A framework for adapting survey design through time for wildlife population assessment

Sampling strategies for monitoring the status and trends in wildlife populations are often determined before the first survey is undertaken. However, there may be little information about the distribution of the population and so the sample design may be inefficient. Through time, as data are collected, more information about the distribution of animals in the survey region is obtained but it can be difficult to incorporate this information in the survey design. This paper introduces a framework for monitoring motile wildlife populations within which the design of future surveys can be adapted using data from past surveys whilst ensuring consistency in design-based estimates of status and trends through time. In each survey, part of the sample is selected from the previous survey sample using simple random sampling. The rest is selected with inclusion probability proportional to predicted abundance. Abundance is predicted using a model constructed from previous survey data and covariates for the whole survey region. Unbiased design-based estimators of status and trends and their variances are derived from two-phase sampling theory. Simulations over the short and long-term indicate that in general more precise estimates of status and trends are obtained using this mixed strategy than a strategy in which all of the sample is retained or all selected with probability proportional to predicted abundance. Furthermore the mixed strategy is robust to poor predictions of abundance. Estimates of status are more precise than those obtained from a rotating panel design.

Effects of pramipexole on the processing of rewarding and aversive taste stimuli

Rationale: Pramipexole, a D2/D3 dopamine receptor agonist, has been implicated in the development of impulse control disorders in patients with Parkinson's disease. Investigation of single doses of pramipexole in healthy participants in reward-based learning tasks has shown inhibition of the neural processing of reward, presumptively through stimulation of dopamine autoreceptors. Objectives: This study aims to examine the effects of pramipexole on the neural response to the passive receipt of rewarding and aversive sight and taste stimuli. Methods: We used functional magnetic resonance imaging to examine the neural responses to the sight and taste of pleasant (chocolate) and aversive (mouldy strawberry) stimuli in 16 healthy volunteers who received a single dose of pramipexole (0.25 mg) and placebo in a double-blind, within-subject, design. Results: Relative to placebo, pramipexole treatment reduced blood oxygen level-dependent activation to the chocolate stimuli in the areas known to play a key role in reward, including the ventromedial prefrontal cortex, the orbitofrontal cortex, striatum, thalamus and dorsal anterior cingulate cortex. Pramipexole also reduced activation to the aversive condition in the dorsal anterior cingulate cortex. There were no effects of pramipexole on the subjective ratings of the stimuli. Conclusions: Our results are consistent with an ability of acute, low-dose pramipexole to diminish dopamine-mediated responses to both rewarding and aversive taste stimuli, perhaps through an inhibitory action of D2/3 autoreceptors on phasic burst activity of midbrain dopamine neurones. The ability of pramipexole to inhibit aversive processing might potentiate its adverse behavioural effects and could also play a role in its proposed efficacy in treatment-resistant depression.

Effectiveness of mobile apps in teaching field-based identification skills

It has been suggested that few students graduate with the skills required for many ecological careers, as field-based learning is said to be in decline in academic institutions. Here, we asked if mobile technology could improve field-based learning, using ability to identify birds as the study metric. We divided a class of ninety-one undergraduate students into two groups for field-based sessions where they were taught bird identification skills. The first group has access to a traditional identification book and the second group were provided with an identification app. We found no difference between the groups in the ability of students to identify birds after three field sessions. Furthermore, we found that students using the traditional book were significantly more likely to identify novel species. Therefore, we find no evidence that mobile technology improved students’ ability to retain what they experienced in the field; indeed, there is evidence that traditional field guides were more useful to students as they attempted to identify new species. Nevertheless, students felt positively about using their own smartphone devices for learning, highlighting that while apps did not lead to an improvement in bird identification ability, they gave greater accessibility to relevant information outside allocated teaching times.

A hybrid case adaptation approach for case-based reasoning

Case-Based Reasoning is a methodology for problem solving based on past experiences. This methodology tries to solve a new problem by retrieving and adapting previously known solutions of similar problems. However, retrieved solutions, in general, require adaptations in order to be applied to new contexts. One of the major challenges in Case-Based Reasoning is the development of an efficient methodology for case adaptation. The most widely used form of adaptation employs hand coded adaptation rules, which demands a significant knowledge acquisition and engineering effort. An alternative to overcome the difficulties associated with the acquisition of knowledge for case adaptation has been the use of hybrid approaches and automatic learning algorithms for the acquisition of the knowledge used for the adaptation. We investigate the use of hybrid approaches for case adaptation employing Machine Learning algorithms. The approaches investigated how to automatically learn adaptation knowledge from a case base and apply it to adapt retrieved solutions. In order to verify the potential of the proposed approaches, they are experimentally compared with individual Machine Learning techniques. The results obtained indicate the potential of these approaches as an efficient approach for acquiring case adaptation knowledge. They show that the combination of Instance-Based Learning and Inductive Learning paradigms and the use of a data set of adaptation patterns yield adaptations of the retrieved solutions with high predictive accuracy.

