SMEs Attitudes to “Information Assurance” and Consequences for the Digital Single Market

It is now generally accepted that cyber crime represents a big threat to organisations, and that they need to take appropriate action to protect their valuable information assets. However, current research shows that, although small businesses understand that they are potentially vulnerable, many are still not taking sufficient action to counteract the threat. Last year, the authors sought, through a more generalised but categorised attitudinal study, to explore the reasons why smaller SMEs in particular were reluctant to engage with accepted principles for protecting their data. The results showed that SMEs understood many of the issues. They were prepared to spend more but were particularly suspicious about spending on information assurance. The authors’ current research again focuses on SME attitudes but this time the survey asks only questions directly relating to information assurance and the standards available, in an attempt to try to understand exactly what is causing them to shy away from getting the badge or certificate that would demonstrate to customers and business partners that they take cyber security seriously. As with last year’s study, the results and analysis provide useful pointers towards the broader business environment changes that might cause SMEs to be more interested in working towards an appropriate cyber security standard.

Réforme de l'assurance emploi de 2012 et mobilité des travailleurs saisonniers vers les emplois permanents

Le régime d’assurance emploi canadien a connu plusieurs réformes dont la dernière en date est celle de 2012 considérée comme l’une des plus contraignantes. Les travailleurs saisonniers seraient une des catégories de travailleurs les plus touchés par la réforme au regard des nouvelles conditions du régime et de la fréquence de recours de ces travailleurs aux prestations. Dans ce mémoire, nous utilisons un modèle de régression par la méthode des différences en différences afin de simuler l’effet positif de cette réforme sur la mobilité des travailleurs saisonniers vers les emplois permanents. Les résultats obtenus suggèrent que cette politique publique a un effet positif sur la mobilité des travailleurs saisonniers vers les emplois permanents même si cet impact semble être faible étant donné la courte période de l’étude.

Implementing the European quality assurance in vocational education and training (EQAVET) at national level: Some insights from the PEN Leonardo project

EQAVET, the quality assurance tool in vocational and educational training, was developed in response to the need for a supply of a trained workforce for labour market needs. Implementation of EQAVET at national level, however, remains a challenge. The research reported here focused on the implementation of QA processes by VET providers in 4 countries: Malta, Italy, Turkey, and Sweden. Data was collected through a questionnaire with 62 VET providers. Responses showed that there is an overall commitment to quality. There is, however, little knowledge of EQAVET across the countries, with the exception of Malta. None the less, all VET providers have implemented some aspects of EQAVET, even if not always intentionally. The situation is, however, far from EQAVET being fully implemented. Reflections are made on whether the EQAVET model specifically or qualification assurance principles assurances should be promoted across Europe. (DIPF/Orig.)

Large-Scale Controlled-Condition Experiment to Evaluate Light Weight Deflectometers for Modulus Determination and Compaction Quality Assurance of Unbound Pavement Materials

Compaction control using lightweight deflectometers (LWD) is currently being evaluated in several states and countries and fully implemented for pavement construction quality assurance (QA) by a few. Broader implementation has been hampered by the lack of a widely recognized standard for interpreting the load and deflection data obtained during construction QA testing. More specifically, reliable and practical procedures are required for relating these measurements to the fundamental material property—modulus—used in pavement design. This study presents a unique set of data and analyses for three different LWDs on a large-scale controlled-condition experiment. Three 4.5x4.5 m2 test pits were designed and constructed at target moisture and density conditions simulating acceptable and unacceptable construction quality. LWD testing was performed on the constructed layers along with static plate loading testing, conventional nuclear gauge moisture-density testing, and non-nuclear gravimetric and volumetric water content measurements. Additional material was collected for routine and exploratory tests in the laboratory. These included grain size distributions, soil classification, moisture-density relations, resilient modulus testing at optimum and field conditions, and an advanced experiment of LWD testing on top of the Proctor compaction mold. This unique large-scale controlled-condition experiment provides an excellent high quality resource of data that can be used by future researchers to find a rigorous, theoretically sound, and straightforward technique for standardizing LWD determination of modulus and construction QA for unbound pavement materials.

