Nitric Oxide Synthase in Confined Environments;Detection and Quantification of Nitric Oxide Released from Cells and Modified Liposomes Using a Sensitive Metal Catalyst-Pedot Modified Carbon Fiber Electrode

Nitric oxide (NO) is a freely diffusible, gaseous free radical, associated with many physiological and pathological processes that include neuronal signaling, immune response, and inflammatory response. NO is produced from L-arginine in an NADPH-dependent reaction catalyzed by a family of nitric oxide synthase (NOS) enzymes. A deficiency in NO plays a role in hypertension, hyperglycaemia, and arteriosclerosis, among other pathological states. Conversely, increased NO levels contribute to arthritis, septic shock, and hypotention. Therefore, measuring and quantifying NO production in biological systems and matrices may be vital in elucidating physiological and pathological processes. The goal of this work is to develop an ultra-sensitive and selective electrochemical sensor taking advantage of NO-sulfur chemistry. In particular, electropolymerizing 3,4-ethylenedioxythiophene (EDOT) monomers on the surface of our electrodes yield a suitable sulfur-based polymer PEDOT to be used as an affinity matrix for NO sensing. In other work, we have shown that the ruthenium (Ru) mediates the catalytic oxidation of NO. In this work, we tried to achieve improved sensitivity by combining both Ru nanoparticles and PEDOT using the layer-by-layer (LBL) modification method. Further, to eliminate interferences the Ru-PEDOT-Ru modified carbon fiber was coated with a nafion layer, which acts as an anionic filter. We used our NO-sensor to accurately monitor NO release from mouse embryonic fibroblast cells as well as isolated single human umbilical vein endothelial cells. A second part of this work focused on testing the performance of our sensors in characterizing NO release from liposomes with confined NOS enzyme. Liposomes are spherical, closed, self-assembled phospholipids, which enclose part of the surrounding solvent in their interior. Liposomes can enclose an aqueous medium separate from the external aqueous medium. Therefore, liposomes can be used as carriers of enzymes (NOS in this case) without negative impact on the molecular

Nitric Oxide Synthase in Confined Environments;Detection and Quantification of Nitric Oxide Released from Cells and Modified Liposomes Using a Sensitive Metal Catalyst-Pedot Modified Carbon Fiber Electrode

Nitric oxide (NO) is a freely diffusible, gaseous free radical, associated with many physiological and pathological processes that include neuronal signaling, immune response, and inflammatory response. NO is produced from L-arginine in an NADPH-dependent reaction catalyzed by a family of nitric oxide synthase (NOS) enzymes. A deficiency in NO plays a role in hypertension, hyperglycaemia, and arteriosclerosis, among other pathological states. Conversely, increased NO levels contribute to arthritis, septic shock, and hypotention. Therefore, measuring and quantifying NO production in biological systems and matrices may be vital in elucidating physiological and pathological processes. The goal of this work is to develop an ultra-sensitive and selective electrochemical sensor taking advantage of NO-sulfur chemistry. In particular, electropolymerizing 3,4-ethylenedioxythiophene (EDOT) monomers on the surface of our electrodes yield a suitable sulfur-based polymer PEDOT to be used as an affinity matrix for NO sensing. In other work, we have shown that the ruthenium (Ru) mediates the catalytic oxidation of NO. In this work, we tried to achieve improved sensitivity by combining both Ru nanoparticles and PEDOT using the layer-by-layer (LBL) modification method. Further, to eliminate interferences the Ru-PEDOT-Ru modified carbon fiber was coated with a nafion layer, which acts as an anionic filter. We used our NO-sensor to accurately monitor NO release from mouse embryonic fibroblast cells as well as isolated single human umbilical vein endothelial cells. A second part of this work focused on testing the performance of our sensors in characterizing NO release from liposomes with confined NOS enzyme. Liposomes are spherical, closed, self-assembled phospholipids, which enclose part of the surrounding solvent in their interior. Liposomes can enclose an aqueous medium separate from the external aqueous medium. Therefore, liposomes can be used as carriers of enzymes (NOS in this case) without negative impact on the molecular

Nitric Oxide Synthase in Confined Environments;Detection and Quantification of Nitric Oxide Released from Cells and Modified Liposomes Using a Sensitive Metal Catalyst-Pedot Modified Carbon Fiber Electrode

