Essential Oil from Leaves and Stem Bark of Southeastern Drimys brasiliensis Miers (Winteraceae)

The chemical composition of essential oils obtained from fresh leaves and stem bark of Southeastern Brazilian native Drimys brasiliensis Miers were analyzed by GC and GC/MS and 37 compounds were identified. The oils from fresh leaves showed the presence of monoterpenes (53.9%) and sesquiterpenes (38.4%), with sabinene (9.5%), myrcene (10.5%), limonene (10.6%) and cyclocolorenone (16.0%) being the most abundant. The stern bark oil was characterized by predominance of sesquiterpenoids (87.6%) and the absence of monoterpenes, the main components being cyclocolorenone (28.3%) and spathuleneol (22.9%). A small amount of phenylpropanes (6.8-6.9%) was also detected in both oil samples.

Alkaloids from the Bark of Guatteria hispida and Their Evaluation as Antioxidant and Antimicrobial Agents

Phytochemical investigation of the bark of Guatteria hispida afforded three new alkaloids, 9-methoxy-O-methylmoschatoline (1), 9-methoxyisomoschatoline (2), and isocerasonine (3), along with 10 known alkaloids, 8-oxopseudopalmatine (4), O-methylmoschatoline (5), lysicamine (6), liriodenine (7), 10-methoxyliriodenine (8), nornuciferine (9), anonaine (10), xylopine (11), coreximine (12), and isocoreximine (13). The major compounds, 2, 6, 12, and 13, showed significant antioxidant capacity in the ORAC(FL), assay. Compounds 5, 6, and 7 were active against S. epidermidis and C. dubliniensis, with MIC values in the range 12.5-100 mu g mL(-1).

Proteomic analysis reveals suppression of bark chitinases and proteinase inhibitors in citrus plants affected by the citrus sudden death disease

Citrus sudden death (CSD) is a disease of unknown etiology that greatly affects sweet oranges grafted on Rangpur lime rootstock, the most important rootstock in Brazilian citriculture. We performed a proteomic analysis to generate information related to this plant pathogen interaction. Protein profiles from healthy, CSD-affected and CSD-tolerant stem barks, were generated using two-dimensional gel electrophoresis. The protein spots were well distributed over a pI range of 3.26 to 9.97 and a molecular weight (MW) range from 7.1 to 120 kDa. The patterns of expressed proteins on 2-DE gels made it possible to distinguish healthy barks from CSD-affected barks. Protein spots with MW around 30 kDa and pI values ranging from 4.5 to 5.2 were down-regulated in the CSD-affected rootstock bark. This set of protein spots was identified as chitinases. Another set of proteins, ranging in pI from 6.1 to 9.6 with an MW of about 20 kDa, were also suppressed in CSD-affected rootstock bark; these were identified as miraculin-like proteins, potential trypsin inhibitors. Downregulation of chitinases and proteinase inhibitors in CSD-affected plants is relevant since chitinases are well-known pathogenesis-related protein, and their activity against plant pathogens is largely accepted.

Vedegenskaper i härskande och behärskade granar vid Remingstorp : Wood properties in dominant and sub-dominant trees of Norway spruce at Remingstorp

Variation in wood properties for Picea abies trees and logs of different dimensions has been studied at two sites in southern Sweden of different site quality class. Trees have been classified as dominant or sub-dominant, according to their height. Log and board grades were classified and strength grade of boards, basic density and annual ring width measured. A similar study made on four northern sites was used as reference material.Sub-dominant trees were of superior quality in comparison to dominant trees, when classified by log and board grades or strength grading. Differences were accentuated for the second log where the sub-dominant trees had superior strength and low amount of boards with coarse branches. The results correspond well to those from the northern region, Jämtland. The classifica¬tion of boards as well as bending strength indicated superior properties on timber from northern sites even though the basic density was similar.

Predictive models for chronic renal disease using decision trees, naïve bayes and case-based methods

Data mining can be used in healthcare industry to “mine” clinical data to discover hidden information for intelligent and affective decision making. Discovery of hidden patterns and relationships often goes intact, yet advanced data mining techniques can be helpful as remedy to this scenario. This thesis mainly deals with Intelligent Prediction of Chronic Renal Disease (IPCRD). Data covers blood, urine test, and external symptoms applied to predict chronic renal disease. Data from the database is initially transformed to Weka (3.6) and Chi-Square method is used for features section. After normalizing data, three classifiers were applied and efficiency of output is evaluated. Mainly, three classifiers are analyzed: Decision Tree, Naïve Bayes, K-Nearest Neighbour algorithm. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. Efficiency of Decision Tree and KNN was almost same but Naïve Bayes proved a comparative edge over others. Further sensitivity and specificity tests are used as statistical measures to examine the performance of a binary classification. Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified while Specificity measures the proportion of negatives which are correctly identified. CRISP-DM methodology is applied to build the mining models. It consists of six major phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.

Campus Life: In Perkins Arboretum there are birds of all feathers, trees that tell a story, and even romance (especially if you're a frog)

To the uninitiated, Perkins Arboretum is the edge of campus. For those familiar with its flora and fauna, the arboretum is a wondrous classroom and refuge.

