Estudo das variações elétricas em filmes ultrafinos compondo as unidades sensoriais de uma língua eletrônica

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Estrutura eletrônica de materiais orgânicos: moléculas antimalariais de sulfonamidas e anilinoquinolinas

Pós-graduação em Ciência e Tecnologia de Materiais - FC

Estudo comparativo das caracteristicas sensoriais do rum e da cachaça

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Cravo-de-defunto (Tagetes patula L.) como planta atrativa para tripes (Thysanoptera) e himenópteros parasitóide (Hymenoptera) em cultivo protegido

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Abordagem multivariada na seleção de progênies de soja superiores e portadoras do gene RR

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

Variabilidade genética de caracteres morfológicos e germinação de Tabebuia caraiba (Mart.) Bur. (Bignoniaceae) no Município de Macapá, AP

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Definição da assinatura geoquímica multielemento secundária dos depósitos Canoas e Perau - Vale do Ribeira - PR e sua aplicação como ferramenta na seleção de novas áreas potenciais para pesquisa mineral

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Diversidade fenotípica e molecular de cultivares brasileiras de soja portadoras de gene RR

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

Avaliação dos fatores abióticos e bióticos de uma área petroquímica da região de Paulínia, SP, e fotodocumentação dos fungos transientes isolados

Pós-graduação em Ciências Biológicas (Microbiologia Aplicada) - IBRC

Caminho da fé: pedestrianismo, estados emocionais e reflexões sobre a ambiência

Pós-graduação em Ciências da Motricidade - IBRC

Estudos histopatológicos e ciclos biológicos de Meloidogyne mayaguensis e M. javanica em tomateiros com gene Mi

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Mexico: Combining monthly inflation predictions from surveys

We examine the problem of combining Mexican inflation predictions or projections provided by a biweekly survey of professional forecasters. Consumer price inflation in Mexico is measured twice a month. We consider several combining methods and advocate the use of dimension reduction techniques whose performance is compared with different benchmark methods, including the simplest average prediction. Missing values in the database are imputed by two different databased methods. The results obtained are basically robust to the choice of the imputation method. A preliminary analysis of the data was based on its panel data structure and showed the potential usefulness of using dimension reduction techniques to combine the experts' predictions. The main findings are: the first monthly predictions are best combined by way of the first principal component of the predictions available; the best second monthly prediction is obtained by calculating the median prediction and is more accurate than the first one.

Potencial da espectroscopia no infravermelho próximo para distinção de carvão de madeira de Eucalyptus e nativa

The objective of this study was to evaluate the potential of near infrared spectroscopy (NIRS) associated with multivariate statistics to distinguish coal produced from wood of planted and native forests. Timber forest species from the C errado (Cedrela sp., Aspidosperma sp., Jacaranda sp. and unknown species) and Eucalyptus clones from forestry companies (Vallourec and Cenibra) were carbonized in the final temperatures of 300, 500 and 700°C. In each heat treatment were carbonized 15 specimens of each vegetal material totaling 270 samples (3 treatments x 15 reps x 6 materials) produced in 18 carbonization (3 treatments x 6 materials). The acquisition of the spectra of coals in the near infrared using a spectrometer was performed. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS-R) were carried out in the spectra. NIR Spectroscopy associated with PCA was not able to differentiate charcoals produced from native and planted woods when utilizing all carbonized samples at different temperatures in the same analysis; The PCA of all charcoals was able to distinguish the samples depending on temperature in which they were carbonized. However, the separation of native and planted charcoal was possible when the samples were analyzed separately by final temperature. The prediction of native or planted classes by PLS-R presented better performance for samples carbonized at 300°C followed by those at 500°C, 700°C and for all together.

Componentes principais na elaboração de índices de provas de desempenho em bovinos

The principal component analysis assists the producers in making decision of which evaluated features must be maintained in performance tests indexes, according to the variation present in these animals evaluated. The objective in this study was to evaluate a set of characteristics measured in a performance test in semifeedlot cattle of the Simmental and Angus breeds, by means principal component analysis (PC), aim to identify the features that represent most of the phenotypic variation for preparation of indexes. It was used data from 39 Angus and 38 Simmental bulls from the Santa Éster farm, located in Silvianópolis - MG. The performance test period was from october 2014 to february 2015. The features evaluated in the test were: final weight (FW), average daily gain weight (GW), respiratory rate (RR), haircoat temperature (HT) and rectal (RT), hair number (HN), hair length (HL), hair thickness (HT), muscularity (MUSC), racial characteristics, angulation, reproductive and balance (BAL), height of the front and back, width and length of croup, body length, depth and heart girth, subcutaneous fat thickness and rump (FTR), loin eye area and marbling (MAR). It was used PRINCOMP from SAS program for procedure the PC analysis. It was found that of the 27 features evaluated, the first four PC for Simmental breed explained 74% total variation data. The four PC selected with the corresponding weighting coefficients formed the following index: (0.27 * FW) + (0.47 * MUSC) + (0.50 * HL) + (0.39 * HT). Since the characteristics related to the adaptability of great importance for the studied breed, it was decided to keep the index of evidence for the Angus breed, the feature hair number, because there is a feature that presented a great variability and occupied one of the first principal component. Thus, the Angus index was composed by five features, with 79% total variation data, resulting in the following formula: (0.26 * FW) + (0.33 * BAL) + (0.58 * MAR) - (0.43 * FTR) – (0.38 * HN). By the principal component analysis it was possible to minimize the features number to be evaluated on performance tests from that farm, making the animal selection rapidly and accurate.

Caracterização e dinâmica de metais em rios da Bacia Hidrográfica do Turvo/Grande. -

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)