Analysis of a Typical Case of Meteorological Service in Tangpu Reservoir

The continuous rainy precipitation process from February to March in 2019 was selected to analyze the effect of meteorological service in Tangpu Reservoir basin,so as to sum up service experience and then lay a better foundation for subsequent services.In response to the rainy weather from December 2018 to early 2019,three rounds of flood discharge were carried out in Tangpu Reservoir.During February-March in 2019,the hit rate of short-term area rainfall forecast for Tangpu Reservoir was 80.0%.Compared with the median of forecast interval,the average absolute error was 7.6 mm,and the relative error was 32.7%.The large deviation in the forecast from March 27 to 28 was deeply analyzed,and it is found that the main reasons were excessive reliance on and trust in a single model,insufficient correction of the actual situation,and insufficient judgment of the nature of precipitation.For the future reservoir meteorological service,three aspects of thinking were put forward,such as further strengthening the sharing of hydrological and meteorological information,improving the forecasting ability,and deepening the research of runoff forecast models.

Mapping Climate Services for Disaster Risk Management: A Systematic Review and Research Gaps from a Policy Process Perspective

Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.

Survey on the Demand for Elderly Care Services of Community Residents in Beijing and Analysis of Influencing Factors

Objective: To investigate the current situation of the demand for geriatric care services of community residents in Beijing and analyze the influencing factors to provide a reference basis for meeting the demand for diversified and professional geriatric care services. Methods: A self-made questionnaire was used to randomly survey 1558 elderly individuals at community health service centers in 8 urban districts where elderly care centers were planned to be built. The influencing factors of the different characteristics of elderly care service needs from three aspects were analyzed using a dichotomous logistic regression model: predisposing, enabling, and, need factors. Results: 69.7% of the elderly required home care services, 22.8% wanted to get care services at elderly care centers, 15.9% wanted to get care services at nursing homes, 12.3% required community care services, and 7.4% didn’t know where to access care services. 68.5% of the elderly required care services for disabilities/semi-disabilities, 58.0% for dementia, 54.7% for common diseases, 34.9% for rehabilitation training, 33.0% for plumbing care, and 7.5% for hospice care. At the same time, there were urban- rural differences in the demand for elderly care services, with suburban elderly having a higher demand for care services than those living in urban areas (P < 0.05). The elderly’s demand for care services was mainly related to age, place of residence, and gender in the causative factors, mode of residence and physical condition among able factors, and mode of care services and care needs among need factors (P < 0.05). Conclusion: The demand for elderly care services was differentiated by factors including place of residence, age, and gender. It is crucial to accurately match the demand for elderly care services, innovate the mode of elderly care services, and improve the service quality to improve the elderly health service system.

Factors Associated with Overweight among Workers of the Ministry of Labor and Public Service in Benin in 2023

Introduction: The problem of excess weight is pandemic and affects the majority of nations, regardless of their level of development. However, the prevalence of overweight among workers in Benin is very poorly documented. To fill this gap, the present study aimed to determine the prevalence and factors associated with overweight among workers of the Ministry of Labor and Public Service (MTFP) in 2023 in Benin. Materials and Methods: This is a descriptive cross-sectional study with analytical purposes carried out from August 16 to December 17, 2023, among MINISTRY OF LABOR AND PUBLIC SERVICE staff. The variables studied were overweight, sociodemographic, occupational and dietary characteristics, lifestyle, anthropometric factors and family history of obesity. An exhaustive recruitment of workers meeting our inclusion criteria and a questionnaire survey was carried out. Data were analyzed using R 4.0.4 software. A bivariate analysis followed by a multivariable analysis made it possible to identify the factors associated with overweight at the p Results: In total, 379 workers were included in our study. The average age of the surveyed workers was 44.86 years ± 7.67 years, with 202 (53.30%) workers at least 45 years old. Men predominated with a number of 228 (60.16%). The prevalence of overweight was 63.32% (95% CI: [58.23 - 68.15]) and the associated factors after multivariate analysis were: female sex (ORa = 4.00;95% CI [2.11 - 7.76];p Conclusion: The prevalence of overweight is high among ministry of labor and public service workers. Education and awareness in the professional environment on the prevention and management of risk factors are essential for a long-term impact on a notable regression of this public health phenomenon.

