Açude do cais: uma proposta de aplicação de uma sequência de atividades didáticas em um contexto real

Currently it is expected that science education will enable a more comprehensive conception of the world and of the relationship between scientific knowledge, technology and society. Thus, we seek the science teaching attend around contexts related to science, technology and society (STS). According CTS approaches, the science education should promote learning in the scientific, technological and social fields, from experienced real contexts, generating motivation to students, offering them tools to work as scientifically literate citizens. For this, it becomes crucial to resort to innovative activities and the various methodologies and appropriate teaching materials, and there is a lack of this perspective in general basic education, which drives the practice of an STS approach. Therefore, the aim of this research is the production of an instructional sequence for the exploration of the theme: "The quality of the water in the municipality of Cuité-PB," according to focus CTS in the 2nd year of high school. The choice of this topic is due to the problem caused by the quality of water in this municipality, with the concern to address an issue that came to work the critical / reflective understanding of a real context, in order to sensitize students to the importance of scientific / technological knowledge. The selection criteria of STS subjects were also observed. In this research the materials were produced and applied by the teacher / researcher. For data collection we used the observation and analysis of student records. The results were encouraging in the sense of participation, motivation and skill acquisition. This research contributes to the teaching of science with a focus STS, as well as encourage the use of perspective in new contexts with real questioning

Políticas públicas, desenvolvimento local e participação social nas instâncias de governança associadas ao turismo no Rio Grande do Norte

In contemporary dynamics, a change is observed in the institutional structure of the state, culminating in several policies for the tourist sector which promote a new management format. The from this view, the Tourism Regionalization Macro Program (TRP), considered a significant program to Ministry of Tourism, arose as an answer to this new reality, having as strategy a joint working of structuring and promotion turned at decentralization of actions, valuing the residents participation in the search of the permanent dialogue between peers and revaluation of places and territories, based in the regionalization process. Based on this bias, this study aims to examine the role of the Tourism State Council of Rio Grande do Norte, with regard to the tourism planning, trying to understand it and solve it as governance Instance, through the Tourism Regionalization Program interventions, given the participation context of its actors and agents. For purposes of this study is delimited as time frame the year 2007 at 2014, understanding that it was this time, there was greater council members accession, as well as different types of sectors representation of civil society, as a result of a tourism public policy based on principles of innovation and participation. In relation to the research problem, this study is conceptualized as a qualitative and the chosen method is the materialist dialectic. Still on the methodological options, utilize the Content Analysis. The results show that the institutionalization of governance instance as the Conetur does not contributes, ideally, in the planning and management process of participatory and integrated tourist activity, facing a fair direction of your space production. The research indicates that there are debates, discussions and guidelines (still in a timely and targeted form), but not reverberates practical effects, by act in a conjuncture that Is strategically designed for political and economic power game, setting the hegemonic actors performance, which uses this arena to instill personal desires and wishes, that are decided in absentia to the council.

The World Heritage vs. Local Comnuty : identifying the sources of conflicts

The presented work is an essay rather than a scientific dissertation. The author wants to put an impact on the source of conflicts regarding the complex subject of heritage management and conservation in comparison with the local needs and the given context. The paper attempts to show the role of local communities and their cooperation with authorities as well as the effects of such cooperation. The area of research comprises the problems arising in the field of implementing external rules on the local field, challenges appearing regarding the needs of local communities and the efforts of official authorities trying to implement the principles of the conventions. The problems arise when local communities display the lack of understanding and do not share the common idea of heritage conservation. This is caused mainly by the decreasing possibilities of comfortable life. The author tries to identify the main and wrongful approaches as ‘Gone with the Wind’, ‘The Prince and The Pauper’, ‘Heart of Darkness’ or ‘Scarlet letter’. The focus will be put to explain what the areas are where a mutual misunderstanding arise and why all parts to the problem present different points of view. What creates a value? Is it a heritage object or maybe the other values need a stronger protection? When the general duty and the need to protect the heritage is regarded as a controversy and when it is considered as a value within a given community? The international public interest in heritage protection is often regarded as an attempt to diminish the sovereign power of the community and provokes severe controversies and tensions. The major problem envisaged today seems to be the massive and increasing urbanisation and the destruction of the vestiges still existing of traditional cultures, when we consider century urban post-industrial districts of Upper Silesia in Poland, the medieval cities in Western Europe, the traditional nomad Masaya villages in Kenya or the remains of vanished cultures in various regions of Asia. The preferred platform of cooperation between the parts of the conflict includes divergent needs, beliefs and practices of communities and the possible fields of reconciling the abovementioned. Chosen examples of the best practices considering mutual cooperation will be underlined.

