Student modeling based on fuzzy inference mechanisms

The paper presents a competence-based instructional design system and a way to provide a personalization of navigation in the course content. The navigation aid tool builds on the competence graph and the student model, which includes the elements of uncertainty in the assessment of students. An individualized navigation graph is constructed for each student, suggesting the competences the student is more prepared to study. We use fuzzy set theory for dealing with uncertainty. The marks of the assessment tests are transformed into linguistic terms and used for assigning values to linguistic variables. For each competence, the level of difficulty and the level of knowing its prerequisites are calculated based on the assessment marks. Using these linguistic variables and approximate reasoning (fuzzy IF-THEN rules), a crisp category is assigned to each competence regarding its level of recommendation.

Personal and household care giving for adult children to parents and social stratification

Using SHARE database the paper explores the factors conditioning personalcare giving from adult children to their parents. Frequency and intensity ofpersonal care is contrasted with the reciprocal expectations that children haveabout wealth inheritance from their parents and with the opportunity costs of helping, as well as with the capacity of parents of getting help from othersources of personal care. The results may help to understand how inequalitiesin accessing to formal services relate with intergenerational solidarity.

Computerunterstützte Rigiditätsmessung zur Differenzierung psychopathologischer Gruppen [Computer-assisted determination of rigidity in the differentiation of psychopathologic groups]

The measurement of rigidity and perseveration respectively gets increasing importance in clinical psychodiagnostics. Recently we have developed a computer-assisted technique which allows to get information about inadequate persisting in psychic processes and behaviour within shortest time and to differentiate between psychopathological groups. 257 patients of both sexes who came for elucidation of their disorders to the department of clinical psychodiagnostics were investigated. The most significant differences between the groups were found in redundance of second degree (the patient has to press 10 buttons indiscriminately according to the beat of a metronom--standard condition) and in personal speed (the patient has to press 10 buttons as fast as possible--speed condition). Furthermore the psychopathological groups were ranged in the particular variables of rigidity according to their mean values and their average ranges the schizophrenics and effective psychoses were characterized by a high tendency of perseveration while the neurotics, patients with organic brain syndrome and alcohol and drug dependents showed more flexibility.

La Fuga de capital humà : una sortida sense retorn

Cert és que l’economia actual està sent transformada per la globalització, la integració econòmica i un increment en l’ús de les noves tecnologies. Una de les conseqüències d’aquest fenòmen és que la força de treball formada està adquirint cada vegada més mobilitat entre països industrialitzats. És precisament aquest el subjecte d’estudi del treball: la fuga de capital humà en el sector de la recerca i el desenvolupament. El nostre treball fa un recorregut per variables com la despesa en R+D, atur en el sector, personal que es dedica a investigació, entre altres. L’objectiu de les quals és arribar a extreure un rànquing de països emissors i receptors de capital humà a nivell europeu. No hem pogut obviar estudiar com ha estat l’evolució de la inversió espanyola a nivell públic i privat. Hem trobat interessant també, afegir el cas d’Estats Units, donat que és el país receptor per excel·lència.Per tenir-ne una visió més directe hem realitzat un pla d’enquestes a estudiants dedoctorats i màsters de la nostra universitat, per tal de veure, entre altres coses, si vertaderament la fuga de capital humà és una sortida sense retorn.

Conocimiento de la ley y preparación del personal sanitario sobre el proceso asistencial de la muerte

Este estudio apunta a conocer la percepción que los profesionales de la salud (médicos, enfermeras y auxiliares de enfermería) tienen acerca de su preparación en el cuidado de los enfermos terminales y determinar sus conocimientos sobre la legislación de cuidados paliativos. Se ha realizado un estudio transversal, en un hospital de Granada (España), mediante la aplicación de un cuestionario ad hoc. Los resultados muestran que la mayoría del personal ha trabajado con pacientes en el final de su vida, pero sólo la mitad cree tener la formación adecuada para cuidarlos. Una parte considerable dice no conocer la legislación actual en cuidados paliativos. La mayoría de los profesionales plantearía la retirada de terapias para el mantenimiento de la vida y desconocen el mecanismo para informar sobre la cumplimentación del Testamento Vital, como indica el Plan de Cuidados Paliativos de Andalucía (España).

Asessing public policies. The case of education in Europe and the interaction between personal and institutional factors

The paper deals with the comparative study of European citizens' satisfaction with the state of education in their respective countries. Individual and contextual effects are tested applying multilevel analysis. The results show that educational public policies (level of decentralization, degree of comprehensiveness and public spending) as well as the students' social environment (socioeconomic and cultural status) have a sound impact on the opinions about the state of education.

