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Access to emergency medical services in Beijing:integrating web mapping application programming interfaces and empirical Bayesian Kriging interpolation analysis 认领 引用
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作者 Haolin Zhu Mo Xu +2 位作者 Luying Zhu Sijia Tian Jinjun Zhang 《World Journal of Emergency Medicine》 SCIE CAS CSCD 2025年第3期266-268,共3页
Emergency medical services (EMS) are a vital element of the public healthcare system in China,[1]providing an opportunity to respond to critical medical conditions and save people’s lives.[2]The accessibility o... Emergency medical services (EMS) are a vital element of the public healthcare system in China,[1]providing an opportunity to respond to critical medical conditions and save people’s lives.[2]The accessibility of EMS has received considerable attention in health and transport geography studies.[3]One of the optimal gauges for evaluating the accessibility of EMS is the response time,which is defined as the time from receiving an emergency call to the arrival of an ambulance.[4]Beijing has already reduced the response time to approximately12 min,and the next goal is to ensure that the response time across Beijing does not exceed 12 min (the information comes from the Beijing Emergency Medical Center). 展开更多
关键词 emergency medical services public healthcare system web mapping application programming interfaces empirical bayesian kriging interpolation analysis accessibility respond critical medical conditions response time
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Web Applications Development and Software Process Improvement in Small Software Firms: A Review 认领 引用
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作者 Mohamad M. Al-Laham Haroon Tarawneh Ammar K. Al-Masri 《通讯和计算机（中英文版）》 2011年第1期58-62,共5页
The web development industry worldwide is dominated by a myriad of small firms. This presents a challenge in terms of determining the current practices of industry participants, and in devising improvement initiatives... The web development industry worldwide is dominated by a myriad of small firms. This presents a challenge in terms of determining the current practices of industry participants, and in devising improvement initiatives which are feasible for small firms. Currently, the level of adoption of best practice among web developers is unknown. To help improve the web industry, it is necessary to determine the current status of use of practices and techniques. Furthermore, the effectiveness of assessment-based software process improvement for small firms needs to be evaluated. In the last couple of years, one of the major trends for software development organizations was the move towards web application systems. Their processes usually are immature and ad-hoc. Often this is coupled with a less than positive attitude towards software engineering practices and, especially, software process improvement initiatives and software metrics collection. In particular, code metrics （such as lines of code, code complexity, etc.） and process improvements standards （such as the Capability Maturity Model） are often viewed as obsolete and assessing processes and metrics. 展开更多
关键词 Web applications, extreme programming, software process, small firms
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Compatibility-Aware Web APIs Recommendation via Subgraph Matching for Multimedia Mashup Development 认领 引用
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作者 Xiaoran Zhao Shanqun Lu +4 位作者 Chao Yan Ruowei Zhang Wanli Huang Sifeng Wang Rong Jiang 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2026年第2期1137-1150,共14页
The increasing number of available Web Application Programming Interfaces(APIs)in various service sharing communities have enabled software developers to develop their interested multimedia mashups quickly and conveni... The increasing number of available Web Application Programming Interfaces(APIs)in various service sharing communities have enabled software developers to develop their interested multimedia mashups quickly and conveniently.In this situation,a multimedia mashup with complex functionalities could be achieved by composing a set of pre-selected Web APIs by software developers.However,due to the APIs diversity in terms of development organization,programming language,invocation interface,etc,it is often difficult to determine the compatibility between the APIs selected by multimedia mashup developers beforehand especially when the developers have little background knowledge of APIs,which significantly decreases the successful rate of subsequent multimedia mashup development.In response to this challenge,we propose a subgraph matching-based compatible API’s composition recommendation method,called SubMCWACR.The advantage of SubMCWACR is that it can directly search for the API’s subgraphs that not only meet the functional requirements of the multimedia mashup but also are compatible with each other,thus boosting the effectiveness of multimedia mashup development.Through extensive experiments on a real dataset crawled from the Web API sharing platform ProgrammableWeb.com,we have demonstrated that our proposed recommendation method achieves significant improvements in terms of recommendation precision and compatibility compared with other competitive API recommendation methods. 展开更多
关键词 Web Application Programming Interfaces(APIs) subgraph matching compatibility combination recommendation multimedia mashup development
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MDGCN-Lt: Fair Web API Classification with Sparse and Heterogeneous Data Based on Deep GCN 认领 引用
4
作者 Boyuan Yan Yankun Zhang +4 位作者 Wenwen Gong Haoyang Wan Wenwei Wang Weiyi Zhong Caixia Bu 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2025年第3期1294-1314,共21页
Developers integrate web Application Programming Interfaces(APIs)into edge applications,enabling data expansion to the edge computing area for comprehensive coverage of devices in that region.To develop edge applicati... Developers integrate web Application Programming Interfaces(APIs)into edge applications,enabling data expansion to the edge computing area for comprehensive coverage of devices in that region.To develop edge applications,developers search API categories to select APIs that meet specific functionalities.Therefore,the accurate classification of APIs becomes critically important.However,existing approaches,as evident on platforms like programableweb.com,face significant challenges.Firstly,sparsity in API data reduces classification accuracy in works focusing on single-dimensional API information.Secondly,the multidimensional and heterogeneous structure of web APIs adds complexity to data mining tasks,requiring sophisticated techniques for effective integration and analysis of diverse data aspects.Lastly,the long-tailed distribution of API data introduces biases,compromising the fairness of classification efforts.Addressing these challenges,we propose MDGCN-Lt,an API classification approach offering flexibility in using multi-dimensional heterogeneous data.It tackles data sparsity through deep graph convolutional networks,exploring high-order feature interactions among API nodes.MDGCN-Lt employs a loss function with logit adjustment,enhancing efficiency in handling long-tail data scenarios.Empirical results affirm our approach’s superiority over existing methods. 展开更多
关键词 bidirectional encoder representations from transformers deep graph convolutional networks logit adjustment web application programming interface classification application programming interface correlation graph
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