Urumqi Research Articles

Study on the complex relationship of tourism-economy-ecological environment in arid zones: the case of Xinjiang, China

The synergistic integration of tourism, the economy, and the ecological environment within a region is crucial for promoting its sustainable development. Tourism acts as a catalyst for green economic growth, yet varying levels of tourism development can intensify the strain on the ecological environment. Thus, achieving a Pareto optimal balance among the benefits of these three entities holds significant theoretical and practical relevance. This research utilizes statistical data spanning from 2000 to 2021 to devise a tourism-economy-ecological environment (TEE) indicator system for Xinjiang. The study employs a coupled coordination model to analyze the spatial and temporal coupling dynamics between subsystems and to classify the types of coupled coordination. The analysis also identifies obstacles that impede the degree of coordination. The findings indicate that during the period under investigation, the TEE system in Xinjiang experienced consistent growth. However, the tourism subsystem exhibited disparate development and pronounced resource monopolization, which stimulated the economic subsystem’s growth, albeit with noticeable developmental lags in the latter stages. Spatially, economic performance demonstrated a declining trend from core urban centers like Urumqi City and Karamay City towards peripheral areas. From an ecological perspective, the distribution of resources exhibited a heterogeneous “M-V-W” pattern, characterized by significant disparities in the availability of natural resources and the occurrence of localized ecological deterioration. There is a notable and increasing degree of coupled coordination in regional synergistic development, which is primarily manifested in the delayed development of tourism. The combined development of the three subsystems is influenced by some factors, including environmental pollution, resources, economic quality, and industrial structure. Soot emissions, green space per capita in parks, and sulfur dioxide emissions are identified as key constraints. This study provides theoretical backing and empirical evidence for economic growth, the optimization of industrial structure, and the preservation of the ecological environment in arid and semi-arid regions globally.

Urban growth simulation and scenario projection for the arid regions using heuristic cellular automata

Arid regions tend to form compact urban patterns that have significant implications on urban growth and future urban patterns. Spatial simulation and projection using cellular automata (CA)-based models are important for achieving sustainable urban development in arid regions. In response to this need, we developed a new CA model (GSA-CA) using the gravitational search algorithm (GSA) to capture and project urban growth patterns in arid regions. We calibrated the GSA-CA model for the arid city of Urumqi in Northwest China from 2000 to 2010, and validated the model from 2010 to 2020, and then applied to project urban growth in 2040. The results indicated that the optimal performance of the model was achieved when the fraction of the population was 0.5. GSA-CA achieved an overall accuracy of 98.42% and a figure of merit (FOM) of 43.03% for the year 2010, and an overall accuracy of 98.52% with FOM of 37.64% for 2020. The results of the study help to adjust urban planning and development policies. The developed model has the potential to be employed in simulating urban growth and future scenarios in arid regions globally, including Northwest China and Africa.

КЫТАЙ КЫРГЫЗ АКЫНДАРЫНЫН АЛГАЧКЫ ЫРЛАР ЖЫЙНАГЫ

The actuality of the article differs from the fact that it focuses on the creative workshop of 22 poets-writers included in the collection of poems "Kerme Too", which gave a message of Chinese Kyrgyz literature in Kyrgyzstan in the 60s, and reviews their issues, ideological- artistic features, and thematic directions in a consistent and chronological direction. The said collection was prepared for publication in the city of Urumqi by the Xinjiang People's Press in 1962 on behalf of the Xinjiang Uyghur Autonomous District Branch of the Jungo Writers' Society. Before the establishment of the "Shinjan People's Press" in the late 1950s, local Kyrgyz published in Uyghur and Kazakh languages, and only in the early 1960s when publishing houses in their native language were established, it was first recognized by readers as a collection of poems, and during the 1960s, it informed the poetry of Kyrgyz literature. For the purpose of the study, we will focus on the life and creative pursuits of 22 poets and writers, observe the different characteristics of each of them, the artistic values that attract the readers in the lines corresponding to the poem, the shortcomings and successes encountered, and we will talk about the representatives who first contributed to Kyrgyz poetry as a collection. As a methodological guide, the creative ways of poets-writers, their poems of different content, and theoretical works were included in the collection of poems "Kerme Too". For this purpose, the results of the review will provide literary researchers in Kyrgyzstan with consistent information about the period of Kyrgyz literature in China in the 60s, including the period when poetry was first formed.

