Service Function Research Articles

Multi-scenario prediction of ecosystem services value and mechanism of its trade-offs under the township scale-evidence from Liaoning province.

Land use changes alter the capacity for the stable provisioning of regional ecosystem services, and the rational integration of ecological and economic benefits has become a critical challenge. The values of 11 specific ecosystem service functions and ecosystem service trade-off degrees were estimated. The Pearson correlation coefficient method and spatial autocorrelation were then utilized to investigate the relationship between these variables. The results showed that (1) the value of ecosystem services in Liaoning province increased by a total of 18.08 billion over the last two decades. The contribution of both water bodies and forest land accounted for more than 80% of this growth. Additionally, hydrological and climate regulation emerged as the most important ecosystem service functions. (2) In comparison to the natural development scenario, the tradeoffs in the economic development scenario were somewhat stronger, while the degree and direction of the interactions in the ecological protection scenario were altered, and synergistic relationships were reinforced. (3) 'High-high' aggregation primarily occurred between regulating services, provisioning services, and other ecosystem services, while 'low-low' aggregation occurred between provisioning services and other ecosystem services. These findings provide a scientific framework for Liaoning province to effectively integrate economic development and ecological protection.

A Service Function Chain Traffic Steering Path Algorithm Based on Graph Convolutional Network and Deep Q-Network

A Service Function Chain Traffic Steering Path Algorithm Based on Graph Convolutional Network and Deep Q-Network

Planning model of a low-carbon landscape garden environment based on PSO-BP

Abstract A particle swarm optimization-back propagation neural network (PSO-BP) is proposed. First, we collect and preprocess the planning data for low-carbon landscape environment to ensure accuracy and consistency of data; then we propose the PSO-BP model that combines the global optimization characteristics of particle swarm algorithm and the nonlinear mapping capability of the backpropagation neural network. Empirical studies show that this model can effectively reduce energy consumption and carbon emissions, thus improving the ecological environment quality, improve the ecological service function, and effectively promote the sustainable development of low-carbon landscape buildings.

Evaluation of the biocontrol potential of Episyrphus balteatus (Diptera: Syrphidae) on wheat aphids in northern China.

Marmalada hoverfly, Episyrphus balteatus De Geer (Diptera: Syrphidae), is a cosmopolitan fly species providing pest control and pollination services. As wheat aphids cause significant losses to global wheat production, a systematic evaluation of the predatory potential and biocontrol service functions of E. balteatus in wheat ecosystems was undertaken. The daily maximum prey consumption of third instar E. balteatus on the adult of Rhopalosiphum padi Linnaeus, Schizaphis graminum Rondani, and Sitobion miscanthi Takahashi (Hemiptera: Aphididae) were 250, 500, and 100 individuals/third instar larvae, respectively. The S. graminum population decline rates in cages after release of the third instars at ratios of 1:100 and 1:200 were 100% and 94.17%, respectively, 72-h after exposure. Feeding assays involving R. padi, S. graminum, and S. miscanthi showed a DNA detectability half-life of 4.17, 6.44, and 4.83h, respectively, in third instar larvae of E. balteatus. Using multiplex polymerase chain reaction-based gut content analysis to detect prey DNA remains, we confirmed that E. balteatus larvae preyed upon R. padi, S. graminum, S. miscanthi, and Metopolophium dirhodum Walker (Hemiptera: Aphididae) in the field experiments during 2022 to 2024. A significant positive correlation was also found between corrected prey detection rate and aphid population dynamics. These results provide an entry point for understanding the ecological service function of E. balteatus and developing the biological control strategy of the wheat aphid management.

Sound Governance in the Food Sector in Bandung City and Lebak Regency in 2022-2024 (Study on the Sub-Directorate of Food Insecurity Management)

Objective: This article aims to compare how the government prepares food in each region. The impact of good governance in carrying out government service functions is a key indicator of achieving food security. Theoretical Framework: This topic focuses on key principles related to good governance that aim to improve food governance. It covers processes, structures, cognition and values, constitutions, organizations and institutions, management and performance, policies, sectors, international factors or globalization, as well as ethics, accountability, and transparency. Method: This article employs a phenomenon analysis approach to uncover regional events, community attitudes, and social activities. It uses a qualitative approach and analyzes the results of interviews. Results and Discussion: The results indicated that strengthening the local food products of Lebak Regency, as a supplier and producer, is a crucial aspect of good governance. Moreover, the Lebak District Government lacks authority over agriculture, fisheries, and livestock within its existing government structure. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of Social Science. Where this research is closely related to government and the public sector to sound governance Originality/Value: This study enhances knowledge about governance in community food security initiatives. The significance and value of this study are demonstrated by the government's achievement in effectively organizing and distributing food resources in accordance with the principles of good governance.

