Miracle-dz/UniFAR-FTUs huggingface dataset:
A CPA attack against cryptographic hardware implementation on SASEBO-GII

Cryptographic circuits are used in electronic devices to protect the confidential data. Those circuits store the encryption key to use in the cryptographic algorithms as the Advanced Encryption Standard algorithm (AES). The Correlation Power Analysis attack (CPA) is powerful cryptanalysis techniques that based on exploiting a linear relation between the real and predicted cryptographic circuits' power consumption. In this paper, we explain the CPA attack process against AES implemented on SASEBO-GII FPGA platform. The experimental results demonstrate that the CPA attack based on Hamming Weight power consumption model cannot extract the correct AES keys. However, the CPA based on Hamming Distance power consumption model can extract successfully all the encryption key bytes. In addition, the CPA attacks results show that using Hamming Distance, 100% of encryption key appears at about 4300 power traces.
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition

Recent advances in neural network based acoustic modelling have shown significant improvements in automatic speech recognition (ASR) performance. In order for acoustic models to be able to handle large acoustic variability, large amounts of labeled data is necessary, which are often expensive to obtain. This paper explores the application of adversarial training to learn features from raw speech that are invariant to acoustic variability. This acoustic variability is referred to as a domain shift in this paper. The experimental study presented in this paper leverages the architecture of Domain Adversarial Neural Networks (DANNs) [1] which uses data from two different domains. The DANN is a Y-shaped network that consists of a multi-layer CNN feature extractor module that is common to a label (senone) classifier and a so-called domain classifier. The utility of DANNs is evaluated on multiple datasets with domain shifts caused due to differences in gender and speaker accents. Promising empirical results indicate the strength of adversarial training for unsupervised domain adaptation in ASR, thereby emphasizing the ability of DANNs to learn domain invariant features from raw speech.
The Anolis dewlap: interspecific variability and morphological associations with habitat

TheAnolis dewlap is a highly specialized display organ that shows considerable interspecific variability throughout the genus. Differences among many species in dewlap lepidosis provide several characters that are taxonomically useful. There are more or less distinct gorgetal and sternal scale-row arcs that differ interspecifically in number of rows, as well as in number, shape and size of the scales. There are small, closely set granular scales, here termed apicals, at the anterior and posterior corners of the dewlap. Anolis dewlaps are generally bordered by enlarged, imbricate marginals of a variable number of rows. Besides scalation, other interspecific differences occur in color, pattern and size of the dewlap. Where seasonally dry climates limit reproduction to a short and concentrated annual breeding season, dewlaps are usually relatively large and brightly colored. In relatively aseasonal climates of tropical rainforests and cloud forests, dewlaps are often relatively small and, whereas some are brightly colored, others are a dull brown, tan or white. These differences in dewlap size are significantly correlated with another variable that is linked to seasonality of environmentssexual size difference (males are larger than females in seasonal environments). In some instances, there also may be compensatory development of bright colors in small dewlaps or large size in those that are dull colored. MANY genera of iguanid lizards have conspicuous and distinctive organs, colorations or behaviors developed for visual display; the anole dewlap is one of the most specialized of these and is unique in various respects. Although characteristics of color and pattern of dewlaps have often been used in species descriptions of Anolis and are commonly used by many field-workers as means to identify species, most other morphological characteristics of dewlaps have received little study. Rand and Williams (1970) studied dewlap variability among eight sympatric species of Anolis at a single locality in Hispaniola, and considered the differentiation as it related to the premating isolation of the species. On the mainland of Middle America, however, considerably fewer species of Anolis are sympatric at most localities, and therefore the potential for interspecific competition and hybridization is greatly reduced. Our previous observations of Anolis in Middle and South America have suggested that interspecific variation in several morphological characters of dewlaps may be associated with seasonality of habitat. These observations prompted this study of the associations of lepidosis, color and size of dewlaps with environ
Development of Highly Repellent Silica Particles for Protection of Hemp Shiv Used as Insulation Materials

New bio-materials have recently gained interest for use in insulation panels in walls, but wider adoption by the building industry is hindered by their intrinsic properties. The fact that such materials are mainly composed of cellulose makes them combustible, and their hydrophilic surface presents a high water uptake, which would lead to faster biodegradation. A hydrophobic treatment with silica particles was successfully synthesised via Stöber process, characterised, and deposited on hemp shiv. The surface of hemp shiv coated several times with 45 and 120 nm particles were uniformly covered, as well as extensively water repellent. Those samples could withstand in humidity chamber without loss of their hydrophobic property and no sign of mould growth after 72 h of exposure.
Pedagogy of the Oppressed ( 1968 ) by

