Verhaltens- und fertigkeitenbasierte Frühinterventionen bei Kindern mit Autismus

Einleitung: Zu den autistischen Syndromen werden der frühkindliche Autismus (Kanner-Syndrom), das Asperger-Syndrom und atypische Autismusformen oder nicht-spezifizierte tiefgreifende Entwicklungsstörungen gezählt. Bei den autistischen Syndromen liegen Beeinträchtigungen (1) der Kommunikation und (2) der sozialen Interaktion vor. Weiterhin weisen (3) die Kinder in unterschiedlichem Maß stereotypes, repetitives Verhalten auf und haben bestimmte Sonderinteressen. Verhaltensbasierte Frühinterventionen bei Kindern mit Autismus basieren auf lerntheoretischen und verhaltenstherapeutischen Konzepten. Sie berücksichtigen die besonderen vorliegenden Beeinträchtigungen in der Wahrnehmung, der emotionalen Reaktionen, der sozialen Interaktionen sowie der Kommunikationsmuster. Die systematische Anwendung und Evaluation solcher Modelle in Deutschland ist aber bisher eher die Ausnahme. Fragestellungen: - Wie sind die gesundheitliche Effektivität und Sicherheit von verhaltens- oder fertigkeitenbasierten Frühinterventionen bei autistischen Syndromen untereinander und verglichen mit einer Standardbehandlung? - Gibt es Hinweise auf besondere Wirkfaktoren für die Effektivität? - Wie ist die Kosten-Effektivität? - Wie hoch sind die Kosten der verschiedenen Interventionen? - Lassen sich aus ethischen und rechtlichen Überlegungen Schlüsse für die Anwendung der betrachteten Interventionen bei Betroffenen mit autistischem Syndrom in der Praxis ziehen? Methoden: Basierend auf einer systematischen Literaturrecherche werden ab 2000 in deutscher oder englischer Sprache veröffentlichte kontrollierte Studien zu verhaltens- oder fertigkeitenbasierten Frühinterventionen bei Kindern mit Autismus im Alter von bis zu zwölf Jahren eingeschlossen und bewertet. Die Mindestzahl an Studienteilnehmern muss zehn pro Interventionsgruppe betragen. Ergebnisse: Insgesamt 15 Veröffentlichungen klinischer Primärstudien, acht systematische Reviews und eine ökonomische Veröffentlichung erfüllen die Einschlusskriterien. Die meisten Studien evaluieren intensive Frühinterventionen, die sich an das Modell von Lovaas (Early intensive behavioural treatment (EIBT), Applied behavioural analysis (ABA)) anlehnen. Einige Studien evaluieren andere Interventionen, die teilweise pragmatisch waren und teilweise einem bestimmten Modell folgen (spezifisches Elterntraining, Responsive education and prelinguistic milieu teaching (RPMT), Joint attention (JA) und symbolisches Spielen (SP), Picture exchange communication system (PECS)). Verhaltensanalytische Interventionen basierend auf dem Lovaas-Modell können weiterhin als die am besten empirisch abgesicherten Frühinterventionen angesehen werden. Vorschulkinder mit Autismus können durch verhaltensbasierte Interventionen mit einer Mindestintensität von 20 Stunden pro Woche Verbesserungen in kognitiven und funktionalen Bereichen (expressive Sprache, Sprachverständnis und Kommunikation) erreichen. Es bleibt jedoch unklar, welche Mindestintensität notwendig ist, und welche Wirkkomponenten für die Ergebnisse verantwortlich sind. Für andere umfassende Frühinterventionen bei Kindern mit Autismus