Higher Service Efficiency Research Articles

Research on the Development Dilemma and Countermeasures Faced by Rural Digital Inclusive Finance

Due to the influence of the complexity and diversification of financial needs in rural areas, traditional financial services have exposed many problems, and it is difficult to fully meet the personal credit needs of farmers. Under this circumstance, rural digital financial inclusion has achieved rapid development. Compared with the traditional inclusive finance model, digital inclusive finance has wider coverage and higher service efficiency, helping to promote the development of the rural economy. At present, the development of rural digital inclusive finance still faces many difficulties, which need to be solved and optimized urgently. To this end, this paper discusses the development difficulties and countermeasures faced by rural digital inclusive finance for reference.

A Bioresorbable Dynamic Pressure Sensor for Cardiovascular Postoperative Care.

Bioresorbable electronics that can be absorbed and become part of the organism after their service life are a new trend to avoid secondary invasive surgery. However, the material limitation is a significant challenge. There are fewer biodegradable materials with pressure-sensitive properties. Here, a pressure sensor based on the triboelectric effect between bioabsorbable materials is reported. This effect is available in almost all materials. The bioresorbable triboelectric sensor (BTS) can directly convert ambient pressure changes into electrical signals. This device successfully identifies abnormal vascular occlusion events in large animals (dogs). The service life of the BTS reaches 5 days with a high service efficiency (5.95%). The BTS offers excellent sensitivity (11 mVmmHg-1 ), linearity (R2 = 0.993), and good durability (450000 cycles). The antibacterial bioresorbable materials (poly(lactic acid)-(chitosan 4%)) for the BTS can achieve 99% sterilization. Triboelectric devices are expected to be applied in postoperative care as bioresorbable electronics.

Design and Implementation of Poultry Farming Information Management System Based on Cloud Database.

Aiming at breaking down the bottleneck problems of different scale of poultry farms, the low profitability of poultry farming, and backward information management in China, a safe and efficient information management system for poultry farming was designed. This system consists of (1) a management system application layer, (2) a data service layer, and (3) an information sensing layer. The information sensing layer obtains and uploads production and farming information through the wireless sensor network built in the poultry house. The use of a cloud database as an information storage carrier in the data service layer eliminates the complex status of deploying local server clusters, and it improves the flexibility and scalability of the system. The management system application layer contains many sub-function modules including poultry disease detection functions to realize the visual management of farming information and health farming; each module operates independently and cooperates with each other to form a set of information management system for poultry farming with wide functional coverage, high service efficiency, safety, and convenience. The system prototype has been tested for the performance of wireless sensor network and cloud database, and the results show that the prototype is capable of acquiring and managing poultry farming information.

Bilateral value-added services and pricing strategies of the third-party platform considering the cross-network externality

This paper studies bilateral value-added services and pricing strategies of the third-party platform for manufacturing, in which we consider the cross-network externality and value-added service affecting the utility of manufacturers and suppliers joining the platform. By constructing a game theory model, we analyze the optimal decisions of the platform, and propose four different bilateral value-added service and pricing strategies, then discuss the influence of the cross-network externality strengths on the optimal decisions of the platform as well as the impact of the platform providing value-added services. Our results show that the platform’s service efficiencies determine the difference of its bilateral value-added service levels. The platform will provide a higher service level for the side with higher service efficiency, but not always charge them more. When the service efficiency to manufacturers is higher than that to suppliers, the platform provides a relatively high value-added service level with a relatively low price for manufacturers and a relatively low value-added service level with a relatively high price for suppliers in some conditions. Moreover, the strengths of the manufacturer’s and the supplier’s cross-network externality have different effects on the optimal decisions of the platform. With the supplier’s cross-network externality strength increasing, the platform may increase the value-added service level and the price for both manufacturers and suppliers. But with the manufacturer’s cross-network externality strength increasing, the platform won’t do that anymore. It will always increase the value-added service level but reduce the price for manufacturers. Meanwhile, it will increase both the value-added service level and the price for suppliers. Besides, comparing with the case of no value-added services, we find that when the platform provides value-added services for bilateral users, the platform always charges suppliers a higher price, but may charge manufacturers a lower price.

