Jiangsu Province Of China Research Articles

Are there interactions between the urban and rural construction land use transition? Evidence from Jiangsu province in China

The interactive feedback between the transition of urban construction land (UCL) and rural construction land (RCL) lies at the forefront of land use transition (LUT) research, and can shape the intrinsic driving forces for land system sustainable transition and urban-rural integrated development. This study innovatively investigated the interactive feedback between UCL and RCL transition. First, a theoretical analytical framework was proposed. Second, a spatial simultaneous equation model (SSEM) was employed to examine the interactive feedback between UCL and RCL transitions in Jiangsu Province, China, from 2000 to 2020. The main findings were as follows: The interactive feedback between UCL and RCL transitions followed two paths. The first interactive feedback path was driven by the interaction of urban and rural factors, whereas the second was driven by the integrated management of urban and rural land. UCL and RCL transition witnessed a positive interactive feedback relation. Specifically, a 1% increase in UCL transition led to a 0.535% increase in RCL transition, and a 1% increase in RCL transition resulted in a 0.579% increase in UCL transition. The two aspects exhibited complex spatial interaction effects. The UCL transition in the subject city had positive and negative effects on the UCL and RCL transitions of neighboring cities, respectively. The RCL transition had positive effect on the RCL transition in neighboring cities. The key to regulation is to make the mutual feedback pathways unobstructed through innovative policies in terms of both direct and indirect regulation. This study contributes to advance research on LUT and provides scientific evidence for urban–rural integrated development.

A Case Study of Maritime Hydrogen Energy Development in Jiangsu Province in China

This study aims to develop a systematic review of hydrogen energy storage technologies and maritime applications, intending to present an international perspective on the matter. This study analyses the role of advanced storage methods in enabling renewable energy systems integration in coastal regions, using Jiangsu Province of China as an example. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was used as the research method. Data was obtained from research studies over the period 2015–2023. The analysis included a total of 96 papers from Web of Science, Scopus, IEEE Xplore, and ScienceDirect databases. Results show that Europe and East Asia led publications at the intersection of hydrogen storage and marine applications over the past decade. One of the main issues associated with maritime hydrogen adoption found in the dissertation is related to the mismatch between technological readiness levels and commercial maturity. Findings indicate promise for fuel cell integration with ships, ports, offshore wind farms, and other coastal transport sectors. However, the realization of the project depends on infrastructure development, policy support, and viable business models tailored to the marine environment. Focused demonstration projects and public-private collaboration can further progress towards robust hydrogen-based energy storage ecosystems in suitable regions like Jiangsu and beyond.

Institutional credibility and land investment: Evidence from new‐round land certification program in China

AbstractThe article examines the impact of the credibility of land institutions on households' land investment in the context of the new‐round land certification program in China. Specifically, we first build a theoretical framework differentiating effects of households' perceived credibility regarding land use right, transfer right and mortgage right on investment. Then, a two‐step control function (2SCF) approach which controls for the endogeneity of households' perceived credibility is applied to the data collected from 487 households in Jiangsu province of China in 2017. Results show that households' perceived credibility of land transfer right has a significantly positive effect on both households' labor‐intensive and capital‐intensive investment. Credibility of land mortgage right has a significantly negative effect on households' capital‐intensive investment. However, credibility regarding land use right does not significantly affect households' land investment we focused on. Policies strengthening land transfer right credibility, improving land mortgage right and encouraging households to apply credits to farm activities, may play an important role in enhancing soil‐improving land investment.

The current clinical landscape of neonatal respiratory failure in Jiangsu Province of China: patient demographics, NICU treatment interventions, and patient outcomes