liegt keine hochwertige Evidenz vor. Die für den ökonomischen Teilbereich identifizierte und einbezogene Publikation ist methodisch und thematisch nicht dazu geeignet, die Fragen nach der Kosten-Effektivität oder den Kostenwirkungen von Frühinterventionen beim Autismus auch nur ansatzweise zu beantworten. Publikationen zu rechtlichen, ethischen oder sozialen Aspekten werden nicht identifiziert. Die finanzielle Lage der Betroffenen und der Familien wird durch das Pflege-Weiterentwicklungsgesetz (Pf-WG) verbessert. Weitere rechtliche Belange betreffen die Betreuung und die Deliktfähigkeit der Menschen mit Autismus. Auch die gleichheitliche Betreuung und Versorgung sind insbesondere vor dem Hintergrund der Pflege im häuslichen Umfeld eine wichtige Frage. Diskussion: Es gibt nur wenige methodisch angemessene Studien zur Beurteilung der Wirksamkeit von Frühinterventionen bei Kindern mit Autismus. Die meisten Studien sind vergleichsweise kurz und haben teilsweise kein verblindetes Ergebnis-Rating. Der Mangel an hochwertigen vergleichenden Studien lässt keine solide Antwort auf die Frage zu, welche Frühintervention bei welchen Kindern mit Autismus am wirksamsten ist. Programme nach dem Lovaas-Modell scheinen am wirkungsvollsten zu sein. Dies gilt vor allem, wenn sie klinikbasiert durchgeführt werden. Zu einzelnen Wirkfaktoren von Frühinterventionen nach dem ABA-Modell konnte allerdings keine solide Evidenz gefunden werden. Es zeigte sich, dass ein Elterntraining hinsichtlich der Verbesserung der Kommunikation besser ist als eine Routinebehandlung, in der eine Mischung von Theapieelementen angewendet wird. Sowohl für die klinischen als auch die gesundheitsökonomischen Studien besteht das Problem unzureichender Verallgemeinerbarkeit der Studienergebnisse in den deutschen Versorgungskontext. Die ökonomischen Studien sind methodisch und thematisch nicht dazu geeignet die aufgeworfenen Fragestellungen zu beantworten. Schlussfolgerung: Basierend auf der derzeitigen Studienlage liegt für keine der untersuchten verhaltensbasierten Frühinterventionen bei Kindern mit Autismus ausreichende Evidenz vor. Die in diesem Bericht ausgewerteten Studien und Reviews legen nahe, dass Vorschulkinder mit Autismus durch verhaltensbasierte Interventionen mit einer Mindestintensität von 20 Stunden pro Woche Verbesserungen in kognitiven und funktionalen Bereichen erreichen können. Es gibt bisher keine Hinweise, dass bei einem substantiellen Anteil der Kinder eine vollständige Normalisierung der Entwicklung erreicht werden kann. Die meiste Evidenz liegt für die ABA vor. Ein Minimum an erforderlicher oder sinnvoller Behandlungsintensität kann jedoch nicht angegeben werden. Eine professionelle Umsetzung eines verhaltensbasierten Frühinterventionsprogrammes in engem und ausführlichem Kontakt mit den Kindern und unter Einbeziehung der Eltern erscheint sinnvoll. Zur Kosten-Effektivität von intensiven Frühinterventionen bei Kindern mit Autismus können keine validen Angaben gemacht werden. Effektive Frühinterventionen könnten jedoch die Gesamtkosten des Autismus langfristig reduzieren, indem die anfallenden hohen Aufwendungen durch eine spätere bessere soziale Anpassung überkompensiert werden.

