Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic security monitoring for Virtualized Environments in Cloud computing

An architecture for dynamic security monitoring and enforcement for client software running in Virtualized Environments for Cloud computing is presented. Monitoring mechanisms check a set of policy-defined conditions at runtime in order to detect threats or anomalous behaviour. Enforcement is achievable by using secure software execution methods that comply with the defined policies. The presented architecture allows for context adaptation of the defined policies by using a new event-sequence language. Such automatic policy runtime enforcement is crucial to achieve proper security in virtualized platforms for cloud computing.
Le sport en prison : analyse socio-démographique des carrières sportives de détenus

Des detenus descendent une riviere en canoe-Kayak. L'opinion publique est heurtee. Heurtee par cette presence des detenus dans la "place sociale". Heurtee,, car dans les representations collectives, cette scene evoque l'idee que les conditions modernes de detention seraient trop souples pour etre reellement dissuasives. Pourtant, une approche historique permet de constater que l'introduction des activites sportives en prison a d'abord ete motivee par une logique disciplinaire. Puis, avec le temps, la pratique du sport en detention est egalement devenue un outil educatif praticipant a la mission de reinsertion des detenus. Mais l'acces aux activites sportives reste encore tres limite en milieu carceral. Pour beneficier des formes les plus gratifiantes de pratique sportive, exercer un sport de competition et beneficier de permissions de sortir sportives, le profil penal et socio-demographique des detenus doit repondre a des criteres fort selectifs. Par ailleurs, les contraintes carcerales expliquent des taux d'abandon eleves.
A phylogenetic study of Dothiorella and Spencermartinsia species associated with woody plants in Iran, New Zealand, Portugal and Spain

Dothiorella and Spencermartinsia are two botryosphaeriaceous genera with dark 2-celled conidia and found in parasitic, saprophytic or endophytic association with various woody host plants. Based on ITS and EF1-α sequence data and morphology, eight new species are described from Iran, New Zealand, Portugal and Spain. Of these, five species are placed in Dothiorella, namely D. iranica, D. parva, D. prunicola, D. sempervirentis and D. striata, and three species belong to Spencermartinsia named as S. citricola, S. mangiferae and S. plurivora. An identification key to the species of each genus is provided.
The Use of the Delphi Method to Determine the Benefits of the Personas Method – An approach to Systems Design

Recent reviews of the HCI literature acknowledge that the effect of the IT interface on individual learning has received limited attention in the past, and should be the focus of future research. At the same time, a review of the knowledge transfer literature also suggests a limited examination of the factors affecting the latter phase of transfer (i.e., knowledge internalization and recipient learning). The current manuscript attempts to bridge the HCI and knowledge transfer literatures by empirically examining the effect of the communication channel interface and the recipient’s characteristics on the recipient’s knowledge internalization.
Construction of equivariant vector bundles

Let $X$ be the wonderful compactification of a complex adjoint symmetric space $G/K$ such that $rk(G/K)=rk(G)-rk(K)$. We show how to extend equivariant vector bundles on $G/K$ to equivariant vector bundles on $X$, generated by their global sections and having trivial higher cohomology groups. This relies on a geometric construction of equivariant vector bundles in the setting of varieties with reductive group action and ``multiplicity-free'' subvarieties.
Multi-relay cooperative diversity protocol with improved spectral efficiency

Cooperative diversity protocols have attracted a great deal of attention since they are thought to be capable of providing diversity multiplexing tradeoff among single antenna wireless de- vices. In the high signal-to-noise ratio (SNR) region, cooperation is rarely required; hence, the spectral efficiency of the cooperative protocol can be improved by applying a proper cooperation selection technique. In this paper, we present a simple "cooperation selection" technique based on instantaneous channel measurement to improve the spectral efficiency of cooperative protocols. We show that the same instantaneous channel measurement can also be used for relay selection. In this paper two protocols are proposed-proactive and reactive; the selection of one of these protocols depends on whether the decision of cooperation selection is made before or after the transmission of the source. These protocols can successfully select cooperation along with the best relay from a set of available M relays. If the instantaneous source-to- destination channel is strong enough to support the system requirements, then the source simply transmits to the destination as a non- cooperative direct transmission; otherwise, a cooperative transmission with the help of the selected best relay is chosen by the system. Analysis and simulation results show that these protocols can achieve higher order diversity with improved spectral efficiency, i.e., a higher diversity-multiplexing tradeoff in a slow-fading environment.
Face verification using D-HMM and adaptive K-means clustering