Expression and Functional Analysis of Two Cytochrome P450 Monooxygenase Genes and a UDP-Glycosyltransferase Gene Linked with Thiamethoxam Resistance in the Colorado Potato Beetle.

Cytochrome P450 monooxygenases (P450s) and UDP-glycosyltransferases (UGTs) are involved in the evolution of insecticide resistance. Leptinotarsa decemlineata (Say), the Colorado potato beetle (CPB), is a notorious insect that has developed resistance to various insecticides including neonicotinoids. This study investigated whether the differentially expressed P450 genes CYP9Z140 and CYP9AY1 and UGT gene UGT321AP1, found in our transcriptome results, conferred resistance to thiamethoxam in L. decemlineata. Resistance monitoring showed that the sampled field populations of L. decemlineata adults collected from Urumqi City and Qapqal, Jimsar, and Mulei Counties of Xinjiang in 2021-2023 developed low levels of resistance to thiamethoxam with resistance ratios ranging from 6.66- to 9.52-fold. Expression analyses indicated that CYP9Z140, CYP9AY1, and UGT321AP1 were significantly upregulated in thiamethoxam-resistant populations compared with susceptible populations. The expression of all three genes also increased significantly after thiamethoxam treatment compared with the control. Spatiotemporal expression patterns showed that the highest expression of CYP9Z140 and CYP9AY1 occurred in pupae and the midgut, whereas UGT321AP1 was highly expressed in adults and Malpighian tubules. Knocking down all three genes individually or simultaneously using RNA interference increased the sensitivity of adult L. decemlineata to thiamethoxam. These results suggest that overexpression of CYP9Z140, CYP9AY1, and UGT321AP1 contributes to the development of thiamethoxam resistance in L. decemlineata and provides a scientific basis for improving new resistance management of CPB.

Spatial-temporal evolution and influencing factors of green urbanization in the Northern Slope Economic Belt of Tianshan Mountains, China

Green urbanization (GU) is an urban sustainable development model. However, the conceptual definition of GU has not been clearly unified and there is limited quantitative research on it. This study constructed a theoretical framework and evaluation system of GU for the Northern Slope Economic Belt of Tianshan Mountains (NSEBTM). By using entropy weight TOPSIS model, contribution analysis and fixed effects panel model, we studied the spatial-temporal evolution and influencing factors of GU in the region. The results indicated that GU improved from 2005 to 2020 with an average annual growth rate of 1.25%, which decreased from middle to both sides with high-level cities spreading outward from Urumqi City. Technological innovation, environmental regulation and financial support played a positive role in GU, while industrialization, education security and population density hindered it. In addition, the effects of influencing factors on different subsystems and development stages of GU were heterogeneous. This study is beneficial for identifying the existing problems of GU and its subsystems in the NSEBTM, to further accelerate the transformation of urbanization through feasible technological innovation, environmental regulation and financial support.

Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification

High- and very high-resolution (HR, VHR) remote sensing (RS) images can provide comprehensive and intricate spatial information for land cover classification, which is particularly crucial when analyzing complex built-up environments. However, the application of HR and VHR images to large-scale and detailed land cover mapping is always constrained by the intricacy of land cover classification models, the exorbitant cost of collecting training samples, and geographical changes or acquisition conditions. To overcome this limitation, we propose an unsupervised domain adaptation (UDA) with contrastive learning-based discriminative feature augmentation (CLDFA) for RS image classification. In detail, our method first utilizes contrastive learning (CL) through a memory bank in order to memorize sample features and improve model performance, where the approach employs an end-to-end Siamese network and incorporates dynamic pseudo-label assignment and class-balancing strategies for adaptive domain joint learning. By transferring classification models trained on a source domain (SD) to an unlabeled target domain (TD), our proposed UDA method enables large-scale land cover mapping. We conducted experiments using a massive five billion-pixels dataset as the SD and tested the HR and VHR RS images of five typical Chinese cities as the TD and applied the method on the completely unlabeled world view 3 (WV3) image of Urumqi city. The experimental results demonstrate that our method excels in large-scale HR and VHR RS image classification tasks, highlighting the advantages of semantic segmentation based on end-to-end deep convolutional neural networks (DCNNs).

Association Studies of Serum Levels of TNF- α, IL-10, IFN-γ and CXCL 5 with Latent Tuberculosis Infection in Close Contacts.

