[Spatio-temporal Differentiation of County Carbon Budget and Territorial Space Optimization Zoning Strategy in Gansu Province from the Perspective of Carbon Neutrality].

Under the background of comprehensively practicing the overall system concept of the "living community" in the new era, incorporating the carbon neutral development goal into the territorial spatial planning and construction and establishing the territorial spatial pattern and optimization strategy in line with the actual development of Gansu Province are of great significance for promoting the comprehensive green low-carbon transformation and high-quality development of regional economy and society. Taking counties in Gansu Province as an example, based on the perspective of carbon neutrality research, the land use carbon budget of 87 counties in Gansu Province in 2010, 2015, and 2021 was calculated and analyzed. GIS spatial analysis and social network analysis were used to further explore their spatial differentiation characteristics and the overall characteristics of the carbon emission spatial correlation network. At last, combined with the main function zoning, the low-carbon oriented land space optimization zoning was carried out, and differentiated low-carbon development strategies were proposed. The results were as follows： ① Carbon emissions in Gansu Province showed an upward trend, but the increase rate decreased, showing a spatial distribution of "high in the central and eastern part of the country, low in the southwest." Construction land was the main carbon source. The carbon uptake showed a spatial distribution of "high in the south and low in the north, high in the west and low in the east." Woodlands were the main carbon sinks. The net carbon emissions showed an increasing trend, and approximately 58.62% of the counties in the province were in a carbon imbalance situation. ② In 2021, the spatial network of county carbon emissions was closely related, showing a "core-edge" pattern. The Chenguan District and Qilihe District were in the core position of the network and received more correlation relationships in the network. The network contacts in Longzhong area were frequent, followed by the contacts in Longdongnan area. ③ Based on carbon emissions, carbon sequestration, and ecological carrying capacity coefficients and using the results of spatial correlation of social networks as role positions, the province was divided into four carbon-neutral sub-districts. At the same time, superimposed analysis of the main function zoning, the county area of the province was reconstructed into seven territorial space zones, and the differentiated regional low-carbon optimization development strategy was proposed for each zone.

Distribution and genotyping of hepatitis C virus (HCV) infection in Gansu province, China.

INTRODUCTION: The distribution of common subtypes of hepatitis C virus (HCV) in Gansu province were analyzed. This information provided a theoretical basis for the selection of appropriate antiviral treatment regimens. METHODOLOGY: We collected data on HCV antibody screening tests from 421,802 outpatients and inpatients at the Second Clinical Hospital of Lanzhou University from January 2018 to June 2022. Ribonucleic acid (RNA) viral load, HCV genotypes, and HCV quantification were analyzed retrospectively. The results of HCV positive detection rate, copy number, and genotype distribution were statistically analysed using SPSS 26.0. RESULTS: A total of 421,802 HCV antibody screenings were performed resulting in 4,558 positive cases (1.081%). In addition, 2,345 cases (1.302%) were positive with quantitative HCV antibodies in 180,157 outpatients and inpatients. Quantitative HCV virus RNA was further measured in 2592 outpatients and inpatients. There were 825 positive cases for HCV, with a positivity rate of 31.83%. High-sensitivity quantification of HCV-RNA was performed in 6538 patients, among which 1336 were HCV-RNA positive infections (positivity rate of 20.43%). Among the 1484 genotype tests, 4 genotypes and 10 subtypes were detected, including 4a, 1b, 2a, 2b, 3a, 3b, 6a, 6n, 1b/2a, and 2a/6a, with the majority of results from 2a (51.89%) and 1b (42.72%). CONCLUSIONS: The most prevalent genetic subtype in HCV-positive patients in Gansu was 2a, followed by 1b. In addition, 8 genotype subtypes appeared: 1a, 2b, 3a, 3b, 6a, 6n, 1b/2a and 2a/6a. Understanding the distribution of HCV genes in Gansu province is of significance for the optimization of virus treatment.

Carbon emission change based on land use in Gansu Province.

