83 resultados para Models of Knowledge Management
Resumo:
Recent literature evidences differential associations of personal and general just-world beliefs with constructs in the interpersonal domain. In line with this research, we examine the respective relationships of each just-world belief with the Five-Factor and the HEXACO models of personality in one representative sample of the working population of Switzerland and one sample of the general US population, respectively. One suppressor effect was observed in both samples: Neuroticism and emotionality was positively associated with general just-world belief, but only after controlling for personal just-world belief. In addition, agreeableness was positively and honesty-humility negatively associated with general just-world belief but unrelated to personal just-world belief. Conscientiousness was consistently unrelated to any of the just-world belief and extraversion and openness to experience revealed unstable coefficients across studies. We discuss these points in light of just-world theory and their implications for future research taking both dimensions into account.
Resumo:
OBJECTIVE: To investigate whether better management of chronic conditions by family practices reduces mortality risk. DATA: Two random samples of 5 million patients registered with over 8,000 English family practices followed up for 4 years (2004/5-2007/8). Measures of the quality of disease management for 10 conditions were constructed for each family practice for each year. The outcome measure was an indicator taking the value 1 if the patient died during a specified year, 0 otherwise. STUDY DESIGN: Cross-section and multilevel panel data multiple logistic regressions were estimated. Covariates included age, gender, morbidity, hospitalizations, attributed socio-economic characteristics, and local health care supply measures. PRINCIPAL FINDINGS: Although a composite measure of the quality of disease management for all 10 conditions was significantly associated with lower mortality, only the quality of stroke care was significant when all 10 quality measures were entered in the regression. CONCLUSIONS: The panel data results suggest that a 1 percent improvement in the quality of stroke care could reduce the annual number of deaths in England by 782 [95 percent CI: 423, 1140]. A longer study period may be necessary to detect any mortality impact of better management of other conditions.
Resumo:
Biotic interactions are known to affect the composition of species assemblages via several mechanisms, such as competition and facilitation. However, most spatial models of species richness do not explicitly consider inter-specific interactions. Here, we test whether incorporating biotic interactions into high-resolution models alters predictions of species richness as hypothesised. We included key biotic variables (cover of three dominant arctic-alpine plant species) into two methodologically divergent species richness modelling frameworks - stacked species distribution models (SSDM) and macroecological models (MEM) - for three ecologically and evolutionary distinct taxonomic groups (vascular plants, bryophytes and lichens). Predictions from models including biotic interactions were compared to the predictions of models based on climatic and abiotic data only. Including plant-plant interactions consistently and significantly lowered bias in species richness predictions and increased predictive power for independent evaluation data when compared to the conventional climatic and abiotic data based models. Improvements in predictions were constant irrespective of the modelling framework or taxonomic group used. The global biodiversity crisis necessitates accurate predictions of how changes in biotic and abiotic conditions will potentially affect species richness patterns. Here, we demonstrate that models of the spatial distribution of species richness can be improved by incorporating biotic interactions, and thus that these key predictor factors must be accounted for in biodiversity forecasts
Resumo:
In my thesis, I defend the idea that Aristotle's notion of phronêsis (practical wisdom) is best understood as a kind of practical knowledge. I interpret phronêsis as the knowledge we display when we make the correct decision to act. In a particular situation that demands a specific response, we have practical knowledge of what to do when we make the best decision possible. This interpretation of phronêsis involves that it is possible to evaluate our decisions epistemically, that is, to evaluate whether we really know what to do or not. Aristotle provides a tool for the evaluation of our decisions, which is a definite kind of argument and which the tradition has called the 'practical syllogism'. The practical syllogism stands as the explanation of our decisions or actions. We invoke it when we want to explain or justify why we act as we do. My claim is that the components of the practical syllogism enable one to evaluate not only the moral character of our actions, but also the epistemic strength of our decisions. Correspondingly, a decision is morally right, i.e. virtuous, if the agent considers the right moral principle to apply, and if he is aware of the relevant circumstances of the situation (moral evaluation). Moreover, a decision displays practical knowledge if the agent meets three conditions (epistemic evaluation): he must desire the moral principle for its own sake; he must have experience in spotting the relevant circumstances of the situation; and he must be able to closely connect these circumstances with the moral principle. This interpretation of phronêsis differs from other more traditional interpretations in the emphasis it puts on phronêsis as knowledge. Other interpretations focus more on the moral dimension on phronêsis, without taking its epistemic value seriously. By contrast, I raise seriously the question of what it takes to genuinely know what one should do in a particular situation. -- Dans ma thèse, je défends l'idée