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Papers by Marcos Vinicius

REcently searching good tips for writing tech papers in English, I found this great paper as guid... more REcently searching good tips for writing tech papers in English, I found this great paper as guideline for a good job.

Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, 2002

The aim of the present was to estimate the above-ground biomass and nutrient content of different... more The aim of the present was to estimate the above-ground biomass and nutrient content of different components of Eucalyptus globulus subspecie maidenii trees. Data were collected in a four year old plantation on clay soil in the town of Butiá, Rio Grande do Sul. A regression equation (lnY = a + b* lnX), was used to estimate biomass production whose

Biomass and organic carbon estimate was carried out in 21-, 22- and 23-year-old Pinus taeda plant... more Biomass and organic carbon estimate was carried out in 21-, 22- and 23-year-old Pinus taeda plantations at Pedro N. Pizzato Industries Inc., located in General Carneiro, PR. Sampling units of different sizes were evaluated to estimate arboreal and arbustive vegetation biomass (subwood), dead biomass (accumulated litter) and underground biomass (roots). Total biomass average production (above and below the soil) was

The present aimed to determine the nutritional efficiency of the micronutrient (Mn, B, Cu, Zn e F... more The present aimed to determine the nutritional efficiency of the micronutrient (Mn, B, Cu, Zn e Fe) and Na, in the different tree components of three provenances of black wattle ( Acacia mearnsii), 2.4 years old, planted in the municipality of Butiá-RS (Brazil). The selected Australian provenances were Lake George, Bodalla and Batemans Bay. A large variation was found in

The above-ground biomass of the Australian provenance Batemans Bay of black wattle (Acacia mearns... more The above-ground biomass of the Australian provenance Batemans Bay of black wattle (Acacia mearnsii De Wild.), at 2.4 years after planting was quantified. The provenance was established in soils of low fertility, with high acidity, at Fazenda Menezes, District of Capão Comprido, County of Butiá/RS. Nine trees were selected to form a sample. The destructive sampling comprised the individualization of

The objective of this study was to quantify biomass and accumulated nutrients in the different co... more The objective of this study was to quantify biomass and accumulated nutrients in the different components (leaves, live branches, dead branches, bark and wood) and litter of Eucalyptus grandis. The work was carried out in a 9-year-old stand of Eucalyptus grandis on a sandy site with low fertility near the village of Alegrete in the federal state of Rio Grande

Background: With coronary disease on the rise worldwide, it is increasingly important to ensure t... more Background: With coronary disease on the rise worldwide, it is increasingly important to ensure the feasibility of coronary artery bypass grafts in order to boost the survival rates and enhance the quality of life of elderly coronary patients. Objective: To present the immediate outcomes of isolated coronary artery bypass grafts in patients ≥70 years.

Background: The application of the EuroSCORE system to valve replacement patients is important fo... more Background: The application of the EuroSCORE system to valve replacement patients is important for ascertaining the mortality risk. Objectives: To assess the current profiles of valve replacement patients at the Hospital Escola Álvaro Alvim teaching hospital, ascertaining the expected mortality risk in this group through applying the European system for cardiac operative risk evaluation (EuroSCORE).

The present study aimed at evaluating the development of inoculated or noninoculated seedlings wi... more The present study aimed at evaluating the development of inoculated or noninoculated seedlings with mycorrhizal fungi. The experimental design used was completely randomized, with 4 treatments and 25 replacements. The treatments were: Glomus clarum (Nicolson & Schenk),

Background: Increased life expectancy gives rise to the need for a better analysis of the conditi... more Background: Increased life expectancy gives rise to the need for a better analysis of the conditions and outcomes of patients undergoing heart surgery. Objective: To compare and analyze the immediate outcomes of using the left internal thoracic artery in among people aged <70 years and ≥70 years. Methods: 131 patients were analyzed, of whom 48 (39.98%) were aged ≥70 years

Background: Increased life expectancy results in a higher number of elderly patients requiring ca... more Background: Increased life expectancy results in a higher number of elderly patients requiring cardiovascular surgery. Objective: To assess the immediate results for elderly patients undergoing heart surgery. Methods: A retrospective analysis was conducted of 101 patients aged ≥70 years, undergoing heart surgery at the Álvaro Alvim Teaching Hospital between 2004 and 2008, analyzing the immediate results, whose ages varied between 70 and 85 years, with 32 (33.6%) female and 69 (66.4%) male. The most common symptoms were: angina in 75 patients (74.2%) and syncope in 8 (7.9%). The patients were grouped as Class I − 59 (58.4%); Class II − 22 (21.8%); Class III − 15 (14.8%); and Class IV − 5 (4.9%) of NYHA, with 55 (54.4%) of them being hypertensive; 42 (41.6%) smokers and 21 (20.8%) diabetics. A total of 73 (72.3%) myocardial revascularizations were performed, and 12 (11.9%) aortic valve replacements. The main cardiovascular complications were: superventricular arrhythmia n=16 (15.8%) a...

Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, 2002

Nowadays, email is one of the most popular forms of communication, mainly due to its efficiency a... more Nowadays, email is one of the most popular forms
of communication, mainly due to its efficiency
and low cost. In order to explore potential in-
formations in emailing, various data mining tech-
niques have been applied on email data. Cluster-
ing emails into smaller groups according to their
inherent similarity, facilitates discovering discrim-
inant informations in order to analyze the emails
distributions. In this work, we explore some ideas
of data mining using a variation of K-means clus-
tering approach on emails. We use a dataset of
19,924 emails to evaluate our performance. A
study about PCA approach for this task is also pre-
sented, in order to reduce the dimensionality of the
feature vectors.

CIFAR-10 (4) is a dataset of 60,000 images be- longing to 10 classes. The challenge is to build a... more CIFAR-10 (4) is a dataset of 60,000 images be- longing to 10 classes. The challenge is to build a model that are able to predict the correct class of a given image, with low level of error. In this work, we explore some ideas of models to deal with this task. These models are based on variations of two main methods: Logistic Regression and Artificial Neural Networks (ANNs). With the best parame- ters, our 2-layer Neural Network achieve ≈63.0% accuracy on test set.

Release Year Prediction using Linear and Polynomial Models

Resumo Este relatório apresenta uma pesquisa sobre os 10 computadores mais poderosos dis-poníveis... more Resumo Este relatório apresenta uma pesquisa sobre os 10 computadores mais poderosos dis-poníveis atualmente. A informação usada para este estudo são de uma lista divulgada pelo top500.org em Novembro. Este relatório tem o objetivo de descrever as principais características, como localização, núcleos, Pico Real, Memória, Processadores, etc., de cada um dos supercomputadores mais poderosos disponíveis. Além disso, descrevemos alguns dados históricos importantes relacionados a cada um deles juntamente com o atual emprego dos mesmos. Introdução A computação de alto desempenho agora sustenta a ciência de primeira classe em todas as disciplinas e ´ e uma ferramenta essencial para a indústria, encurtando os ciclos de desen-volvimento, ao mesmo tempo em que melhora a confiabilidade ea qualidade dos produtos. Os supercomputadores podem ser datados dos anos 60, mas só recentemente que seu vasto poder de processamento começou a ser aproveitado pela indústria e pelo comércio, para pro-jetar carros mais seguros, construir aviões mais silenciosos, acelerar a descoberta de drogas e subjugar a volatilidade dos mercados financeiros .