Post-match sleeping behavior based on match scheduling over a season in elite football players

© 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group. Objectives: (1) To objectively monitor and describe sleeping patterns of elite football players after matches during a competitive season and (2) to describe the variability in sleeping patterns between these contexts. Methods: Actimetry was used to determine sleeping patterns of 25 elite players from 1 Portuguese First League (Liga NOS) club for at least 3 normal training days (TDs) as a baseline and then after various matches, including home (HM), away (AM), day (DM) and night (NM). Actimetry-derived sleep measures included total sleep duration (TSD), sleep onset latency, sleep efficiency (SE) and wake episode duration. Results: On TD, both TSD (6:36 h) and SE (85%) were below recommended healthy ranges of 7–8 h and >90%, respectively. TSD was even less after NM compared to both TD (–65 min) and DM (–65 min) (P 0.05). Additionally, TSD was greater in AM compared to HM (+77 min, P = 0.001). Conclusions: The primary findings of this study were the significant reduction in total sleep duration and later bedtime following (night) matches compared to normal training days

Audit on the radiographers practice for CTPA performing in emergency department

ComputedTomography Pulmonary Angiography (CTPA) is a first line exam used to stratify the early risk of patients with Pulmonary embolism (PE) who is a common presentation to emergency department.The diagnosis of acute Pulmonary embolism (PE) is based on direct evidence of a thrombus in two projections, either as a filling defect or as amputation of a pulmonary arterial branch When performing CTPA, it is important for the radiographer to be aware of all aspects which can lead to an indeterminate CTPA or incorrect interpretation....info:eu-repo/semantics/publishedVersio

Evaluation of Jackknife and Bootstrap for Defining Confidence Intervals for Pairwise Agreement Measures

Several research fields frequently deal with the analysis of diverse classification results of the same entities. This should imply an objective detection of overlaps and divergences between the formed clusters. The congruence between classifications can be quantified by clustering agreement measures, including pairwise agreement measures. Several measures have been proposed and the importance of obtaining confidence intervals for the point estimate in the comparison of these measures has been highlighted. A broad range of methods can be used for the estimation of confidence intervals. However, evidence is lacking about what are the appropriate methods for the calculation of confidence intervals for most clustering agreement measures. Here we evaluate the resampling techniques of bootstrap and jackknife for the calculation of the confidence intervals for clustering agreement measures. Contrary to what has been shown for some statistics, simulations showed that the jackknife performs better than the bootstrap at accurately estimating confidence intervals for pairwise agreement measures, especially when the agreement between partitions is low. The coverage of the jackknife confidence interval is robust to changes in cluster number and cluster size distribution

Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement

BACKGROUND: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data can be used to classify the same set of entities and methods allowing the comparison of the performance of two data sources or the determination of how well a given classification agrees with another are frequently needed, especially in the absence of a universally accepted "gold standard" classification. RESULTS: Here, we describe a novel measure – the Ranked Adjusted Rand (RAR) index. RAR differs from existing methods by evaluating the extent of agreement between any two groupings, taking into account the intercluster distances. This characteristic is relevant to evaluate cases of pairs of entities grouped in the same cluster by one method and separated by another. The latter method may assign them to close neighbour clusters or, on the contrary, to clusters that are far apart from each other. RAR is applicable even when intercluster distance information is absent for both or one of the groupings. In the first case, RAR is equal to its predecessor, Adjusted Rand (HA) index. Artificially designed clusterings were used to demonstrate situations in which only RAR was able to detect differences in the grouping patterns. A study with larger simulated clusterings ensured that in realistic conditions, RAR is effectively integrating distance and partition information. The new method was applied to biological examples to compare 1) two microbial typing methods, 2) two gene regulatory network distances and 3) microarray gene expression data with pathway information. In the first application, one of the methods does not provide intercluster distances while the other originated a hierarchical clustering. RAR proved to be more sensitive than HA in the choice of a threshold for defining clusters in the hierarchical method that maximizes agreement between the results of both methods. CONCLUSION: RAR has its major advantage in combining cluster distance and partition information, while the previously available methods used only the latter. RAR should be used in the research problems were HA was previously used, because in the absence of inter cluster distance effects it is an equally effective measure, and in the presence of distance effects it is a more complete one

