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。     

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.     

Unsupervised regions based segmentation using object discovery

We present a new unsupervised algorithm to discovery and segment out common objects from multiple images. Compared with previous cosegmentation methods, our algorithm performs well even when the appearance variations in the foregrounds are more substantial than those in some areas of the backgrounds. Our algorithm mainly includes two parts: the foreground object discovery scheme and the iterative region allocation algorithm. Two terms, a region-saliency prior and a region-repeatness measure, are introduced in the foreground object discovery scheme to detect the foregrounds without any supervisory information. The iterative region allocation algorithm searches the optimal solution for the final segmentation with the constraints from a maximal spanning tree, and an effective color-based model is utilized during this process. The comparative experimental results show that the proposed algorithm matches or outperforms several previous methods on several standard datasets.     

In-vitro and in-vivo comparison of T-OA microemulsions and solid dispersions based on EPDC

The goal of this study was to enhance the absorption of a new water-insoluble antitumor lead compound, T-OA (3β-hydroxyolea-12-en-28-oic acid-3, 5, 6-trimethylpyrazin-2-methyl ester). Early-stage preparation discovery concept (EPDC) was employed in this study. Based on this concept, a microemulsion system was chosen as the method of improving bioavailability. The solubility of T-OA was checked in different oils, surfactants and cosurfactants. Ternary phase diagrams were constructed to evaluate the microemulsion domain. Developed high-performance liquid chromatography method was used to determine drug content. The transparent o/w microemulsion formulation composed of oleic acid (oil), Tween 80 (surfactant), ethanol (co-surfactant) and water enhanced the solubility of T-OA up to 20?mg/mL. It was characterized in terms of appearance, content, viscosity, zeta potential, conductivity, morphology and particle size. The particle size distribution, viscosity, conductivity and zeta potential were found to be 70?nm, 15.57?MPa?s, 44.1?μS?cm^?1 and ?0.174, respectively. Oral bioavailability of T-OA microemulsion and oleic acid solution were checked by using rat model. Contrast to the solid dispersion and proto drug, the area-under-the-curve (AUC) of T-OA microemulsion and oleic acid solution were significantly enhanced. The relative bioavailability of T-OA microemulsion was found to be 5654.7%, which is 57-fold higher than the pure drug. Improved T-OA solubility in microemulsion was found sustained 48?h in dilution study. While the solid dispersion may precipitate under the gastrointestinal circumstance based on dilution results. The in-vivo and in-vitro results indicated that, compare to improve the solubility, it is more important to maintain and prolong the T-OA dissolved status, for improvement of the in-vivo absorption.     

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.