356,643 research outputs found
Relating emotional intelligence to academic achievement among university students in Barbados
This study investigated the relationships between emotional intelligence and academic
achievement among 151 undergraduate psychology students at The University of the
West Indies (UWI), Barbados, making use of Barchard (2001)âs Emotional Intelligence
Scale and an Academic Achievement Scale. Findings revealed significant positive
correlations between academic achievement and six of the emotional intelligence
components, and a negative correlation with negative expressivity. The emotional
intelligence components also jointly contributed 48% of the variance in academic
achievement. Attending to emotions was the best predictor of academic achievement
while positive expressivity, negative expressivity and empathic concern were other
significant predictors. Emotion-based decision-making, responsive joy and responsive
distress did not make any significant relative contribution to academic achievement,
indicating that academic achievement is only partially predicted by emotional
intelligence. These results were discussed in the context of the influence of emotional
intelligence on university studentsâ academic achievement.peer-reviewe
The role of trait emotional intelligence and social and emotional skills in studentsâ emotional and behavioural strengths and difficulties : a study of Greek adolescentsâ perceptions
The emergence of the Trait Emotional Intelligence construct shifted the interest in
personality research to the investigation of the effect of global personality characteristics
on behaviour. A second body of research in applied settings, the Social and Emotional
Learning movement, emphasized the cultivation of emotional and social skills for
positive relationships in a school environment. In this paper we investigate the role of
both personality traits and social and emotional skills, in the occurrence of emotional and
behavioural strengths and difficulties, according to adolescent studentsâ self-perceptions.
Five hundred and fifty-nine students from state secondary schools in Greece, aged 12-14
years old, completed The Trait Emotional Intelligence Questionnaire-Adolescent Short
Form, The Matson Evaluation of Social Skills with Youngsters, and The Strengths and
Difficulties Questionnaire. It was found that students with higher Trait Emotional
Intelligence and stronger social and emotional skills were less likely to present
emotional, conduct, hyperactivity and peer difficulties and more likely to present
prosocial behaviour. Gender was a significant factor for emotional difficulties and grade
for peer difficulties. The paper describes the underlying mechanisms of studentsâ
emotional and behavioural strengths and difficulties, and provides practical implications
for educators to improve the quality of studentsâ lives in schools.peer-reviewe
3D medical volume segmentation using hybrid multiresolution statistical approaches
This article is available through the Brunel Open Access Publishing Fund. Copyright © 2010 S AlZuâbi and A Amira.3D volume segmentation is the process of partitioning voxels into 3D regions (subvolumes) that represent meaningful physical entities which are more meaningful and easier to analyze and usable in future applications. Multiresolution Analysis (MRA) enables the preservation of an image according to certain levels of resolution or blurring. Because of multiresolution quality, wavelets have been deployed in image compression, denoising, and classification. This paper focuses on the implementation of efficient medical volume segmentation techniques. Multiresolution analysis including 3D wavelet and ridgelet has been used for feature extraction which can be modeled using Hidden Markov Models (HMMs) to segment the volume slices. A comparison study has been carried out to evaluate 2D and 3D techniques which reveals that 3D methodologies can accurately detect the Region Of Interest (ROI). Automatic segmentation has been achieved using HMMs where the ROI is detected accurately but suffers a long computation time for its calculations
Multi-level agent-based modeling - A literature survey
During last decade, multi-level agent-based modeling has received significant
and dramatically increasing interest. In this article we present a
comprehensive and structured review of literature on the subject. We present
the main theoretical contributions and application domains of this concept,
with an emphasis on social, flow, biological and biomedical models.Comment: v2. Ref 102 added. v3-4 Many refs and text added v5-6 bibliographic
statistics updated. v7 Change of the name of the paper to reflect what it
became, many refs and text added, bibliographic statistics update
Image and interpretation using artificial intelligence to read ancient Roman texts
The ink and stylus tablets discovered at the Roman Fort of Vindolanda are a unique resource for scholars of ancient history. However, the stylus tablets have proved particularly difficult to read. This paper describes a system that assists expert papyrologists in the interpretation of the Vindolanda writing tablets. A model-based approach is taken that relies on models of the written form of characters, and statistical modelling of language, to produce plausible interpretations of the documents. Fusion of the contributions from the language, character, and image feature models is achieved by utilizing the GRAVA agent architecture that uses Minimum Description Length as the basis for information fusion across semantic levels. A system is developed that reads in image data and outputs plausible interpretations of the Vindolanda tablets
Properties of ABA+ for Non-Monotonic Reasoning
We investigate properties of ABA+, a formalism that extends the well studied
structured argumentation formalism Assumption-Based Argumentation (ABA) with a
preference handling mechanism. In particular, we establish desirable properties
that ABA+ semantics exhibit. These pave way to the satisfaction by ABA+ of some
(arguably) desirable principles of preference handling in argumentation and
nonmonotonic reasoning, as well as non-monotonic inference properties of ABA+
under various semantics.Comment: This is a revised version of the paper presented at the worksho
One-Class Classification: Taxonomy of Study and Review of Techniques
One-class classification (OCC) algorithms aim to build classification models
when the negative class is either absent, poorly sampled or not well defined.
This unique situation constrains the learning of efficient classifiers by
defining class boundary just with the knowledge of positive class. The OCC
problem has been considered and applied under many research themes, such as
outlier/novelty detection and concept learning. In this paper we present a
unified view of the general problem of OCC by presenting a taxonomy of study
for OCC problems, which is based on the availability of training data,
algorithms used and the application domains applied. We further delve into each
of the categories of the proposed taxonomy and present a comprehensive
literature review of the OCC algorithms, techniques and methodologies with a
focus on their significance, limitations and applications. We conclude our
paper by discussing some open research problems in the field of OCC and present
our vision for future research.Comment: 24 pages + 11 pages of references, 8 figure
Interoperability, Trust Based Information Sharing Protocol and Security: Digital Government Key Issues
Improved interoperability between public and private organizations is of key
significance to make digital government newest triumphant. Digital Government
interoperability, information sharing protocol and security are measured the
key issue for achieving a refined stage of digital government. Flawless
interoperability is essential to share the information between diverse and
merely dispersed organisations in several network environments by using
computer based tools. Digital government must ensure security for its
information systems, including computers and networks for providing better
service to the citizens. Governments around the world are increasingly
revolving to information sharing and integration for solving problems in
programs and policy areas. Evils of global worry such as syndrome discovery and
manage, terror campaign, immigration and border control, prohibited drug
trafficking, and more demand information sharing, harmonization and cooperation
amid government agencies within a country and across national borders. A number
of daunting challenges survive to the progress of an efficient information
sharing protocol. A secure and trusted information-sharing protocol is required
to enable users to interact and share information easily and perfectly across
many diverse networks and databases globally.Comment: 20 page
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