Adaptation and validation of a tool for the quality assessment of genetic counseling in Brazil: perspectives from clinical geneticists.

In 2018, Portuguese researchers proposed the "Tool for Quality Assessment of Genetic Counseling," a 5-point Likert scale comprising 50 items across five dimensions, designed to assess genetic counseling from the professional's perspective. This descriptive, cross-sectional study aimed to adapt this tool to Brazilian Portuguese, validate it among Brazilian clinical geneticists, and conduct a preliminary assessment of the quality of genetic counseling in Brazil. The adaptation process involved expert-driven content validation and calculation of the Content Validity Index (CVI) to ensure equivalence between the original and adapted versions. The adapted tool was subsequently administered to 81 clinical geneticists, including physicians and nurses, and the data were analyzed using Principal Component Analysis. Items with factor loadings above 0.4 were retained for interpretive purposes. Results were normalized and categorized. The adapted items achieved acceptable CVIs, ranging from 0.831 to 1.0, demonstrating strong validity. Scale results revealed that the dimensions "genetic counseling outcomes" (100%), "education" (86.41%), and "individual attributes" (80%) were rated as very good, "counselor-client relationship" (76.33%) as good, and "service functioning" (59.95%) as sufficient. These findings indicated that although participants perceived the genetic counseling they provided as achieving desired outcomes, deficiencies in service functioning negatively impacted perceptions of overall quality, highlighting the need for systemic improvements to enhance service delivery. This cross-cultural adaptation validated a reliable new instrument for Brazilian professionals, providing a robust foundation for future research and applications in diverse clinical settings.

Evaluating the Accessibility of Urban Public Open Spaces Based on an Improved 2SFCA Model: A Case Study Within Chengdu’s Second Ring Road

The rational allocation of urban public open spaces (UPOS) is critical for creating a livable urban environment. Traditional Two-Step Floating Catchment Area (2SFCA) models often lack sufficient quantitative analysis regarding the supply of urban public service facilities and population demand. This study, taking the area within Chengdu’s Second Ring Road as an example, proposes a 2SFCA model that integrates both supply and demand improvements to evaluate UPOS accessibility. The accessibility results are further analyzed using hotspot analysis, and blind zone detection. In terms of supply improvements, the model incorporates additional indicators beyond the spatial area of UPOS, including service quality and the diversity of surrounding environmental service functions, to better evaluate the overall attractiveness of UPOS to residents. On the demand side, besides population size, the model incorporates the spatial distribution of residents and differences in social characteristics affecting UPOS demand. Results indicate that the improved 2SFCA model, which considers both the attractiveness of UPOS and residents’ demand, significantly enhances the accuracy of accessibility assessments. There are substantial differences in service quality among UPOS, while the diversity of surrounding environmental service functions remains generally high. UPOS demand follows a “high in the northeast—low in the southwest” spatial pattern. The spatial distribution of UPOS accessibility shows a “high in the west—low in the east” pattern, opposite to the demand distribution, indicating a supply–demand mismatch. UPOS accessibility identifies one hotspot cluster and four cold spot clusters, with large areas showing no significant characteristics. Additionally, 10.58% of the study area remains blind zones, requiring urgent attention. This study offers a more scientific method and framework for research on the spatial layout and supply–demand matching of UPOS.

Construction and Application of Urban Green Space Ecosystem Service Assessment Indicator System and Assessment Method: A Case Study of Chifeng Central Urban Area, China

The assessment of urban green space ecosystem services is an important basis for urban ecosystem management and decision-making. To further enhance the accuracy of this evaluation, this paper refers to the main research results of international urban ecosystem service assessment and puts forward the main principles for the construction of an urban green space ecosystem service assessment index system. Based on this principle, the framework of the assessment indicator system was carried out by adopting the expert consultation method and frequency analysis method. This system includes the functions of leisure and recreation and the landscape premium in cultural services, air purification, noise abatement, carbon sequestration, oxygen release, and precipitation storage in regulatory services, and biodiversity conservation in supply services. The assessment methods for each functional category are chosen for their appropriateness, or the inadequacies of the existing methods are refined and improved. Then, we take the urban center of Chifeng City, China, as an example to carry out an empirical study on the urban green space ecosystem service assessment index system and assessment methods proposed in this paper. This study shows that the total value of green space ecosystem services in the downtown area of Chifeng City is CNY 229.91 million (Chinese Yuan). Among them, cultural services, regulating services, and supporting services accounted for 89.62%, 9.06%, and 1.32% of the total value, respectively. This study has important reference significance for the comprehensive quantitative assessment of the ecological service function value of urban green spaces, revealing the socio-economic value of urban green space resources while providing insights and references for the environmental assessment, planning, construction, and management decision-making of urban green spaces.