Bacteriological Profile of Infections Encountered in a Pneumology Service in a Moderate-Income Country [Pneumology Department of CHU Cocody (Côte d’Ivoire)]

Introduction: Infections represent a real public health problem aggravating the morbidity and mortality of hospitalized patients. Methods: This was a retrospective study with descriptive purposes over a period of 05 years, in the Pneumology Department of the University Hospital of Cocody. Results: The average age in our population was 42 years. We observed a male predo- minance of 64.5%, with a sex ratio of 1.8. Medical history was dominated by HIV infection (23.5%), followed by tuberculosis (15.6%). Concerning lifestyle, smoking was found in 38% of cases. Symptoms progressed chronically in 80% of cases. An infectious syndrome was found in 75% of cases. Microbial culture was positive in 42% of cases. Pseudomonas aeruginosa and Klebsiella pneumoniae were encountered in 26.4% of cases each, followed by Echerichia coli in 10.4% of cases. Klebsiella pneumoniae in the first three years topped the list, but gradually. Pseudomonas aeruginosa maintained its leadership over the last three years. Pseudomonas aeruginosa isolates expressed a resistance rate of 9.8% to ceftazidime and 8.1% to imipenem;to aztreonam (36%), ticarcillin (33.3%) and levofloxacin. These strains were susceptible to fosfomycin (100%), mero- penem (96.6%) and amikacin (96%). For isolated strains of Entero- bacteria- ceae, resistance was observed about ticarcillin (83.3%) and amoxicillin clavula- nic acid (71.2%). Streptococcaceae showed resistance to tetracycline (69.2%) and erythromycin (50%). Over the years there has been an increase in re- sistance to amoxicillin-clavulanic acid ceftriaxone. The death rate was 14%. Conclusion: The bacterial profile of infections is dominated by germs respon- sible for nosocomial infection with significant mortality.

Stress perceptions of nurses serving in home healthcare services during the COVID-19 pandemic:A qualitative research

Objective:To investigate the stress perceptions of nurses serving in home healthcare services during COVID-19.Methods:This study was qualitative research with a phenomenological design.Data were collected and recorded through in-depth interviews with 6 nurses working in MuşState Hospital,Home Healthcare Services Unit using a form consisting of 12 questions on an online platform between May 2021 and July 2021.The audio recordings were transcribed by the researcher and content analysis was performed by creating codes,categories,and themes.Results:The interviews yielded 10 categories and 59 sub-codes.These codes were addressed under the theme of"COVID-19 pandemic".Under this main theme,nurses expressed the problems they experienced in issues such as stress,support mechanisms,and family and social problems during COVID-19.They mentioned that they experienced high stress in this process,as well as social isolation and negative thoughts of society about them and that they could not spare time for themselves and their families.Conclusions:Nurses working in home healthcare services frequently express negativities such as high stress,isolation from society,and increased workload.Therefore,actions should be taken to raise awareness of society on these issues,increase the number of personnel,conduct more research,and share the results with the public.

Forest use suitability:Towards decision-making-oriented sustainable management of forest ecosystem services