Early recognition and treatment of latent tuberculosis infection(LTBI) is key to tuberculosis(TB) prevention. However, the emergence of LTBI is influenced by a combination of factors, of which the role of individual immune cytokines remains controversial. The aim of this study is to explore the influencing factors of LTBI and their effects with cytokines on LTBI. Close contacts of tuberculosis in Urumqi City from 2021 to 2022 were selected for the study to conduct a field survey. It used logistic regression model to analyse the influencing factors of LTBI, principal component analysis to extract a composite indicators of cytokines, and structural equation modelling to explore the direct and indirect effects of cytokines and influencing factors on LTBI. LTBI infection rate of 33.3% among 288 TB close contacts. A multifactorial Logistic model showed that factors influencing LTBI included education, daily contact hours, eating animal liver, and drinking coffee (P<0.05); After controlling for confounding factors and extracting composite indicators of cytokines using principal component analysis, CXCL5 and IFN-γ is a protective factor for LTBI(OR=0.572, P=0.047), IL-10 and TNF-α is a risk factor for LTBI(OR=2.119, P=0.010); Structural equation modelling shows drinking coffee, eating animal liver, daily contact hours, and IL-10 and TNF-α had direct effects on LTBI and educations had indirect effects on LTBI(P<0.05). IL-10 and TNF-α are involved in the immune response and are directly related to LTBI. By monitoring the cytokine levels of TB close contacts and paying attention to their dietary habits and exposure, we can detect and intervene in LTBI at an early stage and control their progression to TB.

Whole Genome Sequence-Based Analyses of Drug Resistance Characteristics, Genetic Diversity, and Transmission Dynamics of Drug-Resistant Mycobacterium tuberculosis in Urumqi City.

This study aims to analyze the drug resistance spectrum, genetic diversity, and transmission dynamics to provide a basis for the prevention and control of drug-resistant (DR) tuberculosis (TB) epidemics. This retrospective study is based on routine national drug resistance surveillance. The demographic, epidemiological, and clinical information on DR-TB patients from 2016 to 2021 was collected and used for phenotypic drug susceptibility testing and whole-genome sequencing. It was indicated that L2.2.1 was the dominant lineage in Urumqi. The drug resistance spectrum in Urumqi was narrow, which means more drug combinations can be used for clinical treatment. Furthermore, mutations identification of drug-resistance gene katG, rpoB, embA/B, rrs, rpsL, eis, gyrA/B, folC and tryA are important for clinical drug use. However, mutations in cross-resistance genes rrs have limited guidance for clinical selection of KM, CPM and AK. Moreover, there is an increased risk of cluster transmission of DR-TB, and the difference in clustering rate among L2, L3, and L4 was not statistically significant (χ2 = 2.6410, p = 0.2670). In the Urumqi, DR-TB has a complex prevalence state, a narrow drug resistance spectrum, and a high clustering rate and burden of drug resistance. To reduce the burden of DR-TB, related research should be strengthened, and the development of prevention, control, and treatment strategies should be accelerated.

Continuous electricity generation from diurnal and seasonal air temperature variation

Limited research has been conducted on green and effective approaches for harnessing thermal energy from diurnal and seasonal air temperature variation. Thermally regenerative electrochemical cycle, with high low-grade heat-to-electricity conversion efficiency, is desirable for generating electricity through periodical temperature variation because of its separate charging and discharging processes. However, the cell merely discharges at a limited period with intermittent power output. Herein, a novel continuous power output system, combining p-type and n-type cells, is proposed and investigated to harness heat from periodical temperature variation and convert it into electricity. In this instance, electricity generation relies solely on the energy derived from air without solar radiation or outer space cooling. Based on operating principles and experiment results, the system concept, operating processes, and mathematic models are well developed. The p-type and n-type cell characteristics, diurnal performance, and seasonal performance are investigated and analysed. The results suggest that the average power density is 0.15 W/kg and 0.69 W/kg in the diurnal and seasonal periodic conditions, respectively, in Urumqi city. This indicates the proposed idea is an effective technology for obtaining electricity continuously from air temperature variation.

