Presence-absence versus abundance data for monitoring threatened species

Effective detection of population trend is crucial for managing threatened species. Little theory exists, however, to assist managers in choosing the most cost-effective monitoring techniques for diagnosing trend. We present a framework for determining the optimal monitoring strategy by simulating a manager collecting data on a declining species, the Chestnut-rumped Hylacola (Hylacola pyrrhopygia parkeri), to determine whether the species should be listed under the IUCN (World Conservation Union) Red List. We compared the efficiencies of two strategies for detecting trend, abundance, and presence-absence surveys, underfinancial constraints. One might expect the abundance surveys to be superior under all circumstances because more information is collected at each site. Nevertheless, the presence-absence data can be collected at more sites because the surveyor is not obliged to spend a fixed amount of time at each site. The optimal strategy for monitoring was very dependent on the budget available. Under some circumstances, presence-absence surveys outperformed abundance surveys for diagnosing the IUCN Red List categories cost-effectively. Abundance surveys were best if the species was expected to be recorded more than 16 times/year; otherwise, presence-absence surveys were best. The relationship between the strategies we investigated is likely to be relevant for many comparisons of presence-absence or abundance data. Managers of any cryptic or low-density species who hope to maximize their success of estimating trend should find an application for our results.

Supplementary Eye Fields

The supplementary eye fields (SEFs) are located in dorsomedial frontal cortex and contribute to high-level control of eye movements. Recordings in the SEF reveal neural activity related to vision, saccades, and fixations, and electrical stimulation in the SEF evokes saccades and fixations. Inactivations and lesions of the SEF, however, cause minimal oculomotor deficits. The SEF thus processes information relevant to eye movements and influences critical oculomotor centers but seems unnecessary for generating action. Instead, the SEF has overarching, subtle functions that include limb-eye coordination, the timing and sequencing of actions, learning, monitoring conflict, prediction, supervising behavior, value-based decision making, and the monitoring of decisions.

Supplementary Eye Fields

The supplementary eye fields (SEFs) are located in dorsomedial frontal cortex and contribute to high-level control of eye movements. Recordings in the SEF reveal neural activity related to vision, saccades, and fixations, and electrical stimulation in the SEF evokes saccades and fixations. Inactivations and lesions of the SEF, however, cause minimal oculomotor deficits. The SEF thus processes information relevant to eye movements and influences critical oculomotor centers but seems unnecessary for generating action. Instead, the SEF has overarching, subtle functions that include limb-eye coordination, the timing and sequencing of actions, learning, monitoring conflict, prediction, supervising behavior, value-based decision making, and the monitoring of decisions.

O empreendedorismo e a inovação como fatores de sucesso nas pequenas e médias empresas

Mestrado em Gestão e Empreendedorismo

A contribution to semantic description of images and videos: an application of soft biometrics

Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.

Development and validation of the team learning questionnaire

Nowadays the organizational scenario is changing in several aspects that affect organization commitment. Team learning construct has emerged as a tool to deal with these changes and the dynamic nature of this situation. Although team learning has acquired importance in recent years, instruments to measure team learning should be developed. The aim of this paper is to develop and validate a team learning scale, the Team Learning Questionnaire, attending to four dimensions of team learning: Continued Improvement Seeking, Dialogue Promotion and Open Communication, Collaborative Learning, and Strategic and Proactive Leadership that Promote Learning. Results provide evidence of the reliability and validity of the scale.