Construction of performance monitoring model for cloud computing service platform based on label technology

To solve the problems of low service efficiency, large change in total system requests and high blocking probability of the current performance monitoring model for cloud computing service platform, a performance monitoring model for cloud computing service platform based on label technology is proposed. By using the model, the concept and characteristics of cloud computing are analysed, the purpose of performance management and performance monitoring structure of cloud computing service platform are summarised, the service efficiency, time characteristics, resource utilisation and efficiency compliance of cloud computing service platform are evaluated, the structure model of cloud computing service platform is established, and the label technology is introduced, to build the performance monitoring model for cloud computing service platform. Finally, the performance monitoring of cloud computing service platform is realised. The experimental results show that the proposed model has high service efficiency, stable change of the total number of system requests and low blocking probability, which verifies the validity and superiority of the proposed model, and provides a new idea for the development and progress of performance monitoring technology of cloud computing service platform.

Construction of performance monitoring model for cloud computing service platform based on label technology

To solve the problems of low service efficiency, large change in total system requests and high blocking probability of the current performance monitoring model for cloud computing service platform, a performance monitoring model for cloud computing service platform based on label technology is proposed. By using the model, the concept and characteristics of cloud computing are analysed, the purpose of performance management and performance monitoring structure of cloud computing service platform are summarised, the service efficiency, time characteristics, resource utilisation and efficiency compliance of cloud computing service platform are evaluated, the structure model of cloud computing service platform is established, and the label technology is introduced, to build the performance monitoring model for cloud computing service platform. Finally, the performance monitoring of cloud computing service platform is realised. The experimental results show that the proposed model has high service efficiency, stable change of the total number of system requests and low blocking probability, which verifies the validity and superiority of the proposed model, and provides a new idea for the development and progress of performance monitoring technology of cloud computing service platform.

Study on serviceability and efficiency of seven pilot carbon trading exchanges in China

Carbon trading has become a major innovation for many countries to cope with climate change, where in China the 7 pilot markets have been running for over 6 years with different performances shown. Being the actual venue where buyers and sellers trade carbon permits, how well and efficient a carbon trading exchange is designed directly affects whether the market can fulfill its environmental purpose. This paper selects 13 sub-indicators from three dimensions of main settings, risk prevention & control, and regional cooperation to evaluate the serviceability of the 7 exchanges in pilot carbon markets in China. Using which as input indicator and market operational effect as output indicator that represented by 5 sub-indicators including percentage of valid trading days, dispersion of trading volume etc., the study attempts to analyze how the serviceability of exchanges affect market operation. By applying the SUP-CCR-DEA (Super-efficiency CCR Data Envelope Analyze) model on 7 exchanges' trading data from 2013 to 2017, the study finds that the serviceability of the exchanges varies significantly, with Shanghai being the best and Shenzhen ranks the second. Obvious stratification is detected but with small changes during the four years observed, differences in main settings and transaction management system being the primary cause. It is found that the serviceability has a direct and significant impact on the market performance for all 6 exchanges except for Tianjin, and for those top-ranked exchanges, strong enforcement system and legally binding agreements contribute to their high service efficiency.

Setup and management of the multi-functional post for outpatients

Simplified outpatient service flow and higher service efficiency can save back-and-forth trips and queuing time of outpatients and better their medical experience. The authors introduced the hospital′s experience in establishing a one-stop multi-functional outpatient service center. This center integrated such departments as outpatient office service, medical insurance office service, and registration & fee payment. Such a multifunctional post provided a one-stop service for the patients, hence optimizing the workflow for creating a convenient and fast outpatient service. Key words: Services administration; Outpatient management; Multifunctional post; One-stop service; Workflow optimization