Risk Consumption: Children and Online Gaming. The Problem of “Responsible Gambling”

Online gambling is a popular activity among adolescents. However, there has been a notable increase in the number of young people who suffer or are on the verge of pathological gambling. We review the impact of online gambling on young people and discuss the desiderability of the concept of “gambling responsibly” in order to alert of their risks and effectively prevent access to minors. The main factors associated with pathological gambling are the age of start, the family environment, the infl uence of advertising, the consumption of stimulants, and the attitudes of the peer group. Both the government and the gaming industry itself should consider these factors and develop comprehensive plans that ensure a safe and controlled model game. In this context, advertising must take into account criteria of consumer protection knowing that even if they are not allowed, children can easily have access to online gambling. All agents involved, including public and social agents, must provide mechanisms for prevention and awareness of a problem that arouses little social consciousness and excessive carelessness.

Detecting conflictive cultural factors in complex scenarios of intervention: Military and local actors in interaction

The integration of cultural elements into the operational planning process is a complex task that requires practical and theroretical tools for a wide comprehension of the context to help solve the problem. This article shows the results of an empirical research which presents conflicting cultural factors as the starting point for the construction of mediating structures. The main result of our research is a partial cognitive structure, a system of ideas, represented in a template listing the basic conflictive factors at the tactical level that military could find in the development of their tasks. The template is also a valuable aid to design military training curricula and to be applied to any post-conflict stability operation in complex environments resulting from irregular or asymmetric conflicts.

The VLT-FLAMES Tarantula Survey: XIX. B-type supergiants: Atmospheric parameters and nitrogen abundances to investigate the role of binarity and the width of the main sequence

Context: Model atmosphere analyses have been previously undertaken for both Galactic and extragalactic B-type supergiants. By contrast, little attention has been given to a comparison of the properties of single supergiants and those that are members of multiple systems. 

Aims: Atmospheric parameters and nitrogen abundances have been estimated for all the B-type supergiants identified in the VLT-FLAMES Tarantula survey. These include both single targets and binary candidates. The results have been analysed to investigate the role of binarity in the evolutionary history of supergiants. 

Methods: tlusty non-local thermodynamic equilibrium (LTE) model atmosphere calculations have been used to determine atmospheric parameters and nitrogen abundances for 34 single and 18 binary supergiants. Effective temperatures were deduced using the silicon balance technique, complemented by the helium ionisation in the hotter spectra. Surface gravities were estimated using Balmer line profiles and microturbulent velocities deduced using the silicon spectrum. Nitrogen abundances or upper limits were estimated from the Nii spectrum. The effects of a flux contribution from an unseen secondary were considered for the binary sample. Results. We present the first systematic study of the incidence of binarity for a sample of B-type supergiants across the theoretical terminal age main sequence (TAMS). To account for the distribution of effective temperatures of the B-type supergiants it may be necessary to extend the TAMS to lower temperatures. This is also consistent with the derived distribution of mass discrepancies, projected rotational velocities and nitrogen abundances, provided that stars cooler than this temperature are post-red supergiant objects. For all the supergiants in the Tarantula and in a previous FLAMES survey, the majority have small projected rotational velocities. The distribution peaks at about 50 km s^-1 with 65% in the range 30 km s^-1 ≤ ν_e sin i ≤ 60 km s^-1. About ten per cent have larger ve sin i (≥100 km s^-1), but surprisingly these show little or no nitrogen enhancement. All the cooler supergiants have low projected rotational velocities of ≤70 km s^-1 and high nitrogen abundance estimates, implying that either bi-stability braking or evolution on a blue loop may be important. Additionally, there is a lack of cooler binaries, possibly reflecting the small sample sizes. Single-star evolutionary models, which include rotation, can account for all of the nitrogen enhancement in both the single and binary samples. The detailed distribution of nitrogen abundances in the single and binary samples may be different, possibly reflecting differences in their evolutionary history. 

Conclusions: The first comparative study of single and binary B-type supergiants has revealed that the main sequence may be significantly wider than previously assumed, extending to T_eff = 20 000 K. Some marginal differences in single and binary atmospheric parameters and abundances have been identified, possibly implying non-standard evolution for some of the sample. This sample as a whole has implications for several aspects of our understanding of the evolutionary status of blue supergiants.

