Understanding Student Perspective of Undergraduate Cybersecurity Programs and Experiences Across Christian Colleges and Universities

The number of Christian colleges and universities that are offering cybersecurity four-year degrees is rising. The workforce is in dire need of cybersecurity professionals; however, has anybody asked the new cybersecurity professionals in the workforce how their recent academic experience prepared them for such a global need? Research is well-documented about what industry currently needs in cybersecurity professionals; however, this research focused on asking graduates what students need for the workforce. The purpose of this explorative qualitative study was to gain an understanding of the phenomena of the holistic experience (technical, nontechnical, and whole-person) strengths and shortcomings (if any) recent cybersecurity graduates who are now in the workforce experienced at various Christian colleges and universities during their undergraduate education. The population of this research was recent graduates of Christian undergraduate cybersecurity programs that are currently in the cybersecurity workforce. The gap that drove this study was the need to learn how current cybersecurity programs have influenced and molded students for the workforce and allow Christian cybersecurity program leaders to utilize this research and optimize the experience their students have at their institution. The theory which guided this exploratory research was academic outcomes assessment theory in which student opinions are sought to identify the satisfaction relationship their technical, nontechnical, and whole-person development in their Christian undergraduate program as preparation for real-world application. This qualitative, exploratory, phenomenological research identified Christian undergraduate program strengths and gaps, such as an overwhelming trend of recent cybersecurity graduates that are not fully satisfied with their technical development

Investigating cluster stability when analyzing transaction logs

© 2016 ACM.Data-driven approaches have become increasingly popular as a means for analyzing transaction logs from web search engines and digital libraries, for example using cluster analysis to identify common patterns of search and navigation behavior. However, steps must be taken to ensure that results are reliable and repeatable. Although clustering patterns of user interaction behavior has been previously explored, one aspect that has received less attention is cluster stability that can be used to aid cluster validation. In this paper we compute stability based on the Jaccard coefficient to investigate the cluster stability when using different subsets of transaction log data from WorldCat.org. Results provide insights into different types of search behaviors and highlight that clusters of varying degrees of stability will result from the clustering process. However, we show that additional investigation beyond the results of cluster stability is required to fully validate the resulting clusters

Fractal Markets Hypothesis and the Global Financial Crisis: Scaling, Investment Horizons and Liquidity

We investigate whether fractal markets hypothesis and its focus on liquidity and invest- ment horizons give reasonable predictions about dynamics of the financial markets during the turbulences such as the Global Financial Crisis of late 2000s. Compared to the mainstream efficient markets hypothesis, fractal markets hypothesis considers financial markets as com- plex systems consisting of many heterogenous agents, which are distinguishable mainly with respect to their investment horizon. In the paper, several novel measures of trading activity at different investment horizons are introduced through scaling of variance of the underlying processes. On the three most liquid US indices - DJI, NASDAQ and S&P500 - we show that predictions of fractal markets hypothesis actually fit the observed behavior quite well.Comment: 11 pages, 3 figure

Conference scene : Golden Helix Pharmacogenomics Days : educational activities on pharmacogenomics and personalized medicine

The Golden Helix Pharmacogenomics Days are high-profile international educational scientific meetings discussing pharmacogenomics and personalized medicine. Here, we provide an overview of the scientific lectures and the topics discussed during the 4th Golden Helix Pharmacogenomics Day, held in Cagliari, Italy, on 7 October 2011, and the 5th Golden Helix Pharmacogenomics Day, that was held in Msida, Malta, on 3 December 2011. The scientific programs of both events included scientific and company lectures on pharmacogenomics, bioinformatics and personalized medicine by local and international speakers from Europe and the USA.peer-reviewe