Characteristics of Atmospheric Environmental Quality Changes and Health Risk Assessment in Urumqi City from 2018 to 2022

Characteristics of Atmospheric Environmental Quality Changes and Health Risk Assessment in Urumqi City from 2018 to 2022

Characteristics, sources, bio-accessibility, and health risks of organophosphate esters in urban surface dust, soil, and dustfall in the arid city of Urumqi in China

Sixty-eight paired samples of urban surface dust and soil as well as four samples of atmospheric dustfall were collected from the arid city of Urumqi in Northwest China. Thirteen organophosphate esters (OPEs) in these samples were analyzed for the characteristics, sources, bio-accessibility, and health risks of OPEs. The studied OPEs were widely detected in the urban surface dust, soil, and dustfall, with Σ13OPEs (total concentration of 13 OPEs) of 1362, 164.0, and 1367 ng/g, respectively, dominated by tris(2-chloroethyle) phosphate (TCEP), tri(2-chloroisopropyl) phosphate (TCiPP), tri(1, 3-dichloroisopropyl) phosphate (TDCiPP) and tris(2-butoxyethyl) phosphate (TBOEP), TBOEP and tri(2-ethylhexyl) phosphate (TEHP), and TCEP, TCiPP, TBOEP, triphenyl phosphate and TEHP, respectively. The low and high frequency magnetic susceptibility of surface dust and urban soil might indicate the pollution of OPEs in them. Elevated levels of the Σ13OPEs in the surface dust and urban soil were found in the west, south, and northeast of Urumqi city. The total deposition flux of dustfall-bound 13 OPEs ranged from 86.5 to 143 ng/m2/day, with a mean of 105 ng/m2/day. OPEs in the surface dust and urban soil were associated with the emissions of indoor and outdoor products containing OPEs, the dry and wet deposition of atmosphere, and the emissions of traffic. Trimethyl phosphate, triethyl phosphate, tripropyl phosphate, tri-isobutyl phosphate, TCEP, TCiPP, TDCiPP, and TBOEP in surface dust and urban soil had relatively high bio-accessibility. The bio-accessibility of OPEs was mainly affected by the physio-chemical properties of OPEs. The non-cancer and cancer risks of human exposure to OPEs in surface dust and urban soil were relatively low or negligible. The current research results may provide scientific supports for prevention and control of pollution and risks of OPEs.

Assessing health human resource structure at Urumqi's center for disease control and prevention.

By conducting an in-depth investigation and analysis of the health human resource framework within the Urumqi Center for Disease Control and Prevention (CDC), this study aims to offer valuable insights for the objective assessment and future enhancement of its talent development endeavors. A questionnaire survey was administered, followed by a descriptive analysis, involving the healthcare professionals affiliated with the Urumqi Center for CDC. The Urumqi Center for CDC exhibited a lower compilation number than its on-duty personnel count. When compared to county (district) level, the municipal level CDC displayed a higher educational attainment, a more favorable title distribution, and a younger workforce demographic. The human resource count in both Urumqi's city and county (district) level CDCs has decreased, but the relative numbers have improved, indicating enhanced quality and a younger workforce. The municipal-level CDC boasts a superior human resource structure compared to the county (district) level, with better fairness in population distribution by area than geography. Allocation equity within the central urban area is higher than in distant urban areas, highlighting regional disparities as a significant factor.

A cross-sectional study on the analysis of the current situation of depression and anxiety among primary and secondary school students in Urumqi City in 2021: A case study of S district