'Explicit Learning: an Effort towards Human Scheduling Algorithms'

Abstract Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approaches are problem-specific and research into the development of a general scheduling algorithm is still in its infancy. Mimicking the natural evolutionary process of the survival of the fittest, Genetic Algorithms (GAs) have attracted much attention in solving difficult scheduling problems in recent years. Some obstacles exist when using GAs: there is no canonical mechanism to deal with constraints, which are commonly met in most real-world scheduling problems, and small changes to a solution are difficult. To overcome both difficulties, indirect approaches have been presented (in [1] and [2]) for nurse scheduling and driver scheduling, where GAs are used by mapping the solution space, and separate decoding routines then build solutions to the original problem. In our previous indirect GAs, learning is implicit and is restricted to the efficient adjustment of weights for a set of rules that are used to construct schedules. The major limitation of those approaches is that they learn in a non-human way: like most existing construction algorithms, once the best weight combination is found, the rules used in the construction process are fixed at each iteration. However, normally a long sequence of moves is needed to construct a schedule and using fixed rules at each move is thus unreasonable and not coherent with human learning processes. When a human scheduler is working, he normally builds a schedule step by step following a set of rules. After much practice, the scheduler gradually masters the knowledge of which solution parts go well with others. He can identify good parts and is aware of the solution quality even if the scheduling process is not completed yet, thus having the ability to finish a schedule by using flexible, rather than fixed, rules. In this research we intend to design more human-like scheduling algorithms, by using ideas derived from Bayesian Optimization Algorithms (BOA) and Learning Classifier Systems (LCS) to implement explicit learning from past solutions. BOA can be applied to learn to identify good partial solutions and to complete them by building a Bayesian network of the joint distribution of solutions [3]. A Bayesian network is a directed acyclic graph with each node corresponding to one variable, and each variable corresponding to individual rule by which a schedule will be constructed step by step. The conditional probabilities are computed according to an initial set of promising solutions. Subsequently, each new instance for each node is generated by using the corresponding conditional probabilities, until values for all nodes have been generated. Another set of rule strings will be generated in this way, some of which will replace previous strings based on fitness selection. If stopping conditions are not met, the Bayesian network is updated again using the current set of good rule strings. The algorithm thereby tries to explicitly identify and mix promising building blocks. It should be noted that for most scheduling problems the structure of the network model is known and all the variables are fully observed. In this case, the goal of learning is to find the rule values that maximize the likelihood of the training data. Thus learning can amount to 'counting' in the case of multinomial distributions. In the LCS approach, each rule has its strength showing its current usefulness in the system, and this strength is constantly assessed [4]. To implement sophisticated learning based on previous solutions, an improved LCS-based algorithm is designed, which consists of the following three steps. The initialization step is to assign each rule at each stage a constant initial strength. Then rules are selected by using the Roulette Wheel strategy. The next step is to reinforce the strengths of the rules used in the previous solution, keeping the strength of unused rules unchanged. The selection step is to select fitter rules for the next generation. It is envisaged that the LCS part of the algorithm will be used as a hill climber to the BOA algorithm. This is exciting and ambitious research, which might provide the stepping-stone for a new class of scheduling algorithms. Data sets from nurse scheduling and mall problems will be used as test-beds. It is envisaged that once the concept has been proven successful, it will be implemented into general scheduling algorithms. It is also hoped that this research will give some preliminary answers about how to include human-like learning into scheduling algorithms and may therefore be of interest to researchers and practitioners in areas of scheduling and evolutionary computation. References 1. Aickelin, U. and Dowsland, K. (2003) 'Indirect Genetic Algorithm for a Nurse Scheduling Problem', Computer & Operational Research (in print). 2. Li, J. and Kwan, R.S.K. (2003), 'Fuzzy Genetic Algorithm for Driver Scheduling', European Journal of Operational Research 147(2): 334-344. 3. Pelikan, M., Goldberg, D. and Cantu-Paz, E. (1999) 'BOA: The Bayesian Optimization Algorithm', IlliGAL Report No 99003, University of Illinois. 4. Wilson, S. (1994) 'ZCS: A Zeroth-level Classifier System', Evolutionary Computation 2(1), pp 1-18.

A single theoretical framework for circular features processing in humans: orientation and direction of motion compared

Common computational principles underlie processing of various visual features in the cortex. They are considered to create similar patterns of contextual modulations in behavioral studies for different features as orientation and direction of motion. Here, I studied the possibility that a single theoretical framework, implemented in different visual areas, of circular feature coding and processing could explain these similarities in observations. Stimuli were created that allowed direct comparison of the contextual effects on orientation and motion direction with two different psychophysical probes: changes in weak and strong signal perception. One unique simplified theoretical model of circular feature coding including only inhibitory interactions, and decoding through standard vector average, successfully predicted the similarities in the two domains, while different feature population characteristics explained well the differences in modulation on both experimental probes. These results demonstrate how a single computational principle underlies processing of various features across the cortices.