Management of forest lands considering multi-functional approaches is the basis to sustain or enhance the provi-sion of specific benefits,while minimizing negative impacts to the environment.Defining a desired management itinerary to a forest depends on a variety of factors,including the forest type,its ecological characteristics,and the social and economic needs of local communities.A strategic assessment of the forest use suitability(FUS)(namely productive,protective,conservation-oriented,social and multi-functional)at regional level,based on the provision of forest ecosystem services and trade-offs between FUS alternatives,can be used to develop management strategies that are tailored to the specific needs and conditions of the forest.The present study assesses the provision of multiple forest ecosystem services and employs a decision model to identify the FUS that sup-ports the most present and productive ecosystem services in each stand in Catalonia.For this purpose,we apply the latest version of the Ecosystem Management Decision Support(EMDS)system,a spatially oriented decision support system that provides accurate results for multi-criteria management.We evaluate 32 metrics and 12 as-sociated ecosystem services indicators to represent the spatial reality of the region.According to the results,the dominant primary use suitability is social,followed by protective and productive.Nevertheless,final assignment of uses is not straightforward and requires an exhaustive analysis of trade-offs between all alternative options,in many cases identifying flexible outcomes,and increasing the representativeness of multi-functional use.The assignment of forest use suitability aims to significantly improve the definition of the most adequate management strategy to be applied.

Use of Component Integration Services in Multidatabase Systems: A Feasible Solution for Integrating Academic Institutions or Commercial Industries

The book chapter is an extended version of the research paper entitled “Use of Component Integration Services in Multidatabase Systems”, which is presented and published by the 13th ISITA, the National Conference of Recent Trends in Mathematical and Computer Sciences, T.M.B. University, Bhagalpur, India, January 3-4, 2015. Information is widely distributed across many remote, distributed, and autonomous databases (local component databases) in heterogeneous formats. The integration of heterogeneous remote databases is a difficult task, and it has already been addressed by several projects to certain extents. In this chapter, we have discussed how to integrate heterogeneous distributed local relational databases because of their simplicity, excellent security, performance, power, flexibility, data independence, support for new hardware technologies, and spread across the globe. We have also discussed how to constitute a global conceptual schema in the multidatabase system using Sybase Adaptive Server Enterprise’s Component Integration Services (CIS) and OmniConnect. This is feasible for higher education institutions and commercial industries as well. Considering the higher educational institutions, the CIS will improve IT integration for educational institutions with their subsidiaries or with other institutions within the country and abroad in terms of educational management, teaching, learning, and research, including promoting international students’ academic integration, collaboration, and governance. This will prove an innovative strategy to support the modernization and large expansion of academic institutions. This will be considered IT-institutional alignment within a higher education context. This will also support achieving one of the sustainable development goals set by the United Nations: “Goal 4: ensure inclusive and quality education for all and promote lifelong learning”. However, the process of IT integration into higher educational institutions must be thoroughly evaluated, identifying the vital data access points. In this chapter, Section 1 provides an introduction, including the evolution of various database systems, data models, and the emergence of multidatabase systems and their importance. Section 2 discusses component integration services (CIS), OmniConnect and considering heterogeneous relational distributed local databases from the perspective of academics, Section 3 discusses the Sybase Adaptive Server Enterprise (ASE), Section 4 discusses the role of component integration services and OmniConnect of Sybase ASE under the Multidatabase System, Section 5 shows the database architectural framework, Section 6 provides an implementation overview of the global conceptual schema in the multidatabase system, Section 7 discusses query processing in the CIS, and finally, Section 8 concludes the chapter. The chapter will help our students a lot, as we have discussed well the evolution of databases and data models and the emergence of multidatabases. Since some additional useful information is cited, the source of information for each citation is properly mentioned in the references column.

Quick Web Services Lookup Model Based on Hierarchical Registration

Quick Web Services Lookup (Q-WSL) is a new model to registration and lookup of complex services in the Internet. The model is designed to quickly find complex Web services by using hierarchical registration method. The basic concepts of Web services system are introduced and presented, and then the method of hierarchical registration of services is described. In particular, service query document description and service lookup procedure are concentrated, and it addresses how to lookup these services which are registered in the Web services system. Furthermore, an example design and an evaluation of its performance are presented.Specifically, it shows that the using of attributionbased service query document design and contentbased hierarchical registration in Q-WSL allows service requesters to discover needed services more flexibly and rapidly. It is confirmed that Q-WSL is very suitable for Web services system.

