccinations from medical professionals among residents aged ≥ 50 in Zhejiang province.

ObjectiveTo study social support and its influencing factors among grassroots medical staff in Zhejiang province for developing relevant interventions. MethodsAn online anonymous questionnaire survey was conducted among 2 122 conveniently recruited frontline medical staff in community health centers/township hospitals in 11 prefectures across Zhejiang province from December 2022 to January 2023. The Social Support Scale (SSRS) developed by Chinese researchers was used in the survey. Multivariate linear regression was adopted to analyze influencing factors of social support in the participants. ResultsFor the 1 803 participants with valid responses, the total score of social support was 40.17 ± 8.49, with the subjective support score of 23.18 ± 5.34, objective support score of 9.48 ± 3.09, and social support utilization score of 7.51 ± 1.98. Multivariate linear regression analysis showed that for the grassroots medical personnel, work years, daily sleep time, annual income, and marital status were significant influencing factors of general, subjective, and objective social support (all P < 0.05) and gender, daily sleep time, annual income, and marital status were significant factors affecting the utilization of social support (P < 0.05 for all). ConclusionThe perceived social support is generally good but the support is not effectively utilized among grassroots medical staff in Zhejiang province. Special attention should be paid to the social support for the staff having been working for 3 – 15 years, being unmarried, having daily sleep time of less than 7 hours, and with an annual income of less than 100 000 Chinese Yuan and to the utilization of social support in the male staff.

In order to explore the pollution status of main mariculture areas in Zhejiang Province, this paper made a preliminary assessment of the pollution generated by mariculture activities in Zhejiang Province, by using the data of the fishery Statistics of Zhejiang Province from 2005 to 2021 and Manual for the First National Survey of Pollution Sources Production and Discharge Coefficient of Aquaculture Pollution Sources. And different kinds of pollutants were converted to equal-standard pollution loading. Meanwhile, an analysis of spatio-temporal evolution of equal-standard pollution loading and mariculture yield of major coastal cities in Zhejiang Province was conducted. The results showed that, the cumulative equal-standard pollution loading of mariculture in Zhejiang Province from 2005 to 2021 exceeded 700 000×104 m3/a, and revealed a trend of wavelike rise first and continuously rise after. Equal-standard pollution loading the highest is the highest in Ningbo with the cumulative volume of 271 769.2×104 m3/a. followed by Taizhou, Zhoushan and Wenzhou. From the perspective of mariculture species, shellfish produced the highest equal-standard pollution loading. And from the perspective of mariculture mode, raft cultivation and bottom sowing produce the highest equal-standard pollution loading. Spatio-temporal evolution analysis showed that, the changes of pollution and mariculture yield in Zhejiang were basically synchronized, and the equal-standard pollution loading and mariculture yield showed obvious growth trend.

In order to provide reference for solving the problems of agricultural water shortage and water environment pollution in Zhejiang, an agricultural water use efficiency index was constructed, and an ultra-efficiency SBM model was used to measure the agricultural water use efficiency in Zhejiang Province from 2010 to 2020. The kernel density estimation method was used to analyze the spatio-temporal evolution law of agricultural water use efficiency. Finally, the main influencing factors of agricultural water use efficiency were analyzed using a geographical detector. The agricultural water use efficiency in Zhejiang Province increased from 1.153 in 2010 to 1.661 in 2020, with an average annual growth of 3.71% and an average of 1.535 in recent years, which is always in a state of effective utilization. Over the years, the overall trend of fluctuation rose, stability was strong, and the influence of pure technical efficiency was great. Although the agricultural water use efficiency in northern Zhejiang is higher than that in southern Zhejiang, the regional differences are decreasing. Economic development level, the government′ s emphasis on agricultural water use, agricultural planting structure, and water resource abundance were the main factors influencing the spatial differentiation of agricultural water use efficiency in Zhejiang Province. At the same time, the spatial variation of agricultural water use efficiency is not the result of a single factor, but of the nonlinear enhancement under joint action of many factors. Therefore, Zhejiang Province needs to further promote the efficiency of agricultural water use by improving farmers′ income level, increasing agricultural financial investment, promoting water-saving irrigation technology, and improving farmers′ consciousness of water-saving. [ABSTRACT FROM AUTHOR]