Miracle-dz/UniFAR-FTUs huggingface dataset:
Inactivation of miR-100 combined with arsenic treatment enhances the malignant transformation of BEAS-2B cells via stimulating epithelial -mesenchymal transition

ABSTRACT Chronic arsenic treatment induces epithelial-mesenchymal transition (EMT) and promotes tumorigenicity, but the mechanism is unclear. MiR-100 has been shown to be involved in this biologic process. In this study, we hypothesize that inactivation of miR-100 combined with low concentration of arsenic exposure could promote the malignant transformation of human bronchial epithelial cells (BEAS-2B cell) by promoting EMT. To test this hypothesis, BEAS–2B cells were treated with low-dose of As2O3 chronically, and lentiviral vectors were used to mediate the inhibition of miR-100 expression. Flow cytometry, cloning formation, and transwell assays were used to examine cell cycle progression, cell proliferation, and cell migration, respectively. The mouse xenograft model was used to investigate the cell malignant growth in vivo, and western blot was used to detect EMT related marker expressions. Our results showed that, the inactivation of miR-100 combined with arsenic treatment significantly promoted the proliferation, viability, and migration of BEAS-2B cells in vitro, and tumorigenesis in vivo. Consistently, the EMT related marker expressions were also significantly increased in corresponding groups. Our data indicate that inactivation of miR-100 combined with chronic arsenic treatment promotes tumorigenicity of BEAS-2B cells via activation of EMT. This novel insight may help us to better understand the pathogenesis of arsenic carcinogenesis.
Relationships amongst self-compassion, self-esteem and schizotypy

Aims and Objectives The primary aim of the research was to investigate the nature of the relationships between self-compassion, self-esteem and schizotypy using a non-clinical sample. A secondary aim was to investigate the mechanisms which help to explain any relationships found. In utilising a non-clinical sample the study aimed to determine whether relationships exist between the variables prior to the onset of psychosis within a continuum approach to schizotypy. A final objective was to identify specific correlates of self-compassion and schizotypy through detailed subscale analyses. Method The study utilised a quantitative, cross-sectional design. Participants completed self-report questionnaires via a secure website host measuring: self-compassion, global self-esteem, and trait schizotypy. A total of 93 participants took part in the research. Results As predicted, highly significant negative correlations were determined between self-compassion and schizotypy, and between self-esteem and schizotypy. With respect to the mechanisms through which these variables were related, self-compassion was not found to moderate the relationship between self-esteem and schizotypy. However, self-compassion and schizotypy were found to be related via both a direct and an indirect route, which was mediated by self-esteem. Conclusions The study is the first to investigate the nature of the relationships amongst self-compassion, self-esteem and schizotypy in a non-clinical population, utilising the schizotypy construct as an analogue of the psychosis continuum. The findings indicated that there may be both a direct, and an indirect route through self-esteem, RELATIONSHIPS AMONGST SELF-COMPASSION, SELF-ESTEEM AND SCHIZOTYPY iv which accounted for the relationship between self-compassion and schizotypy. The results mirror associations determined within clinical populations. The authors argues that in utilising schizotypy as an analogue of the psychosis continuum the results of this study provide evidence that self-esteem and self-compassion may reflect underlying mechanisms which could underpin schizotypal symptomatology.
Static analysis driven performance and energy testing

Software testing is the process of evaluating the properties of a software. Properties of a software can be divided into two categories: functional properties and non-functional properties. Properties that influence the input-output relationship of the software can be categorized as functional properties. On the other hand, properties that do not influence the input-output relationship of the software directly can be categorized as non-functional properties. In context of real-time system software, testing functional as well as non functional properties is equally important. Over the years considerable amount of research effort has been dedicated in developing tools and techniques that systematically test various functional properties of a software. However, the same cannot be said about testing non-functional properties. Systematic testing of non-functional properties is often much more challenging than testing functional properties. This is because non-functional properties not only depends on the inputs to the program but also on the underlying hardware. Additionally, unlike the functional properties, nonfunctional properties are seldom annotated in the software itself. Such challenges provide the objectives for this work. The primary objective of this work is to explore and address the major challenges in testing non-functional properties of a software.
Efficient contour line labelling for terrain modelling

