How many birds are there in Guangdong Province, China?

Yam is the world's fourth most important tuber crop, after cassava, potato, and sweet potato in the world, the cultivation area of yam from the Food and Agriculture Organization of the United Nations Statistics Division database (FAOSTAT) is about 8,831,037 ha in 2020. Chinese yam (Dioscorea opposita Thunb.) is an economically important root crop throughout China due to its high economic and medicinal value. South China including Guangdong and Guangxi provinces is one of the important production districts of Chinese yam with economic value. A disease affecting the leaves was observed on yam leaves in August 2021 with an incidence of 20 to 90% in Guangdong and Guangxi provinces. Symptoms start as pinpoint lesions on yam leaves which enlarged to oval spots and large irregular spots. The spots were brown and surrounded by a chlorotic halo with sunken cavities, which are typical symptoms of anthracnose. To identify the causal agent, 9 symptomatic leaves from 3 different districts were collected in Guangdong and Guangxi provinces. Leaf samples were disinfested with 1% NaOCl for 3 min, and cultured on potato dextrose agar (PDA) at 28 °C for 3 days week. 9 single-spore isolates were recovered from each PDA medium. Colonies on PDA were grayish white with bright orange conidial spore masses. Fungal mycelia were hyaline, septate, and branched. Conidia were born on a long conidiogenous cell, straight, hyaline and cylindrical with rounded ends, 5.3 to 6.8×15.2 to 21.3μm (n = 50). Appressoria were dark, smooth-walled, oval in shape. The isolates were morphologically identified as Colletotrichum sp. (Weir et al. 2012). 3 strains were used for the pathogenicity test, 5 plants at creeping stage were inoculated with each isolate separately and 3-5 leaves of each plant were inoculated. Fresh wounds were made with a sterile needle on the healthy surface of yam leaves and each leaf was covered with a piece of cotton drenched with conidial suspension (106 conidia/mL) from each isolate. Control seedlings were inoculated identically except sterile water was used. Inoculated plants were placed in a moisturizing light incubator at 25℃ and 80% humidity under a 12-h light/dark cycle for 7 days and examined daily to monitor disease symptom development. Small round brown spots were observed at the inoculation sites 3 days after the inoculation and eventually became large brown lesions. No symptoms wre observed in the water-inoculated plants. A Colletotrichum sp. strain based on morphology was reisolated from inoculated leaves, fulfilling Koch's postulates. For molecular identification, the direct colony PCR method (Lu et al. 2012) was used to amplify the internal transcribed spacer (ITS) region of ribosomal DNA, calmodulin (Cal), tubulin (Tub) and Apmat loci of three isolates using primer pairs of ITS4/ITS5, CL1C/CL2C, T1/T2 and AM-F/AM-R (Sharma et al. 2015). A phylogenetic tree derived from a maximum likelihood analysis of a concatenated alignment of ITS, Cal, Tub and ApMAT sequences was created. The accession numbers of the three isolates YamZJCS, YamSXCS and YamYLCS used in this study were OP128056-OP128058 for ITS, OP128059-OP128061 for ApMAT，OP128062-OP128064 for Cal and OP128065-OP128067 for Tub. The sequences of the 3 isolates were aligned with related species of Colletotrichum (Sharma et al. 2015). Analyses based on concatenated data sets of 4 genes showed that the sequences had high levels of identity to that of the C. siamense strains. According to both morphological and sequence analyses, the pathogen was identified as C. siamense. There were reports of anthracnose on yam caused by Colletotrichum sp. in Guangxi (Zhu et al. 2007), Hainan (Lin et al. 2018) and Jiangsu (Han et al. 2020) provinces in China. To our knowledge, this is the first report of anthracnose on D. opposita caused by C. siamense in Guangdong province in China.