Practice and effect of improving the efficiency of medical services in Hangzhou

Higher service efficiency and better medical experience are main goals of the healthcare system reform.The article explained the logical framework, main actions, initial results of the one visit for all reform, which aims at promoting the efficiency of medical services and management in Hangzhou.Policy suggestions are raised, namely involving more people into the governance mechanism, collaboratively optimizing the working process of medical staff, improving the information security mechanism, and perfecting the effectiveness evaluation system.These measures are designed to accelerate the construction of modern hospital management system, and to build a scientific and orderly hierarchical medical system. Key words: Health service management; Hierarchical medical system; Governance mechanism; Synergy; Hangzhou

Enabling for-profit pest control firms to meet farmers’ preferences for cleaner production: Evidence from grain family farms in the Huang-huai-hai plain, China

Pest control services facilitate cleaner production by farmers. To promote the interest of farmers in adopting pest control services for cleaner production, the preference of farmers for pest control firms must be determined. Based on a survey of 433 grain family farms in the Huang-huai-hai Plain and using the choice experiment method, this study eliminates the ordering effect through prior “warm-up” and “disclosure” and uses inferred attribute non-attendance to process information on the attributes of for-profit pest control firms that were neglected by grain family farms. The hierarchical Bayes generalized mixed logit model was used to examine the preference for for-profit pest control firms by grain family farms. The results indicate that grain family farms prefer to adopt pest control services and select for-profit pest control firms that satisfy their requirements (the coefficient of alternative specific constant, −0.627, is significant and negative). Grain family farms are heterogeneous in their preferences of for-profit pest control firms, and they particularly prefer those provide yield commitment, with high service efficiency, and allow payment delayed (the values of the mean coefficients are all greater than 1.0). Under the same combination of for-profit pest control firms attributes, the increase in profit per mu for grain family farms with highly educated farmers, who mainly plant rice and highly acknowledge the value of pest control services and the danger of chemical pesticides can possibly increase further (all interaction terms of alternative specific constant, i.e., −0.394, 0.381, −0.453, −0.779, −0.431 and −0.428, are significant).

Dependency-Aware Computation Offloading in Mobile Edge Computing: A Reinforcement Learning Approach

Mobile edge computing (MobEC) builds an Information Technology (IT) service environment to enable cloud-computing capabilities at the edge of mobile networks. To tackle the restrictions in the battery power and computation capability of mobile devices, task offloading for using MobEC is developed and used to reduce the service latency and to ensure high service efficiency. However, most of the existing schemes only focus on one-shot offloading, while taking less into consideration the task dependency. It is urgently needed a more comprehensive and adaptive way to take both the energy constraint and the inherent dependency of tasks into account, since modern communication networks have increasingly become complicated and dynamic. To this end, in this paper, we are motivated to study the problem of dependency-aware task offloading decision in MobEC, aiming at minimizing the execution time for mobile applications with constraints on energy consumption. To solve this problem, we propose a model-free approach based on reinforcement learning (RL), i.e., a Q-learning approach that adaptively learns to optimize the offloading decision and energy consumption jointly by interacting with the network environment. Simulation results show that our RL-based approach is able to achieve significant reduction on the total execution time with comparably less energy consumption.

The Mobile Charging Vehicle Routing Problem with Time Windows and Recharging Services.

For the environmental friendliness of the technology on battery electric vehicles, there is growing attention on it. However, the market share of battery electric vehicles remains low due to the range anxiety. As a remedy, the mobile charging services could offer charging service at any time or locations requested. For profitability of the services, the operator should route the charging vehicles in a more efficient manner. For this consideration, we formulate the mobile charging vehicle routing problem as a mixed integer linear program based on the classical vehicle routing problem with time windows. To demonstrate the model, test instances are designed and computational results are presented. In order to examine the change of the number of mobile charging vehicles and travel distance, sensitivity analyses, such as battery capacity and recharging rate, are performed. The results show that larger battery capacity, quicker charging rate, or higher service efficiency could decrease the number of mobile charging vehicles and total traveled distances, respectively.

