Estimating Cloud Cover

The purpose of this activity was to help students understand the percentage of cloud cover and make more accurate cloud cover observations. Students estimated the percentage of cloud cover represented by simulated clouds and assigned a cloud cover classification to those simulations.     

Cloud storage for endosomes

Coordinated regulation of vesicle trafficking is critical for the proper functioning of a cell. The bulk of cellular transport vesicles are sequestered in a “perinuclear cloud”, with only a small fraction released to the cell periphery. Jongsma et al ( 2016 ) found that the ER‐associated E3 ubiquitin ligase RNF26 is responsible for establishing and maintaining the architecture of the perinuclear cloud and that this spatiotemporal positioning is critical for effective regulation of the endocytic and exocytic systems.     

Methods for Screening Cloud Point Temperatures

A novel and simple method for the measurement of cloud point temperatures of solutions is presented. Cloud point determination, which is currently used to establish the phase diagrams of protein solutions, is indicative of proteins interactions and constitutes a useful tool for food products engineering. We describe a novel experimental setup that allows screening of a large number of physical-chemical conditions in one measurement and the determination of cloud point temperatures both above and below ambient temperature. We use a simple method to avoid solvent evaporation and condensation, so that the set-up can be used for solutions prepared with a volatile solvent. We present the operating parameter range and the precision of the measurement. The optical properties of the system are calibrated with solutions of known transmittance, and the determination of cloud point temperatures is validated on a standard non-ionic surfactant solution. Finally, we demonstrate the efficiency of the method by determining the phase diagram of a wheat protein extract, soluble in a water/ethanol mixture. Complemented with differential scanning calorimetry measurements, the liquid-liquid phase transition can be determined up to a protein concentration of 250 g/L, a range inaccessible with conventional methods for this protein extract.     

云技术与医学信息化教育

云技术是一门信息资源整合、规模集约的前沿科技,与通信网络、物联网等一起成为新一代的信息技术。作为国家战略性新型产业,云技术以其安全、便捷、资源集约、配置动态、资源池化和透明等特征,不仅促进信息技术领域的深刻变革,同时也给人类社会的科学技术和教育发展带来了深远的影响。云技术因其多方面的优势正引起着教育的变革,同时也引发了人们对其用于医学教育中的兴趣。本文简述了传统的信息技术在医学教学方面中的应用,继而引入对云技术的概念、特点以及相关云服务平台,最后着重分析了云技术与现代教育理念的契合以及将其利用到医学教育中的优势。     

非离子表面活性剂介导的浊点萃取

与常规溶剂萃取方法相比,非离子表面活性剂介导的浊点萃取系统不需使用有机溶剂,也就避免了溶剂挥发对环境造成的污染.是一种环境友好的萃取分离手段,已被应用在许多领域.本文详细介绍了浊点系统在萃取金属离子、生物大分子和有机小分子方面的应用,并指出了浊点系统在实际应用中仍然存在的一些问题.     

Cloud services security-driven evaluation for multiple tenants

Cluster Computing - Cloud Computing has become a reliable solution for outsourcing business data and operation with its cost-effective and resource-efficient services. A key part of the success of...     

SOCCER: Self-Optimization of Energy-efficient Cloud Resources

Cloud data centers often schedule heterogeneous workloads without considering energy consumption and carbon emission aspects. Tremendous amount of energy consumption leads to high operational costs and reduces return on investment and contributes towards carbon footprints to the environment. Therefore, there is need of energy-aware cloud based system which schedules computing resources automatically by considering energy consumption as an important parameter. In this paper, energy efficient autonomic cloud system [Self-Optimization of Cloud Computing Energy-efficient Resources (SOCCER)] is proposed for energy efficient scheduling of cloud resources in data centers. The proposed work considers energy as a Quality of Service (QoS) parameter and automatically optimizes the efficiency of cloud resources by reducing energy consumption. The performance of the proposed system has been evaluated in real cloud environment and the experimental results show that the proposed system performs better in terms of energy consumption of cloud resources and utilizes these resources optimally.     

