Miracle-dz/UniFAR-FTUs huggingface dataset:
Gendered Expressions of Psychopathy: Correctional Staffs' Perceptions of the CAPP and CABP Models

ABSTRACT It has been suggested that psychopathy and borderline personality disorder (BPD) are associated and that they could be differently gendered variants of the same underlying phenotype. This study explored gender-specific perceptions of the Comprehensive Assessment of Psychopathic Personality (CAPP) and the Comprehensive Assessment of Borderline Personality (CABP). Correctional staff (n = 87) were asked to rate the prototypicality of these models for women and men with psychopathy. The results provide further support for the CAPP model as a promising conceptualization of psychopathy. Findings show few gender differences and lend support to psychopathy and BPD as overlapping constructs.
Subjective and objective evaluation of HDR video compression

Recent efforts by MPEG and research community to standardize high dynamic range (HDR) video compression require efficient objective metrics. This paper investigates how well the currently available metrics measure perceptual quality of HDR video. For this purpose, subjective tests were conducted using SIM2 HDR monitor and several video sequences provided by MPEG. The sequences were compressed with HEVC encoder in YCbCr420 10bit and YCbCr444 12bit formats. The results of subjective tests were correlated with objective metrics to identify suitable metrics to use for the objective evaluations of different HDR video coding solutions. A few variants of PSNR, as well as SSIM, MSE, VIFP, and especially HDR-VDP-2 metric, have high correlation with the subjective scores.
SYMMETRIC IMPRIMITIVITY THEOREMS FOR GRAPH C*-ALGEBRAS

The C∗-algebra C∗(E) of a directed graph E is generated by partial isometries satisfying relations which reflect the path structure of the graph. In [10], Kumjian and Pask considered the action of a group G on C∗(E) induced by an action of G on E. They proved that if G acts freely and E is locally finite, then the crossed product C∗(E) × G is Morita equivalent to the C∗-algebra of the quotient graph E/G [10, Corollary 3.10]. This theorem bears a striking resemblance to a famous theorem of Green, which says that the crossed product C0(X)×G associated to a free and proper action of G on a locally compact space X is Morita equivalent to C0(X/G) [6]. So one naturally asks whether this resemblance can be pushed further: are there analogues for free actions on graphs of the other Morita equivalences associated to free and proper actions on spaces? Here we contribute to this circle of ideas by proving an analogue of the symmetric imprimitivity theorem of [15] and [12] concerning commuting free and proper actions of two different groups. The proofs of the Kumjian-Pask theorem in [10] and [9] rely on a result of Gross and Tucker which realises free actions as translations on skew products, and exhibit a stable isomorphism rather than a Morita equivalence. Here choosing a skew-product realisation for one of the actions would destroy the symmetry of the situation, so instead we construct directly an imprimitivity bimodule implementing the equivalence. This construction is of some interest even in the case of one action; it shows, for example, that the actions on C∗(E) induced by free actions on E provide a new family of actions which are proper and saturated in the sense of Rieffel ([16], see also [5, 8, 17]). Since our methods do not require any local-finiteness hypothesis on the graph E, our one-action result is more general than the original Kumjian-Pask theorem. In fact we shall prove two symmetric imprimitivity theorems, one for reduced crossed products (Theorem 1.9) and one for full crossed products (Theorem 2.1). We prove the theorem about reduced crossed products in §1, following the strategy of [4]. We show that every action on C∗(E) induced by a free action on E is proper in Rieffel’s sense, so that the machine of [16] gives a bimodule for each action. We then take crossed products of these bimodules by actions of the other groups, and tensor them to get a bimodule implementing the desired equivalence. In §2, we prove
Exertional Heat Stroke in Athletes