Carbon emissions from land use change have become one of the main sources of regional carbon emissions. In order to explore the changes, 87 districts and counties in Gansu Province are taken as research objects. Based on the remote sensing data and statistical data of land use, the carbon emission coefficient method was used to investigate the spatial characteristics of land use carbon emission of each district and county in Gansu Province in recent 20 years from the perspective of carbon ecological support coefficient and per capita carbon footprint. The main results are as follows: (1) the growth of land use carbon emissions in Gansu Province from 2000 to 2020 was significant, but the growth of carbon emissions after 2010 was fast, and the growth of carbon sinks was relatively slow. (2) The ecological support coefficient of carbon emissions at county level in Gansu Province showed a trend of high in the south and low in the north, high in the east and low in the west, and this trend became more and more obvious with the passage of time. (3) Based on carbon emission, county population, and carbon ecological support capacity, the per capita carbon footprint of each county in Gansu Province was analyzed. The results showed that the per capita carbon footprint in Gansu Province was increasing, indicating that the gap between carbon emission and carbon absorption in each county was widening. By the above result, the author divides the counties of Gansu Province into three regions, low-carbon maintenance area, green development area, and ecological optimization area, and puts forward development suggestions for different regions, respectively. Therefore, this paper can also provide a theoretical reference for the formulation of carbon neutral planning measures in inland northwest China.

How should rural development be chosen? The mechanism narration of rural regional function: A case study of Gansu Province, China.

Several major changes in China's land policy, economic system, and development strategy have contributed to the continuous transformation of rural patterns and urban-rural relations. The deepening of urban-rural interaction has led to an increasing complexity of rural territorial functions, and the importance of territorial multifunctional mechanisms in the dynamic process of rural development in China has been highlighted. However, the current choice of a rural development model lacks comprehensive thinking that combines the functional mechanisms of rural areas with the elements of the development environment. In this paper, we define and identify the functions of rural areas in Gansu Province, China, and analyze and construct a rural development model by analyzing the interaction between the mechanisms of rural regional functions and the "rural revitalization" strategy. We find that under the control of "rural revitalization," a sustainable development tool, the countryside is constantly developing into a multifunctional complex, and its development mode should be dynamically adjusted according to functional changes. Finally, we summarize the general evolutionary cycle of the multifunctional system of rural regions and attempt to extrapolate the dynamic developmental village type classification process of "rural revitalization" from the perspective of rural regional functions in China.

Characteristics of the knowledge graph of scientific and technological innovation in Gansu Province.

The knowledge graph based on research papers can accurately identify and present the latest developments in scientific and technological (S&T) innovation and is of great significance for supporting strategic decision-making relating to S&T innovation in undeveloped areas. Based on the international research papers produced in Gansu Province during the 13th Five-Year Plan period (2016-2020), five metrics, including the number and characteristics of papers, co-authors, main publications and their fields, major supporting institutions, and main research areas, are established herein. The results indicate that: (i) the total of 29,951 papers were published, which is about 2.89 times that in 2010-2015; (ii) Gansu Province collaborated with 149 countries/regions globally; (iii) the top 5 journals in terms of the number of papers were Medicine, Scientific Reports, RSC Advances, Science of the Total Environment, and Physical Reviews D; (iv) the funding sources were mainly from the national level; and (5) the top 5 research areas were chemistry, engineering, physics, material science, environmental science, and ecology, which accounted for 64.7% of all papers. Finally, the present study puts forward some recommendations for the decision-making process in the strategic layout of S&T innovation in Gansu Province.

[Analysis of disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020].