Design of associative memories using cellular neural networks

Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequate for hardware implementation and, consequently, for their employment on a variety of applications as real-time image processing and construction of efficient associative memories. Adjustments of CNN parameters is a complex problem involved in the configuration of CNN for associative memories. This paper reviews methods of associative memory design based on CNNs, and provides comparative performance analysis of these approaches.

Science is Primary - Children Thinking and Learning in theChemistry Laboratory

The goal of primary science education is to foster children’s interest, develop positive science attitudes and promote science process skills development. Learning by playing and discovering provides several opportunities for children to inquiry and understand science based on the first–hand experience. The current research was conducted in the children’s laboratory in Heureka, the Finnish science centre. Young children (aged 7 years) which came from 4 international schools did a set of chemistry experiments in the laboratory. From the results of the cognitive test, the pre-test, the post-test, supported by observation and interview, we could make the conclusion that children enjoyed studying in the laboratory. Chemistry science was interesting and fascinating for young children; no major gender differences were found between boys and girls learning in the science laboratory. Lab work not only encouraged children to explore and investigate science, but also stimulated children’s cognitive development.

Discourse strategies and power roles in student-led distance learning

The assertion of identity and power via computer-mediated communication in the context of distance or web-based learning presents challenges to both teachers and students. When regular, face-to-face classroom interaction is replaced by online chat or group discussion forums, participants must avail themselves of new techniques and tactics for contributing to and furthering interaction, discussion, and learning. During student-only chat sessions, the absence of teacher-led, face-to-face classroom activities requires the students to assume leadership roles and responsibilities normally associated with the teacher. This situation raises the questions of who teaches and who learns; how students discursively negotiate power roles; and whether power emerges as a function of displayed expertise and knowledge or rather the use of authoritative language. This descriptive study represents an examination of a corpus of task-based discussion logs among Vietnamese students of distance learning courses in English linguistics. The data reveal recurring discourse strategies for 1) negotiating the progression of the discussion sessions, 2) asserting and questioning knowledge, and 3) assuming or delegating responsibility. Power is defined ad hoc as the ability to successfully perform these strategies. The data analysis contributes to a better understanding of how working methods and materials can be tailored to students in distance learning courses, and how such students can be empowered by being afforded opportunities and effectively encouraged to assert their knowledge and authority.

Factors associated with evidence-based practice among registered nurses in Sweden : a national cross-sectional study

Background: Evidence-based practice (EBP) is emphasized to increase the quality of care and patient safety. EBP is often described as a process consisting of distinct activities including, formulating questions, searching for information, compiling the appraised information, implementing evidence, and evaluating the resulting practice. To increase registered nurses' (RNs') practice of EBP, variables associated with such activities need to be explored. The aim of the study was to examine individual and organizational factors associated with EBP activities among RNs 2 years post graduation. Methods: A cross-sectional design based on a national sample of RNs was used. Data were collected in 2007 from a cohort of RNs, included in the Swedish Longitudinal Analyses of Nursing Education/Employment study. The sample consisted of 1256 RNs (response rate 76%). Of these 987 RNs worked in healthcare at the time of the data collection. Data was self-reported and collected through annual postal surveys. EBP activities were measured using six single items along with instruments measuring individual and work-related variables. Data were analyzed using logistic regression models. Results: Associated factors were identified for all six EBP activities. Capability beliefs regarding EBP was a significant factor for all six activities (OR = 2.6 - 7.3). Working in the care of older people was associated with a high extent of practicing four activities (OR = 1.7 - 2.2). Supportive leadership and high collective efficacy were associated with practicing three activities (OR = 1.4 - 2.0). Conclusions: To be successful in enhancing EBP among newly graduated RNs, strategies need to incorporate both individually and organizationally directed factors.