NETCODE: an XOR-based warning dissemination scheme for vehicular wireless networks

The next generation of vehicles will be equipped with automated Accident Warning Systems (AWSs) capable of warning neighbouring vehicles about hazards that might lead to accidents. The key enabling technology for these systems is the Vehicular Ad-hoc Networks (VANET) but the dynamics of such networks make the crucial timely delivery of warning messages challenging. While most previously attempted implementations have used broadcast-based data dissemination schemes, these do not cope well as data traffic load or network density increases. This problem of sending warning messages in a timely manner is addressed by employing a network coding technique in this thesis. The proposed NETwork COded DissEmination (NETCODE) is a VANET-based AWS responsible for generating and sending warnings to the vehicles on the road. NETCODE offers an XOR-based data dissemination scheme that sends multiple warning in a single transmission and therefore, reduces the total number of transmissions required to send the same number of warnings that broadcast schemes send. Hence, it reduces contention and collisions in the network improving the delivery time of the warnings. The first part of this research (Chapters 3 and 4) asserts that in order to build a warning system, it is needful to ascertain the system requirements, information to be exchanged, and protocols best suited for communication between vehicles. Therefore, a study of these factors along with a review of existing proposals identifying their strength and weakness is carried out. Then an analysis of existing broadcast-based warning is conducted which concludes that although this is the most straightforward scheme, loading can result an effective collapse, resulting in unacceptably long transmission delays. The second part of this research (Chapter 5) proposes the NETCODE design, including the main contribution of this thesis, a pair of encoding and decoding algorithms that makes the use of an XOR-based technique to reduce transmission overheads and thus allows warnings to get delivered in time. The final part of this research (Chapters 6--8) evaluates the performance of the proposed scheme as to how it reduces the number of transmissions in the network in response to growing data traffic load and network density and investigates its capacity to detect potential accidents. The evaluations use a custom-built simulator to model real-world scenarios such as city areas, junctions, roundabouts, motorways and so on. The study shows that the reduction in the number of transmissions helps reduce competition in the network significantly and this allows vehicles to deliver warning messages more rapidly to their neighbours. It also examines the relative performance of NETCODE when handling both sudden event-driven and longer-term periodic messages in diverse scenarios under stress caused by increasing numbers of vehicles and transmissions per vehicle. This work confirms the thesis' primary contention that XOR-based network coding provides a potential solution on which a more efficient AWS data dissemination scheme can be built.

Evidências de validade e propriedades psicométricas do SON-R 6-40

Dissertação (mestrado)—Universidade de Brasília, Instituto de Psicologia, 2016.

Collaboration in 3D virtual worlds : a protocol for case study research

Three-dimensional virtual worlds have been growing fast in number of users, and are used for the most diverse purposes. In collaboration, they are used with good results due to features such as immersion, interaction capabilities, use of avatar embodiment, and physical space. In the particular cases of avatar embodiment and physical space, these features support nonverbal communication, but its impact on collaboration is not well known. In this work we present a protocol for case study research and its creation process, which aims to assert itself as a tool to collect data on how nonverbal communication influences collaboration in three-dimensional virtual worlds. We define the propositions and units of analysis, and a pilot case to validate them. Then, two cases are analysed under the created protocol. Most of the propositions found chains of evidences supporting them.

Motion compensation with minimal residue dispersion matching criteria

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnoloigia, 2016.

Error analyses reveal contrasting deficits in “theory of mind”: neuropsychological evidence from a 3-option false belief task

Perspective taking is a crucial ability that guides our social interactions. In this study, we show how the specific patterns of errors of brain-damaged patients in perspective taking tasks can help us further understand the factors contributing to perspective taking abilities. Previous work (e.g., Samson, Apperly, Chiavarino, & Humphreys, 2004; Samson, Apperly, Kathirgamanathan, & Humphreys, 2005) distinguished two components of perspective taking: the ability to inhibit our own perspective and the ability to infer someone else’s perspective. We assessed these components using a new nonverbal false belief task which provided different response options to detect three types of response strategies that participants might be using: a complete and spared belief reasoning strategy, a reality-based response selection strategy in which participants respond from their own perspective, and a simplified mentalising strategy in which participants avoid responding from their own perspective but rely on inaccurate cues to infer the other person’s belief. One patient, with a self-perspective inhibition deficit, almost always used the reality-based response strategy; in contrast, the other patient, with a deficit in taking other perspectives, tended to use the simplified mentalising strategy without necessarily transposing her own perspective. We discuss the extent to which the pattern of performance of both patients could relate to their executive function deficit and how it can inform us on the cognitive and neural components involved in belief reasoning.

