Miracle-dz/UniFAR-FTUs huggingface dataset:
Eljabri, Maram (2018)To Explore the Role of Perceived Academic Control, Resilience and Mindfulness on Psychological Well-being of University Stu-

The process of transitioning to university can be very stressful for students. This is evident in recent studies that suggest students now, are more stressed and anxious about their academic performance and achievement which can result in them experiencing low levels of happiness. Previous literature has suggested that exploring factors like resilience is important to enhance the students’ psychological well-being. Consequently, the present study aims to explore the role of resilience and mindfulness along with perceived academic control on psychological well-being in particular; anxiety, stress, and happiness, amongst university students. Using an opportunity sampling, a total of 129 students aged 18-32 (Female = 105, Male = 24), took part in completing an 86-item online questionnaire that consisted of a series of self-report measures. Pearson’s correlation coefficients indicated a relationship between all variables, however, there was a non-significant relationship between perceived academic control and stress. Furthermore, a series of regression analyses revealed that resilience was the strongest predictor of happiness scores. It also revealed that mindfulness significantly predicted both stress and anxiety. These findings indicate the importance of building students’ resilience and promoting mindfulness practice in order to enhance their psychological well-being.
Fast and slow thermal processes in harmonic crystals with polyatomic lattice

We study thermal processes in infinite harmonic crystals with polyatomic lattice. Initially particles have zero displacements and random velocities such that initial kinetic temperatures, corresponding to degrees of freedom of the unit cell, are different. Our main goal is to calculate spatial distribution of the temperatures at any moment in time. In order to characterize thermal state of the unit cell, the temperature matrix is used. Diagonal elements of the temperature matrix are equal to the kinetic temperatures. An exact expression for the temperature matrix is derived from solution of lattice dynamics equations. It is shown that the temperature matrix is represented as a sum of two terms. The first term describes high-frequency oscillations of the temperature matrix caused by two physical processes: redistribution of energy among kinetic and potential forms and redistribution of energy between degrees of freedom of the unit cell. The second term describes slow changes of the temperature matrix caused by ballistic heat transfer. Approximate expressions for both terms are derived. For example, unsteady heat transport in a diatomic chain is considered. It is shown that during heat transfer, temperatures of sublattices are different even if their initial values are equal. Comparison of analytical results with numerical simulations shows that presented theory describes the evolution of temperatures with high accuracy. Keywords: ballistic heat transport; harmonic crystal; polyatomic lattice; complex lattice; kinetic temperature; transient processes; temperature matrix; unsteady heat transport.
On Lasso refitting strategies

A well-know drawback of l1-penalized estimators is the systematic shrinkage of the large coefficients towards zero. A simple remedy is to treat Lasso as a model-selection procedure and to perform a second refitting step on the selected support. In this work we formalize the notion of refitting and provide oracle bounds for arbitrary refitting procedures of the Lasso solution. One of the most widely used refitting techniques which is based on least-squares may bring a problem of interpretability, since the signs of the refitted estimator might be flipped with respect to the original estimator. This problem arises from the fact that the least-square refitting considers only the support of the Lasso solution, avoiding any information about signs or amplitudes. To this end we define a sign-consistent refitting as an arbitrary refitting procedure, preserving the signs of the first step Lasso solution and provide Oracle inequalities for such estimators. Finally, we consider special refitting strategies: Bregman Lasso and Boosted Lasso. Bregman Lasso has a fruitful property to converge to the sign-consistent least-squares refitting (least-squares with sign constraints), which provides with greater interpretability. We additionally study the Bregman Lasso refitting in the case of orthogonal design, providing with simple intuition behind the proposed method. Boosted Lasso, in contrast, considers information about magnitudes of the first Lasso step and allows to develop better oracle rates for prediction. Finally, we conduct an extensive numerical study to show advantages of one approach over others in different synthetic and semi-real scenarios.
Age as a Factor in the Treatment of Late-Acquired Sounds

The current practice for treating speech sound disorders includes initiating treatment only after the expected age of acquisition has passed, according to developmental normative data. Unfortunately, for children who experience late-acquired sound errors, this practice misses a period of accelerated learning that occurs between the ages of 4-6 (Shriberg, Gruber, & Kwiatkowski, 1994). Instead, this practice causes therapists to initiate treatment for late-acquired sounds during a plateau of learning that occurs between the ages of 6-7 to over 8.5 years (Shriberg et al., 1994). Generally speaking, early intervention is thought to be the most effective in the treatment of developmental communication disorders. Therefore, the present study investigated whether the age of treatment contributed to the efficacy and efficiency of articulation therapy for late-acquired sounds, such as /ɹ/ or / θ /. A repeated, multiple baselines, single-subjects study investigated two age groups who misarticulated late-acquired sounds: a younger group (4-5) and an older group (7-8). These age groups capture each side of the developmental trajectory of speech sound development identified by Shriberg et al. (1994). Each child received a criterion-based, standardized two-phase articulation therapy protocol, and preand posttest measurements were taken using speech probes, standardized articulation tests, and acoustic analysis. These measurements allowed for an examination of treatment efficacy through the measurement of both subjective accuracy and objective accuracy as compared with the ages of the children. In addition, treatment efficiency was measured by calculating the number and duration of sessions for each phase, and overall. The results of this study indicated that younger children achieved a level of accuracy similar to that of older children as a result of treatment for late-acquired sounds, and younger children’s slope of treatment accuracy over time was steeper than that of older children, suggesting that younger children were more accurate
nderstanding the determinants of hotel booking intentions and oderating role of habit