Journal of the European Academy of Dermatology and VenereologyVolume 37, Issue 3 p. e338-e341 LETTER TO THE EDITOR Rapid and sustained response of acute generalized pustular psoriasis of von Zumbusch to Secukinumab Xiaoyan Wu, Xiaoyan Wu orcid.org/0000-0002-9708-6060 Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorTianmeng Yan, Tianmeng Yan Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorChangxu Han, Corresponding Author Changxu Han [email protected] orcid.org/0000-0001-9023-0667 Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China Correspondence Zhenying Zhang, Department of Dermatology, The Eighth Affliated hospital of Sun Yat-sen University, Shenzhen, Guangdong Province, China. Email: [email protected] Changxu Han, Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China Email: [email protected]Search for more papers by this authorLi Ma, Li Ma Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorLihua Zeng, Lihua Zeng Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorXiaohong Chen, Xiaohong Chen Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorZhenying Zhang, Corresponding Author Zhenying Zhang [email protected] Department of Dermatology, The Eighth Affliated hospital of Sun Yat-sen University, Shenzhen, Guangdong Province, China Correspondence Zhenying Zhang, Department of Dermatology, The Eighth Affliated hospital of Sun Yat-sen University, Shenzhen, Guangdong Province, China. Email: [email protected] Changxu Han, Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China Email: [email protected]Search for more papers by this author Xiaoyan Wu, Xiaoyan Wu orcid.org/0000-0002-9708-6060 Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorTianmeng Yan, Tianmeng Yan Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorChangxu Han, Corresponding Author Changxu Han [email protected] orcid.org/0000-0001-9023-0667 Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China Correspondence Zhenying Zhang, Department of Dermatology, The Eighth Affliated hospital of Sun Yat-sen University, Shenzhen, Guangdong Province, China. Email: [email protected] Changxu Han, Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China Email: [email protected]Search for more papers by this authorLi Ma, Li Ma Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorLihua Zeng, Lihua Zeng Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorXiaohong Chen, Xiaohong Chen Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, ChinaSearch for more papers by this authorZhenying Zhang, Corresponding Author Zhenying Zhang [email protected] Department of Dermatology, The Eighth Affliated hospital of Sun Yat-sen University, Shenzhen, Guangdong Province, China Correspondence Zhenying Zhang, Department of Dermatology, The Eighth Affliated hospital of Sun Yat-sen University, Shenzhen, Guangdong Province, China. Email: [email protected] Changxu Han, Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China Email: [email protected]Search for more papers by this author First published: 27 September 2022 https://doi.org/10.1111/jdv.18609 Xiaoyan Wu and Tianmeng Yan Equal contribution. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume37, Issue3March 2023Pages e338-e341 RelatedInformation

Purpose: There is a close relationship between FDI and the level of urbanization. the objective of this research is to analyze the relationship between FDI and the level of urbanization in Jiangsu and Guangdong provinces in costal areas. Design/methodology/approach: The author uses the modern econometric methods by panel unit root test, cointegration test, random effects models and fixed effects models, and the data of FDI (2000-2012), urbanization rate, industrial structure and regional GDP of Nanjing, Xuzhou, Suzhou, Wuxi and other 13 cities in Jiangsu Province, Guangzhou, Shenzhen and other 19 cities in Guangdong province, researches the relationship between FDI and urbanization rate. Findings: Models show, FDI was closely correlated with urbanization rate in Jiangsu province and Guangdong province, the highly correlated with industrial structure, while it negatively correlated with the growth of GDP, and the degree of correlation is not high in Jiangsu province, but the high negative correlation in Guangdong province. The results shows the industrial structure and the urbanization rate mainly cause FDI growth. Research limitations/implications: There are many provinces in costal areas of China, this paper just research the relationship between FDI and the level of urbanization in Jiangsu province and Guangdong province, there are some limitations in the study areas and results. Originality/value: The study was the first to successfully apply on random effects model and fixed effects model to study the relationship between FDI and the level of urbanization in coastal areas by competitive analysis. Guangdong and Jiangsu province are the most developed regions, they are the most representative provinces in costal areas of China. Taking these two province as an example, we can analyze the relationship between FDI and the level of urbanization in central and western regions.

Electric vehicle attributed future air pollution alleviation: A case study in Guangdong province, China.

Spatial distribution and risk assessment of heavy metal pollution from enterprises in China