Role of headmasters, teachers and supervisors in knowledge transfer about occupational health and safety to pupils in vocational education

Background Young people are at an increased risk for illness in working life. The authorities stipulate certain goals for training in occupational health and safety (OHS) in vocational schools. A previous study concluded that pupils in vocational education had limited knowledge in the prevention of health risks at work. The aim of the current study, therefore, was to study how OHS training is organized in school and in workplace-based learning (WPL).   Method The study design featured a qualitative approach, which included interviews with 12 headmasters, 20 teachers, and 20 supervisors at companies in which the pupils had their WPL. The study was conducted at 10 upper secondary schools, located in Central Sweden, that were graduating pupils in four vocational programs.   Result The interviews with headmasters, teachers, and supervisors indicate a staggered picture of how pupils are prepared for safe work. The headmasters generally give teachers the responsibility for how goals should be reached. Teaching is very much based on risk factors that are present in the workshops and on teachers’ own experiences and knowledge. The teaching during WPL also lacks the systematic training in OHS as well as in the traditional classroom environment.   Conclusion Teachers and supervisors did not plan the training in OHS in accordance with the provisions of systematic work environment management. Instead, the teachers based the training on their own experiences. Most of the supervisors did not get information from the schools as to what should be included when introducing OHS issues in WPL.

Designing single event upset mitigation techniques for large SRAM-Based FPGA components

This thesis presents the study and development of fault-tolerant techniques for programmable architectures, the well-known Field Programmable Gate Arrays (FPGAs), customizable by SRAM. FPGAs are becoming more valuable for space applications because of the high density, high performance, reduced development cost and re-programmability. In particular, SRAM-based FPGAs are very valuable for remote missions because of the possibility of being reprogrammed by the user as many times as necessary in a very short period. SRAM-based FPGA and micro-controllers represent a wide range of components in space applications, and as a result will be the focus of this work, more specifically the Virtex® family from Xilinx and the architecture of the 8051 micro-controller from Intel. The Triple Modular Redundancy (TMR) with voters is a common high-level technique to protect ASICs against single event upset (SEU) and it can also be applied to FPGAs. The TMR technique was first tested in the Virtex® FPGA architecture by using a small design based on counters. Faults were injected in all sensitive parts of the FPGA and a detailed analysis of the effect of a fault in a TMR design synthesized in the Virtex® platform was performed. Results from fault injection and from a radiation ground test facility showed the efficiency of the TMR for the related case study circuit. Although TMR has showed a high reliability, this technique presents some limitations, such as area overhead, three times more input and output pins and, consequently, a significant increase in power dissipation. Aiming to reduce TMR costs and improve reliability, an innovative high-level technique for designing fault-tolerant systems in SRAM-based FPGAs was developed, without modification in the FPGA architecture. This technique combines time and hardware redundancy to reduce overhead and to ensure reliability. It is based on duplication with comparison and concurrent error detection. The new technique proposed in this work was specifically developed for FPGAs to cope with transient faults in the user combinational and sequential logic, while also reducing pin count, area and power dissipation. The methodology was validated by fault injection experiments in an emulation board. The thesis presents comparison results in fault coverage, area and performance between the discussed techniques.

Processo alternativo de catch-up em indústrias intensivas em recursos naturais: uma análise empírica da trajetória tecnológica da indústria de bioetanol de cana-de-açúcar no Brasil