When there are more and more online hotel consumers, it is important for industry players to know why consumers prefer one online booking channel among others. Grounded in the commitment–trust theory (KMV) and the Technology Acceptance Model (TAM), this paper seeks to develop and empirically test a comprehensive framework to examine which factors influence consumer intentions to book hotel
A reanalysis of chemical abundances in galactic PNe and comparison with theoretical predictions

New determinations of chemical abundances for He, N, O, Ne, Ar and S are derived for all galactic planetary nebulae (PNe) so far observed with a relatively high accuracy, in an effort to overcome differences in these quantities obtained over the years by different authors using different procedures. These include: ways to correct for interstellar extinction, the atomic data used to interpret the observed line fluxes, the model nebula adopted to represent real objects and the ionization corrections for unseen ions. A unique ‘good quality’ classical-type procedure, i.e. making use of collisionally excited forbidden lines to derive ionic abundances of heavy ions, has been applied to all individual sets of observed line fluxes in each specific position within each PN. Only observational data obtained with linear detectors, and satisfying some ‘quality’ criteria, have been considered. Such observations go from the mid-1970s up to the end of 2001. The observational errors associated with individual line fluxes have been propagated through the whole procedure to obtain an estimate of the accuracy of final abundances independent of an author's ‘prejudices’. Comparison of the final abundances with those obtained in relevant multi-object studies on the one hand allowed us to assess the accuracy of the new abundances, and on the other hand proved the usefulness of the present work, the basic purpose of which was to take full advantage of the vast amount of observations done so far of galactic PNe, handling them in a proper homogeneous way. The number of resulting PNe that have data of an adequate quality to pass the present selection amounts to 131. We believe that the new derived abundances constitute a highly homogeneous chemical data set on galactic PNe, with realistic uncertainties, and form a good observational basis for comparison with the growing number of predictions from stellar evolution theory. Owing to the known discrepancies between the ionic abundances of heavy elements derived from the strong collisonally excited forbidden lines and those derived from the weak, temperature-insensitive recombination lines, it is recognized that only abundance ratios between heavy elements can be considered as satisfactorily accurate. A comparison with theoretical predictions allowed us to assess the state of the art in this topic in any case, providing some findings and suggestions for further theoretical and observational work to advance our understanding of the evolution of low- and intermediate-mass stars.
Theory and computations for breakup of unsteady subsonic or supersonic separating flows

This study of flow just beyond a breakaway-separation point presents a description of planar nonlinear unsteady effects over a fairly wide parameter range, for a subsonic or supersonic boundary layer at large Reynolds numbers. The inviscid model thus produced essentially contains a vortex sheet near the smooth solid surface, with local inner–outer interaction. The governing equations couple the eddy velocity and pressure with the thicknesses of the detached boundary layer and the eddy. The computational method presented here uses a new adaptive gridding technique intended to capture accurately the spiky solution behaviour that develops and to compare with theory. Analysis and computations point to a breakup in the solution, suggesting an explanation for the start of transition and possible turbulent reattachment as found experimentally. The influence of the detached boundary-layer thickness proves crucial. The type of finite-time breakup encountered is studied analytically and the criterion for its occurrence is highlighted. This is guided by a characteristic analysis for a special case. The finite-time breakup is similar in spirit to, although different in detail from, a nonlinear breakup proposed earlier by one of the authors for general unsteady interactive boundary layers and it suggests a wide application of that nonlinear breakup theory and its criterion. Comparisons between computations and theory are found to be supportive.
Insufficient Effort Responding on Mturk Surveys : Evidence-Based Quality Control for Organizational Research

This Thesis is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact pdxscholar@pdx.edu. Recommended Citation Cyr, Lee, "Insufficient Effort Responding on Mturk Surveys: Evidence-Based Quality Control for Organizational Research" (2018). Dissertations and Theses. Paper 4453.
Genetic Variation : Evidence for Multiple Variants Associated with Rheumatoid Arthritis