In this paper, we propose a pseudo 2 Dimension Discrete HMM (P2D-DHMM) for face verification. Each face image is scanned for frontal face in two ways. One way from top to bottom and one way from right to left by a sliding window and two set features are extracted. 2D-DCT coefficients as features are extracted. K-means clustering is used for generation two codebook and then by the vector quantization (VQ) two code words for each face image are generated. These code words are used as observation vectors in training and recognition phase. Two separate Discrete HMM (each HMM for each way) is trained by Baum Welch algorithm for each set of containing image of the same face (λ<sup>v</sup><inf>c</inf>, λ<sup>h</sup><inf>c</inf>). A test face image is recognized by finding the best match (likelihood) between the image and all of the HMMs (λ<sup>v</sup><inf>c</inf> + λ<sup>h</sup><inf>c</inf>) face models using forward algorithm. Experimental results show the advantages of using P2D-DHMM recognizer engine instead of conventional continues HMM.
Formation control based on flocking algorithm in multi-agent system

This paper mainly addresses flocking control algorithm to implement the “boids” model of Reynolds among the formation control by nonholonomic multi-robots. Firstly, distributed flocking of multiple autonomous agents with double integrator dynamics is studied. The proposed flocking algorithm is a gradient-based protocol combined with a velocity consensus protocol. For the gradient-based term, smooth artificial potential functions which could cope with the problem of shape generation are devised for all the agents. Moreover, the proposed coordinated protocols are applied to the formation control of a team of nonholonomic mobile robots. Finally, simulations and experiments show that the proposed controllers ensure the group formation is stabilized to a desired shape, while all the robots' velocities and directions converge to the same.
New generation of hydraulic pedotransfer functions for Europe

A range of continental‐scale soil datasets exists in Europe with different spatial representation and based on different principles. We developed comprehensive pedotransfer functions (PTFs) for applications principally on spatial datasets with continental coverage. The PTF development included the prediction of soil water retention at various matric potentials and prediction of parameters to characterize soil moisture retention and the hydraulic conductivity curve (MRC and HCC) of European soils. We developed PTFs with a hierarchical approach, determined by the input requirements. The PTFs were derived by using three statistical methods: (i) linear regression where there were quantitative input variables, (ii) a regression tree for qualitative, quantitative and mixed types of information and (iii) mean statistics of developer‐defined soil groups (class PTF) when only qualitative input parameters were available. Data of the recently established European Hydropedological Data Inventory (EU‐HYDI), which holds the most comprehensive geographical and thematic coverage of hydro‐pedological data in Europe, were used to train and test the PTFs. The applied modelling techniques and the EU‐HYDI allowed the development of hydraulic PTFs that are more reliable and applicable for a greater variety of input parameters than those previously available for Europe. Therefore the new set of PTFs offers tailored advanced tools for a wide range of applications in the continent.
Gene X Environment Interactions in Schizophrenia and Bipolar Disorder: Evidence from Neuroimaging

