De la maltraitance à l’enfance aux comportements d’agression à l’âge adulte : quel est le rôle de la réactivité émotionnelle et comportementale?

En dépit des efforts déployés pour diminuer la prévalence de la maltraitance à l’enfance, celle-ci serait associée à des difficultés non négligeables, dont la manifestation d’agression. La réactivité émotionnelle et comportementale, incluant la colère, la peur et l’évitement, est proposée comme mécanisme expliquant la relation unissant la maltraitance à l’agression. Quatre objectifs sont poursuivis à cette fin, soit d’examiner la relation notée entre: (1) la maltraitance et l’agression, (2) la maltraitance et la colère, la peur, ainsi que l’évitement, (3) la colère, la peur, ainsi que l’évitement et l’agression et (4) tester formellement le rôle médiateur et modérateur de la colère, la peur et l’évitement à cette relation. Les données de 160 hommes âgés de 18 à 35 ans ayant été exposés ou non à de la maltraitance ont été colligées par le biais de questionnaires et d’une tâche de provocation sociale permettant de mesurer les expressions faciales de colère et de peur, ainsi que les comportements d’évitement. Les résultats suggèrent que la maltraitance et les comportements d’évitement sont associés à l’agression. La maltraitance ne serait toutefois pas liée à la colère, à la peur et à l’évitement. Alors que les résultats suggèrent que ces indices n’aient pas de rôles médiateurs dans la relation entre la maltraitance et l’agression, la réactivité aux plans de la colère et de l’évitement magnifierait cette relation. Ainsi, les résultats invitent à prendre en compte les expériences de maltraitance et l’intensité de la réactivité émotionnelle et comportementale dans les interventions afin de cibler les individus plus à risque d’avoir recours à l’agression.

Inteligência espiritual: Propriedades psicométricas da escala de inteligência espiritual integrada (EIEI)

Amram e Dryer (2008) propõem o construto de Inteligência Espiritual [IE] e defendem a inclusão da mesma na Teoria das Inteligências Múltiplas de Gardner. Os autores apontam 5 dimensões para a IEs: “Consciência”, “Transcendência”, “Graça”, “Verdade” e “Significado” que compõem a Integrated Spiritual Inteligence Scale [ISIS]. A presente investigação visa apresentar os dados preliminares de validação de um novo instrumento para avaliação do conceito de inteligência espiritual, na população portuguesa. Participaram no estudo 714 sujeitos, 257 do sexo masculino e 461 do sexo feminino, com idades compreendidas entre os 14 e os 81 anos. A aplicação dos instrumentos realizou-se online e além da utilização da Escala de Inteligência Espiritual Integrada usámos um questionário sociodemográfico com o intuito de caracterizar a amostra. A escala apresenta uma estrutura penta fatorial (“Coping religioso e espiritual”, “Consciência”, “Graça”, “Significado” e “Missão”). No estudo da consistência interna obtêm-se valores de alpha de Cronbach situados entre os 0.67 e 0.88, e de 0.92 para a escala total. Nesta versão preliminar as dimensões obtidas não foram congruentes com a escala original. Apesar de serem necessários estudos posteriores que se debrucem sobre a validade convergente e discriminante, e uma confirmação da estabilidade da estrutura fatorial obtida em nova amostra, este trabalho constitui um contributo relevante para a análise crítica deste novo constructo, assim como se assume como ponto de partida para outras pesquisas na área da Inteligência Espiritual.