que la notion aristotélicienne de phronêsis (sagesse pratique) doit être interprétée comme connaissance pratique. Je comprends la phronêsis comme étant la connaissance que nous avons lorsque nous prenons une bonne décision. Dans une situation particulière qui demande une réponse précise, nous avons une connaissance pratique lorsque nous prenons la meilleure décision possible. Cette interprétation de la phronêsis implique qu'il est possible d'évaluer nos décisions de manière épistémique, c'est-à-dire, d'évaluer si nous savons vraiment ce qu'il faut faire ou non. Ma position est qu'Aristote fournit un outil pour évaluer épistémiquement nos décisions, qui consiste en un certain type d'argument et que la tradition a appelé le 'syllogisme pratique'. Le syllogisme pratique correspond à l'explication de nos décisions ou de nos actions. Nous invoquons un syllogisme pratique lorsque nous voulons expliquer ou justifier pourquoi nous agissons comme nous le faisons. Les éléments du syllogisme pratique permettent d'évaluer non seulement le caractère moral de nos actions, mais aussi la force épistémique de nos décisions. Par conséquent, une décision est moralement correcte, i.e. vertueuse, si l'agent considère le bon principe moral, et s'il est attentif aux circonstances pertinentes de la situation (évaluation morale). En outre, une décision inclut la connaissance pratique si l'agent remplit trois conditions (évaluation épistémique) : il doit désirer le principe moral pour lui-même, il doit avoir de l'expérience pour déceler les circonstances pertinentes, et il doit pouvoir lier intimement ces circonstances avec le principe moral. Cette interprétation de la phronêsis diffère d'autres interprétations plus traditionnelles par l'emphase mise sur la phronêsis en tant que connaissance. D'autres interprétations se concentrent plus sur la dimension morale de la phronêsis, sans se préoccuper sérieusement de sa valeur épistémique. Au contraire, je pose sérieusement la question des conditions nécessaires pour réellement savoir ce qu'il faut faire dans une situation donnée.
Resumo:
The human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cognitive function. The generative rules that shape the topology of the human connectome remain incompletely understood. Earlier work in model organisms has suggested that wiring rules based on geometric relationships (distance) can account for many but likely not all topological features. Here we systematically explore a family of generative models of the human connectome that yield synthetic networks designed according to different wiring rules combining geometric and a broad range of topological factors. We find that a combination of geometric constraints with a homophilic attachment mechanism can create synthetic networks that closely match many topological characteristics of individual human connectomes, including features that were not included in the optimization of the generative model itself. We use these models to investigate a lifespan dataset and show that, with age, the model parameters undergo progressive changes, suggesting a rebalancing of the generative factors underlying the connectome across the lifespan.
Resumo:
In vivo (1)H MR spectroscopy allows the non invasive characterization of brain metabolites and it has been used for studying brain metabolic changes in a wide range of neurodegenerative diseases. The prion diseases form a group of fatal neurodegenerative diseases, also described as transmissible spongiform encephalopathies. The mechanism by which prions elicit brain damage remains unclear and therefore different transgenic mouse models of prion disease were created. We performed an in vivo longitudinal (1)H MR spectroscopy study at 14.1 T with the aim to measure the neurochemical profile of Prnp -/- and PrPΔ32-121 mice in the hippocampus and cerebellum. Using high-field MR spectroscopy we were able to analyze in details the in vivo brain metabolites in Prnp -/- and PrPΔ32-121 mice. An increase of myo-inositol, glutamate and lactate concentrations with a decrease of N-acetylaspartate concentrations were observed providing additional information to the previous measurements.
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The 16p11.2 600 kb BP4-BP5 deletion and duplication syndromes have been associated with developmental delay; autism spectrum disorders; and reciprocal effects on the body mass index, head circumference and brain volumes. Here, we explored these relationships using novel engineered mouse models carrying a deletion (Del/+) or a duplication (Dup/+) of the Sult1a1-Spn region homologous to the human 16p11.2 BP4-BP5 locus. On a C57BL/6N inbred genetic background, Del/+ mice exhibited reduced weight and impaired adipogenesis, hyperactivity, repetitive behaviors, and recognition memory deficits. In contrast, Dup/+ mice showed largely opposite phenotypes. On a F1 C57BL/6N × C3B hybrid genetic background, we also observed alterations in social interaction in the Del/+ and the Dup/+ animals, with other robust phenotypes affecting recognition memory and weight. To explore the dosage effect of the 16p11.2 genes on metabolism, Del/+ and Dup/+ models were challenged with high fat and high sugar diet, which revealed opposite energy imbalance. Transcriptomic analysis revealed that the majority of the genes located in the Sult1a1-Spn region were sensitive to dosage with a major effect on several pathways associated with neurocognitive and metabolic phenotypes. Whereas the behavioral consequence of the 16p11 region genetic dosage was similar in mice and humans with activity and memory alterations, the metabolic defects were opposite: adult Del/+ mice are lean in comparison to the human obese phenotype and the Dup/+ mice are overweight in comparison to the human underweight phenotype. Together, these data indicate that the dosage imbalance at the 16p11.2 locus perturbs the expression of modifiers outside the CNV that can modulate the penetrance, expressivity and direction of effects in both humans and mice.