Objective: Through comparative analysis of the disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020, the main influencing factors are screened, and scientific basis is provided for rational allocation of limited health resources, precise management and policy implementation. Methods: In August 2021, survey and collect information on surviving occupational pneumoconiosis patients and dead occupational pneumoconiosis patients diagnosed in Gansu Province from 2010 to 2020, and analyze and calculate indicators such as morbidity, mortality, and disability adjusted of life years (DALY). Analyzing the influencing factors of disease burden usirrg multiple linear regression. Results: From 2010 to 2020, the average annual incidence of occupational pneumoconiosis in Gansu Province was 0.9992/100000, the average annual mortality was 0.897/100000, the cumulative case fatality rate was 25.75%, and the cumulative DALY was 28932.96 person-years. The first stage of occupational pneumoconiosis was the highest among DALY loss (19920.14 person-years), and the DALY loss was positively correlated with the stage of occupational pneumoconiosis. Among occupational pneumoconiosis in Gansu Province, silicosis (13753.66 person-years) and coal worker's pneumoconiosis (13414.73 person-years) caused the highest disease burden, followed by cement pneumoconiosis and asbestos lung. Period, length of service, type of disease, and region are all influencing factors of DALY loss (P<0.05). Conclusion: From 2010 to 2020, the DALY losses caused by occupational pneumoconiosis in Gansu Province showed a fluctuating decrease, with the composition of DALY mainly changing from the loss of life years due to premature death to the loss of years due to injury and disability.

Food Sources May Affect the Symptom Rates of COVID-19, an Epidemiological Analysis Based on the Public Data in Gansu Province, China, During the Summer Epidemic Cycle in 2022.

According to the public data collected from the Health Commission of Gansu Province, China, regarding the COVID-19 pandemic during the summer epidemic cycle in 2022, the epidemiological analysis showed that the pandemic spread stability and the symptom rate (the number of confirmed cases divided by the sum of the number of asymptomatic cases and the number of confirmed cases) of COVID-19 were different among 3 main epidemic regions, Lanzhou, Linxia, and Gannan; both the symptom rate and the daily instantaneous symptom rate (daily number of confirmed cases divided by the sum of daily number of asymptomatic cases and daily number of confirmed cases) in Lanzhou were substantially higher than those in Linxia and Gannan. The difference in the food sources due to the high difference of the population ethnic composition in the 3 regions was probably the main driver for the difference of the symptom rates among the 3 regions. This work provides potential values for prevention and control of COVID-19 in different regions.

Variation characteristics of climatic potential yield and resources utilization efficiency of maize under the background of climate change in agro-pastoral transitional zone of Gansu, China.

To evaluate the effects of changes in radiation, accumulative temperature, precipitation and climate resources on climate resource utilization efficiency in the agro-pastoral transitional zone of Gansu Province, we analyzed the variations of climate potential yield loss rate, light, heat, precipitation and comprehensive utilization efficiency of climate resources in the agro-pastoral transitional zone of Gansu Province by the step-by-step correction and indexation method, with the 1971-2020 weather data from 45 meteorological sites and the maize phenology data. The results showed that solar radiation showed fluctuating downward trend at a rate of -22.03 MJ·m-2·(10 a)-1, the accumulative ≥11 ℃ temperature showed significant upward trend at a rate of 60.89 ℃·(10 a)-1, the precipitation showed slow upward trend at a rate of 2.05 mm·(10 a)-1 during the study period. The climate potential yield loss rate due to temperature and precipitation limitations was relatively high in Gannan and the northern part of Longzhong, while it was relatively low in the most areas of Longdong. Except for the central part of the study area and part of Longdong, the climate potential yield loss rate due to temperature and precipitation limitations in other regions of the study area showed decreased trend at the rate of -2.0%·(10 a)-1 and -0.6%·(10 a)-1. The low-value areas of light and heat utilization efficiency distributed in the northern and southern parts of Longzhong and part of Gannan, the low-value area of precipitation utilization efficiency distributed in Gannan, and the low value of comprehensive utilization efficiency distributed in Lanzhou and Baiyin which were 0.41 and 0.47, respectively. Longdong was the most suitable for maize planting, where the climate resources utilization efficiency of maize was highest, followed by Gannan and Longzhong. The average tendency rate of light, heat, precipitation and climate resources comprehensive utilization efficiency in the study area showed increased trend, which were 0.1%·(10 a)-1, 0.07 kg·hm-2·â„ƒ-1·d-1·(10 a)-1, 1.17 kg·hm-2·mm-1·(10 a)-1 and 0.05 ·(10 a)-1, respectively, showing a good potential to increase maize yield.