Anomaly Detection in Noisy Images

Finding rare events in multidimensional data is an important detection problem that has applications in many fields, such as risk estimation in insurance industry, finance, flood prediction, medical diagnosis, quality assurance, security, or safety in transportation. The occurrence of such anomalies is so infrequent that there is usually not enough training data to learn an accurate statistical model of the anomaly class. In some cases, such events may have never been observed, so the only information that is available is a set of normal samples and an assumed pairwise similarity function. Such metric may only be known up to a certain number of unspecified parameters, which would either need to be learned from training data, or fixed by a domain expert. Sometimes, the anomalous condition may be formulated algebraically, such as a measure exceeding a predefined threshold, but nuisance variables may complicate the estimation of such a measure. Change detection methods used in time series analysis are not easily extendable to the multidimensional case, where discontinuities are not localized to a single point. On the other hand, in higher dimensions, data exhibits more complex interdependencies, and there is redundancy that could be exploited to adaptively model the normal data. In the first part of this dissertation, we review the theoretical framework for anomaly detection in images and previous anomaly detection work done in the context of crack detection and detection of anomalous components in railway tracks. In the second part, we propose new anomaly detection algorithms. The fact that curvilinear discontinuities in images are sparse with respect to the frame of shearlets, allows us to pose this anomaly detection problem as basis pursuit optimization. Therefore, we pose the problem of detecting curvilinear anomalies in noisy textured images as a blind source separation problem under sparsity constraints, and propose an iterative shrinkage algorithm to solve it. Taking advantage of the parallel nature of this algorithm, we describe how this method can be accelerated using graphical processing units (GPU). Then, we propose a new method for finding defective components on railway tracks using cameras mounted on a train. We describe how to extract features and use a combination of classifiers to solve this problem. Then, we scale anomaly detection to bigger datasets with complex interdependencies. We show that the anomaly detection problem naturally fits in the multitask learning framework. The first task consists of learning a compact representation of the good samples, while the second task consists of learning the anomaly detector. Using deep convolutional neural networks, we show that it is possible to train a deep model with a limited number of anomalous examples. In sequential detection problems, the presence of time-variant nuisance parameters affect the detection performance. In the last part of this dissertation, we present a method for adaptively estimating the threshold of sequential detectors using Extreme Value Theory on a Bayesian framework. Finally, conclusions on the results obtained are provided, followed by a discussion of possible future work.

Assurance qualité en dissection virtuelle des faisceaux de la matière blanche par tractographie

Ce mémoire est divisé en quatre chapitres. D’abord, une introduction initie le lecteur au domaine des neurosciences. Ensuite, le chapitre 1 décrit les étapes de la dissection virtuelle par tractographie, à partir du phénomène physique de la diffusion jusqu’aux mesures statistiques des structures de la matière blanche. Le chapitre 2 présentera une nouvelle méthode d’assurance qualité, basée sur l’analyse volumique des faisceaux de la matière blanche, la contribution principale de ce mémoire. Finalement, la conclusion contient une discussion des problématiques non résolues ainsi que des perspectives d’avenir pour la tractographie.

Betalain rich functional extract with reduced salts and nitrate content from red beetroot (Beta vulgaris L.) using membrane separation technology

An initial laboratory-scale evaluation of separation characteristics of membranes with nominal molecular weight cut-offs (NMWCO) ranging from 30 kD down to 0.5 kD indicated effective separation of betalains in the 0.5 kD region. Subsequent pilot-level trials using 1 kD, loose reverse osmosis (LRO) and reverse osmosis (RO) spiral-wound membranes showed LRO membrane to be very efficient with up to 96% salt and 47% other dissolved solids removed while retaining majority of the pigment (∼98%) in the betalain rich extract (BRE). The total betalain content in the BRE increased up to 46%, the highest recovery reported so far at pilot scale level. Interestingly, more than 95% of the nitrates were removed from the BRE after the three diafiltrations. These studies indicate that membrane technology is the most efficient technique to produce BRE with highly reduced amounts of salts and nitrate content.

