兴隆庄煤矿生态系统服务价值评估

以兖州矿区兴隆庄煤矿为例,基于1990-2018年间的遥感影像数据,从供给、调节、支持和文化4个方面对兴隆庄生态系统服务价值进行测算评估,并分析其动态变化度及敏感性。评估结果表明,总生态服务价值表现为先增加后减少,1990-2010年矿区生态系统服务总价值从18841.5万元增加至29034.2万元,主要原因是采煤塌陷导致耕地向塌陷水体转变以及林地面积的增加;2010-2018年生态总价值减少了2484.8万元,主要在于耕地大规模地转变为建设用地以及区域地下水位下降造成的水域面积减小。敏感性分析显示,耕地和水体是平原矿区生态系统服务价值最敏感的因素,耕地的敏感性指数由1990年的0.79降为2018年的0.28,说明其在生态服务价值中的影响逐年降低。     

基本公共服务均等化背景下吉林市社区养老问题研究

近年来，以推进基本公共服务均等化为依托而促进养老等社会服务的发展已成为各省市的重点工作之一，立足于吉林市市情，通过调查研究、定量分析等方式探索本地社区养老存在的问题以及对策。     

新冠肺炎疫情对上海经济社会发展的影响机制与应对策略

新型冠状病毒肺炎(以下简称新冠肺炎)疫情对上海经济社会发展造成了诸多影响,上海正在深入学习贯彻习近平总书记系列重要讲话精神,坚定推进"两手抓、两手硬、两手赢"。通过电话咨询部分企业家、查阅媒体相关文献、对比SARS疫情、政策分析等方式,研究认为新冠肺炎疫情对上海经济发展的影响可以从"短期-中期-长期"的时间序列进行分析,而对社会发展影响则可从"个人-社区-城市-社会"空间序列进行探讨,在影响机制的基础上还提出了相应的对策建议。     

杭州公共设施调研与分析——基于日常生活服务需求的视角

面对新形势下基本公共服务设施配置的新要求,杭州市开展了公共服务设施基本配套规定的评估与修订。有别于传统的"自上而下"制定各类设施配套标准的思路,此次评估与修订工作采用基于日常生活服务需求视角的"自下而上"的创新型思路,问卷与访谈相结合并将调研设施从公益性设施拓展到商业性设施,了解居民使用设施的频率、步行容忍时间等特征及对设施集中设置的意愿,以此为依据,对杭州市公共设施基本配套规定中设施类型的确定、设施功能的复合设置、服务半径的选取等方面提出建议。     

A self‐scalable load injection service

Load testing of applications is an important and costly activity for software provider companies. Classical solutions are very difficult to set up statically, and their cost is prohibitive in terms of both human and hardware resources. Virtualized cloud computing platforms provide new opportunities for stressing an application's scalability, by providing a large range of flexible and less expensive (pay‐per‐use model) computation units. On the basis of these advantages, load testing solutions could be provided on demand in the cloud. This paper describes a Benchmark‐as‐a‐Service solution that automatically scales the load injection platform and facilitates its setup according to load profiles. Our approach is based on: (i) virtualization of the benchmarking platform to create self‐scaling injectors; (ii) online calibration to characterize the injector's capacity and impact on the benched application; and (iii) a provisioning solution to appropriately scale the load injection platform ahead of time. We also report experiments on a benchmark illustrating the benefits of this system in terms of cost and resource reductions. Copyright © 2013 John Wiley & Sons, Ltd.     