Abstract Exercising in hot and especially humid environment can cause rise in body core temperature to such a critical level that it does not only reduce performance, but also may ultimately lead to exertional heat stroke (EHS). This illness is true medical emergency that can result in significant morbidity and mortality, if not early recognized and promptly treated. Diagnostic criteria for EHS are body core temperature above 40°C and central nerve system dysfunction. Any athlete experiencing such symptoms should be immediately exposed to aggressive cooling treatment aimed to lower the elevated core temperature to near normal as quickly as possible. Ice water immersion is highly recommended as a cooling method because it provides the fastest cooling rates and is associated with lowest mortality rates. Athletes cooled rapidly soon after the onset of EHS usually recover without complications and are able to return to normal training in hot environment within a few weeks. EHS is also a preventable condition, and its occurrence can be minimized by implementing a few simple measures.
Victim Based Statistical Filtering : A New Deterrent Against Spoofed DoS Traffic

The extensive use of Internet and network based information resources on a global scale has led to the rise in a wide range of security incidents. One such attack is a TCP-SYN DoS attack, which makes use of IPSpoofing for its effectiveness. This paper presents a robust scheme for filtering spoofed DoS IP Packets in the Internet. We have proposed a robust filtering algorithm namely, Victim Based Statistical Filtering in this paper. The algorithm is inspired from the Hop-Count Filtering (HCF) method, which uses a corelation between IP addresses and their respective hop-counts to the destination server, to filter out the spoofed IP packets from the legitimate ones. The variation that we have proposed is adding the monitoring information of the usage levels of port numbers of the destination machine (victim), in the HCF Algorithm. The proposed VBSF algorithm was empirically evaluated and it was found to exhibit better performance than its predecessor.
Performance Assessment of Carrier Aggregation-Based Indoor Mobile Networks

The intelligent management and optimisation of radio resource technologies will lead to a considerable improvement in the overall performance in Next Generation Networks (NGNs). Carrier Aggregation (CA) technology, also known as Spectrum Aggregation, enables more efficient use of the available spectrum by combining multiple Component Carriers (CCs) in a virtual wideband channel. LTE-A (Long Term Evolution–Advanced) CA technology can combine multiple adjacent or separate CCs in the same band or in different bands. In this way, increased data rates and dynamic load balancing can be achieved, resulting in a more reliable and efficient operation of mobile networks and the enabling of high bandwidth mobile services. In this paper, several distinct CA deployment strategies for the utilisation of spectrum bands are compared in indoor-outdoor scenarios, simulated via the recently-developed Realistic Indoor Environment Generator (RIEG). We analyse the performance of the User Equipment (UE) by integrating the average throughput, the level of fairness of radio resource allocation, and other parameters, into one summative assessment termed a Comparative Factor (CF). In addition, comparison of non-CA and CA indoor mobile networks is carried out under different load conditions: varying numbers and positions of UEs. The experimental results demonstrate that the CA technology can improve network performance, especially in the case of indoor scenarios. Additionally, we show that an increase of carrier frequency does not necessarily lead to improved CF values, due to high wall-penetration losses. The performance of users under bad-channel conditions, often located in the periphery of the cells, can be improved by intelligent CA location. Furthermore, a combination of such a deployment and effective radio resource allocation management with respect to userfairness plays a crucial role in improving the performance of LTE-A networks. Keywords—Comparative factor, carrier aggregation, indoor mobile network, resource allocation.
Optimizing Image Processing on OMAP3 with driver-level frame buering and color space conversion

Onboard image processing for unmanned aerial vehicles (UAVs) has become a popular method in the recent decades and the number of available hardware solutions has increased. Growing processing power and reduced weight and size of the embedded systems facilitate more computational power onboard the UAVs, making real-time image processing feasible. With respect to the software framework, the OpenCV library provides a set of useful functions to extract information from images. In this paper we rst present a latency improvement over using OpenCV for camera input and show that the frame buer optimization results in a latency reduction of up to one fth compared to the OpenCV library. For the second part, we explain how utilizing direct driver access and hardware capabilities enables a faster color space conversion than OpenCV library functions. The color space conversion is tested with the L*a*b color space, which proves to be the right choice for our application, which is the detection of red objects in inhomogeneous light conditions. For our outdoor MAV application, the detection of six rectangular red objects takes no longer than about 50ms on average.
Stacked Ensemble Models for Improved Prediction Accuracy