Nitric oxide (NO) is a freely diffusible, gaseous free radical, associated with many physiological and pathological processes that include neuronal signaling, immune response, and inflammatory response. NO is produced from L-arginine in an NADPH-dependent reaction catalyzed by a family of nitric oxide synthase (NOS) enzymes. A deficiency in NO plays a role in hypertension, hyperglycaemia, and arteriosclerosis, among other pathological states. Conversely, increased NO levels contribute to arthritis, septic shock, and hypotention. Therefore, measuring and quantifying NO production in biological systems and matrices may be vital in elucidating physiological and pathological processes. The goal of this work is to develop an ultra-sensitive and selective electrochemical sensor taking advantage of NO-sulfur chemistry. In particular, electropolymerizing 3,4-ethylenedioxythiophene (EDOT) monomers on the surface of our electrodes yield a suitable sulfur-based polymer PEDOT to be used as an affinity matrix for NO sensing. In other work, we have shown that the ruthenium (Ru) mediates the catalytic oxidation of NO. In this work, we tried to achieve improved sensitivity by combining both Ru nanoparticles and PEDOT using the layer-by-layer (LBL) modification method. Further, to eliminate interferences the Ru-PEDOT-Ru modified carbon fiber was coated with a nafion layer, which acts as an anionic filter. We used our NO-sensor to accurately monitor NO release from mouse embryonic fibroblast cells as well as isolated single human umbilical vein endothelial cells. A second part of this work focused on testing the performance of our sensors in characterizing NO release from liposomes with confined NOS enzyme. Liposomes are spherical, closed, self-assembled phospholipids, which enclose part of the surrounding solvent in their interior. Liposomes can enclose an aqueous medium separate from the external aqueous medium. Therefore, liposomes can be used as carriers of enzymes (NOS in this case) without negative impact on the molecular

Identifying Attrition Phases in Survey Data: Applicability and Assessment Study

Background: Although Web-based questionnaires are an efficient, increasingly popular mode of data collection, their utility is often challenged by high participant dropout. Researchers can gain insight into potential causes of high participant dropout by analyzing the dropout patterns. Objective: This study proposed the application of and assessed the use of user-specified and existing hypothesis testing methods in a novel setting—survey dropout data—to identify phases of higher or lower survey dropout. Methods: First, we proposed the application of user-specified thresholds to identify abrupt differences in the dropout rate. Second, we proposed the application of 2 existing hypothesis testing methods to detect significant differences in participant dropout. We assessed these methods through a simulation study and through application to a case study, featuring a questionnaire addressing decision-making surrounding cancer screening. Results: The user-specified method set to a low threshold performed best at accurately detecting phases of high attrition in both the simulation study and test case application, although all proposed methods were too sensitive. Conclusions: The user-specified method set to a low threshold correctly identified the attrition phases. Hypothesis testing methods, although sensitive at times, were unable to accurately identify the attrition phases. These results strengthen the case for further development of and research surrounding the science of attrition

Theory of transient spectroscopy of multiple quantum well structures

A theory of the transient spectroscopy of quantum well (QW) structures under a large applied bias is presented. An analytical model of the initial part of the transient current is proposed. The time constant of the transient current depends not only on the emission rate from the QWs, as is usually assumed, but also on the subsequent carrier transport across QWs. Numerical simulation was used to confirm the validity of the proposed model, and to study the transient current on a larger time scale. It is shown that the transient current is influenced by the nonuniform distribution of the electric field and related effects, which results in a step-like behavior of the current. A procedure of extraction of the QW emission time from the transient spectroscopy experiments is suggested.Comment: 5 pages, 4 figures, to be published in J. Appl. Phy

