Ocean Grove Christian Songs

Ocean Grove Christian Songs, edited by Tali Esen Morgan, Bishop J. A. Fitzgerald, and Rev. Charles H. Yatman, published by Tali Esen Morgan.https://digitalcommons.gardner-webb.edu/round-note-collection/1006/thumbnail.jp

Label-Free, High Content Screening Using Raman Microspectroscopy: The Toxicological Response of Different Cell Lines to Amine-Modified Polystyrene Nanoparticles

Nanotoxicology has become an established area of science due to growing concerns over the production and potential use of nanomaterials in a wide-range of areas from pharmaceutics to nanomedicine. Although different cytotoxicity assays have been developed and are widely used to determine the toxicity of nanomaterials, the production of multi-parametric information in a rapid and non-invasive way is still challenging, when the amount and diversity of physicochemical properties of nanomaterials are considered. High content screening can provide such analysis, but is often prohibitive in terms of capital and recurrent costs in academic environments. As a label-free technique, the applicability of Raman microspectroscopy for the analysis of cells, tissues and bodily fluids has been extensively demonstrated. The multi-parametric information in the fingerprint region has also been used for the determination of nanoparticle localisation and toxicity. In this study, the applicability of Raman microspectroscopy as a \u27high content nanotoxicological screening technique\u27 is demonstrated, with the aid of multivariate analysis, on non-cancerous (immortalized human bronchial epithelium) and cancerous cell-lines (human lung carcinoma and human lung epidermoid cells). Aminated polystyrene nanoparticles are chosen as model nanoparticles due to their well-established toxic properties and cells were exposed to the nanoparticles for periods from 24-72 hours. Spectral markers of cellular responses such as oxidative stress, cytoplasmic RNA aberrations and liposomal rupture are identified and cell-line dependent systematic variations in these spectral markers, as a function of the exposure time, are observed using Raman microspectroscopy, and are correlated with cellular assays and imaging techniques

Uncertainty-Aware Online Merge Planning with Learned Driver Behavior

Safe and reliable autonomy solutions are a critical component of next-generation intelligent transportation systems. Autonomous vehicles in such systems must reason about complex and dynamic driving scenes in real time and anticipate the behavior of nearby drivers. Human driving behavior is highly nuanced and specific to individual traffic participants. For example, drivers might display cooperative or non-cooperative behaviors in the presence of merging vehicles. These behaviors must be estimated and incorporated in the planning process for safe and efficient driving. In this work, we present a framework for estimating the cooperation level of drivers on a freeway and plan merging maneuvers with the drivers' latent behaviors explicitly modeled. The latent parameter estimation problem is solved using a particle filter to approximate the probability distribution over the cooperation level. A partially observable Markov decision process (POMDP) that includes the latent state estimate is solved online to extract a policy for a merging vehicle. We evaluate our method in a high-fidelity automotive simulator against methods that are agnostic to latent states or rely on $\textit{a priori}$ assumptions about actor behavior

Nanotransfer Printing of Organic and Carbon Nanotube Thin-Film Transistors on Plastic Substrates

A printing process for high-resolution transfer of all components for organic electronic devices on plastic substrates has been developed and demonstrated for pentacene (Pn), poly (3-hexylthiophene) and carbon nanotube (CNT) thin-film transistors (TFTs). The nanotransfer printing process allows fabrication of an entire device without exposing any component to incompatible processes and with reduced need for special chemical preparation of transfer or device substrates. Devices on plastic substrates include a Pn TFT with a saturation, field-effect mobility of 0.09 cm^2 (Vs)^-1 and on/off ratio approximately 10^4 and a CNT TFT which exhibits ambipolar behavior and no hysteresis.Comment: to appear in Applied Physics Letter

Androgen receptor mutations in prostate cancer

We analyzed the frequency and relevance of mutations in the coding region of the androgen receptor (AR) in genomic DNA extracted from 137 specimens of prostate cancer. The specimens were obtained from the primary tumors of patients affected by stage B disease [15 nonmicrodissected (group 1A) and 84 microdissected (group 1B)] and from the metastatic deposits of individuals with stage D1 disease [8 nonmicrodissected (group 2A) and 30 microdissected (group 2B)] who had not undergone androgen ablation therapy. The study was conducted by PCR-single strand conformational polymorphism (SSCP) analysis of exons 2-8 in the four groups and direct sequence analysis of exon 1 in group 1B. As positive and negative controls, we used genomic DNA extracted from genital skin fibroblasts of patients affected by various forms of androgen resistance with known mutations in the AR. To control for genetic instability, PCR-SSCP analysis of exon 2 of the human progesterone receptor was carried out on each specimen. The overall number of mutations detected was 11 (8%). No mutations were detected in any of the 99 patients with stage B disease. Eleven mutations were detected in exons 2-8 in 8 of the 38 patients with stage D1 disease (all in group 2B). Simultaneous analysis of exon 2 of the progesterone receptor was carried out, and no SSCP changes were identified. These data suggest that AR mutations are rare and presumably do not play a role in the initial phase of prostatic carcinogenesis. The presence of a significant number of AR mutations in metastatic disease indicates that mutations of this molecule may play a role in the most advanced phases of the natural history of this disease, either by facilitating growth or acquisition of the metastatic phenotype

