952 resultados para HRM procedures


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We propose a rule of decision-making, the sequential procedure guided byroutes, and show that three influential boundedly rational choice models can be equivalentlyunderstood as special cases of this rule. In addition, the sequential procedure guidedby routes is instrumental in showing that the three models are intimately related. We showthat choice with a status-quo bias is a refinement of rationalizability by game trees, which, inturn, is also a refinement of sequential rationalizability. Thus, we provide a sharp taxonomyof these choice models, and show that they all can be understood as choice by sequentialprocedures.

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For severe obesity (BMI > 35 kg/m2), bariatric surgery is not only the best, but often the only means of obtaining sufficient and durable weight loss. This article aims to review the available bariatric procedures. Gastric bypass remains the reference when it comes to the risk/benefit ratio. Gastric banding is declining rapidly due to the high prevalence of long-term complications. Primary malabsorptive procedures remain largely unpopular because of their potential nutritional complications. Sleeve gastrectomy, although it is not reversible as it includes a significant gastric resection, increases currently in popularity because of its apparent simplicity and the fact that early results regarding weight loss mimic those obtained with gastric bypass.

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Independent accountant's report on applying agreed upon procedures of the Ames Community School District for the period October 15, 2003 to November 14, 2006

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Agreed upon procedures report on the City of Springville, Iowa for the period July 1, 2007 through December 31, 2007

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Agreed upon procedures for the City of Garber for the year ended June 30, 2007

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Agreed upon procedures report on the City of Batavia, Iowa for the period July 1, 2005 through June 30, 2006

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Agreed upon procedures report on the City of Danbury, Iowa for the period July 1, 2006 through February 29, 2008

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Agreed upon procedures report on the City of Clutier, Iowa for the period July 1, 2006 through March 31, 2007

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Report on applying agreed-upon procedures to the City of Protivin’s certification of compliance with Chapter 388.10 of the Code of Iowa for the year ended June 30, 2008

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Report on applying agreed-upon procedures to the City of Protivin’s certification of compliance with Chapter 388.10 of the Code of Iowa for the year ended June 30, 2007

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As the mortality associated with invasive Candida infections remains high, it is important to make optimal use of available diagnostic tools to initiate antifungal therapy as early as possible and to select the most appropriate antifungal drug. A panel of experts of the European Fungal Infection Study Group (EFISG) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) undertook a data review and compiled guidelines for the clinical utility and accuracy of different diagnostic tests and procedures for detection of Candida infections. Recommendations about the microbiological investigation and detection of candidaemia, invasive candidiasis, chronic disseminated candidiasis, and oropharyngeal, oesophageal, and vaginal candidiasis were included. In addition, remarks about antifungal susceptibility testing and therapeutic drug monitoring were made.

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Agreed upon procedures report on the City of Ralston, Iowa for the period July 1, 2007 through August 31, 2008

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The objective of this paper is to compare the performance of twopredictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods. One hundred and sixty-seven patients with proven calvarial lesions as the only known disease were enrolled. Clinical and CT data were used for LR and NN models. Both models were developed with cross validation, leave-one-out and three different bootstrap algorithms. The final results of each model were compared with error rate and the area under receiver operating characteristic curves (Az). The neural network obtained statistically higher Az than LR with cross validation. The remaining resampling validation methods did not reveal statistically significant differences between LR and NN rules. The neural network classifier performs better than the one based on logistic regression. This advantage is well detected by three-fold cross-validation, but remains unnoticed when leave-one-out or bootstrap algorithms are used.

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When the behaviour of a specific hypothesis test statistic is studied by aMonte Carlo experiment, the usual way to describe its quality is by givingthe empirical level of the test. As an alternative to this procedure, we usethe empirical distribution of the obtained \emph{p-}values and exploit itsinformation both graphically and numerically.