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ObjectiveTo understand the internet media information of COVID-19 in Shanghai in 2022， to provide evidence for health administration departments to respond to public health emergencies， and to establish a comprehensive public health media surveillance system.MethodsData on internet media information and the local COVID-19 epidemic data in Shanghai from January 1 to June 30， 2022 were collected and analyzed.ResultsA total of 90.197 3 million pieces of internet media information were monitored. The top four sources of the information were Weibo （36.84%）， short videos （26.19%）， internet media （14.47%）， and forums （13.31%）. The variation trend of daily internet media surveillance information was identified with the number of newly reported cases per day， and a correlation was found （r＝0.770. After the seven-day moving average，r＝0.796）. Frequent keywords included Shanghai， cheer up， nucleic acid， new cases， local， asymptomatic， prevention and control， gratitude， isolation， epidemic prevention， supplies， pandemic response， patient， seeking help， and clearing the cases. Within the information on Weibo， in addition to netizens in Shanghai （7 823 100） who were highly concerned about the pandemic， netizens from Beijing （2 749 100）， Guangdong Province （2 352 300）， Jiangsu Province （2 189 100） and Zhejiang Province （1 532 100） also posted a relatively high amount of information related to COVID-19 in Shanghai.ConclusionThe outbreak of major infectious diseases triggers significant online activity， and platforms such as Weibo and short video platforms play crucial roles in disseminating internet media information. Weibo， short videos etc. are important platforms for current internet media information. Strengthening media information monitoring and analysis， paying close attention to hot events， taking timely response measures and actively engaging in risk communication contribute to the response and management of public health emergencies.

To improve the efficiency of distribution network repair， an optimal stationing point location method for distribution network repair is proposed based on feeder fault prediction by analyzing the power grid operation data， historical fault data and grid structure distribution in a region of Taizhou， Zhejiang province. Firstly， feeders in the target area are reasonably divided based on the fault prediction level. Secondly， an artificial immune optimization algorithm is used and all the constraints are considered to conclude the optimal location based on the geographic characteristics of the feeders and the results of the feeder fault prediction. Finally， it is proved by an example that the proposed method is effective in improving repair efficiency and can provide a strong guarantee for the rapid post-fault restoration of power supply.

With the rapid development of artificial intelligence technology, its application in education has become increasingly widespread, especially in English teaching in colleges and universities. Using artificial intelligence technology to build an intelligent teaching mode can effectively improve the quality of teaching and students’ learning efficiency. The study adopts Bayesian algorithm and Bayesian-based learning tracking model (BKT and BF-BKT) as the main methods to optimize the teaching mode by analyzing learners’ mastery of knowledge points and behavioral performance. The results show that the maximum response time of the model is only 1038.59 milliseconds when the number of users is 120, proving the model’s efficiency in handling large-scale data. In addition, the intelligent teaching model positively impacted both teacher-student interaction and student learning ability. The teacher speech ratio decreased from 80.26% to 62.53%, and the students’ autonomy and participation increased significantly; the mean value of students’ learning ability in independent learning and critical thinking exceeded 4.00. The application of AI technology in teaching English in colleges and universities can significantly improve the quality of teaching and students’ learning effect.

In this paper, the Herfindahl coefficient (HHI), intuitionistic fuzzy hierarchical analysis (IFAHP) and binary semantic evaluation methods are used to quantitatively measure the degree of industry-academia integration in Guangdong, Hong Kong and Macao and to explore the level hierarchy of the degree of industry-academia integration. The factors influencing the behavior of industry-academia cooperation between enterprises and higher vocational colleges were analyzed by selecting the employment of H, A and X institutions in the past five years. The results show that the level of industry-academia integration in the Greater Bay Area is 0.6833, and the obstacles in communication channels between enterprises and higher education institutions are the biggest influencing factors. The industrial structure deviation is 28.9, which indicates that there is a discrepancy between the university specialty settings and market demand in the region. The optimization countermeasures proposed in this paper have a positive significance in promoting the connection between local higher education and industry.

Accurately grasping the comprehensive cost-benefit and influencing factors of various marine development projects is of great significance to the promotion of high-quality marine development. This work screened and constructed the performance audit evaluation index system of comprehensive cost-benefit of marine development projects from the four aspects including society, economy, resources, and environment. The entropy weight set pair analysis (SPA) was used to audit and evaluate the comprehensive cost-benefit of 15 marine development projects during the construction and operation period. The back propagation (BP) neural network model was used to test the results. The main influencing factors were analyzed by the grey relational analysis (GRA) model. It was found that the comprehensive cost-benefit performance audit evaluation index of the six projects of marine protected area and offshore wind power were higher than the other nine projects of mariculture, sewage dumping, and port industry. The main influencing factors were economic net income, loss of wetland ecological service value, environmental pollution prevention and control cost, new addition employment rate, etc. The countermeasures suggestions were put forward.

