Comando e Controlo na Artilharia Antiaérea

O presente trabalho, subordinado à temática “Comando e Controlo na Artilharia Antiaérea”, pretende problematizar algumas das questões mais recentes relativas a matérias de segurança e defesa, fruto dos mais recentes acontecimentos. Por exemplo, refira-se o abate do voo comercial na Ucrânia, entre outros inúmeros casos que se constituem como fatores que levam a questionar a capacidade de defesa dos Estados face ao fácil acesso e baixo custo destes meios, à mercê de pessoas/organizações criminosas e terroristas. Assim, é premente a necessidade de aquisição, por parte dos Estados, nomeadamente de Portugal, de uma Artilharia mais robusta e com um sistema de Comando e Controlo automático capaz de combater as potenciais e prováveis ameaças aéreas. Esta investigação pretende, então, analisar o atual sistema de Comando e Controlo da Artilharia Antiaérea nacional, por forma a identificar as suas capacidades e, em paralelo, as suas vulnerabilidades. Concomitantemente pretende-se analisar o sistema perante as ameaças aéreas e as operações que deverá executar no âmbito dos compromissos internacionais, com o objetivo fulcral de identificar prováveis potencialidades que deverão integrar o referido sistema. Pretende-se, deste modo, propor uma revisão do atual sistema no sentido de colmatar as suas prováveis lacunas e capacitando-o para uma resposta eficaz e efetiva perante eventuais ameaças, na esteira dos compromissos internacionais. No início apresentamos uma ‘revisão de literatura’ para que o leitor se familiarize com os conceitos e nomenclatura em uso nesta reflexão. Subsequentemente, expõe-se a metodologia empregue e são abordados os sistemas de Defesa Aérea e de Artilharia Antiaérea e, posteriormente, o Comando e Controlo. De seguida, apresenta-se uma análise possível dos dados provenientes das entrevistas executadas. Baseando-nos na investigação realizada, conclui-se que a Artilharia Antiaérea corre o risco sério de não dispor de capacidade de defesa, a baixa e muito baixa altitude, se não forem adquiridos rapidamente os materiais imprescindíveis para que os sistemas possam cabalmente atuar.

Desenvolvimento de pastas cimentantes utilizando cimentos portland compostos para cimentação de poços petrolíferos

The Compound Portland cements are commonly used in construction, among them stand out the CPII-Z, CPII-F and CPIV. These types of cement have limited application on oil well cementing, having its compositional characteristics focused specifically to construction, as cement for use in oil wells has greater complexity and properties covering the specific needs for each well to be coated. For operations of oil wells cementing are used Portland cements designed specifically for this purpose. The American Petroleum Institute (API) classifies cements into classes designated by letters A to J. In the petroleum industry, often it is used Class G cement, which is cement that meets all requirements needed for cement from classes A to E. According to the scenario described above, this paper aims to present a credible alternative to apply the compound cements in the oil industry due to the large availability of this cement in relation to oil well cements. The cements were micro structurally characterized by XRF, XRD and SEM tests, both in its anhydrous and hydrated state. Later technological tests were conducted to determine the limits set by the NBR 9831. Among the compound cements studied, the CPII-Z showed satisfactory properties for use in primary and secondary operations of oil wells up to 1200 meters cementing

Work, Professional Development And Teaching Commitment: Deconstructing Meanings

The paper we present is part of the research project "The professional identity of teacher studies", that we are development for last 3 years. The third phase of this research put the focus on the experience of job placement of novel teachers, graduated no more than 5 years. We work with focal groups and professional experience and teacher education accounts of teachers implied in this research. Also, for any teachers, we do biographical interviews to deepen on processes of construction of professional identity. In this paper we present the Ana Belen History, a female teacher of pre-school education with an experience of 4 years in school, working in a urban school with students in risk of exclusion. This school have a educative project, commitment with the neighbourhood, joint with the community and other social groups. Ana Belen story, from professional perspective, is linked with the social politic and educational commitment of this school. Our interest is focused in the comprehension of professional identity that Ana Belen has gone forging along her personal story and how her education and job placement has contributed for it. Also we are interested in knowing how early professional experiences have influenced in her professional development as teacher. Specifically we ask ourselves about what influence have for her professional identity, that her career starts in this particular school. In consequence, this paper leads us to question the current teacher education model. In particular we are interested on the kind of professional experience that have place and, so, the kinds of commitments that enables. We understand that frameworks in which professional education and experience have place are relevant to enable more or less transformer understandings about teaching. From conceptual perspective this paper adopts a socio-critical point of view (Gergen, 1985; Kincheloe, 2001; Wenger, 1988, etc.). We understand that teaching has to be analysing according work contexts and personal stories of teachers, because we face processes historical and collective building. Teaching is the result of action of their actors, over time, and in specific stage. So, with this research we intend to break with the old gap between pre and in-service education. We think that both of them are part of the same process and are formed according similar logical; although scenes change. We understand that they are part of a continuous process in which is giving sense to different and complex settings where teaching profession is built, but they are not differenced and independent stages. The teacher work, so, is subject to particular conditions, generated from such different fields as institutional, corporative, cultural, social, political, moral, etc. It displays a kaleidoscopic view on space, time, context, ... These are the axis in which the teaching is formed, from the complexity and heterogeneity. How this complexity is articulated results in different ways to face the teacher work, according different personal and professional stories. The teacher acts with subjects in instituted contexts from relationships he has with them, which gives a situated and contingent character. But, these contexts are strongly structured and ruled according centralized and generalized positions; which is, at the very least, paradoxical. Possibly, from our point of view, same of the crisis of teaching have to explain from this paradoxical perspective and the conflict, which characterize this job (Rivas, Leite y Cortés, 2011)