Terrains are an essential part of outdoor environments. Terrain models are important for computer games and applications in architecture, urban design and archaeology. A popular and intuitive way to represent terrains is by contour maps. In order to render such representations in 3D the contours must be labelled with height values and converted to Digital Elevation Maps (DEM), which are regular grids of height values and are represented as gray scale images. The labelling of contour lines is time intensive for large maps and prone to errors. In this paper we present an efficient and novel algorithm for semi-automatically labelling contour maps and for converting them to DEMs. The algorithm first identifies point extrema which must be labelled by the user. The point extrema are connected by a graph and the contour lines crossed by edges are labelled automatically. We show that ambiguities can exist for so-called line extrema. Our algorithms will resolve ambiguous regions requiring a minimal number of additional user inputs. We also present a more efficient graph representation, which requires about 10--20% more user inputs than the optimal case. After the contour lines are labelled, the contour map is triangulated and the height value at each point of the DEM is computed using a bilinear interpolation. The presented algorithm is efficient, requires minimal user inputs, and produces good quality DEMs. We present several examples, discuss its suitability for different applications, and provide a complexity analysis.
Power Loading Codebook Design for OFDM System

In this paper, we present a codebook designing of power loading for OFDM systems. We first introduce the relation between average BER and SNR on each sub-carrier. Based on the criteria of bit error rate, codebook designing of power loading using central limit theorem is derived. Comparing with traditional codebook for power loading, this new one can attain optimum of error rate statistically and it can be designed with low complexity.
Sex role perceptions and levels of acculturation of Puerto Ricans : A comparative study of Puerto Rican, Black and Anglo college students

SEX ROLE PERCEPTIONS AND LEVELS OF ACCULTURATION OF PUERTO RICANS: A COMPARATIVE STUDY OF PUERTO RICAN, BLACK, AND ANGLO COLLEGE STUDENTS MAY, 1989 BRUNILDA DE LEON, B.A., UNIVERSITY OF MASSACHUSETTS M.S.W. , UNIVERSITY OF PUERTO RICO M.Ed., UNIVERSITY OF MASSACHUSETTS Ed.D. , UNIVERSITY OF MASSACHUSETTS Directed by: Ena Vazquez-Nuttal1 This study compares the perceptions of Puerto Rican male and female college students in Puerto Rico with Puerto Rican, Anglo and Black students in the United States utilizing the Bern Sex Role Inventory (BSRI), the Personal Attributes Questionnaire (PAQ) and the Cultural Life Style Inventory (CLSI) which was administered to Puerto Rican students only. The sample consisted of 770 students. The extant literature holds that Puerto Rican men are aggressive and dominant and Puerto Rican women are depen¬ dent, submissive and stereotypical 1y feminine. The data from this study indicates that the majority of male and female students in the four ethnic/racial groups were classified as androgynous, that is, they scored high on
Adaptation d'applications pervasives dans des environnements multi-contextes

