Miracle-dz/UniFAR-FTUs huggingface dataset:
Disordered gamblers with and without ADHD: the role of coping in elevated psychological distress

Abstract Attention-deficit/hyperactivity disorder (ADHD) is significantly more prevalent among disordered gamblers than in the general adult population. Despite this, it remains unclear whether co-occurring ADHD is associated with clinically significant differences that call for specialized assessments and treatment planning. The purpose of this article was to explore differences in psychological distress and coping strategies among individuals presenting to an outpatient gambling treatment centre with and without co-occurring adult ADHD. Participants (n = 99) were primarily female (69%) and Caucasian (86%) outpatient treatment-seeking disordered gamblers. At intake, individuals completed self-report measures of coping (Coping Inventory for Stressful Situations – Adult Form), psychological distress (Beck Depression Inventory II) and ADHD (Brown Attention-Deficit Disorder Scales – Adult Form). Results indicated that individuals with ADHD (n = 42) reported significantly more psychological distress and less adaptive coping strategies than those without co-occurring ADHD (n = 57). Mediation analyses showed that an ADHD diagnosis had an indirect effect on psychological distress via the mediator of maladaptive coping. Assessment and treatment should be tailored to address the variety of presentations of gambling disorder. Screening for ADHD at intake may be helpful in creating an individualized treatment plan for disordered gamblers.
Pattern-Based Classification via a High Level Approach Using Tourist Walks in Networks

Traditional data classification considers only physical features (e.g., geometrical or statistical features) of the input data. Here, it is referred to low level classification. In contrast, the human (animal) brain performs both low and high orders of learning and it has facility in identifying patterns according to the semantic meaning of the input data. Data classification that considers not only physical attributes but also the pattern formation is here called high level classification. In this paper, we present an alternative technique which combines both low and high level data classification techniques. The low level term can be implemented by any classification technique, while the high level term is realized by means of the extraction of the underlying network's features (graph) constructed from the input data, which measures the compliance of the test instances with the pattern formation of the training data. Out of various high level perspectives that can be utilized to capture semantical meaning, we utilize the dynamical features that are generated from a tourist walker in a networked environment. Specifically, a weighted combination of transient and cycle lengths are employed for that end. Furthermore, we show computer simulations with synthetic and widely accepted real-world data sets from the machine learning literature. Interestingly, our study shows that the proposed technique is able to further improve the already optimized performance of traditional classification techniques.
Use of Recycled Glass Bottles as Fine Aggregates in Concrete Mixture

This experimental study aimed to design a concrete mixture with recycled bottles as an alternative fine aggregates for mass housing projects that will meet the American Society for Testing and Materials (ASTM) requirements in order to help contribute to the industry in saving the environment, to encourage the government to find solutions regarding the disposal to landfills of waste materials and provide new knowledge to the contractors and developers on how to improve the construction industry methods and services by using recycled bottles, and to sustain good product performance and meet recycling goals. A conventional concrete product was compared to concrete with recycled bottles of the same proportions. Observations from the tests performed were conducted in the laboratory where precise data were gathered and completely attained.
Context constrained-generalized posterior probability for verifying phone transcriptions

A new statistical confidence measure, Context ConstrainedGeneralized Posterior probability (CC-GPP), is proposed for verifying phone transcriptions in speech databases. Different from generalized posterior probability (GPP), CC-GPP is computed by considering string hypotheses that bear a focused phone with partially matched left and right contexts. Parameters used for CC-GPP include context window length, a minimal number of matched context phones, and verification thresholds. They are determined by minimizing verification errors in a development set. Evaluated on a test set of 500 sentences that consist of 2.1% phone errors, CCGPP achieves 99.6% accuracy and 78.7% recall when 90% of the phones are accepted.
Integrals, Quantum Galois Extensions, and the Affineness Criterion for Quantum Yetter–Drinfel'd Modules