Helicobacter Pylori Infection: Epidemiological, Clinical and Pathological Aspects in a Digestive Endoscopy Unit and the Pathological Anatomy Service of Parakou in Benin Republic

Introduction: Helicobacter pylori (Hp) infection is the most common bacterial infection in the world. World Health Organization has classified this bacterium as a Class I carcinogen. The objective of this work is to study the epidemiological, clinical and pathological aspects of Helicobacter pylori infection among adults in a digestive endoscopy unit and the pathological anatomy service of Parakou. Patients and Methods: This was a descriptive and analytical cross-sectional study conducted from January 2020 to September 2020 in the digestive endoscopy unit and pathological anatomy service at the Departmental University Hospital Center of Borgou. Patients aged 18 years and older, who had undergone a gastroscopy with biopsies and who gave their oral consent were included. Three antral biopsies and two fundic biopsies were performed. The search for Hp was done under an optical microscope after staining with hematoxylin eosin. Results: A total of 151 patients were included and 51.66% were infected with Hp. Their average age was 40.63 ± 15.32 years and the sex ratio was 0.9. Epigastric pain was the most reported symptom (71.01%). Endoscopically, the prevalence of erythematous gastropathy was 98.72%. The study of chronic Hp gastritis according to Sydney system had shown signs of activity in 100% of patients with Hp and glandular atrophy in 83.33% of them. Intestinal metaplasia and dysplasia accounted for 24.35% and 29.48% of cases, respectively. Factors associated with Hp infection were: absence of proton pump inhibitor intake prior to examination, absence of handwashing with soap and water before eating, erythematous aspect of gastritis on gastroscopy, absence of intestinal metaplasia of the fundus, active and chronic aspects of gastritis on histology. Conclusion: The frequency of Hp infection in hospitals among adults admitted to the Digestive Endoscopy Unit of Parakou is high. To reduce this prevalence, it will be necessary to act on the factors identified.

Last train timetable optimization for metro network to maximize the passenger accessibility over the end-of-service period

Purpose-This study aims to improve the passenger accessibility of passenger demands in the end-ofoperation period.Design/methodology/approach-A mixed integer nonlinear programming model for last train timetable optimization of the metro was proposed considering the constraints such as the maximum headway,the minimum headway and the latest end-of-operation time.The objective of the model is to maximize the number of reachable passengers in the end-of-operation period.A solution method based on a preset train service is proposed,which significantly reduces the variables of deciding train services in the original model and reformulates it into a mixed integer linear programming model.Findings-The results of the case study of Wuhan Metro show that the solution method can obtain highquality solutions in a shorter time;and the shorter the time interval of passenger flow data,the more obvious the advantage of solution speed;after optimization,the number of passengers reaching the destination among the passengers who need to take the last train during the end-of-operation period can be increased by 10%.Originality/value-Existing research results only consider the passengers who take the last train.Compared with previous research,considering the overall passenger demand during the end-of-operation period can make more passengers arrive at their destination.Appropriately delaying the end-of-operation time can increase the proportion of passengers who can reach the destination in the metro network,but due to the decrease in passenger demand,postponing the end-of-operation time has a bottleneck in increasing the proportion of passengers who can reach the destination.

The Prevalence of Heterozygous Familial Hypercholesterolemia among Adult Filipino Patients with Dyslipidemia at Universidad de Santa Isabel Health Services Department: An Observational Descriptive Prospective Study

