THERMAL EFFICIENCY OF INDIVIDUAL SHELTERS FOR GIROLANDO CALVES IN BRAZILIAN SEMI-ARID REGIONS

The objective of this research was to evaluate the thermal efficiency of roofs used on individual shelters during milk-feeding stage of Girolando calves. The research was conducted at a farm located in a dry region of Pernambuco state, Brazil. The experimental design was completely randomized, with 27 Holstein × Gir dairy crossbred calves housed in shelters with three roofing materials (fibre cement tile, recycled tile, and thatched roofs). The recycled tiles and thatched roofs provided reductions of 18.7 and 14.6% in radiant thermal load, respectively. Regardless the roofing material, all animals increased their respiratory rate to maintain thermal equilibrium.

Inventário Nacional de Mortalidade de Azinheira na Fotografia Aérea Digital de 2004/2006

O presente estudo completa o 1.º inventário de árvores mortas e de grau de coberto na fotografia aérea digital de 2004-2006 para o sobreiro (Ribeiro e Surový, 2008) e azinheira para a área abrangida pela NUTS III: Alentejo Central; Alto Alentejo, Baixo Alentejo, Alentejo Litoral, Algarve, Médio Tejo, Lezíria do Tejo, Beira Baixa e Área Metropolitana de Lisboa. Os resultados deste estudo sincrónico são de particular utilidade para o conhecimento não só da distribuição como da intensidade dos eventos de declínio e, se repetido para outro conjunto de fotografias aéreas de anos posteriores, poderá fornecer informações relevantes e precisas não só da dinâmica do declínio, como do grau de coberto, permitindo uma definição de políticas florestais com um grau de eficiência espacial muito elevado. As metodologias e as aplicações informáticas desenvolvidas, se sistematizadas, podem servir para construir um sistema de monitorização em tempo real de grande utilidade para a avaliação e planeamento dos recursos florestais como da eficiência das políticas florestais. Finalmente, é importante referir que este estudo não teria sido possível de realizar sem a iniciativa do Instituto da Conservação da Natureza e das Florestas que através da visão estratégica do Eng.º Francisco Lopes e do Eng.º Fernando Coucelo identificaram as competências instaladas na Universidade de Évora e iniciaram os procedimentos de financiamento do inventário da mortalidade para o sobreiro e mais tarde para a azinheira.

Cork oak transplant: A new reality? A Physiological Approach to maximize sucess rate.

Cork oak tree (Quercus suber L.), in Portugal, is considered the national tree and have special demands and legal protection when dealing with silviculture management (pruning, debarking, thinning). Being a species of slow growth, cork oak transplanting procedures can be a valuable asset either from the economic or ecological rationales to relocate trees, re-populate areas affected by high tree mortality, increase tree density to control erosion on montado ecosystems or landscape design. This study focuses the impacts and physiological responses of ten juvenile rain fed cork oak trees (with diameter at breast height between 6 and 16cm), when subjected to transplant operations. The work was conducted in a cork oak woodland experimental plot at the campus of the University of Évora (SW Portugal), during the year of 2015. Tree’s transplants were performed with a truck-mounted hydraulic spade transplanter coupled with a proposed methodology to maximize tree survival rates, addressing techniques to limit canopy transpiration and to improve root systems prior to transplant. Tree ecophysiological indicators (sap flow, leaf water potentials and stomatal conductance) were monitored comprising the periods before and after transplant operations, and water stress avoidance practices were established to promote post-transplant tree status recovery, including irrigation to match average daily accumulated sap flow. Transplant operations were considered successful when the tree's water uptake inferred from sap flow exhibited a high correlation with solar radiation and returned to its undisturbed or pre-transplant water potential gradients in the following 2 to 3 weeks. The post-transplant tree nourishment follow up included permanent sap flow measurements and identified the time elapsed after transplantation from which the tree recovers its normal transpiration thresholds and response. Our results suggest that by following the proposed methodology the sampled cork oak trees exhibited a transplant success rate of 90%.

Using syntactic and semantic features for classifying mo- dal values in the portuguese language

This paper presents a study made in a field poorly explored in the Portuguese language – modality and its automatic tagging. Our main goal was to find a set of attributes for the creation of automatic tag- gers with improved performance over the bag-of-words (bow) approach. The performance was measured using precision, recall and F1. Because it is a relatively unexplored field, the study covers the creation of the corpus (composed by eleven verbs), the use of a parser to extract syntac- tic and semantic information from the sentences and a machine learning approach to identify modality values. Based on three different sets of attributes – from trigger itself and the trigger’s path (from the parse tree) and context – the system creates a tagger for each verb achiev- ing (in almost every verb) an improvement in F1 when compared to the traditional bow approach.

Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016

This paper presents our approach of identifying the profile of an unknown user based on the activities of known users. The aim of author profiling task of PAN@CLEF 2016 is cross-genre identification of the gender and age of an unknown user. This means training the system using the behavior of different users from one social media platform and identifying the profile of other user on some different platform. Instead of using single classifier to build the system we used a combination of different classifiers, also known as stacking. This approach allowed us explore the strength of all the classifiers and minimize the bias or error enforced by a single classifier.