On the application of differential geometry to MDO

Multidisciplinary Design Optimization (MDO) is a methodology for optimizing large coupled systems. Over the years, a number of different MDO decomposition strategies, known as architectures, have been developed, and various pieces of analytical work have been done on MDO and its architectures. However, MDO lacks an overarching paradigm which would unify the field and promote cumulative research. In this paper, we propose a differential geometry framework as such a paradigm: Differential geometry comes with its own set of analysis tools and a long history of use in theoretical physics. We begin by outlining some of the mathematics behind differential geometry and then translate MDO into that framework. This initial work gives new tools and techniques for studying MDO and its architectures while producing a naturally arising measure of design coupling. The framework also suggests several new areas for exploration into and analysis of MDO systems. At this point, analogies with particle dynamics and systems of differential equations look particularly promising for both the wealth of extant background theory that they have and the potential predictive and evaluative power that they hold. © 2012 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

The impact of the developmental timing of trauma exposure on PTSD symptoms and psychosocial functioning among older adults.

The present study examined the impact of the developmental timing of trauma exposure on posttraumatic stress disorder (PTSD) symptoms and psychosocial functioning in a large sample of community-dwelling older adults (N = 1,995). Specifically, we investigated whether the negative consequences of exposure to traumatic events were greater for traumas experienced during childhood, adolescence, young adulthood, midlife, or older adulthood. Each of these developmental periods is characterized by age-related changes in cognitive and social processes that may influence psychological adjustment following trauma exposure. Results revealed that older adults who experienced their currently most distressing traumatic event during childhood exhibited more severe symptoms of PTSD and lower subjective happiness compared with older adults who experienced their most distressing trauma after the transition to adulthood. Similar findings emerged for measures of social support and coping ability. The differential effects of childhood compared with later life traumas were not fully explained by differences in cumulative trauma exposure or by differences in the objective and subjective characteristics of the events. Our findings demonstrate the enduring nature of traumatic events encountered early in the life course and underscore the importance of examining the developmental context of trauma exposure in investigations of the long-term consequences of traumatic experiences.

Impact of average household income and damage exposure on post-earthquake distress and functioning: A community study following the February 2011 Christchurch earthquake.

Post-traumatic stress, depression and anxiety symptoms are common outcomes following earthquakes, and may persist for months and years. This study systematically examined the impact of neighbourhood damage exposure and average household income on psychological distress and functioning in 600 residents of Christchurch, New Zealand, 4–6 months after the fatal February, 2011 earthquake. Participants were from highly affected and relatively unaffected suburbs in low, medium and high average household income areas. The assessment battery included the Acute Stress Disorder Scale, the depression module of the Patient Health Questionnaire (PHQ-9), and the Generalized Anxiety Disorder Scale (GAD-7), along with single item measures of substance use, earthquake damage and impact, and disruptions in daily life and relationship functioning. Controlling for age, gender and social isolation, participants from low income areas were more likely to meet diagnostic cut-offs for depression and anxiety, and have more severe anxiety symptoms. Higher probabilities of acute stress, depression and anxiety diagnoses were evident in affected versus unaffected areas, and those in affected areas had more severe acute stress, depression and anxiety symptoms. An interaction between income and earthquake effect was found for depression, with those from the low and medium income affected suburbs more depressed. Those from low income areas were more likely, post-earthquake, to start psychiatric medication and increase smoking. There was a uniform increase in alcohol use across participants. Those from the low income affected suburb had greater general and relationship disruption post-quake. Average household income and damage exposure made unique contributions to earthquake-related distress and dysfunction.