Abstract In this paper we shall generalize the notion of an integral on a Hopf algebra introduced by Sweedler, by defining the more general concept of an integral of a threetuple (H, A, C), where H is a Hopf algebra coacting on an algebra A and acting on a coalgebra C. We prove that there exists a total integral γ: C → Hom(C, A) of (H, A, C) if and only if any representation of (H, A, C) is injective in a functorial way, as a corepresentation of C. In particular, the quantum integrals associated to Yetter–Drinfel'd modules are defined. Let now A be an H-bicomodule algebra, H Y D A the category of quantum Yetter–Drinfel'd modules, and B = {a ∈ A|∑S− 1(a〈1〉)a〈 − 1〉 ⊗ a〈0〉 = 1H ⊗ a}, the subalgebra of coinvariants of the Verma structure A ∈ H Y D A. We shall prove the following affineness criterion: if there exists γ: H → Hom(H, A) a total quantum integral and the canonical map β: A ⊗ B A → H ⊗ A, β(a ⊗ B b) = ∑S− 1(b〈1〉)b〈 − 1〉 ⊗ ab〈0〉 is surjective (i.e., A/B is a quantum homogeneous space), then the induction functor – ⊗ B A: M B → H Y D A is an equivalence of categories. The affineness criteria proven by Cline, Parshall, and Scott, and independently by Oberst (for affine algebraic groups schemes) and Schneider (in the noncommutative case), are recovered as special cases.
What do practitioners think? A qualitative study of a shared care mental health and nutrition primary care program

Abstract Objective To develop an in-depth understanding of a shared care model from primary mental health and nutrition care practitioners with a focus on program goals, strengths, challenges and target population benefits. Design Qualitative method of focus groups. Setting/Participants The study involved fifty-three practitioners from the Hamilton Health Service Organization Mental Health and Nutrition Program located in Hamilton, Ontario, Canada. Method Six focus groups were conducted to obtain the perspective of practitioners belonging to various disciplines or health care teams. A qualitative approach using both an editing and template organization styles was taken followed by a basic content analysis. Main findings Themes revealed accessibility, interdisciplinary care, and complex care as the main goals of the program. Major program strengths included flexibility, communication/collaboration, educational opportunities, access to patient information, continuity of care, and maintenance of practitioner and patient satisfaction. Shared care was described as highly dependent on communication style, skill and expertise, availability, and attitudes toward shared care. Time constraint with respect to collaboration was noted as the main challenge. Conclusion Despite some challenges and variability among practices, the program was perceived as providing better patient care by the most appropriate practitioner in an accessible and comfortable setting.
Directoryless shared memory architecture using thread migration and remote access

Distributed directory cache coherence protocols for current many-core CMPs are not only difficult and error-prone to implement and verify, but also provide suboptimal performance when a thread requires access to large amounts of data distributed across the chip: the data must be brought to the core where the thread is running, incurring delays and energy costs. In this paper, we propose an approach based on the combination of partial-context thread migration and a directory-free remote access protocol: for these kinds of applications, our architecture can outperform directory-based cache coherence. In addition, unlike with distributed cache coherence protocols, the verification complexity of our architecture does not grow with the number of cores.
Kinect Gaming And Physiotherapy