Les systemes pervasifs ont pour objectif de rendre l’information disponible partout et a tout moment. Ces systemes doivent pouvoir etre utilises dans differents contextes selon l’environnement de l’utilisateur, son profil et le terminal qu’il utilise. L’un des problemes majeurs de ce type de systemes concerne donc l’adaptation au contexte d’utilisation. Dans ce travail de these, nous proposons une strategie complete, generique et evolutive d’adaptation d’applications au contexte d’utilisation sur trois volets: (i) les services offerts a l’utilisateur, (ii) les donnees renvoyees par ces services et (iii) leur presentation a l’utilisateur. L’adaptation des services consiste a intercepter les appels vers les services originaux de l’application et a modifier leur comportement a l’aide d’un ensemble d’operateurs d’adaptation fonctionnelle. L’adaptation des donnees consiste a transformer ou a remplacer chaque objet multimedia renvoye par les services de l’application qui n’est pas utilisable dans la situation contextuelle en question. L’adaptation de la presentation se base sur un processus de generation automatique du code de l’interface utilisateur qui garantit l’interaction avec les donnees et les services adaptees. La strategie que nous avons elaboree atteint deux objectifs : (i) integrer la sensibilite au contexte dans l’application de facon incrementale et (ii) garantir l’adaptation a partir d’une description simple des services offerts a l’utilisateur. Nous avons mis en œuvre cette strategie en developpant une plateforme d’adaptation d’applications au contexte d’utilisation. Nous avons utilise les technologies Java, OSGi et les services Web pour realiser cette plateforme. Nous avons egalement valide nos modeles et notre approche d’adaptation sur une application medicale de suivi de patients dialyses a domicile.
Generalized anxiety disorder: Advances in research and practice.

I: Generalized Anxiety Disorder in the Clinic and in the Community 1. Clinical Presentation and Diagnostic Features, Douglas S. Mennin, Richard G. Heimberg, and Cynthia L. Turk 2. Epidemiology, Ronald C. Kessler, Ellen E. Walters, and Hans-Ulrich Wittchen 3. From Anxious Temperament to Disorder: An Etiological Model, Jennifer L. Hudson and Ronald M. Rapee II: Theoretical and Empirical Approaches 4. Avoidance Theory of Worry, Thomas D. Borkovec, Oscar M. Alcaine, and Evelyn Behar 5. Information-Processing Approaches: Assessing the Selective Functioning of Attention, Interpretation, and Retrieval, Colin MacLeod and Elizabeth Rutherford 6. The Role of Intolerance of Uncertainty in Etiology and Maintenance, Michel J. Dugas, Kristin Buhr, and Robert Ladouceur 7. A Cognitive Model of GAD: Metacognitions and Pathological Worry, Adrian Wells 8. Neurobiology, Smit S. Sinha, Jan Mohlman, and Jack M. Gorman III: Assessment and Treatment 9. Assessment, Cynthia L. Turk, Richard G. Heimberg, and Douglas S. Mennin 10. A Meta-Analytic Review of Cognitive-Behavioral Treatments, Robert A. Gould, Steven A. Safren, David O'Neill Washington, and Michael W. Otto 11.Cognitive-Behavioral Therapy, Robert Leahy 12. Supportive-Expressive Psychodynamic Therapy, Paul Crits-Christoph, Mary Beth Connolly Gibbons, and Katherine Crits-Christoph 13. Integrative Psychotherapy, Michele G. Newman, Louis G. Castonguay, Thomas D. Borkovec, and Christine Molnar 14. Pharmacological Treatment, R. Bruce Lydiard and Jeannine Monnier IV: Special Populations 15. Children and Adolescents, Anne Marie Albano and Sabine Hack 16.Older Adults, J. Gayle Beck and Patricia M. Averill
Weighted algorithms for compressed sensing and matrix completion

This paper is about iteratively reweighted basis-pursuit algorithms for compressed sensing and matrix completion problems. In a rst part, we give a theoretical explanation of the fact that reweighted basis pursuit can improve a lot upon basis pursuit for exact recovery in compressed sensing. We exhibit a condition that links the accuracy of the weights to the RIP and incoherency constants, which ensures exact recovery. In a second part, we introduce a new algorithm for matrix completion, based on the idea of iterative reweighting. Since a weighted nuclear \norm" is typically non-convex, it cannot be used easily as an objective function. So, we dene a new estimator based on a xed-point equation. We give empirical evidences of the fact that this new algorithm leads to strong improvements over nuclear norm minimization on simulated and real matrix completion problems.
Discriminative learning of multiset integrated canonical correlation analysis for feature fusion