Introduction: Schizophrenia (SZ) and Bipolar disorder (BD) are considered as severe multifactorial diseases, stemming from genetic and environmental influences. Growing evidence supports gene x environment (GxE) interactions in these disorders and neuroimaging studies can help us to understand how those factors mechanistically interact. No reviews synthesized the existing data of neuroimaging studies in these issues. Methods: We conduct a systematic review on the neuroimaging studies exploring GxE interactions relative to SZ or BD in PubMed. Results: First results of the influence of genetic and environmental risks on brain structures came from monozygotic twin pairs concordant and discordant for SZ or BD. Few structural magnetic resonance imaging (sMRI) studies have explored the GxE interactions. No other imaging methods were found. Two main GxE interactions on brain volumes have arisen. First, an interaction between genetic liability to SZ and obstetric complications on gray matter, cerebrospinal fluid, and hippocampal volumes. Second, cannabis use and genetic liability interaction effects on cortical thickness and white matter volumes. Conclusion: Combining GxE interactions and neuroimaging domains is a promising approach. Genetic risk and environmental exposures such as cannabis or obstetrical complications seem to interact leading to specific neuroimaging cerebral alterations in SZ. They are suggestive of GxE interactions that confer phenotypic abnormalities in SZ and possibly BD. We need further, larger neuroimaging studies of GxE interactions for which we may propose a framework focusing on GxE interactions data already known to have a clinical effect such as infections, early stress, urbanicity, and substance abuse.
Personal Navigation and Indoor Mapping: Performance Characterization of Kinect Sensor-based Trajectory Recovery

SUMMARY The Microsoft Kinect™ sensor has gained popularity in a large number of applications beyond its intended original design of being a 3D human interface device, including indoor mapping and navigation of pushcart and backpack sensor platforms. Indoor mapping and personal navigation systems are generally based on the multisensory integration model, as currently no sensor itself can provide a robust and accurate navigation solution. To assess the error budget as well as to support the design of such systems, the individual sensor error budgets should be known (estimated). In this paper, a performance analysis of the Kinect sensor is provided based on a series of indoor tests, where sufficient control, based on UWB trajectory reference, was available. The main goal of the study is to assess the trajectory reconstruction performance from Kinect imagery only, using widely available mainstream computer vision methods to process 2D and 3D image sequences. Test data was acquired by the Kinect sensor mounted on the top of a pedestrian backpack navigation prototype in forward looking orientation with a clear field of view, and a user walked a hallway loop in several patterns. The results were evaluated based on a UWB-based reference solution.
Design and Implementation of Wireless Trusted Access Protocol for Embedded Trusted Endpoints

Trusted computing technology provides powerful support for the solution to security issues of embedded endpoints in mobile computing environment. When an endpoint connects to the network, the predefined security policy should be checked. Only the one that meets the security policy will be allowed to access to the network. Meanwhile, the one that does not meet the security policy will be isolated. Therefore all the insecure endpoints will be refused to access the network automatically until they satisfy the policy. A lot of wireless network security issues can be solved effectively by making use of trusted endpoints and trusted access technology. In this paper, a solution to construct the hardware and software of embedded trusted endpoints is proposed, and a trusted access mechanism based on the 802.1X and trusted network connection (TNC) technology defined by Trusted Computing Group is discussed, and the design and implementation of a trusted access protocol is given. Both the trusted access mechanism and the trusted access protocol can be used in wireless networks.
Mutations in the EPHA2 Gene Are a Major Contributor to Inherited Cataracts in South-Eastern Australia

Congenital cataract is the most common cause of treatable visual impairment in children worldwide. Mutations in many different genes lead to congenital cataract. Recently, mutations in the receptor tyrosine kinase gene, EPHA2, have been found to cause congenital cataract in six different families. Although these findings have established EPHA2 as a causative gene, the total contribution of mutations in this gene to congenital cataract is unknown. In this study, for the first time, a population-based approach was used to investigate the frequency of disease causing mutations in the EPHA2 gene in inherited cataract cases in South-Eastern Australia. A cohort of 84 familial congenital or juvenile cataract index cases was screened for mutations in the EPHA2 gene by direct sequencing. Novel changes were assessed for segregation with the disease within the family and in unrelated controls. Microsatellite marker analysis was performed to establish any relationship between families carrying the same mutation. We report a novel congenital cataract causing mutation c.1751C>T in the EPHA2 gene and the previously reported splice mutation c.2826-9G>A in two new families. Additionally, we report a rare variant rs139787163 potentially associated with increased susceptibility to cataract. Thus mutations in EPHA2 account for 4.7% of inherited cataract cases in South-Eastern Australia. Interestingly, the identified rare variant provides a link between congenital and age-related cataract.
New Cost Function for Backpropagation Neural Networks withApplication to SAR Imagery