Promoting self-regulated learning in technology enhanced learning environments : keeping a digital track of the learning process

Tese de doutoramento (co-tutela), Psicologia (Psicologia da Educação), Faculdade de Psicologia da Universidade de Lisboa, Faculdade de Psicologia e de Ciências da Educação da Universidade de Coimbra, Technial University of Darmstadt, 2014

Mesurer l'apport unique de l'adhésion à la culture des gangs de rue à l'explication des conduites délinquantes chez les adolescents et les hommes contrevenants

L’apport disproportionné aux taux de criminalité des membres des gangs de rue est, nul doute, une proposition empirique robuste. De nombreuses études ont conclu que l’association aux gangs de rue est un facteur de risque supplémentaire à celui que constitue déjà la fréquentation de pairs délinquants au nombre des meilleurs prédicteurs de la délinquance avec les antécédents criminels et les traits antisociaux de la personnalité. Pourtant, la contribution spécifique de l’association aux gangs de rue à l’explication de la délinquance est largement méconnue. Au nombre des variables les plus souvent citées pour l’expliquer figure néanmoins le concept de l’adhésion à la culture de gang qui n’a toutefois jamais été spécifiquement opérationnalisé. Le but de la thèse est d’étudier la contribution spécifique de l’adhésion d’un contrevenant à la culture des gangs de rue à l’explication de la délinquance. Plus précisément, elle a comme objectifs de définir la culture des gangs de rue, d’opérationnaliser l’adhésion à la culture des gangs de rue, d’examiner la fidélité de la mesure de l’adhésion à la culture de gang et d’étudier sa relation avec la nature, la variété et la fréquence des conduites délinquantes de contrevenants placés sous la responsabilité des centres jeunesse et des services correctionnels du Québec. Trois articles scientifiques, auxquels un chapitre régulier est joint, ont servi la démonstration de la thèse. D’abord, le premier article présente les démarches relatives au développement de la première Mesure de l’adhésion à la culture de gang, la MACg. Plus précisément, l’article présente la recension des écrits qui a permis de proposer une première définition de la culture de gang et d’opérationnaliser le concept. Il fait aussi état de la démarche de la validation de la pertinence de son contenu et des données préliminaires qui révèlent la très bonne cohérence interne de la MACg. Cette première étude est suivie de la présentation, dans le cadre d’un chapitre régulier, des résultats de l’examen de la cotation des principaux indicateurs de la culture de gang. Cette démarche constitue un complément nécessaire à l’examen de la validité apparente de la MACg. Les résultats révèlent des degrés de concordance très satisfaisants entre les observations de divers professionnels des centres jeunesse et des services correctionnels du Québec qui ont été invités à coter les indicateurs de la culture de gang à partir de deux histoires fictives d’un contrevenant mineur et d’un second d’âge adulte. Puis, le deuxième article présente les résultats d’un premier examen de la fidélité de la MACg à l’aide du modèle de Rasch de la Théorie de la réponse aux items. Ses résultats soutiennent l’unidimensionnalité de la MACg et sa capacité à distinguer des groupes d’items et de personnes le long d’un continuum de gravité d’adhésion à la culture de gang. Par contre, le fonctionnement différentiel et le mauvais ajustement de certains items sont observés, ainsi que l’inadéquation de la structure de réponses aux items (de type Likert) privilégiée lors de l’élaboration de la MACg. Une version réaménagée de cette dernière est donc proposée. Enfin, le troisième et dernier article présente les résultats de l’examen de la relation entre la délinquance et l’adhésion d’un contrevenant à la culture de gang telle que mesurée par la MACg. Les résultats soutiennent l’apport unique de l’adhésion d’un contrevenant à la culture de gang à la diversité et à la fréquence des conduites délinquantes auto-rapportées par des contrevenants placés sous la responsabilité des centres jeunesse et des services correctionnels du Québec. Le score à l’échelle originale et réaménagée de la MACg s’avère, d’ailleurs, un facteur explicatif plus puissant que l’âge, la précocité criminelle, les pairs délinquants et la psychopathie au nombre des meilleurs prédicteurs de la délinquance. L’étude met aussi en lumière l’étroite relation entre une forte adhésion à la culture de gang et la présence marquée de traits psychopathiques annonciatrice de problèmes particulièrement sérieux. Malgré ses limites, la thèse contribuera significativement aux développements des bases d’un nouveau modèle explicatif de l’influence de l’association aux gangs de rue sur les conduites des personnes. La MACg pourra aussi servir à l’évaluation des risques des hommes contrevenants placés sous la responsabilité du système de justice pénale et à l’amélioration de la qualité des interventions qui leur sont dédiées.

