Resíduos de bananeira como substrato base para o cultivo in vitro de Coprinus comatus

Coprinus comatus is an edible and lignolitic fungus which has presented great potential for commercial use due to its easy development in the different residues, such as banana tree leave. Thus, the mycelial growth of Coprinus comatus in culture media based on leaves of Thap-Maeo, Prata-Anã, Pelipita and Caipira banana tree cultivars, supplemented with 20% of wheat, soy and rice brans, was evaluated. 7 mm-wide discs of CCO 01/01 strain of C. comatus were inoculated in the middle of Petri dishes containing culture medium, inside a laminar flow chamber. Next, the dishes were arranged totally at random inside an incubator at 25 ºC. The daily measurements of the mycelial growth began after 24 hours, until one of the treatments reached the borders of the Petri dish. According to the results obtained, we verified that there was not effect of the kind of supplementation for culture media based on Thap-Maeo, Prata-Anã and Pelipita; the best growth averages for culture media based on Caipira were provided by wheat and rice brans. Therefore, banana residues may be a viable and ecologically correct choice for the cultivation of C. comatus, especially for Thap-Maeo and Prata Anã sorts, which provided the best growth averages, regardless of the supplementation used.

Metano entérico e consumo de ovinos em sistema silvipastoril com diferentes espaçamentos arbóreos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise de parentesco e variabilidade genética de pacu (Piaractus mesopotamicus) por meio de marcadores SNPs: subsídios para o melhoramento genético

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

Duração da qualidade de ovos estocados de poedeiras criadas no sistema “cage-free”

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Validação de conteúdo das intervenções de enfermagem “Ensino: Pré-operatório” e “Ensino: Procedimento/Tratamento” da Classificação das Intervenções de Enfermagem, para procedimento percutâneo em hemodinâmica

Pós-graduação em Enfermagem (mestrado profissional) - FMB

Avaliação dos modelos de predição da erosão hídrica MEUPS e WEPP: contribuição em bacias hidrográficas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Qualidade de vida em mulheres com câncer de mama submetidas à cirurgia conservadora e mastectomia

Pós-graduação em Enfermagem - FMB

Avaliação do desperdício de alimentos prontos para o consumo em Unidade de Alimentação e Nutrição (UAN), do interior do estado de São Paulo

Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

Desenvolvimento de pastilha potencialmente probiótica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento de modelo auto-regressivo para previsão em pronto-atendimento

The 1988 constitution makes an life is a supreme good when increased health as the fundamental condition requiring that all ill patient has the right to be treated in a public hospital (CF, art. 196). In this sense, the goal of this work is to generate a weekly forecast of hospital care by means of an advanced prediction model. It is expected that the model of self-regressivas seasonal moving averages SARIMA generate reliable and adherent to issue forecasts analyzed, thus enabling better resource allocation and more efficient hospital management

2006 Michigan Dairy Farm Business Analysis Summary

This report summarizes the financial and production records of 139 dairy farms from throughout Michigan in 2006. To be included, the farms must have produced at least 50 percent of gross cash farm income from milk and dairy animal sales. The records came from Michigan State University’s TelFarm project and the Farm Credit Service system in Michigan. The values were pooled into averages for reporting purposes. The farms are larger than would be the average of all dairy farms in Michigan. While considerable variation in the data exists, average values are reported in the summary tables and discussion that follows.

Spatial statistical models that use flow and stream distance

We develop spatial statistical models for stream networks that can estimate relationships between a response variable and other covariates, make predictions at unsampled locations, and predict an average or total for a stream or a stream segment. There have been very few attempts to develop valid spatial covariance models that incorporate flow, stream distance, or both. The application of typical spatial autocovariance functions based on Euclidean distance, such as the spherical covariance model, are not valid when using stream distance. In this paper we develop a large class of valid models that incorporate flow and stream distance by using spatial moving averages. These methods integrate a moving average function, or kernel, against a white noise process. By running the moving average function upstream from a location, we develop models that use flow, and by construction they are valid models based on stream distance. We show that with proper weighting, many of the usual spatial models based on Euclidean distance have a counterpart for stream networks. Using sulfate concentrations from an example data set, the Maryland Biological Stream Survey (MBSS), we show that models using flow may be more appropriate than models that only use stream distance. For the MBSS data set, we use restricted maximum likelihood to fit a valid covariance matrix that uses flow and stream distance, and then we use this covariance matrix to estimate fixed effects and make kriging and block kriging predictions.