The Implementation Strategy of Cost Control and the Construction of a Guarantee Model of Financial BPO in the Cloud Computing Environment

Cloud computing platform is a main direction of computer information technology development at present. In this paper, financial SMOTE algorithm, business process outsourcing, hardware, software, data and other resources such as integrated network storage infrastructure, data resources, management platform, servers and various financial service applications are adopted. According to the service functions and service modes provided by commercial cloud computing, a financial information system architecture based on cloud computing is constructed. The proposed method can control the cost by 60%,Improve the financial management level and efficiency of enterprises in an all-round way, provide important decisions for the development of enterprises' market operation, avoid market operation risks in time, and provide more opportunities for enterprises' development.

Evaluation of job satisfaction in nursing staff of the Dr. Gustavo Domínguez General Hospital, Ecuador

Introduction: personal satisfaction is related to how people see their work, as well as their attitudes towards it. This entity depends on internal and external factors to the worker. Nursing staff, due to the characteristics of the profession, find themselves in many situations. sometimes subjected to situations that cause dissatisfaction with their work environment. This study was conducted with the aim of evaluating job satisfaction in nursing workers.Methods: a descriptive, observational, cross-sectional study was conducted on 73 nurses from the Dr. Gustavo Dominguez Hospital, Ecuador. A survey was applied using a Google Forms form, consisting of 23 questions structured into the following factors: supervision exercised by their superiors; the physical work environment; material benefits; intrinsic to the work; remuneration, basic benefits, and interpersonal relationships.Results: males predominated (46.7%), 39.7% were “very dissatisfied” with personal relationships with supervisors, 42.5% were “quite dissatisfied with the physical environment”, only 4.1% were “very satisfied” with salary and career advancement opportunities, and 28.8% rated intrinsic job satisfaction as “quite dissatisfied”.Conclusions: The presence of job dissatisfaction was identified in more than half of the nursing staff surveyed, with a higher negative assessment of the physical environment and intrinsic satisfaction. The above findings could be interpreted as an indicator of poor functioning and management of services in the institution

Efficient Matching of Ultra-Large-Scale Business Requests to Service Function Chains Based on Deep Learning Evolution

Efficient Matching of Ultra-Large-Scale Business Requests to Service Function Chains Based on Deep Learning Evolution

Service Function Chain Deployment with Intrinsic Dynamic Defense Capability

Service Function Chain Deployment with Intrinsic Dynamic Defense Capability

Hybrid Serverless Platform for Smart Deployment of Service Function Chains

Hybrid Serverless Platform for Smart Deployment of Service Function Chains

Optimization of Land Use Structure Integrating Ecosystem Service Function and Economic Development—A Case Study in Dongting Lake Ecological and Economic Zone, China

Optimization of Land Use Structure Integrating Ecosystem Service Function and Economic Development—A Case Study in Dongting Lake Ecological and Economic Zone, China

SDN-based Service Function Chaining in Integrated Terrestrial and LEO Satellite based Space Internet

SDN-based Service Function Chaining in Integrated Terrestrial and LEO Satellite based Space Internet

Next-Gen Service Function Chain Deployment: Combining Multi-Objective Optimization with AI Large Language Models

Next-Gen Service Function Chain Deployment: Combining Multi-Objective Optimization with AI Large Language Models

INCREASING THE CAPACITY OF VILLAGE APPARATUS IN IMPLEMENTING PUBLIC SERVICE FUNCTIONS IN BACIRO VILLAGE, GONDOKUSUMAN SUB-DISTRICT, YOGYAKARTA CITY

Efficient and effective public services are important to fulfill the needs of the community. Increasing the capacity of village apparatus in implementing public service functions is the key. However, village apparatus participation in increasing knowledge and skills related to tasks and functions in Baciro Village is low. This study aims to analyze and describe the capacity building of the village apparatus in implementing public service functions in Baciro Village, Gondokusuman, Yogyakarta City. This study used a quasi-qualitative method. Data collection techniques covered interviews, observation, and documentation. The results of the study showed that capacity building covered three dimensions, namely human resource development, organizational strengthening, and institutional reform. Meanwhile, human resource development needs to be improved in terms of quality and quantity so the village apparatus can be competent in helping the community in solving obstacles. In terms of organizational strengthening, the existing organizational structure is clear and the village apparatus understands their duties and responsibilities. In terms of institutional reform, the services provided are always transparent so that the community can easily access information and supervise all aspects carried out by the village apparatus for the welfare of the community and the interests of the organization. In this case, the apparatus has to be professional in carrying out their duties. It can be concluded that the capacity building of the apparatus in organizing public service functions in Baciro Village is considered in a fairly good category but it requires improvement in some aspects.