Operações booleanas entre objetos delimitados por surfels usando constrained BSP-trees

As áreas de visualização e modelagem baseados em pontos têm sido pesquisadas ativamente na computação gráfica. Pontos com atributos (por exemplo, normais) são geralmente chamados de surfels e existem vários algoritmos para a manipulação e visualização eficiente deles. Um ponto chave para a eficiência de muitos métodos é o uso de estruturas de particionamento do espaço. Geralmente octrees e KD-trees, por utilizarem cortes alinhados com os eixos são preferidas em vez das BSP-trees, mais genéricas. Neste trabalho, apresenta-se uma estrutura chamada Constrained BSP-tree (CBSP-tree), que pode ser vista como uma estrutura intermediárias entre KD-trees e BSP-trees. A CBSP-tree se caracteriza por permitir cortes arbitrários desde que seja satisfeito um critério de validade dos cortes. Esse critério pode ser redefinido de acordo com a aplicação. Isso permite uma aproximação melhor de regões curvas. Apresentam-se algoritmos para construir CBSP-trees, valendo-se da flexibilidade que a estrutura oferece, e para realizar operações booleanas usando uma nova classificação de interior/exterior.

Triterpene benzoates from the bark of Picramnia teapensis (Simaroubaceae)

Two new benzoic acid esters of triterpene alcohols [lup-20 (29)-en-28-oic acid 3 alpha, 7 beta -dibenzoate and 3 alpha -hydroxy-lup-20(29)-en-28-ic acid 7 beta -benzoate] were isolated from the stem bark of Picramnia teapensis Tul. The structures of these compounds were established on the basis of spectral analyses. Other known compounds, beta -sitosterol, estigmasterol, lupeol and epilupeol, were identified in mixture by GC-MS. The triterpene esters have not shown in-vitro inhibitory effect on the growth of Leucoagaricus gongylophorus (Fisher), referred also as Leucocoprinus gongylophorus (Heim), syn Rozites gongylophora (Moller), the symbiotic fungus cultivated by the leaf-cutting ant Atta sexdens L.

Níveis de irrigação e de composto de lixo orgânico na formação de mudas cítricas em casa de vegetação

O presente trabalho visou a estudar o efeito da associação entre a irrigação e tipos de substratos na formação de mudas de laranjeira. O delineamento experimental utilizado foi o de blocos casualizados, com parcelas subdivididas, com quatro repetições, três níveis de irrigação e cinco tipos de substratos. Foram utilizados os seguintes substratos: 100% de casca de pínus; 80% de casca de pinus + 20% de composto de lixo orgânico; 60% de casca de pinus + 40% de composto de lixo orgânico; 20% de casca de pinus + 80% de composto de lixo orgânico, e 100% de composto de lixo orgânico. A irrigação por gotejamento foi feita com lâminas de 50%, 100% e 150% da evaporação do atmômetro modificado. A avaliação do desenvolvimento das plantas foi feita quinzenalmente, medindo-se o diâmetro do caule e a altura. Os resultados mostraram que as mudas de citrus apresentaram necessidade de água variável com os diferentes estádios de desenvolvimento e tipos de substratos, dos quais se destacou o substrato 3 (60% de casca de pinus e 40% de composto de lixo urbano), pois propiciou melhores condições para o desenvolvimento das raízes das plantas e também forneceu nutrientes, por meio da decomposição do material orgânico. A irrigação 3 (150% da evaporação do atmômetro) foi a que proporcionou o melhor desenvolvimento das mudas de laranjeira.

Occurrence of Quesada gigas on Schizolobium amazonicum trees in Maranhão and Pará States, Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Caracterização de quatro grupos de jabuticabeira, nas condições de Jaboticabal-SP

O presente trabalho foi conduzido com o objetivo de avaliar as características morfológicas e físicas da planta e do fruto de jabuticabeiras, pertencentes à coleção da FCAV-UNESP, Câmpus de Jaboticabal-SP. A coleção conta com 160 plantas, das quais 40, que apresentavam frutificação no momento da seleção, foram agrupadas, preliminarmente, segundo características semelhantes, em quatro grupos denominados JAB 01, JAB 02, JAB 03 e JAB 04. Mediram-se nestes grupos a altura da planta, diâmetro do tronco a 20 cm do solo, diâmetro de copa, comprimento do entrenó e largura da folha. Os frutos, foram avaliados quanto a comprimento, largura, massa fresca da casca, da semente, da polpa e total, bem como o número de sementes por fruto. O delineamento utilizado foi o inteiramente casualisado, com 4 tratamentos, quatro grupos de plantas e 5 repetições, com 2 plantas por repetição. Os dados foram submetidos à análise de variância pelo teste (F) e as médias comparadas pelo teste de Tukey. Observou-se grande variabilidade nos grupos estudados. O JAB-04 revelou-se como o mais promissor para utilização em programas de melhoramento, pela precocidade de produção, baixo porte e maior rendimento em polpa, apesar de os frutos apresentarem menor tamanho em relação aos dos demais grupos.