947 resultados para GLOBAL PERSPECTIVE


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O presente relatório tem como principal objetivo desenvolver a competência da interculturalidade no âmbito da linguagem não-verbal de alunos portugueses, do 3º ciclo do ensino básico, com frequência à disciplina de Espanhol. A Linguagem não-verbal tem um contributo preponderante na comunicação e, quando há a pretensão de se conhecer outra cultura, é forçoso que se interpretem os diferentes sistemas onde cada indivíduo se integra e interage, porque comunicar eficazmente com o outro implica um conhecimento das estruturas simbólicas e dos códigos culturais intrínsecos, não só à cultura de um outro específico, mas também ao seu próprio contexto sociocultural, histórico-cultural e económico-cultural. Este trabalho faz apologia de um ensino intercultural que promova o diálogo entre culturas, sabendo-se de antemão que há representações que devem ser desconstruídas, bem como uma linguagem não-verbal específica que pode interferir na pragmática da interculturalidade. Trata-se de uma investigação-ação demarcada por dois momentos distintos: um primeiro estudo vocacionado para a consciencialização dos alunos de que a comunicação não-verbal é uma competência que se ensina e se aprende e um segundo estudo dedicado a aspetos culturais diferenciadores, entre Espanha e Portugal, na linguagem não-verbal , com enfoque nos gestos culturais e no tratamento do tempo. Os dados a analisar são: a transcrição de uma aula gravada, onde foram aplicados vários recursos audiovisuais e escritos consentâneos com as unidades programáticas, e as respostas a um questionário dirigido à turma de intervenção e a uma turma de nacionalidade espanhola que com ela colaborou. A implementação destas atividades/estratégias didáticas permitiu concluir que, por um lado, os alunos interpretam os diferentes códigos não -verbais à luz de uma perspetiva universal, por outro, há uma forte influência de estereótipos herdados e filtrados, a partir de diferentes marcos histórico-temporais. Este estudo sobre o não- verbal também se traduziu num alicerce bastante hábil para motivar à aprendizagem em geral e para enriquecer o conhecimento sobre a cultura do outro e a sua própria cultura, através da aquisição de códigos não- verbais comunicativo-funcionais.

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The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. A novel computational intelligence technique, inspired by immunology, has emerged, called Artificial Immune Systems. Several concepts from the immune have been extracted and applied for solution to real world science and engineering problems. In this tutorial, we briefly describe the immune system metaphors that are relevant to existing Artificial Immune Systems methods. We will then show illustrative real-world problems suitable for Artificial Immune Systems and give a step-by-step algorithm walkthrough for one such problem. A comparison of the Artificial Immune Systems to other well-known algorithms, areas for future work, tips & tricks and a list of resources will round this tutorial off. It should be noted that as Artificial Immune Systems is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from time to time and from those examples given here.

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Acute respiratory distress syndrome (ARDS) is a complex disease associated with high morbidity and mortality. Biomarkers and specific pharmacologic treatment of the syndrome are lacking. MicroRNAs (miRNAs) are small (∼19–22 nucleotides) noncoding RNA molecules whose function is the regulation of gene expression. Their uncommon biochemical characteristics (eg, their resistance to degradation because of extreme temperature and pH fluctuations, freeze-thaw cycles, long storage times in frozen conditions, and RNAse digestion) and their presence in a wide range of different biological fluids and the relatively low number of individual miRNAs make these molecules good biomarkers in different clinical conditions. In addition, miRNAs are suitable therapeutic targets as their expression can be modulated by different available strategies. The aim of the present review is to offer clinicians a global perspective of miRNA, covering their structure and nomenclature, biogenesis, effects on gene expression, regulation of expression, and features as disease biomarkers and therapeutic targets, with special attention to ARDS. Because of the early stage of research on miRNAs applied to ARDS, attention has been focused on how knowledge sourced from basic and translational research could inspire future clinical studies.

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Entrepreneurship education has emerged as one popular research domain in academic fields given its aim at enhancing and developing certain entrepreneurial qualities of undergraduates that change their state of behavior, even their entrepreneurial inclination and finally may result in the formation of new businesses as well as new job opportunities. This study attempts to investigate the Colombian student´s entrepreneurial qualities and the influence of entrepreneurial education during their studies.

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El cambio es tan válida, como cuando se aplica al contexto logístico donde sus implicaciones sobre la efectividad de las empresas del cual se deben enfrentarse en un mercado global; hoy, no basta con tener un producto “estrella” y un precio competitivo, sino también prestar el mejor servicio al cliente, gerenciando los recursos involucrados en la cadena de abastecimiento. En el proyecto se expone la formulación viable para la logística en la cadena de abastecimiento en la empresa BIMBO, el cual efectúe la estrategia de “Autoventa”, métodos a partir de la administración de productos de alta rotación y controlar el manejo de información relacionada con el consumo, con el fin de satisfacer las necesidades de los clientes de manera rentable. El objetivo de este proceso es hacer llegar el producto correcto al cliente correcto en el lugar correcto y en el momento correcto. Por consiguiente este trabajo es el resultado del análisis de la cadena de Abastecimiento y el acercamiento a la creación de un plan estratégico de logística.

