Research on Service Value Chain Model Based on Technology Service Platform

For the technology service platform, serving users with science and technology resources is the purpose of platform construction, and the quality of the service value chain affects the operation of the technology service platform. Aiming at the immature status of the research on the service value chain model of the technology service platform, this paper proposes a set of construction ideas based on the service value chain model of the technology service platform. The model takes the technology service platform as the central node, and at the same time integrates users, third-party technology service platforms, service resource providers in various fields and other participant nodes, and links the interests of all parties through a dynamic chain with value flow as the core. Each participant node cooperates with each other to form a complex, cross-domain service value chain model. In order to ensure the service quality of the platform, a feedback mechanism that reflects the attitude of users using scientific and technological service resources is introduced into the service value chain model. By taking the manufacturing of vertical elevators as an example, the operation of the service value chain is simulated, and the usability of the service value chain model is verified.

Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study

The question of whether each building of housing estate has equal access to nearby social service resources (e.g., public transportation service, catering, entertainment, etc.) is a major concern of citizens. This paper takes Wuhan as a case to explore the equality in social service resource sharing of the housing estate at a microscopic level by analyzing the accessibility of each building under different travel patterns. To estimate the accessibility of each building, we developed a novel model with multi-travel modes and residential suitability evaluation of residents. The specific values of the parameters involved in the proposed model were extracted from the multi-source spatial data such as social media data, census data, point of interest, and road network data. These data were acquired from multiple platforms, e.g., Gaode map, OSM (OpenStreetMap), and GeoQ. We chose three types of districts in the city of Wuhan, including the old central district, new central district, and suburban district. We applied the proposed model to assess the accessibility of communities in these districts. Based on the results, we further analyzed whether and to what extent the distribution of each building in urban communities is equitable for social service resource sharing in China.

Equestrian Sports Posture Information Detection and Information Service Resource Aggregation System Based on Mobile Edge Computing

Equestrianism is a special sport. Equestrian sports have become popular in people’s lives and have also developed rapidly in our country, becoming a trend. This paper aims to study the equestrian sports posture information detection and information service resource aggregation system based on mobile edge computing. The research of equestrian sports can greatly promote future development. For this reason, we use the power of science and technology to study the equestrian sports posture and make an equestrian sports posture information detection system. The system is designed to feed back the riding posture in real time and can provide equestrian athletes with a more scientific and healthier equestrian training posture. In order to fully verify the practicability of the system, at the end of the forum, the performance of the entire monitoring platform was tested, and three tests were designed, respectively: packet loss rate test, driving test, and riding test. The driving test proves the validity of data transmission, and the riding test proves the practicability of the monitoring platform’s functions. The test results show that the maximum data packet loss rate is 0.6%, which can fully confirm that the monitoring platform has sufficient technical practicability, no problems have been found in practical applications, and it has good market and application prospects.

Use of routinely collected data in a UK cohort of publicly funded randomised clinical trials

Routinely collected data about health in medical records, registries and hospital activity statistics is now routinely collected in an electronic form. The extent to which such sources of data are now being routinely accessed to deliver efficient clinical trials, is unclear. The aim of this study was to ascertain current practice amongst a United Kingdom (UK) cohort of recently funded and ongoing randomised controlled trials (RCTs) in relation to sources and use of routinely collected outcome data. Recently funded and ongoing RCTs were identified for inclusion by searching the National Institute for Health Research journals library. Trials that have a protocol available were assessed for inclusion and those that use or plan to use routinely collected health data (RCHD) for at least one outcome were included. RCHD sources and outcome information were extracted. Of 216 RCTs, 102 (47%) planned to use RCHD. A RCHD source was the sole source of outcome data for at least one outcome in 46 (45%) of those 102 trials. The most frequent sources are Hospital Episode Statistics (HES) and Office for National Statistics (ONS), with the most common outcome data to be extracted being on mortality, hospital admission, and health service resource use. Our study has found that around half of publicly funded trials in a UK cohort (NIHR HTA funded trials that had a protocol available) plan to collect outcome data from routinely collected data sources.