Based on the consideration that multiset integrated canonical correlation analysis (MICCA) does not include the class information of the samples, this paper presents a discriminative learning version of MICCA, called discriminative-analysis of multiset integrated canonical correlations (DMICC). The extracted features by DMICC not only contain the class information of training samples, but also possess more powerful discriminant ability than those by MICCA. The proposed DMICC method is evaluated on the AR, ORL face image databases, and the COIL-20 object database. The experimental results on face and object recognition demonstrate that DMICC is significantly superior to MICCA.
Analysis II: Magnetic Resonance Imaging

Cognitive processes are widely distributed across the whole brain, involving interacting and overlapping brain regions. Magnetic resonance imaging (MRI) provides a non-invasive, in vivo, quantitative measurement of psycho-physiologically relevant parameters that are related to cognitive operations in the normal and abnormal brain. The combination of sophisticated experimental designs and powerful statistical analysis of MRI signals has become a powerful remarkably useful tool for cognitive neuroscience and psychology. The present chapter tries to give an overview of the main statistical tools used in structural and functional MRI analysis. In addition, we will also consider the analysis (preprocessing) and treatment of magnetic resonance images. While the following sections are restricted to MRI, certain points discussed below can also be applied to other neuroimaging techniques like positron emission tomography (PET). While the electroencephalography (EEG) section in Chapter 28 is focused on the temporal properties of the signals, this chapter emphasizes the spatial aspects. This is a reflection of the two major approaches of MRI in cognitive neuroscience: (1) structural imaging is performed to obtain an accurate description of the morphological characteristics of the studied brain; and (2) functional imaging provides information about the average hemodynamic response in each part of the brain (which is compartmentalized into many small volume units, 'voxels') when a subject performs a specific task. In both approaches, a detailed (structural or functional) spatial image of the brain is obtained. As the temporal resolution of the hemodynamic response is relatively slow, this has led to a preference for MR analysis to describe spatial aspects of the response.
The Language and Cross-Cultural Perceptions of Deception

The Language and Cross-Cultural Perceptions of Deception Brent Logan Laing Department of Linguistics and English Language, BYU Master of Arts While much research has shown that some linguistic features can indicate a person is lying, this line of research has led to conflicting results. Furthermore, very little research has been done to verify that these supposed linguistic features of deception are universal. In addition, few studies have researched the cross-cultural perceptions of deception, which knowledge could greatly improve the detection of deception across cultures. The current study addresses these gaps in the literature by analyzing and comparing truthful and deceptive discourse of eight native English-speaking Americans and eight non-native English-speaking Ghanaians. The discourse was elicited in one-on-one interviews where each interviewee spontaneously responded to questions about themselves. Later, interviewee responses were judged by 47 native Englishspeaking Americans and 35 non-native English-speaking Ghanaians. The results showed that Americans and Ghanaians lie differently—Americans’ lies were more superfluous and redundant; had more pronoun inconsistencies, adjectives, adverbs, and modal verbs; and had fewer negative emotion words than their truths. Ghanaians’ lies, on the other hand, also had more pronoun inconsistencies but had fewer negations than their truths. Furthermore, the groups’ baseline speech differed in superfluousness, positive emotion words, word count, and response latency. Regarding detecting deception, Ghanaians were slightly more accurate and significantly more confident in detecting lies than Americans. Both groups were slightly more accurate and confident in judging the veracity of statements within their own cultures. Neither group, however, demonstrated truthor lie-bias cross-culturally. These results have implications for law enforcement investigators and analysts who can learn the differences between Americans’ and Ghanaians’ truthful and deceptive speech so as to more accurately detect deception through language. In addition, cross-cultural deception perception research can improve cross-cultural communication and understanding.
Glycoproteomics of N‐glycosylation by in‐gel deglycosylation and matrix‐assisted laser desorption/ionisation‐time of flight mass spectrometry mapping: Application to congenital disorders of glycosylation