BackgroundDepression and anxiety in children and adolescents have become one of the major public health threats. This study aimed to provide a comprehensive and accurate understanding of the current status of depression and anxiety in primary and secondary school students in Urumqi and to provide a basis for early intervention in depressed and anxious individuals. MethodsAll primary and secondary school students in 13 schools in the Urumqi S district were surveyed from March 2021 to November 2021, and depression and anxiety were screened using the Self-rating Depression Scale (SDS) and the Self-rating Anxiety Scale (SAS). ResultsOverall, 17,086 students participated, with 16,462 valid questionnaires and an effective rate of 96.3%; the numbers of primary, middle, and high school students were 3351, 10,469, and 2642, respectively, with 8493 male students and 7969 female students. The overall depression and anxiety detection rates of primary and secondary school students were 10.74 % and 14.85 %, respectively; the depression detection rates were 5.97 %, 12.05 %, and 11.62 % in elementary, middle, and high schools, respectively(x2=114.8, P < 0.001), while that of anxiety were 9.16 %, 16.75 %, and 14.53 %, respectively (x2=127.5, P < 0.001); the overall depression combined with anxiety detection rate was 8.61 %, and the depression combined with anxiety detection rates in elementary, middle, and high school were 0.95 %, 6.27 %, and 1.39 %, respectively(x2=86.34, P < 0.001). SDS scores in elementary, middle, and high school were (33.21 ± 10.16), (36.66 ± 12.83), and (36.90 ± 11.97), respectively, and SAS scores were (39.64 ± 8.41), (41.88 ± 10.03), (40.71 ± 9.26), respectively. The depression and anxiety scores of primary and secondary school students in Urumqi were lower than those of domestic norm; female students in the middle school group had the highest depression and anxiety scores among all school periods. The SDS and SAS individual scores showed differences in the frequency of specific symptoms and subjective feelings of depression and anxiety among students of different sex and school periods. Depression and anxiety detection rates were highest in secondary school and lowest in primary school; the detection rates of depression and anxiety were significantly higher in female students than in male students. Depression and anxiety scores were significantly lower in the primary school group than in the middle and high school groups, and depression and anxiety levels were significantly higher in female than in male students in each academic period. Female students were 2.045 (95 % confidence interval [CI]: 1.845–2.267) and 2.006 (95 % CI: 1.835–2.193) times more likely to have symptoms of depression and anxiety than male students, respectively. Middle school students were 7.112 (95 % CI: 3.639–13.898) and 5.499 (95 % CI: 3.302–9.155) times and high school students were 7.504(95 % CI: 3.740–15.058) and 5.093 (95 % CI: 2.966–8.744) times more likely to have symptoms of depression and anxiety than elementary school students, respectively. LimitationsThe pandemic may have impacted the results of the study, and this study did not explore the influencing factors of anxiety and depression. ConclusionDepression and anxiety symptoms exist in some primary and secondary school students in S District, Urumqi.

Spatiotemporal Characteristics and Influencing Factors of Urban Heat Island Based on Geographically Weighted Regression Model: A Case Study of Urumqi City

Rapid urbanization threatens the ecological environment and quality of life by significantly altering land use and land cover (LULC) and heat distribution. One of the most significant environmental consequences of urbanization is the urban heat island effect (UHI). This study investigated the spatiotemporal characteristics of the SUHI and its relationship with land use types from 2000 to 2020 in Urumqi City, located in an arid and semi-arid region of northwestern China. Additionally, the ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to quantify the relationship between the land surface temperature (LST) and influencing factors. The results showed that the area of the lower surface temperature classes has decreased significantly. In comparison, the area of the higher surface temperature classes has experienced a steady rise over the last two decades. From 2000 to 2020, the share of the area occupied by the temperature range &lt;30 °C decreased by 67.09%. In addition, the LST varied significantly from one category of land use to another. The average LST of built-up land and unused land was higher than the average LST of other land use types in all years, while the average LST of grassland, forest land, and water bodies was significantly lower. Finally, the results of the GWR model showed that R2 and adjusted R2 of the GWR were 0.75 and 0.73, obviously larger than the 0.58 of the OLS models. The GWR model’s higher R2 and adjusted R2 compared to the OLS model indicates that the relationship between LST and the influencing factors underlying the model may exhibit spatial non-stationarity, and the GWR model performs better than the OLS model. The results of both OLS and GWR models show that the normalized difference vegetation index (NDVI) and slope were negatively correlated with LST, while the urban index (UI) and normalized difference built-up index (NDBI) were positively correlated with LST. The findings of the study indicate that increasing green spaces and limiting the unplanned expansion of urban areas are effective measures to mitigate the UHIs in the study area. The results of the study may provide valuable insights into the spatiotemporal characteristics of the UHI and its drivers. Understanding the spatiotemporal characteristics of the UHI can help urban planners, policymakers, and scientists develop more effective urban cooling strategies and improve the urban thermal environment.

Hyperspectral Inversion and Analysis of Zinc Concentration in Urban Soil in the Urumqi City of China

Excessive accumulation of zinc (Zn) in urban soil can lead to environmental pollution and pose a potential threat to human health and the ecosystem. How to quickly and accurately monitor the urban soil zinc content on a large scale in real time and dynamically is crucial. Hyperspectral remote sensing technology provides a new method for rapid and nondestructive soil property detection. The main goal of this study is to find an optimal combination of spectral transformation and a hyperspectral estimation model to predict the Zn content in urban soil. A total of 88 soil samples were collected to obtain the Zn contents and related hyperspectral data, and perform 18 transformations on the original spectral data. Then, select important wavelengths by Pearson's correlation coefficient analysis (PCC) and CARS. Finally, establish a partial least squares regression model (PLSR) and random forest regression model (RFR) with soil Zn content and important wavelengths. The results indicated that the average Zn content of the collected soil samples is 60.88 mg/kg. Pearson's correlation coefficient analysis (PCC) and CARS for the original and transformed wavelengths can effectively improve the correlations between the spectral data and soil Zn content. The number of important wavelengths selected by CARS is less than the important wavelengths selected by PCC. Partial least squares regression model based on first-order differentiation of the reciprocal by CARS (CARS-RTFD-PLSR) is more stable and has the highest prediction ability (R2 = 0.937, RMSE = 8.914, MAE = 2.735, RPD = 3.985). The CARS-RTFD-PLSR method can be used as a means of prediction of Zn content in soil in oasis cities. The results of the study can provide technical support for the hyperspectral estimation of the soil Zn content.

