Corruption, Income Inequality, and Poverty in the United States

In this study we analyze the effects of corruption on income inequality and poverty. Our analysis advances the existing literature in four ways. First, instead of using corruption indices assembled by various investment risk services, we use an objective measure of corruption: the number of public officials convicted in a state for crimes related to corruption. Second, we use all commonly used inequality and poverty measures including various Atkinson indexes, Gini index, standard deviation of the logarithms, relative mean deviation, coefficient of variation, and the poverty rate defined by the U.S. Census Bureau. Third, we minimize the problems which are likely to arise due to data incomparability by examining the differences in income inequality, and poverty across U.S. states. Finally, we exploit both time series and cross sectional variation in the data. We find robust evidence that an increase in corruption increases income inequality and poverty.Corruption, Income Inequality, Poverty

Electrochemical microfluidic multiplexed biosensor platform for point-of-care testing

Early and accurate diagnosis of a specific disease plays a decisive role for its effective treatment. However, in many cases the clinical findings, based on a single biomarker detection alone, are not sufficient for the appropriate diagnosis as well as monitoring of its treatment. Furthermore, it is highly desirable to screen multi-analytes (e.g. various diseases and drugs) at the same time enabling a low-cost, quick and reliable quantification. Thus, multiplexing, simultaneous detection of different analytes from a single sample, has become in recent years essential for diagnostics, especially for point-of-care testing (POCT). This thesis focuses on the scientific issue regarding the sensitivity enhancement of microfluidic biosensor platforms. Simulations, design studies and experiments are employed to investigate the interplay between the immobilization area and the resulting sensitivity. Thereby, a novel concept comprising design rules for microfluidic biosensors using the stop-flow technique has been introduced. In combination with different technical measures it allows the realization of an electrochemical lab-on-a-chip (LOC) platform for the fast, sensitive and simultaneous POCT in clinically relevant samples. This system employs a universally applicable, bioaffinity based biomolecule immobilization along with an amperometric readout. By means of the dry film photoresist technology, the fabrication of disposable microfluidic biosensors is enabled with high yield on wafer-level. The presented LOC platform offers three different biosensors with a microfluidic channel network of two, four or eight discrete immobilization sections, each with a volume of 680  nl. They can be actuated by individual channel inlets allowing a high flexibility in the assay design with respect to its format (e.g. competitive) and its technology (e.g. genomics). The feasibility for multiplexing is successfully demonstrated with DNA-based antibiotic assays for tetracycline and streptogramin, both important growth promoters in livestock breeding. The extensive usage of antibiotics is one of the major causes of the multi-drug-resistant bacteria and so, it has to be kept under surveillance. This platform allows the simultaneous POCT of different antibiotics from human plasma along with a limit of detection of less than 10  ng  ml⁻¹, a wide working range up to 1,600  ng ml⁻¹ and inter-assay precisions of about 10  %. Moreover, the microfluidic LOC system provides a low consumption of reagent and sample, reduces the total assay time drastically with a sample-to-result time of only 10  min. The shelf-life of the biosensors is proven to be at least 3 months at +4  °C. The introduced design concept with specific technical measures facilitates the implementation of microfluidic multiplexed biosensors in a low-cost, compact, and at the same time sensitive manner. This platform targets the POCT in the first place, yet, owing to its multiplexing approach it can be expanded for in vitro diagnostics

Wind, jet, hybrid corona and hard X-ray flares: multiwavelength evolution of GRO J1655-40 during the 2005 outburst rise

We have investigated the complex multiwavelength evolution of GRO J1655-40 during the rise of its 2005 outburst. We detected two hard X-ray flares, the first one during the transition from the soft state to the ultra-soft state, and the second one in the ultra-soft state. The first X-ray flare coincided with an optically thin radio flare. We also observed a hint of increased radio emission during the second X-ray flare. To explain the hard flares without invoking a secondary emission component, we fit the entire data set with the eqpair model. This single, hybrid Comptonization model sufficiently fits the data even during the hard X-ray flares if we allow reflection fractions greater than unity. In this case, the hard X-ray flares correspond to a Comptonizing corona dominated by non-thermal electrons. The fits also require absorption features in the soft and ultra-soft state which are likely due to a wind. In this work we show that the wind and the optically thin radio flare co-exist. Finally, we have also investigated the radio to optical spectral energy distribution, tracking the radio spectral evolution through the quenching of the compact jet and rise of the optically thin flare, and interpreted all data using state transition models.Comment: 16 pages, 11 figure