Online distance education models and research implications

As a form of education, distance education is influenced by educationaltheories and ideologies. Hence, over time its various theoretical modelshave reflected varying emphases on students, both individually and ingroups, on content and process, and on administration and costs, and itsguiding philosophies have ranged from knowledge replication to knowledge creation, and from teacher direction to learner engagement. Its founding purpose was the provision of education to populations who were not able to access available residential education. The reasons were not only based on the individual situation, such as, geographic location, family commitments,work commitments, or cost factors, but also included state issues such as insufficient institutions or a lack of enrolment places, full-time funding, or sufficient staff. These factors have contributed in various ways to the growth of distance education, both historically as when distance education was a major focus in many European countries after WWII, and as a current imperative in many countries where the need and desire for education outstrips the supply through residential institutions, regardless of their fiscal capacities. Education is seen by both individuals and states as essential for the development of a better socio-economic environment, hence, distance education has become the cost-affordable means of provision for millions worldwide.Distance education, then, is framed within larger socio-economic andpolitical contexts. These are not only reflective of societal characteristics like those identified by Keegan (2000): immediacy, globalization, privatization, and industrialization, to which we added professional learning, but also reflective of current social, political, and economic circumstances, such as the sequence of global economic crises this century.Within these contexts then, the provision of distance education seldomarises from the desire of an institution alone; rather there are likely to becomplex national, local, and individual aspirations where distance education is seen as the best solution. The realization of this provision depends on the issues being addressed and the various influences on the particular configuration of design and provision. It may be publicly or privately funded; it may seek to emulate or extend educational provision in residential institutions; its focus may be on increasing access or openness or convenience.Models or designs for distance education, then, have generally arisen from consideration of these instances, in part to provide a framework for researchers and in part to provide a means to reflect on issues that the models themselves have tried to resolve and sometimes inadvertently create.

Liberalism and economic growth: a theoretical exploration

This article explores how the liberal tradition of political thought has dealt with the prospect of limits to economic growth and how it should approach this issue in the future. Using Andrew Moravcsik’s explanatory liberal theory, it finds that the commitment of governments to growth stems primarily from the aggregation of societal preferences for the social goods that growth produces. The arguments of liberal thinkers who have grappled with the issue of growth are then examined to gain a deeper theoretical understanding of the relationship between liberal democracy and growth. These include John Stuart Mill, for whom a non-growing economy was essential for overcoming the tension between liberty and equality; Ronald Dworkin who argues that growth is a derivative means to further more fundamental ends; and Marcel Wissenburg who suggests that it is legitimate for liberal democracies to limit the preference for growth if it risks undermining liberal norms and institutions. Using
these theoretical insights, it is argued that environmental degradation, which is partly driven by growth, now threatens the fundamental liberal commitments of many liberals, including some forms of
state neutralism, utilitarianism, inalienable individual rights and above all human autonomy. Therefore, liberal democratic states not only can, but must move towards a post-growth economy to secure these objectives into the future.

Detecting invertebrate responses to fire depends on sampling method and taxonomic resolution

New knowledge about the responses of species to fire is needed to plan for biodiversity conservation in the face of changing fire regimes. However, the knowledge that is acquired may be influenced by the sampling method and the taxonomic resolution of a study. To investigate these potential sampling biases, we examined invertebrate responses to time since fire in mallee woodlands of southern Australia. Using a large-scale replicated study system, we sampled over 60000 invertebrates with large pitfall traps, wet pitfall traps and sweep nets, and undertook analyses at morphospecies and order level. Large pitfalls and sweep nets detected several strong fire effects, whereas wet pitfall traps detected few effects. Invertebrate abundance in sweep nets was highest shortly after fire because of grasshopper outbreaks. Several additional morphospecies showed strong preferences for different stages in the post-fire succession. In contrast with morphospecies effects, analyses at order level either failed to detect fire effects or were driven by the most abundant species. For fire research to produce credible results with the potential to guide management, it must use a range of sampling techniques and undertake analyses at (morpho)species level. Homogeneous fire management, such as fire suppression in fragmented landscapes or widespread frequent burning for asset protection, is likely to cause declines in fire-affected invertebrates.

