pinecone/core-2020-05-10-deduplication huggingface dataset:
A functional perspective on personality

Personality psychology has made enormous progresses over the years by accumulating empirical evidence on how patterns of stable individual differences in behaviours can be clustered systematically at different levels of abstraction (i.e. traits and facets) and how they can predict important consequential outcomes. At the same time, functionally orientated researchers have accumulated a vast body of knowledge on environment-behaviour relations and the underlying behavioural principles, that is, abstract descriptions of the way in which behaviour is a function of elements in the past and present environment. We explore a functional perspective on personality that attempts to bridge the two domains and to exploit the best of both worlds. From this functional perspective, personality refers to the impact of the individual on different types of environment-behaviour relations as well as on the way other factors moderate those relations. We discuss the potential of this functional perspective on personality to organise existing scientific knowledge and inspire future research
Testing the Situationism Scale in Europe: Scale validation, self-regulation and regional differences

The term situationism refers to an individual's belief about the importance of a behaviour's context. This study tested whether the degree of situationism expressed by individuals in various regions of Europe was consistent with self-regulation and cross-cultural theories. The English version of a Situationism Scale (measuring beliefs about the relation between the environment and one's own behaviour) was translated into five additional languages: Dutch, German, Hungarian, Italian and Slovenian. Young adults (N = 1106, MAge = 22.9 years, 79% female) across Europe responded to one of the six language versions of the scale as part of a larger survey. Results indicated that: new language versions were psychometrically valid; there was a positive relation between situationism and the use of situation-control strategies; and situationism was higher for individuals from regions that are Eastern European and relatively more interdependent, compared with individuals from regions that are Western European and relatively less interdependent. As the first evaluation of the Situationism Scale outside America, this study supports the Scale's validity and suggests not only may some effects of situationism be universal, but between- and within-culture differences in situationism exist. Overall, when making judgments and decisions about the self, cultural background and individual differences in situationism may come into play
Immigrants’ adaptation to different cultural settings: A contextual perspective on acculturation

In modern multicultural societies more and more individuals deal with 2 or more cultures due to the unprecedented increase in international migration. This special section brings together research about immigrants' adaptation to various life domains, about the demands of dealing with different cultural scripts and about how immigrants can successfully bridge different cultural demands. This introduction to the special section provides a broader theoretical framework that links the different studies of the special section and demonstrates areas for further research. It also clearly illustrates the growing necessity for research in increasingly diverse societies
The impact of parenting styles on children developmental outcome : the role of academic self-concept as a mediator.

Although the importance of parenting styles directly influencing child development is well established, fewer studied have examined whether parenting styles also affect children’s behavioural problems indirectly, mediated through children’s academic self-concept (ASC). We examined direct and shared effects of parenting styles on behavioural\ud
AQ4 problems of 199 Kurdish primary school children with a mean age of 11 years 7 months (range 11; 5 months to 12;\ud
3 months). Questionnaires measured parenting styles (child version of Alabama Parenting Questionnaire), assessed\ud
children’s ASC (Myself-As-Learner Scale) and identified children’s behavioural problems (Strengths and Difficulties\ud
Questionnaire). PROCESS analysis was used to perform the mediation analysis. The results revealed that positive and\ud
negative parenting composites are indirectly related to children’s internalising behaviour problems. In addition, ASC\ud
partially mediated the relationship between the negative parenting composite and prosocial behaviour. However, the\ud
mediation analysis did not show the expected indirect effect of parenting styles on externalising problems as being\ud
mediated via ASC. Hence, we argue that the ASC serves as a significant mediator in the relationship between parenting\ud
styles with prosocial behaviour and internalising problems
Cross-cultural invariance of NPI-13: Entitlement as culturally specific, leadership and grandiosity as culturally universal

The file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.The current study explores the problem with the lack of measurement invariance for the\ud
Narcissistic Personality Inventory (NPI) by addressing two issues: conceptual heterogeneity\ud
of narcissism and methodological issues related to the binary character of data. We examine\ud
the measurement invariance of the 13-item version of the NPI in three populations in Japan,\ud
Poland and the UK. Analyses revealed that leadership/authority and grandiose exhibitionism\ud
dimensions of the NPI were cross-culturally invariant, while entitlement/exploitativeness was\ud
culturally specific. Therefore, we proposed NPI-9 as indicating scalar invariance, and we\ud
examined the pattern of correlations between NPI-9 and other variables across three countries.\ud
The results suggest that NPI-9 is valid brief scale measuring general levels of narcissism in\ud
cross-cultural studies, while the NPI-13 remains suitable for research within specific\ud
countries.Peer-reviewedPost-prin
Automatic Detection and Verification of Solar Features