IntroductionNeonatal respiratory failure (NRF) is a serious condition that often has high mortality and morbidity, effective interventions can be delivered in the future by identifying the risk factors associated with morbidity and mortality. However, recent advances in respiratory support have improved neonatal intensive care units (NICUs) care in China. We aimed to provide an updated review of the clinical profile and outcomes of NRF in the Jiangsu province.MethodsInfants treated for NRF in the NICUs of 28 hospitals between March 2019 and March 2022 were retrospectively reviewed. Data collected included baseline perinatal and neonatal parameters, NICU admission- and treatment-related data, and patient outcomes in terms of mortality, major morbidity, and survival without major morbidities.ResultsA total of 5548 infants with NRF were included in the study. The most common primary respiratory disorder was respiratory distress syndrome (78.5%). NRF was managed with non-invasive and invasive respiratory support in 59.8% and 14.5% of patients, respectively. The application rate of surfactant therapy was 38.5%, while that of neonatal extracorporeal membrane oxygenation therapy was 0.2%. Mortality and major morbidity rates of 8.5% and 23.2% were observed, respectively. Congenital anomalies, hypoxic-ischemic encephalopathy, invasive respiratory support only and inhaled nitric oxide therapy were found to be significantly associated with the risk of death. Among surviving infants born at < 32 weeks of gestation or with a birth weight < 1500 g, caffeine therapy and repeat mechanical ventilation were demonstrated to significantly associate with increased major morbidity risk.ConclusionOur study demonstrates the current clinical landscape of infants with NRF treated in the NICU, and, by proxy, highlights the ongoing advancements in the field of perinatal and neonatal intensive care in China.

Enhancing Predictive Maintenance in Water Treatment Plants through Sparse Autoencoder Based Anomaly Detection

The deployment of Machine Learning (ML) for improving Water Treatment Plants (WTPs) predictive maintenance is investigated in the present article. Proactively detecting and fixing functional difficulties which might cause catastrophic effects has historically been an endeavour for reactive or schedule-based maintenance methods. Anomaly Detection (AD) in WTP predictive maintenance frameworks is the primary goal of this investigation, which recommends a novel approach based on autoencoder (AE)-based ML models. For the objective of examining high-dimensional time-series sensor data collected from a WTP over a long time, Sparse Autoencoders (SAEs) are implemented. The data collected involves an array of operational measurements that, evaluated together, describe the plant's overall performance. With the support of the AE, this work aims to develop a practical framework for WTP operation predictive maintenance. Anomalies are all system findings from testing that might result in flaws or malfunctions. The research article analyses January and July 2023 WTP data from Jiangsu Province China. The AE paradigm had been evaluated using F1-scores, recall, accuracy, and precision. SAE has substantially improved AD functionality.

Street ballet in the context of population contraction: A case study of Dongda Street in Rugao City

Most existing studies on shrinking cities focus on identifying and characterizing population contraction at the city scale and lack an in-depth exploration of the mechanisms of population contraction and daily life scenarios at the street scale. To fill this gap, this study employed semi-structured interviews and participant observation to analyze the street vitality and mechanisms of operation of Dongda Street in Rugao County of Jiangsu Province in China. The study found the following. First, the interspersed urban renewal has allowed residents to retain their original lifestyles and time-space routines, and they continue to enact an endogenous street ballet. Second, new residents gradually develop new lifestyles and time-space routines in the streets, showcasing an exogenous street ballet. Third, both groups jointly perform hybrid street ballets in their daily lives through close public interactions. These findings suggest that while Dongda Street is an aging neighborhood, the survival of the original street pattern and old buildings has allowed the neighborhood to retain its historical flavor. Additionally, the moving in of creative industries and merchants injects new vitality into the neighborhood. These findings examine daily street life in the context of population contraction and help break the stereotypes of population contraction.

BESOINS ET DÉFIS D’INTÉGRATION POUR UNE TRANSFORMATION VERTE ET INTELLIGENTE DE L’INDUSTRIE PORTUAIRE BASÉE SUR DES DONNÉES MULTI-SOURCES

This research explores the integration needs and challenges for achieving green and smart transformation in the port industry, leveraging multi-source data and geographic information technology. The study utilizes comprehensive data, including information from the National Enterprise Credit Information Publicity System, the National Catalogue Service for Geographic Information, and road network maps of Jiangsu Province in China. Geographical analysis methods, such as weighted kernel density estimation and standard deviation ellipse analysis, are employed to identify spatial distribution patterns and changes in the port and shipping service industry. The results indicate a spatial distribution pattern with weak expansion from the center, along the "northwest-southeast" direction. Challenges such as decentralized management and competition for interests hinder port integration for sustainable development. By understanding the spatial dynamics, policymakers can make informed decisions for a greener, smarter, and more efficient port sector.

