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From the mid-Ordovician into the Late Silurian : Changes in the micrometeorite flux after the L chondrite parent breakup

We present the first reconstruction of the micrometeorite flux to Earth in the Silurian Period. We searched 321 kg of condensed, marine limestone from the Late Silurian Cellon section, southern Austria, for refractory chrome-spinel grains from micrometeorites that fell on the ancient sea floor. A total of 155 extraterrestrial spinel grains (10 grains >63 μm, and 145 in the 32-63 μm fraction) were

Association of specific meniscal pathologies and other structural pathologies with self-reported mechanical symptoms : A cross-sectional study of 566 patients undergoing meniscal surgery

Objectives: We explored associations between specific meniscal pathologies and other concurrent structural knee pathologies with presence of self-reported mechanical symptoms in patients undergoing meniscal surgery. Design: Cross-sectional study. Methods: We included patients undergoing surgery for a meniscal tear from Knee Arthroscopy Cohort Southern Denmark (KACS). Pre-surgery, patients complete

Effects of Age, BMI, anxiety and stress on the parameters of a stochastic model for heart rate variability including respiratory information

Recent studies have focused on investigating different factors that may affect heart rate variability (HRV), pointing especially to the effects of age, gender and stress level. Other findings raise the importance of considering the respiratory frequency in the analysis of HRV signals. In this study, we evaluate the effect of several covariates on the parameters of a stochastic model for HRV. The d

Class discriminator-based EMG classification approach for detection of neuromuscular diseases using discriminator-dependent decision rule (D3R) approach

Classification of EMG signals is essential for diagnosis of motor neuron diseases like neuropathy and myopathy. Although a number of strategies have been implemented for classification, none of them are efficient enough to be implemented in clinical environment. In the present study, we use ensemble approach of support vector machines for classification of three classes (normal, myopathic and neur

The Impact of Living with Parkinson's Disease : Balancing within a Web of Needs and Demands

This study explores the impact of living with Parkinson's disease (PD). Nineteen persons (11 women) aged 55-84 diagnosed with PD 3-27 years ago participated. Data were collected through semistructured interviews, which were recorded, transcribed verbatim, and analysed by qualitative content analysis. Four categories represented the impact of living with PD: "Changed prerequisites for managing day-

Age- and Gender-Specific Normative Values for the Self-Reported Foot and Ankle Score (SEFAS)

BACKGROUND: The Self-Reported Foot and Ankle Score (SEFAS) is a foot- and ankle-specific patient-reported outcome measurement (PROM) score that has been validated with good results for a variety of foot and ankle disorders. SEFAS is sensitive detecting improvement or deterioration after surgery. However, normative values, required to put a specific patient's summary score into perspective, are lac

Orbital modulation of ENSO seasonal phase locking

Modern El Niño-Southern Oscillation (ENSO) events are characterized by their phase locking of variability to the seasonal cycle and tend to peak at the end of calendar year. Here, we show that in an idealized NCAR-CCSM3 simulation of the climate of the last 300,000 years, ENSO seasonal phase locking is shifted periodically following the precessional forcing: ENSO tends to peak in boreal winter whe

Three-dimensional pelvic incidence is much higher in (thoraco)lumbar scoliosis than in controls

Purpose: The pelvic incidence (PI) is used to describe the sagittal spino-pelvic alignment. In previous studies, radiographs were used, leading to less accuracy in establishing the three-dimensional (3D) spino-pelvic parameters. The purpose of this study is to analyze the differences in the 3D sagittal spino-pelvic alignment in adolescent idiopathic scoliosis (AIS) subjects and non-scoliotic contr

Cancer gene silencing network analysis using cellular automata

Identification of cancer pathways is the central goal in the cancer gene expression data analysis. A cellular automaton is a dynamic system with cells, which are uniform, interconnected and discrete in nature. Cellular automata are well-known methods to predict network traffics in cellular spaces. Therefore, to predict cancer pathways involved, we propose a 2-dimensional cellular automata approach

Parallel point symmetry based clustering for gene microarray data

Point symmetry-based clustering is an important unsupervised learning tool for recognizing symmetrical convex or non-convex shaped clusters, even in the microarray datasets. To enable fast clustering of this large data, in this article, a distributed space and time-efficient scalable parallel approach for point symmetry-based K-means algorithm has been proposed. A natural basis for analyzing gene

Sex differences in local adaptation : what can we learn from reciprocal transplant experiments?

Local adaptation is of fundamental interest to evolutionary biologists. Traditionally, local adaptation has been studied using reciprocal transplant experiments to quantify fitness differences between residents and immigrants in pairwise transplants between study populations. Previous studies have detected local adaptation in some cases, but others have shown lack of adaptation or even maladaptati

Streptococcus pyogenes evades adaptive immunity through specific IgG glycan hydrolysis

Streptococcus pyogenes (Group A streptococcus; GAS) is a human pathogen causing diseases from uncomplicated tonsillitis to life-threatening invasive infections. GAS secretes EndoS, an endoglycosidase that specifically cleaves the conserved N-glycan on IgG antibodies. In vitro, removal of this glycan impairs IgG effector functions, but its relevance to GAS infection in vivo is unclear. Using target

Knowledge Resistance : How We Avoid Insight from Others

Why do people and groups ignore, deny and resist knowledge about society's many problems? In a world of 'alternative facts', 'fake news' that some believe could be remedied by 'factfulness', the question has never been more pressing. After years of ideologically polarised debates on this topic, the book seeks to further advance our understanding of the phenomenon of knowledge resistance by integra

Elemental composition of fog interstitial particle size fractions and hydrophobic fractions related to fog droplet nucleation scavenging

The cloud nucleation scavenging process was studied during a joint campaign of the EUROTRAC sub‐project Ground‐based Cloud Experiment. It was found that the particle size has a strong influence on the partitioning of particles between the cloud droplet and the interstitial aerosol reservoirs. A new aerosol sampling unit, the relative humidity processing system, was employed for the extraction of p

Is Super-Fast Broadband Negative? An IV-Estimation of the Broadband Effect on Firms' Sales and Employment Level

This study investigates the relationship between super-fast broadband and firms’ sales and employment level in Sweden. It is important to learn more about this recent technological change and few studies has explored the impact of super-fast broadband on firm outcomes. We use the previous roll-out of second-generation internet access to identify the effect of third-generation internet access. The