YesA fast hybrid system for the automated detection and verification of active regions (plages) and filaments in solar images is presented in this paper. The system combines automated image processing with machine learning. The imaging part consists of five major stages. The solar disk is detected in the first stage, using a morphological hit-miss transform, watershed transform and Filling algorithm. An image-enhancement technique is introduced to remove the limb-darkening effect and intensity filtering is implemented followed by a modified region-growing technique to detect the regions of interest (RoI). The algorithms are tested on H- and CA II K3-line solar images that are obtained from Meudon Observatory, covering the period from July 2, 2001 till August 4, 2001. The detection algorithm is fast and it achieves false acceptance rate (FAR) error rate of 67% and false rejection rate (FRR) error rate of 3% for active regions, and FAR error rate of 19% and FRR error rate of 14% for filaments, when compared with the manually detected filaments in the synoptic maps. The detection performance is enhanced further using a neural network (NN), which is trained on statistical features extracted from the RoI and non-RoI. With the use of this combination the FAR has dropped to 2% for active regions and 4% for filaments.© 2006 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 15, 199-210, 200
Assessing human skin color from uncalibrated images

Images of a scene captured with multiple cameras will have different color values due to variations in color rendering across devices. We present a method to accurately retrieve color information from uncalibrated images taken under uncontrolled lighting conditions with an unknown device and no access to raw data, but with a limited number of reference colors in the scene. The method is used to assess skin tones. A subject is imaged with the calibration target in the scene. This target is extracted and its color values are used to compute a color correction transform that is applied to the entire image. We establish that the best mapping is done using a target consisting of skin colored patches representing the whole range of human skin colors. We show that color information extracted from images is well correlated with color data derived from spectral measurements of skin. We also show that skin color can be consistently measured across cameras with different color rendering and resolutions ranging from 0.1 Mpixels to 4.0 Mpixels
Challenges for molecular neuroimaging with MRI

Magnetic resonance (MRI)-based molecular imaging methods are beginning to have impact in neuroscience. A growing number of molecular imaging agents have been synthesized and tested in vitro, but so far relatively few have been validated in the brains of live animals. Here, we discuss key challenges associated with expanding the repertoire of successful molecular neuroimaging approaches. The difficulty of delivering agents past the blood-brain barrier (BBB) is a particular obstacle to molecular imaging in the central nervous system. We review established and emerging techniques for trans-BBB delivery, including intracranial infusion, BBB disruption, and transporter-related methods. Improving the sensitivity with which MRI-based molecular agents can be detected is a second major challenge. Better sensitivity would in turn reduce the requirements for delivery and alleviate potential side effects. We discuss recent efforts to enhance relaxivity of conventional longitudinal relaxation time (T1) and transverse relaxation time (T2) MRI contrast agents, as well as strategies that involve amplifying molecular signals or reducing endogenous background influences. With ongoing refinement of imaging approaches and brain delivery methods, MRI-based techniques for molecular-level neuroscientific investigation will fall increasingly within reach.Raymond and Beverley Sackler FoundationNational Institutes of Health (U.S.) (R01-DA28299)National Institutes of Health (U.S.) (DP2-OD2441
Tiled top-down combinatorial pyramids for large images representation

International audienceThe uprising number of applications that involve very large images with resolutions greater than 30\,000$\times$30\,000 raises major memory management issues. Firstly, the amount of data usually prevents such images from being processed globally and therefore, designing a global image partition raises several issues. Secondly, a multi-resolution approach is necessary since an analysis only based on the highest resolution may miss global features revealed at lower resolutions. This paper introduces the tiled top-down pyramidal framework which addresses these two main constraints. Our model provides a full representation of multi-resolution images with both geometrical and topological relationships. The advantage of a top-down construction scheme is twofold: the focus of attention only refines regions of interest which results in a reduction of the amount of required memory and in a refinement process that may take into account hierarchical features from previous segmentations. Moreover, the top-down model is combined with a decomposition in tiles to provide an accurate memory bounding while allowing global analysis of large images
A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio

Standard X-ray images using conventional screen-film technique have a limited field of view and failed to visualize the entire long bone on a single image. To produce images with whole body parts, digitized images from the films that contain portions of the body parts are assembled using image stitching. This article presents a new medical image stitching method that uses minimum average correlation energy filters to identify and merge pairs of X-ray medical images. The effectiveness of the proposed method is demonstrated in the experiments involving two databases that contain a total of 40 pairs of overlapping and nonoverlapping images. Then the experimental results are compared to those of the normalized cross correlation (NCC) method. It is found that the proposed method outperforms the NCC method in identifying both the overlapping and nonoverlapping medical images. The efficacy of the proposed method is further vindicated by its average execution time which is about five times shorter than that of the NCC method. Â© 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 166-171, 2012 Copyright Â© 2012 Wiley Periodicals, Inc
Integrated Segmentation of Brain Tumor Images for Radiotherapy and Neurosurgery

Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas to MR images of tumor patients. In order to establish correspondence between a healthy atlas and a pathologic patient image, tumor growth modeling in combination with registration algorithms is employed. In a first step, the tumor is grown in the atlas based on a new multi-scale, multi-physics model including growth simulation from the cellular level up to the biomechanical level, accounting for cell proliferation and tissue deformations. Large-scale deformations are handled with an Eulerian approach for finite element computations, which can operate directly on the image voxel mesh. Subsequently, dense correspondence between the modified atlas and patient image is established using nonrigid registration. The method offers opportunities in atlasbased segmentation of tumor-bearing brain images as well as for improved patient-specific simulation and prognosis of tumor progression
Bone segmentation and 3D visualization of CT images for traumatic pelvic injuries

Pelvic bone segmentation is a vital step in analyzing pelvic CT images, which assists physicians with diagnostic decision making in cases of traumatic pelvic injuries. Due to the limited resolution of the original CT images and the complexity of pelvic structures and their possible fractures, automatic pelvic bone segmentation in multiple CT slices is very difficult. In this study, an automatic pelvic bone segmentation approach is proposed using the combination of anatomical knowledge and computational techniques. It is developed for solving the problem of accurate and efficient bone segmentation using multiple consecutive pelvic CT slices obtained from each patient. Our proposed segmentation method is able to handle variation of bone shapes between slices there by making it less susceptible to inter‐personal variability between different patients' data. Moreover, the designed training models are validated using a cross‐validation process to demonstrate the effectiveness. The algorithm's capability is tested on a set of 20 CT data sets. Successful segmentation results and quantitative evaluations are present to demonstrate the effectiveness and robustness of proposed algorithm, well suited for pelvic bone segmentation purposes
Content-based video retrieval: three example systems from TRECVid

The growth in available online video material over the internet is generally combined with user-assigned tags or content description, which is the mechanism by which we then access such video.  However, user-assigned tags have limitations for retrieval and often we want access where the content of the video itself is directly matched against a user’s query rather than against some manually assigned surrogate tag. Content-based video retrieval techniques are not yet scalable enough to allow interactive searching on internet-scale, but the techniques are proving robust and effective for smaller collections. In this paper we show 3 exemplar systems which demonstrate the state of the art in interactive, content-based retrieval of video shots, and these three are just three of the more than 20 systems developed for the 2007 iteration of the annual TRECVid benchmarking activity. The contribution of our paper is to show that retrieving from video using content-based \ud
methods is now viable, that it works, and that there are many systems which now do this, such as the three outlined herein.  These systems, and others can provide effective search on hundreds of hours of video content and are samples of the kind of content-based search functionality we can expect to see on larger video archives when issues of scale are addressed
Risks and Outcomes Associated with Disorganized/Controlling Patterns of Attachment at Age Three in the NICHD Study of Early Child Care and Youth Development

Disorganized/controlling attachment in preschool has been found to be associated with maternal and child maladjustment, making it of keen interest in the study of psychopathology. Additional work is needed, however, to better understand disorganized/controlling attachment occurring as early as age three. The primary aims of this study were to evaluate risk factors and outcomes associated with disorganized/controlling behavior at age three and to evaluate the risk factors and outcomes differentiating the four subtypes of disorganized/controlling attachment. Analyses were conducted with the first two phases of the NICHD Study of Early Child Care and Youth Development, a prospective study of 1,364 children from birth. At 36 months of age, across the attachment-relevant domains of maternal well-being, mother-child interactions, and child social adaptation, the disorganized/controlling group evidenced the most maladaptive patterns in comparison to both secure and insecure-organized groups. At 54 months of age, the disorganized/controlling group displayed the highest levels of internalizing and externalizing behavior problems, as rated by mothers and teachers, and the lowest quality relationships with teachers. Significant differences found among the disorganized/controlling subtypes indicated that the behaviorally disorganized and controlling-punitive subtypes had more maladaptive patterns across variables than did the controlling-caregiving and controlling-mixed subtypes
LOW-INCOME, MINORITY FATHERS’ CONTROL STRATEGIES AND THEIR CHILDREN'S REGULATORY SKILLS