BackgroundRecently in China, HCV 6a infection has shown a fast increase among patients and blood donors, possibly due to IDU linked transmission.Methodology/FindingsWe recruited 210 drug users in Shanwei city, Guangdong province. Among them, HCV RNA was detected in 150 (71.4%), both E1 and NS5B genes were sequenced in 136, and 6a genotyped in 70. Of the 6a sequences, most were grouped into three clusters while 23% represent emerging strains. For coalescent analysis, additional 6a sequences were determined among 21 blood donors from Vietnam, 22 donors from 12 provinces of China, and 36 IDUs from Liuzhou City in Guangxi Province. Phylogeographic analyses indicated that Vietnam could be the origin of 6a in China. The Guangxi Province, which borders Vietnam, could be the first region to accept 6a for circulation. Migration from Yunnan, which also borders Vietnam, might be equally important, but it was only detected among IDUs in limited regions. From Guangxi, 6a could have further spread to Guangdong, Yunnan, Hainan, and Hubei provinces. However, evidence showed that only in Guangdong has 6a become a local epidemic, making Guangdong the second source region to disseminate 6a to the other 12 provinces. With a rate of 2.737×10−3 (95% CI: 1.792×10−3 to 3.745×10−3), a Bayesian Skyline Plot was portrayed. It revealed an exponential 6a growth during 1994–1998, while before and after 1994–1998 slow 6a growths were maintained. Concurrently, 1994–1998 corresponded to a period when contaminated blood transfusion was common, which caused many people being infected with HIV and HCV, until the Chinese government outlawed the use of paid blood donations in 1998.Conclusions/SignificanceWith an origin from Vietnam, 6a has become a local epidemic in Guangdong Province, where an increasing prevalence has subsequently led to 6a spread to many other regions of China.

Cryptosporidiosis is caused by species of Cryptosporidium protozoa that can infect a wide range of host animals worldwide. However, data regarding Cryptosporidium infection in farmed pigs in subtropical areas in China is limited. Therefore, a total of 396 fecal samples were obtained from farmed pigs from Zhejiang (n = 124), Guangdong (n = 72), and Yunnan (n = 200) provinces, China, and were tested by PCR amplification of the small subunit (SSU) rRNA gene. The overall prevalence of Cryptosporidium in pigs was 17.68% (70/396), with 20.11% (36/179) in male pigs and 15.67% (34/217) in female pigs. Additionally, Cryptosporidium prevalence was 8.33% (6/72) in Guangdong province, 14.52% (18/124) in Zhejiang province, and 23.00% (46/200) in Yunnan province. A DNA sequence analysis of the SSU rRNA gene revealed that all of the isolates represented C. scrofarum. This is the first report of C. scrofarum infection in pigs in Guangdong and Yunnan provinces in subtropical areas of China. The results of the present study provide foundation data for control and prevention of Cryptosporidium infection in pigs in the study areas in China.

In the past 30 years, dengue has undergone dramatic changes in China every year. This study explores the epidemiological trend of dengue in China during this period to identify high-risk seasons, regions, ages, susceptible populations, and provide information for dengue prevention and control activities.Dengue data from 1990 to 2019 were derived from the Public Health Science Data Center, Web of Science, China National Knowledge Infrastructure, PubMed, and Centers for Disease Control and Prevention of the corresponding province. GraphPad Prism 7 was conducted to generate disease evolution maps, occupational heat maps, and monthly heat maps of dengue cases and deaths in mainland China and Guangdong Province. Excel 2016 was used to create a cyclone map of age and gender distribution. Powerpoint 2016 was performed to create geographic maps.From 1990 to 2019, the annual number of dengue cases showed an increasing trend and reaching a peak in 2014, with 46,864 dengue cases (incidence rate: 3.4582/100,000), mainly contributed by Guangdong Province (45,189 cases, accounting for 96.43%). Dengue pandemics occurred every 4 to 6 years. The prevalence of dengue fever was Autumn, which was generally prevalent from June to December and reached its peak from September to November. The provinces reporting dengue cases each year have expanded from the southeastern coastal region to the southwest, central, northeast, and northwest regions, and the provinces with a high incidence were Guangdong, Guangxi, Yunnan, Fujian, and Zhejiang. People aged 25 to 44 years were more susceptible to dengue virus infection. And most of them were male patients. Dengue mainly occurs in the following groups: students, business service staffs, workers, farmers, retired staffs, housewives, and the unemployed. Four provinces reported deaths from dengue, namely Guangdong Province, Zhejiang Province, Henan Province, and Hunan Province.The dengue fever epidemic occurred every 4 to 6 years, mostly in autumn. The endemic areas were Guangdong, Guangxi, Yunnan, Fujian, and Zhejiang provinces. People aged 25 to 44 years, men, students, business service staffs, workers, farmers, retired staffs, housewives, and the unemployed were more susceptible to dengue fever. These findings help to develop targeted public health prevention and control measures.

