36,686 research outputs found
Integrating the voices of ordinary peopel in the understanding of well-being
The aim of this communication in the II Scientific Meeting in Psychology is to present some of the research, that is being done at the University of EÌvora, around the construct of Well-being, and to discuss the importance of integrating the voices of ordinary people in the understanding of Well-being. We will invite and argue for qualitative research that includes and facilitates our research participantsâ thoughtful contributions about Well-being, in a rigorous and system- atic way. We will also briefly discuss some findings of a previous study, about former psychotherapy patients perspectives about Well-being, to empirically illustrate our thoughts.FC
Effects of clown doctors on child and caregiver anxiety at the entrance to the surgery care unit and separation from caregivers
This study investigated the effects of hospital Clown Doctors intervention on child and
caregiver preoperative anxiety at the entrance to the surgery care unit and separation
from caregivers. A total of 88 children (aged 4-12 years) were assigned to one of the
following two groups: Clown Doctors intervention or control group (standard care).
Independent observational records using the modified Yale Preoperative Anxiety Scale
instrument assessed childrenâs anxiety, while the State-Trait Anxiety Inventory
measured caregiverâs state anxiety. In addition, caregivers assessed the childrenâs
functional health problems by completing the Functional Status Questionnaire. Although
no effects of Clown Doctors were found on childrenâs anxiety, results showed that both
low functional health problems and Clown Doctors intervention were significant
predictors of lower caregiver anxiety. Caregivers also reported being very satisfied with
their intervention. Overall, this study demonstrated the positive role of Clown Doctors
for caregivers at a specific pediatric hospital setting.peer-reviewe
Finding Academic Experts on a MultiSensor Approach using Shannon's Entropy
Expert finding is an information retrieval task concerned with the search for
the most knowledgeable people, in some topic, with basis on documents
describing peoples activities. The task involves taking a user query as input
and returning a list of people sorted by their level of expertise regarding the
user query. This paper introduces a novel approach for combining multiple
estimators of expertise based on a multisensor data fusion framework together
with the Dempster-Shafer theory of evidence and Shannon's entropy. More
specifically, we defined three sensors which detect heterogeneous information
derived from the textual contents, from the graph structure of the citation
patterns for the community of experts, and from profile information about the
academic experts. Given the evidences collected, each sensor may define
different candidates as experts and consequently do not agree in a final
ranking decision. To deal with these conflicts, we applied the Dempster-Shafer
theory of evidence combined with Shannon's Entropy formula to fuse this
information and come up with a more accurate and reliable final ranking list.
Experiments made over two datasets of academic publications from the Computer
Science domain attest for the adequacy of the proposed approach over the
traditional state of the art approaches. We also made experiments against
representative supervised state of the art algorithms. Results revealed that
the proposed method achieved a similar performance when compared to these
supervised techniques, confirming the capabilities of the proposed framework
Applying a Life-Cycle Costs Approach to Water
This working paper presents findings and recommendations from the application of a life-cycle costs approach (LCCA) to water supply services in rural communities and small towns1 in four countries -- Andhra Pradesh (India), Burkina Faso, Ghana and Mozambique
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