攻击性、情绪调节评价对青少年攻击行为的作用

The aggressive behavior and the violent crime of the Adolenscents have aroused social widespread attention. The Social Implicit Cognition Method could overcome the insufficiency of explicit research methods such as Self-Report Scale, and carry on the thorough discussion to the intrinsic mechanism of the Adolenscent’s aggressive behavior. In this research, Implicit Association Test and Explicit Questionnaire are synthetically applied to inspect the relations among the aggression, Evaluation of Emotion Regulation and the aggressive behavior of the normal middle-school students and the Adolenscent violent criminals under the explicit and implicit conditions, and have carried the supplement to the internal condition of the General aggression model (GAM). The result indicates, 1. The concept of implicit aggression exists independently and separates from explicit aggression. However the relations between implicit aggression and the groups are remarkable, i.e. both the implicit and explicit aggressions of the Adolenscent violent criminals are remarkably higher than those of the normal middle-school students, but not influenced by sex factors. 2. Implicit Evaluation of Emotion Regulation is suitable to Chinese Adolenscents. The correlation of groups and sex factors exist to Implicit Evaluation of Emotion Regulation, i.e. in the group of criminals, the female inclines to the mood control compared with the male in the aspect of Implicit Evaluation of Emotion Regulation; however, in the group of normal persons, the difference between male and female is not remarkable in the aspect of Implicit Evaluation of Emotion Regulation. 3. Under the explicit conditions, it is discovered that the remarkable explicit aggression can predict violent criminals. But it is adjusted by Explicit Evaluation of Emotion Regulation, i.e. the predicting function is not remarkable when the Explicit Evaluation inclines to expression. Meanwhile, when checking the functions and the effects of the implicit variables after the explicit conditions are under control, it is discovered that the predicting function of implicit aggression is still remarkable, and the predicting function of Implicit Evaluation of Emotion Regulation is remarkable at the edge and also adjusted by sex factors. These findings help us not only understanding thoroughly the intrinsic mechanism of the Adolenscent’s aggressive behavior, discovering the moderating role of Evaluation of Emotion Regulation on aggression, but also providing an academic foundation on the prevention and intervention of the Adolenscent’s aggressive behavior.

Inclusive education policy, the general allocation model and dilemmas of practice in primary schools