Estimation of Hidden Markov Models parameters using differential evolution

Hidden Markov Models (HMMs) have been successfully applied to different modelling and classification problems from different areas over the recent years. An important step in using HMMs is the initialisation of the parameters of the model as the subsequent learning of HMM’s parameters will be dependent on these values. This initialisation should take into account the knowledge about the addressed problem and also optimisation techniques to estimate the best initial parameters given a cost function, and consequently, to estimate the best log-likelihood. This paper proposes the initialisation of Hidden Markov Models parameters using the optimisation algorithm Differential Evolution with the aim to obtain the best log-likelihood.

Exploration vs exploitation in differential evolution

Differential Evolution (DE) is a tool for efficient optimisation, and it belongs to the class of evolutionary algorithms, which include Evolution Strategies and Genetic Algorithms. DE algorithms work well when the population covers the entire search space, and they have shown to be effective on a large range of classical optimisation problems. However, an undesirable behaviour was detected when all the members of the population are in a basin of attraction of a local optimum (local minimum or local maximum), because in this situation the population cannot escape from it. This paper proposes a modification of the standard mechanisms in DE algorithm in order to change the exploration vs. exploitation balance to improve its behaviour.

Multiplexed quantitative proteomics using differential metabolic 15N-labeling

There are several advantages of using metabolic labeling in quantitative proteomics. The early pooling of samples compared to post-labeling methods eliminates errors from different sample processing, protein extraction and enzymatic digestion. Metabolic labeling is also highly efficient and relatively inexpensive compared to commercial labeling reagents. However, methods for multiplexed quantitation in the MS-domain (or ‘non-isobaric’ methods), suffer from signal dilution at higher degrees of multiplexing, as the MS/MS signal for peptide identification is lower given the same amount of peptide loaded onto the column or injected into the mass spectrometer. This may partly be overcome by mixing the samples at non-uniform ratios, for instance by increasing the fraction of unlabeled proteins. We have developed an algorithm for arbitrary degrees of nonisobaric multiplexing for relative protein abundance measurements. We have used metabolic labeling with different levels of 15N, but the algorithm is in principle applicable to any isotope or combination of isotopes. Ion trap mass spectrometers are fast and suitable for LC-MS/MS and peptide identification. However, they cannot resolve overlapping isotopic envelopes from different peptides, which makes them less suitable for MS-based quantitation. Fourier-transform ion cyclotron resonance (FTICR) mass spectrometry is less suitable for LC-MS/MS, but provides the resolving power required to resolve overlapping isotopic envelopes. We therefore combined ion trap LC-MS/MS for peptide identification with FTICR LC-MS for quantitation using chromatographic alignment. We applied the method in a heat shock study in a plant model system (A. thaliana) and compared the results with gene expression data from similar experiments in literature.

Optimal control of nonlinear systems represented by differential algebraic equations

An iterative procedure is described for solving nonlinear optimal control problems subject to differential algebraic equations. The procedure iterates on an integrated modified simplified model based problem with parameter updating in such a manner that the correct solution of the original nonlinear problem is achieved.

Optimal control of nonlinear differential algebraic equation systems

A novel iterative procedure is described for solving nonlinear optimal control problems subject to differential algebraic equations. The procedure iterates on an integrated modified linear quadratic model based problem with parameter updating in such a manner that the correct solution of the original non-linear problem is achieved. The resulting algorithm has a particular advantage in that the solution is achieved without the need to solve the differential algebraic equations . Convergence aspects are discussed and a simulation example is described which illustrates the performance of the technique. 1. Introduction When modelling industrial processes often the resulting equations consist of coupled differential and algebraic equations (DAEs). In many situations these equations are nonlinear and cannot readily be directly reduced to ordinary differential equations.