The current study explored the bidirectional association of children’s individual characteristics, fathers’ control strategies at 24 months,
and children’s regulatory skills at prekindergarten (pre-K). Using a sample of low-income, minority families with 2-year-olds from the Early Head
Start Research and Evaluation Project (n = 71), we assessed the association between child gender and vocabulary skills, fathers’ control strategies
at 24 months (e.g., regulatory behavior and regulatory language), and children’s sustained attention and emotion regulation at prekindergarten. There
were three main findings. First, fathers overwhelmingly used commands (e.g., “Do that.”) to promote compliance in their 24-month-old children.
Second, children’s vocabulary skills predicted fathers’ regulatory behaviors during a father–child interaction whereas children’s gender predicted
fathers’ regulatory language during an interaction. Third, controlling for maternal supportiveness, fathers’ regulatory behaviors at 24 months predicted
children’s sustained attention at pre-K whereas fathers’ regulatory language at 24 months predicted children’s emotion regulation at pre-K. Our findings
highlight the importance of examining paternal contributions to children’s regulatory skills
Reflection in Home Visiting: The What, Why, and a Beginning Step Toward How

The work of home visitors in early childhood fields may include addressing many challenges to achieving curricular outcomes, including issues such as maintaining boundaries and managing one’s own reactions to children, parents, and overall family situations. Increasingly, reflective supervision and consultation are recognized as a way for workers in home visiting early intervention and early care fields to address these personal and professional challenges and build competence (Watson, Gatti, Cox, Harrison, & Hennes, 2014). The features of home visiting that make reflective supervision/consultation essential are discussed. Next, results of a pilot project in which a sample of Part C early intervention providers respond to a vignette portraying a challenging parent-child interaction are briefly presented and discussed. Despite often stating the importance of relationships, participants did not identify concrete methods of supporting relationship or demonstrate recognition of parallel process. In addition, providers seldom endorsed the use of reflective skills, such as observing, listening, wondering, or reflecting (Weatherston, 2013) and no providers discussed a need for reflective supervision/consultation. We suggest that these findings illustrate some of the areas in which early intervention home visitors could benefit from participation in reflective supervision/consultation to move from identifying reflective skills as important to actually
being able to use such skills in their work with families
Overcoming engineering challenges of providing an effective user interface to a large scale  distributed synthetic environment on the US teragrid: a systems engineering success story

This paper is closed access.Over recent years’ large-scale distributed synthetic environment enterprises have been evolving in a diverse range of scientific and engineering fields. These computer modelling and simulation systems are increasing in scale and dimension in order to allow scientists and engineers to explore the attributes and emergent properties of a given system design. Within the field of computational science, the grid facilitates very large-scale collaborative simulation enterprises. The grid is similar to distributed interactive simulation/high level architecture (DIS/HLA) in that it supports interconnectivity but differs in the sense that it supports intercommunication of large super computing resources. An important factor in the rapid adoption of the grid has been its role in enabling access to significant supercomputing resources not usually available at a single institution. However, the major challenge for the grid has been the lack of an effective and ubiquitous interface to the huge computational resource (which can comprise over 6000 CPUs distributed across the globe) at any time and from any location. This paper describes a unique user interface built on systems engineering principles and practices to solve the problem of delivering real-time interaction (from lightweight computing devices such as personal digital assistants, commonly known as tablet devices, to high end computing platforms) with simulations delivering high resolution 3D images. The application of our work has far reaching benefits for many sectors including: aerospace, medical informatics, engineering design, distributed simulation, and modelling
How to build aggregation operators from data

This article discusses a range of regression techniques specifically tailored to building aggregation operators from empirical data. These techniques identify optimal parameters of aggregation operators from various classes (triangular norms, uninorms, copulas, ordered weighted aggregation (OWA), generalized means, and compensatory and general aggregation operators), while allowing one to preserve specific properties such as commutativity or associativity. &copy; 2003 Wiley Periodicals, Inc.<br /