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Esta investigación explora arqueológicamente el saber constituido sobre el campesinado en Colombia, en el período de 1965-1975, tomando como material empírico principal un archivo fotográfico documental que relacionaremos con hemerografía y las reconstrucciones socio-históricas de la década. Nuestro propósito es relacionar el archivo, sus condiciones, su porvenir, medios y definiciones con la constitución de subjetividades políticas. Las subjetividades son entendidas aquí en tanto procesos que al referir universos simbólicos socialmente compartidos, dotan al sujeto de un lenguaje cultural que a continuación internaliza, y adquiere así una singularidad que lo caracteriza y finalmente lo representa como “ser colectivo”. Descifraremos, a través de lo visible y lo oculto de las representaciones fotográficas, los enunciados posibles y las aproximaciones desde la sociología. Veremos como los discursos, por demás contradictorios, fungen a manera de proyectos de homogeneización de la cultura campesina efectuándose en la esfera de la heterogeneidad: campesinos marcados por diferencias entre sí, multiplicidad de subjetividades implicadas políticamente en los procesos inscritos dentro de la reforma agraria.

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Taking example of textual, oral and visual contents from Italian and Swiss government websites (Italian and French-speaking ones), this research makes a case study on the theme of inclusive communication, focusing particularly on non-sexist communication. Our corpus consists of Italian (https://www.governo.it/), Swiss Italian (https://www.admin.ch/gov/it/pagina-iniziale.html) and Swiss French (https://www.admin.ch/gov/fr/accueil.html) government websites. To better analyze the topic of inclusion, we decided to divide the thesis into two parts: a first theoretical section that focuses on a description of the topic's basic notions and the policies adopted by the two countries; a detailed presentation of the categories of marginalized people and the current situation of the use of processes related to inclusive communication; an analysis of communication from a gender perspective and the differences between the two countries. For the second section of this thesis, we decided to conduct innovative research by comparing and contrasting the three websites. Press releases, speeches, job postings and photo galleries will be among the analyzed materials. These sources will be studied meticulously to form a global perspective on the progress of inclusive communication in Italy and Switzerland.

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Although global biodiversity is declining, local ecosystems are not systematically losing diversity, but rather experiencing rapid turnover in species.

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Changes in ocean circulation associated with internal climate variability have a major influence on upper ocean temperatures, particularly in regions such as the North Atlantic, which are relatively well-observed and therefore over-represented in the observational record. As a result, global estimates of upper ocean heat content can give misleading estimates of the roles of natural and anthropogenic factors in causing oceanic warming. We present a method to quantify ocean warming that filters out the natural internal variability from both observations and climate simulations and better isolates externally forced air-sea heat flux changes. We obtain a much clearer picture of the drivers of oceanic temperature changes, being able to detect the effects of both anthropogenic and volcanic influences simultaneously in the observed record. Our results show that climate models are capable of capturing in remarkable detail the externally forced component of ocean temperature evolution over the last five decades.

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At the end of the 20th century, we can look back on a spectacular development of numerical weather prediction, which has, practically uninterrupted, been going on since the middle of the century. High-resolution predictions for more than a week ahead for any part of the globe are now routinely produced and anyone with an Internet connection can access many of these forecasts for anywhere in the world. Extended predictions for several seasons ahead are also being done — the latest El Niño event in 1997/1998 is an example of such a successful prediction. The great achievement is due to a number of factors including the progress in computational technology and the establishment of global observing systems, combined with a systematic research program with an overall strategy towards building comprehensive prediction systems for climate and weather. In this article, I will discuss the different evolutionary steps in this development and the way new scientific ideas have contributed to efficiently explore the computing power and in using observations from new types of observing systems. Weather prediction is not an exact science due to unavoidable errors in initial data and in the models. To quantify the reliability of a forecast is therefore essential and probably more so the longer the forecasts are. Ensemble prediction is thus a new and important concept in weather and climate prediction, which I believe will become a routine aspect of weather prediction in the future. The limit between weather and climate prediction is becoming more and more diffuse and in the final part of this article I will outline the way I think development may proceed in the future.

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This paper discusses how global financial institutions are using big data analytics within their compliance operations. A lot of previous research has focused on the strategic implications of big data, but not much research has considered how such tools are entwined with regulatory breaches and investigations in financial services. Our work covers two in-depth qualitative case studies, each addressing a distinct type of analytics. The first case focuses on analytics which manage everyday compliance breaches and so are expected by managers. The second case focuses on analytics which facilitate investigation and litigation where serious unexpected breaches may have occurred. In doing so, the study focuses on the micro/data to understand how these tools are influencing operational risks and practices. The paper draws from two bodies of literature, the social studies of information systems and finance to guide our analysis and practitioner recommendations. The cases illustrate how technologies are implicated in multijurisdictional challenges and regulatory conflicts at each end of the operational risk spectrum. We find that compliance analytics are both shaping and reporting regulatory matters yet often firms may have difficulties in recruiting individuals with relevant but diverse skill sets. The cases also underscore the increasing need for financial organizations to adopt robust information governance policies and processes to ease future remediation efforts.