State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems - a review

Given the considerable recent attention to distributed power generation and interest in sustainable energy, the integration of photovoltaic (PV) systems to grid-connected or isolated microgrids has become widespread. In order to maximize power output of PV system extensive research into control strategies for maximum power point tracking (MPPT) methods has been conducted. According to the robust, reliable, and fast performance of artificial intelligence-based MPPT methods, these approaches have been applied recently to various systems under different conditions. Given the diversity of recent advances to MPPT approaches a review focusing on the performance and reliability of these methods under diverse conditions is required. This paper reviews AI-based techniques proven to be effective and feasible to implement and very common in literature for MPPT, including their limitations and advantages. In order to support researchers in application of the reviewed techniques this study is not limited to reviewing the performance of recently adopted methods, rather discusses the background theory, application to MPPT systems, and important references relating to each method. It is envisioned that this review can be a valuable resource for researchers and engineers working with PV-based power systems to be able to access the basic theory behind each method, select the appropriate method according to project requirements, and implement MPPT systems to fulfill project objectives.

The ‘Security of Security’: making up the Australian intelligence community 1975–2015

The legal and institutional arrangements for Australian security and intelligence underwent major changes in the 1970s. Existing agencies were publicly acknowledged for the first time, new agencies were established, new powers of investigation and surveillance were introduced and an emergent ‘intelligence community’ was formed. As in Canada (and the USA), numerous ‘crises’ in Australian intelligence practices led to and informed various commissions of inquiry that made visible previously hidden intelligence institutions and associated surveillance practices. Subsequent inquiries, security and intelligence plans, national statements and reforms in Australia built upon these developments, which were indicative of a good measure of continuity in intelligence and surveillance arrangements. This chapter identifies how intelligence and security arrangements were 'problematised’ from the 1970s, and a new ‘intelligence community’ was created as an object of governing.

Expatriate career intentions: links to career adaptability and cultural intelligence

Given the increasing rate of global mobility, it is important to have a greater understanding ofthe factors that influence intentions for expatriate careers. Guided by the Career ConstructionTheory and Intelligence Theory, this study takes the view that self-initiated expatriation as aform of global mobility is an adaptive vocational behavior driven by an individual's self-regulatorycapacity to thrive in another country and work to build one's career. This study positsthat individuals who want to work overseas rely mainly on their adaptive resources to developtheir careers. Additionally, career adaptability, as a self-regulatory competency, is posited to bereinforced by an individual's intercultural capability (i.e., cultural intelligence). To test these assertions,data were collected in a sample of university students (n = 514) in the Philippines, acountry reported to have high rates of overseas migration for economic and career-related reasons.Career adaptability was found to be positively and significantly related to overseas careerintentions. In addition, cultural intelligence was found to moderate the said relationship. Theseresults offer the groundwork for understanding the earlier stages of expatriate careers and, inparticular, how the intention to have a career in another country is developed and influencedby the interaction between the self-regulatory characteristics and intercultural capability ofindividuals.

Using business intelligence to support the process of organizational sensemaking.

Morteza’s thesis investigated the opportunities in using BI technologies to make sense of a business environment. The results of his research highlighted the need for creating and maintaining an identity for Business Intelligence at both individual and organizational level and enacting this identity on the business and its environment.

An Artificial Intelligence Approach to Dyscalculia

Dyscalculia stands for a brain-based condition that makes it hard to make sense of numbers and mathematical concepts. Some adolescents with dyscalculia cannot grasp basic number concepts. They work hard to learn and memorize basic number facts. They may know what to do in mathematical classes but do not understand why they are doing it. In other words, they miss the logic behind it. However, it may be worked out in order to decrease its degree of severity. For example, disMAT, an app developed for android may help children to apply mathematical concepts, without much effort, that is turning in itself, a promising tool to dyscalculia treatment. Thus, this work focuses on the development of an Intelligent System to estimate children evidences of dyscalculia, based on data obtained on-the-fly with disMAT. The computational framework is built on top of a Logic Programming framework to Knowledge Representation and Reasoning, complemented with a Case-Based problem solving approach to computing, that allows for the handling of incomplete, unknown, or even contradictory information.