Integrated Optimal Power Flow for Distribution Networks in Local and Urban Scales

This paper develops an integrated optimal power flow (OPF) tool for distribution networks in two spatial scales. In the local scale, the distribution network, the natural gas network, and the heat system are coordinated as a microgrid. In the urban scale, the impact of natural gas network is considered as constraints for the distribution network operation. The proposed approach incorporates unbalance three-phase electrical systems, natural gas systems, and combined cooling, heating, and power systems. The interactions among the above three energy systems are described by energy hub model combined with components capacity constraints. In order to efficiently accommodate the nonlinear constraint optimization problem, particle swarm optimization algorithm is employed to set the control variables in the OPF problem. Numerical studies indicate that by using the OPF method, the distribution network can be economically operated. Also, the tie-line power can be effectively managed.

Temperature fields in a channel partially filled with a porous material under local thermal non-equilibrium condition-an exact solution

This work examines analytically the forced convection in a channel partially filled with a porous material and subjected to constant wall heat flux. The Darcy–Brinkman–Forchheimer model is used to represent the fluid transport through the porous material. The local thermal non-equilibrium, two-equation model is further employed as the solid and fluid heat transport equations. Two fundamental models (models A and B) represent the thermal boundary conditions at the interface between the porous medium and the clear region. The governing equations of the problem are manipulated, and for each interface model, exact solutions, for the solid and fluid temperature fields, are developed. These solutions incorporate the porous material thickness, Biot number, fluid to solid thermal conductivity ratio and Darcy number as parameters. The results can be readily used to validate numerical simulations. They are, further, applicable to the analysis of enhanced heat transfer, using porous materials, in heat exchangers.

A novel hybrid swarm based approach for curriculum based course timetabling problem

This work applies a hybrid approach in solving the university curriculum-based course timetabling problem as presented as part of the 2nd International Timetabling Competition 2007 (ITC2007). The core of the hybrid approach is based on an artificial bee colony algorithm. Past methods have applied artificial bee colony algorithms to university timetabling problems with high degrees of success. Nevertheless, there exist inefficiencies in the associated search abilities in term of exploration and exploitation. To improve the search abilities, this work introduces a hybrid approach entitled nelder-mead great deluge artificial bee colony algorithm (NMGD-ABC) where it combined additional positive elements of particle swarm optimization and great deluge algorithm. In addition, nelder-mead local search is incorporated into the great deluge algorithm to further enhance the performance of the resulting method. The proposed method is tested on curriculum-based course timetabling as presented in the ITC2007. Experimental results reveal that the proposed method is capable of producing competitive results as compared with the other approaches described in literature

Simulation Optimization of the Crossdock Door Assignmnet Problem

The purpose of this report is to present the Crossdock Door Assignment Problem, which involves assigning destinations to outbound dock doors of Crossdock centres such that travel distance by material handling equipment is minimized. We propose a two fold solution; simulation and optimization of the simulation model - simulation optimization. The novel aspect of our solution approach is that we intend to use simulation to derive a more realistic objective function and use Memetic algorithms to find an optimal solution. The main advantage of using Memetic algorithms is that it combines a local search with Genetic Algorithms. The Crossdock Door Assignment Problem is a new domain application to Memetic Algorithms and it is yet unknown how it will perform.

Articulação Ciência-Sociedade através do património artístico local : atividades e recursos didáticos centrados no Museu Cargaleiro

A educação em ciências com orientação Ciência-Tecnologia-Sociedade (CTS) centra-se no reconhecimento da capacidade da ciência para o desenvolvimento de uma sociedade assente nos valores da democracia. Esta orientação implica mais do que ensino de conteúdos estritamente disciplinares. O património artístico construído pode ser fonte inspiradora para o enriquecimento curricular proporcionando aprendizagens ativas e integradas. Foi nesta linha que definimos como objetivo desenvolver, implementar e validar atividades e recursos que articulam as aprendizagens na escola e no Museu Cargaleiro (Castelo Branco), na educação em ciências no 1º Ciclo do Ensino Básico (1º CEB). A investigação, com uma metodologia qualitativa, desenvolveu-se no âmbito do Estágio, numa turma de 4.ºano, inserindo-se na problemática da interação entre contextos de educação formal e não formal para a promoção da aprendizagem através da exploração de conexões das ciências com a arte. Para tal, planificámos uma visita de estudo ao Museu que contemplou a construção de recursos mediante o planeamento das três fases articuladas – antes, durante e após a visita. Da sequência didática, evidenciamos uma atividade de trabalho experimental que decorreu na fase após a visita, a fim de articular os conhecimentos adquiridos nas duas fases anteriores reforçando a compreensão dos fenómenos da luz e da cor, através da arte, envolvendo conhecimento da realidade próxima. Os resultados evidenciam que a aprendizagem dos alunos a nível de atitudes e capacidades e a nível cognitivo, avaliadas através de múltiplos registos, foi muito positiva.