Prospects for a post-growth liberal society

This paper explores how the liberal tradition of political thought has dealt with the prospect of limits to economic growth and how it should approach this issue in the future. Using Andrew Moravcsik’s explanatory liberal theory, it finds that the commitment of governments to growth stems primarily from the aggregation of societal preferences. The arguments of liberal thinkers who have grappled with the issue of growth are then examined to gain a deeper theoretical understanding of the relationship between liberal democracy and growth. These include John Stuart Mill, for whom a non-growing economy was essential for overcoming the tension between liberty and equality; Ronald Dworkin who argues that growth is a derivative means to further more fundamental ends; and Marcel Wissenburg who suggests that it is legitimate for liberal democracies to limit the preference for growth if it risks undermining liberal norms and institutions. Using these theoretical insights, it is argued that environmental degradation, which is partly driven by growth, now threatens fundamental liberal commitments to state neutralism, utilitarianism, inalienable individual rights and above all human autonomy. Therefore, liberal democratic states not only can, but must move towards a post-growth economy to secure these objectives into the future.

Accessibility impact of proposed Australian high speed rail

High speed rail (also commonly known as HSR) is highly regarded as one of the most significant innovation for mass passenger transportation to travellers willing to pay for reduced travel impediments (shorter travel time, convenience, safety, security, comfort, reliability, flexibility, uniqueness and attractiveness). The transport policy in Australia has until now focused primarily on private passenger car transport and air transportation to the degree that State and Federal Governments’ commitments and actions of rail-oriented mass transportation system still remains sketchy in spite of occasional political and public attentions into it. This has resulted in a limited use of passenger rail as a regional transport system. Using one of the several alternative HSR alignments proposed for the South-Eastern Coast of Australia connecting Melbourne, Canberra, Sydney and Brisbane, this study assesses the regional accessibility impacts of Australian HSR system by means of four indicators: location accessibility, economic potential accessibility, daily accessibility and commuting accessibility. These indicators are commonly used in transport geography literature and they offer different concepts of changes in regional accessibility conditions due to a long distance transport system. The results provide an understanding of differential effects on regional accessibility based on the geographical location and size of urban areas along HSR corridor.

A real-time abnormality detection system for intensive care management

Detecting abnormalities from multiple correlated time series is valuable to those applications where a credible realtime event prediction system will minimize economic losses (e.g. stock market crash) and save lives (e.g. medical surveillance in the operating theatre). For example, in an intensive care scenario, anesthetists perform a vital role in monitoring the patient and adjusting the flow and type of anesthetics to the patient during an operation. An early awareness of possible complications is vital for an anesthetist to correctly react to a given situation. In this demonstration, we provide a comprehensive medical surveillance system to effectively detect abnormalities from multiple physiological data streams for assisting online intensive care management. Particularly, a novel online support vector regression (OSVR) algorithm is developed to approach the problem of discovering the abnormalities from multiple correlated time series for accuracy and real-time efficiency. We also utilize historical data streams to optimize the precision of the OSVR algorithm. Moreover, this system comprises a friendly user interface by integrating multiple physiological data streams and visualizing alarms of abnormalities. © 2013 IEEE.

Collaborative learning experience of students in distance education

Educational institutions recognised that the distance education mode is a preferred way to combine study with life, family and work commitments for distance learners. Distance education has played an important role in the provision of educational equity for distance learners who live in remote Australian communities. Engaging students and academic staff will always enhance student-learning outcomes to ensure a positive experience in distance education. It can be effectively achieved through collaborative learning. In distance education, academic staff and students face a number of challenges such as lack of student motivation, high student attrition rates, and a sense of isolation from a university community. Collaborative learning experience will enhance learner-staff and learner-learner interactions in distance learning, which can be achieved through developing a learning process. The learning process for distance learners involves student-learning strategy, Staff interactive sessions, peer-to-peer support, e-assessment, and self-realization of graduate learning outcomes. This distance learning process is confined for Deakin University learning environment, however the expectations is that the distance learning will be more mainstream in future of learning and teaching in Australian institutions. The focus of this research is to analyse and share collaborative learning experience of distance learners (off-campus) students in project management unit. It helps to analyse the barriers in distance education and finding ways to initiate collaborative programs in future. It also helps to fulfil the distance learners’ expectations on program delivery.