Ensemble modeling is now a well-established means for improving prediction accuracy; it enables you to average out noise from diverse models and thereby enhance the generalizable signal. Basic stacked ensemble techniques combine predictions from multiple machine learning algorithms and use these predictions as inputs to second-level learning models. This paper shows how you can generate a diverse set of models by various methods such as forest, gradient boosted decision trees, factorization machines, and logistic regression and then combine them with stacked-ensemble techniques such as hill climbing, gradient boosting, and nonnegative least squares in SAS Visual Data Mining and Machine Learning. The application of these techniques to real-world big data problems demonstrates how using stacked ensembles produces greater prediction accuracy and robustness than do individual models. The approach is powerful and compelling enough to alter your initial data mining mindset from finding the single best model to finding a collection of really good complementary models. It does involve additional cost due both to training a large number of models and the proper use of cross validation to avoid overfitting. This paper shows how to efficiently handle this computational expense in a modern SAS environment and how to manage an ensemble workflow by using parallel computation in a distributed framework.
Nutritional Supplementation for the Treatment of Male Infertility

Infertility is a common healthcare problem affecting nearly 15% of couples. Although previous studies have focused on female factors as the primary cause, current research indicates that about 25% of cases are exclusively caused by a male factor, and nearly 30–40% of all infertility cases have direct contributions from male factor insufficiency [1]. Several research groups have also noted a steady decrease in sperm quality over the past 50 years, further contributing to male factor infertility [2,3]. CONTENTS
Development and Application of a New Unsteady Far-Field Drag Decomposition Method

Far-field drag extraction has the advantage over near-field integration of providing a physical breakdown of drag. A decomposition into components linked to shock waves, viscous interactions, and lift-induced vortices is straightforward for steady flows. A formulation based on thermodynamic considerations is used at ONERA–The French Aerospace Lab and by its partners but is restricted to steady cases. Another team made a first attempt in generalizing it to time-dependent flows, but their decomposition still holds terms that cannot be matched with physical phenomena. This paper presents another generalization to unsteady flows of the steady formulation. The proposed method relies on a strong theoretical background and allows the breakdown of drag into the three usual components only. This new unsteady formulation is applied to an OAT15A profile under a buffet condition, then to a NACA0012 profile at a high angle of attack with natural vortex shedding, and finally to a pitching profile. The results are analy.
Morphological family size in a morphologically rich language : The case of Finnish compared to Dutch and Hebrew . Morphological Family Size in Finnish Fermı́n

Finnish has a very productive morphology in which a stem can give rise to several thousand words. This study presents a visual lexical decision experiment addressing the processing consequences of the huge productivity of Finnish morphology. We observed that, in Finnish, words with larger morphological families elicited shorter response latencies. However, in contrast to Dutch and Hebrew, it is not the complete morphological family of a complex Finnish word that codetermines response latencies, but only the subset of words directly derived from complex word itself. Comparisons with parallel experiments using translation equivalents in Dutch and Hebrew showed substantial cross-language predictivity of family size between Finnish and Dutch, but not between Finnish and Hebrew, reflecting the different ways in which the Hebrew and Finnish morphological systems contribute to the semantic organization of concepts in the mental lexicon.
Effect of Potassium Oleate on Rheological Behavior of Cationic Guar in Aqueous Solution with Varying Temperatures

The rheology of the cationic guar (CG) solution was measured and the effects of potassium oleate (KOA) upon the rheological properties of CG solution were studied. The steady shear viscosity measurement has shown that the viscosity of CG solution increased dramatically in the presence of KOA. The viscosity enhancement of KOA upon CG solution can be approximate three orders in magnitude. The gel-like formation of CG solution is observed at the high concentration of KOA. The excess addition of KOA results in the phase separation of CG solution. The oscillatory rheological measurement has shown that the crossover modulus Gc (corresponding to either storage modulus G′ or loss modulus G″ at the frequency ωc where G′ equals G″) for CG solution, decreases with the increasing the concentration of KOA in solution. On the other hand, the apparent relaxation time τapp (=1/ωc) increases with increasing the concentration of KOA in solution. Our experimental results suggest that for surfactant such as KOA which has a s.
Nutritional and sensory properties of dry fermented sausages enriched with ω-3 PUFAs