Characteristics of Indoor and Soil Gas Radon, and Discussion on High Radon Potential in Urumqi, Xinjiang, NW China

Urumqi City, located in the northwest of China, is a city with a high indoor radon concentration in a nationwide indoor radon survey in China. This study focuses on the assessment of the indoor radon level and its distribution in this city. Indoor radon measurement using RAD7 and solid nuclear track detector (SSNTD), soil gas radon measured by RAD7, and the determination of the specific activity of uranium and radium in soil samples by a high pure germanium spectrometer were performed from 2021 to 2023. The results reveal a wide range of indoor radon concentrations in Urumqi, with anomalies above 400 Bq/m3 in some dwellings. The arithmetical and geometric mean values of indoor radon concentration are 80 ± 77 Bq/m3 and 58 Bq/m3, respectively. The geometric mean value of radon measured by SSNTD is 101 Bq/m3. The distribution of areas with a high indoor radon concentration is spatially consistent with deep and large active faults or overlapping and intersection zones of multiple groups of faults. It is recommended to conduct a more comprehensive investigation and research into the elevated radon potential and radioactivity associated with building materials.

Serological investigation of brucella infection using a dipstick assay among individuals with unexplained fever in farming-pastoral areas of Xinjiang, China

ObjectiveTo evaluate the brucellosis detection of the dipstick assay coated with LPS antigen from Brucella melitensis vaccine strain M5 compared with Rose Bengal test (RB) and serum agglutination test (SAT), and investigate the brucella infection with the dipstick assay among people with unexplained fever in farming-pastoral areas of Xinjiang, China. MethodsThe dipstick assay was repeated to verify 130 positive and 200 negative serum samples, which had been confirmed by RB and SAT, for sensitivity and specificity analysis. Subsequently, 313 sera from people with unexplained fever in farming-pastoral areas including 6 counties in 3 regions where brucellosis is endemic and 200 sera from nonendemic city area (Urumqi City) in Xinjiang were detected with the dipstick assay for population infection rate survey. ResultsSensitivity and specificity was 100% and 97% respectively with dipstick assay compared with RB and SAT. The average positive rate of sera from people with unexplained fever from farming-pastoral areas in Xinjiang was 18.5% (58/313) and the highest was 22.5% (9/40). ConclusionsThe proportion of brucellosis infection among individuals with fever of unknown origin is relatively high in agricultural and pastoral areas of Xinjiang. The dipstick assay has a series of advantages such as low cost and fast speed, which make it suitable for the primary screening of high-risk populations.

Current situation and related of overweight and obesity in children aged 3-6 years old in Urumqi City in 2021

To understand the current situation and related factors of overweight and obesity in children aged 3-6 years old in Urumqi City. From October to December 2021, a questionnaire survey was conducted on the general information of 1897 children and their fathers or mothers from 10 kindergartens in Urumqi City by stratified cluster sampling, and the height and weight of the children were measured. SPSS 25.0 was used for χ~2 test and Logistic regression analysis. There were 1897 children out of which 961(50.66%) were boys, 936(49.34%) were girls, 334(17.60%) were 3 years old, 592(31.21%)were 4 years old, 667(35.16%) were 5 years old, and 304(16.03%) were 6 years old. The prevalence rate of obesity and overweight in children aged 3-6 years old was 31.21%(592). Single factor analysis showed that child&apos;s age, the child&apos;s sex, the child&apos;s dietary habits, whether the child&apos;s father had a family history of obesity, whether the child&apos;s mother had a family history of obesity, whether the child&apos;s mother suffered from hypertension during pregnancy, whether the child&apos;s father smoked, whether the child&apos;s mother smoked during pregnancy(including passive smoking), the child&apos;s family per capita monthly income, the child&apos;s family structure type, and the child&apos;s mother&apos;s pregnancy age were all statistically significant(P&lt;0.05 or P&lt;0.01). The logistic regression analysis showed that child&apos;s age, the child&apos;s sex, the child&apos;s dietary habits, whether the child&apos;s father had a family history of obesity, whether the child&apos;s mother had a family history of obesity, whether the child&apos;s mother suffered from hypertension during pregnancy, whether the child&apos;s father smoked, whether the child&apos;s mother smoked during pregnancy(including passive smoking), the child&apos;s family structure type, and the child&apos;s mother&apos;s pregnancy age were overweight and obesity children aged 3-6 years old of related factors in Urumqi(P&lt;0.05 or P&lt;0.01). The detection rate of overweight and obesity in children aged 3-6 years old in Urumqi City is high.