An Estimation of Distribution Algorithm with Intelligent Local Search for Rule-based Nurse Rostering

This paper proposes a new memetic evolutionary algorithm to achieve explicit learning in rule-based nurse rostering, which involves applying a set of heuristic rules for each nurse's assignment. The main framework of the algorithm is an estimation of distribution algorithm, in which an ant-miner methodology improves the individual solutions produced in each generation. Unlike our previous work (where learning is implicit), the learning in the memetic estimation of distribution algorithm is explicit, i.e. we are able to identify building blocks directly. The overall approach learns by building a probabilistic model, i.e. an estimation of the probability distribution of individual nurse-rule pairs that are used to construct schedules. The local search processor (i.e. the ant-miner) reinforces nurse-rule pairs that receive higher rewards. A challenging real world nurse rostering problem is used as the test problem. Computational results show that the proposed approach outperforms most existing approaches. It is suggested that the learning methodologies suggested in this paper may be applied to other scheduling problems where schedules are built systematically according to specific rules.

Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text

Human relationships have long been studied by scientists from domains like sociology, psychology, literature, etc. for understanding people's desires, goals, actions and expected behaviors. In this dissertation we study inter-personal relationships as expressed in natural language text. Modeling inter-personal relationships from text finds application in general natural language understanding, as well as real-world domains such as social networks, discussion forums, intelligent virtual agents, etc. We propose that the study of relationships should incorporate not only linguistic cues in text, but also the contexts in which these cues appear. Our investigations, backed by empirical evaluation, support this thesis, and demonstrate that the task benefits from using structured models that incorporate both types of information. We present such structured models to address the task of modeling the nature of relationships between any two given characters from a narrative. To begin with, we assume that relationships are of two types: cooperative and non-cooperative. We first describe an approach to jointly infer relationships between all characters in the narrative, and demonstrate how the task of characterizing the relationship between two characters can benefit from including information about their relationships with other characters in the narrative. We next formulate the relationship-modeling problem as a sequence prediction task to acknowledge the evolving nature of human relationships, and demonstrate the need to model the history of a relationship in predicting its evolution. Thereafter, we present a data-driven method to automatically discover various types of relationships such as familial, romantic, hostile, etc. Like before, we address the task of modeling evolving relationships but don't restrict ourselves to two types of relationships. We also demonstrate the need to incorporate not only local historical but also global context while solving this problem. Lastly, we demonstrate a practical application of modeling inter-personal relationships in the domain of online educational discussion forums. Such forums offer opportunities for its users to interact and form deeper relationships. With this view, we address the task of identifying initiation of such deeper relationships between a student and the instructor. Specifically, we analyze contents of the forums to automatically suggest threads to the instructors that require their intervention. By highlighting scenarios that need direct instructor-student interactions, we alleviate the need for the instructor to manually peruse all threads of the forum and also assist students who have limited avenues for communicating with instructors. We do this by incorporating the discourse structure of the thread through latent variables that abstractly represent contents of individual posts and model the flow of information in the thread. Such latent structured models that incorporate the linguistic cues without losing their context can be helpful in other related natural language understanding tasks as well. We demonstrate this by using the model for a very different task: identifying if a stated desire has been fulfilled by the end of a story.

A Very Big Hand Is a Very Big Problem: Soft-Tissue Infection, Venous Thrombosis, or Just an Insect Sting?

A 67-year-old woman developed severe edema of her right hand and forearm, for which she was treated with antibiotics, without benefit. The echography excluded a venous thrombosis. Subsequently, she referred a wasp sting before the development of the edema. Specific Hymenoptera venom immunoglobulin E (IgE) was found to be positive for paper wasp and yellow jacket. A large local reaction (LLR) was diagnosed due to the hymenoptera sting. Self-injectable epinephrine was prescribed for possible, though unlikely, systemic reactions following hymenoptera stings.

A Hybrid Genetic Algorithm to Solve a Logt-Sizing and Scheduling Problem

Abstract: This paper reports a lot-sizing and scheduling problem, which minimizes inventory and backlog costs on m parallel machines with sequence-dependent set-up times over t periods. Problem solutions are represented as product subsets ordered and/or unordered for each machine m at each period t. The optimal lot sizes are determined applying a linear program. A genetic algorithm searches either over ordered or over unordered subsets (which are implicitly ordered using a fast ATSP-type heuristic) to identify an overall optimal solution. Initial computational results are presented, comparing the speed and solution quality of the ordered and unordered genetic algorithm approaches.