This paper proposes the minimization of a new cost function while training backpropagation (BP) neural networks to solve pattern classiication problems. The new cost function is referred to as the gain-weighted normalized-target mean-square error (GWNTMSE). The paper proves that the minimization of the GWNTMSE is optimal in the sense of yielding network classiier with minimum variance from the optimal Bayes classiier in the limit of an asymptotically large number of statistically independent training patterns. Experimental results are presented. The application selected is the classiication of ship targets in airborne synthetic aperture radar (SAR) imagery. The number of ship classes is 8. They represent 2 destroyers, 2 cruisers, 2 aircraft carriers, a frigate, and a support ship. The obtained results indicate that BP classiiers trained by minimizing the GWNTMSE consistently outperform those trained by minimizing the standard MSE.
Vehicle Power Line Communication (VPLC) using SDR demonstrator

This paper deals with the implementation of a power line communication system for vehicle (VPLC) u sing ETTUS platforms combined with GNU Radio environment. This flexible platform allows many configurations of the PHY and MAC layers of the PLC system. They can be tested in a real PLC environment, indoor or in-vehicle. In conjunction with ETTUS USRPs platform and daughter cards, the signal proce ssing performed in software is transmitted over a real channel. Several parameters and scenarios have been tested thanks to the different daughter cards without changing the signal processi ng.
FAST FINGERPRINT RECOGNITION USING SPIRAL

Identification based on fingerprints is an active area of research in biometrics. In this work we present a fast implementation of a recently developed fingerprint identification algorithm based on wavelet packets. We applied various general and domain-specific code optimization techniques to efficiently implement the registration phase, which takes as input a set of fingerprint images and produces an adapted packet tree and an associated wavelet domain template. The code for the actual identification is then generated automatically from a mathematical description of this packet tree using SPIRAL. We discuss the optimization techniques used and present various benchmarks that demonstrate the efficiency of our implementation.
Role of 18F-FDG PET Scans in Patients with Helicobacter pylori-Infected Gastric Low-Grade MALT Lymphoma

Background/Aims Endoscopic ultrasound (EUS) plays a crucial role in the assessment and treatment of low-grade gastric mucosa-associated lymphoid tissue (MALT) lymphoma; however, interobserver variation, inadequate accuracy in judging the depth of tumor invasion, and histological heterogeneity of the tumor can limit its role. Thus, we have assessed the role of 18F-FDG PET scans in the management of Helicobacter pylori-infected gastric MALT lymphoma. Methods Eighteen patients with H. pylori-infected low-grade gastric MALT lymphoma underwent an 18F-FDG PET scan prior to receiving H. pylori eradication therapy. We analyzed these patients' clinicopathologic data and measured the baseline and change in the metabolic activity of the tumor using standardized uptake values (SUVs). Results Two patients failed to achieve complete remission of the low-grade gastric MALT lymphoma after successful H. pylori eradication. The baseline SUVs were significantly higher in these patients compared to successfully treated patients, 13.35±0.07 vs 2.98±0.93, respectively (n=2 vs n=16, p<0.001). The reduction in the SUV was significantly greater in the complete remission patients compared to treatment failure patients (p=0.018). Conclusions A high SUV at baseline 18F-FDG PET and a lower reduction in the SUV within 3 months after eradication therapy are associated with treatment failure in H. pylori-positive low-grade gastric MALT lymphoma patients undergoing eradication treatment.
Insights into Muscle Degeneration from Heritable Inclusion Body Myopathies