Corruption, Decentralization and Yardstick Competition

16 p.Several empirical studies have found a negative relationship between corruption and the decentralization of the powers to tax and spend. In this paper we explain this phenomenon using a model of Yardstick Competition. Further, using data on government corruption in US states, we provide some new evidence that supports the theoretical findings

High Performance Fortran and Possible Extensions to support Conjugate Gradient Algorithms

We evaluate the High-Performance Fortran (HPF) language for the compact expression and efficient implementation of conjugate gradient iterative matrix-solvers on High Performance Computing and Communications(HPCC) platforms. We discuss the use of intrinsic functions, data distribution directives and explicitly parallel constructs to optimize performance by minimizing communications requirements in a portable manner. We focus on implementations using the existing HPF definitions but also discuss issues arising that may influence a revised definition for HPF-2. Some of the codes discussed are available on the World Wide Web at http://www.npac.syr.edu/hpfa/ alongwith other educational and discussion material related to applications in HPF

Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients

Glioblastoma (GBM) is an aggressive central nervous system tumor with a poor prognosis. This study was conducted to determine any comorbid medical conditions that are associated with survival in GBM. Data were collected from medical records of all patients who presented to VCU Medical Center with GBM between January 2005 and February 2015. Patients who underwent surgery/biopsy were considered for inclusion. Cox proportional hazards regression modeling was performed to assess the relationship between survival and sex, race, and comorbid medical conditions. 163 patients met inclusion criteria. Comorbidities associated with survival on individual-characteristic analysis included: history of asthma (Hazard Ratio [HR]: 2.63; 95% Confidence Interval [CI]: 1.24–5.58; p = 0.01), hypercholesterolemia (HR: 1.95; 95% CI: 1.09–3.50; p = 0.02), and incontinence (HR: 2.29; 95% CI: 0.95–5.57; p = 0.07). History of asthma (HR: 2.22; 95% CI: 1.02–4.83; p = 0.04) and hypercholesterolemia (HR: 1.99; 95% CI: 1.11–3.56; p = 0.02) were associated with shorter survival on multivariable analysis. Surgical patients with GBM who had a prior history of asthma or hypercholesterolemia had significantly higher relative risk for mortality on individual-characteristic and multivariable analyses

Sonocrystallisation of Lactose in an Aqueous System

Although research on sonocrystallisation of lactose has been reported in the literature (yield and crystal size), the effect of ultrasound variables on nucleation and growth rate of lactose have not been studied. In this study, lactose crystallisation with ultrasound was compared with mechanical agitation using the induction time method at 22 °C. Ultrasound had a significant effect in reducing induction times and narrowing the metastable zone width but had no effect on individual crystal growth rate or morphology. A rapid decrease in induction time was observed up to 0.46 Wg-1 power density. Sonication up to 3 min decreased the induction time, but no further reduction was observed beyond 3 min. It was not possible to generate the nucleation rates achieved by sonication using agitation alone. 1 min sonication at 0.46 Wg1 power density followed by continuous stirring was found to be the optimum under the experimental conditions tested

Toward Continuous Monitoring of Breath Biochemistry: A Paper-Based Wearable Sensor for Real-Time Hydrogen Peroxide Measurement in Simulated Breath

Exhaled breath contains a large amount of biochemical and physiological information concerning one’s health and provides an alternative route to noninvasive medical diagnosis of diseases. In the case of lung diseases, hydrogen peroxide (H2O2) is an important biomarker associated with asthma, chronic obstructive pulmonary disease, and lung cancer and can be detected in exhaled breath. The current method of breath analysis involves condensation of exhaled breath, is not continuous or real time, and requires two separate and bulky devices, complicating the periodic or long-term monitoring of a patient. We report the first disposable paper-based electrochemical wearable sensor that can monitor exhaled H2O2 in artificial breath calibration-free and continuously, in real time, and can be integrated into a commercial respiratory mask for on-site testing of exhaled breath. To improve precision for sensing H2O2, we perform differential electrochemical measurement by amperometry in which screen-printed Prussian Blue-mediated and nonmediated carbon electrodes are used for differential analysis. We were able to measure H2O2 in simulated breath in a concentration-dependent manner in real time, confirming its functionality. This proposed system is versatile, and by modifying the chemistry of the sensing electrodes, our method of differential sensing can be extended to continuous monitoring of other analytes in exhaled breath