Comprehensive evaluation and analysis of laboratory resource allocation in 14 blood stations based on entropy weight -TOPSIS method / 中国输血杂志

【Objective】 To investigate the resource allocation status of blood testing laboratories in 14 blood stations in Gansu Province, explore the impact of differences in basic conditions on the comprehensive testing ability of laboratories, so as to promote the homogenization and standardization of blood screening capacity in blood stations in Gansu and improve blood safety and effectivenes. 【Methods】 An evaluation index system of laboratory resource allocation was constructed and a question-naire was designed. The data of human resources, infrastructure and key equipment of 14 blood stations were collected. The entropy weight -TOPSIS method was used to evaluate and rank the resource allocation of 14 blood stations. 【Results】 In the comprehensive evaluation of blood testing laboratory resource allocation in 14 blood stations in Gansu, the top three were laboratories A, B and I, and the last three were laboratories G, M and J. On the whole, the main issue was unreasonable structure of human resources: most laboratories had unreasonable age structure; except for Laboratory A, there was no personnel with bachelor's degree or above in laboratories; most laboratories had not established a team with intermediate professional titles. In terms of infrastructure, the size of seven laboratories could not meet the needs of modern laboratory testing, and all eight blood stations had no spare nucleic acid laboratories nor a mutual spare laboratory with other blood stations As for the key equipment, 5 laboratories had no automatic blood grouping diagnostic instrument, 5 laboratories only had one set of enzyme immunoassay detection system, 3 laboratories had no spare equipment for the key equipment, which means if the equipment failure could not be repaired in time, the release of results would be affected. 【Conclusion】 There were significant differences in human resources, infrastructure and key equipment of blood testing laboratories in 14 blood stations in Gansu, which had a great impact on laboratory testing capacity and subsequent development. It is suggested that governments at all levels and health administrative departments optimize the input of laboratory resource allocation according to the blood collection volume of blood stations to gradually narrow the differences in resource distribution between different regions, improve the degree of laboratory automation and optimize the personnel structure, so as to build high-quality and efficient blood testing laboratories and ensure the safety of clinical blood use.

Analysis of disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020 / 中华劳动卫生职业病杂志

Objective: Through comparative analysis of the disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020, the main influencing factors are screened, and scientific basis is provided for rational allocation of limited health resources, precise management and policy implementation. Methods: In August 2021, survey and collect information on surviving occupational pneumoconiosis patients and dead occupational pneumoconiosis patients diagnosed in Gansu Province from 2010 to 2020, and analyze and calculate indicators such as morbidity, mortality, and disability adjusted of life years (DALY). Analyzing the influencing factors of disease burden usirrg multiple linear regression. Results: From 2010 to 2020, the average annual incidence of occupational pneumoconiosis in Gansu Province was 0.9992/100000, the average annual mortality was 0.897/100000, the cumulative case fatality rate was 25.75%, and the cumulative DALY was 28932.96 person-years. The first stage of occupational pneumoconiosis was the highest among DALY loss (19920.14 person-years), and the DALY loss was positively correlated with the stage of occupational pneumoconiosis. Among occupational pneumoconiosis in Gansu Province, silicosis (13753.66 person-years) and coal worker's pneumoconiosis (13414.73 person-years) caused the highest disease burden, followed by cement pneumoconiosis and asbestos lung. Period, length of service, type of disease, and region are all influencing factors of DALY loss (P<0.05). Conclusion: From 2010 to 2020, the DALY losses caused by occupational pneumoconiosis in Gansu Province showed a fluctuating decrease, with the composition of DALY mainly changing from the loss of life years due to premature death to the loss of years due to injury and disability.