Background: Inclusive education is central to contemporary discourse internationally reflecting societies’ wider commitment to social inclusion. Education has witnessed transforming approaches that have created differing distributions of power, resource allocation and accountability. Multiple actors are being forced to consider changes to how key services and supports are organised. This research constitutes a case study situated within this broader social service dilemma of how to distribute finite resources equitably to meet individual need, while advancing inclusion. It focuses on the national directive with regard to inclusive educational practice for primary schools, Department of Education and Science Special Education Circular 02/05, which introduced the General Allocation Model (GAM) within the legislative context of the Education of Persons with Special Educational Needs (EPSEN) Act (Government of Ireland, 2004). This research could help to inform policy with ‘facts about what is happening on the ground’ (Quinn, 2013). Research Aims: The research set out to unearth the assumptions and definitions embedded within the policy document, to analyse how those who are at the coalface of policy, and who interface with multiple interests in primary schools, understand the GAM and respond to it, and to investigate its effects on students and their education. It examines student outcomes in the primary schools where the GAM was investigated. Methods and Sample The post-structural study acknowledges the importance of policy analysis which explicitly links the ‘bigger worlds’ of global and national policy contexts to the ‘smaller worlds’ of policies and practices within schools and classrooms. This study insists upon taking the detail seriously (Ozga, 1990). A mixed methods approach to data collection and analysis is applied. In order to secure the perspectives of key stakeholders, semi-structured interviews were conducted with primary school principals, class teachers and learning support/resource teachers (n=14) in three distinct mainstream, non-DEIS schools. Data from the schools and their environs provided a profile of students. The researcher then used the Pobal Maps Facility (available at www.pobal.ie) to identify the Small Area (SA) in which each student resides, and to assign values to each address based on the Pobal HP Deprivation Index (Haase and Pratschke, 2012). Analysis of the datasets, guided by the conceptual framework of the policy cycle (Ball, 1994), revealed a number of significant themes. Results: Data illustrate that the main model to support student need is withdrawal from the classroom under policy that espouses inclusion. Quantitative data, in particular, highlighted an association between segregated practice and lower socioeconomic status (LSES) backgrounds of students. Up to 83% of the students in special education programmes are from lower socio-economic status (LSES) backgrounds. In some schools 94% of students from LSES backgrounds are withdrawn from classrooms daily for special education. While the internal processes of schooling are not solely to blame for class inequalities, this study reveals the power of professionals to order children in school, which has implications for segregated special education practice. Such agency on the part of key actors in the context of practice relates to ‘local constructions of dis/ability’, which is influenced by teacher habitus (Bourdieu, 1984). The researcher contends that inclusive education has not resulted in positive outcomes for students from LSES backgrounds because it is built on faulty assumptions that focus on a psycho-medical perspective of dis/ability, that is, placement decisions do not consider the intersectionality of dis/ability with class or culture. This study argues that the student need for support is better understood as ‘home/school discontinuity’ not ‘disability’. Moreover, the study unearths the power of some parents to use social and cultural capital to ensure eligibility to enhanced resources. Therefore, a hierarchical system has developed in mainstream schools as a result of funding models to support need in inclusive settings. Furthermore, all schools in the study are ‘ordinary’ schools yet participants acknowledged that some schools are more ‘advantaged’, which may suggest that ‘ordinary’ schools serve to ‘bury class’ (Reay, 2010) as a key marker in allocating resources. The research suggests that general allocation models of funding to meet the needs of students demands a systematic approach grounded in reallocating funds from where they have less benefit to where they have more. The calculation of the composite Haase Value in respect of the student cohort in receipt of special education support adopted for this study could be usefully applied at a national level to ensure that the greatest level of support is targeted at greatest need. Conclusion: In summary, the study reveals that existing structures constrain and enable agents, whose interactions produce intended and unintended consequences. The study suggests that policy should be viewed as a continuous and evolving cycle (Ball, 1994) where actors in each of the social contexts have a shared responsibility in the evolution of education that is equitable, excellent and inclusive.

Drivers of euphausiid species abundance and numerical abundance in the Atlantic Ocean

Mid-ocean ridges are common features of the world’s oceans but there is a lack of understanding as to how their presence affects overlying pelagic biota. The Mid-Atlantic Ridge (MAR) is a dominant feature of the Atlantic Ocean. Here, we examined data on euphausiid distribution and abundance arising from several international research programmes and from the continuous plankton recorder. We used a generalized additive model (GAM) framework to explore spatial patterns of variability in euphausiid distribution on, and at either side of, the MAR from 60°N to 55°S in conjunction with variability in a suite of biological, physical and environmental parameters. Euphausiid species abundance peaked in mid-latitudes and was significantly higher on the ridge than in adjacent waters, but the ridge did not influence numerical abundance significantly. Sea surface temperature (SST) was the most important single factor influencing both euphausiid numerical abundance and species abundance. Increases in sea surface height variance, a proxy for mixing, increased the numerical abundance of euphausiids. GAM predictions of variability in species abundance as a function of SST and depth of the mixed layer were consistent with present theories, which suggest that pelagic niche availability is related to the thermal structure of the near surface water: more deeply-mixed water contained higher euphausiid biodiversity. In addition to exposing present distributional patterns, the GAM framework enables responses to potential future and past environmental variability including temperature change to be explored.

