Bandwidth enhancement : correcting magnitude and phase distortion in wideband piezoelectric transducer systems

Acoustic ultrasonic measurements are widespread and commonly use transducers exhibiting resonant behaviour due to the piezoelectric nature of their active elements, being designed to give maximum sensitivity in the bandwidth of interest. We present a characterisation of such transducers that provides both magnitude and phase information describing the way in which the receiver responds to a surface displacement over its frequency range. Consequently, these devices work efficiently and linearly over only a very narrow band of their overall frequency range. In turn, this causes phase and magnitude distortion of linear signals. To correct for this distortion, we introduce a software technique, which considers only the input and the final output signals of the whole systemwhich is therefore generally applicable to any acoustic system. By correcting for the distortion of the magnitude and phase responses, we have ensured the signal seen at the receiver replicates the desired signal. We demonstrate a bandwidth extension on the received signal from 60-130 kHz at -6dB to 40-200 kHz at -1dB in a test system. The linear chirp signal we used to demonstrate this method showed the received signal to be almost identical to the desired linear chirp. Such systemcharacterisation will improve ultrasonic techniques when investigating material properties by maximising the accuracy of magnitude and phase estimations

Facilitating Emotional Self-Regulation in Preschool Children: Efficacy of the Early HeartSmarts Program in Promoting Social, Emotional and Cognitive Development

Developed by the Institute of HeartMath (IHM), the Early HeartSmarts (EHS) program is designed to train teachers to guide and support young children (3 -- 6 years old) in learning emotional self-regulation and key age-appropriate socioemotional competencies, with the goal of facilitating their emotional, social and cognitive development. This work reports the results of an evaluation study conducted to assess the efficacy of the EHS program in a pilot implementation of the program carried out during the 2006 -- 2007 academic year in schools of the Salt Lake City School District. The study was conducted using a quasi-experimental longitudinal field research design with three measurement moments (baseline and pre- and post-intervention panels) using The Creative Curriculum Assessment (TCCA) instrument, a teacher-scored, 50-item instrument measuring student growth in four areas of development -- social/emotional, physical, cognitive and language development. Children in nineteen preschool classrooms were divided into intervention and control group samples (N = 66 and 309, respectively; mean age = 3.6 years), in which classes in the former were specifically selected to target children of lower socioeconomic and ethnic minority family backgrounds. Overall, there is compelling evidence of the efficacy of the EHS program in increasing total psychosocial development and each of the four development areas measured by the TCCA: the results of a series of ANCOVAs found a strong, consistent pattern of significant differences on the development measures favoring preschool children who received the EHS program over those in the control group who did not

Reducing Test Anxiety and Improving Test Performance in American's Schools: Summary of Results From The TestEdge National Demonstration Study Executive Summary

This Executive Summary provides an overview of the purpose, research methods, and major findings of the TestEdge National Demonstration Study, conducted by researchers at the Institute of HeartMath in collaboration with faculty and graduate students at Claremont Graduate University. The study's primary purpose was to investigate the efficacy of the TestEdge program in reducing stress and test anxiety and improving emotional well-being, quality of relationships, and academic performance in public school students

Reducing Test Anxiety and Improving Test Performance in American's Schools: Summary of Results From The TestEdge National Demonstration Study

This study determined the correlates and consequences of stress and test anxiety in a large sample of students (980) and investigated the effects of HeartMath tools among 636 of them who were part of an experimental group compared to the other 344 who were in a control group. Teachers received instruction in the Resilient Educator(R), which is designed to boost teacher performance, strengthen resiliency and improve school relationships, and students participated in the TestEdge(R) program, which features tools for reducing stress and test anxiety, improving academic performance and enhancing emotional and relational competence.The study tested two major hypotheses:Enhanced competence in emotional management through learning and practicing the TestEdge tools would result in significant improvements in student emotional self-regulation and psychophysiological coherence. These changes would produce a marked reduction in test anxiety and generate a corresponding improvement in academic and test performance.There would be associated improvements in stress management, emotional stability, and overall student well-being, as well as improvements in classroom climate, organization and function.We found consistent evidence of positive effects from the intervention on the students at the intervention school when their stress levels, emotional stability and the results of other measures were compared with those of students at the control school. Students in the experimental group had acquired the ability to self-activate the coherent state prior to taking an important test. This ability to self-activate coherence was associated with significant reductions in test anxiety and corresponding improvements in measures of emotional disposition