An identification method for weak links in distribution network feeders based on RF （random forest） and LSTM （long and short-term memory network） is proposed to enhance the active defense of the distribution networks against extreme weather and improve power supply reliability. First， the short-time prediction of power flow under extreme weather is carried out based on historical operation data using LSTM， and the prediction results and weather forecast information are used as input parameters of the fault prediction model. Afterward， the feeder fault prediction model of the distribution networks under extreme weather is constructed using the RF algorithm， and the historical data are learned and trained. Finally， the short-term power flow data， meteorological parameters， and grid frame data obtained from the LSTM prediction are input into the RF prediction model and calculated. The fault probability of the distribution network feeders is predicted， and their weakness is classified to identify the weak links in the distribution grid feeders under extreme weather. The simulation results show that the method can accurately determine the weak links in distribution network feeders and can serve as a practical reference for improving distribution networks' active operation and maintenance capability.

ObjectiveTo determine the current status and characteristics of tuberculosis （TB） registration and treatment in Kashgar， and to provide scientific evidence for targeted prevention and control measures in future.MethodsKashgar registered TB cases information in 2011 to 2020 was exported from the National Tuberculosis Management Information System. Descriptive epidemiological analysis was conducted using Stata 12.0.ResultsFrom 2011 to 2020， number of Kashgar registered TB patients showed rising trend， followed by a falling one. Average proportion of annual decline in registered TB incidence was 40.48% from 2018 to 2020. From 2011 to 2016， number of registered TB patients in women was always higher than that in men， with a gender ratio （male ： female） of about 0.90. In 2017， the gender ratio was 1.00. From 2018 to 2020， the gender ratios were 1.05， 1.20， and 1.12， respectively. Moreover， number of registered TB cases increased with age （χ2=547.79， P

ObjectiveBased on the investigation of the core capacity development of health emergency response of Shanghai disease prevention and control institutions after the COVID-19 pandemic， to analyze the shortcomings of health emergency response capacity of Shanghai disease prevention and control institutions， and to put forward suggestions to improve the core capacity of Shanghai's disease prevention and control system in the face of public health emergencies.MethodsUsing questionnaire surveys， investigations and evaluations were conducted on the emergency system development， epidemic monitoring and risk assessment， emergency team manpower and equipment， and actual response to COVID-19 in 16 district-level disease prevention and control institutions in Shanghai.ResultsThe overall public health emergency response capacity building of the district-level disease control agencies in Shanghai is relatively good， and the effect of capacity building has been proven during the handling of the new coronavirus. But at the same time， it also exposed some specific problems such as imperfect system construction， lack of emergency personnel and materials， insufficient on-site handling capabilities of personnel， and uneven allocation of emergency personnel and materials among different agencies.ConclusionShanghai district-level disease control should focus on the specific problems， such as strengthening the development of health emergency system， improving the human resources and material reserves of the emergency teams， and optimizing the laboratory testing ability， to further improve the core health emergency capacity of Shanghai disease control system.

ObjectiveTo determine the epidemiological characteristics of infectious disease related public health bud-events in Shanghai and assess the effects of bud-event surveillance， so as to provide scientific evidence for improving the surveillance system.MethodsSurveillance data of infectious disease related public health bud-events were collected from 16 districts of Shanghai from 2017 through 2020. Then the data were analyzed and compared with infectious disease related public health emergencies during the same period.ResultsA total of 6 376 infectious disease related public health bud-events were documented in Shanghai in 2017‒2020， which involved 29 792 cases. There were two seasonal peaks， April through June and November through December. Clustered events accounted for 38.85%， mainly caused by chickenpox （14.10%）， hand，foot and mouth disease （11.17%） and norovirus-associated infectious diarrhea （6.54%）. The 36.73% of the bud-events occurred in school settings， which involved 24 718 cases （accounting for 83.00% of all cases）. Median time duration between onset date of the first cases and report date of the events was 4 days， and median duration of the events was 14 days， demonstrating positive correlation. In addition， all the infectious disease related public health emergencies（n=77） from 2017 through 2020 were classified as common events or unclassified. The proportion of infectious disease related public health emergencies in the bud-events during the same period was 1.21%， and that of infectious disease related public health emergencies in the bud-events in school settings was 2.48%.ConclusionTwo peaks of infectious disease related public health bud-events are observed in spring as well as autumn and winter in Shanghai from 2017 through 2020. Schools should be prioritized for control and prevention of infectious diseases. Bud-event surveillance system has been contributable to the prevention and control of public health emergencies， especially in the early detection， reporting and control of clustered events in schools. Bud-event surveillance system should be further improved and assessed comprehensively.