Enrichment of dry fermented sausages with ω-3 fatty acids trough a partial substitution of pork backfat by deodorised fish oil resulted in improved nutritional properties with regard to conventional sausages, without affecting sensorial properties and oxidation status. The developed products supplied 0.64g EPA/100g and 0.46g DHA/100g product, and showed PUFA+MUFA/SFA ratio of 1.76 and ω-6/ω-3 ratio of 2.97. No signs of oxidation were found in any type of sausages, control and modified. None of the dienals and trienals reported as secondary lipid oxidation products and typical from fish oil were detected in the modified sausages. Instrumental colour differences were detected without relevance in the sensorial analysis. Sensory evaluation panel did not find differences in general acceptability. The modified dry fermented sausages can be considered a technological viable functional food.
Assessing the Long-Run Economic Impact of Labour Law Systems: A Theoretical Reappraisal and Analysis of New Time Series Data

Standard economic theory sees labour law as an exogenous interference with market relations and predicts mostly negative impacts on employment and productivity. We argue for a more nuanced theoretical position: labour law is, at least in part, endogenous, with both the production and the application of labour law norms influenced by national and sectoral contexts, and by complementarities between the institutions of the labour market and those of corporate governance and financial markets. Legal origin may also operate as a force shaping the content of the law and its economic impact. Time-series analysis using a new data set on legal change from the 1970s to the mid-2000s shows evidence of positive correlations between regulation and growth in employment and productivity, at least for France and Germany. No relationship, either positive or negative, is found for the UK and, although the United States shows a weak negative relationship between regulation and employment growth, this is offset by productivity gains.
IgY-Technology Applied to Studies of Toxoplasma gondii Infection

In this chapter, we describe relevant aspects of immunoglobulin Y (IgY) technology for Toxoplasma gondii applications, including comparison of avian IgY antibody with mam‐ malian IgG antibody, egg yolk IgY production and isolation procedures, important applications for IgY antibody, and state of the art and perspectives for IgY‐technology in T. gondii studies. T. gondii is a worldwide public health problem. IgY‐technology pro‐ vides an alternative antibody (IgY) to mammalian Immunoglobulin G (IgG) antibody. IgY‐technology involves the chicken immunization, yolk IgY isolation, antibody charac‐ terization, and purified IgY application to several kinds of methods. Immunized chicken transfers a specific IgY from blood to egg yolk. Phylogenetic distance between chickens and mammals influences the generation of antibody repertoires recognizing an antigen profile. IgY is not bound to rheumatoid factor or mammalian complement protein and thus avoids the false‐positive results. Yolk IgY isolation is carried out by simple pro‐ cedures that are accessible for any laboratory and, also, for IgY isolation at large‐scale production. IgY‐technology provides antibodies for proteomic studies, diagnostic assays, and immunotherapy. Although IgY‐technology is promising, there is a reduced number of investigations with IgY and T. gondii . Future perspectives involve the use of IgY‐tech‐ nology for the screening of new T. gondii antigens for diagnostics, therapy, or vaccine, development of innovative techniques for toxoplasmosis diagnostics and may be an immunotherapy for toxoplasmosis. a polyclonal IgY against the recombinant TgHSP70 and tested it to detect native heat shock protein in brain samples from T. gondii ‐infection resistant (BALB/c) and susceptible (C57BL/6) mice after dexa ‐ methasone (DXM)‐induced infection reactivation. In parallel, they investigated the TgHSP70‐ specific humoral response. They found higher specific antibody titers in serum samples of BALB/c compared with C57BL/6 mice. C57BL/6 mice presented high expression of TgHSP70 in the brain with the progression of infection and under DXM treatment. They conclude that these data suggest that the TgHSP70 release into the bloodstream depends on the death of the parasites mediated by the host immune response, whereas the increased TgHSP70 expression in the brain depends on the multiplication rate of the parasite. reagent research, diagnostics,
A STUDY ON THE EMOTION ELICITING ALGORITHM AND FACIAL EXPRESSION FOR DESIGNING INTELLIGENT ROBOTS