Paulo Freire was exiled from Chile in 1964. Freire was the first director of the University of Recife's Cultural Extension Service that provided literacy programs to thousands of peasants. Freire and his coworkers taught the peasants not only skills for reading and writing, but they also introduced participation in the political process through knowledge of reading and writing as a desirable and attainable goal for all Brazilians. He inspired the poor to hope that they could have a voice in making life decisions. The Brazilian military and landowners were threatened by the peasant's desire for reform and to have their voices heard; they considered Freire's teaching to be radical. Freire was jailed, then sent into exile for his so-called "subversive" activities.
Internal Capital Markets in Times of Crisis: The Benefit of Group Affiliation in Italy

Firms affiliated with business groups survive the stress of the global financial and euro crises better than unaffiliated firms. Using granular data from Italy, we show that better performance stems partly from access to an internal capital market, as the survival value of group-affiliated firms increases with group-wide cash flow. Internal cash transfers increase when banks’ health deteriorates, with funds moving from cash-rich to cash-poor firms and, some evidence suggests, to firms with favorable investment opportunities. Internal capital markets’ role thus increases when external markets (banks) are distressed.
Enhancement of Hole Confinement by Monolayer Insertion in Asymmetric Quantum-Barrier UVB Light Emitting Diodes

We study the enhanced hole confinement by having a large bandgap AlGaN monolayer insertion (MLI) between the quantum well (QW) and the quantum barrier (QB). The numerical analysis examines the energy band alignment diagrams, using a self-consistent 6 × 6 k ·p method and, considering carrier distribution, recombination rates (Shockley-Reed-Hall, Auger, and radiative recombination rates), under equilibrium and forward bias conditions. The active region is based on AlaGa1-aN (barrier)/AlbGa1-bN (MLI)/AlcGa1-cN (well)/AldGa1-dN (barrier), where b d a c. A large bandgap AlbGa1 - bN mono layer, inserted between the QW and QB, was found to be effective in providing stronger hole confinement. With the proposed band engineering scheme, an increase of more than 30% in spatial overlap of carrier wavefunction was obtained, with a considerable increase in carrier density and direct radiative recombination rates. The single-QW-based UV-LED was designed to emit at 280 nm, which is an effective wavelength for water disinfection.
Modeling Uncertainty in Tidal Current Forecast Using Prediction Interval-Based SVR

This paper proposes a prediction interval-based model for modeling the uncertainties of tidal current prediction. The proposed model constructs the optimal prediction intervals (PIs) based on support vector regression (SVR) and a nonparametric method called a lower upper bound estimation (LUBE) method. In order to increase the modeling stability of SVRs that are used in the LUBE method, the idea of combined prediction intervals is employed. As the optimization tool, a flower pollination algorithm along with a two-phase modification method is presented to optimize the SVR parameters. The proposed model employs fuzzy membership functions to provide appropriate balance between the PI coverage probability (PICP) and PI normalized average width (PINAW), independently. The performance of the proposed model is examined on the practical tidal current data collected from the Bay of Fundy, NS, Canada.
Classification of speech under stress based on cepstral features and one-class SVM

This paper presents an approach that aims to recognize stressed speech utterances. Our work consists of extracting features using Mel Frequency Cepstral Coefficients (MFCC) and Gammatone Frequency Cepstral Coefficients (GFCC). Indeed, these features are classified with One-class Support Vector Machines (OC-SVM). The results of the proposed method are obtained by conducting speech samples of four stressed states from the SUSAS database. The system provides good performances with accuracy rate exceeding 98% with the different features extracted from the stressed database. A comparison between the classification accuracies obtained with OC-SVM and those given when we apply other multiclass Support Vectors Machines approaches is also presented.
Observation of far‐field Mach waves generated by the 2001 Kokoxili supershear earthquake

Regional surface wave observations offer a powerful tool for determining source properties of large earthquakes, especially rupture velocity. Supershear ruptures, being faster than surface wave phase velocities, create far‐field surface wave Mach cones along which waves from all sections of the fault arrive simultaneously and, over a sufficiently narrow frequency band, in phase. We present the first observation of far‐field Mach waves from the major Kokoxili earthquake (Tibet, 2001/11/14,Mw7.9) and confirm that ground motion amplitudes are indeed enhanced on the Mach cone. Theory predicts that on the Mach cone, bandpassed surface wave seismograms from a large supershear rupture will be identical to those from much smaller events with similar focal mechanisms, with an amplitude ratio equal to the ratio of the seismic moments of the two events. Cross‐correlation of 15–25 s Love waves from the Kokoxili event with those from a much smaller (Mw5) foreshock indicates a high degree of similarity (correlation coefficients ranging from 0.8 to 0.95) in waveforms recorded at stations near the far‐field Mach cone. This similarity vanishes away from the Mach cone. These observations provide further evidence for supershear propagation of the Kokoxili rupture, and demonstrate how this simple waveform correlation procedure can be used to identify supershear ruptures.
Antihypertensive activity of Hibiscus Sabdariffa aqueous calyx extract in Albino rats

