Parkinson’s disease (PD) and aging lead to gait impairments. Some of the disturbances are focused on step length, cadence, temporal variability cycle. Under experimental conditions can be overtly evaluated, but patients with PD prone expectancy effects; thus it seems relevant determine if such evaluation truly reflects spontaneous pattern in patients, also healthy subjects. Thirty subjects (15 15 control subjects) were asked walk using their natural, preferred pattern. In half trials made...

Polymorphisms in sex steroid receptors have been associated with transsexualism. However, published replication studies yielded inconsistent findings, possibly because of a limited sample size and/or the heterogeneity transsexual population respect to onset dysphoria and sexual orientation. We assessed role androgen receptor (AR), estrogen alpha (ERα) beta (ERβ), aromatase (CYP19A1) two large homogeneous male-to-female (MtF) female-to-male (FtM) populations.The association each polymorphism...

BackgroundThe molecular mechanisms underlying the potential health benefits of a ketogenic diet are unknown and could be mediated by epigenetic mechanisms.ObjectiveTo identify changes in obesity-related methylome that induced weight loss or dependent on ketosis subjects with obesity underwent very-low calorie (VLCKD).MethodsTwenty-one patients (n = 12 women, 47.9 ± 1.02 yr, 33.0 0.2 kg/m2) after 6 months VLCKD normal volunteers 50.3 6.2 yrs, 22.7 1.5 were studied. Data from Infinium...

This paper presents the experimental validation and application to a real industrial catchment of two-dimensional depth-averaged shallow water model used for computation rainfall-runoff transformation from direct precipitation data. Instead using common approach in flood inundation modelling, which consists computing depth velocity fields given discharge, this study rainfall intensity is imposed directly model, surface runoff being generated automatically. The considers infiltration losses...

Traditional small-sized vineyards are especially sensitive to different impacts, including the arrival of new pests. The adults yellow-legged hornet (Vespa velutina), an invasive alien species present in Iberian Peninsula since 2010, feed on sugary foods, causing crop losses vineyards. However, management techniques for control V. velutina limited, and they do not provide effective agricultural settings. This work aims evaluate use exclusion system a traditional non-mechanized vineyard...

Distance correlation is a novel class of multivariate dependence measure, taking positive values between 0 and 1, applicable to random vectors not necessarily equal arbitrary dimensions. It offers several advantages over the well-known Pearson coefficient, most important being that distance equals zero if-and-only if- are independent. There two different estimators available in literature. The first estimator, proposed by Székely et al. (Ann Stat 35:2769–279 2007), based on an asymptotically...

Obesity has been associated with gene methylation regulation. Recent studies have shown that epigenetic signature plays a role in metabolic homeostasis after Roux-en Y gastric bypass (RYGB). To conduct genome-wide analysis peripheral blood to investigate whether changes following RYGB stem from weight loss or the surgical procedure per se. By means of Infinium Human Methylation 450 BeadChip array, global was analyzed 24 severely obese women before and 6 months normal-weight (controls). In...

Abstract Circulating tumor cells (CTCs) and epigenetic alterations are involved in the development of metastasis from solid tumors, such as colorectal cancer (CRC). The aim this study was to characterize DNA methylation profile metastasis-competent CTCs CRC. methylome human CRC-derived cell line CTC-MCC-41 analyzed compared with primary (HT29, Caco2, HCT116, RKO) metastatic (SW620 COLO205) CRC cells. association between transcriptional also evaluated. Differentially methylated CpGs were...

We introduce a nonparametric estimator of the conditional survival function in mixture cure model for right censored data when status is partially known. The developed setting single continuous covariate but it can be extended to multiple covariates. It extends Beran (1981), which ignores information. obtain an almost sure representation, from strong consistency and asymptotic normality are derived. Asymptotic expressions bias variance demonstrate reduction with respect Beran's estimator. A...

Implementing management practices for the control of invasive species can be a complex task with multiple dimensions, where identification stakeholders and drivers those is paramount importance. The hornet Vespa velutina has spread across Europe Asia from its native range in SE recent years. A common method removal destruction nests on citizens' request to call centers. In this paper we have explored knowledge main factors that influence perceptions citizens an invaded municipality NW Spain,...

Some kernel density estimator is presented in the context of right randomly censored data. The makes use presmoothing ideas replacing indicators no censoring by some preliminary nonparametric conditional probability uncensoring. i.i.d representation given for this estimator. This useful to obtain limit distribution and asymptotic mean squared error An integrated result also used derive large-sample formulas optimal smoothing parameters. Finally, simulations illustrate theory.

The survPresmooth package for R implements nonparametric presmoothed estimators of the main functions studied in survival analysis (survival, density, hazard and cumulative functions). Presmoothed versions classical have been shown to increase efficiency if presmoothing bandwidth is suitably chosen. provides plug-in bootstrap selectors, also allowing possibility using fixed bandwidths.

In lifetime data, like cancer studies, theremay be long term survivors, which lead to heavy censoring at the end of follow-up period. Since a standard survival model is not appropriate handle these cure needed. literature, covariate hypothesis tests for models are limited parametric and semiparametric methods.We fill this important gap by proposing nonparametric test probability in mixture models. A bootstrap method proposed approximate null distribution statistic. The procedure can applied...

Mixture cure models have been widely used to analyze survival data with a fraction.They assume that subgroup of the individuals under study will never experience event (cured subjects).So, goal is twofold: both probability and failure time uncured through proper function (latency).The R package npcure implements completely nonparametric approach for estimating these functions in mixture models, considering right-censored times.Nonparametric estimators latency as covariate are...

Cure models are a class of time-to-event where proportion individuals will never experience the event interest. The lifetimes these so-called cured always censored. It is usually assumed that one knows which censored observation and uncured, so cure status unknown for times. In this paper, we develop method to estimate probability in mixture model when some known be cured. A estimator incorporates information introduced. This shown strongly consistent asymptotically normally distributed. Two...

Abstract DNA methylation could provide a link between environmental, genetic factors and weight control can modify gene expression pattern. This study aimed to identify genes, which are differentially expressed methylated depending on adiposity state by evaluating normal women obese before after bariatric surgery (BS). We enrolled 24 (BMI: 22.5 ± 1.6 kg/m 2 ) 43.3 5.7 submitted BS. Genome-wide analysis was conducted using Infinium Human Methylation 450 BeadChip (threshold for significant CpG...

Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting hospital beds' demand and planning mitigation strategies, as overwhelming healthcare systems has critical consequences disease mortality. However, accurately mapping time-to-event outcomes, such LoS in intensive care unit (ICU), requires understanding patient trajectories while adjusting covariates observation bias, incomplete data. Standard methods, Kaplan-Meier estimator, require prior assumptions...

Hospital bed demand forecast is a first-order concern for public health action to avoid healthcare systems be overwhelmed. Predictions are usually performed by estimating patients flow, that is, lengths of stay and branching probabilities. In most approaches in the literature, estimations rely on not updated published information or historical data. This may lead unreliable estimates biased forecasts during new non-stationary situations. this paper, we introduce flexible adaptive procedure...