Seasonal plankton dynamics along a cross-shelf gradient off northern Spain

The development of population models able to reproduce the dynamics of zooplankton is a central issue when trying to understand how a changing environment would affect zooplankton in the future. Using 10 years of monthly data on phytoplankton and zooplankton abundance in the Bay of Biscay from the IEO's RADIALES time-series programme, we built non-parametric Generalized Additive Models (GAMs) able to reproduce the dynamics of plankton on the basis of environmental factors (nutrients, temperature, upwelling and photoperiod). We found that the interaction between these two plankton components is approximately linear, whereas the effects of environmental factors are non-linear. With the inclusion of the environmental variability, the main seasonal and inter-annual dynamic patterns observed within the studied plankton assemblage indicate the prevalence of bottom-up regulatory control. The statistically deduced models were used to simulate the dynamics of the phytoplankton and zooplankton. A good agreement between observations and simulations was obtained, especially for zooplankton. We are presently developing spatio-temporal GAM models for the North Sea based on the Continuous Plankton Recorder database.

Quantifying the impact of environmental variables upon catch-per-unit-effort of the Blue Shark Prionace glauca in the Western English Channel

The effect of environmental variables on blue shark Prionace glauca catch per unit effort (CPUE) in a recreational fishery in the western English Channel, between June and September 1998–2011, was quantified using generalized additive models (GAMs). Sea surface temperature (SST) explained 1·4% of GAM deviance, and highest CPUE occurred at 16·7° C, reflecting the optimal thermal preferences of this species. Surface chlorophyll a concentration (CHL) significantly affected CPUE and caused 27·5% of GAM deviance. Additionally, increasing CHL led to rising CPUE, probably due to higher productivity supporting greater prey biomass. The density of shelf-sea tidal mixing fronts explained 5% of GAM deviance, but was non-significant, with increasing front density negatively affecting CPUE. Time-lagged frontal density significantly affected CPUE, however, causing 12·6% of the deviance in a second GAM and displayed a positive correlation. This outcome suggested a delay between the evolution of frontal features and the subsequent accumulation of productivity and attraction of higher trophic level predators, such as P. glauca.

Quantifying the impact of environmental variables upon catch-per-unit-effort of the Blue Shark Prionace glauca in the Western English Channel

The effect of environmental variables on blue shark Prionace glauca catch per unit effort (CPUE) in a recreational fishery in the western English Channel, between June and September 1998–2011, was quantified using generalized additive models (GAMs). Sea surface temperature (SST) explained 1·4% of GAM deviance, and highest CPUE occurred at 16·7° C, reflecting the optimal thermal preferences of this species. Surface chlorophyll a concentration (CHL) significantly affected CPUE and caused 27·5% of GAM deviance. Additionally, increasing CHL led to rising CPUE, probably due to higher productivity supporting greater prey biomass. The density of shelf-sea tidal mixing fronts explained 5% of GAM deviance, but was non-significant, with increasing front density negatively affecting CPUE. Time-lagged frontal density significantly affected CPUE, however, causing 12·6% of the deviance in a second GAM and displayed a positive correlation. This outcome suggested a delay between the evolution of frontal features and the subsequent accumulation of productivity and attraction of higher trophic level predators, such as P. glauca.

Identifying predictable foraging habitats for a wide-ranging marine predator using ensemble ecological niche models

Aim: Ecological niche modelling can provide valuable insight into species' environmental preferences and aid the identification of key habitats for populations of conservation concern. Here, we integrate biologging, satellite remote-sensing and ensemble ecological niche models (EENMs) to identify predictable foraging habitats for a globally important population of the grey-headed albatross (GHA) Thalassarche chrysostoma. Location: Bird Island, South Georgia; Southern Atlantic Ocean. Methods: GPS and geolocation-immersion loggers were used to track at-sea movements and activity patterns of GHA over two breeding seasons (n = 55; brood-guard). Immersion frequency (landings per 10-min interval) was used to define foraging events. EENM combining Generalized Additive Models (GAM), MaxEnt, Random Forest (RF) and Boosted Regression Trees (BRT) identified the biophysical conditions characterizing the locations of foraging events, using time-matched oceanographic predictors (Sea Surface Temperature, SST; chlorophyll a, chl-a; thermal front frequency, TFreq; depth). Model performance was assessed through iterative cross-validation and extrapolative performance through cross-validation among years. Results: Predictable foraging habitats identified by EENM spanned neritic (<500 m), shelf break and oceanic waters, coinciding with a set of persistent biophysical conditions characterized by particular thermal ranges (3–8 °C, 12–13 °C), elevated primary productivity (chl-a > 0.5 mg m−3) and frequent manifestation of mesoscale thermal fronts. Our results confirm previous indications that GHA exploit enhanced foraging opportunities associated with frontal systems and objectively identify the APFZ as a region of high foraging habitat suitability. Moreover, at the spatial and temporal scales investigated here, the performance of multi-model ensembles was superior to that of single-algorithm models, and cross-validation among years indicated reasonable extrapolative performance. Main conclusions: EENM techniques are useful for integrating the predictions of several single-algorithm models, reducing potential bias and increasing confidence in predictions. Our analysis highlights the value of EENM for use with movement data in identifying at-sea habitats of wide-ranging marine predators, with clear implications for conservation and management.