Two-Item Sentence Comprehension by a Dog (Canis familiaris)

Syntax use by non-human animals remains a controversial issue. We present here evidence that a dog may respond to verbal requests composed of two independent terms, one referring to an object and the other to an action to be performed relative to the object. A female mongrel dog, Sofia, was initially trained to respond to action (point and fetch) and object (ball, key, stick, bottle and bear) terms which were then presented as simultaneous, combinatorial requests (e. g. ball fetch, stick point). Sofia successfully responded to object-action requests presented as single sentences, and was able to flexibly generalize her performance across different contexts. These results provide empirical evidence that dogs are able to extract the information contained in complex messages and to integrate it in directed performance, an ability which is shared with other linguistically trained animals and may represent a forerunner of syntactic functioning.

The Differential Usage of Services by Impaired Elderly

Why do some clients use institutional services, while other, with comparable impairment, use community based services? To answer this question, a matching procedure paired clients from the two types of service provision. Sixty-six clients, ages 62 and over, were matched for functional ability as rated on a 6-item ADL scale (Katz, et al., 1970). A discriminant function analysis was performed, with the setting of service provision as the criterion variable. The results indicated that the institutional group was more likely than their community counterparts: (a) to have had previous service contact with other service providers; (b) to have less support available within the community setting from family members or friends; (c) to be more impaired in the areas of mental health and social resources.

Language and executive functioning: Children’s benefit from induced verbal strategies in different tasks

The interplay of language and cognition in children’s development has been subject to research for a long time. The present study followed up on recently reported deleterious effects of articulatory suppression on children’s executive functioning (Fatzer & Roebers, 2012), aiming to provide more empirical evidence on the differential influence of language on executive functioning. In the present study, verbal strategies were induced in three executive functioning tasks. The tasks were linked to the three central executive functioning dimensions of updating (Complex Span task), shifting (Cognitive Flexibility task) and inhibition (Flanker task). It was expected that the effects of the verbal strategy instruction would counter the results of articulatory suppression and thus be strong in the Complex Span task, weak but present in the Cognitive Flexibility task and small or nonexistent in the Flanker task. N = 117 children participated in the study, with n = 39 four-year-olds, n = 38 six-year-olds, and n = 40 nine-year-olds. As expected, results revealed a benefit from induced verbal strategies in the Complex Span and the Cognitive Flexibility task, but not in the Flanker task. The positive effect of strategy instruction declined with increasing age, pointing to more frequent spontaneous and self-initiated use of verbal strategies over the course of development. The effect of strategy instruction in the Cognitive Flexibility task was unexpectedly strong in the light of the only small detrimental effect of articulatory suppression in the preceding study. Implications for language’s involvement in the different executive functioning dimensions and for practice are discussed.

Differential effect of p47phox and gp91phox deficiency on the course of Pneumococcal Meningitis.

Bacterial meningitis is a severe inflammatory disease of the central nervous system and is characterized by massive infiltration of granulocytes into the cerebrospinal fluid (CSF). To assess the role of NADPH oxidase-derived reactive oxygen species (ROS) in pneumococcal meningitis, mice deficient in either the gp91 subunit (essential for functioning of the phagocyte enzyme) or the p47 subunit (essential for functioning of homologous enzymes in nonphagocytic cells) were intracisternally infected with live Streptococcus pneumoniae, and defined disease parameters were measured during the acute stage of infection. While none of the parameters measured (including CSF bacterial titers) were significantly different in gp91(-/-) and wild-type mice, the infection in p47(-/-) mice was associated with significantly increased inflammation of the subarachnoid and ventricular space, disruption of the blood-brain barrier, and the presence of interleukin-1 beta, tumor necrosis factor alpha, and matrix metalloproteinase 9 in the cortex. These changes were associated with approximately 10-fold-higher CSF bacterial titers in p47(-/-) mice than in wild-type mice (P < 0.001). In contrast to infection with live bacteria, the inflammatory response, including CSF leukocytosis, was significantly attenuated in p47(-/-) mice (but not gp91(-/-) mice) challenged with a fixed number of heat-inactivated pneumococci. Impairment of the host defense appeared to be responsible for the higher bacterial titers in p47(-/-) mice. Therefore, these results indicate that ROS generated by a gp91-independent NADPH oxidase(s) are important for establishing an adequate inflammatory response to pneumococcal CSF infection.