How climate, landscape, and economic changes increase the exposure of Echinococcus Spp.

BACKGROUND: Echinococcosis is a global enzootic disease influenced by different biological and environmental factors and causes a heavy financial burden on sick families and governments. Currently, government subsidies for the treatment of patients with echinococcosis are only a fixed number despite patients' finical income or cost of treatment, and health authorities are demanded to supply an annual summary of only endemic data. The risk to people in urban areas or non-endemic is increasing with climate, landscape, and lifestyle changes. METHODS: We conducted retrospective descriptive research on inpatients with human echinococcosis (HE) in Lanzhou hospitals and analyzed the healthcare expenditure on inpatient treatment and examined the financial inequalities relating to different levels of gross domestic product. The livestock losses were also estimated by infection ratio. The occurrence records of Echinococcus spp. composed of hospitalized patients and dogs infected in the Gansu province were collected for Ecological niche modeling (ENM) to estimate the current suitable spatial distribution for the parasite in Gansu province. Then, we imported the resulting current niche model into future global Shared Socioeconomic Pathways scenarios for estimation of future suitable habitat areas. RESULTS: Between 2000 to 2020, 625 hospitalized HE patients (51% men and 49% women) were identified, and 48.32 ± 15.62 years old. The average cost of hospitalization expenses per case of HE in Gansu Province was ï¿¥24,370.2 with an increasing trend during the study period and was negative with different counties' corresponding gross domestic product (GDP). The trend of livestock losses was similar to the average cost of hospitalization expenses from 2015 to 2017. The three factors with the strongest correlation to echinococcosis infection probability were (1) global land cover (GLC, 56.6%), (2) annual precipitation (Bio12, 21.2%), and (3) mean temperature of the Wettest Quarter (Bio12, 8.5% of variations). We obtained a robust model that provides detail on the distribution of suitable areas for Echinococcus spp. including areas that have not been reported for the parasite. An increasing tendency was observed in the highly suitable areas of Echinococcus spp. indicating that environmental changes would affect the distributions. CONCLUSION: This study may help in the development of policies for at-risk populations in geographically defined areas and monitor improvements in HE control strategies by allowing targeted allocation of resources, including spatial analyses of expenditure and the identification of non-endemic areas or risk for these parasites, and a better comprehension of the role of the environment in clarifying the transmission dynamics of Echinococcus spp. Raising healthcare workers' and travelers' disease awareness and preventive health habits is an urgent agenda. Due to unpredictable future land cover types, prediction of the future with only climatic variables involved needs to be treated cautiously.

[Spatial distribution characteristics of rare and endangered medicinal plant resources in Gansu province].

Gansu province is located at the intersection of the three plateaus(Qinghai-Tibet Plateau, Inner Mongolia Plateau, and Loess Plateau) and the three river basins(Yellow River Basin, Yangtze River Basin, and inland river basin). The complex eco-environment and climate conditions here have created rich and diverse vegetation. Therefore, it is of great significance to study the spatial distribution characteristics of rare and endangered medicinal plant resources in Gansu province for formulating reasonable protection po-licies and promoting the development of medicinal plant industry. The data of rare and endangered medicinal plant resources in 87 counties of Gansu province were collected from results of the fourth general survey. The spatial distribution and the high-or low-value gathering area of rare and endangered medicinal plant resources in Gansu province were analyzed by geostatistical methods such as exploratory spatial data analysis, trend surface analysis, and Anselin Local Moran's I. The eco-environment characteristics of the high-or low-value gathering area were analyzed with the data of vegetation type, soil texture classification, annual mean temperature, annual mean precipitation, and elevation. Furthermore, the relationships of the spatial distribution and diversity with the geographical environment of rare and endangered medicinal plants in Gansu province were analyzed to provide support for the restoration and protection policy making of these plant resources.

Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China.