On the Zipf strategy for short-term investments in WIG20 futures

We apply the Zipf power law to financial time series of WIG20 index daily changes (open-close). Thanks to the mapping of time series signal into the sequence of 2k+1 'spin-like' states, where k=0, 1/2, 1, 3/2, ..., we are able to describe any time series increments, with almost arbitrary accuracy, as the one of such 'spin-like' states. This procedure leads in the simplest non-trivial case (k = 1/2) to the binary data projection. More sophisticated projections are also possible and mentioned in the article. The introduced formalism allows then to use Zipf power law to describe the intrinsic structure of time series. The fast algorithm for this implementation was constructed by us within Matlab^{TM} software. The method, called Zipf strategy, is then applied in the simplest case k = 1/2 to WIG 20 open and close daily data to make short-term predictions for forthcoming index changes. The results of forecast effectiveness are presented with respect to different time window sizes and partition divisions (word lengths in Zipf language). Finally, the various investment strategies improving ROI (return of investment) for WIG20 futures are proposed. We show that the Zipf strategy is the appropriate and very effective tool to make short-term predictions and therefore, to evaluate short-term investments on the basis of historical stock index data. Our findings support also the existence of long memory in financial data, exceeding the known in literature 3 days span limit.Comment: 13 pages, 6 figures, 1 table, presented at the 5-th FENS symposium on Physics in Economic and Social Systems, Warsaw 201

Relevance of pharmacogenomics for developing countries in Europe : implementation in the Maltese population

Pharmacogenomics is a promising new discipline that can realize personalized treatment for patients suffering from many common diseases, particularly those with multiple treatment modalities. Recent advances in the deciphering of the human genome sequence and high throughput genotyping technology have led to the reduction of the overall genotyping costs and enabled the inclusion of genotype-related dosing recommendations into drug package inserts, hence allowing the integration of pharmacogenomics into clinical practice. Although, pharmacogenomics gradually assumes an integral part in mainstream medical practice in developed countries, many countries, particularly from the developing world, still do not have access either to the knowledge or the resources to individualize drug treatment. The PharmacoGenetics for Every Nation Initiative (PGENI) aims to fill in this gap, by making pharmacogenomics globally applicable, not only by defining population-specific pharmacogenomic marker frequency profiles and formulating country-specific recommendations for drug efficacy and safety but also by increasing general public and healthcare professionals’ awareness over pharmacogenomics and genomic medicine. This article highlights the PGENI activities in Europe and its implementation in the Maltese population, in an effort to make pharmacogenomics readily applicable in European healthcare systems.peer-reviewe

Adiabatic Theorems for Generators of Contracting Evolutions

We develop an adiabatic theory for generators of contracting evolution on Banach spaces. This provides a uniform framework for a host of adiabatic theorems ranging from unitary quantum evolutions through quantum evolutions of open systems generated by Lindbladians all the way to classically driven stochastic systems. In all these cases the adiabatic evolution approximates, to lowest order, the natural notion of parallel transport in the manifold of instantaneous stationary states. The dynamics in the manifold of instantaneous stationary states and transversal to it have distinct characteristics: The former is irreversible and the latter is transient in a sense that we explain. Both the gapped and gapless cases are considered. Some applications are discusse

Analysis techniques for evaluating the fuel savings associated with wind assistance

Before steam and diesel engines, all cargo merchant ships were propelled by wind power. The arrival of cheap, high-density energy sources such as coal and oil and the economic benefits of the service speed and reliability that this enabled removed wind as a form of propulsion for much of the 20th century. However, higher prices for these energy commodities and environmental regulation, has led some to speculate that wind could return once again as a source of at least some share of a modern merchant ship’s propulsion energy requirement. A number of proposals for the technology that could enable this exist (e.g. soft-sails, wingsails and flettners), all share in common difficulties in their fair assessment, both relative to each other and relative to a conventionally powered ship. A moderately sized rig can supply anywhere between 0-100% of a merchant ship’s propulsion requirements, but this varies as a function of wind speed and direction, which in turn could vary several times a day over the course of multiple-day voyage. The weather, its variability and the specifics of a ship’s route are therefore all key components that render simpler ‘generic’ energy savings assessments meaningless. Furthermore, whilst conventional ships might sail a shortest distance route that avoids extreme weather, a wind-assisted ship might undertake more extreme variation in route and speed over the course of the voyage to maximize benefit obtained from the wind, and this in turn therefore needs to be taken into account in a fair comparison. This paper describes an analysis process that can be applied to any ship design and wind-assistance technology, to fairly evaluate the performance over a range of conditions, and then simulate the performance on a specific voyage using historical records of metocean parameters. The process is applied to an example design to illustrate the method