Designing a Reverse Logistics Network for End-of-Life Vehicles in an Uncertain Environment

The strategic development of reverse logistics networks is crucial for addressing the common challenge of low recovery rates for end-of-life vehicles (ELVs) in China. To minimize the total cost of the reverse logistics network for ELVs, this paper proposes a mixed-integer linear programming (MILP) model. The model considers the recycling volume of different vehicle types, facility processing capacity, and the proportions of parts and materials. Building on this foundation, a fuzzy mixed-integer nonlinear programming (FMINLP) model is developed to account for the inherent uncertainty associated with recycling volumes and facility processing capacities. The model was solved using Lingo, and its effectiveness was validated using Jiangsu Province of China as a case study, followed by a sensitivity analysis. The results indicate that dismantling and machining centers incur the highest processing costs. Variations in recycling volume and facility handling capacity significantly impact total costs and site selection, with the former having a more pronounced effect. Increasing facility processing capacity effectively increases the recovery rate. Moreover, a higher confidence level corresponds to higher total costs and a greater demand for facilities.

Isolation and genomic characterization of chicken infectious anemia virus in Jiangsu province of China during 2020-2022.

As an immunosuppressive disease virus, chicken infectious anemia virus (CIAV) mainly infects chickens, causing aplastic anemia and systemic lymphoid tissue atrophy. In recent years, the prevalence of CIAV in the poultry industry globally has caused huge economic losses. In this study, a total of 223 clinical samples, including anal swabs, tissues, blood, and vaccines, were collected from 19 broiler farms or breeding companies in Jiangsu province, with symptoms of significant anemia and immunosuppression during 2020-2022. Among them, 75 samples (75/223, 33.6%) were positive for CIAV in polymerase chain reaction (PCR) test, and 20 CIAV strains were successfully isolated. The phylogenetic trees of the 20 isolates and 42 CIAV strains deposited in GenBank formed four distinct groups (A-D). And the isolates mainly belonged to Group A but with high genetic diversity. Analysis for VP1 indicated that these isolates possess key characteristics of highly pathogenic strains. Meanwhile, VP2 and VP3 were much conserved with much fewer mutations compare to VP1. The above epidemiological study of CIAV provides novel insights into molecular characterization of CIAV and lays the foundation for developing efficient strategies for control of CIAV in China.

Application of integrated geophysical techniques in geothermal exploration in Binhai County, Jiangsu Province

AbstractIntegrated geophysical technology is a necessary and effective means for geothermal exploration. However, integration of geophysical technology for large‐scale surveys with those for geothermal reservoir localization is still in development. This study used the controlled source audio‐frequency magnetotelluric method technology for large‐scale exploration to obtain underground electrical structure information and micromotion detection technology to obtain underground wave velocity structure information. The combination of two detection technologies was used for local identification of geothermal reservoirs. Further, auxiliary correction and inversion constraint were implemented through the audio magnetotelluric sounding technology for maximum authenticity restoration of the near‐ and transition‐field data. Through these technology improvements, a geothermal geological model was established for the Binhai County of Jiangsu Province in China and potential geothermal well locations were identified. On this basis, a geothermal well was drilled nearly 3000 m deep, with a daily water volume of over 2000 m3/day and a geothermal water temperature of 51°C at the well head. It is found that predictions using the above integrated geophysical exploration technology are in good agreement with the well geological formation data. This integrated geophysical technology can be effectively applied for geothermal exploration with high precision and reliability.

Research on Problems and Countermeasures of Online Home Office of Enterprise Employees under the COVID-19 Epidemic

Online home office refers to a new type of office model in which the public uses a network system to perform and process work tasks at home in specific circumstances. During the COVID-19, employees’ online home office work provided guidance for enterprises’ resumption of work and production. This mode can provide more time for production work, balance employees’ work and life, and improve work efficiency to a certain extent, but still exposed some problems. On the basis of introducing the concept of online home work for enterprise employees and the literature review, this paper mainly adopts the questionnaire survey and video interview method, and distributes questionnaires to employees of small and medium-sized enterprises in Jiangsu Province of China from November 8, 2022 to March 8, 2023. 304 effective questionnaires and descriptive responses from three interviewees were returned. With processing the data, independent variables, such as difficult to achieve physical management, immature enterprise security technology, reduced communication among employees, reduced enterprise cohesion, and imperfect legal system and dependent variables worked from home online are significantly correlated at the 0.01 level. The paper analyzes the problems existing in online home work for enterprise employees, and proposes management suggestions and countermeasures to solve the problems in online home work practice for enterprise employees.

