Optimization of a Diagnostic Platform for Oxidation-Reduction Potential (ORP) Measurement in Human Plasma and Exploration of ORP after Trauma

Oxidation-reduction potential (ORP) measurement has demonstrated oxidative stress in patients with severe illness/injury. A new ORP diagnostic platform using disposable sensors (Supplemental Figure 1) has been validated by comparison to mass spectrometry, but the response of ORP to experimental positive and negative control conditions has not been determined. Furthermore, optimal methods of sample handling for ORP measurement have not been studied. We sought to optimize ORP measurement in human plasma, under controlled conditions. We hypothesized that freeze-thawing of the sample, storage of the sample for up to one month, and the method of sample anticoagulation would influence ORP levels. Furthermore, we hypothesized that ORP can detect incremental experimental changes that either increase or decrease redox state. Finally, we hypothesized that trauma injuries cause increased levels of reactive oxygen species (ROS) in the circulating bloodstream, and therefore would reflect higher ORP signals in plasma measurements in both human and mouse subjects. We enrolled healthy human volunteers in a prospective observational study and measured ORP in plasma prepared with heparin or citrate anticoagulants directly after blood draw and up to 28 days later. Additionally, we evaluated the platform’s ability to detect an exogenous increase and decrease in ORP by performing both positive and negative control titrations using six different concentrations of hydrogen peroxide (H2O2) and two different concentrations of ascorbic acid respectively. Lastly, we compared human trauma plasma samples in an uncontrolled emergency room setting with healthy human plasma and then mimicked this experiment in a more controlled mouse model experiment. We found that fresh plasma better retains the ORP signal as compared to freeze-thaw samples measured on subsequent days. We also found that the platform can detect exogenous, concentration-dependent oxidations with H2O2 and reductions with ascorbic acid. Furthermore, plasma prepared with heparin is more sensitive than using citrate anticoagulant when measuring ORP. Also, human trauma patients’ plasma (of varying degrees of trauma) samples were characterized by significantly higher ORP signals than healthy controls when measured in heparin anticoagulant, whereas mouse ORP signals did not change following a controlled, moderate traumatic brain injury. These data indicate that the diagnostic platform is capable of detecting exogenous increases and decreases in ORP signal from plasma samples with validity and is sensitive to different concentrations of positive and negative controls. We also show that plasma should be collected and centrifuged in heparin anticoagulant tubes and can be analyzed fresh or frozen for optimal results

STRUCTURE OF SOUTH CENTRAL AGRICULTURAL PRODUCTION

Using a dual economic specification of a multiproduct technology, the structure of agricultural production was tested for five South Central states (Texas, Oklahoma, Arkansas, Mississippi, and Louisiana). A comprehensive set of output supplies and input demands comprised the estimation equations in each state. Evidence of nonjoint production in a subset of commodities was detected in four of the five states. Several commodities also satisfied sufficient conditions for consistent aggregations. However, the specific outputs satisfying each structural property varied by state. Sufficient conditions for consistent geographic aggregation across the states were not satisfied. These results provide empirical guidance and important cautions for legitimately simplifying state-level model specifications of southern agricultural production.Industrial Organization,

Particle Learning for General Mixtures

This paper develops particle learning (PL) methods for the estimation of general mixture models. The approach is distinguished from alternative particle filtering methods in two major ways. First, each iteration begins by resampling particles according to posterior predictive probability, leading to a more efficient set for propagation. Second, each particle tracks only the "essential state vector" thus leading to reduced dimensional inference. In addition, we describe how the approach will apply to more general mixture models of current interest in the literature; it is hoped that this will inspire a greater number of researchers to adopt sequential Monte Carlo methods for fitting their sophisticated mixture based models. Finally, we show that PL leads to straight forward tools for marginal likelihood calculation and posterior cluster allocation.Business Administratio

Fingerprints of changes in annual and seasonal precipitation from CMIP5 models over land and ocean

By comparing annual and seasonal changes in precipitation over land and ocean since 1950 simulated by the CMIP5 (Coupled Model Intercomparison Project, phase 5) climate models in which natural and anthropogenic forcings have been included, we find that clear global-scale and regional-scale changes due to human influence are expected to have occurred over both land and ocean. These include moistening over northern high latitude land and ocean throughout all seasons and over the northern subtropical oceans during boreal winter. However we show that this signal of human influence is less distinct when considered over the relatively small area of land for which there are adequate observations to make assessments of multi-decadal scale trends. These results imply that extensive and significant changes in precipitation over the land and ocean may have already happened, even though, inadequacies in observations in some parts of the world make it difficult to identify conclusively such a human fingerprint on the global water cycle. In some regions and seasons, due to aliasing of different kinds of variability as a result of sub sampling by the sparse and changing observational coverage, observed trends appear to have been increased, underscoring the difficulties of interpreting the apparent magnitude of observed changes in precipitation

