排序方式: 共有34条查询结果,搜索用时 0 毫秒
31.
Jakub Nowosad Alfred Stach Idalia Kasprzyk Elżbieta Weryszko-Chmielewska Krystyna Piotrowska-Weryszko Małgorzata Puc Łukasz Grewling Anna Pędziszewska Agnieszka Uruska Dorota Myszkowska Kazimiera Chłopek Barbara Majkowska-Wojciechowska 《Aerobiologia》2016,32(3):453-468
The aim of the study was to create and evaluate models for predicting high levels of daily pollen concentration of Corylus, Alnus, and Betula using a spatiotemporal correlation of pollen count. For each taxon, a high pollen count level was established according to the first allergy symptoms during exposure. The dataset was divided into a training set and a test set, using a stratified random split. For each taxon and city, the model was built using a random forest method. Corylus models performed poorly. However, the study revealed the possibility of predicting with substantial accuracy the occurrence of days with high pollen concentrations of Alnus and Betula using past pollen count data from monitoring sites. These results can be used for building (1) simpler models, which require data only from aerobiological monitoring sites, and (2) combined meteorological and aerobiological models for predicting high levels of pollen concentration. 相似文献
32.
Mariana Elizondo-Zertuche Alexandra M. Montoya Efrén Robledo-Leal Idalia Garza-Veloz Ana L. Sánchez-Núñez Raquel Ballesteros-Elizondo Gloria M. González 《Mycopathologia》2017,182(7-8):681-689
We identified 11 Lomentospora prolificans isolates recovered from Mexican patients using phenotypic and molecular characteristics. The identification of isolates was assessed by internal transcribed spacer (ITS rDNA) sequencing. In vitro susceptibility to amphotericin B, fluconazole, voriconazole, posaconazole, caspofungin, anidulafungin and micafungin was determined according to Clinical and Laboratory Standards Institute (CLSI) procedures. Three isolates (07-2239, 11-2242 and 04-2673) were used to induce systemic infection in immunocompetent ICR mice. Survival and tissue burden studies were used as markers of pathogenicity. All of the strains were resistant to every antifungal tested with MIC’s for AmB (8–>8 µg/ml), VRC (16–>16 µg/ml), PSC (16–>16 µg/ml), FLC (64–>64 µg/ml) and echinocandins with MICs ≥8 µg/ml. One hundred, ninety and sixty percent of the infected mice with the strains 07-2239, 11-2242 and 04-2673 died during the study, respectively. Regarding tissue burden, the highest fungal load of the infected mice was detected in brain followed by spleen and kidney, regardless of the strain. 相似文献
33.
Naurú Idalia Vargas-Maya Gloria Angélica González-Hernández Israel Enrique Padilla-Guerrero Juan Carlos Torres-Guzmán 《Journal of industrial microbiology & biotechnology》2017,44(1):63-74
Fermentative processes are widely used to produce food, beverages and biofuels. Saccharomyces cerevisiae is an efficient ethanol-producing microorganism. However, a concentration of high ethanol and other metabolites can affect yeast viability and decrease the ethanol yield. Many studies have focused on improving the fermentative efficiency, mostly through the genetic engineering of genes that have a direct impact on specific metabolic pathways. In the present study, we characterized a small open reading frame encoding a protein with an unknown function and biological role termed YNR034W-A. We analyzed the expression profile of the YNR034W-A gene during growth and glucose treatment, finding that it is expressed during the diauxic shift and stationary phase and is negatively regulated by glucose. We overexpressed the YNR034W-A gene in the BY4741 laboratory strain and a wild-type yeast strain (AR5) isolated during the Tequila fermentation process. Transformant derivatives of the AR5 strain showed an improved fermentative efficiency during fermentation of Agave tequilana Weber juice. We suggest that the improved fermentative efficiency is the result of a higher stress tolerance response in the YNR034W-A overexpressing transformant. 相似文献
34.
Markey?C?McNutt Ron?Tongbai Wenwu?Cui Irene?Collins Wendy?J?Freebern Idalia?Montano Cynthia?M?Haggerty GVR?Chandramouli Kevin?GardnerEmail author 《BMC bioinformatics》2005,6(1):259