56 research outputs found
Loneliness and hypervigilance to social cues: An eye-tracking study
No full textItem does not contain fulltextThis data deposit contains data from the project “Loneliness and Hypervigilance to Social Cues in Females: An Eye-Tracking Study”
The dataset contains the following data:
- File 0: Questionnaire data. Contains the questionnaires loneliness (UCLA), social anxiety (SPIN) and depression (CES-D), and information on who is in the lonely and nonlonely group (lonely_group).
- File 1: Eye-tracking data from the first task
- File 2: Eye-tracking data from the second task
- File 3: Eye-tracking data from the third task
- File 4: Eye-tracking data from the fourth task
All eye-tracking files contain all fixations that were measured during the eye-tracking task.
The process for aggregating these data is described in the paper “Loneliness and Hypervigilance to Social Cues in Females: An Eye-Tracking Study”.
The syntaxes for creating these data can be obtained by contacting the first author of the study (Gerine Lodder)
Loneliness and hypervigilance to social cues: An eye-tracking study
No full textThis data deposit contains data from the project “Loneliness and Hypervigilance to Social Cues in Females: An Eye-Tracking Study”
The dataset contains the following data:
- File 0: Questionnaire data. Contains the questionnaires loneliness (UCLA), social anxiety (SPIN) and depression (CES-D), and information on who is in the lonely and nonlonely group (lonely_group).
- File 1: Eye-tracking data from the first task
- File 2: Eye-tracking data from the second task
- File 3: Eye-tracking data from the third task
- File 4: Eye-tracking data from the fourth task
All eye-tracking files contain all fixations that were measured during the eye-tracking task.
The process for aggregating these data is described in the paper “Loneliness and Hypervigilance to Social Cues in Females: An Eye-Tracking Study”.
The syntaxes for creating these data can be obtained by contacting the first author of the study (Gerine Lodder)
Loneliness and hypervigilance to social cues: An eye-tracking study
No full textThis data deposit contains data from the project “Loneliness and Hypervigilance to Social Cues in Females: An Eye-Tracking Study”
The dataset contains the following data:
- File 0: Questionnaire data. Contains the questionnaires loneliness (UCLA), social anxiety (SPIN) and depression (CES-D), and information on who is in the lonely and nonlonely group (lonely_group).
- File 1: Eye-tracking data from the first task
- File 2: Eye-tracking data from the second task
- File 3: Eye-tracking data from the third task
- File 4: Eye-tracking data from the fourth task
All eye-tracking files contain all fixations that were measured during the eye-tracking task.
The process for aggregating these data is described in the paper “Loneliness and Hypervigilance to Social Cues in Females: An Eye-Tracking Study”.
The syntaxes for creating these data can be obtained by contacting the first author of the study (Gerine Lodder)
Bully Victimization: Selection and Influence Within Adolescent Friendship Networks and Cliques
No full textPaper - Open Access, published as:
Lodder, G.M.A., Scholte, R.H.J., Cillessen, A.H.N., & Giletta, M. (2016). Bully victimization: Selection and Influence Within Adolescent Friendship Networks and Cliques. Journal of Youth and Adolescence, 45, 132-144.
Adolescents tend to form friendships with similar peers and, in turn, their friends further influence adolescents’ behaviors and attitudes. Emerging work has shown that these selection and influence processes also might extend to bully victimization. However, no prior work has examined selection and influence effects involved in bully victimization within cliques, despite theoretical account emphasizing the importance of cliques in this regard. This study examined selection and influence processes in adolescence regarding bully victimization both at the level of the entire friendship network and the level of cliques. We used a two-wave design (5-month interval). Participants were 543 adolescents (50.1 % male, Mage = 15.8) in secondary education. Stochastic actorbased models indicated that at the level of the larger friendship network, adolescents tended to select friends with similar levels of bully victimization as they themselves. In addition, adolescent friends influenced each other in terms of bully victimization over time. Actor Parter Interdependence models showed that similarities in bully victimization between clique members were not due to selection of clique members. For boys, average clique bully victimization predicted individual bully victimization over time (influence), but not vice versa. No influence was found for girls, indicating that different mechanisms may underlie friend influence on bully victimization for girls and boys. The differences in results at the level of the larger friendship network versus the clique emphasize the importance of taking the type of friendship ties into account in research on selection and influence processes involved in bully victimization
On the design of near-optimum control procedures with the aid of the lyapunov stability theory
No full textMechanical, Maritime and Materials Engineerin
Some future directions in computational failure mechanics
No full textContinuum approaches are reviewed which can properly model localised deformations that act as a precursor to final fracture in quasi-brittle materials. Next, one such higher-order damaging continuum model is combined with a stochastic approach to describe the heterogeneity in quasi-brittle materials
Engineering aspects of biocatalysts in industrial starch conversion technology
No full textSummary in DutchApplied SciencesApplied Science
Finite element reliability methods using DIANA
No full textFinite element relia.bility methods (FERM) a.re used for the analysis of a simply supported beam with a randomly distributed elastic stiffness. Two-noded Euler beam elements have been used to model the structure. The probability of exceeding a given threshold for the deflection at a certain point is calculated via FERM. The computer implementation makes use of the DIANA 5.0 finite element code
Towards better decision support during planned maintenance in the Oxygen Steel Factory 2: An analysis of the effects of maintenance on steel ladle routing
No full textTata Steel IJmuiden (Tata Steel) is the successor of Koninklijke Nederlandsche Hoogovens en Staalfabrieken NV. Tata Steel is now part of Tata Steel Group, Indias largest industrial group producing in excess of 20 million tons of crude steel annually. Tata Steel produces seven million tons of high quality coated steel per annum. In chapter 1 the Tata Steel factory layout for the Oxygen Steel Factory 2 (OSF2) and process steps are illustrated. The key issue for this research is the logistical friction between (planned) maintenance and production continuity. This logistical challenge is projected on Tata Steels focal points. The chapter concludes with both the goal of this research - to create a scientifically underpinned decision support tool - and the outline of the report. In order to design the outline for a decision support tool, aiming to investigate the relationship between maintenance and production continuity, the study of the relevant literature is reported in chapter 2. It is evident that varying scientific approaches have been carried out to study steel production factories specifically, and maintenance versus production continuity in general. Roughly three different approaches are distinguished: (1) Integral production process improvement methods, represented by amongst others lean manufacturing, theory of constraints, quick response manufacturing and six sigma, (2) specific production process analysis and improvements methods varying from model- and simulation based approaches to more descriptive research approaches, (3) project management approaches geared towards operational effectiveness...Mechanical, Maritime and Materials EngineeringMarine and Transport TechnologyTransport Engineering and Logistics2015.TEL.794
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