– In this paper we have proposed the system prototype which combines two applications of kinect which are kinect gaming and application of kinect for physiotherapy. The proposed system performs task depending upon some crucial capabilities like Gesture Recognition, Skeletal Tracking, Depth Recognition. All these operations are implemented through kinect camera. Gesture recognition includes tracking the human movements through kinect and identifying the particular part of human body. Skeletal tracking implemented to track the movement of human body by considering human body as skeleton and identifying certain points on skeleton. Depth recognition is implemented to segment the background and foreground of the image and separates person from the background depending upon the pixel color. To perform all these operation we require kinect which is capable to produce depth and RGB streams at cheaper cost than traditional sensors. Kinect consist a time of flight camera which is capable to evaluate the distance of any given point form the kinect sensor. We are implementing open kinect driver framework for kinect which generates 640x480 RGB and depth images at 30 fps(frames per pixel)[1]. Generally kinect is used with console device for performing applications. In this proposed system, we are trying to attempt to tackle the problem of skeletal tracking of human body using Microsoft kinect sensor, as console device is expensive hence trying to optimize the hardware by eliminating the use of console device. It is our attempt to optimize the hardware and instead of console device we perform operation by collaborating the kinect with developed system program to perform the specified operations. The final project implementation can be explored and use further to develop specific real time applications. 1. INTRODUCTION Kinect is used with console device for applications. In this proposed project work, we are trying to attempt to tackle the problem of skeletal tracking of a human body using the Microsoft kinect sensor, as the console device is expensive hence trying to optimize hardware by eliminating use of console device. The image processing based human recognition is yet a challenging task because of series of complications such as variations in pose, lighting conditions and complexity of background in the tracking environment. This study introduces a methodology to track Human gestures using image processing techniques and depth information generated from the Microsoft Kinect sensor [3]. The main vision behind this system is to optimize the hardware. Kinect device is interfaced with system …
Shapes and Alignments of Galaxy Cluster Halos

We present distribution functions and mark correlations of the shapes of massive dark matter halos derived from Hubble volume simulations of a ΛCDM universe. We measure both position and velocity shapes within spheres that encompass a mean density 200 times the critical value and calibrate small-N systematic errors using Poisson realizations of isothermal spheres and higher resolution simulations. For halos more massive than 3 × 1014 h-1 M☉, the shape distribution function peaks at (minor/major, intermediate/major) axial ratios of (0.64, 0.76) in position and is rounder in velocity, peaking at (0.72, 0.82). Halo shapes are rounder at lower mass and/or redshift; the mean minor-axis ratio in position follows ⟨c/a⟩(M,z) = c15,0[1 - α ln(M/1015 h-1 M☉)](1 + z)-ϵ, with c15,0 = 0.631 ± 0.001, α = 0.023 ± 0.002, and ϵ = 0.086 ± 0.004. Position and velocity principal axes are well aligned in direction, with median alignment angle 22°, and the axial ratios in these spaces are correlated in magnitude. We investigate mark correlations of halo pair orientations using two measures: a simple scalar product shows ≥1% alignment extending to 30 h-1 Mpc, while a filamentary statistic exhibits nonrandom alignment extending to scales ~200 h-1 Mpc, 10 times the sample two-point correlation length and well into the regime of negative two-point correlation. Shapes of cluster halos are little affected by the large-scale environment; the distribution of supercluster member minor-axis ratios differs from that of the general population at only the few percent level.
A Contribution to Multi-Modal Identity Verification Using D ecision Fusion

The contribution of this paper is to compare paradigms coming from the classes of parametric, and non-parametric techniques to solve the decision fusion problem encountered in the design of a multi-modal biometrical identity verification system. The multi-modal identity verification system under consideration is built of d modalities in parallel, each one delivering as output a scalar number, called score, stating how well the claimed identity is verified. A decision fusion module receiving as input the d scores has to take a binary decision: accept or reject the claimed identity. We have solved this fusion problem using parametric and non-parametric classifiers. The performances of all these fusion modules have been evaluated and compared with other approaches on a multi-modal database, containing both vocal and visual biometric modalities.
Finite-Time Tracking Control of Rigid Spacecraft Under Actuator Saturations and Faults

In this paper, an adaptive fast terminal sliding mode control control law (AFTSMCL) is presented to resolve attitude tracking control problem for rigid spacecraft, which can provide finite-time convergence, strong robustness, and fault-tolerant control. Rigorous proof is achieved first. Simulation results are presented to illustrate the effectiveness of presented control law.
Automatic summarizer for mobile devices using sentence ranking measure

