《药品储存与养护》教学改革与实践

目的:为培养适合企业发展需求的新型药品储存与养护人员提供参考。方法:通过调查研究了解企业需求、分析岗位职业能力要求,确定教学目标;以药品保管员、养护员岗位职业能力培养为核心,构建课程教学模块、探索有效的教学方法及合理的教学效果评价方法。结果与结论:明确了新时期企业对药品保管员、养护员的要求并确立了课程教学目标,构建出以岗位职业能力培养为核心的教学模块,摸索出适应职业能力形成的有效教学方法及全面、客观、合理的教学效果评价标准与方法,为培养适合企业发展要求的新型药品保管员与养护员提供有益的参考。     

iSDS: a self-configurable software-defined storage system for enterprise

ABSTRACT

Storage is one of the most important aspects of IT infrastructure for various enterprises. But, enterprises are interested in more than just data storage; they are interested in such things as more reliable data protection, higher performance and reduced resource consumption. Traditional enterprise-grade storage satisfies these requirements at high cost. It is because traditional enterprise-grade storage is usually designed and constructed by customised field-programmable gate array to achieve high-end functionality. However, in this ever-changing environment, enterprises request storage with more flexible deployment and at lower cost. Moreover, the rise of new application fields, such as social media, big data, video streaming service etc., makes operational tasks for administrators more complex. In this article, a new storage system called intelligent software-defined storage (iSDS), based on software-defined storage, is described. More specifically, this approach advocates using software to replace features provided by traditional customised chips. To alleviate the management burden, it also advocates applying machine learning to automatically configure storage to meet dynamic requirements of workloads running on storage. This article focuses on the analysis feature of iSDS cluster by detailing its architecture and design.     

New batch construction heuristics to optimise the performance of order picking systems

Two new batch construction heuristics called K-means Batching (KMB) and Self-organisation Map Batching (SOMB) are developed and verified by simulation experiments. Both KMB and SOMB have a preferment of superior performance in total travel distance and average picking vehicle utility, and even a conspicuous improvement in total CPU running time. Besides, this paper investigates the overall performance of order picking systems integrating storage assignment, order batching and picker routing to find the optimal policy combinations under different order types. The sensitivity analysis is performed to distinguish the relative importance of the various strategies to enhance the performance of operations management.     

Impact of metal silos on households’ maize storage,storage losses and food security: An application of a propensity score matching

Maize is the most important food staple in Eastern and Southern Africa, with a highly seasonal production but relatively constant consumption over the year. Farmers have to store maize to bridge seasons, for food security and to protect against price fluctuations. However, the traditional storage methods do not protect grain well, resulting in large postharvest losses. Hermetically sealed metal silos kill storage pests by oxygen deprivation without pesticides. Popular in Central America, they are now being promoted in Africa, but their impact here has not yet been studied. This study used propensity score matching to evaluate the impact of metal silos on duration of maize storage, loss abatement, cost of storage, and household food security. Metal silo adopters (N = 116) were matched with non-adopting farmers from a representative sample of 1340 households covering the major maize-growing zones in Kenya. The major effect of the metal silos was an almost complete elimination of losses due to insect pests, saving farmers an average of 150–200 kg of grain, worth KSh9750 (US$130). Metal silo adopters also spent about KSh340 less on storage insecticides. Adopters were able to store their maize for 1.8–2.4 months longer, and to sell their surplus after five months at good prices, instead of having to sell right after the harvest. The period of inadequate food provision among adopters was reduced by more than one month. We conclude that metal silos are effective in reducing grain losses due to maize-storage insects, and that they have a large impact on the welfare and food security of farm households. The initial cost of metal silos is high (KSh20,000/1.8 ton) and therefore policies to increase access to credit, to reduce the cost of sheet metal, and to promote collective action can improve their uptake by smallholder farmers.     

罐存藤椒油全年品质变化规律的研究

通过测定储存在涂防晒涂料罐体中的藤椒油感官、酸值和过氧化值等指标,掌握存油品质变化规律。结果表明:藤椒油储存过程中香麻味先逐步减弱后麻度开始降低,麻度降低的过程中酸值、过氧化值升高,在1 a罐存期内各项检测指标均符合《绿色食品调味油》(NY/T2111-2011)标准中规定。     

云存储网盘综合性能评定

网盘是网络与存储技术结合的产物,已成为企业和个人存储和共享信息资源的重要工具,云存储技术的应用与无线网络的普及,为网盘发展带来了新前景。目前,国内外网盘品牌颇多且各具特色,本文选择国内现流行的五款产品,运用层次分析法评定其综合性能,发现高传输速度为网盘商带来竞争优势。     

高水分稻谷春季通风干燥试验

春季收购的新粳稻谷由于水分偏高,采用在粮库内铁路专用线站台上包打围临时储存,利用二机二风道先行降水到15．5％以后,再转入高大平房仓,利用谷物冷却机平衡水分、粮温,使其安全过夏;与烘干相比,能增收节支,实现高水分粳稻安全储藏,提高粮库经济效益。     

中国粮食仓储的历史与展望

粮食仓储作为中国历史发展中的重要载体,对于社会的繁荣、稳定和发展具有重要意义。本文主要论述了中国古代和现代粮食仓储的发展历史及其价值,并对粮食仓储未来的发展进行展望。     

基于ArcSDE和SQL Server 2005的城乡动态监测集成数据库的构建——以义乌市城乡动态监测集成数据库为例

海量城乡动态监测数据的组织和管理是城乡动态监测亟待解决的问题。本文以义乌市城乡动态监测集成数据库为例,在对城乡动态监测集成数据库特点进行深入分析的基础上,介绍了基于ArcSDE和SQL Server 2005的城乡动态监测集成数据库设计及构建流程,并对城乡动态监测数据分类与编码、数据库逻辑设计及数据库存储设计进行了详细阐述。     

Implications of domestic price insulation for global food price behavior

Rapid changes in global food prices in recent years are widely viewed as a serious threat to global development. While various sources of price instability in agriculture have been identified, little attention appears to have been given to the importance of changes in trade policies that insulate domestic prices from world markets as a source of volatility in world prices. A contribution of this paper is to show that these interventions are dynamically more complex than simple proportional insulation. Insulation against an initial price increase in world prices increases the magnitude of that increase, while subsequent adjustments to the level of protection change the fundamental nature of price volatility. We find such policies are widespread and increase the volatility of world prices while not reducing the volatility of domestic prices because of the collective action problem involved in this form of policy intervention.