Identifying predictable foraging habitats for a wide-ranging marine predator using ensemble ecological niche models

Aim: Ecological niche modelling can provide valuable insight into species' environmental preferences and aid the identification of key habitats for populations of conservation concern. Here, we integrate biologging, satellite remote-sensing and ensemble ecological niche models (EENMs) to identify predictable foraging habitats for a globally important population of the grey-headed albatross (GHA) Thalassarche chrysostoma. Location: Bird Island, South Georgia; Southern Atlantic Ocean. Methods: GPS and geolocation-immersion loggers were used to track at-sea movements and activity patterns of GHA over two breeding seasons (n = 55; brood-guard). Immersion frequency (landings per 10-min interval) was used to define foraging events. EENM combining Generalized Additive Models (GAM), MaxEnt, Random Forest (RF) and Boosted Regression Trees (BRT) identified the biophysical conditions characterizing the locations of foraging events, using time-matched oceanographic predictors (Sea Surface Temperature, SST; chlorophyll a, chl-a; thermal front frequency, TFreq; depth). Model performance was assessed through iterative cross-validation and extrapolative performance through cross-validation among years. Results: Predictable foraging habitats identified by EENM spanned neritic (<500 m), shelf break and oceanic waters, coinciding with a set of persistent biophysical conditions characterized by particular thermal ranges (3–8 °C, 12–13 °C), elevated primary productivity (chl-a > 0.5 mg m−3) and frequent manifestation of mesoscale thermal fronts. Our results confirm previous indications that GHA exploit enhanced foraging opportunities associated with frontal systems and objectively identify the APFZ as a region of high foraging habitat suitability. Moreover, at the spatial and temporal scales investigated here, the performance of multi-model ensembles was superior to that of single-algorithm models, and cross-validation among years indicated reasonable extrapolative performance. Main conclusions: EENM techniques are useful for integrating the predictions of several single-algorithm models, reducing potential bias and increasing confidence in predictions. Our analysis highlights the value of EENM for use with movement data in identifying at-sea habitats of wide-ranging marine predators, with clear implications for conservation and management.

Estudo da influência de factores abióticos na pesca com palangre costeiro

Dissertação de Mestrado, Aquacultura e Pescas, Faculdade de Ciências do Mar e do Ambiente, Universidade do Algarve, 2008

Polimorfismos nos exões 2 e 3 da O6 - alquilguanina DNA alquiltransferase em populações pacientes e não pacientes do foro oncológico

Dissertação mest., Biotecnologia, Universidade do Algarve, 2010

Ecology of the early life-history stages of shad Alosa fallax fallax (Lacépède, 1803) in the River Mira, with a note on Alosa spp. larvae in the River Guadiana

Tese dout., Ecologia, Universidade do Algarve, 2006

O impacto da experiência de estágio no desenvolvimento vocacional de alunos dos cursos tecnològicos e profissionais do ensino secundário

Tese de dout., Psicologia (Psicologia da Educação), Faculdade de Ciências Humanas e Sociais, Univ. do Algarve, 2011

Assessment of reserve effect in a marine protected area: the case study of the Professor Luiz Saldanha Marine Park (Portugal)

Dissertação de mest., Biologia Marinha (Ecologia e Conservação Marinhas), Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2011