A general strategy for the structural evaluation of N‐glycosylation, a common post‐translational protein modification, is presented. The methods for the release of N‐linked glycans from the gel‐separated proteins, their isolation, purification and matrix‐assisted laser desorption/ionisation‐mass spectrometry (MALDI‐MS) analysis of their mixtures were optimised. Since many glycoproteins are available only at low quantities from sodium dodecyl sulphate‐polyacrylamide gel electrophoresis or two‐dimensional gels, high attention was paid to obtain N‐glycan mixtures representing their actual composition in human plasma by in‐gel deglycosylation. The relative sensitivity of solid MALDI matrices for MS analysis of acidic N‐glycans was compared. The most favourable results for native acidic N‐glycans were obtained with 2,4,6‐trihydroxyacetophenone monohydrate/diammoniumcitrate as a matrix. This matrix provided good results for both neutral and acidic mixtures as well as for methylated N‐glycans. In the second part of this paper the potential of such an optimised MS strategy alone or in combination with high pH anion‐exchange chromatography profiling for the clinical diagnosis of congenital disorders of glycosylation is presented.
Three-dimensional acoustic localisation via directed movements of a two-dimensional model of the lizard peripheral auditory system

Three-dimensional acoustic localisation is relevant in personal and social robot platforms. Conventional approaches extract interaural time difference cues via impractically large stationary two-dimensional multi-microphone grids with at least four microphones or spectral cues via head-related transfer functions of stationary KEMAR dummy heads equipped with two microphones. We present a preliminary approach using two sound sensors, whose directed movements resolve the location of a stationary acoustic target in three dimensions. A model of the peripheral auditory system of lizards provides sound direction information in a single plane which by itself is insufficient to localise the acoustic target in three dimensions. Two spatial orientations of this plane by rotating the sound sensors by −45° and +45° along the sagittal axis generate a pair of measurements, each encoding the location of the acoustic target with respect to one plane of rotation. A multi-layer perceptron neural network is trained via supervised learning to translate the combination of the two measurements into an estimate of the relative location of the acoustic target in terms of its azimuth and elevation. The acoustic localisation performance of the system is evaluated in simulation for noiseless as well as noisy sinusoidal auditory signals with a 20 dB signal-to-noise ratio for four different sound frequencies of 1450 Hz, 1650 Hz, 1850 Hz and 2050 Hz that span the response frequency range of the peripheral auditory model. Three different neural networks with respectively one hidden layer with ten neurons, one hidden layer with twenty neurons and two hidden layers with ten neurons are comparatively evaluated. The neural networks are evaluated for varying locations of the acoustic target on the surface of the frontal spherical section in space defined by an azimuth and elevation range of [−90°, +90°] with a resolution of 1° in both planes.
Plant hormone interactions during seed dormancy release and germination

This review focuses mainly on eudicot seeds, and on the interactions between abscisic acid (ABA), gibberellins (GA), ethylene, brassinosteroids (BR), auxin and cytokinins in regulating the interconnected molecular processes that control dormancy release and germination. Signal transduction pathways, mediated by environmental and hormonal signals, regulate gene expression in seeds. Seed dormancy release and germination of species with coat dormancy is determined by the balance of forces between the growth potential of the embryo and the constraint exerted by the covering layers, e.g. testa and endosperm. Recent progress in the field of seed biology has been greatly aided by molecular approaches utilizing mutant and transgenic seeds of Arabidopsis thaliana and the Solanaceae model systems, tomato and tobacco, which are altered in hormone biology. ABA is a positive regulator of dormancy induction and most likely also maintenance, while it is a negative regulator of germination. GA releases dormancy, promotes germination and counteracts ABA effects. Ethylene and BR promote seed germination and also counteract ABA effects. We present an integrated view of the molecular genetics, physiology and biochemistry used to unravel how hormones control seed dormancy release and germination.