Plasma parameter characterization of a reflex plasma source operating in oxygen

A reflex discharge plasma, obtained as a hybrid between a Penning discharge plasma (PDP) and a hollow-cathode discharge (HCD) plasma, is analysed as a possible direction-current, high-density plasma source. The experiment is run in oxygen at pressures of 10 mTorr and 1 mTorr, and for discharge currents of 100 to 200 mA. Although the gas pressure is considerably lower than those used in HCDs, the hollow-cathode effect (HCE) occurs for current levels higher than 100 mA and leads to plasma densities comparable with those obtained using inductive plasma sources. The presence of a constant magnetic field leads to the enhancement of electron emission from cathodes under ion bombardment, and to the decreasing of the ion loss by diffusion to the wall.

STUDY OF THE DISCHARGE OF A MULTICUSP ION-SOURCE OPERATING WITH H2 AND D2

The plasma parameters and relative positive and negative ion concentrations in a small, filtered, multicusp ion source, operating at low plasma density (

The impact of nonadherence to inhaled long-acting β - adrenoceptor agonist/corticosteroid combination therapy on healthcare costs in difficult-to-control asthma

Background: Asthma is a leading, preventable cause of morbidity, mortality and cost. A disproportionate amount of the cost is generated by the 5-10%of patients with difficult-to-control asthma, who are prescribed treatment at step 4/5 of the Global Initiative for Asthma (GINA) guidelines. We have previously demonstrated a high prevalence of nonadherence to inhaled combination therapy (i.e. long-acting ß -adrenoceptor agonist [ß - agonist] and corticosteroid) in this population. The aim of this study was to examine the costs of healthcare utilization in a nonadherent group of patients with difficult-to-control asthma compared with adherent subjects. We also wished to examine potential savings if nonadherence to inhaled combination therapy could be addressed. All costs were measured from the perspective of a publicly funded health service Methods: Adherence was determined through examination of patient prescription refill behaviour and validated with a medical concordance interview. Data on healthcare use were collected from a patient survey and hospital records that included prescribed medicines, hospital admissions, intensive care unit (ICU) admissions and other unscheduled healthcare visits associated with asthma care. Activity was monetized using standard UK references and between-group comparisons based on a series of univariate and multivariate regression analyses. Results: Cost differences were identified for inhaled combination therapy, nebulizer, short acting b2-agonists and hospital costs excluding and including ICU admissions between adherent and nonadherent subjects. Compared with a group who have refractory asthma and who are adherent with medication, additional healthcare costs in nonadherent subjects are offset by the reduction in costs associated with reduced medication utilization. However, if nonadherence can be successfully targeted and hospital admissions avoided in this population, there is a potential $475 ($843-$368) saving per patient, per annum. Conclusion: Nonadherence is an important cause of difficult-to-control asthma. A uniform cost for subjects with difficult-to-control disease can be applied to economic analyses, independent of adherence, as increased healthcare utilization costs are offset by the reduced medication cost due to poor adherence. However, there are substantial potential savings in subjects with difficult-to-control asthma, who are nonadherent to inhaled combination therapy, if cost effective strategies for nonadherence are developed. © 2011 Adis Data Information BV. All rights reserved.

Hidden costs of control: four repetitions and an extension

We report four repetitions of Falk and Kosfeld's (Am. Econ. Rev. 96(5):1611-1630, 2006) low and medium control treatments with 476 subjects. Each repetition employs a sample drawn from a standard subject pool of students and demographics vary across samples. We largely confirm the existence of hidden costs of control but, contrary to the original study, hidden costs of control are usually not substantial enough to significantly undermine the effectiveness of economic incentives. Our subjects were asked, at the end of the experimental session, to complete a questionnaire in which they had to state their work motivation in hypothetical scenarios. Our questionnaires are identical to the ones administered in Falk and Kosfeld's (Am. Econ. Rev. 96(5):1611-1630, 2006) questionnaire study. In contrast to the game play data, our questionnaire data are similar to those of the original questionnaire study. In an attempt to solve this puzzle, we report an extension with 228 subjects where performance-contingent earnings are absent i.e. both principals and agents are paid according to a flat participation fee. We observe that hidden costs significantly outweigh benefits of control under hypothetical incentives.

Estimating the costs of medicalization

Medicalization is the process by which non-medical problems become defined and treated as medical problems, usually as illnesses or disorders. There has been growing concern with the possibility that medicalization is driving increased health care costs. In this paper we estimate the medical spending in the U.S. of identified medicalized conditions at approximately 77 billion in 2005, 3.9% of total domestic expenditures on health care. This estimate is based on the direct costs associated with twelve medicalized conditions. Although due to data limitations this estimate does not include all medicalized conditions, it can inform future debates about health care spending and medicalization.

Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data

Background: Ineffective risk stratification can delay diagnosis of serious disease in patients with hematuria. We applied a systems biology approach to analyze clinical, demographic and biomarker measurements (n = 29) collected from 157 hematuric patients: 80 urothelial cancer (UC) and 77 controls with confounding pathologies.

Methods: On the basis of biomarkers, we conducted agglomerative hierarchical clustering to identify patient and biomarker clusters. We then explored the relationship between the patient clusters and clinical characteristics using Chi-square analyses. We determined classification errors and areas under the receiver operating curve of Random Forest Classifiers (RFC) for patient subpopulations using the biomarker clusters to reduce the dimensionality of the data.

Results: Agglomerative clustering identified five patient clusters and seven biomarker clusters. Final diagnoses categories were non-randomly distributed across the five patient clusters. In addition, two of the patient clusters were enriched with patients with ‘low cancer-risk’ characteristics. The biomarkers which contributed to the diagnostic classifiers for these two patient clusters were similar. In contrast, three of the patient clusters were significantly enriched with patients harboring ‘high cancer-risk” characteristics including proteinuria, aggressive pathological stage and grade, and malignant cytology. Patients in these three clusters included controls, that is, patients with other serious disease and patients with cancers other than UC. Biomarkers which contributed to the diagnostic classifiers for the largest ‘high cancer- risk’ cluster were different than those contributing to the classifiers for the ‘low cancer-risk’ clusters. Biomarkers which contributed to subpopulations that were split according to smoking status, gender and medication were different.

Conclusions: The systems biology approach applied in this study allowed the hematuric patients to cluster naturally on the basis of the heterogeneity within their biomarker data, into five distinct risk subpopulations. Our findings highlight an approach with the promise to unlock the potential of biomarkers. This will be especially valuable in the field of diagnostic bladder cancer where biomarkers are urgently required. Clinicians could interpret risk classification scores in the context of clinical parameters at the time of triage. This could reduce cystoscopies and enable priority diagnosis of aggressive diseases, leading to improved patient outcomes at reduced costs. © 2013 Emmert-Streib et al; licensee BioMed Central Ltd.

High-efficiency low-voltage-stress Class-EF PA with extended maximum operating frequency

The Class-EF power amplifier (PA) introduced recently has a peak switch voltage much lower than the well-known Class-E PA. However, the value of the transistor output capacitance at high frequencies is typically larger than the required Class-EF optimum shunt capacitance. As a result, softswitching operation that minimizes power dissipation during OFF-to-ON transient cannot be achieved at high frequencies. A novel Class-EF topology with transmission-line load network proposed in this paper allows the PA to operate at much higher frequencies without trading the other figures of merit. Closed-form formulations are derived to simultaneously satisfy the Class-EF impedances requirement at fundamental frequency, all even harmonics, and the first two odd harmonics as well as to provide matching to 50O load. © 2011 Institut fur Mikrowellen.