Alternate Conformations Regulate Ribosomal Recoding in a Positive-sense RNA Virus

Positive-sense RNA viruses are important animal, plant, insect and bacteria pathogens and constitute the largest group of RNA viruses. Due to the relatively small size of their genomes, these viruses have evolved a variety of non-canonical translation mechanisms to optimize coding capacity expanding their proteome diversity. One such strategy is codon redefinition or recoding. First described in viruses, recoding is a programmed translation event in which codon alterations are context dependent. Recoding takes place in a subset of messenger RNA (mRNAs) with some products reflecting new, and some reflecting standard, meanings. The ratio between the two is both critical and highly regulated. While a variety of recoding mechanisms have been documented, (ribosome shunting, stop-carry on, termination-reinitiation, and translational bypassing), the two most extensively employed by RNA viruses are Programmed Ribosomal Frameshifting (PRF) and Programmed Ribosomal Readthrough (PRT). While both PRT and PRF subvert normal decoding for expression of C-terminal extension products, the former involves an alteration of reading frame, and the latter requires decoding of a non-sense codon. Both processes occur at a low but defined frequency, and both require Recoding Stimulatory Elements (RSE) for regulation and optimum functionality. These stimulatory signals can be embedded in the RNA in the form of sequence or secondary structure, or trans-acting factors outside the mRNA such as proteins or micro RNAs (miRNA). Despite 40+ years of study, the precise mechanisms by which viral RSE mediate ribosome recoding for the synthesis of their proteins, or how the ratio of these products is maintained, is poorly defined. This study reveals that in addition to a long distance RNA:RNA interaction, three alternate conformations and a phylogenetically conserved pseudoknot regulate PRT in the carmovirus Turnip crinkle virus (TCV).

Testosterone and attention deficits as possible mechanisms underlying impaired emotion recognition in intimate partner violence perpetrators

Several studies have reported impairments in decoding emotional facial expressions in intimate partner violence (IPV) perpetrators. However, the mechanisms that underlie these impaired skills are not well known. Given this gap in the literature, we aimed to establish whether IPV perpetrators (n = 18) differ in their emotion decoding process, attentional skills, and testosterone (T), cortisol (C) levels and T/C ratio in comparison with controls (n = 20), and also to examine the moderating role of the group and hormonal parameters in the relationship between attention skills and the emotion decoding process. Our results demonstrated that IPV perpetrators showed poorer emotion recognition and higher attention switching costs than controls. Nonetheless, they did not differ in attention to detail and hormonal parameters. Finally, the slope predicting emotion recognition from deficits in attention switching became steeper as T levels increased, especially in IPV perpetrators, although the basal C and T/C ratios were unrelated to emotion recognition and attention deficits for both groups. These findings contribute to a better understanding of the mechanisms underlying emotion recognition deficits. These factors therefore constitute the target for future interventions.

Une étude sur les déterminants biologiques, psychologiques et du travail de l'épuisement professionnel