A robust and reproducible procedure for cross-linking thermoset polymers using molecular simulation

Molecular simulation can provide valuable guidance in establishing clear links between structure and function to enable the design of new polymer-based materials. However, molecular simulation of thermoset polymers in particular, such as epoxies, present specific challenges, chiefly in the credible preparation of polymerised samples. Despite this need, a comprehensive, reproducible and robust process for accomplishing this using molecular simulation is still lacking. Here, we introduce a clear and reproducible cross-linking protocol to reliably generate three dimensional epoxy cross-linked polymer structures for use in molecular simulations. This protocol is sufficiently detailed to allow complete reproduction of our results, and is applicable to any general thermoset polymer. Amongst our developments, key features include a reproducible procedure for calculation of partial atomic charges, a reliable process for generating and validating an equilibrated liquid precursor mixture, and establishment of a novel, robust and reproducible protocol for generating the three-dimensional cross-linked solid polymer. We use these structures as input to subsequent molecular dynamics simulations to calculate a range thermo-mechanical properties, which compare favourably with experimental data. Our general protocol provides a benchmark for the process of simulating epoxy polymers, and can be readily translated to prepare and model epoxy samples that are dynamically cross-linked in the presence of surfaces and nanostructures.

APPLICATION OF AN IMPUTATION METHOD FOR GEOSPATIAL INVENTORY OF FOREST STRUCTURAL ATTRIBUTES ACROSS MULTIPLE SPATIAL SCALES IN THE LAKE STATES, U.S.A.

Credible spatial information characterizing the structure and site quality of forests is critical to sustainable forest management and planning, especially given the increasing demands and threats to forest products and services. Forest managers and planners are required to evaluate forest conditions over a broad range of scales, contingent on operational or reporting requirements. Traditionally, forest inventory estimates are generated via a design-based approach that involves generalizing sample plot measurements to characterize an unknown population across a larger area of interest. However, field plot measurements are costly and as a consequence spatial coverage is limited. Remote sensing technologies have shown remarkable success in augmenting limited sample plot data to generate stand- and landscape-level spatial predictions of forest inventory attributes. Further enhancement of forest inventory approaches that couple field measurements with cutting edge remotely sensed and geospatial datasets are essential to sustainable forest management. We evaluated a novel Random Forest based k Nearest Neighbors (RF-kNN) imputation approach to couple remote sensing and geospatial data with field inventory collected by different sampling methods to generate forest inventory information across large spatial extents. The forest inventory data collected by the FIA program of US Forest Service was integrated with optical remote sensing and other geospatial datasets to produce biomass distribution maps for a part of the Lake States and species-specific site index maps for the entire Lake State. Targeting small-area application of the state-of-art remote sensing, LiDAR (light detection and ranging) data was integrated with the field data collected by an inexpensive method, called variable plot sampling, in the Ford Forest of Michigan Tech to derive standing volume map in a cost-effective way. The outputs of the RF-kNN imputation were compared with independent validation datasets and extant map products based on different sampling and modeling strategies. The RF-kNN modeling approach was found to be very effective, especially for large-area estimation, and produced results statistically equivalent to the field observations or the estimates derived from secondary data sources. The models are useful to resource managers for operational and strategic purposes.

Bayesian Estimation of Small Proportions Using Binomial Group Test

Group testing has long been considered as a safe and sensible relative to one-at-a-time testing in applications where the prevalence rate p is small. In this thesis, we applied Bayes approach to estimate p using Beta-type prior distribution. First, we showed two Bayes estimators of p from prior on p derived from two different loss functions. Second, we presented two more Bayes estimators of p from prior on π according to two loss functions. We also displayed credible and HPD interval for p. In addition, we did intensive numerical studies. All results showed that the Bayes estimator was preferred over the usual maximum likelihood estimator (MLE) for small p. We also presented the optimal β for different p, m, and k.

Building bridges for innovation in ageing:synergies between action groups of the EIP on AHA

The Strategic Implementation Plan of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) proposed six Action Groups. After almost three years of activity, many achievements have been obtained through commitments or collaborative work of the Action Groups. However, they have often worked in silos and, consequently, synergies between Action Groups have been proposed to strengthen the triple win of the EIP on AHA. The paper presents the methodology and current status of the Task Force on EIP on AHA synergies. Synergies are in line with the Action Groups’ new Renovated Action Plan (2016-2018) to ensure that their future objectives are coherent and fully connected. The outcomes and impact of synergies are using the Monitoring and Assessment Framework for the EIP on AHA (MAFEIP). Eight proposals for synergies have been approved by the Task Force: Five cross-cutting synergies which can be used for all current and future synergies as they consider overarching domains (appropriate polypharmacy, citizen empowerment, teaching and coaching on AHA, deployment of synergies to EU regions, Responsible Research and Innovation), and three cross-cutting synergies focussing on current Action Group activities (falls, frailty, integrated care and chronic respiratory diseases).