Gansu Province is rich in tourism resources, and it is the hometown of the "copper galloping horse", which is the logo of China's tourism. However, the scale and revenues of tourism in Gansu province are still at a low level. This paper first evaluated the tourism efficiency of 14 cities and prefectures of Gansu Province in China from 2011 to 2019 using the super-slack-based measure (Super-SBM) and then investigated the internal driving mechanism of the efficiency change through the Global Malmquist-Luenberger (GML) index and its decomposition, and finally analyzed the external influencing elements of tourist efficiency by the Tobit model. The results revealed that the tourism efficiency of Gansu Province had increased rapidly during the study period, especially after 2016, the rising range increased. From 2011 to 2019, the cumulative changes in GML index, technological change (TC), and efficiency change (EC) of tourism efficiency in Gansu Province were 5.053, 4.145 and 1.160, respectively, indicating that the improvement of tourism efficiency in Gansu province is mainly due to technological progress. The regression results of the Tobit model show that the status of the tourism industry, trade openness, information level, and technological innovation level can significantly promote tourism efficiency in the province. At the same time, upgrading the industrial structure and the improvement of greening coverage inhibit tourism efficiency. However, the impact of the economic development level on the tourism efficiency of Gansu Province is not apparent. According to the research results, this paper puts forward corresponding suggestions to promote the development of tourism in Gansu Province. This study is crucial for hospitality, tourism, and policy sectors to understand the underlying factors and promote the healthy development of the tourism industry in Gansu Province.

[Analysis of the guarantee and enjoyment of patients with occupational pneumoconiosis in Gansu Province].

Objective: To analyze the security situation of patients with occupational pneumoconiosis in Gansu Province to lay the foundation for strengthening the security measures for patients with pneumoconiosis. Methods: In August 2020, a follow-up survey was conducted on the current patients with occupational pneumoconiosis diagnosed and surviving in Gansu Province from 1949 to 2019, to obtain the information of industrial injury insurance, employer compensation, medical insurance, subsistence allowance and so on, and analyze their distribution characteristics. The proportion of patients enjoying various security, medical insurance reimbursement and subsistence allowances was tested by chi square. Results: Among the current patients with occupational pneumoconiosis in Gansu Province, 72.0% (5335/7410) enjoyed the benefits of work-related injury insurance, 8.2% (609/7410) enjoyed the compensation paid by the employer, 91.5% (6780/7410) had medical insurance, and 2.8% (204/7410) had no guarantee. Among the patients with occupational pneumoconiosis, 374 enjoyed the minimum living allowance, accounting for 5.05% (374/7410) ; the first diagnosis period with a high proportion of minimum living allowance was phase Ⅲ, accounting for 15.14% (43/284) . Conclusion: The proportion of medical insurance outpatient and inpatient reimbursement of occupational pneumoconiosis patients in Gansu Province is still at a low level. It is suggested that relevant departments should introduce relevant security policies for workers without fixed employers to reduce the economic burden of patients.

Five new species of Synagelides Strand, 1906 from China (Araneae, Salticidae).

Five new species of salticids were collected from China: Synagelidesemangou Liu, sp. nov. (♂, ♀) from Gansu province, and S.jinding Liu, sp. nov. (♂), S.serratus Liu, sp. nov. (♂, ♀), S.shuqiang Liu, sp. nov. (♂), and S.triangulatus Liu, sp. nov. (♀) from Jiangxi Province. All species are described and illustrated with photographs and SEM micrographs, and their distributions are also mapped.

Analysis of prognostic factors of metastatic endometrial cancer based on surveillance, epidemiology, and end results database.