Objectives: It is to determine the prevalence of familial hypercholesterolemia (FH) among adult Filipino patients with dyslipidemia at Universidad de Santa Isabel Health Services Department in one year. Methods: An observational descriptive prospective study involves Filipino patients, aged 19 years and older, with dyslipidemia. The Dutch Lipid Network (DLN) Criteria was used to diagnose FH. Prevalence data and categorical variables were expressed as percentages, while continuous variables were reported as mean and standard deviations. Results: 529 patients were included in the study. 302 were females, and 227 were males. 180 (34%) scored Unlikely, 100 (19%) scored Probable, 185 (35%) scored Possible, and 64 (12%) were classified under Definite Familial Hypercholesterolemia. Most of the patients diagnosed with definite FH did not have diabetes, cerebrovascular disease (CVD), and coronary artery disease (CAD). The diagnosis was not affected by gender, BMI, smoking, and alcohol consumption. Hypertension was significantly correlated to the diagnosis of FH, as most of them were already hypertensive at diagnosis. It was noted that hypertension, diabetes, CVD, and CAD were seen at an earlier age among patients with definite FH. Conclusion: The prevalence of heterozygous FH at 12% among dyslipidemia patients and 1.3% among the general population was described for the first time in our region. This result should raise the awareness of our healthcare providers that FH, which is a major risk factor for premature CAD and CVD, exists, and early detection and management are important.

Automatic Web services composition algorithm based on optimal matching

A novel layered method was proposed to solve the problem of Web services composition.In this method,services composition problem was formally transformed into the optimal matching problem of every layer,then optimal matching problem was modeled based on the hypergraph theory,and solved by computing the minimal transversals of the hypergraph.Meanwhile,two optimization algorithms were designed to discard some useless states at the intermediary steps of the composition algorithm.The effectiveness of the composition method was tested by a set of experiments,in addition,an example regarding the travel services composition was also given.The experimental results show that this method not only can automatically generate composition tree whose leaf nodes correspond to services composition solutions,but also has better performance on execution time and solution quality by adopting two proposed optimization algorithms.

Key technologies of artificial intelligence in electric power customer service

As the demand for customer service continues to increase,more companies are attempting to apply artificial intelligence technology in the field of customer service,enabling intelligent customer service,reducing customer service pressure,and reducing operating costs.Currently,the existing intelligent customer service has a limited degree of intelligence and can only answer simple user questions,and complex user expressions are difficult to understand.To solve the problem of low accuracy of multi-round dialogue semantic understanding,this paper proposes a semantic understanding model based on the fusion of a convolutional neural network(CNN)and attention.The model builds an“intention-slot”joint model based on the“encoding–decoding”framework and uses hidden semantic information that combines intent recognition and slot filling,avoiding the problem of information loss in traditional isolated tasks,and achieving end-to-end semantic understanding.Additionally,an improved attention mechanism based on CNNs is introduced in the decoding process to reduce the interference of redundant information in the original text,thereby increasing the accuracy of semantic understanding.Finally,by applying the model to electric power intelligent customer service,we verified through an experimental comparison that the proposed fusion model improves the performance of intent recognition and slot filling and can improve the user experience of electric power intelligent customer services.

Voluntary Service:Contribute to the Realization of Chinese Dream——on Promoting the Development of Voluntary Service with Chinese Characteristics under New Historical Circumstance

China Volunteer Service Federation is a nationalfederated social organization composed ofvoluntary service organizations and volunteers.Since its founding in more than two years ago,by strengthening cooperation with diversifiedvoluntary service organizations at all levels,promoting the working methods innovationof voluntary service in all sectors and regions,

面向Java手机Web Service技术应用集成研究

针对Java手机Web Service应用集成问题,通过分析现有Web Service的体系结构,以及Java手机硬件平台的相关技术,提出并实现了两种面向Java手机Web Service技术的应用集成方法,并对这两种方法的性能作了比较。

6G Service Coverage with Mega Satellite Constellations

The rapid development and continuous updating of the mega satellite constellation(MSC)have brought new visions for the future 6G coverage extension, where the global seamless signal coverage can realize ubiquitous services for user terminals. However, global traffic demands present nonuniform characteristics. Therefore, how to ensure the on-demand service coverage for the specific traffic demand, i.e., the ratio of traffic density to service requirement per unit area, is the core issue of 6G wireless coverage extension exploiting the MSC. To this regard, this paper first discusses the open challenges to reveal the future direction of 6G wireless coverage extension from the perspective of key factors affecting service coverage performance, i.e., the network access capacity, space segment capacity and their matchingrelationship. Furthermore, we elaborate on the key factors affecting effective matchings of the aforementioned aspects, thereby improving service coverage capability.