Celera Diagnostics, Alameda, CA; Celera Genomics, Rockville, MD; Genomics Collaborative Division of SeraCare Life Sciences, Cambridge, MA; Genetics and Genomics Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD; Rowe Program of Human Genetics, Department of Medicine, University of California–Davis, Davis; Rosalind Russell Medical Research Center for Arthritis, Department of Medicine, University of California–San Francisco, San Francisco; Robert S. Boas Center for Genomics and Human Genetics, North Shore–Long Island Jewish Institute for Medical Research, Manhasset, NY; Department of Integrative Biology, University of California–Berkeley, Berkeley; and Department of Epidemiology, University of Texas M. D. Anderson Cancer Center, University of Texas, Houston
Medicamentos utilizados en casos de trasplante de médula ósea: un estudio sobre combinaciones antimicrobianas potencialmente interactivas

El objetivo del estudio fue determinar el perfil de medicamentos e identificar combinaciones por administracion conjunta de antimicrobianos potencialmente interactivos y otros agentes. Fueron analizadas 70 prescripciones medicas de pacientes sometidos a trasplante de medula osea (TMO), todos internados en el Instituto del Corazon, Sao Paulo, Brasil. Los medicamentos fueron clasificados segun el sistema Alfa. El potencial de interaccion y las caracteristicas farmacologicas fueron establecidas segun la bibliografia. El analisis de datos a traves de estadistica descriptiva. El 72,7% de los medicamentos mostro potencial interactivo, destacandose los precipitadores (79,2%) y como antimicrobiano mas utilizado en las combinaciones el fluconazol (85,7%), siendo asociado al omeprazol en 40% de la muestra. La combinacion de medicamentos potencialmente interactivos fue frecuente en estos pacientes, condicion que asociada a la polifarmacia y a la distribucion simultanea de horarios en su administracion podria predisponer al paciente a efectos adversos, afectando la seguridad en el tratamiento.
Solving weighted norm inequalities using the Rubio de Francia algorithm

Given an operator T bounded on a weighted LP space, the factorization technique of Rubio de Francia forces strong conditions on the' weight. This algorithm is extended to two weight problems, and is shown to yield not just necessary but sufficient conditions in a wide range of settings. A nonnegative weight w e Ap for some p > 1 if for all intervals (or cubes) I, ]-j[fw(x)dx (I W-1/(P-1)) 1 or the unit circle in the complex plane. Let ,u and A be nonnegative weight functions. LP(,a) will denote LP(X, ,u(x) dx). THEOREM (THE RDFA) . Let Q(x, y) > 0 and let T be the operator Tf (x) = fQ(x,y)f (y) dy. Let p > 1, with 1/p + 1/q = 1. Then T: LP(,a) -+ LP(A) is a Received by the editors June 30, 1986. 1980 Mathematics Subject Classification (1985 Revision). Primary 42B25; Secondary 42B20, 42A50. (? )1987 American Mathematical Society 0002-9939/87 $1.00 + $. 25 per page
Control Model in Multi-Organization Environments

Access control in Multi-Organization Environment is a critical issue. Classical access control models like Role Based Access Control (RBAC) and Organization Based Access Control (ORBAC) need some improvements to be used in such environment, where the collaboration is established between organizations and not directly with the clients. In particular, some characteristics of this scenario are that the users may be unknown in advance and/or the behaviors of the users and the organization may change during the collaboration. Hence, in this context the use of trust management with an access control model is recommended. To achieve this goal in this paper a new model called TRUST-ORBAC that adds the notion of trust management to ORBAC is presented. This approach consists in defining two dynamic trust vectors: one for the organizations and one for users which are based on different parameters such as knowledge, reputation and experience. Finally, we illustrate the use of TRUST-ORBAC with a case study.
The YGR 194 c ( XKS 1 ) gene encodes the xylulokinase from the budding yeast Saccharomyces cerevisiae

We report the finding of a Saccharomyces cerevisiae gene necessary for growth in culture media with D-xylulose as the sole carbon source. This gene corresponds to the YGR194c open reading frame that we have previously described, and it is renamed now XKS1. Data bank comparisons of the protein encoded by the XKS1 gene showed significant homology with different xylulokinases, indicating a possible role in xylulose phosphorylation. The wild-type gene in a centromeric plasmid complemented defective growth of xks1 S. cerevisiae mutant strains in xylulose. By contrast, overexpression negatively influenced cell growth in this carbon source. z 1998 Federation of European Microbiological Societies. Published by Elsevier Science B.V.
Adhesive contact problems for a thin elastic layer: Asymptotic analysis and the JKR theory