Climate Change Mitigation and Adaptation in Public Collective Irrigated Systems

Irrigated agriculture is the largest consumer of water (in the country, in Europe and in the world The need to increase crop production led to the transfer of a rainfed agriculture to irrigated agriculture improving at about 10 times the productivity of cultures However, also created the trend for the election of certain specific cultures Rehabilitation of collective irrigation systems with many years of operation and modernization of the existing perimeters, predominantly in channel flow, to transport in pressure increasing energy consumption, claims to adapt to climate change of this water supply service For this reason, the Collective Irrigated Systems are great consumers of water and energy and it’s necessary to develop and implement plans for optimize water and energy management and also a climate change mitigation and adaptation plan In this work a Performance System to the Climate Change Mitigation and Adaptation Plan is presented evaluating success of mitigate and adaptation measures, the satisfaction of agricultural irrigation users and the preservation of the sustainability of the servic

Asymmetric magnetization reversal in exchange-biased hysteresis loops

This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics.Polarized neutron reflectometry is used to probe the in-plane projection of the net-magnetization vector M of polycrystalline Fe films exchange coupled to twinned (110) MnF2 or FeF2 antiferromagnetic (AF) layers. The magnetization reversal mechanism depends upon the orientation of the cooling field with respect to the twinned microstructure of the AF, and whether the applied field is increased to (or decreased from) a positive saturating field; i.e., the magnetization reversal is asymmetric. The reversal of the sample magnetization from one saturated state to the other occurs via either domain wall motion or magnetization rotation on opposite sides of the same hysteresis loop

Clear-PEM: A PET imaging system dedicated to breast cancer diagnostics

The Clear-PEM scanner for positron emission mammography under development is described. The detector is based on pixelized LYSO crystals optically coupled to avalanche photodiodes and readout by a fast low-noise electronic system. A dedicated digital trigger (TGR) and data acquisition (DAQ) system is used for on-line selection of coincidence events with high efficiency, large bandwidth and small dead-time. A specialized gantry allows to perform exams of the breast and of the axilla. In this paper we present results of the measurement of detector modules that integrate the system under construction as well as the imaging performance estimated from Monte Carlo simulated data.http://www.sciencedirect.com/science/article/B6TJM-4M942B5-D/1/e8aea93baa1aeae3538ea200a5a5466

Critical steps in clinical shotgun metagenomics for the concomitant detection and typing of microbial pathogens

High throughput sequencing has been proposed as a one-stop solution for diagnostics and molecular typing directly from patient samples, allowing timely and appropriate implementation of measures for treatment, infection prevention and control. However, it is unclear how the variety of available methods impacts the end results. We applied shotgun metagenomics on diverse types of patient samples using three different methods to deplete human DNA prior to DNA extraction. Libraries were prepared and sequenced with Illumina chemistry. Data was analyzed using methods likely to be available in clinical microbiology laboratories using genomics. The results of microbial identification were compared to standard culture-based microbiological methods. On average, 75% of the reads corresponded to human DNA, being a major determinant in the analysis outcome. None of the kits was clearly superior suggesting that the initial ratio between host and microbial DNA or other sample characteristics were the major determinants of the proportion of microbial reads. Most pathogens identified by culture were also identified through metagenomics, but substantial differences were noted between the taxonomic classification tools. In two cases the high number of human reads resulted in insufficient sequencing depth of bacterial DNA for identification. In three samples, we could infer the probable multilocus sequence type of the most abundant species. The tools and databases used for taxonomic classification and antimicrobial resistance identification had a key impact on the results, recommending that efforts need to be aimed at standardization of the analysis methods if metagenomics is to be used routinely in clinical microbiology