Various Security Issues and their Remedies in Cloud Computing

The services of cloud computing is expending day by day. It has given shape to the theoretical infrastructure for future computations. The computational framework is running very fast worldwide towards cloud based architecture, though cloud computing is becoming very popular now a days but there are some other issues which should be considered-one of the major issue is security. In this paper, some major security issues has been analyzed and main emphasis is to rectify those issues

Electromagnetic response of LaO_0.94F_0.06FeAs: AC susceptibility and microwave surface resistance

We discuss on the electromagnetic response of a polycrystalline sample of LaO_0.94F_0.06FeAs exposed to DC magnetic fields up to 10 kOe. The low- and high-frequency responses have been investigated by measuring the AC susceptibility at 100 kHz and the microwave surface resistance at 9.6 GHz. At low as well as high DC magnetic fields, the susceptibility strongly depends on the amplitude of the AC driving field, highlighting enhanced nonlinear effects. The field dependence of the AC susceptibility exhibits a magnetic hysteresis that can be justified considering the intragrain-field-penetration effects on the intergrain critical current density. The microwave surface resistance exhibits a clockwise magnetic hysteresis, which cannot be justified in the framework of the critical-state models of the Abrikosov-fluxon lattice; it may have the same origin as that detected in the susceptibility.Comment: 8 pages, 4 embedded eps figures; Proceedings of the 9th EUCAS Conference (Dresden, Germany, September 13-17, 2009

UTILITIES AND LIMITATIONS OF CURRENT ANIMAL MODELS OF DEPRESSION

  Depression is one of the most debilitating medical conditions in the world today, yet its etiologies remain imprecise, and current treatments are not wholly helpful. Depression is more than just a feeling of sadness. Depression can affect the daily routine of an individual disrupting work, play, and overall ability to concentrate. People with depression usually experience a lack of interest and enjoyment in daily activities, notable weight loss or gain, sleeplessness or excessive sleeping, lack of energy, inability to concentrate, feelings of worthlessness or shame, and recurrent thoughts of suicide (diagnostic and statistical manual-V). It is projected to be the second leading cause of disability worldwide by 2020. It is estimated that depression currently affects 350 million people from around the world. There are a number of drugs of different pharmacological classes being used in the treatment of clinical depression. Animal models are indispensable tools in the search to identify new antidepressant drugs and to provide insights into the neuropathology that underlies the idiopathic disease state of depression. Animal models of depression can be used for a variety of purposes, including use as a tool for investigating aspects of the neurobiology and pathophysiology of depression, as an experimental model for studying the mechanism of action of antidepressant drugs and for screening antidepressant activity. None of existing animal models currently fulfil the existing criteria for an ideal animal model, and therefore, demands an insight view of the existing models of depression. This article attempts to review the most widely used animal models and highlights their important features with respect to different pharmacological classes of antidepressant drugs

Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases

In this paper, we present a Fragmented Hybrid Cloud (FHC) that provides a unified view of multiple geographically distributed private cloud datacenters. FHC leverages a fragmented usage model in which outsourcing is bi-directional across private clouds that can be hosted by static and mobile entities. The mobility aspect of private cloud nodes has important impact on the FHC performance in terms of latency and network throughput that are reversely proportional to time-varying distances among different nodes. Mobility also results in intermittent interruption among computing nodes and network links of FHC infrastructure. To fully consider mobility and its consequences, we implemented a layered FHC that leverages Linux utilities and bash-shell programming. We also evaluated the impact of the mobility of nodes on the performance of distributed databases as a result of time-varying latency and bandwidth, downsizing and upsizing cluster nodes, and network accessibility. The findings from our extensive experiments provide deep insights into the performance of well-known big data databases, such as Cassandra, MongoDB, Redis, and MySQL, when deployed on a FHC

Brief Motivational Intervention for Substance Use may Decrease Violence among Heavy Alcohol Users in a Jail Diversion Program

Rates of harmful alcohol use are high among justice-involved individuals and may contribute to violent recidivism. Robust treatments for alcohol-related violence in criminal justice systems are thus a public health priority. In this analysis of existing randomized controlled trial data (N = 105), we examined the impact of a brief motivational intervention (BMI) for harmful substance use on violent recidivism among individuals in a pretrial jail diversion program. Results indicated that, after controlling for violence history, the intervention’s impact on violent recidivism was moderated by baseline harmful alcohol use. Specifically, among people with severe alcohol problems at baseline, the BMI+standard care group had less violent recidivism at a 1-year follow-up than participants randomized to standard care alone. This finding was unchanged when we accounted for psychopathic traits. Our study provides preliminary evidence that a BMI may be useful for decreasing violent recidivism among heavy drinkers in criminal justice systems

Can we use Hare’s psychopathy model within forensic and non-forensic populations? An empirical investigation

Although psychopathy construct (SRP-SF) was assessed among various samples, prior research did not investigate whether the model proposed by Hare and colleagues can be used to capture psychopathy scores derived from forensic and non-forensic populations. The main objective of the current study was to test dimensionality, construct validity, and factorial invariance of the SRP-SF within prison (N = 730) and student (N = 2,506) samples. Our results indicate that the SRP-SF measure cannot be used in the same way within forensic and non-forensic samples, which may be due to the inclusion of criminal/antisocial traits as an integral part of psychopathy