Background and Aim: The study on optimizing the youth badminton competition system in Guangdong Province is mainly driven by two reasons: 1) Advancing the construction of the youth competition system is a crucial step towards integrating sports and education. 2) Several problems exist within the current youth badminton competition system in Guangdong Province, necessitating urgent solutions. This research objective was to develop the youth badminton competition system to align with the policy of deepening the integration of sports and education and to promote the healthy development of youth. Materials and Methods: This study investigates the current status of the youth badminton competition system in Guangdong Province through a questionnaire survey. Utilizing the Delphi method, indicators for the youth badminton competition system in Guangdong Province are formulated. The SWOT analysis method provides developmental strategies for the youth badminton competition system in Guangdong Province. The scope of the study primarily focuses on the youth badminton competition system in Guangdong Province, with the primary survey samples consisting of 12 managers, 30 referees, 60 coaches, 150 athletes, and 19 experts. Result: 1) The youth badminton competition system in Guangdong Province exhibits overlapping organizational structures, unclear objectives, and restrictive competitions. 2) According to expert opinions, there are four main indicators for the youth badminton competition system in Guangdong Province, mainly including Competition Objectives, Organizational Structure, Operations Management, and Competition Regulations. There are 15 secondary indicators and 38 tertiary indicators. 3) The developmental strategies for the youth badminton competition system in Guangdong Province are as follows: 1) It is recommended to establish a clear management organization. A specialized Youth Badminton Professional Committee for Guangdong Province should be set up under the coordinated management of the Education Department and the Sports Bureau. 2) Clear objectives are imperative. The construction of the youth competition system in Guangdong Province should commence with well-defined objectives. 3) The competition system is advised to encompass school-level, district-level, city-level, and province-level stages, forming a 4-level 10-tier model. Conclusion: The youth badminton competition system in Guangdong Province exhibits overlapping organizational structures and unclear objectives. It is recommended to establish a clear management organization. There are four main indicators for the youth badminton competition system in Guangdong Province, mainly including Competition Objectives, Organizational Structure, Operations Management, and Competition Regulations. All indicators are constructed with well and clear objectives.

To investigate the epidemiological characteristics and spatial distribution characteristics of Clonorchis sinensis human infections in Guangdong Province from 2016 to 2022, so as to provide insights into formulation of the clonorchiasis control measures in the province. Xinhui District of Jiangmen City, Longmen County of Huizhou City and Wengyuan County of Shaoguan City in Guangdong Province were selected as fixed surveillance sites for human clonorchiasis from 2016 to 2022, and additional 10% to 15% counties (districts) endemic for clonorchiasis were sampled from Guangdong Province as mobile surveillance sites each year from 2016 to 2022. A village (community) was randomly selected from each surveillance site according to the geographical orientations of east, west, south, north and middle, and subjects were randomly sampled from each village (community). C. sinensis eggs were detected in subjects' stool samples using the Kato-Katz technique, and the prevalence and intensity of C. sinensis infections were calculated. In addition, subjects' gender, age, ethnicity, educational level and occupation were collected. The Guangdong Provincial 1:1 million electronic map in vector format was downloaded from the National Geomatics Center of China, and kernel density analysis and spatial autocorrelation analysis of C. sinensis human infections in Guangdong Province from 2016 to 2022 were performed using the software ArcGIS 10.7. A total of 153 188 residents were tested for C. sinensis infections in Guangdong Province from 2016 to 2022, including 75 596 men (49.35%) and 77 592 women (50.65%), and there were 5 369 residents infected with C. sinensis, with 3.50% overall prevalence of infections. The prevalence rates of severe, moderate and mild C. sinensis infections were 0.76%, 7.26% and 91.97% among C. sinensis-infected residents in Guangdong Province from 2016 to 2022, and there were age-, gender-, ethnicity-, occupation- and educational level-specific prevalence of C. sinensis human infections (χ2 = 2 578.31, 637.33, 52.22, 2 893.28 and 1 139.33, all P values < 0.05). Global spatial autocorrelation analysis showed a cluster in the prevalence of C. sinensis human infections in Guangdong Province (Moran's I = 0.63, Z = 27.31, P < 0.05). Kernel density analysis showed that the prevalence of C. sinensis human infections with a high kernel density in Guangdong Province was mainly distributed along the Zhujiang River basin in Pearl River Delta areas, followed by in eastern and northern Guangdong Province. In addition, local spatial autocorrelation analysis identified 73 high-high clusters of the prevalence of C. sinensis human infections in Guangdong Province. The prevalence of C. sinensis human infections was high in Guangdong Province from 2016 to 2022, and mild infection was predominant among all clonorchiasis cases, with spatial clusters identified in the prevalence of C. sinensis human infections. Targeted clonorchiasis control measures are required among high-risk populations and areas.