Modeling the non-recycled Fermi gamma-ray pulsar population

We use Fermi Gamma-ray Space Telescope detections and upper limits on non-recycled pulsars obtained from the Large Area Telescope (LAT) to constrain how the gamma-ray luminosity L depends on the period P and the period derivative \dot{P}. We use a Bayesian analysis to calculate a best-fit luminosity law, or dependence of L on P and \dot{P}, including different methods for modeling the beaming factor. An outer gap (OG) magnetosphere geometry provides the best-fit model, which is L \propto P^{-a} \dot{P}^{b} where a=1.36\pm0.03 and b=0.44\pm0.02, similar to but not identical to the commonly assumed L \propto \sqrt{\dot{E}} \propto P^{-1.5} \dot{P}^{0.5}. Given upper limits on gamma-ray fluxes of currently known radio pulsars and using the OG model, we find that about 92% of the radio-detected pulsars have gamma-ray beams that intersect our line of sight. By modeling the misalignment of radio and gamma-ray beams of these pulsars, we find an average gamma-ray beaming solid angle of about 3.7{\pi} for the OG model, assuming a uniform beam. Using LAT-measured diffuse fluxes, we place a 2{\sigma} upper limit on the average braking index and a 2{\sigma} lower limit on the average surface magnetic field strength of the pulsar population of 3.8 and 3.2 X 10^{10} G, respectively. We then predict the number of non-recycled pulsars detectable by the LAT based on our population model. Using the two-year sensitivity, we find that the LAT is capable of detecting emission from about 380 non-recycled pulsars, including 150 currently identified radio pulsars. Using the expected five-year sensitivity, about 620 non-recycled pulsars are detectable, including about 220 currently identified radio pulsars. We note that these predictions significantly depend on our model assumptions.Comment: 26 pages, 10 figures, Accepted by ApJ on 8 September 201

Role of Charismatic Leadership and Technology Self-Efficacy in HRIS Use Behavior: A Conceptual Study

The current study claims that the Human Resource Information System (HRIS) Use Behavior, plays a salient role in utilizing the information technology as intended. Thus, organizations investing in information technology are in dire requirement of developing and implementing the effective interventions. The purpose of this is to optimize information technology adoption and its maximum usage among the HRIS users. The existing knowledge base in HRIS Use Behavior hardly addresses the relationship of Charismatic Leadership and Technology Self-Efficacy in the Unified Theory of Acceptance and Use of Technology (UTAUT). The current study has developed an ‘integrative conceptual model’ contributing a theoretical extension of the UTAUT model, which fills he identified theoretical gaps, grounded on UTAUT, Charismatic Leadership theory, and the Social Cognitive Theory. The salient feature of this study is that it conceptualizes and introduces two constructs: 1) Technology Self-Efficacy and 2) Charismatic Leadership, in extending a validated information system Use Behavior or ‘explanatory model’ as a theoretical contribution. This concept paper argues that the Charismatic Leadership and Technology Self-Efficacy have a positive relationship among the UTAUT model's HRIS Use Behavior-related variables. However, it can be integrated towards arriving at a ‘coherent conceptual model’ to be researched and validated. This particular study has developed a ‘coherent conceptual framework’ in studying the phenomenon of HRIS Use Behavior. Furthermore, it studies the role of Charismatic Leadership and Technology Self-Efficacy in affecting the psychological aspect of the end users of a Human Resource Information System (HRIS

DNA adducts in human urinary bladder and other tissues.

Tobacco smoking is associated with an increased risk of cancer in a number of organs, including bladder and lung. Tobacco smoke contains at least 50 known chemical carcinogens that exert their biological effects through their covalent binding to cellular DNA. Examining human DNA for the presence of altered nucleotides is a means of monitoring exposure to genotoxic chemicals. DNA isolated from 73 human bladder biopsies has been analyzed by 32P-postlabeling for the presence of aromatic/hydrophobic adducts. Butanol extraction of DNA digests resulted in up to a 3-fold greater recovery of adducts than nuclease P1 digestion. Among 16 nonsmokers, adduct levels were in the range 3.2-20.8/10(8) nucleotides (mean 9.7). Eight ex-smokers had values in the range 2.6-12.3 (mean 7.1). Thirteen smokers had adduct levels between 1.3 and 26.7 adducts/10(8) nucleotides (mean 9.5, not different from nonsmokers). Six cigar smokers had higher levels of adducts (mean 12.1, range 7.3-15.0), but pipe smokers did not (five samples, mean 8.6, range 2.9-12.7). A further 8 samples from nonsmokers and 17 from smokers were examined in more detail. Although most of the DNA binding appears not to be smoking related, the levels of one adduct were found to be on average 2-fold higher in smokers (p < 0.005, one-tailed t test). Studies on tissues of the respiratory tract demonstrate a correlation between DNA adduct levels and exposure to tobacco smoke. Evidence to date on the influence of smoking on adducts in peripheral blood cells is equivocal; some studies demonstrate a significant effect, whereas others do not.(ABSTRACT TRUNCATED AT 250 WORDS