Health risk behavior pattern among students from Cartagena, Colombia: prevalence and associated variables

The aim of the study was to determine the prevalence and variables associated with the pattern of risky health behavior (PRHB) among adolescent students in Cartagena, Colombia. A cross-sectional study was designed to investigate PRHB in a random cluster sample of students from middle and high schools. The associations were adjusted by logistic regression. A total of 2,625 students participated in this research, with ages from 10 to 20 years, mean=13.8 years (SD=2.0), and 54.3% were women. A total of 332 students reported PRHB (12.7%, 95%CI 11.4–14.0). Age over 15 years (OR=2.19, 95%CI 1.72–2.79), not being heterosexual (OR=1.98, 95%CI 1.36-2.87), poor/mediocre academic performance (OR=1.87, 95%CI 1.47–2.38), family dysfunction (OR=1.78, 95%CI 1.40–2.28) and male gender (OR=1.58, 95%CI 1.24–2.01) were associated with PRHB. One in every eight students presented a PRHB. It is important to pay greater attention to students who are over 15 years of age, male, not heterosexual, with a poor/mediocre academic performance and a dysfunctional family.

Analysis of variables that are not directly observable: influence on decision-making during the research process

The sample dimension, types of variables, format used for measurement, and construction of instruments to collect valid and reliable data must be considered during the research process. In the social and health sciences, and more specifically in nursing, data-collection instruments are usually composed of latent variables or variables that cannot be directly observed. Such facts emphasize the importance of deciding how to measure study variables (using an ordinal scale or a Likert or Likert-type scale). Psychometric scales are examples of instruments that are affected by the type of variables that comprise them, which could cause problems with measurement and statistical analysis (parametric tests versus non-parametric tests). Hence, investigators using these variables must rely on suppositions based on simulation studies or recommendations based on scientific evidence in order to make the best decisions.

Weak and Strong Altruism in Trait Groups: Reproductive Suicide, Personal Fitness, and Expected Value

A simple variant of trait group selection, employing predators as the mechanism underlying group selection, supports contingent reproductive suicide as altruism (i.e., behavior lowering personal fitness while augmenting that of another) without kin assortment. The contingent suicidal type may either saturate the population or be polymorphic with a type avoiding suicide, depending on parameters. In addition to contingent suicide, this randomly assorting morph may also exhibit continuously expressed strong altruism (sensu Wilson 1979) usually thought restricted to kin selection. The model will not, however, support a sterile worker caste as such, where sterility occurs before life history events associated with effective altruism; reproductive suicide must remain fundamentally contingent (facultative sensu West Eberhard 1987; Myles 1988) under random assortment. The continuously expressed strong altruism supported by the model may be reinterpreted as probability of arbitrarily committing reproductive suicide, without benefit for another; such arbitrary suicide (a "load" on "adaptive" suicide) is viable only under a more restricted parameter space relative to the necessarily concomitant adaptive contingent suicide.

Consumer Satisfaction with Websites of Banks - The Moderating Effect of Consumer Technology Attractiveness

The websites are becoming the firms’ first contact interface with their clients. Hence, understanding customers’ online attitudes and behaviors have been capturing increased research attention. The extant research has pointed customers’ satisfaction with the websites as the main reason for customers’ online behaviors. This research has used mostly variables related to the characteristics of the websites as the predictors of customers’ website satisfaction. However, recent research shows that groups of individuals displaying distinctive characteristics react differently to the same context. Therefore, behavior may be considerably different among groups of customers. In this study, we develop a conceptual model of the influence of individual characteristics on the traditional website quality – website satisfaction relationship. We propose a model based on the construct of consumer technology attractiveness (CTA) to represent the genuine positive propensity of individuals toward technology. We further test the moderating effect of this construct on the commonly used predictors of customer’s website satisfaction using Hierarchical Multiple Regression. The empirical study was based on websites of banks operating in Portuguese market. The commercial banking industry is one of the Portuguese industries that better uses the Internet to establish relationships with clients. Data were collected through an online website satisfaction survey, participated by the lecturers and postgraduate students from four Portuguese Universities and Polytechnic Institutes. Our final sample comprised 276 valid questionnaires. Our study permits to conclude that the most commonly used antecedents of website overall satisfaction are still relevant for analyzing consumer’s satisfaction with the banks websites. We also conclude that CTA has a significant moderating effect on almost all customers’ website satisfaction variables used in the study. This study contributes to highlight the theoretical importance and significant influence of consumers’ personal characteristics on their online behavior. Moreover, for the practitioners, a better understanding of these individual characteristics will assist them in developing customized websites that will meet customers’ expectations. O estudo dos comportamentos dos consumidores em ambientes online tem vindo a ter um crescente interesse, uma vez que os websites estão a transformar-se num importante ponto de contacto entre as empresas e os seus clientes. A satisfação dos clientes com os websites tem sido apontada pela Literatura como o principal condicionante dos comportamentos online dos consumidores. No entanto, a investigação científica tem conseguido provar que grupos de indivíduos com características distintas reagem de forma diferente quando submetidos a contextos idênticos, o que poderá levar a diferenças significativas no comportamento online de consumidores pertencentes a diferentes grupos. Neste estudo desenvolvemos um modelo conceptual que reflecte a influência de características individuais na relação entre a qualidade e a satisfação com os websites. Propomos um modelo assente na atractividade tecnológica do consumidor (CTA), que representa a propensão genuína que os indivíduos possuem em relação à tecnologia. Testamos o efeito moderador deste conceito sobre as variáveis mais utilizadas nos estudos sobre a satisfação dos consumidores com os websites, utilizando a Regressão Múltipla Hierárquica. O estudo empírico baseou-se nos websites dos bancos que operam no mercado português, uma vez que este sector é um dos que melhor utiliza a Internet na sua relação com os clientes. Os dados foram recolhidos através de um questionário sobre satisfação com os websites, colocado online e dirigido a docentes e estudantes de programas de pós-graduações, mestrados e doutoramentos de quatro universidades e instituto politécnico portugueses, tendo resultado numa amostra final de 276 questionários validados estatisticamente. Este estudo permitiu concluir que as variáveis que são mais utilizadas como antecedentes da satisfação dos consumidores com os websites, continuam a ser igualmente válidas para a análise dos websites dos bancos. Também concluímos que a CTA tem efeitos moderadores significativos na grande maioria das variáveis utilizadas neste estudo. Assim, conseguimos realçar a importância teórica das características pessoais dos consumidores no seu comportamento online. Para os gestores, uma melhor compreensão destas características individuais permitir-lhes-á desenvolver websites customizados que irão satisfazer as expectativas dos seus clientes.