NIOSH national survey of long-haul truck drivers: Injury and safety

Approximately 1,701,500 people were employed as heavy and tractor-trailer truck drivers in the United States in 2012. The majority of them were long-haul truck drivers (LHTDs). There are limited data on occupational injury and safety in LHTDs, which prompted a targeted national survey. The National Institute of Occupational Safety and Health conducted a nationally representative survey of 1265 LHTDs at 32 truck stops across the contiguous United States in 2010. Data were collected on truck crashes, near misses, moving violations, work-related injuries, work environment, safety climate, driver training, job satisfaction, and driving behaviors. Results suggested that an estimated 2.6% of LHTDs reported a truck crash in 2010, 35% reported at least one crash while working as an LHTD, 24% reported at least one near miss in the previous 7 days, 17% reported at least one moving violation ticket and 4.7% reported a non-crash injury involving days away from work in the previous 12 months. The majority (68%) of non-crash injuries among company drivers were not reported to employers. An estimate of 73% of LHTDs (16% often and 58% sometimes) perceived their delivery schedules unrealistically tight; 24% often continued driving despite fatigue, bad weather, or heavy traffic because they needed to deliver or pick up a load at a given time; 4.5% often drove 10 miles per hours or more over the speed limit; 6.0% never wore a seatbelt; 36% were often frustrated by other drivers on the road; 35% often had to wait for access to a loading dock; 37% reported being noncompliant with hours-of-service rules (10% often and 27% sometimes); 38% of LHTDs perceived their entry-level training inadequate; and 15% did not feel that safety of workers was a high priority with their management. This survey brings to light a number of important safety issues for further research and interventions, e.g., high prevalence of truck crashes, injury underreporting, unrealistically tight delivery schedules, noncompliance with hours-of-service rules, and inadequate entry-level training.     

P2Care: A dynamic peer-to-peer network for collaboration in personalized healthcare service delivery

In the healthcare domain, the quality of personalized service delivery is strongly tied with collaboration among multiple stakeholders for accurate and reliable access to a variety of distributed and heterogeneous information and services. Existing healthcare information systems lack collaboration since they offer limited accessibility to resources and pose many restrictions in terms of scalability and flexibility. In this work, we propose P2Care, a decentralized, dynamic, scalable and self-organized network that exploits the functionalities of the structured peer-to-peer networks in order to provide collaboration. P2Care provides efficient ubiquitous access to medical information by organizing participating entities into groups according to common characteristics and interests. It incorporates enhanced lookup mechanisms with low response time and signaling overhead. The performance of the P2Care system has been evaluated through simulations. A prototype application demonstrates the effectiveness of the proposed system for cooperation and collaboration in order to facilitate personalized service delivery.     

QoS-Aware Power Allocation Scheme for Relay Satellite Networks

This paper investigated a QoS-aware power allocation for relay satellite networks. For the given QoS requirements, we analyzed the signal model of relay transmission and formulated the power minimization problem which is non-convex and difficult to solve. To find the optimal solution to the considered problem, we first analyzed the optimization problem and equivalently turn it into a convex optimization problem. Then, we provided a Lagrangian dual-based method to obtain the closed-form of the power allocation and provided an iterative algorithm to the optimal solution.Moreover, we also extended the results to the cooperative transmission mode. Finally, simulation results were provided to verify the superiority of the proposed algorithm.     

SRS: Spatial-tagged radio-mapping system combining LiDAR and mobile-phone data for indoor location-based services

One of the most challenging issues in radio received signal strength (RSS)-based localization systems is the generation and distribution of a radio map with a coordinate system linked with spatial information in a large indoor space. This study proposes a novel spatial-tagged radio-mapping system (SRS) that effectively combines the heterogeneous properties of LiDAR and mobile phones to simultaneously perform both spatial and radio mappings. The SRS consists of synchronization, localization, and map building processes, and enables real-time spatial and radio mapping. In the synchronization process, the distance range, motion data, and radio signals obtained through the LiDAR and mobile phone are collected in nodal units according to the sensing time. In the localization process, a feature variance filter is used to control the number of features generated from LiDAR and estimate the positions at which the nodes are generated in real time according to the motion data and radio signals. In map building, the estimated positions of the nodes are used to extract spatial and radio maps by using a unified location coordinate system. To ensure mobility, the SRS is manufactured in the form of a backpack supporting LiDAR and a mobile phone; the usefulness of the system is experimentally verified. The experiments are performed in a large indoor shopping mall with a complex structure. The experimental results demonstrated that a common coordinate system could be used to build spatial and radio maps with high accuracy and efficiency in real time. In addition, the field applicability of the SRS to location-based services is experimentally verified by applying the constructed radio map to well-known fingerprinting algorithms using the heterogeneous mobile phones.