The modern digital world is immersed in tons of information in the form of electronic documents. To overcome the consequences of system failure, the fault tolerance system uses redundant information too. While surfing in the mobile devices, since they have small display screen. The mobile users prefer to analyse the summarized report, if it is relevant to their requirement, the user may observe it deeper. However, it is difficult to manually summarize the large documents of text. Sentence level clustering can be employed to perform automatic summarization task. The proposed work computes the centroid sentence of each cluster to automatically generate the summary which in turn reduces the manual processing. The integration of automatic summarization process to mobile devices is deployed android mobile application development interface. Experimental evaluation on the sample dataset shows that the clustering algorithm is more effective in retrieval of summarized content in mobile devices.
Quasi-periodic orbits of the restricted three-body problem made easy

A new fully numerical method is presented which employs multiple Poincare sections to find quasi‐periodic orbits. The main advantages of this method are the small overhead cost of programming and very fast execution times, robust behavior near chaotic regions that leads to full convergence for given family of quasi‐periodic orbits and the minimal memory required to store these orbits. This method reduces the calculation of the search for the two‐dimensional invariant torus to a search for the closed orbits, which are the intersection of the invariant torus with the Poincare sections. Truncated Fourier series are employed to represent these closed orbits. The flow of the differential equation on the invariant torus is reduced to maps between the consecutive Poincare maps. A Newton iteration scheme makes use of the invariancy of the circles of the maps on these Poincare sections in order to find the Fourier coefficient that define the circles to any given accuracy. A continuation procedure that uses the incremental behavior of the Fourier coefficients between close quasi‐periodic orbits is utilized to extend the results from a single orbit to a family of orbits. Quasi‐Halo and Lissajous families of the Sun‐Earth Restricted Three‐Body Problem (RTBP) around the L1 and L2 libration points are obtained via this method. Results are compared with the existing literature.
Energy-efficient hardware/software co-synthesis for a class of applications on reconfigurable SoCs

There are many different ways that an application is executed on a Reconfigurable System-on-a-Chip (RSoC). They can significantly impact the overall system energy dissipation. In this paper, we propose a three-step design process for application synthesis using RSoCs. We develop (a) a performance model to abstract a general class of RSoC architectures for application development, (b) a mathematical formulation of the energy-efficient synthesis problem for a class of applications and (c) a dynamic programming algorithm that minimises the system energy dissipation. Using the proposed design process, reduction in energy dissipation ranging from 41% to 54% is observed in our experiments.
Identification of a heparin-binding hemagglutinin present in mycobacteria

Adherence to mammalian host tissues is an important virulence trait in microbial pathogenesis, yet little is known about the adherence mechanisms of mycobacteria. Here, we show that binding of mycobacteria to epithelial cells but not to macrophages can be specifically inhibited by sulfated carbohydrates. Using heparin-Sepharose chromatography, a 28-kD heparin-binding protein was purified from culture supernatants and cell extracts of Mycobacterium bovis and Mycobacterium tuberculosis. This protein, designated heparin-binding hemagglutinin (HBHA), promotes the agglutination of rabbit erythrocytes, which is specifically inhibited by sulfated carbohydrates. HBHA also induce mycobacterial aggregation, suggesting that it can mediate bacteria-bacteria interactions as well. Hemagglutination, mycobacterial aggregation, as well as attachment to epithelial cells are specifically inhibited in the presence of anti- HBHA antibodies. Immunoelectron microscopy using anti-HBHA monoclonal antibodies revealed that the protein is surface exposed, consistent with a role in adherence. Immunoblot analyses using antigen-specific antibodies indicated that HBHA is different from the fibronectin- binding proteins of the antigen 85 complex and p55, and comparison of the NH2-terminal amino acid sequence of purified HBHA with the protein sequence data bases did not reveal any significant similarity with other known proteins. Sera from tuberculosis patients but not from healthy individuals were found to recognize HBHA, indicating its immunogenicity in humans during mycobacterial infections. Identification of putative mycobacterial adhesins, such as the one described in this report, may provide the basis for the development of new therapeutic and prophylactic strategies against mycobacterial diseases.
A reduced K+ current due to a novel mutation in KCNQ2 causes neonatal convulsions