Quantifying the Impact of Climate Change and Forest Management on Swedish Forest Ecosystems Using the Dynamic Vegetation Model LPJ‐GUESS

AbstractBoreal and temperate forests are undergoing structural, compositional and functional changes in response to increasing temperatures, changes in precipitation, and rising CO2, but the extent of the changes in forests will also depend on current and future forest management. This study utilized the dynamic vegetation model LPJ‐GUESS enabled with forest management (version 4.1.2, rev11016) to simulate changes in forest ecosystem functioning and supply of ecosystem services in Sweden. We compared three alternative forest policy scenarios: Business As Usual, with no change in the proportion of forest types within landscapes; Adaptation and Resistance, with an increased area of mixed stands; and EU‐Policy, with a focus on conservation and reduced management intensity. LPJ‐GUESS was forced with climate data derived from an ensemble of three earth system models to study long‐term implications of a low (SSP1‐2.6), a high (SSP3‐7.0), and a very high (SSP5‐8.5) emissions scenario. Increases in net primary production varied between 4% and 8% in SSP1‐2.6, 21%–25% in SSP3‐7.0 and 25%–29% in SSP5‐8.5 across all three forest policy scenarios, when comparing 2081–2100 to 2001–2020. Increased net primary production was mediated by a higher soil nitrogen availability and increased water use efficiency in the higher emission scenarios SSP3‐7.0 and SSP5‐8.5. Soil carbon storage showed small but significant decreases in SSP3‐7.0 and in SSP5‐8.5. Our results highlight differences in the predisposition to storm damage among forest policy scenarios, which were most pronounced in southern Sweden, with increases of 61%–76% in Business‐As‐Usual, 4%–11% in Adaptation and Resistance, and decreases of 7%–12% in EU‐Policy when comparing 2081–2100 to 2001–2020.

THE STATE OF HOUSING AND COMMUNAL SERVICES IN UKRAINE: CHALLENGES, PROBLEMS AND WAYS OF DEVELOPMENT

The article presents an analysis of the socio-economic development of housing and communal services (HCS) as a pivotal element of the urban economy, with a direct impact on the quality of life of the population. It is established that the effective functioning of housing and communal services is a prerequisite for meeting the growing needs of society and maintaining social infrastructure. The article presents a rationale for the strategic placement of housing and communal services, considering social, economic, and environmental factors, as well as the necessity for enhanced public service quality. The article presents an analysis of the current challenges facing the housing and utilities sector in Ukraine, including the deterioration of infrastructure, the population's debt for utilities, and the impact of martial law. The authors highlight the necessity of innovative solutions, infrastructure modernisation and improved governance mechanisms in this sector to achieve the goals of sustainable development. An integrated approach that includes cooperation between the state, local authorities and business is essential for effecting change in this critical area.

Exploration of Factors Influencing the Effectiveness of Online Recruitment Service Ratings

Background information & problem statement: Online recruitment has brought great benefits to both enterprises and candidates in terms of reducing recruitment costs, expanding the scope of recruitment advertisements, publishing recruitment information quickly, and effectively interacting in the recruitment process, as well as promoting the flow of talent and economic development in the region. As a result, online recruitment has become the first choice for businesses and candidates. However, there are still problems in the practical application of online recruitment, such as excessive amount of information, low pass rate, and unsatisfactory recruitment effect, which is not conducive to the implementation of enterprise human resource management. Motivation: This study studies the influencing factors of online recruitment and the measures to improve the effectiveness of online recruitment, so as to provide theoretical guidance and reference for enterprises to take effective countermeasures. Research method: This study aims to assist in improving the service functions of online recruitment platforms through the Analytic Hierarchy Process (AHP) to meet more user needs. By understanding the demand orientation of job seekers, the study provides a more suitable evaluation of recruitment effectiveness and serves as a reference for improving the quality of recruitment services on various online platforms. Findings & conclusion: Through the relationship matrix, online recruitment platforms can understand whether the services they provide can meet the real needs of users, so as to serve as a basis for understanding more user-friendly needs, as shown in Figure 3. As can be seen from the figure, the top five in the total points ranking are value-added services, design beautification, platform management, dispute resolution and reasonable compensation. Therefore, under the premise of limited resources, enterprises can give priority to increasing value-added services, optimizing the system interface, strengthening the privacy review management of the platform, timely handling of disputes between applicants and enterprises, and improving the claim system. Enterprises can consider projects with low total points such as strengthening customer service training, improving training skills, and simplifying platform operations when they have spare resources to invest capital.