A route to decreasing N pollution from livestock:Use of Festulolium hybrids improves efficiency of N flows in rumen simulation fermenters

Ruminant agriculture suffers from inefficient capture of forage protein and consequential release of N pollutants to land. This is due to proteolysis in the rumen catalyzed by both microbial but initially endogenous plant proteases. Plant breeding-based solutions are sought to minimize these negative environmental impacts. The aim of this study was to perform an integrated study of rumen N metabolism using semi-continuous rumen simulation fermenters (Rusitec) to explore the extent to which swards containing Festulolium populations (interspecific hybrids between Lolium and Festuca grass species) with decreased rates of endogenous protein degradation conferred advantageous protein utilization in comparison with a National Listed perennial ryegrass. An in vitro experiment was conducted using three Festulolium hybrids (Lolium perenne × Festuca arundinacea var. glaucescens, LpFg; Lolium perenne × Festuca mairei, LpFm; and Lolium multiflorum × Festuca arundinacea var. glaucescens, LmFg) and a Lolium perenne, Lp control. LpFm and LmFg demonstrated significantly lower plant-mediated proteolysis than the control. Fresh forage was incubated in Rusitec with rumen fluid from four donor cows. Feed disappearance and production of gas, methane, and volatile fatty acids were similar across cultivars. Whereas no differences in microbial protein synthesis were noted across treatments during early fermentation (0–6 hr after feeding), an increased microbial N flow in LpFm (+30%) and LmFg hybrids (+41%) was observed during late fermentation (6–24 hr after feeding), with higher overall microbial N flows (+13.5% and + 20.2%, respectively) compared with the control (Lp). We propose an underpinning mechanism involving the partitioning of amino acid catabolism toward branched-chain amino acids and microbial protein synthesis in grasses with slow plant-mediated proteolysis instead of accumulation of rumen ammonia in grasses with fast plant-mediated proteolysis. These observations indicate the potential of Festulolium hybrids with a slow plant-mediated proteolysis trait to improve the efficiency of capture of forage protein and decrease the release of N pollutants onto the land.The authors thank the field work staff for growth and maintenance of field plots of the grass material, the staff at Trawsgoed “D‐unit” for provision of rumen fluid, Delma Jones and the staff of Analytical Chemistry for forage quality analysis, Susan Girdwood for VFA analysis, and Debbie Allen for 15N analyses. This work was funded by BBSRC (BBS/E/W/10964; BBS/E/W/0012843D) and Aberystwyth University (SK). Biotechnology and Biological Sciences Research Council. Grant Numbers: BBS/E/W/0012843D, BBS/E/W/1096

Minkowski's Object: A Starburst Triggered by a Radio Jet, Revisited

We present neutral hydrogen, ultraviolet, optical and near-infrared imaging, and optical spectroscopy, of Minkowski's Object (MO), a star forming peculiar galaxy near NGC 541. The observations strengthen evidence that star formation in MO was triggered by the radio jet from NGC 541. Key new results are the discovery of a 4.9E8 solar mass double HI cloud straddling the radio jet downstream from MO, where the jet changes direction and decollimates; strong detections of MO, also showing double structure, in UV and H-alpha; and numerous HII regions and associated clusters in MO. In UV, MO resembles the radio-aligned, rest-frame UV morphologies in many high redshift radio galaxies (HzRGs), also thought to be caused by jet-induced star formation. MO's stellar population is dominated by a 7.5 Myr-old, 1.9E7 solar mass instantaneous burst, with current star formation rate 0.52 solar masses per year (concentrated upstream from where the HI column density is high). This is unlike the jet-induced star formation in Centaurus A, where the jet interacts with pre-existing cold gas; in MO the HI may have cooled out of a warmer, clumpy intergalactic or interstellar medium as a result of jet interaction, followed by collapse of the cooling clouds and subsequent star formation (consistent with numerical simulations). Since the radio source that triggered star formation in MO is much less luminous, and therefore more common, than powerful HzRGs, and because the environment around MO is not particularly special in terms of abundant dense, cold gas, jet-induced star formation in the early universe might be even more prevalent than previously thought.Comment: 52 pages, 15 figures, accepted for publication in Ap