The anti-hypertensive activity of aqueous calyx extract of Hibiscus sabdariffa on salt induce hypertensive albino rats was investigated for 28 days using the non invasive method. The extract and drug treated groups showed a significant (P < 0.01) reduction in diastolic and systolic blood pressure when compared to the normotensive and hypertensive rats. There was no significant difference (P > 0.05) between the drug treated group and the extract treated group during this treatment. Thus, this study further supports previous findings and the use of H. sabdariffa calyx extract in the treatment of hypertension.
Geometric cluster Monte Carlo simulation

We discuss a cluster Monte Carlo algorithm for lattice models, based on geometric transformations. We prove detailed balance when the transformation is self-inverse, and a symmetry of the Hamiltonian. This algorithm opens new possibilities, in particular for the efficient simulation of critical model systems, where the Metropolis method suffers from critical slowing down. We illustrate the generality of our method by applications to the Ising model in the constant-magnetization ensemble, and to the tricritical Blume-Capel model. @S1063-651X~98! 00905-2#
Association indices for quantifying social relationships: how to deal with missing observations of individuals or groups

Social network analysis has provided important insight into many population processes in wild animals. Constructing social networks requires quantifying the relationship between each pair of individuals in the population. Researchers often use association indices to convert observations into a measure of propensity for individuals to be seen together. At its simplest, this measure is just the probability of observing both individuals together given that one has been seen (the simple ratio index). However, this probability becomes more challenging to calculate if the detection rate for individuals is imperfect. We first evaluate the performance of existing association indices at estimating true association rates under scenarios where (i) only a proportion of all groups are observed (group location errors), (ii) not all individuals are observed despite being present (individual location errors), and (iii) a combination of the two. Commonly-used methods aimed at dealing with incomplete observations perform poorly because they are based on arbitrary observation probabilities. We then derive complete indices that can be calibrated for the different types of observation probabilities to generate accurate estimates of association rates. These are provided in an R package that readily interfaces with existing routines. We conclude that using calibration data is an important step when constructing animal social networks, and that in their absence, researchers should use a simple estimator and explicitly consider the impact of this on their findings.
Band gap and band parameters of InN and GaN from quasiparticle energy calculations based on exact-exchange density-functional theory

The authors have studied the electronic structure of InN and GaN employing G0W0 calculations based on exact-exchange density-functional theory. For InN their approach predicts a gap of 0.7eV. Taking the Burnstein-Moss effect into account, the increase of the apparent quasiparticle gap with increasing electron concentration is in good agreement with the observed blueshift of the experimental optical absorption edge. Moreover, the concentration dependence of the effective mass, which results from the nonparabolicity of the conduction band, agrees well with recent experimental findings. Based on the quasiparticle band structure the parameter set for a 4×4k∙p Hamiltonian has been derived.
Role of Coronary Myogenic Response in Pressure-Flow Autoregulation in Swine: A Meta-Analysis With Coronary Flow Modeling

Myogenic responses (pressure-dependent contractions) of coronary arterioles play a role in autoregulation (relatively constant flow vs. pressure). Publications on myogenic reactivity in swine coronaries vary in caliber, analysis, and degree of responsiveness. Further, data on myogenic responses and autoregulation in swine have not been completely compiled, compared, and modeled. Thus, it has been difficult to understand these physiological phenomena. Our purpose was to: (a) analyze myogenic data with standard criteria; (b) assign results to diameter categories defined by morphometry; and (c) use our novel multiscale flow model to determine the extent to which ex vivo myogenic reactivity can explain autoregulation in vivo. When myogenic responses from the literature are an input for our model, the predicted coronary autoregulation approaches in vivo observations. More complete and appropriate data are now available to investigate the regulation of coronary blood flow in swine, a highly relevant model for human physiology and disease.
Advancing the Adoption of a New Generation of Certifications ? A Theoretical Model to Explain the Adoption of Continuous Cloud Service Certification by Certification Authorities