Health, Financial Incentives and Retirement in Spain

We estimate the impact of health and financial incentives on the retirement transitions of older workers in Spain. Individual measures of pension wealth, peak and accrual values are constructed using labor market histories and health shocks are derived as changes in a composite health stock measure over time. We examine labour market exits into both old age retirement and a broader definition of retirement including inactivity, while controlling for unobserved heterogeneity. We find that pension wealth, accrual and peak value are significant determinants of retirement decisions, although their effect is weaker in the case of the broad definition of retirement. Initial health stock shows a significant impact on both definitions of retirement. Only large negative health shocks have a significant effect on the probability of entering the broader definition of retirement. Unlike previous literature, we find that (i) financial incentives, when measured adequately, exert a greater impact on retirement behaviour than health shocks, and (ii) initial health stock plays a more important role than health shocks in determining retirement decisions. We also perform simulations of a recently enacted reform of pension incentives and show how its expected effects compare to those of health improvements

Exploring the impact of firm- and relationship-specific factors on alliance performance: Evidence from Turkey

This study investigates the impact of firm-specific (i.e., alliance orientation and partner selection criteria) and relationship-specific (i.e., strategic fit, cultural fit, and organizational fit) factors on alliance performance and assesses the mediating role of trust in the relationship between relationship-specific factors and alliance performance. Partial least squares analysis is applied to a data set of 106 strategic alliances, including both equity alliances (joint ventures) and non-equity alliances (contractual alliances). The empirical results reveal that alliance orientation and strategic fit lead to superior alliance performance and that cultural fit is positively related to partner trustworthiness. The results have managerial implications regarding how to maximize the positive outcomes of an alliance

Efficacy of tadalafil in Egyptian and Turkish men with erectile dysfunction

A randomised, double-blind, parallel, placebo-controlled, 12-week study was carried out to evaluate the efficacy and safety of 20-mg tadalafil taken ‘as needed’ in a population of men with erectile dysfunction (ED) from Egypt and Turkey. One hundred and thirty-two patients were randomised in this study. Tadalafil was superior to placebo on all three co-primary efficacy end points. The mean change from baseline for the erectile function domain of the International Index of Erectile Function was 9.3 ± 0.8 for the tadalafil group and 2.3 ± 1.6 for the placebo group. Tadalafil-treated patients reported a significantly greater improvement in the mean percentage of successful penetrations (tadalafil: 34.5 ± 4.1; placebo: −4.6 ± 8.1) and successful intercourse attempts (tadalafil: 52.2 ± 3.8; placebo: 16.8 ± 7.8) than placebo-treated patients as measured by the Sexual Encounter Profile. Tadalafil was generally well tolerated with 82% of adverse events being mild in severity. Tadalafil 20-mg taken ‘as needed’ significantly improved the erectile function in Egyptian and Turkish men with ED

Automated discrimination of psychotropic drugs in mice via computer vision-based analysis

Cataloged from PDF version of article.We developed an inexpensive computer vision-based method utilizing an algorithm which differentiates drug-induced behavioral alterations. The mice were observed in an open-field arena and their activity was recorded for 100 min. For each animal the first 50 min of observation were regarded as the drug-free period. Each animal was exposed to only one drug and they were injected (i.p.) with either amphetamine or cocaine as the stimulant drugs or morphine or diazepam as the inhibitory agents. The software divided the arena into virtual grids and calculated the number of visits (sojourn counts) to the grids and instantaneous speeds within these grids by analyzing video data. These spatial distributions of sojourn counts and instantaneous speeds were used to construct feature vectors which were fed to the classifier algorithms for the final step of matching the animals and the drugs. The software decided which of the animals were drug-treated at a rate of 96%. The algorithm achieved 92% accuracy in sorting the data according to the increased or decreased activity and then determined which drug was delivered. The method differentiated the type of psychostimulant or inhibitory drugs with a success ratio of 70% and 80%, respectively. This method provides a new way to automatically evaluate and classify drug-induced behaviors in mice. Crown Copyright © 2009 Published by Elsevier B.V. All rights reserved