The effects of rhythmic structure on tapping accuracy.

Prior investigations of simple rhythms in familiar time signatures have shown the importance of several mechanisms; notably, those related to metricization and grouping. But there has been limited study of complex rhythms, including those in unfamiliar time signatures, such as are found outside mainstream Western music. Here, we investigate how the structures of 91 rhythms with nonisochronous onsets (mostly complex, several in unfamiliar time signatures) influence the accuracy, velocity, and timing of taps made by participants attempting to synchronize with these onsets.

Truncation of Pik3r1 causes severe insulin resistance uncoupled from obesity and dyslipidaemia by increased energy expenditure.

Objective: Insulin signalling via phosphoinositide 3-kinase (PI3K) requires PIK3R1-encoded regulatory subunits. C-terminal PIK3R1 mutations cause SHORT syndrome, as well as lipodystrophy and insulin resistance (IR), surprisingly without fatty liver or metabolic dyslipidaemia. We sought to investigate this discordance.

Action plan for improving cardiac rehabilitation-related outcomes in a university hospital based on a review of previous interventions.

Although referral to cardiac rehabilitation (CR) is considered the standard of care and demonstrably reduces both mortality rates and hospital admissions after cardiac events, rates of referral continue to be suboptimal. In fact, national reports reveal rates ranging from approximately 60% to 85% depending on the type of cardiac event. At an urban teaching hospital in Tennessee, efforts to increase referral rates were launched during the first quarter of 2018 as part of the Define, Measure, Analyze, Improve, Control (DMAIC) Project: Acute Myocardial Infarction (AMI) Transition of Care.

Barriers physicians face when referring patients to cardiac rehabilitation: a narrative review.

While cardiac rehabilitation (CR) has been shown to be a beneficial form of secondary prevention for patients with cardiovascular disease, barriers of referral to CR still exist for patients. Barriers that specifically make it difficult for physicians to make the referral could be worthwhile to examine. This narrative review hypothesizes that increasing awareness and education on the various aspects of CR as well as simplifying the referral process could lead to increased referral rates as they target physician-related barriers.

Human biallelic MFN2 mutations induce mitochondrial dysfunction, upper body adipose hyperplasia, and suppression of leptin expression.

MFN2 encodes mitofusin 2, a membrane-bound mediator of mitochondrial membrane fusion and inter-organelle communication. MFN2 mutations cause axonal neuropathy, with associated lipodystrophy only occasionally noted, however homozygosity for the p.Arg707Trp mutation was recently associated with upper body adipose overgrowth.

Caenorhabditis elegans DAF-2 as a Model for Human Insulin Receptoropathies.

Human exome sequencing has dramatically increased the rate of identification of disease-associated polymorphisms. However, examining the functional consequences of those variants has created an analytic bottleneck. Insulin-like signaling in Caenorhabditis elegans has long provided a model to assess consequences of human insulin signaling mutations, but this has not been evaluated in the context of current genetic tools.

Role of PTEN in TNFα induced insulin resistance.

Aims/hypothesis: PTEN may play a reversible role in TNFα induced insulin resistance, which has been linked to obesity-associated insulin resistance (IR).

Methods: Western blots for PTEN and p-Akt were performed on H-411E liver cells incubated with insulin, TNFα, and in selected experiments VO-OHpic vanadium complex in the presence and absence of PTEN siRNA. Total PTEN was compared to β-actin loading control and p-Akt was compared to total Akt.

Male brush-turkeys attempt sexual coercion in unusual circumstances.

Sexual coercion by males is generally understood to have three forms: forced copulation, harassment and intimidation. We studied Australian brush-turkeys, Alectura lathami, to determine whether some male behaviours towards females at incubation mounds could be classified as aggressive, whether males were attempting sexual coercion and, if so, whether the coercion was successful. We found that some male behaviours towards females were significantly more likely to be followed by the cessation of female mound activity, and hence could be classified as aggressive, while others were significantly more likely to be followed by the commencement of female mound activity, and hence could be classified as enticing.

Trends and weekly and seasonal cycles in the rate of errors in the clinical management of hospitalized patients.

Studies on the rate of adverse events in hospitalized patients seldom examine temporal patterns. This study presents evidence of both weekly and annual cycles. The study is based on a large and diverse data set, with nearly 5 yrs of data from a voluntary staff-incident reporting system of a large public health care provider in rural southeastern Australia.

Multilevel latent variable models for global health-related quality of life assessment.

Quality of life (QOL) assessment is a key component of many clinical studies and frequently requires the use of single global summary measures that capture the overall balance of findings from a potentially wide-ranging assessment of QOL issues. We propose and evaluate an irregular multilevel latent variable model suitable for use as a global summary tool for health-related QOL assessments. The proposed model is a multiple indicator and multiple cause style of model with a two-level latent variable structure.

Estimation of the reproductive number for the 2009 pandemic H1N1 influenza in rural and metropolitan New South Wales.

Objective: During the early stages of pandemics, when resource planning occurs, the epidemiological parameters of the agent are often poorly described. These estimates are typically derived from metropolitan centres. This paper examines the spread of the 2009 pandemic H1N1 virus in rural and regional New South Wales compared with metropolitan centres.

Two-step cross-entropy feature selection for microarrays—power through complementarity.

Current feature selection methods for supervised classification of tissue samples from microarray data generally fail to exploit complementary discriminatory power that can be found in sets of features. Using a feature selection method with the computational architecture of the cross-entropy method, including an additional preliminary step ensuring a lower bound on the number of times any feature is considered, we show when testing on a human lymph node data set that there are a significant number of genes that perform well when their complementary power is assessed, but “pass under the radar” of popular feature selection methods that only assess genes individually on a given classification tool. We also show that this phenomenon becomes more apparent as diagnostic specificity of the tissue samples analysed increases.

ChIPseqR: analysis of ChIP-seq experiments.

Background: The use of high-throughput sequencing in combination with chromatin immunoprecipitation (ChIP-seq) has enabled the study of genome-wide protein binding at high resolution. While the amount of data generated from such experiments is steadily increasing, the methods available for their analysis remain limited. Although several algorithms for the analysis of ChIP-seq data have been published they focus almost exclusively on transcription factor studies and are usually not well suited for the analysis of other types of experiments.

Parameter estimation for robust HMM analysis of ChIP-chip data.

Background: Tiling arrays are an important tool for the study of transcriptional activity, protein-DNA interactions and chromatin structure on a genome-wide scale at high resolution. Although hidden Markov models have been used successfully to analyse tiling array data, parameter estimation for these models is typically ad hoc. Especially in the context of ChIP-chip experiments, no standard procedures exist to obtain parameter estimates from the data.