Exploring the Effect of Psychological Interventions on Anxiety and Depression in Adolescents based on Behavior Change Wheel Theory.

Anxiety is a common mental health problem among adolescents that substantially increases the risk of anxiety disorder. Depression in adulthood and is a high-risk factor leading to suicide. We aimed to explore effective anxiety intervention methods in view of the annual rising detection rate of anxiety in adolescents. We enrolled 150 volunteers with mild anxiety or above (anxiety scale≥50 points) from 1015 adolescents between March and May 2023 in four communities in Shenyang, Liaoning Province and Nantong, Jiangsu Province in China. The participants were randomly divided into the experimental and control groups, comprising 73 and 74, respectively. The experimental group was given 2-month psychological intervention based on behavior change wheel (BCW) theory, whereas the control group was given no intervention. The average anxiety score of the participants was 46.57 ± 14.19, with 40.4% having anxiety symptoms. Anxiety was statistically correlated with self-evaluation of physical condition, family relationship, and grades (P < 0.05). The depression and anxiety score of the experimental group was significantly lower than that of the control group (P < 0.001). Anxiety has become a common phenomenon among adolescents. Self-evaluation of physical condition, family relationship, and grades are the focus of intervention for individuals with anxiety. The intervention method proposed in this study can effectively reduce the level of anxiety and depression in adolescents, providing a new perspective for formulating anxiety intervention strategies for adolescents.

Untangling pathways of risk factors associated with hypertension among dysglycemia adults in eastern China: a structural equation model approach.

Using structural equation model (SEM) to test a conceptual model of pathways of developing hypertension among dysglycemia (IFG and T2DM) adults in Eastern China, emphasizing the unique mediation effect of insulin resistance and obesity on the relationship between modified/unmodified factors and hypertension. Participants with dysglycemia (n = 10,401) were extracted from the survey of Chronic Disease and Risk Factor Surveillance in Nanjing, the capital of Jiangsu Province in China. Dietary patterns were identified by using principal component analysis (PCA). SEM was employed to evaluate multiple pathways of hypertension among participants with IFG and T2DM. Three dietary patterns were derived using PCA. The tuber animal food pattern (OR = 0.825, 95% CI 0.723-0.940) and the balanced food pattern (OR = 0.812, 95% CI 0.715-0.922) were negatively associated with hypertension, while the Chinese rural food pattern (OR = 1.163, 95% CI 1.019-1.328) was positively associated with hypertension. The best SEM model showed that BMI (0.140), smoking (0.048) and Chinese rural food pattern (0.022) positively associated with hypertension; while tuber animal food pattern (- 0.025) had a negative direct effect on hypertension. Notably, insulin resistance could mediate the link between lifestyles (smoking and dietary patterns) and hypertension. Accordingly, we emphasized the importance of lifestyle intervention, mainly including obesity management, choosing healthy diets and decreasing smoking control, which may profoundly benefit this high-risk group among Chinese population.

TIRPnet: Risk prediction of traditional Chinese medicine ingredients based on a deep neural network

Ethnopharmacological relevanceTraditional Chinese medicine (TCM) has a history of over 3000 years of medical practice. Due to the complex ingredients and unclear pharmacological mechanism of TCM, it is very difficult to predict its risks. With the increase in the number and severity of spontaneous reports of adverse drug reactions (ADRs) of TCM, its safety has received widespread attention. Aim of the studyIn this study, we proposed a framework based on deep learning to predict the probability of adverse reactions caused by TCM ingredients and validated the model using real-world data. Materials and methodsThe spontaneous reporting data from Jiangsu Province of China was selected as the research data, which included 72,561 ADR reports of TCMs. All the ingredients of these TCMs were collected from the medical website and correlated with the corresponding ADRs. Then, a risk prediction model was constructed based on a deep neural network (DNN), named TIRPnet. Based on one-hot encoded data, our model achieved the optimal performance by fine-tuning some hyperparameters. The ten most commonly used TCM ingredients and their ADRs were collected as the test set to evaluate their performance as objective criteria. ResultsTIRPnet was constructed as a 7-layer DNN. The experimental results showed that TIRPnet performs excellently in all indicators, with a sensitivity of 0.950, specificity of 0.995, accuracy of 0.994, precision of 0.708, and F1 of 0.811. ConclusionsThe proposed TIRPnet owns the ability to predict the ADRs of a single TCM ingredient by learning a large number of TCM-related spontaneous reports, which can help doctors design safe prescriptions and provide technical support for the pharmacovigilance of TCM.