Objective: To explore the risk factors for survival and prognosis of patients with metastatic endometrial cancer and to build and verify a reliable prediction model. Methods: We retrospectively analyzed patients diagnosed with metastatic endometrial cancer in the US Surveillance, Epidemiology, and End Results (SEER) database between January 2010 and December 2015. Univariate and multivariate Cox regression analyses were used to assess clinical variables impact on survival and to construct nomograms. The results of the consistency index (C-index), subject operating characteristic (ROC) curve, and calibration curve were used to evaluate the predictive ability of the nomogram. Results: This study included 3,878 patients with metastatic endometrial cancer. In the univariate analysis, variables associated with overall survival (OS) and cancer-specific survival (CSS) included age, race, marital status, pathological type, pathological grade, T-stage, N-stage, surgery, radiotherapy, chemotherapy, bone metastasis, brain metastasis, liver metastasis, and lung metastasis. In the multivariate analysis, age, race, pathological type, pathological grade, T-stage, N-stage, surgery, radiotherapy, chemotherapy, brain metastasis, liver metastasis, and lung metastasis were independent risk factors for OS and CSS (all P < 0.05). Combined with the results of the multiple factors, the 1-, 3-, 5-, and 8-year nomograms were constructed. For OS and CSS, T-stage had the greatest impact on the adverse prognosis of patients with metastatic endometrial cancer. The C-indexes of the OS and CSS nomograms in the training cohort were 0.749 (95% CI, 0.739-0.760) and 0.746 (95% CI, 0.736-0.756), respectively. The C-indices of OS and CSS in the validation cohort were 0.730 (95% CI, 0.714-0.746) and 0.728 (95% CI, 0.712-0.744), respectively. The ROC curve revealed our model's good prediction accuracy and clinical practicability. The calibration curve also confirmed the consistency between the model and actual existence. The Kaplan-Meier curves revealed statistically significant differences between the risk subgroups (P < 0.05). Conclusion: Our SEER-based nomograms for predicting survival in patients with metastatic endometrial cancer were helpful for the clinical evaluation of patient prognosis.

Analysis of the guarantee and enjoyment of patients with occupational pneumoconiosis in Gansu Province / 中华劳动卫生职业病杂志

Objective: To analyze the security situation of patients with occupational pneumoconiosis in Gansu Province to lay the foundation for strengthening the security measures for patients with pneumoconiosis. Methods: In August 2020, a follow-up survey was conducted on the current patients with occupational pneumoconiosis diagnosed and surviving in Gansu Province from 1949 to 2019, to obtain the information of industrial injury insurance, employer compensation, medical insurance, subsistence allowance and so on, and analyze their distribution characteristics. The proportion of patients enjoying various security, medical insurance reimbursement and subsistence allowances was tested by chi square. Results: Among the current patients with occupational pneumoconiosis in Gansu Province, 72.0% (5335/7410) enjoyed the benefits of work-related injury insurance, 8.2% (609/7410) enjoyed the compensation paid by the employer, 91.5% (6780/7410) had medical insurance, and 2.8% (204/7410) had no guarantee. Among the patients with occupational pneumoconiosis, 374 enjoyed the minimum living allowance, accounting for 5.05% (374/7410) ; the first diagnosis period with a high proportion of minimum living allowance was phase Ⅲ, accounting for 15.14% (43/284) . Conclusion: The proportion of medical insurance outpatient and inpatient reimbursement of occupational pneumoconiosis patients in Gansu Province is still at a low level. It is suggested that relevant departments should introduce relevant security policies for workers without fixed employers to reduce the economic burden of patients.

Decomposition and Decoupling Analysis of CO2 Emissions Based on LMDI and Two-Dimensional Decoupling Model in Gansu Province, China.