Cloud certifications are a good means to assure users of high level of security and reliability of certified cloud services. However, cloud environments are highly dynamic due to the challenging cloud characteristics and fast technology life-cycles. We believe that current certifications fail to cope with an everchanging cloud environment because assessments are based only on manual expert assessments and periodic spot checks. We argue that continuous service certification (CSC) is required to assure reliable and trustworthy cloud services. To understand and enhance CSC’s rate of adoption, we examine the adoption process of CSC from the perspective of certification authorities by building on the Diffusion of Innovations theory and the Technology-Organization-Environment framework. Our findings reveal that the innovation’s characteristics, organizational and environmental influences will affect the adoption of CSC by certification authorities. We advance the understanding of the CSC adoption process by providing a synthesis and discussion of important factors.
Landscape Ecology: The Effect of Pattern on Process

Consideration of spatial dynamics in many areas of ecology has received increased attention during the past decade. For example, the role of disturbance in creating and maintaining a spatial mosaic in the rocky intertidal zone was studied. Patch size could be predicted very well by using a model based on past patterns of disturbance and on measured patterns of mussel movement and recruitment. The dynamics of many natural disturbances and their effects on the spatial mosaic have received considerable study in a variety of terrestrial and aquatic systems. This paper demonstrates that a long history of ecological studies provides a basis for the study of spatial patterns and landscape-level processes. However, the emphasis previously was on describing the processes that created the patterns observed in the biota. The explicit effects of spatial patterns on ecological processes have not been well studied; the emphasis on pattern and process is what differentiates landscape ecology from other ecological disciplines. Therefore, this review focuses on the characterization of landscape patterns and their effects on ecological processes.
Rapid diagnosis of chlamydial infections with the MicroTrak direct test

A direct test on clinical specimens, using fluorescein-labeled monoclonal antibodies, for Chlamydia trachomatis (MicroTrak [Syva Co.]) was evaluated for the rapid diagnosis of chlamydial infections. Asymptomatic females attending pregnancy or planned parenthood clinics were tested by the direct test and by a cell culture method. Of 401 paired, endocervical specimens, 398 (99.3%) gave identical direct and culture results. The overall sensitivity of the direct test was 96.3% (26 of 27), and the specificity was 99.5% (372 of 374) as compared with that of culture. More than four-fifths of the direct smears were read within ca. 2 min. In this study population, the performance of the direct specimen test was comparable to that of cell culture methods. Rapid turnaround time and elimination of the need for cell culture make the direct test a practical method for the specific diagnosis of chlamydial infections.
The Optimal Estimator of Objects ’ Lightness

We have recently shown that eye movements have an effect on lightness estimation of real objects. Observers tended to fixate points with above-average luminance and they overestimated the objects’ lightness. The matched lightness was higher when observers were forced to fixate a bright region of the object than when they fixated a darker region. In the present work we performed a simulation with a physically based rendering system, showing that this is an efficient and simple heuristic for the visual system to arrive at accurate and invariant judgments of lightness.
EAI Endorsed Transactions on Ambient Systems Research Article Managing Data in Help 4 Mood

Help4Mood is a system that supports the treatment of people with depression in the community. It collects rich cognitive, psychomotor, and motor data through a Personal Monitoring System and a Virtual Agent, which is then analysed by a Decision Support System; analysis results are fed back to patients and their treating clinicians. In this paper, we describe how the complex data is managed and discuss ethical issues. Data is stored in functional units that correspond to treatment relevant entities. Custom XML DTDs are defined for each unit, which are used to exchange information between system components. As far as possible, observations and findings are coded using SNOMED CT to ensure interoperability with other applications such as Electronic Health Records.
A JOINT KRIGING AND ZONATION APPROACH TO INVERSE GROUNDWATER MODELLING

An inverse method to estimate spatially varying transmissivities is presented. A priori estimation of the transmissivity field is carried out using the kriging method; however, to compensate for the uncertainty of the kriging model correction terms assumed to be proportional to the kriged standard deviations are introduced. The proportional factors, which are the model parameters to be optimized, are related to specific subregions. The aim of the combined kriging and zonation approach is to utilize all available information about the transmissivity and at the same time introduce a method for a differentiated evaluation and weighting of the information. The estimation of the correcting factors is based on least squares minimization of both head and concentration residuals. By coupling a separate estimation of the source concentration and the dispersivities a two-stage feed-back solution procedure is introduced where transmissivity parameters and specific transport parameters are adjusted alternately. The methodology is applied to the real-life case of the Vejen landfill located in Denmark.