Contributos da avaliação exterrna em dois agrupamentos do Alentejo

O presente trabalho de investigação teve como ponto de partida a questão "O contrato de autonomia representa ou não uma mais-valia no processo de desenvolvimento da organização escola?'; assumindo esta o eixo central deste trabalho: "Contributos da Avaliação Externa em dois Agrupamentos do Alentejo'’. Neste sentido, foram definidas algumas hipóteses de trabalho: em termos de visão/estratégia procurámos verificar se uma liderança forte, com objetivos definidos e hierarquizados, apresentando uma nova forma de gerir o currículo, provocará na escola uma maior aptidão para atingir as metas estabelecidas; quanto à motivação/empenho, se os órgãos de gestão da escola assumirem o processo de decisão e se responsabilizarem pelo mesmo, este facto constituirá uma mais-valia para a escola de modo a alcançar as metas propostas; no que concerne ao campo da inovação, procurámos constatar se a escola procura novos caminhos, novas soluções, facto esse que motivará o seu reconhecimento pela excelência; por último as parcerias e projetos, ou seja verificar se a existência de parcerias cativas e outras formas de associação favorecem o projeto de autonomia da escola. No que concerne ao estudo empírico, optámos por uma metodologia que privilegiou o estudo qualitativo dos dados apurados. Após apresentação dos dados recolhidos, da respetiva análise e interpretação, emitimos as nossas conclusões, entre as quais o facto da avaliação externa ter sido um facto de mudança na vida dos dois agrupamentos. Quer seja como fator de mudança e motivação para o crescimento do agrupamento como um todo, quer seja como fator de união de um agrupamento, trazendo à luz do dia as virtudes e os constrangimentos, encontrando soluções e caminhos através de um projeto de autonomia que se tornou um símbolo de todos. ABSTRACT: This work of investigation had as a starting point whether the question "The autonomy of schools becomes or not a better value in the development of the school organization?" being in the central issue of this thesis - "The contribution of externa! evaluation in two school groups from Alentejo". ln this sense, some hypothesis were defined: concerning vision/strategy we dryed to verify if a strong leadership with defined and hierarchyed objectives demonstrating new ways of managing the curriculum makes the school more capable of reaching the pre-established goals; concerning motivation/commitment, if the school management assumes the process of decision and take responsibility for it, will this be a best value for the school, in order to achieve their goal; relating to innovation, we try to establish if the school demands new ways, new solutions, bringing recognition "par excellence"; finally partnerships and projects, which intends to verify if the existence of active partnerships and others forms of association, would benefit the autonomy of the school. ln what concerns the empirical study we decided to choose a methodology which benefited the qualitative of gathered data. After the presentation of the collected results, its analysis and interpretation, we came to the conclusion, among others, that the external evaluation had been a drive for change in the two school groups. Whether as a factor of change and motivation for the development of the whole group, as well as a factor of union, bringing up the virtues and the mistakes, finding solutions and new ways through a project of autonomy which became a reference for everyone.

Un aporte a la comprensión de las estrategias emergentes en las organizaciones a través del concepto de improvisación y la metáfora musical

Este trabajo se inscribe en uno de los grandes campos de los estudios organizacionales: la estrategia. La perspectiva clásica en este campo promovió la idea de que proyectarse hacia el futuro implica diseñar un plan (una serie de acciones deliberadas). Avances posteriores mostraron que la estrategia podía ser comprendida de otras formas. Sin embargo, la evolución del campo privilegió en alguna medida la mirada clásica estableciendo, por ejemplo, múltiples modelos para ‘formular’ una estrategia, pero dejando en segundo lugar la manera en la que esta puede ‘emerger’. El propósito de esta investigación es, entonces, aportar al actual nivel de comprensión respecto a las estrategias emergentes en las organizaciones. Para hacerlo, se consideró un concepto opuesto —aunque complementario— al de ‘planeación’ y, de hecho, muy cercano en su naturaleza a ese tipo de estrategias: la improvisación. Dado que este se ha nutrido de valiosos aportes del mundo de la música, se acudió al saber propio de este dominio, recurriendo al uso de ‘la metáfora’ como recurso teórico para entenderlo y alcanzar el objetivo propuesto. Los resultados muestran que 1) las estrategias deliberadas y las emergentes coexisten y se complementan, 2) la improvisación está siempre presente en el contexto organizacional, 3) existe una mayor intensidad de la improvisación en el ‘como’ de la estrategia que en el ‘qué’ y, en oposición a la idea convencional al respecto, 4) se requiere cierta preparación para poder improvisar de manera adecuada.

Computer-based monitoring platform for renewable energy systems: Four experimental application cases using NI LabVIEW

Sustainability and responsible environmental behaviour constitute a vital premise in the development of the humankind. In fact, during last decades, the global energetic scenario is evolving towards a scheme with increasing relevance of Renewable Energy Sources (RES) like photovoltaic, wind, biomass and hydrogen. Furthermore, hydrogen is an energy carrier which constitutes a mean for long-term energy storage. The integration of hydrogen with local RES contributes to distributed power generation and early introduction of hydrogen economy. Intermittent nature of many of RES, for instance solar and wind sources, impose the development of a management and control strategy to overcome this drawback. This strategy is responsible of providing a reliable, stable and efficient operation of the system. To implement such strategy, a monitoring system is required.The present paper aims to contribute to experimentally validate LabVIEW as valuable tool to develop monitoring platforms in the field of RES-based facilities. To this aim, a set of real systems successfully monitored is exposed.