Desenvolvimento de modelo auto-regressivo para previsão em pronto-atendimento

The 1988 constitution makes an life is a supreme good when increased health as the fundamental condition requiring that all ill patient has the right to be treated in a public hospital (CF, art. 196). In this sense, the goal of this work is to generate a weekly forecast of hospital care by means of an advanced prediction model. It is expected that the model of self-regressivas seasonal moving averages SARIMA generate reliable and adherent to issue forecasts analyzed, thus enabling better resource allocation and more efficient hospital management

Development stages of the reproductive tract of male of Panulirus echinatus Smith (Decapoda : Palinuridae)

This paper characterizes the developmental stages of the testes and vasa deferentia of the Panulirus echinatus Smith, 1869 through comparisons between microscopic findings, macroscopic aspects, and gonadosomatic index (GSR). The lobsters were sampled monthly (November 1999 to October 2000) using seine nets and a total of 1716 males were obtained at Tamandare Bay. Each carapace was cut to allow evaluation of the reproductive organs; the testes and vasa deferentia were dissected, weighed, fixed in Bouin`s solution up to 12 hours and submitted for histological analysis to determine the presence and/or absence of spermatozoa. These measures, along with change in color, size, diameter, development of the spermatophores and the GSR allowed the caracterization of three development stages: immature, intermediate and ripe. In conclusion, the maturity of the testes precedes the maturity of the vasa deferentia. To evaluate if gonadosomatic relation was a good quantitative indicator of the maturity stage, t tests (alpha = 0,05) were used and verified significant difference in the averages of GSR. The statistics corroborated that GSR can be used as indicative of the developmental stages for P. echinatus.

Surgical Performance During Laparoscopic Radical Nephrectomy Is Improved With Training in a Porcine Model

Background and Purpose: Becoming proficient in laparoscopic surgery is dependent on the acquisition of specialized skills that can only be obtained from specific training. This training could be achieved in various ways using inanimate models, animal models, or live patient surgery-each with its own pros and cons. Currently, there are substantial data that support the benefits of animal model training in the initial learning of laparoscopy. Nevertheless, whether these benefits extent themselves to moderately experienced surgeons is uncertain. The purpose of this study was to determine if training using a porcine model results in a quantifiable gain in laparoscopic skills for moderately experienced laparoscopic surgeons. Materials and Methods: Six urologists with some laparoscopic experience were asked to perform a radical nephrectomy weekly for 10 weeks in a porcine model. The procedures were recorded, and surgical performance was assessed by two experienced laparoscopic surgeons using a previously published surgical performance assessment tool. The obtained data were then submitted to statistical analysis. Results: With training, blood loss was reduced approximately 45% when comparing the averages of the first and last surgical procedures (P = 0.006). Depth perception showed an improvement close to 35% (P = 0.041), and dexterity showed an improvement close to 25% (P = 0.011). Total operative time showed trends of improvement, although it was not significant (P = 0.158). Autonomy, efficiency, and tissue handling were the only aspects that did not show any noteworthy change (P = 0.202, P = 0.677, and P = 0.456, respectively). Conclusions: These findings suggest that there are quantifiable gains in laparoscopic skills obtained from training in an animal model. Our results suggest that these benefits also extend to more advanced stages of the learning curve, but it is unclear how far along the learning curve training with animal models provides a clear benefit for the performance of laparoscopic procedures. Future studies are necessary to confirm these findings and better understand the impact of this learning tool on surgical practice.