Research on the village layout optimization in China's developed areas based on daily life circles.

Public service facilities are the basic material carrier of social services. It is of great significance for the operation of social justice and the improvement of residents' wellbeing. In the process of rapid urbanization, the demand for traffic convenience and diversity of public service facilities in rural areas has been further improved. Since the sudden outbreak of the COVID-19 epidemic, it is more necessary to meet the public service needs of human daily life within a certain space. The huge gap between urban and rural infrastructures, human living conditions, and supporting public services such as education, health, and culture has become a key bottleneck constraining the integration of urban and rural areas. It is appropriate to focus on the requirements for the construction of daily life circles and prioritize the satisfaction of villagers' increasing demand for public services in regions characterized by high levels of urban-rural integration. The behavior preference of public service facilities significantly affects the choice of residential areas. The existing research on village layout optimization focused on the spatial pattern, landscape morphology, influencing factors, and other contents. To some extent, the preference for equalization of public services in the context of urban-rural integration has been ignored. Uneven distribution and low utilization of public service facilities in villages resulted in an inability to adapt spatially and functionally in response to the renewal of urban-rural relations. Taking a highly developed urban and rural integration area named Wuxi City of Jiangsu Province in China as an example, this paper combines the current situation of public service facility allocation and the transport situation of residents in rural areas to build a life-circle system of different levels. On this basis, combined with the optimization goal of public service facilities and the constraints of agglomeration coverage, we try to determine the village layout optimization scheme under the construction of both the daily life circle and location-allocation model. The study can effectively adjust the allocation of public resources in rural areas and solve the problems of irrational village layout leading to long travel distances. It can also serve as a reference for improving the situation of lagging rural public service functions and promoting urban-rural equalization.

Polycyclic aromatic hydrocarbons in coastal rivers in Jiangsu Province, China: Spatial distribution, source apportionment and human impacts

The ocean is the ultimate sink for all pollutants, rivers are important channels for land-based pollutants to enter the oceans. Riverine transport of polycyclic aromatic hydrocarbons (PAHs) to coastal seas in China poses environmental threats. This study examined the spatial and temporal distribution of PAHs in coastal rivers in Yancheng City in Jiangsu Province of China, with the aim of identifying their likely sources, concentrations, and influencing factors. Surface sediments were taken from the Xinyanggang River (XYR) and the Sheyang River (SYR). The concentrations of Ʃ16PAHs in river sediments were measured on average 477.05 ng/g dry weight (dw), with values varying from 2.18 to 6351.42 ng/g, indicating a moderate pollution level, with a dominance of high molecular weight (HMW) PAHs. The XYR exhibited significantly higher PAHs concentrations compared to the SYR. The key sources of PAHs were vehicle emissions (47.87%), coal and natural gas combustion (35.07%). Geographically weighted regression and redundancy analysis linked PAHs pollution to distinct land use patterns and socioeconomic indicators, highlighting urban land as the major contributor, driven by high urbanization and industrialization (70.91%). In XYR, industrial activities and transport emissions were major contributors, while in SYR, agricultural activities predominantly influenced PAHs pollution. Urgent mitigation strategies are needed to reduce PAHs pollution in river sediments, mitigating ecological and human risks associated with these contaminants.