Separation and identification fresh water leeches of waters resources in Kordistan Province

In the primary studying, known leeches have included into free living and parasitic which the parasitic group, besides of direct impacts like: growth detraction, anemia, making wound in the connecting part with the skin, with making plat for secondary bacterial and molding infections in the toll place, is able to cause to transfer blood flagellate and virus to the fish too. Therefore, by accusing information related to fauna leeches of each area a risk factor from the viewpoint of the possibility of being or accusing transferred diseases by these leeches, one can predict and forehand about them. Freshwater leeches of Iran to present accurate recognition (morphological, molecular) have not been, and there are some limited reports from different parts of the country about them. One of the areas that its leeches have not been identified yet is Kurdistan, By having five latrines and big permanent rivers and 32000 springs and a lot of deep and semi-deep wells and this province is a convenient bed for growing aquatics in the country. Therefore, identifying risk factors for development of aquaculture on water resources is one important factor to access achieving development goals. For recognizing leeches of this province, some samples from 10 stands were token. Samples from under stones, sticking to the fish, turtles, plants and solid substances in the water were separated and after recording their physical characteristics, calming with 10% ethylic alcohol with 10% formalin become fixed and after painting with Carmen acetic acid by standard keys for 7 species of Helobdella stagnalis, Placobdella costata, Hemiclepsis marginata, Erpobdella octoculata, Hirudo medicinalis, Dina lineate lineata have been identified and described. Which Helobdella stagnalis has the highest distribution in the province and the minimum one is Hirudo medicinalis. However, that the data obtained in leeches in Kurdistan is a relatively complete collection in this research, recognizing fauna of these areas needs more studying. The Placobdella costata and Hemiclepsis marginata sticking to the fish were separated among identified species which showed that these are parasites for the fish. The sticking area of those leeches to the skin was accompanied with scales cast, damage to mucous membranes beneath the parasite and bleeding Was associated with Histopathology studying effect includes observing break and disconnection in the leech connecting place to the epithelial layer of epidermis in the skin, destroyed nucleus in skin Epithelial cells with observing necrosis in ulcerative place become of the leech and the sub acute inflammated penetration until acute necrosis with opening in Dermis layer is observable. Kidney of this fish have changes such as: proliferation, like proliferative kidney disease with increasing proliferative glomerular cells and increasing in membranous cells in Capillary corpuscle, observing necrotic cells in haematopoietic tissue of kidney along with increasing in infiltration of leukocyte's cells generally mono nucluars such as lymphocytes and less poly morpho nucluars such as neutrophiles that are symptoms of disorders causing anemia become of nourishing and sucking blood by the leech and creating a chronic kidney infection that originally root is in another place like the skin. Also Hemorrhagic anemia causes losing RBC's is because of using the host blood by the leech. (In this situation, one can see immature RBC red cells in Peripheral blood. To identify potential carriers of the leech to the viruses, after finding them in recorded stands and putting them in 75% ethanol for viruses cause IPN, VHS, IHN, they were tested by PCR that the conclusion of these experiments approved IPN virus in Hemiclepsis marginata and Hirudo medicinalis. This kind of leeches can act like a mechanical carrier and causing spreading the agent of this disease. It is worth mentioning that studying the pathogenicity of this virus for aquaculture sources, mentioned before needs more research. During the study of infected fish with leeches that was done after preparing bloody slides and staining them, no case blood parasites was observed. During a research about infecting fish experimentally to known leeches it become clear that 5 days after being in aquarium including leeches, samples of sticking Hirudo medicinalis leech to the golden carp with scales cast were observed. Including leeches to the fish started with molting the scales in the sticking area in the fish and fish become too uneasy and by rubbing themselves to the malls and things inside the aquarium, tried to separate them. Finally, after around 30 hours, leeches penetrate the skin, feeding from blood and tissue liquids and cause mortality the fish and then they become separated from them. If the corpse of these fish stayed in the aquarium, the Helobdella stagnalis and Erpobdella octoculata would start feeding them.

Controlled Vocabulary Enhancement through Crowdsourcing: Project Andvari, Micropasts, and Public Quality Assurance

Proceedings paper published by Society of American Archivists. Presented at conference in 2015 in Cleveland, OH (http://www2.archivists.org/proceedings/research-forum/2015/agenda#papers). Published by SAA in 2016.