An Assessment to Toxicological Risk of Pesticide Exposure

On the one hand, pesticides may be absorbed into the body orally, dermally, ocularly and by inhalation and the human exposure may be dietary, recreational and/or occupational where toxicity could be acute or chronic. On the other hand, the environmental fate and toxicity of the pesticide is contingent on the physico-chemical characteristics of pesticide, the soil composition and adsorption. Human toxicity is also dependent on the exposure time and individual’s susceptibility. Therefore, this work will focus on the development of an Artificial Intelligence based diagnosis support system to assess the pesticide toxicological risk to humanoid, built under a formal framework based on Logic Programming to knowledge representation and reasoning, complemented with an approach to computing grounded on Artificial Neural Networks. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting.

Business intelligence em sistemas de apoio à gestão de frotas: Análise de Tecnologias e metodologias

O objecto de estudo desta tese de mestrado surgiu da necessidade de dar resposta a uma proposta para uma solução de business intelligence a pedido de um cliente da empresa onde até à data me encontro a desempenhar funções de analista programador júnior. O projecto consistiu na realização de um sistema de monitorização de eventos e análise de operações, portanto um sistema integrado de gestão de frotas com módulo de business intelligence. Durante o decurso deste projecto foi necessário analisar metodologias de desenvolvimento, aprender novas linguagens, ferramentas, como C#, JasperReport, visual studio, Microsoft SQL Server entre outros. ABSTRACT: Business Intelligence applied to fleet management systems - Technologies and Methodologies Analysis. The object of study of this master's thesis was the necessity of responding to a proposal for a business intelligence solution at the request of a client company where so far I find the duties of junior programmer. The project consisted of a system event monitoring and analysis of operations, so an integrated fleet management with integrated business intelligence. During the course of this project was necessary to analyze development methodologies, learn new languages, tools such as C #, JasperReports, visual studio, Microsoft Sql Server and others.

An Artificial Intelligence Approach to Individuals' Age Assessment

A link between patterns of pelvic growth and human life history is supported by the finding that, cross-culturally, variation in maturation rates of female pelvis are correlated with variation in ages of menarche and first reproduction, i.e., it is well known that the human dimensions of the pelvic bones depend on the gender and vary with the age. Indeed, one feature in which humans appear to be unique is the prolonged growth of the pelvis after the age of sexual maturity. Both the total superoinferior length and mediolateral breadth of the pelvis continues to grow markedly after puberty, and do not reach adult proportions until the late teens years. This continuation of growth is accomplished by relatively late fusion of the separate centers of ossification that form the bones of the pelvis. Hence, in this work we will focus on the development of an intelligent decision support system to predict individual’s age based on a pelvis' dimensions criteria. Some basic image processing techniques were applied in order to extract the relevant features from pelvic X-rays, being the computational framework built on top of a Logic Programming approach to Knowledge Representation and Reasoning that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing.

Analysis of Dyscalculia Evidences through Artificial Intelligence Systems

Dyscalculia is usually perceived of as a specific learning difficulty for mathematics or, more appropriately, arithmetic. Because definitions and diagnoses of dyscalculia are in their infancy and sometimes are contradictory. However, mathematical learning difficulties are certainly not in their infancy and are very prevalent and often devastating in their impact. Co-occurrence of learning disorders appears to be the rule rather than the exception. Co-occurrence is generally assumed to be a consequence of risk factors that are shared between disorders, for example, working memory. However, it should not be assumed that all dyslexics have problems with mathematics, although the percentage may be very high, or that all dyscalculics have problems with reading and writing. Because mathematics is very developmental, any insecurity or uncertainty in early topics will impact on later topics, hence to need to take intervention back to basics. However, it may be worked out in order to decrease its degree of severity. For example, disMAT, an app developed for android may help children to apply mathematical concepts, without much effort, that is turning in itself, a promising tool to dyscalculia treatment. Thus, this work will focus on the development of a Decision Support System to estimate children evidences of dyscalculia, based on data obtained on-the-fly with disMAT. The computational framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, grounded on a Case-based approach to computing, that allows for the handling of incomplete, unknown, or even self-contradictory information.