Currently, little attention has been paid to reducing carbon dioxide (CO2) emissions of Gansu, and the two-dimensional decoupling model has been rarely used to study the relationship between the economic development and CO2 emissions, especially in western China (e.g., Gansu). Thus, here, we first used the Logarithmic Mean Divisia Index (LMDI) to decompose the driving factors of Gansu's CO2 emissions between 2000-2017 and then analyzed the decoupling relationship by using the two-dimensional model. Results showed: (1) Gansu's CO2 emissions increased from 7805.70 × 104 t in 2000 to 19,896.05 × 104 t in 2017. The secondary industry accounted for the largest proportion in Gansu's CO2 emissions, followed by the tertiary industry and the primary industry. (2) The economic output showed the dominant driving effect on Gansu's CO2 emissions growth with the cumulative contribution rate of 201.94%, followed by the effects of industrial structure, population size, and energy structure, and their cumulative contribution rates were 9.68%, 7.81%, and 3.05%, respectively. In contrast, the energy intensity effect presented the most obvious mitigating effect with the cumulative contribution rate of -122.49%. (3) The Environmental Kuznets Curve (EKC) between CO2 emissions and economic growth was demonstrated the inverted U-shape in Gansu. The two-dimensional decoupling status was the low level-weak decoupling (WD-LE) during 2000-2017. Thus, dropping the proportion of the secondary industry, reducing the use of carbon-intensive fuel like coal, introducing advanced technologies, and increasing the investment of new energy might effectively restrain the growth of Gansu's CO2 emissions.

MicroRNA profiles in five pairs of early gastric cancer tissues and adjacent non-cancerous tissues.

Approximately half of the world's gastric cancer cases and deaths occur in China. In addition, the incidence and mortality rates of gastric cancer in Gansu province in China are much higher than the average nationwide levels. The present study investigated microRNA (miRNA/miR) profiles in early gastric cancer (EGC) without specific symptoms. miRNA expression levels in five pairs of EGC tissues and adjacent non-cancerous mucosa tissues of patients from Gansu province in China were analyzed using a miRNA microarray. A total of 47 differentially expressed miRNAs (DEMs) were identified. Subsequently, mRNA expression profiles of three pairs of cancer tissues and adjacent non-cancerous tissues from 3 Asian patients with stage I or stage II gastric cancer (stage I/II; American Joint Committee on Cancer classification, Eighth Edition) were obtained from The Cancer Genome Atlas database, and differentially expressed genes (DEGs) were identified. The target genes of DEMs were filtered from the DEGs using the miRDB database and a miRNA-gene network was constructed. The functions of DEMs were evaluated using the tool for annotations of human miRNAs database, and via Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes analysis and Gene Set Enrichment Analysis of the target genes. Finally, survival analyses of DEMs, which were in the miRNA-gene network, was performed. The results suggested that a number of miRNAs, including hsa-let-7a-5p, hsa-miR-27a-3p, hsa-miR-126-5p and hsa-miR-424-5p, may serve critical roles in EGC. The present study could provide a basis for the identification of EGC screening biomarkers. Furthermore, the present study may provide a basis for the exploration of the cause of the high incidence of gastric cancer in Gansu province from the perspective of miRNAs.

A cross-sectional study of the epidemic situation on COVID-19 in Gansu Province, China - a big data analysis of the national health information platform.

BACKGROUND: In December 2019, a pneumonia caused by SARS-CoV-2 emerged in Wuhan, China and has rapidly spread around the world since then. This study is to explore the patient characteristics and transmission chains of COVID-19 in the population of Gansu province, and support decision-making. METHODS: We collected data from Gansu Province National Health Information Platform. A cross-sectional study was conducted, including patients with COVID-19 confirmed between January 23 and February 6, 2020, and analyzed the gender and age of the patients. We also described the incubation period, consultation time and sources of infection in the cases, and calculated the secondary cases that occurred within Gansu for each imported case. RESULTS: We found thirty-six (53.7%) of the patients were women and thirty-one (46.3%) men, and the median ages were 40 (IQR 31-53) years. Twenty-eight (41.8%) of the 67 cases had a history of direct exposure in Wuhan. Twenty-five (52.2%) cases came from ten families, and we found no clear reports of modes of transmission other than family clusters. The largest number of secondary cases linked to a single source was nine. CONCLUSION: More women than men were diagnosed with COVID-19 in Gansu Province. Although the age range of confirmed cases of COVID-19 in Gansu Province covered almost all age groups, most patients with confirmed COVID-19 tend to be middle aged persons. The most common suspected mode of transmission was through family cluster. Gansu and other settings worldwide should continue to strengthen the utilization of big data in epidemic control.