Electron Cloud Density Generated by Microring-Embedded Nano-grating System

We propose the use of the electron cloud generated by quasi-particle waves called polariton dipoles, which oscillated within a silicon microring-embedded gold grating system for quantum consciousness processing model. An embedded gold grating is coupled by a whispering gallery mode beam generated by a soliton pulse, from which the polariton waves oscillated with the plasma frequency at the Bragg wavelength. The excited polariton cloud by the external stimuli can be detected at the system output ports. The two states of the polariton (electron) are spin-up and spin-down that can process automatically and deliver to the network and cloud. In manipulation, the results obtained show the electron density increased by increasing the input power into the system. In application, the cell polariton cloud coupled by the external stimuli and patterned by the quantum cellular automata results, which localized in the cloud network and connected to the nerve cell access nodes. The coded polaritons connected to the nerve cell memory clouds, while the required commands are delivered to resonant cells via the network link. More stenographic codes can also be generated by other external stimuli sources, which can process similarly.

     

Cloud computing and validation of expandable in silico livers

Background  

In Silico Livers (ISLs) are works in progress. They are used to challenge multilevel, multi-attribute, mechanistic hypotheses about the hepatic disposition of xenobiotics coupled with hepatic responses. To enhance ISL-to-liver mappings, we added discrete time metabolism, biliary elimination, and bolus dosing features to a previously validated ISL and initiated re-validated experiments that required scaling experiments to use more simulated lobules than previously, more than could be achieved using the local cluster technology. Rather than dramatically increasing the size of our local cluster we undertook the re-validation experiments using the Amazon EC2 cloud platform. So doing required demonstrating the efficacy of scaling a simulation to use more cluster nodes and assessing the scientific equivalence of local cluster validation experiments with those executed using the cloud platform.     

Conflict and co-operation in White Cloud Mountain minnow schools

Schooling fish do not always behave co-operatively, and conflict is particularly evident when individuals compete for limited resources. In White Cloud Mountain minnows, Tanichrhys albonubes , aggression is associated with the defence of potential spawning sites. Agonistic encounters between males are more prevalent when available habitat is reduced and when the number of spawning sites (patches of weed) is restricted. Conversely, competition diminishes when the fish are in a potentially threatening situation, e.g. when they are exploring a new environment.     

Performance Evaluation of Resource Management in Cloud Computing Environments

Cloud computing is a computational model in which resource providers can offer on-demand services to clients in a transparent way. However, to be able to guarantee quality of service without limiting the number of accepted requests, providers must be able to dynamically manage the available resources so that they can be optimized. This dynamic resource management is not a trivial task, since it involves meeting several challenges related to workload modeling, virtualization, performance modeling, deployment and monitoring of applications on virtualized resources. This paper carries out a performance evaluation of a module for resource management in a cloud environment that includes handling available resources during execution time and ensuring the quality of service defined in the service level agreement. An analysis was conducted of different resource configurations to define which dimension of resource scaling has a real influence on client requests. The results were used to model and implement a simulated cloud system, in which the allocated resource can be changed on-the-fly, with a corresponding change in price. In this way, the proposed module seeks to satisfy both the client by ensuring quality of service, and the provider by ensuring the best use of resources at a fair price.     

云计算环境下电子病历一体化管理初探

在文件生命周期理论和文件连续体理论的基础上提出了电子病历一体化管理思想,分析电子病历一体化管理存在的障碍,阐述利用云计算技术进行电子病历一体化管理的必要性,从顶层设计、云服务模式选择、云平台构建、标准化建设、业务流程重组等方面加强电子病历一体化管理,使电子病历数据保持云端同步,从而提高电子病历的管理水平,方便数据提取和数据共享。     

Trust-Enhanced Cloud Service Selection Model Based on QoS Analysis

Cloud computing technology plays a very important role in many areas, such as in the construction and development of the smart city. Meanwhile, numerous cloud services appear on the cloud-based platform. Therefore how to how to select trustworthy cloud services remains a significant problem in such platforms, and extensively investigated owing to the ever-growing needs of users. However, trust relationship in social network has not been taken into account in existing methods of cloud service selection and recommendation. In this paper, we propose a cloud service selection model based on the trust-enhanced similarity. Firstly, the direct, indirect, and hybrid trust degrees are measured based on the interaction frequencies among users. Secondly, we estimate the overall similarity by combining the experience usability measured based on Jaccard’s Coefficient and the numerical distance computed by Pearson Correlation Coefficient. Then through using the trust degree to modify the basic similarity, we obtain a trust-enhanced similarity. Finally, we utilize the trust-enhanced similarity to find similar trusted neighbors and predict the missing QoS values as the basis of cloud service selection and recommendation. The experimental results show that our approach is able to obtain optimal results via adjusting parameters and exhibits high effectiveness. The cloud services ranking by our model also have better QoS properties than other methods in the comparison experiments.