[ artificial neural network model to predict the service quality of academic libraries]

Introduction: Commonly libraries and information centers use LibQual to measure their quality of services. Although analysis of Libqual done with classical statistics, it is possible to analyze it through Artificial Neural Network with lower error rate. This research try to introduce an Artificial Neural Network that is able to predict service quality of university library

Methods: In this applied cross-sectional study, all of Shiraz university of medical science students were assessed. LibQual questionnaire was the instrument of data collection and MATLAB software was being used to analyze data. In addition an algorithm was written to automatic selection of the best network architecture based on lower error rate and higher adaptation rate

Results: for 5 categories of input data and with running of the written algorithm, 5 ANN was created and their matching ratio is 0.77059, 0.6828, 0.81089, 0.79161 and 0.83273 respectively

Conclusion: By comparing the ANNs, it was found that ANN with 20 hidden layer, %80 training data, %16.667 testing data and %3.3333 validation data that be fed with fifth input data, is the most appropriate ANN in quality evaluation of university libraries

[Biological control of apples blue mold by two isolates of saccharomyces cerevisiae in order to reduce the environmental pollution]

In the recent decays, application of the fungicides has provided some concern in the scientific society. Recently, biological control was developed as an alternative to synthetic fungicides, and considerable success was achieved by utilizing antagonistic microorganisms for controlling postharvest diseases. In this present research, two yeast antagonists of Saccharomyces cerevisiae [04,69] applied instead of fungicide that it controlled blue mold of apple caused by Penicillium expansum. Blue mold agent isolated from infected apples. Dual culture, cell free metabolite and volatile test were used in vitro assay to evaluate as potential biological control agent against apple blue. In storage assays [in vitro assays], apple fruit wounds were inoculated with 40 microl of yeast cell suspension [10[7] cell/ml] followed 24h later by P.expansum [10[5] conidia/ml]. The apples were then incubated at 20[degree sign] C and 5 [degree sign] C. The inhibition varied among isolates of yeasts and ranged from 33.12% to 58.4%, in dual culture, from 54.93% to 72.87% in volatile metabolite and from 50.23% to 76.23% in cell free metabolite test. In the storage test, two isolates of S. cerevisiae reduced the decay area from 1416 to 1435 mm[2] compared to 3151.1 mm[2] in control after at 5 [degree sign] C. At 20[degree sign] C, the lesion area ranged from 1347 to 1598 mm[2] for the antagonist treatments compared to 3257.4 mm[2] for the control treatments. The two isolates of S. cervisiae were the effective isolates at both temperatures in this assay and could be two of important new biological control agents for apple blue mold

[Biological control of apples blue mold by two isolates of Saccharomyces cerevisiae in order to reduce the environmental pollution]

Background: in the recent decays, application of the fungicides has provided some concern in the scientific society. Recently, biological control was developed as an alternative to synthetic fungicides, and considerable success was achieved by utilizing antagonistic microorganisms for controlling postharvest diseases

Materials and Methods: in this present research, two yeast antagonists of Saccharomyces cerevisiae [04, 69] applied instead of fungicide that it controlled blue mold of apple caused by Penicillium expansum. Blue mold agent isolated from infected apples. Dual culture, cell free metabolite and volatile test were used in vitro assay to evaluate as potential biological control agent against apple blue. In storage assays [in vivo assays], apple fruit wounds were inoculated with 40µl of yeast cell suspension [10[7]cell/ml] followed 24 h later by P.expansum [10[5] conidia/ml]. The apples were then incubated at 20 degreeC and 5 degreeC

Results: the inhibition varied among isolates of yeasts and ranged from 33.12% to 58.4% , in dual culture, from 54.93% to 72.87% in volatile metabolite and from 50.23% to 76.23% in cell free metabolite test. In the storage test, two isolates of S. cerevisiae reduced the decay area from 1416 to 1435 mm[2] compared to 3151.1 mm[2] in control after at 5 degreeC. At 20 degreeC, the lesion area ranged from 1347 to 1598 mm[2] for the antagonist treatments compared to 3257.4 mm[2] for the control treatments

Conclusions: the two isolates of S. cervisiae were the effective isolates at both tempetures in this assay and could be two of important new biological control agents for apple blue mold