Contact problems for a thin compressible elastic layer attached to a rigid support are studied. Assuming that the thickness of the layer is much less than the characteristic dimension of the contact area, a direct derivation of asymptotic relations for displacements and stress is presented. The proposed approach is compared with other published approaches. The cases are established when the leading-order approximation to the non-adhesive contact problems is equivalent to contact problem for a Winkler–Fuss elastic foundation. For this elastic foundation, the axisymmetric adhesive contact is studied in the framework of the Johnson–Kendall–Roberts (JKR) theory. The JKR approach has been generalized to the case of the punch shape being described by an arbitrary blunt axisymmetric indenter. Connections of the results obtained to problems of nanoindentation in the case that the indenter shape near the tip has some deviation from its nominal shape are discussed. For indenters whose shape is described by power-law functions, the explicit expressions are derived for the values of the pull-off force and for the corresponding critical contact radius.
Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease caused by aberrations in the genome. While several disease-causing variants have been identified, a major part of heritability remains unexplained. ALS is believed to have a complex genetic basis where nonadditive combinations of variants constitute disease, which cannot be picked up using the linear models employed in classical genotype-phenotype association studies. Deep learning on the other hand is highly promising for identifying such complex relations. We therefore developed a deep-learning based approach for the classification of ALS patients versus healthy individuals from the Dutch cohort of the ProjectMinE dataset. Based on recent insight that regulatory regions on the genome play a major role in ALS, we employ a two-step approach: first promoter regions that are likely associated to ALS are identified, and second individuals are classified based on their genotype in the selected genomic regions. Both steps employ a deep convolutional neural network. The network architecture accounts for the structure of genome data by applying convolution only to parts of the data where this makes sense from a genomics perspective. Our approach identifies potential ALS-associated genetic variants, and generally outperforms other classification methods. Test results support the hypothesis that ALS is caused by non-additive combinations of variants. Our method can be applied to large-scale whole genome data. We consider this a first step towards genotype-phenotype association with deep learning that is tailored to genomics and can deal with genome-sized data.
Using artificial neural networks in estimating wood resistance

The purpose of this research was to evaluate the potential of Artificial Neural Networks in estimating the properties of wood resistance. In order to do so, a hybrid of eucalyptus (Eucalyptus urograndis) planted in the Northern Region of the State of Mato Grosso was selected and ten trees were collected. Then, four samples of each tree were removed, totaling 40 samples, which were later subjected to non-destructive testing of apparent density, ultrasonic wave propagation velocity, dynamic modulus of elasticity obtained by ultrasound, and Janka hardness. These properties were used as estimators of resistance and compressive strength parallel to fibers, and hardness. Multilayer Perceptron networks were also employed, training 100 of them for each of the evaluated parameters. The obtained results indicated that the use of Artificial Neural Networks is an efficient tool for predicting wood resistance.
Symmetry of solutions to semilinear elliptic equations via Morse index

In this paper we prove symmetry results for solutions of semilinear elliptic equations in a ball or in an annulus in R N , N > 2, in the case where the nonlinearity has a convex first derivative. More precisely we prove that solutions having Morse index j < N are foliated Schwarz symmetric, i.e. they are axially symmetric with respect to an axis passing through the origin and nonincreasing in the polar angle from this axis. From this we deduce, under some additional hypotheses on the nonlinearity, that the nodal set of sign changing solutions with Morse index j ≤ N intersects the boundary of the domain.
SIMULATOR SICKNESS IN AIRFOX® DISORIENTATION SIMULATOR

ABSTRACT Use of flight simulators has consistently increased over the years, a phenomenon known as simulator sickness upon simulator exposure (SE) has been of concern in aircrew. This Simulator Sickness (SS) has been largely considered to be a persistent limiting factor in continuing flying training. It is classically characterized by nausea, dizziness, postural instability, fatigue and general malaise. On cessation of SE, few symptoms may persist up to several hours and these may have an adverse impact on post-simulator training activities. AirFox® DISO, is widely used in Indian Air Force (IAF) to train aircrew on spatial disorientation. The paper presents a study carried out in IAF on the aircrew reporting to IAM, IAF Bangalore for training. The results are presented based on the Simulator Sickness Questionnaire (SSQ) administered to the aircrew.
Expectational Stability in a News-Driven Business Cycle Model

This paper investigates the stability properties of Jaimovich and Rebelo (2009)’s news-driven business cycle model. In doing so, this paper adopts expectational stability (\E-stability") as a natural criterion for rationality: plausible equilibria should arise from an adaptive learning formulation where agents form forecasts from a correctly specied model whose parameters are updated in real time. In examining the model’s stability properties, I nd that when agents do not observe current state variables when forming expectations, the rational expectations equilibrium (REE) is not learnable for some parameter values capable of generating news-driven recessions. However, stronger informational assumptions regarding the timing of expectations and outcomes can facilitate E-stability.