Benign familial neonatal convulsions (BFNC) is a rare dominantly inherited epileptic syndrome characterized by frequent brief seizures within the first days of life. The disease is caused by mutations in one of two recently identified voltage‐gated potassium channel genes, KCNQ2 or KCNQ3. Here, we describe a four‐generation BFNC family carrying a novel mutation within the distal, unconserved C‐terminal domain of KCNQ2, a 1‐bp deletion, 2513delG, in codon 838 predicting substitution of the last seven and extension by another 56 amino acids. Three family members suffering from febrile but not from neonatal convulsions do not carry the mutation, confirming that febrile convulsions and BFNC are of different pathogenesis. Functional expression of the mutant channel in Xenopus oocytes revealed a reduction of the potassium current to 5% of the wild‐type current, but the voltage sensitivity and kinetics were not significantly changed. To find out whether the loss of the last seven amino acids or the C‐terminal extension because of 2513delG causes the phenotype, a second, artificial mutation was constructed yielding a stop codon at position 838. This truncation increased the potassium current by twofold compared with the wild type, indicating that the pathological extension produces the phenotype, and suggesting an important role of the distal, unconserved C‐terminal domain of this channel. Our results indicate that BFNC is caused by a decreased potassium current impairing repolarization of the neuronal cell membrane, which results in hyperexcitability of the central nervous system.
Infective Endocarditis Complicating Hypertrophic Obstructive Cardiomyopathy: Is Antibiotic Prophylaxis Really Unnecessary?

Infective endocarditis is a relatively rare complication of hypertrophic cardiomyopathy. Infective endocarditis in hypertrophic cardiomyopathy is almost always seen in patients with outflow obstruction and is more common in those with both outflow obstruction and atrial dilatation. We present a case of culture negative mitral valve endocarditis in a previously asymptomatic woman with hypertrophic cardiomyopathy who died in the course of the disease.
High-Frequency Chest-Wall Oscillation in a Noninvasive-Ventilation-Dependent Patient With Type 1 Spinal Muscular Atrophy

With the recent increased use of noninvasive ventilation, the prognoses of children with neuromuscular disease has improved significantly. However, children with muscle weakness remain at risk for recurrent respiratory infection and atelectasis. We report the case of a young girl with type 1 spinal muscular atrophy who was dependent on noninvasive ventilation, and in whom conventional secretion-clearance physiotherapy became insufficient to clear secretions. We initiated high-frequency chest-wall oscillation (HFCWO) as a rescue therapy, and she had improved self-ventilation time. This is the first case report of HFCWO for secretion clearance in a severely weak child with type 1 spinal muscular atrophy. In a patient with neuromuscular disease and severe respiratory infection and compromise, HFCWO can be used safely in combination with conventional secretion-clearance physiotherapy.
A short version of the visual aesthetics of websites inventory

The present paper addresses a need for a brief assessment instrument to measure perceived visual aesthetics of websites. A short version of the Visual Aesthetics of Websites inventory (VisAWI; Moshagen and Thielsch 2010) called VisAWI-S was developed and evaluated in three studies comprising 1673 participants in total. The results indicate that the VisAWI-S is a reliable measure that captures a single dimension of perceived visual aesthetics and provides a good approximation to the full-length version. Convergent validity was established by a strong relationship to overall appeal. Evidence for divergent validity was obtained by weaker correlations to perceived usability, pragmatic quality and quality of content as well as by absence of a significant correlation to participants’ mood. In addition to this, the VisAWI-S was found to be substantially related to the intention to revisit a website. Overall, the results indicate that the VisAWI-S may gainfully be employed to measure perceived visual aesthetics of websites when assessment times must be kept to a minimum.