Comparison and evaluation of states of health

Starting from a finite or countable set of states of health, and assumingthe existence of an objective transitive preference relation on that set,we propose a way of performing interpersonal comparisons of states ofhealth. In so doing, we first consider the population divided into types,and consider that two individuals of a different type have a comparablestate of health whenever they sit at the same centile of their respectivetype. A way of comparing and evaluating states of health for differentgroups is then proposed and rationalized. This can be viewed as both analternative and an extension of the traditional QALY approach.

Extension and evaluation of JXTA protocols for supporting reliable P2P distributed computing

Peer-reviewed

Analysis and evaluation of techniques for the extraction of classes in the ontology learning process

This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.

Design and evaluation of a panel os single-nucleotide polymorphisms in microRNA genomic regions for association studies in human disease

MicroRNAs (miRNA) are recognized posttranscriptional gene repressors involved in the control of almost every biological process. Allelic variants in these regions may be an important source of phenotypic diversity and contribute to disease susceptibility. We analyzed the genomic organization of 325 human miRNAs (release 7.1, miRBase) to construct a panel of 768 single-nucleotide polymorphisms (SNPs) covering approximately 1 Mb of genomic DNA, including 131 isolated miRNAs (40%) and 194 miRNAs arranged in 48 miRNA clusters, as well as their 5-kb flanking regions. Of these miRNAs, 37% were inside known protein-coding genes, which were significantly associated with biological functions regarding neurological, psychological or nutritional disorders. SNP coverage analysis revealed a lower SNP density in miRNAs compared with the average of the genome, with only 24 SNPs located in the 325 miRNAs studied. Further genotyping of 340 unrelated Spanish individuals showed that more than half of the SNPs in miRNAs were either rare or monomorphic, in agreement with the reported selective constraint on human miRNAs. A comparison of the minor allele frequencies between Spanish and HapMap population samples confirmed the applicability of this SNP panel to the study of complex disorders among the Spanish population, and revealed two miRNA regions, hsa-mir-26a-2 in the CTDSP2 gene and hsa-mir-128-1 in the R3HDM1 gene, showing geographical allelic frequency variation among the four HapMap populations, probably because of differences in natural selection. The designed miRNA SNP panel could help to identify still hidden links between miRNAs and human disease.

Experimental Results and Evaluation of SmartBox Stimulation Device in a P2P E-learning System

In this paper, we present the experimental results and evaluation of the SmartBox stimulation device in P2P e-learning system which is based on JXTA-Overlay. We also show the design and implementation of the SmartBox environment that is used for stimulating the learners motivation to increase the learning efficiency. The SmartBox is integrated with our P2P system as a useful tool for monitoring and controlling learners¿ activity. We found by experimental results that the SmartBox is an effective way to increase the learner¿s concentration. We also investigated the relation between learner¿s body movement, concentration, and amount of study. From the experimental results, we conclude that the use of SmartBox is an effective way to stimulate the learners in order to continue studying while maintaining the concentration.

Design and evaluation of learning algorithms for dynamic resource management in virtual networks

Network virtualisation is considerably gaining attentionas a solution to ossification of the Internet. However, thesuccess of network virtualisation will depend in part on how efficientlythe virtual networks utilise substrate network resources.In this paper, we propose a machine learning-based approachto virtual network resource management. We propose to modelthe substrate network as a decentralised system and introducea learning algorithm in each substrate node and substrate link,providing self-organization capabilities. We propose a multiagentlearning algorithm that carries out the substrate network resourcemanagement in a coordinated and decentralised way. The taskof these agents is to use evaluative feedback to learn an optimalpolicy so as to dynamically allocate network resources to virtualnodes and links. The agents ensure that while the virtual networkshave the resources they need at any given time, only the requiredresources are reserved for this purpose. Simulations show thatour dynamic approach significantly improves the virtual networkacceptance ratio and the maximum number of accepted virtualnetwork requests at any time while ensuring that virtual networkquality of service requirements such as packet drop rate andvirtual link delay are not affected.

Quality of life, happiness and satisfaction with life of individuals 75 years old or older cared for by a home health care program

This case study identifies the elements that compose the Quality of Life (QofL) of individuals who were 75 years old or older and receive care at home. The study's sample was composed of individuals 75 years or older cared for by a home health care service in the primary health care unit in Vilafranca del Penedès, Spain (n=26). The variables included: a) socio-demographic data; b) concept of QofL; c) perception of QofL; d) reasons for their perception; d) satisfaction with life and related aspects; and f) feeling of happiness. Face to face interviews were conducted. A total of 76.9% of the individuals reported a good perception of QofL and the main reasons related to it were: health, family and social relationships, and the ability to adapt. Role Theory and Disengagement Theory explain the adaptation process of these individuals at this point in life.

Quality of life, happiness and satisfaction with life of individuals 75 years old or older cared for by a home health care program

This case study identifies the elements that compose the Quality of Life (QofL) of individuals who were 75 years old or older and receive care at home. The study's sample was composed of individuals 75 years or older cared for by a home health care service in the primary health care unit in Vilafranca del Penedès, Spain (n=26). The variables included: a) socio-demographic data; b) concept of QofL; c) perception of QofL; d) reasons for their perception; d) satisfaction with life and related aspects; and f) feeling of happiness. Face to face interviews were conducted. A total of 76.9% of the individuals reported a good perception of QofL and the main reasons related to it were: health, family and social relationships, and the ability to adapt. Role Theory and Disengagement Theory explain the adaptation process of these individuals at this point in life.

Quality of life, happiness and satisfaction with life of individuals 75 years old or older cared for by a home health care program

This case study identifies the elements that compose the Quality of Life (QofL) of individuals who were 75 years old or older and receive care at home. The study's sample was composed of individuals 75 years or older cared for by a home health care service in the primary health care unit in Vilafranca del Penedès, Spain (n=26). The variables included: a) socio-demographic data; b) concept of QofL; c) perception of QofL; d) reasons for their perception; d) satisfaction with life and related aspects; and f) feeling of happiness. Face to face interviews were conducted. A total of 76.9% of the individuals reported a good perception of QofL and the main reasons related to it were: health, family and social relationships, and the ability to adapt. Role Theory and Disengagement Theory explain the adaptation process of these individuals at this point in life.

Setting priorities in clinical and health services research: Properties of an adapted and updated method

Objectives: The objectives of this study is to review the set of criteria of the Institute of Medicine (IOM) for priority-setting in research with addition of new criteria if necessary, and to develop and evaluate the reliability and validity of the final priority score. Methods: Based on the evaluation of 199 research topics, forty-five experts identified additional criteria for priority-setting, rated their relevance, and ranked and weighted them in a three-round modified Delphi technique. A final priority score was developed and evaluated. Internal consistency, test–retest and inter-rater reliability were assessed. Correlation with experts’ overall qualitative topic ratings were assessed as an approximation to validity. Results: All seven original IOM criteria were considered relevant and two new criteria were added (“potential for translation into practice”, and “need for knowledge”). Final ranks and relative weights differed from those of the original IOM criteria: “research impact on health outcomes” was considered the most important criterion (4.23), as opposed to “burden of disease” (3.92). Cronbach’s alpha (0.75) and test–retest stability (interclass correlation coefficient = 0.66) for the final set of criteria were acceptable. The area under the receiver operating characteristic curve for overall assessment of priority was 0.66. Conclusions: A reliable instrument for prioritizing topics in clinical and health services research has been developed. Further evaluation of its validity and impact on selecting research topics is required