Improved Ant Colony-Genetic Algorithm for Information Transmission Path Optimization in Remanufacturing Service System

The information transmission path optimization(ITPO) can often a ect the e ciency and accuracy of remanufactur?ing service. However, there is a greater degree of uncertainty and complexity in information transmission of remanu?facturing service system, which leads to a critical need for designing planning models to deal with this added uncer?tainty and complexity. In this paper, a three?dimensional(3D) model of remanufacturing service information network for information transmission is developed, which combines the physic coordinate and the transmitted properties of all the devices in the remanufacturing service system. In order to solve the basic ITPO in the 3D model, an improved 3D ant colony algorithm(Improved AC) was put forward. Moreover, to further improve the operation e ciency of the algorithm, an improved ant colony?genetic algorithm(AC?GA) that combines the improved AC and genetic algorithm was developed. In addition, by taking the transmission of remanufacturing service demand information of certain roller as example, the e ectiveness of AC?GA algorithm was analyzed and compared with that of improved AC, and the results demonstrated that AC?GA algorithm was superior to AC algorithm in aspects of information transmission delay, information transmission cost, and rate of information loss.

Medical services for sports injuries and illnesses in the Beijing 2022 Olympic Winter Games

BACKGROUND:Beijing 2022 Olympic Winter Games was the second Games held amid the COVID-19 pandemic.To a certain extent,it has altered the way sporting activities operate.There is a lack of knowledge on injury risk and illness occurrence in elite winter sport athletes amid the COVID-19 pandemic.This study aimed to describe the incidence of injuries and illnesses sustained during the XXIV Olympic Winter Games in Beijing from February 4 to 20,2022.METHODS:We recorded the daily number of injuries and illnesses among athletes reported by Beijing 2022 medical staff in the polyclinic,medical venues,and ambulance.We calculated injury and illness incidence as the number of injuries or illnesses occurring during competition or training,respectively,with incidence presented as injuries/illnesses per 100 athlete-days.RESULTS:In total,2,897 athletes from 91 nations experienced injury or illness.Beijing 2022 medical staff reported 326 injuries and 80 illnesses,equaling 11.3 injuries and 2.8 illnesses per 100 athletes over the 17-day period.Altogether,11%of the athletes incurred at least one injury and nearly 3%incurred at least one illness.The number of injured athletes was highest in the skating sports(n=104),followed by alpine skiing(n=53),ice track(n=37),freestyle skiing(n=36),and ice hockey(n=35),and was the lowest in the Nordic skiing disciplines(n=20).Of the 326 injuries,14(4.3%)led to an estimated absence from training or competition of more than 1 week.A total of 52 injured athletes were transferred to hospitals for further care.The number of athletes with illness(n=80)was the highest for skating(n=33)and Nordic skiing(n=22).A total of 50 illnesses(62.5%)were admitted to the department of dentistry/ophthalmology/otolaryngology,and the most common cause of illness was other causes,including preexisting illness and medicine(n=52,65%).CONCLUSION:Overall,11%of athletes incurred at least one injury during the Games,which is similar to the findings during the Olympic Winter Games in 2014 and 2018.Regarding illness,2%of athletes were affected,which is approximately one-third of the number affected in the 2018 Olympic Winter Games.

A Study on Service-Oriented Smart Medical Systems Combined with Key Algorithms in the IoT Environment

A smart medical service system architecture is proposed in this paper to increase medical resource utilization and improve the efficiency of the medical diagnosis process for complex business scenarios in the Medical Internet of Things(MIoT)environment.The resource representation model theory,multi-terminal aggregation algorithm,and the resource discovery algorithm based on latent factor model are also studied.A smart medical service system within the IoT environment is then developed,based on the open source project.Experimental results using real-world datasets illustrate that the proposed smart medical service system architecture can promote the intelligent and efficient management of medical resources to an extent,and assists in the develop towards digitization,intelligence,and precision in the field of medicine.