Effects of boundary roughness on a Q-factor of whispering-gallery-mode lasing microdisk cavities

We perform numerical studies of the effect of sidewall imperfections on the resonant state broadening of the optical microdisk cavities for lasing applications. We demonstrate that even small edge roughness causes a drastic degradation of high-Q whispering gallery (WG) mode resonances reducing their Q-values by many orders of magnitude. At the same time, low-Q WG resonances are rather insensitive to the surface roughness. The results of numerical simulation obtained using the scattering matrix technique, are analyzed and explained in terms of wave reflection at a curved dielectric interface combined with the examination of Poincare surface of sections in the classical ray picture.Comment: 4 pages, 3 figure

Freezing by Monte Carlo Phase-Switch

We describe a Monte Carlo procedure which allows sampling of the disjoint configuration spaces associated with crystalline and fluid phases, within a single simulation. The method utilises biased sampling techniques to enhance the probabilities of gateway states (in each phase) which are such that a global switch (to the other phase) can be implemented. Equilibrium freezing-point parameters can be determined directly; statistical uncertainties prescribed transparently; and finite-size effects quantified systematically. The method is potentially quite general; we apply it to the freezing of hard spheres.Comment: 5 pages, 2 figure

Towards Better Integrators for Dissipative Particle Dynamics Simulations

Coarse-grained models that preserve hydrodynamics provide a natural approach to study collective properties of soft-matter systems. Here, we demonstrate that commonly used integration schemes in dissipative particle dynamics give rise to pronounced artifacts in physical quantities such as the compressibility and the diffusion coefficient. We assess the quality of these integration schemes, including variants based on a recently suggested self-consistent approach, and examine their relative performance. Implications of integrator-induced effects are discussed.Comment: 4 pages, 3 figures, 2 tables, accepted for publication in Phys. Rev. E (Rapid Communication), tentative publication issue: 01 Dec 200

Estimation of Radiation Dosimetry for 68Ga-HBED-CC (PSMA-11) in Patients with Suspected Recurrence of Prostate Cancer

Introduction This study was performed to estimate the human radiation dosimetry for [68Ga]Ga-HBED-CC (PSMA-11) (68Ga PSMA-11). Methods Under an RDRC-approved research protocol, we evaluated the biodistribution and pharmacokinetics of 68Ga PSMA-11 with serial PET imaging following intravenous administration to nine prostate cancer patients in whom clinical [11C]acetate PET/CT exams had been independently performed under Expanded Access IND 118,204. List-mode imaging was performed over the initial 0–10 min post-injection with the pelvis in the field-of-view. Whole-body images were acquired, pelvis-to-head, at 15, 60, and 90-min post-injection. Additional images of the pelvis were acquired at 40-min and 115-min, and voided urine collected from each subject at 48-min and 120-min post-injection. Radiation dosimetry estimates were calculated from these data using the OLINDA software package. Results Renal uptake was high and relatively invariant, ranging from 11% to 14% of the injected dose between 15 and 90-min post-injection. Radioactivity collected in the voided urine accounted for 14% of the injected dose over a period of 120-min. Lymph nodes and skeletal metastases suspicious for prostate cancer recurrence were detected in a greater number of patients using 68Ga PSMA-11 than using 11C-acetate. Conclusion Kidneys are the critical organ following 68Ga PSMA-11 administration, receiving an estimated dose of 0.413 mGy/MBq. Advances in knowledge and implications for patient care This study confirms that the kidneys will be the critical organ following intravenous administration of 68Ga PSMA-11, and provided data consistent with the expectation that 68Ga PSMA-11 will be superior to [11C]acetate for defining sites of recurrence in prostate cancer patients presenting with biochemical relapse

The TIGRE gamma-ray telescope

TIGRE is an advanced telescope for gamma-ray astronomy with a few arcmin resolution. From 0.3 to 10 MeV it is a Compton telescope. Above 1 MeV, its multi-layers of double sided silicon strip detectors allow for Compton recoil electron tracking and the unique determination for incident photon direction. From 10 to 100 MeV the tracking feature is utilized for gamma-ray pair event reconstruction. Here we present TIGRE energy resolutions, background simulations and the development of the electronics readout system