Graduate Entry Medicine: Selection Criteria and Student Performance

Background: Graduate entry medicine raises new questions about the suitability of students with different backgrounds. We examine this, and the broader issue of effectiveness of selection and assessment procedures. Methods: The data included background characteristics, academic record, interview score and performance in pre-clinical modular assessment for two years intake of graduate entry medical students. Exploratory factor analysis is a powerful method for reducing a large number of measures to a smaller group of underlying factors. It was used here to identify patterns within and between the selection and performance data. Principal Findings: Basic background characteristics were of little importance in predicting exam success. However, easily interpreted components were detected within variables comprising the ‘selection ’ and ‘assessment ’ criteria. Three selection components were identified (‘Academic’, ‘GAMSAT’, ‘Interview’) and four assessment components (‘General Exam’, ‘Oncology’, ‘OSCE’, ‘Family Case Study’). There was a striking lack of relationships between most selection and performance factors. Only ‘General Exam ’ and ‘Academic ’ showed a correlation (Pearson’s r = 0.55, p,0.001). Conclusions: This study raises questions about methods of student selection and their effectiveness in predicting performance and assessing suitability for a medical career. Admissions tests and most exams only confirmed previous academic achievement, while interview scores were not correlated with any consequent assessment

Obtaining structured clinical data from unstructured data using natural language processing software

ABSTRACT Background Free text documents in healthcare settings contain a wealth of information not captured in electronic healthcare records (EHRs). Epilepsy clinic letters are an example of an unstructured data source containing a large amount of intricate disease information. Extracting meaningful and contextually correct clinical information from free text sources, to enhance EHRs, remains a significant challenge. SCANR (Swansea University Collaborative in the Analysis of NLP Research) was set up to use natural language processing (NLP) technology to extract structured data from unstructured sources. IBM Watson Content Analytics software (ICA) uses NLP technology. It enables users to define annotations based on dictionaries and language characteristics to create parsing rules that highlight relevant items. These include clinical details such as symptoms and diagnoses, medication and test results, as well as personal identifiers.   Approach To use ICA to build a pipeline to accurately extract detailed epilepsy information from clinic letters. Methods We used ICA to retrieve important epilepsy information from 41 pseudo-anonymized unstructured epilepsy clinic letters. The 41 letters consisted of 13 ‘new’ and 28 ‘follow-up’ letters (for 15 different patients) written by 12 different doctors in different styles. We designed dictionaries and annotators to enable ICA to extract epilepsy type (focal, generalized or unclassified), epilepsy cause, age of onset, investigation results (EEG, CT and MRI), medication, and clinic date. Epilepsy clinicians assessed the accuracy of the pipeline. Results The accuracy (sensitivity, specificity) of each concept was: epilepsy diagnosis 98% (97%, 100%), focal epilepsy 100%, generalized epilepsy 98% (93%, 100%), medication 95% (93%, 100%), age of onset 100% and clinic date 95% (95%, 100%). Precision and recall for each concept were respectively, 98% and 97% for epilepsy diagnosis, 100% each for focal epilepsy, 100% and 93% for generalized epilepsy, 100% each for age of onset, 100% and 93% for medication, 100% and 96% for EEG results, 100% and 83% for MRI scan results, and 100% and 95% for clinic date. Conclusions ICA is capable of extracting detailed, structured epilepsy information from unstructured clinic letters to a high degree of accuracy. This data can be used to populate relational databases and be linked to EHRs. Researchers can build in custom rules to identify concepts of interest from letters and produce structured information. We plan to extend our work to hundreds and then thousands of clinic letters, to provide phenotypically rich epilepsy data to link with other anonymised, routinely collected data

An anatomy of economic inequality in the UK: report of the National Equality Panel.

Britain is an unequal country, more so than many other industrial countries and more so than a generation ago. This is manifest in many ways - most obviously in the gap between those who are well off and those who are less well off. But inequalities in people's economic positions are also related to their characteristics - whether they are men or women, their ages, ethnic backgrounds, and so on. The independent National Equality Panel, was established at the invitation of the Rt. Hon. Harriet Harman, Minister for Equality to report on the relationships between inequalities in economic outcomes and differences related to people's characteristics.