Pollution and Health Risk Assessment of Hazardous Elements in Surface Dust along an Urbanization Gradient

The hazardous element (HE) pollution of urban surface dust is a serious environmental issue, due to its toxicity and potential hazardous effects. Surface dust samples were collected from core urban, urban, and suburban gradients in the city of Urumqi in arid northwestern China, and the concentrations of six HEs, such as arsenic (As), cadmium (Cd), nickel (Ni), lead (Pb), mercury (Hg), and chromium (Cr) were determined. The pollution load index (PLI) and the US EPA health risk assessment model were applied, to assess and compare the pollution levels and the potential health risk of HEs in the surface dust in different urbanization gradients. The results indicated that the average concentrations of Hg, Cd, and Ni in the surface dust decreased in the order of core urban &gt; urban &gt; suburban, whereas the average concentrations of As, Cr, and Pb decreased in the order of urban &gt; core urban &gt; suburban. The PLI of HEs in surface dust decreased in the order of core urban &gt; urban &gt; suburban. The concentrations of HEs in the core urban and urban gradients were relatively higher than those in the suburban gradient. Furthermore, the total non-carcinogenic and carcinogenic risk index of the investigated HEs in surface dust decreased in the order of urban &gt; core urban &gt; suburban, for both adults and children. In addition, the pollution of surface dust by HEs in all urbanization gradients was more harmful to children’s health than to adults’. Overall, the potential non-carcinogenic and carcinogenic health risk of the investigated HEs, instigated primarily via the oral ingestion of surface dust, was found to be within the acceptable range. However, urbanization has effected the accumulation of HEs in surface dust, and Cr was the main non-carcinogenic risk factor, whereas Cd was the main carcinogenic risk factor, among the analyzed HEs in surface dust in three urban gradients in the study area.

Variations in the Reproductive Strategies of Different Charadrius alexandrinus Populations in Xinjiang, China.

Due to the influence of bio-geographical and environmental factors, as well as anthropogenic landscape features, organisms show different reproductive strategies among different populations. There is a lack of detailed information on the reproductive biology of Kentish plover Charadrius alexandrinus in arid lands in Central Asia. In this study, we summarized the characteristics of the reproductive biology of three geographically distinct plover populations in Aibi Lake in northwestern Xinjiang, Taitema Lake in southern Xinjiang and artificial reservoirs around Urumqi City in northern Xinjiang, based on 440 eggs from 158 nests observed and analyzed from April to July of 2019 and 2020. We found that there was no significant difference in clutch size among the three populations. However, the egg size of the Taitema Lake population was significantly larger than those of the other two populations, whilst the egg volume and clutch volume of the artificial reservoirs' populations were significantly larger than that of Aibi Lake. With the postponement of laying dates, the northern and northwestern populations showed the characteristics of a small clutch size and a relatively small egg size, respectively, and a decrease in reproductive output. The heavier female plovers in Taitema Lake laid eggs earlier, and there was a significantly positive correlation between female body mass and clutch size and egg size. The tarsometatarsus length of the female plovers was significantly positively correlated with the reproductive output in all three populations. The model selection results show that female body size and ambient temperature restrict the egg size and reproductive output of Kentish plovers, which is consistent with the upper limit hypothesis of the maternal condition and maternal constraint. Our data support the hypothesis that Kentish plovers show distinct flexibility in their breeding strategies to cope with the harsh natural environment in the arid lands of Xinjiang, China. The results of a relatively high average clutch size and average egg size imply that the saline wetlands of Western China are important breeding habitats for Kentish plovers.