A Lotka-Volterra type predator-prey system with Allee effect on the predator species and density dependent birth rate on the prey species is proposed and studied. For non-delay case, such topics as the persistent of the system, the local stability property of the equilibria, the global stability of the positive equilibrium are investigated. For the system with infinite delay, by using the iterative method, a set of sufficient conditions which ensure the global attractivity of the positive equilibrium is obtained. By introducing the density dependent birth rate, the dynamic behaviors of the system becomes complicated. The system maybe collapse in the sense that both the species will be driven to extinction, or the two species could be coexist in a stable state. Numeric simulations are carried out to show the feasibility of the main results.

The extinction property of a two species competitive stage-structured phytoplankton system with harvesting is studied in this paper. Several sets of sufficient conditions which ensure that one of the components will be driven to extinction are established. Our results supplement and complement the results of Li and Chen [Extinction in periodic competitive stage-structured Lotka-Volterra model with the effects of toxic substances, J. Comput. Appl. Math., 2009, 231(1), 143-153] and Liu, Chen, Luo et al. [Extinction and permanence in nonautonomous competitive system with stage structure, J. Math. Anal. Appl., 2002, 274(2), 667-684].

Solar chimney (SC) is an effectively practical way to enhance building natural ventilation through thermal buoyancy force, which is induced due to the temperature difference between indoor and outdoor air temperatures. The ventilation performance of solar chimney directly depends on the heat flux distributions and values in the absorbed plate. Recently, many researches have been done on the thermal performance of solar chimneys under uniform heat flux. However, the uniform heat flow distribution cannot reflect the uneven characteristics of the solar radiation. There are few studies focused on the flow characteristic and thermal performance of solar chimneys under non-uniform heat flux distributions. In this paper, a two-dimensional numerical model of solar chimney integrated building is firstly established to explore the natural ventilation performance under non-uniform heat flux distributions. The numerical simulation is conducted to predict the flow and heat transfer characteristics in the room as well as in solar chimney. Subsequently, the effects of the location of the vent are analyzed to evaluate the performance of the solar chimney system. Finally, a comparison between the ventilation performance of solar chimney under the uniform heat flux and the non-uniform heat flux distributions is presented, and the thermal and flow structures of the solar chimney integrated building are further illustrated simultaneously. Research results show that the ventilation performance of solar chimney is closely related to its heat flux distribution, and the inhomogeneity of the heat flux of solar chimney will decrease the ventilation performance of the building. In addition, the position of the vent have highly influence on the flow structure and thermal performance for the solar chimney as well as the building. This paper will provide theoretical basis and technical approach for the improvement of the performance of the solar chimney, especially for the nonuniform heat flux distribution.

This study investigated the effect of radiofrequency hyperthermia combined with chemotherapy in the treatment of advanced ovarian cancer.

China and Russia are not only two major influential power in the world, but also the two largest economic transition countries. As a neighboring country, the cooperation of economic and trade between two sides not only has obvious geographical advantages, but highly complementary. With the in-depth cooperation in trade and economic of two countries,more and more direct cooperation between cities has taken place. In the past years, due to geographical advantages, the cooperation mostly took place in border cities, such as Heihe City and Blagovichensk City. With the new cooperation trend between China and Russia, more and more developed city of two countries begin to make cooperation, it’s a new cooperation phenomenon that different from previous cooperation between border cities. In the process of cooperation, there are advantages and mutual interests, as well as difficulties and conflicts. Therefore the management of the cooperation of these cities also need innovation method. Therefore, it is urgent to analyze the problems and make research in this field. The previous researcher mainly focus on the analysis of the cooperation and management strategy between border cities of two countries which has been fully studied. However, there is less even almost no research analysis the current new cooperation situation between the economic center cities of two countries, including the problems exiting, further cooperation analysis, and future development trend as well as innovation management method to well promote the cooperation of them.

Pediatric brain and spinal cancers are collectively the leading disease-related cause of death in children; thus, we urgently need curative therapeutic strategies for these tumors. To accelerate such discoveries, the Childrens Brain Tumor Network (CBTN) and Pacific Pediatric Neuro-Oncology Consortium (PNOC) created a systematic process for tumor biobanking, model generation, and sequencing with immediate access to harmonized data. We leverage these data to establish OpenPBTA, an open collaborative project with over 40 scalable analysis modules that genomically characterize 1,074 pediatric brain tumors. Transcriptomic classification reveals universal TP53 dysregulation in mismatch repair-deficient hypermutant high-grade gliomas and TP53 loss as a significant marker for poor overall survival in ependymomas and H3 K28-mutant diffuse midline gliomas. Already being actively applied to other pediatric cancers and PNOC molecular tumor board decision-making, OpenPBTA is an invaluable resource to the pediatric oncology community.