Search results for " set"

What determines the likelihood of structural reforms?

2015

We use data for a panel of 60 countries over the period 1980–2005 to investigate the main drivers of the likelihood of structural reforms. We find that: (i) external debt crises are the main trigger of financial and banking reforms; (ii) inflation and banking crises are the key drivers of external capital account reforms; (iii) banking crises also hasten financial reforms; and (iv) economic recessions play an important role in promoting the necessary consensus for financial, capital, banking and trade reforms, especially in the group of OECD-countries. Additionally, we also observe that the degree of globalisation is relevant for financial reforms, in particular in the group of non-OECD cou…

Complete basis set B3LYP NMR calculations of CDCl3solvent's water fine spectral details

2008

The assignment of singlet at 1.55 ppm and the 1:1:1 triplet at 1.519 ppm to H2O and HOD in the 400 MHz 1H NMR spectrum of CDCl3 solvent were supported by complete basis set (CBS) GIAO-B3LYP calculated chemical shift and the CBS B3LYP estimated 2J(D,H) spin–spin coupling constant (SSCC). The CBS fitting of B3LYP/cc-pCVxZ and B3LYP/pcJ-n predicted SSCC values, the accurate value of 2J(D,H) = − 1.082 ± 0.030 Hz of HOD in chloroform-d1 and the H/D isotopic shift of 0.0307(1) ppm were reported for the first time. The agreement between CBS B3LYP predicted chemical shift, spin–spin values and experiment was good. Copyright © 2008 John Wiley & Sons, Ltd.

2014

Large data sets classification is widely used in many industrial applications. It is a challenging task to classify large data sets efficiently, accurately, and robustly, as large data sets always contain numerous instances with high dimensional feature space. In order to deal with this problem, in this paper we present an online Logdet divergence based metric learning (LDML) model by making use of the powerfulness of metric learning. We firstly generate a Mahalanobis matrix via learning the training data with LDML model. Meanwhile, we propose a compressed representation for high dimensional Mahalanobis matrix to reduce the computation complexity in each iteration. The final Mahalanobis mat…

Overrating Classifier Performance in ROC Analysis in the Absence of a Test Set: Evidence from Simulation and Italian CARATkids Validation

2019

Background The use of receiver operating characteristic curves, or “ROC analysis,” has become quite common in biomedical research to support decisions. However, sensitivity, specificity, and misclassification rates are still often estimated using the training sample, overlooking the risk of overrating the test performance. Methods A simulation study was performed to highlight the inferential implications of splitting (or not) the dataset into training and test set. The normality assumption was made for the classifier given the disease status, and the Youden's criterion considered for the detection of the optimal cutoff. Then, an ROC analysis with sample split was applied to assess the disc…

Palbociclib plus endocrine therapy in HER2 negative, hormonal receptor-positive, advanced breast cancer: A real-world experience

2019

Data from 423 human epidermal growth factor receptor 2-negative (HER2−), hormone receptor-positive (HR+) advanced breast cancer (aBC) patients treated with palbociclib and endocrine therapy (ET) were provided by 35 Italian cancer centers and analyzed for treatment outcomes. Overall, 158 patients were treated in first line and 265 in second/later lines. We observed 19 complete responses and 112 partial responses. The overall response rate (ORR) was 31% (95% confidence interval [CI], 26.6–35.4) and clinical benefit was 52.7% (95% CI, 48–57.5). ORR was negatively affected by prior exposure to everolimus/exemestane (p = 0.002) and favorably influenced by early line-treatment (p < 0.0001). At…

Trends of influenza B during the 2010–2016 seasons in 2 regions of north and south Italy: The impact of the vaccine mismatch on influenza immunisatio…

2017

Influenza A and B viruses are responsible for respiratory infections, representing globally seasonal threats to human health. The 2 viral types often co-circulate and influenza B plays an important role in the spread of infection. A 6-year retrospective surveillance study was conducted between 2010 and 2016 in 2 large administrative regions of Italy, located in the north (Liguria) and in the south (Sicily) of the country, to describe the burden and epidemiology of both B/Victoria and B/Yamagata lineages in different healthcare settings. Influenza B viruses were detected in 5 of 6 seasonal outbreaks, exceeding influenza A during the season 2012–2013. Most of influenza B infections were found…

Rehabilitees perspective on goal setting in rehabilitation : a phenomenological approach

2018

Purpose: Setting meaningful goals for the rehabilitation process after acute illness is essential for rehabilitees recovery. The aim of this study was to understand the meanings of the goal setting situation with professionals from rehabilitees point of view. - Method: We included 20 acute stroke and back pain rehabilitees (mean age 66 y) who set goals with a multidisciplinary rehabilitation team. Data was collected by interviewing the rehabilitees after the goal setting situations. A qualitative analysis from a phenomenological perspective using Spiegelberg’s seven-phase meaning analysis was performed to reveal meanings. - Results: The five meanings were identified as: (i) “trust in the re…

Effect of aerobic exercise and low carbohydrate diet on pre-diabetic non-alcoholic fatty liver disease in postmenopausal women and middle aged men - …

2014

Background Pre-diabetes and non-alcoholic fatty liver disease (NAFLD) are associated with an unhealthy lifestyle and pose extremely high costs to the healthcare system. In this study, we aim to explore whether individualized aerobic exercise (AEx) and low carbohydrate diet (LCh) intervention affect hepatic fat content (HFC) in pre-diabetes via modification of gut microbiota composition and other post-interventional effects. Methods/design A 6-month randomized intervention with 6-month follow-up is conducted from January 2013 to December 2015. The target sample size for intervention is 200 postmenopausal women and middle-aged men aged 50–65 year-old with pre-diabetes and NAFLD. The qualified…

Treating missing data in a clinical neuropsychological dataset--data imputation.

2001

Missing data frequently reduce the applicability of clinically collected data in research requiring multivariate statistics. In data imputation, missing values are replaced by predicted values obtained from models based on auxiliary information. Our aim was to complete a clinical child neuropsychological data set containing 5.2% of missing observations. This was to be used in research requiring multivariate statistics. We compared four data imputation methods by artificially deleting some data. A real-donor imputation method which preserved the parameter estimates and which predicted the observed values with acceptable accuracy was used to complete the data set. In addressing the lack of st…

Play assessment for group settings: A pilot study to construct an assessment tool

2006

The Play Assessment for Group Setting (PAGS) was constructed to measure children's play performance. The study was undertaken with 93 children aged from 2 to 8 years to examine whether the items of the PAGS construct a unidimensional scale that can be used to measure children's play ability. The internal scale validity and the person response validity of the PAGS were investigated by examining the goodness-of-fit of the play items and children's play performance to the many-faceted Rasch model for the PAGS. In total, 46 of the 51 play items demonstrated acceptable goodness-of-fit. Of the 93 children, 90.3% demonstrated acceptable goodness-of-fit on the scale of play items. Overall, the resu…