Cette thèse de doctorat s’intéresse à mieux comprendre, d’une part, ce qui influence la sécrétion de cortisol salivaire, et d’autre part, ce qui influence l’épuisement professionnel. Plusieurs objectifs en découlent. D’abord, elle vise à mieux cerner la contribution des conditions de l’organisation du travail (utilisation des compétences, autorité décisionnelle, demandes psychologiques, demandes physiques, horaire de travail irrégulier, nombre d’heures travaillées, soutien social des collègues, soutien social des superviseurs, insécurité d’emploi) sur la sécrétion de cortisol salivaire, ainsi que le rôle modérateur de certains traits de personnalité (extraversion, agréabilité, névrosisme, conscience, ouverture d’esprit, estime de soi, centre de contrôle) sur la relation entre les conditions de l’organisation du travail et la sécrétion de cortisol salivaire. Par ailleurs, cette thèse vise à établir la contribution des conditions de l’organisation du travail sur l’épuisement professionnel, ainsi que le rôle modérateur des traits de personnalité sur la relation entre les conditions de l’organisation du travail et l’épuisement professionnel. Finalement, cette thèse vise à vérifier si la sécrétion de cortisol salivaire joue un rôle médiateur sur la relation entre les conditions de l’organisation du travail et l’épuisement professionnel, ainsi qu’à identifier les effets de médiation modérés par les traits de personnalité sur la relation entre les conditions de l’organisation du travail et la sécrétion de cortisol salivaire. Ces objectifs sont inspirés de nombreuses limites observées dans la littérature, principalement l’intégration de déterminants à la fois biologiques, psychologiques et du travail dans la compréhension de l’épuisement professionnel. La thèse propose un modèle conceptuel qui tente de savoir comment ces différents stresseurs entraînent une dérégulation de la sécrétion de cortisol dans la salive des travailleurs. Ensuite, ce modèle conceptuel vise à voir si cette dérégulation s’associe à l’épuisement professionnel. Finalement, ce modèle conceptuel cherche à expliquer comment la personnalité peut influencer la manière dont ces variables sont reliées entre elles, c’est-à-dire de voir si la personnalité joue un rôle modérateur. Ce modèle découle de quatre théories particulières, notamment la perspective biologique de Selye (1936). Les travaux de Selye s’orientent sur l’étude de la réaction physiologique d’un organisme soumis à un stresseur. Dans ces circonstances, l’organisme est en perpétuel effort de maintien de son équilibre (homéostasie) et ne tolère que très peu de modifications à cet équilibre. En cas de modifications excessives, une réponse de stress est activée afin d’assurer l’adaptation en maintenant l’équilibre de base de l’organisme. Ensuite, le modèle conceptuel s’appuie sur le modèle de Lazarus et Folkman (1984) qui postule que la réponse de stress dépend plutôt de l’évaluation que font les individus de la situation stressante, et également sur le modèle de Pearlin (1999) qui postule que les individus exposés aux mêmes stresseurs ne sont pas nécessairement affectés de la même manière. Finalement, le modèle conceptuel de cette thèse s’appuie sur le modèle de Marchand (2004) qui postule que les réactions dépendent du décodage que font les acteurs des contraintes et ressources qui les affectent. Diverses hypothèses émergent de cette conceptualisation théorique. La première est que les conditions de l’organisation du travail contribuent directement aux variations de la sécrétion de cortisol salivaire. La deuxième est que les conditions de l’organisation du travail contribuent directement à l’épuisement professionnel. La troisième est que la sécrétion de cortisol salivaire médiatise la relation entre les conditions de l’organisation du travail et l’épuisement professionnel. La quatrième est que la relation entre les conditions de l’organisation du travail et la sécrétion de cortisol salivaire est modérée par les traits de personnalité. La cinquième est que la relation entre les conditions de l’organisation du travail, la sécrétion de cortisol salivaire et l’épuisement professionnel est modérée par les traits de personnalité. Des modèles de régression multiniveaux et des analyses de cheminement de causalité ont été effectués sur un échantillon de travailleurs canadiens provenant de l’étude SALVEO. Les résultats obtenus sont présentés sous forme de trois articles, soumis pour publication, lesquels constituent les chapitres 4 à 6 de cette thèse. Dans l’ensemble, le modèle intégrateur biopsychosocial proposé dans le cadre de cette thèse de doctorat permet de mieux saisir la complexité de l’épuisement professionnel qui trouve une explication biologique, organisationnelle et individuelle. Ce constat permet d’offrir une compréhension élargie et multiniveaux et assure l’avancement des connaissances sur une problématique préoccupante pour les organisations, la société ainsi que pour les travailleurs. Effectivement, la prise en compte des traits de personnalité et de la sécrétion du cortisol salivaire dans l’étude de l’épuisement professionnel assure une analyse intégrée et plus objective. Cette thèse conclue sur les implications de ces résultats pour la recherche, et sur les retombées qui en découlent pour les milieux de travail.

Self-ordered pointing as a test of working memory in typically developing children

The self-ordered pointing test (SOPT; Petrides & Milner, 1982) is a test of non-spatial executive working memory requiring the ability to generate and monitor a sequence of responses. Although used with developmental clinical populations there are few normative data against which to compare atypical performance. Typically developing children (5!11 years) and young adults performed two versions of the SOPT, one using pictures of familiar objects and the other hard-to-verbalise abstract designs. Performance improved with age but the children did not reach adult levels of performance. Participants of all ages found the object condition easier than the abstract condition, suggesting that verbal processes are utilised by the SOPT. However, performance on the task was largely independent from verbal and nonverbal cognitive ability. Overall the results suggest that the SOPT is a sensitive measure of executive working memory.

