Search results for "SCALE"
showing 10 items of 5180 documents
RELATIONSHIPS AND DIFFERENCES IN IMPLICITE INTELLIGENCE, PERCEIVED SOCIAL SUPPORT, AND PERCEIVED ACADEMIC SELF-EFFICACY AMONG COMPREHENSIVE SCHOOL ST…
2020
The purpose of this study was to explore relationships of implicit intelligence, perceived social support and perceived academic self-efficacy and to identify how these factors influence academic achievements amongst youth, as well as implement adaption of the revised implicit theories of intelligence (self-theory) scale (De Castell & Byrne, 2015) in Latvia. The research was based on implicit intelligence, perceived social support and academical self-efficacy theories. Nowadays, a growing amount of attention is focused on the reasons driving the academic achievements, self-belief and cumulates conversations about the importance of a social support. According to other scientists’ notes, …
A validation of the early childhood classroom observation measure in Finnish and Estonian kindergarten
2012
Research Findings: The aim of the study was to examine the applicability and psychometric properties of the Early Childhood Classroom Observation Measure (ECCOM; D. J. Stipek & P. Byler, 2005) outside the United States. The ECCOM was used to observe 83 kindergarten teachers (49 in Finland and 34 in Estonia) in classroom situations. Self-ratings were obtained of teachers’ teaching practices, curriculum goals, efficacy beliefs, instructional activities, work experience, and group size. The analyses indicated 1-factor solutions for each of the ECCOM dimensions (i.e., Child-Centered, Teacher-Directed, and Child-Dominated) and high reliabilities for all dimensions, subscales (i.e., Management, C…
Pre-service Teachers’ Views on inclusive Education in Ghana
2013
Pre-service teacher training has been identified as one of the key factors in the promotion of inclusive education. In this study, 200 final-year pre-service teachers from three colleges of education in Ghana were surveyed about their views and knowledge on inclusive education and special educational needs (SEN). The results showed that almost all of the participants had been introduced to the concept of inclusion during their studies. However, only one-third felt highly, or somewhat, prepared to teach children with SEN. The level of knowledge and feelings of self-efficacy were highest among those pre-service teachers who had personal experience of supporting children with SEN during their …
The social engagement framework for addressing the chronic-disease-challenge
2020
Abstract Background The Social Engagement Framework for Addressing the Chronic-disease-challenge (SEFAC) intends to empower citizens to self-manage chronic conditions by combining mindfulness, social engagement and ICT support. This study evaluates effects in terms of perceived effectiveness, utility, efficiency, sustainability and satisfaction with SEFAC intervention. Methods A prospective cohort study with 6-month pre-post design was conducted in Croatia, Italy and the Netherlands. A total of 270 citizens ≥50 and at risk of or with a chronic condition were recruited. Self-reported effects of SEFAC intervention were assessed post-intervention using 5-point Likert scale [Strongly disagree -…
Engineering 3D ordered molecular thin films by a nanoscale control
2010
This perspective aims to report on experimental preparation and investigation tools for engineering molecular thin films with a three-dimensional (3D) nanoscale control that is of relevant interest for different emerging applications as well as for the development of calibration standards. Such thin films may be obtained by man-made methods, self-assembly or spatio-temporal self-organization and/or by the combination of these last approaches with external tools. Understanding the main features and the physical-chemistry underlying the related ordering phenomena is in due course and a theoretical framework is under development. In this respect it is of fundamental importance to achieve the a…
Timbre Similarity: Convergence of Neural, Behavioral, and Computational Approaches
1998
The present study compared the degree of similarity of timbre representations as observed with brain recordings, behavioral studies, and computer simulations. To this end, the electrical brain activity of subjects was recorded while they were repetitively presented with five sounds differing in timbre. Subjects read simultaneously so that their attention was not focused on the sounds. The brain activity was quantified in terms of a change-specific mismatch negativity component. Thereafter, the subjects were asked to judge the similarity of all pairs along a five-step scale. A computer simulation was made by first training a Kohonen self-organizing map with a large set of instrumental sounds…
Stable Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and a Modified Fuzzy C-Means Clustering
2011
In this paper an automatic unsupervised method for the segmentation of retinal vessels is proposed. Three features are extracted from the tested image. The features are scaled down by a factor of 2 and mapped into a Self-Organizing Map. A modified Fuzzy C-Means clustering algorithm is used to divide the neuron units of the map in 2 classes. The entire image is again input for the Self-Organizing Map and the class of each pixel will be the class of its best matching unit in the Self-Organizing Map. Finally, the vessel network is post-processed using a hill climbing strategy on the connected components of the segmented image. The experimental evaluation on the DRIVE database shows accurate ex…
Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering
2011
In this paper an automatic unsupervised method for the segmentation of retinal vessels is proposed. A Self-Organizing Map is trained on a portion of the same image that is tested and K-means clustering algorithm is used to divide the map units in 2 classes. The entire image is again input for the Self-Organizing Map, and the class of each pixel will be the class of the best matching unit on the Self-Organizing Map. Finally, the vessel network is post-processed using a hill climbing strategy on the connected components of the segmented image. The experimental evaluation on the publicly available DRIVE database shows accurate extraction of vessels network and a good agreement between our segm…
Self-organizing maps: A new digital architecture
1991
An original hardware architecture implementing the self-organizing feature maps, which is one of the most powerful and efficent neural network algorithm, is presented. The architecture, contrary to the most investigated hardware implementations of neural networks, is a full digital one and it may be easily built by using the standard VLSI techniques.
Improved Upper Limit on the Neutrino Mass from a Direct Kinematic Method by KATRIN
2019
We report on the neutrino mass measurement result from the first four-week science run of the Karlsruhe Tritium Neutrino experiment KATRIN in spring 2019. Beta-decay electrons from a high-purity gaseous molecular tritium source are energy analyzed by a high-resolution MAC-E filter. A fit of the integrated electron spectrum over a narrow interval around the kinematic end point at 18.57 keV gives an effective neutrino mass square value of (−1.0−1.1+0.9) eV2. From this, we derive an upper limit of 1.1 eV (90% confidence level) on the absolute mass scale of neutrinos. This value coincides with the KATRIN sensitivity. It improves upon previous mass limits from kinematic measurements by almost a …