Support policy preferences of for-profit pest control firms in China

Abstract This study surveyed 297 for-profit pest control firms (FPCFs) in Huang-Huai-Hai Plain, China. After processing the information on neglected attributes, the heterogeneous preferences of FPCFs for different support policies were investigated using the choice experiment method, mixed logit model (MLM), and latent class model. Findings indicated an optimal model fit validity, which applies the inferred attribute non-attendance method to process information. The estimation results of the hierarchical Bayes MLM effectively reflected the preferences of FPCFs. FPCFs are heterogeneous in their preferences for different support policies and prefer those with technical and credit support and agricultural subsidies (the mean coefficients of those attributes are greater than 0.8). When faced with the same combination of policy attributes, FPCFs with highly educated operators, high service efficiency, numerous large-scale machineries, and abundant funds are likely to expand their service area. Furthermore, FPCFs could be classified according to different preferences, namely, finance (47.1%), technology (21.6%), security (18.7%), and information preference (12.6%).

Study on an Information System Integration Scheme of Enterprises Based on RFID Technology with SOA

Radio frequency identification(RFID) is high technology, which can rapidly and real-timely acquisition information and accurately deal with information. And it has broad application prospects in retail, logistics, transport and other fields. Service oriented architecture(SOA) is a service-oriented architecture, which is used to design and realize the loose coupling software. For the existing shortcomings of current enterprise information system integration, the RFID technology and SOA are introduced into system integration in order to propose a new enterprise information system integration scheme in this paper. In the proposed system integration scheme, the middleware uses the business documents as the carrier of data exchange among other enterprise application systems, and the data stream technology is used to filter and package RFID data. The rule parsing technology is used to control the business processes. The SOA is used to realize the loose coupling and integration of RFID data event and application system, and deal with the configuration of the components. At the same time, .NET Remoting technology is used to realize the distribution architecture of middleware in order to ensure the deployment flexibility of middleware. The applied cases of a demonstrative application system, blood management and traceability system are used to illustrate its feasibility and effectiveness of the proposed integration scheme. The enterprise information system integration scheme provides an effective solution for system integration between different enterprises or internal enterprises. It can solve the compatibility between different application systems, and takes on the higher service efficiency, less CPU average occupation and better average response time. This study provides a stable and effective solution for information sharing between enterprises, improves the work efficiency and reduces the whole work management capital, and continuously improves the informatization level of the enterprises.

Randomized controlled trial of a multisite speech pathology telepractice service providing swallowing and communication intervention to patients with head and neck cancer: Evaluation of service outcomes.

The purpose of this study was to present our evaluation of a new speech pathology telepractice service supporting the swallowing and communication management of patients with head and neck cancer. A multicenter randomized controlled trial was conducted within a large public cancer service. Referrals from speech pathologists at 3 regional sites (spoke sites) were managed by a specialist clinician from a cancer center (hub site) either via standard care (phone/email support/appointments at the hub site) or a newly established telepractice service (online consultation between the hub site and spoke site). Eighty-two referrals (39 for standard care and 43 for telepractice care) were managed. Service efficiency favoring the telepractice model was reported with a significant reduction in the number (p = .004) and duration (p = .024) of contact events required to manage the referrals. Higher consumer and clinician satisfaction was also reported for the telepractice service. A speech pathology telepractice service benefits both the patient and health provider through higher service efficiency and treatment satisfaction. © 2017 Wiley Periodicals, Inc. Head Neck 39: 932-939, 2017.

Exploration on the use of mobile Internet technology for hospital outpatient services optimization

Outpatient service constitutes a key part of hospital services.In an effort to optimize services plagued by the too long waiting time in registration,payment and drug dispensary,and the too short time in seeing doctors,Beijing Friendship Hospital introduced mobile Intemet technology into hospital outpatient services.Such measures as mobile payment,and realtime push of the information of patients waiting were adopted to help with outpatients waiting at home,minimize outpatients' movement,queuing and waiting.Simplified service process and higher service efficiency proved effective in winning higher outpatient satisfaction as a result. Key words: Outpatient service; Process; Satisfaction; Mobile payment