The goal of the present study is to identify a means of enhancing the perceived humanness of a robot. The ongoing struggle to increase the humanness of robots has been an area of debate in the robot design field. However, given that robots will see use as products that must perform social tasks, there will inevitably be need to stimulate the emotions of users on occasion. Anthropomorphic form and action can facilitate more ready acceptance of the robot by users. As the most effective means of communicating with a human user is face to face communication, the face of the robot plays a major role in human-robot interactions. Former related research focusing on computer software agents also verified the importance of facial expression in human-computer interaction. The element has influence upon the humanness of a robot is not just a realistic reproduction of human-like facial feature shapes, but a natural reproduction of the kinetic process in facial expression. In the present study, for experimental design purposes, we assumed that the robot has five representative emotions. These are taken from six archetypal emotions in psychological theory and a 'neutral' emotion is added. To express these emotions, the robot should make visible changes in its facial features. We conduct experiments to find relations among the time required for transformation of facial features, the degree of external stimuli, and other elements. The findings of the experiments provide information on how various elements of facial expression affect the perception of humanness in the robot. Finally, we designed an emotion eliciting system for robots based on the human emotion system results from
Temperature-dependent rate coefficients for the reactions of the hydroxyl radical with the atmospheric biogenics isoprene, alpha-pinene and delta-3-carene

Abstract. Pulsed laser methods for OH generation and detection were used to study atmospheric degradation reactions for three important biogenic gases: OH + isoprene (Reaction R1), OH +α-pinene (Reaction R2) and OH + Δ-3-carene (Reaction R3). Gas-phase rate coefficients were characterized by non-Arrhenius kinetics for all three reactions. For (R1), k1 (241–356 K) = (1.93±0.08) × 10−11exp{(466±12)∕T} cm3 molecule−1 s−1 was determined, with a room temperature value of k1 (297 K) = (9.3±0.4) × 10−11 cm3 molecule−1 s−1, independent of bath-gas pressure (5–200 Torr) and composition (M = N2 or air). Accuracy and precision were enhanced by online optical monitoring of isoprene, with absolute concentrations obtained via an absorption cross section, σisoprene = (1.28±0.06) × 10−17 cm2 molecule−1 at λ = 184.95 nm, determined in this work. These results indicate that significant discrepancies between previous absolute and relative-rate determinations of k1 result in part from σ values used to derive the isoprene concentration in high-precision absolute determinations. Similar methods were used to determine rate coefficients (in 10−11 cm3 molecule−1 s−1) for (R2)–(R3): k2 (238–357 K) = (1.83±0.04) × exp{(330±6)∕T} and k3 (235–357 K) = (2.48±0.14) × exp{(357±17)∕T}. This is the first temperature-dependent dataset for (R3) and enables the calculation of reliable atmospheric lifetimes with respect to OH removal for e.g. boreal forest springtime conditions. Room temperature values of k2 (296 K) = (5.4±0.2) × 10−11 cm3 molecule−1 s−1 and k3 (297 K) = (8.1±0.3) × 10−11 cm3 molecule−1 s−1 were independent of bath-gas pressure (7–200 Torr, N2 or air) and in good agreement with previously reported values. In the course of this work, 184.95 nm absorption cross sections were determined: σ = (1.54±0.08) × 10−17 cm2 molecule−1 for α-pinene and (2.40±0.12) × 10−17 cm2 molecule−1 for Δ-3-carene.
Religion and Well-being

Religion plays an important role in the lives of many people. To understand how religion relates to wellbeing, it is important to consider the beliefs and practices of the world’s main religions. In the first section, we begin by describing how various religions define well-being and how religions envision God. Next, we outline various beliefs about the afterlife and key religious teachings that may affect well-being. In the second section, we describe how religious practices such as prayer, meditation, and fasting could influence one’s well-being. We conclude by arguing that it is crucial to consider the specific beliefs and practices of religions to understand more fully how religion relates to well-being.