Muscle mass and function are gradually lost in age-related, degenerative neuromuscular disorders, which also reflect the clinical hallmarks of sarcopenia. The consensus definition of sarcopenia includes a condition of age-related loss of muscle mass, quality, and strength. The most common acquired muscle disease affecting adults aged over 50 years is sporadic inclusion body myositis (sIBM). Besides inflammatory effects and immune-mediated muscle injury, degenerative myofiber changes are characteristic features of the disease. Although the earliest triggering events in sIBM remain elusive, a plethora of downstream mechanisms are implicated in the pathophysiology of muscle wasting. Although it remains controversial whether hereditary forms of inclusion body myopathy (IBM) may be considered as degenerative sIBM disease models, partial pathophysiological aspects can mimic the much more frequent sporadic condition, in particular the occurrence of inclusion bodies in skeletal muscle. Various clinical aspects in genetically determined skeletal muscle disorders reflect age-related alterations observed in sarcopenia. Several intriguing clues from monogenic defects in heritable IBMs contributing to the molecular basis of muscle loss will be discussed with special emphasis on inclusion body myopathy with Paget’s disease of bone and frontotemporal dementia (IBMPFD) and GNE myopathy. Finally, also the recently identified dominant multisystem proteinopathy will be considered, which may rarely present as IBM.
Compensation for Blur Requires Increase in Field of View and Viewing Time

Spatial resolution is an important factor for human pattern recognition. In particular, low resolution (blur) is a defining characteristic of low vision. Here, we examined spatial (field of view) and temporal (stimulus duration) requirements for blurry object recognition. The spatial resolution of an image such as letter or face, was manipulated with a low-pass filter. In experiment 1, studying spatial requirement, observers viewed a fixed-size object through a window of varying sizes, which was repositioned until object identification (moving window paradigm). Field of view requirement, quantified as the number of “views” (window repositions) for correct recognition, was obtained for three blur levels, including no blur. In experiment 2, studying temporal requirement, we determined threshold viewing time, the stimulus duration yielding criterion recognition accuracy, at six blur levels, including no blur. For letter and face recognition, we found blur significantly increased the number of views, suggesting a larger field of view is required to recognize blurry objects. We also found blur significantly increased threshold viewing time, suggesting longer temporal integration is necessary to recognize blurry objects. The temporal integration reflects the tradeoff between stimulus intensity and time. While humans excel at recognizing blurry objects, our findings suggest compensating for blur requires increased field of view and viewing time. The need for larger spatial and longer temporal integration for recognizing blurry objects may further challenge object recognition in low vision. Thus, interactions between blur and field of view should be considered for developing low vision rehabilitation or assistive aids.
Single-Carrier Modulation for Neutral-Point-Clamped Inverters in Three-Phase Transformerless Photovoltaic Systems

Modulation strategy is one of the most important issues for three-level neutral-point-clamped inverters in three-phase transformerless photovoltaic systems. A challenge for modulation is how to keep the common-mode voltages constant to reduce the leakage currents. A single-carrier modulation strategy is proposed. It has a very simple structure, and the common-mode voltages can be kept constant with no need of complex space-vector modulation or multicarrier pulsewidth modulation. Experimental results verify the theoretical analysis and the effectiveness of the presented method.
Investing in employability interventions? : methodological challenges and economic evaluation results

At some point, we will all experience work limitations due to health issues. In some cases, these limitations can lead to a reduction in work efficiency or absenteeism. In the Netherlands, the cost of absenteeism weighs most heavily on employers, who are expected to pay 70% of the absent employee’s salary for a maximum of two years. Various employability interventions have been developed to help minimise costs and facilitate reintegration. Interventions that focus on cooperation are the most cost-effective and therefore the most recommended. These include interventions that focus on the prevention and early detection of work-related health problems by encouraging an active role by company doctors and interventions that focus on employee-employer cooperation with the help of a mediator.