Esta tese diz respeito ao desenvolvimento tecnológico e inovação em indústrias intensivas em recursos naturais no contexto de economias emergentes. A tese explora como a acumulação de capacidades tecnológicas e os mecanismos de aprendizagem influenciaram a trajetória tecnológica na indústria de bioetanol de cana-de-açúcar no Brasil, durante o período de meados da década de 1970 a 2014. Muito se avançou na compreensão do processo de catch-up tecnológico de empresas e indústrias de economias emergentes. Contudo, essas pesquisas geralmente exploram o processo de catch-up tecnológico relacionado às trajetórias tecnológicas já mapeadas pelos líderes mundiais em indústrias de manufatura e transformação. Parte desses estudos ignora que o desenvolvimento de atividades industriais poderia ocorrer em indústrias intensivas em recursos naturais. Além disso, indústrias intensivas em recursos naturais são geralmente encapsuladas como commodities e low-tech, caracterizadas por uma limitada oportunidade de aprendizagem tecnológica e acumulação de capacidades tecnológicas. Entretanto, o processo de industrialização em indústrias intensivas em recursos naturais em regiões como a América Latina ainda é pouco compreendido e são escassas as pesquisas que investigam o processo de catch-up tecnológico em nível de indústria, com raras exceções. Baseando-se em evidências da indústria de bioetanol do Brasil, esta pesquisa explora um processo de catch-up tecnológico que tem recebido pouca atenção na literatura. Esta pesquisa adotou um desenho qualitativo com base em uma estratégia de estudo de caso em nível de indústria, com extensivo trabalho de campo e coleta de evidências empíricas de primeira mão com cobertura de longo prazo em 20 organizações. Esta pesquisa encontrou que: (1) a evolução da trajetória tecnológica da indústria de bioetanol no Brasil caracterizou-se pela abertura de uma direção distinta daquela mapeada por líderes tecnológicos existentes. Esse processo de desvio qualitativo da trajetória tecnológica dominante iniciou durante os primeiros estágios de desenvolvimento tecnológico. Assim, a indústria percorreu uma trajetória de entrada precoce em path-creating; (2) a evolução dessa trajetória tecnológica não se deu de maneira homogenia. Foram encontrados três padrões relativamente distintos de acumulação de capacidades tecnológicas para funções (ou áreas) tecnológicas específicas: feedstock, processos agrícolas e processos industriais. Nas funções de feedstock e processos industriais, houve acumulação de capacidades tecnológicas de liderança mundial, enquanto na função processos agrícolas a acumulação de capacidades tecnológicas não evoluiu além do nível intermediário; (3) essas capacidades foram acumuladas de forma dispersa entre os atores da indústria (empresas produtoras, institutos de pesquisa, universidades, fornecedores, empresas de biotecnologia etc.) e possibilitaram a abertura de oportunidades de exploração de novos negócios, ainda que modestamente aproveitadas; e (4) a sutil heterogeneidade encontrada nos padrões de acumulação de capacidades tecnológicas foi influenciada pela combinação de mecanismos de aprendizagem tecnológica utilizados pela indústria ao longo do tempo. Por fim, constatou-se também que essa trajetória tecnológica contribuiu para gerar implicações significativas e foi também influenciada por fatores outros. Não obstante, esses resultados merecem esforço de investigação mais sistemático, uma vez que foram examinados aqui de forma superficial. Concluiu-se, portanto, que posições tecnológicas relevantes, especialmente por indústrias de economias emergentes, podem ser alcançadas por meio de trajetórias tecnológicas que não se baseiam, necessariamente, em tecnologias dominantes, já exploradas por líderes mundiais, de economias avançadas. Assim, os processos alternativos de catch-up podem ser altamente relevantes para a obtenção de progresso industrial. Ademais, a pesquisa concluiu que as indústrias intensivas em recursos naturais oferecem oportunidades para inovações significativas, e podem ser protagonistas nesse processo de catch-up alternativo, particularmente no contexto de países abundantes em recursos naturais. Assim sendo, esta pesquisa contribui para gerar novas evidências e explicações que nos ajudem a ampliar a noção de alternativas para o desenvolvimento industrial e econômico no contexto de economias emergentes. No debate sobre desenvolvimento industrial e econômico, as trajetórias tecnológicas alternativas, bem como as indústrias intensivas em recursos naturais, deveriam receber uma atenção especial por parte de decisores de políticas públicas e de ações empresariais.

Contribuição à mudança curricular na graduação da Faculdade de Medicina de Botucatu

Descreve-se a inovação pedagógica de dois casos na graduação médica: uma matéria denominada Saúde Coletiva III, com (Administração, Ciências Sociais, Epidemiologia, Ética e Nutrição em Saúde Publica) e a disciplina de Semiologia Pediátrica. Para descrição e avaliação dos casos, utilizaram-se métodos qualitativos. A Saúde Coletiva III foi organizada por núcleos temáticos: Problemas em Saúde Publica; Nutrição em Saúde Publica; Planejamento em Saúde. O modelo de ensino centrou-se na problematização de situações vivenciadas na prática da Saúde Publica, trabalhando-se em centros, serviços e organizações de saúde. A Semiologia Pediátrica privilegiou a atenção integral à saúde da criança. O modelo de ensino centrou-se na aprendizagem baseada em problemas e no aprendizado prático da semiologia pediátrica em diferentes cenários, enfatizando-se o ensino ambulatorial. Privilegiou-se o trabalho em pequenos grupos, com a orientação docente. A principal missão voltou-se à utilização de estratégias que valorizassem o ensino centrado no estudante e sua capacidade de construir conhecimento com autonomia. No caso da Pediatria, avançou-se rumo a Medicina Integral, com enfoque amplo do modelo de atenção à criança. A Saúde Coletiva aproximou-se da Medicina Comunitária problematizando situações concretas no SUS e na atenção primária. O estudo mostra a possibilidade de inovação no ensino, e podendo contribuir para a mudança institucional.

As contribuições do design instrucional na elaboração de ambiente de aprendizagem para a TV digital interativa

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Aprendizado baseado em problemas, um novo conceito para a formação do designer e a sustentabilidade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Projeto Rived: um estudo de caso de uma equipe de matemática

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)