Objective To estimate the cancer incidence and mortality in 2012 in Guangdong province by analyzing the cancer data of selected population-based cancer registries in Guangdong province in 2012.Methods Eight of nine population-based cancer registries submitted cancer data to the Guangdong Provincial Centre for Disease Control and Prevention (Guangdong CDC), whose data met the data quality criteria were included for analysis. The statistics of selected registries, stratified by areas, gender, age and cancer types, were used to estimate the cancer incidence and mortality in 2012 in Guangdong province according to the population data in Guangdong province. Segi’s population and the national census population in 2000 were used for calculating the age-standardized rates (ASR).ResultsA total of 15,084,942 people, accounted for 17.47% of all population in Guangdong province, were covered in 8 selected population-based cancer registries in 2012. The percentage of cases morphologically verified (MV%) and the percentage of death certificate-only cases (DCO%) were 72.84% and 0.87%, respectively, and the mortality/incidence (M/I) ratio was 0.56. It was estimated that there were 211,300 new cancer cases and 117,300 cancer deaths. The incidence crude rate (CR), the ASR by Chinese standard population (ASRC) and by world standard population (ASRW), and the accumulated rate (AR) (0.74 years)were 250.20/100,000 (265.39/100,000 in males, 234.29/100,000 in females), 207.04/100,000, 201.34/100,000 and 22.91%, respectively, in Guangdong province in 2012. The incidence CR and ASRC were 267.25/100,000 and 221.43/100,000 in urban areas, and 215.51/100,000 and 178.77/100,000 in rural areas, respectively. The death CR, ASRC, ASRW and AR (0.74 years) were 148.44/100,000 (190.95/100,000 in males, 105.06/100,000 in females), 103.73/100,000, 102.44/100,000 and 11.68%, respectively, in Guangdong province in 2012. The death CR and ASRC were 164.57/100,000 and 105.46/100,000 in urban areas, and 124.63/100,000 and 99.97/100,000 in rural areas, respectively. Top 5 cancers were lung cancer, liver cancer, female breast cancer, colon cancer and nasopharyngeal cancers (NPC), and top 5 death cancers were lung cancer, liver cancer, colon cancer, stomach cancer, and NPC in Guangdong province in 2012.Conclusions Lung cancer, liver cancer, female breast cancer, colon cancer and NPC were the major economic cancer burdens and health concerns in Guangdong province in 2012. Early prevention, diagnosis and treatment of different cancers, survival quality improvement and cancer burden reduction, are important issues we faced in cancer control and prevention.

In recent years, tourism has become an important part of China’s emerging services industry, and is regarded as the “sunrise industry” of the 21st century. Relevant data from China National Tourism Administration show that the number of domestic tourists in China reached 5 billion times in 2017, and the total number of inbound and outbound tourists in China reached 270 million. The annual domestic tourism revenue reached 4.57 trillion Yuan and the international tourism revenue reached $123.4 billion. According to the preliminary calculation of China National Tourism Administration, the comprehensive contribution of tourism to China’s GDP in 2017 has reached 9.13 trillion Yuan, and tourism brings the employment population to 79.9 million. With the continuous development of society, the role of tourism in promoting national economic development will become increasingly prominent. Guangdong province is located at the southernmost point of mainland China, with a long history and rich natural and cultural tourism resources. 2018 is the 40th anniversary of China’s reform and opening up. As the forefront of China’s reform and opening up, Guangdong province is an important tourist reception center and tourism center in China, and the tourism industry has always been in the leading position in China. For years, Guangdong province ranked first among China’s provincial economic rankings. The rapid development of tourism in Guangdong province plays an important role in the economic development of Guangdong province. This paper studies the tax contribution of tourism in Guangdong province by combining the relevant data of macro tax burden (tax rate). The study consists of three perspectives. First, Guangdong province is compared with Jiangsu, Shandong and Zhejiang provinces. Second, the comparison of eastern China. Third, Guangdong province is compared with the national average. Based on the research, this paper concludes that tourism tax contribution of Guangdong province is low. This paper studies the tax contribution of tourism in Guangdong province and puts forward some suggestions to improve the tax contribution of tourism in Guangdong province.