Biotic and abiotic variables show little redundancy in explaining tree species distributions

Abiotic factors such as climate and soil determine the species fundamental niche, which is further constrained by biotic interactions such as interspecific competition. To parameterize this realized niche, species distribution models (SDMs) most often relate species occurrence data to abiotic variables, but few SDM studies include biotic predictors to help explain species distributions. Therefore, most predictions of species distributions under future climates assume implicitly that biotic interactions remain constant or exert only minor influence on large-scale spatial distributions, which is also largely expected for species with high competitive ability. We examined the extent to which variance explained by SDMs can be attributed to abiotic or biotic predictors and how this depends on species traits. We fit generalized linear models for 11 common tree species in Switzerland using three different sets of predictor variables: biotic, abiotic, and the combination of both sets. We used variance partitioning to estimate the proportion of the variance explained by biotic and abiotic predictors, jointly and independently. Inclusion of biotic predictors improved the SDMs substantially. The joint contribution of biotic and abiotic predictors to explained deviance was relatively small (similar to 9%) compared to the contribution of each predictor set individually (similar to 20% each), indicating that the additional information on the realized niche brought by adding other species as predictors was largely independent of the abiotic (topo-climatic) predictors. The influence of biotic predictors was relatively high for species preferably growing under low disturbance and low abiotic stress, species with long seed dispersal distances, species with high shade tolerance as juveniles and adults, and species that occur frequently and are dominant across the landscape. The influence of biotic variables on SDM performance indicates that community composition and other local biotic factors or abiotic processes not included in the abiotic predictors strongly influence prediction of species distributions. Improved prediction of species' potential distributions in future climates and communities may assist strategies for sustainable forest management.

Adherence to nutritional recommendations and sociodemographic variables in patients with diabetes mellitus

OBJECTIVETo determine if there is a relationship between adherence to nutritional recommendations and sociodemographic variables in Brazilian patients with type 2 diabetes mellitus.METHODSCross-sectional observational study using a stratified random sample of 423 individuals. The Food Frequency Questionnaire (FFQ) was used, and the Fisher's exact test was applied with 95% confidence interval (p<0.05).RESULTSOf the 423 subjects, 66.7% were women, mean age of 62.4 years (SD = 11.8), 4.3 years of schooling on average (SD = 3.6) and family income of less than two minimum wages. There was association between the female gender and adherence to diet with adequate cholesterol content (OR: 2.03; CI: 1.23; 3.34), between four and more years of education and adherence to fractionation of meals (OR: 1 92 CI: 1.19; 3.10), and income of less than two minimum wages and adherence to diet with adequate cholesterol content (OR: 1.74; CI: 1.03, 2.95).CONCLUSIONAdherence to nutritional recommendations was associated with the female gender, more than four years of education and family income of less than two minimum wages.

Fusion of data sets in multivariate linear regression with errors-in-variables

We consider the application of normal theory methods to the estimation and testing of a general type of multivariate regressionmodels with errors--in--variables, in the case where various data setsare merged into a single analysis and the observable variables deviatepossibly from normality. The various samples to be merged can differ on the set of observable variables available. We show that there is a convenient way to parameterize the model so that, despite the possiblenon--normality of the data, normal--theory methods yield correct inferencesfor the parameters of interest and for the goodness--of--fit test. Thetheory described encompasses both the functional and structural modelcases, and can be implemented using standard software for structuralequations models, such as LISREL, EQS, LISCOMP, among others. An illustration with Monte Carlo data is presented.