Design an Exercise Training to Enhance the Ability of Flat Turn Performance in Latin Dance

Background and Aim: The purpose of this research is to study muscle strength using the Flat Turn program and to use the experimental results of the Flat Turn program in teaching a sample group of students at Bampu Senior High School Jiangsu Province China Number 40 people divided into A control group of 20 people and an experimental group of 20 people trained with the Fla program. Turn, while the control group trained with normal dance moves for 8 weeks. Summary of the results of the research. Materials and Methods. 1. Bringing books to ask for the country of Experts, 2 Site preparation and control group appointment to explain the data collection method, 3. Starting The experiment with the exercise and the control group practicing the normal exercises, 4. Collecting exercise test data of both groups of abdominal muscles before training, 5. Both groups began Training for 8 weeks, 6. A data acquisition test was performed in the second week of, and 7. Data acquisition tests were performed, in the second week, the fourth week, the sixth week, and the eighth week. Results: 1. The next research must increase the sample size. 2. The next research will be to find a program that is suitable for dancing. Dance more than this. 3. The next research must have a method for selecting a sample group that is balanced and has more quality than this. Conclusion: The results of the research found that using the Program flat turn for teaching dance with a total of 6 skills. When doing the research, it was possible to use all 6 skills. skills to teach dancing activities because from research it was found that each skill developed sequentially from before the test until the experiment and was measured and evaluated in week 2, week 4, and week 8. The results showed that there was a sequential development of each skill can be concluded that the research results in using the program. Flat turn has a total of 6 skills through research and once the experiment is complete, it can be used to teach Latin dance activities in the future.

HPA1-29w Genotyping and the Foundation for the Platelet Apheresis Registry in Jiangsu Province of China by MassARRAY Spectrometry

Introduction: This study aimed to investigate the allele frequencies of the human platelet antigens (HPA) HPA-1-29w system in Jiangsu (China) and establish the platelet apheresis registry in blood donors. Methods: HPA genotyping was performed using the MassARRAY iPLEX® platform. Allele and genotype frequencies were estimated by direct counting and tested for Hardy-Weinberg equilibrium. The transfusion mismatch probability was calculated for every HPA specificity. Results: The HPA allele frequencies in the Jiangsu Han population of HPA-1b, -2b, -3b, -4b, -5b, -6b, -11b, -15b, and -21b were 0.0055, 0.0530, 0.4116, 0.0015, 0.0155, 0.0162, 0.0003, 0.4683, and 0.0070, respectively, in which a heterozygote of HPA-11a/b was first detected in China. Only allele a was detected for HPA-7-10w,-12-14w,-16-20w, and -22-29w quasi-systems. The highest mismatch rate of HPA genes in 1,640 platelet donors was the HPA-15 system, followed by the HPA-3 system with a rate of 37.4% and 36.71%, respectively. Conclusion: China’s largest-scale platelet registry of HPA-1-29w has been explored. The MassARRAY platform may help found the platelet apheresis registry which would be useful to provide matching platelets and lead to a more accurate, effective, and safe transfusion for patients with platelet therapy.

The impact of problematic mobile phone use and the number of close friends on depression and anxiety symptoms among college students.

Psychological problems often occur in college students, with the most common ones being depression and anxiety symptoms. Exploring the risk factors that influence depression and anxiety symptoms in college students is essential to promote their physical and mental health. This study aimed to investigate the independent and interaction effects of problematic mobile phone use (PMPU) and the number of close friends (NCFs) on depression and anxiety symptoms and the comorbidity of these symptoms among college students. A cross-sectional survey was conducted in Huainan, Anhui Province, and Suzhou, Jiangsu Province in China from October to December 2022. Data from 7,617 college students were collected. The Patient Health Questionnaire and Generalized Anxiety Disorder-7 were used to evaluate depression and anxiety symptoms. The PMPU data were collected by the Mobile Phone Addiction Type Scale. Multinomial logistic regression models were performed to examine the associations of PMPU and NCFs with depression and anxiety symptoms and their interaction effects. PMPU and lack of close friends significantly increased the risk of depression and anxiety symptoms and the comorbidity of these symptoms in college students (p < 0.001). In addition, the effects of PMPU and lack of close friends on depression and anxiety symptoms in college students were interactive (p < 0.001). No significant sex differences were found. PMPU and lack of close friends are important risk factors for depression, anxiety, and the comorbidity of these symptoms in college students in China.

Assessment of Air Pollution Changes during COVID-19 Pandemic in Jiangsu Province of China from 2018 to 2021

Assessment of Air Pollution Changes during COVID-19 Pandemic in Jiangsu Province of China from 2018 to 2021