Deep learning models for the automatic analysis of volleyball plays

Collecting and analysing data is an important element in any field of human activity and research. Even in sports, collecting and analyzing statistical data is attracting a growing interest. Some exemplar use cases are: improvement of technical/tactical aspects for team coaches, definition of game strategies based on the opposite team play or evaluation of the performance of players. Other advantages are related to taking more precise and impartial judgment in referee decisions: a wrong decision can change the outcomes of important matches. Finally, it can be useful to provide better representations and graphic effects that make the game more engaging for the audience during the match. Nowadays it is possible to delegate this type of task to automatic software systems that can use cameras or even hardware sensors to collect images or data and process them. One of the most efficient methods to collect data is to process the video images of the sporting event through mixed techniques concerning machine learning applied to computer vision. As in other domains in which computer vision can be applied, the main tasks in sports are related to object detection, player tracking, and to the pose estimation of athletes. The goal of the present thesis is to apply different models of CNNs to analyze volleyball matches. Starting from video frames of a volleyball match, we reproduce a bird's eye view of the playing court where all the players are projected, reporting also for each player the type of action she/he is performing.

Dataset Fusion application on deep learning Object Detection task

Application of dataset fusion techniques to an object detection task, involving the use of deep learning as convolutional neural networks, to manage to create a single RCNN architecture able to inference with good performances on two distinct datasets with different domains.

Novos registros e potencial epidemiológico de algumas espécies de mosquitos (Diptera, Culicidae), no Estado do Rio Grande do Sul

INTRODUÇÃO: A vigilância entomológica tem se mostrado uma importante estratégia de monitoramento da fauna de culicídeos com vistas a predizer o risco de exposição a espécies vetoras de patógenos. Esse trabalho apresenta uma lista de mosquitos identificados pela primeira vez no Rio Grande do Sul e discute o potencial epidemiológico de algumas espécies ocorrentes no Município de Maquiné com registros em outras regiões do Estado. MÉTODOS: Os mosquitos foram coletados com aspirador de Nasci e armadilhas CDC, entre dezembro de 2006 e dezembro de 2008, em área silvestre, rural e urbana do Município de Maquiné. RESULTADOS: Foram verificadas 55 espécies, das quais 22 são registradas pela primeira vez no estado e 10 são potencialmente vetoras do vírus Saint Louis, Oropouche, Aura, Trocara, Ilhéus, Rocio, Una, West Nile e encefalite equina do leste. CONCLUSÕES: Esses dados demonstram a importância da Vigilância Entomológica como ferramenta de informação e ação para a Vigilância em Saúde.

Capital humano, medir para gerir: a utilização do balanced scorecard

Perante os contínuos desafios com que se defrontam as organizações, consequência dos elevados níveis de competitividade, é-lhes exigido uma nova dinâmica de gestão, onde os recursos humanos se assumem como o seu principal elemento diferenciador. Neste contexto, é fundamental a existência de uma gestão estratégica dos recursos humanos, a institucionalização de um conjunto de práticas que permitam transformar os recursos humanos num activo estratégico, que conduza à execução da estratégia organizacional. Essas práticas passam pela atracção e retenção de talentos, oportunidades de desenvolvimento, propiciar boas condições de trabalho quer a nível quantitativo quer a nível qualitativo. E como cada pessoa é um ser único, dotado de características próprias, impossíveis de imitar, deve ser reconhecida a capacidade de serem uma fonte de vantagem competitiva. Não é suficiente o estabelecimento de um conjunto de boas práticas para que se possuam recursos humanos estratégicos. É fundamental fazer o acompanhamento dessas práticas através da monitorização. Na gestão o que não pode ser medido não pode ser gerido. É fundamental sensibilizar os gestores, profissionais de recursos humanos, para a criação de sistemas de medida e métricas que possam aferir a contribuição do Capital Humano para a missão e estratégia das organizações. O Balanced Scorecard é uma ferramenta de gestão que possibilita, através da informação dos seus indicadores, a implementação das estratégias nas organizações. A finalidade é garantir que os indicadores definidos estejam coerentes com a estratégia global. Essa metodologia tem assim o mérito de compatibilizar (através de indicadores quantitativos) a gestão de recursos humanos com os objectivos a longo prazo da organização. A existência de indicadores qualitativos permite ainda às organizações mensurar o nível de desempenho e motivação, factores influentes no clima organizacional

A organização do espaço: o seu impacto na aprendizagem das crianças

Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

Key performance indicators and the balanced scorecard at the Luxury Brand Hotels of Pestana Group

Traditional approaches to evaluate performance in hotels, have mainly used financial measures. Building on Speckbacher et al. (2003), this Work Project aims to design and propose a Balanced Scorecard Type II as a performance measurement/management system for the hospitality industry based on data collected at the Luxury Brand Hotels of Pestana Group. The main contribution is to better align the vision, strategy and financial and non-financial performance measures in this category of hotels, in particular those of Pestana Group, and by doing so, lead their managers to focus on what is really critical and, consequently improve the overall performance.