Comunicação não verbal e estilo instrucional em treinadores de futebol

Dissertação de Mestrado apresentada ao Instituto Superior de Psicologia Aplicada para obtenção de grau de Mestre na especialidade de Psicologia Social e das Organizações.

Projeto InOut Expat

O Projeto InOut Expat foi desenvolvido para apoiar e ajudar os expatriados em fase de mudança para um país estrangeiro, através de uma plataforma eletrónica que oferece os serviços de uma secretária virtual para auxiliar em situações burocráticas e/ou pessoais. Oferece também, formação intercultural focada em cultura/costumes, etiqueta e linguagem não-verbal. O website tem informações gratuitas de todos os países do mundo como, o custo de vida, a língua oficial, o PIB, a capital, a bandeira que são informações facilmente encontradas num motor de busca na internet. Também apresenta links e publicações com noticias, ofertas de emprego e entrevistas a expatriados. Os expatriados envolvidos no projeto estão felizes pela decisão que tomaram em mudar de país, mas a maioria sentiu tristeza, insegurança, choque e outros sentimentos negativos na adaptação ao país de destino, a InOut Expat pretende colmatar estes sentimentos. O projeto está a cumprir o que promete desde fase embrionária. É sem dúvida uma ferramenta útil para quem opta por emigrar ou imigrar, principalmente no auxilio de uma secretária virtual para procurar casa ou trabalho.

CATARINA 2012-Leg 1 - CTD-O2 Data report

The CATARINA Leg1 cruise was carried out from June 22 to July 24 2012 on board the B/O Sarmiento de Gamboa, under the scientific supervision of Aida Rios (CSIC-IIM). It included the occurrence of the OVIDE hydrological section that was performed in June 2002, 2004, 2006, 2008 and 2010, as part of the CLIVAR program (name A25) ), and under the supervision of Herlé Mercier (CNRSLPO). This section begins near Lisbon (Portugal), runs through the West European Basin and the Iceland Basin, crosses the Reykjanes Ridge (300 miles north of Charlie-Gibbs Fracture Zone, and ends at Cape Hoppe (southeast tip of Greenland). The objective of this repeated hydrological section is to monitor the variability of water mass properties and main current transports in the basin, complementing the international observation array relevant for climate studies. In addition, the Labrador Sea was partly sampled (stations 101-108) between Greenland and Newfoundland, but heavy weather conditions prevented the achievement of the section south of 53°40’N. The quality of CTD data is essential to reach the first objective of the CATARINA project, i.e. to quantify the Meridional Overturning Circulation and water mass ventilation changes and their effect on the changes in the anthropogenic carbon ocean uptake and storage capacity. The CATARINA project was mainly funded by the Spanish Ministry of Sciences and Innovation and co-funded by the Fondo Europeo de Desarrollo Regional. The hydrological OVIDE section includes 95 surface-bottom stations from coast to coast, collecting profiles of temperature, salinity, oxygen and currents, spaced by 2 to 25 Nm depending on the steepness of the topography. The position of the stations closely follows that of OVIDE 2002. In addition, 8 stations were carried out in the Labrador Sea. From the 24 bottles closed at various depth at each stations, samples of sea water are used for salinity and oxygen calibration, and for measurements of biogeochemical components that are not reported here. The data were acquired with a Seabird CTD (SBE911+) and an SBE43 for the dissolved oxygen, belonging to the Spanish UTM group. The software SBE data processing was used after decoding and cleaning the raw data. Then, the LPO matlab toolbox was used to calibrate and bin the data as it was done for the previous OVIDE cruises, using on the one hand pre and post-cruise calibration results for the pressure and temperature sensors (done at Ifremer) and on the other hand the water samples of the 24 bottles of the rosette at each station for the salinity and dissolved oxygen data. A final accuracy of 0.002°C, 0.002 psu and 0.04 ml/l (2.3 umol/kg) was obtained on final profiles of temperature, salinity and dissolved oxygen, compatible with international requirements issued from the WOCE program.