Background and Aim: This research aims to develop guidelines for the management of novice basketball university teams in Guangdong Province using management theory by investigating the current situation and problems of novice basketball university team management in Guangdong Province. Additionally, find out the main factors affecting the management of novice basketball teams at Guangdong University and put forward countermeasures to solve the problem. Finally, develop guidelines for the management of novice basketball university teams in Guangdong Province, which will be tested for applicability and validity by the experts using the connoisseurship method. This research mainly improves the management of novice basketball teams in Guangdong universities. Materials and Methods: The population of this research consists of three universities in Guangdong Province with novice basketball teams, namely Guangdong Teachers College of Foreign Languages and Arts, Guangdong Light Industry Vocational College, and Guangdong Institute of Finance. Seventy-nine novice basketball team members and eight coaches from three universities were a sample group of this research. A purposive sampling method was used. The questionnaire was distributed to the sample group to investigate the current situation in managing novice basketball university teams. After that, seven experts were invited to conduct interviews to draft the key elements for developing management guidelines. Nine experts conducted focus group discussions to develop management guidelines. Finally, seven experts conducted a connoisseurship discussion to confirm the developed management guideline. In this research, mean and standard deviation were used to analyze the data. The IOC value was as follows: the questionnaire for novice basketball team members was 0.86, the questionnaire for novice basketball team coaches was 0.90, and the interview form was 0.90. Results: The results showed that guideline for the management of novice basketball university teams in Guangdong Province was organized as follows: (1) planning divided into four aspects, namely set clear objectives, needs assessment, strategic partnerships, and annual development plan; (2) organizing divided four aspects, namely allocate resources effectively, build a structured team, recruit skilled coaches, and training program; (3) leading divided four aspects namely motivational leadership, player development, promote basketball on campus, and encourage open communication; (4) controlling divided four aspects namely monitor progress, feedback mechanisms, accountability systems, and evaluate team and coach performance. Conclusion: The results of this study show that the ‘Management Guide for New College Basketball Teams in Guangdong Province’ is comprehensive and targeted, based on the POLC (plan-organize-lead-control) management theory. The expert group agreed that the guide is very suitable for the resource conditions of universities in Guangdong Province and has high practicality and promotion value, considering the operational and development needs of novice teams. They can provide systematic guidance for improving the management efficiency and competitiveness of new college basketball teams in Guangdong Province.

PurposeThis paper aims to clarify the spatial connection characteristics and organization mode of logistics economy of 21 cities in Guangdong Province under the background of the integrated development of Guangdong, Hong Kong and Macao Bay area, and explore the spatial development characteristics and influencing factors of logistics economy in Guangdong Province.Design/methodology/approachThis paper constructs the development level model of urban logistics economy in Guangdong Province from three aspects: demand level, supply level and support level, and uses the entropy weight method to measure the development level index of urban logistics economy in Guangdong Province. Then, the traffic accessibility index model is used to measure the traffic accessibility index between cities in Guangdong Province. Finally, using the social network analysis method, combined with the development level index of urban logistics economy in Guangdong Province and the urban traffic access index in Guangdong Province, this paper analyzes the spatial connection characteristics and influencing factors of logistics economy network in Guangdong Province.FindingsThere are regional differences in the development level of logistics economy in Guangdong Province; The overall network density of its logistics economic connection is large, but there is an imbalance in the network structure, and the core edge phenomenon is obvious; Logistics economic space presents the characteristics of double core development.Research limitations/implicationsBecause the research object is the spatial connection characteristics of logistics economy in Guangdong Province, the research results may lack universality. Therefore, researchers are encouraged to put forward further tests.Practical implicationsBy studying the spatial connection mode of logistics economy in 21 cities in Guangdong Province, China, this paper promotes the original methods and empirical contributions, and constructs the research framework of spatial relationship of logistics economy. This research framework is universal to a certain extent.Social implicationsThis paper is conducive to promoting the integrated development of logistics economy in Guangdong Province and improving the balance of regional development of logistics economy.Originality/valueFirstly, this study provides a new perspective to understand the spatial relationship and spatial spillover of logistics economy from relational data rather than attribute data. Secondly, This study enriched and broadened the research topic of spatial correlation of logistics economy. Thirdly, this research aims to promote the original methods and empirical contributions. Specifically, this study establishes a comprehensive research framework on the spatial network structure of logistics economy.

Molecular genetic profiles among individual Clonorchis sinensis adults collected from cats in two geographic regions of China revealed by RAPD and MGE-PCR methods