A Afiliação enquanto Vetor Estratégico para os Espaços Culturais. O caso dos Grupos dos Amigos dos Museus

A presente dissertação tem como objetivo analisar em que medida os grupos dos amigos dos museus podem ser um vetor estratégico para os museus. O espaço museológico encontra-se em profunda transformação e tem hoje novos desafios. Em muitos casos, os museus descobrem nas associações de afiliação cultural a possibilidade de revitalização. O presente trabalho dirige a sua atenção para os grupos dos amigos dos museus (GAM), pois torna-se essencial potenciar uma estrutura que deve ser considerada um vetor estratégico para o museu – um pivô indispensável para os museus conseguirem dar resposta às expectativas e necessidades do público e dos stakeholders. Os grupos de amigos têm hoje novos desafios: às tarefas tradicionais de angariação de novas peças para os acervos, do restauro de obras ou da angariação de fundos e mecenas, junta-se a difícil tarefa de atrair público, que é cada vez mais diversificado. A afiliação cultural pode assim ter um papel fundamental na democratização do acesso à cultura por vários grupos do tecido social. Para tal, desenvolvemos um enquadramento teórico sobre o papel do associativismo, a fim de perceber qual o seu impacto na vida cultural das pessoas, e a importância da comunicação estratégica podem ter no contexto museológico. Apesar de os museus utilizarem cada vez mais as ferramentas das relações públicas e do marketing, esta adoção revela-se complexa e morosa para a generalidade dos museus. No desenvolvimento da nossa dissertação, compreendemos que há uma nova área de atuação por parte dos grupos de amigos, quer ao nível do networking, quer ao nível da responsabilidade social uma vez que estes podem tornar o museu mais inclusivo, mais integrador e mais influente. Para tal, é fundamental que estes grupos sejam ativados de modo a que possam adaptar-se às mudanças já sentidas pelos museus. Fizemos uma correlação entre a necessidade de atualização e as oportunidades que delas podem surgir. Na última parte da dissertação elaborámos um estudo sobre o Grupo de Amigos do Museu de Arte Antiga, cuja história acompanha a evolução da museologia em Portugal. Este estudo pretende demonstrar a importância que o grupo tem na vida do museu e de que modo a adoção destas novas medidas podem permitir a sustentabilidade do museu e do grupo.

Intervenants sociaux et médication psychiatrique : pratiques et accueil réservé à la Gestion autonome de la médication en santé mentale

La recherche en santé mentale reconnaît plusieurs habiletés aux travailleurs sociaux. Cependant, lorsqu’il est question de médication, élément central du plan de traitement en santé mentale, on constate que l’on attribue surtout aux travailleurs sociaux le rôle de veiller à l’observance de ce traitement. Pourtant, la recherche scientifique montre que prendre des médicaments est une expérience complexe et comporte des impacts psychosociaux. Pour les intervenants sociaux, ce contexte constitue une opportunité d’explorer avec les personnes qu’ils accompagnent, les différentes facettes de cette expérience. Cette opportunité n’est pas seulement remarquée par les professionnels mais aussi par des voix de la marge, celles de personnes qui ont vécu un problème de santé mentale et qui ont vu la médication entrer dans leur vie. C’est à partir de cette perspective que l’approche de la Gestion autonome de la médication (GAM) a été élaborée et permet de considérer les dimensions expérientielles et psychosociales de la prise de médicaments. La GAM propose, par des pratiques d’accompagnement individuel ou de groupe, de soutenir l’usager pour qu’il puisse porter un regard critique sur sa médication, s’assurer que celle-ci soit bien au service de sa qualité de vie et apporter des changements en conséquence. Cette étude réalisée auprès de 19 intervenants sociaux ayant participé à une formation sur la GAM, s’intéresse à leurs pratiques en lien avec la médication psychiatrique et à l’accueil qu’ils ont réservé à la GAM. Un état des connaissances par rapport à l’intervention sociale et la médication y est présenté ainsi qu’une description détaillée de la GAM. Des conclusions sont tirées sur la formation GAM et sur la formation des travailleurs sociaux.