Dry weight changes in Porto Rico sweet potatoes under actual storage conditions in Tennessee

Respiration is a necessary process common to all forms of living matter. Since the sweet potato root is living tissue, it too must respire in order to remain alive. Basically, the respiratory process involves the oxidation of sugars or sugar derivatives to carbon dioxide and water by the living cell (3). Since after harvest the sweet potato has no new source of food materials, it must rely upon the stored carbohydrates it accumulated during the time it was growing. This sugar consumption by respiration results in a dry matter reduction, which coupled with a decrease in moisture, brings about an economically serious weight loss of the stored crop. Accelerated rates of respiration are responsible for a more rapid loss of substrate. Thus high temperatures, which are often the cause of increased respiratory rates (3), result in increased weight losses. Cold storage of the crop is not satisfactory, however, because sweet potatoes exhibit chilling injury even when stored at temperatures of fifty degrees Fahrenheit for prolonged periods. Generally, recommendations suggest that the crop be stored at temperatures ranging from fifty to sixty degrees Fahrenheit following the short curing period immediately after harvest. Environmental conditions under which the sweet potato crop is grown and harvested differ from state to state. Varieties differ in response to storage conditions as well. In consideration of these points, the purpose of the experiment here reported was to investigate the metabolic activity of the Porto Rico sweet potato under the influence of actual storage conditions in Tennessee

1952: Abilene Christian College Bible Lectures - Full Text

Delivered in the Auditorium of Abilene Christian College, February, 1952 ABILENE, TEXAS PRICE, $3.00 firm foundation publishing house Box 77 Austin Cl, Texa

Real-time adaptive estimation of decoherence timescales for a single qubit

Characterizing the time over which quantum coherence survives is critical for any implementation of quantum bits, memories, and sensors. The usual method for determining a quantum system's decoherence rate involves a suite of experiments probing the entire expected range of this parameter, and extracting the resulting estimation in postprocessing. Here we present an adaptive multiparameter Bayesian approach, based on a simple analytical update rule, to estimate the key decoherence timescales (T1, T2∗ - , and T2) and the corresponding decay exponent of a quantum system in real time, using information gained in preceding experiments. This approach reduces the time required to reach a given uncertainty by a factor up to an order of magnitude, depending on the specific experiment, compared to the standard protocol of curve fitting. A further speedup of a factor approximately 2 can be realized by performing our optimization with respect to sensitivity as opposed to variance

Randomized, Controlled Trial of the Long Term Safety, Immunogenicity and Efficacy of RTS,S/AS02(D) Malaria Vaccine in Infants Living in a Malaria-Endemic Region.

The RTS,S/AS malaria candidate vaccine is being developed with the intent to be delivered, if approved, through the Expanded Programme on Immunization (EPI) of the World Health Organization. Safety, immunogenicity and efficacy of the RTS,S/AS02(D) vaccine candidate when integrated into a standard EPI schedule for infants have been reported over a nine-month surveillance period. This paper describes results following 20 months of follow up. This Phase IIb, single-centre, randomized controlled trial enrolled 340 infants in Tanzania to receive three doses of RTS,S/AS02(D) or hepatitis B vaccine at 8, 12, and 16 weeks of age. All infants also received DTPw/Hib (diphtheria and tetanus toxoids, whole-cell pertussis vaccine, conjugated Haemophilus influenzae type b vaccine) at the same timepoints. The study was double-blinded to month 9 and single-blinded from months 9 to 20. From month 0 to 20, at least one SAE was reported in 57/170 infants who received RTS,S/AS02(D) (33.5%; 95% confidence interval [CI]: 26.5, 41.2) and 62/170 infants who received hepatitis B vaccine (36.5%; 95% CI: 29.2, 44.2). The SAE profile was similar in both vaccine groups; none were considered to be related to vaccination. At month 20, 18 months after completion of vaccination, 71.8% of recipients of RTS,S/AS02(D) and 3.8% of recipients of hepatitis B vaccine had seropositive titres for anti-CS antibodies; seroprotective levels of anti-HBs antibodies remained in 100% of recipients of RTS,S/AS02(D) and 97.7% recipients of hepatitis B vaccine. Anti-HBs antibody GMTs were higher in the RTS,S/AS02(D) group at all post-vaccination time points compared to control. According to protocol population, vaccine efficacy against multiple episodes of malaria disease was 50.7% (95% CI: -6.5 to 77.1, p = 0.072) and 26.7% (95% CI: -33.1 to 59.6, p = 0.307) over 12 and 18 months post vaccination, respectively. In the Intention to Treat population, over the 20-month follow up, vaccine efficacy against multiple episodes of malaria disease was 14.4% (95% CI: -41.9 to 48.4, p = 0.545). The acceptable safety profile and good tolerability of RTS,S/AS02(D) in combination with EPI vaccines previously reported from month 0 to 9 was confirmed over a 20 month surveillance period in this infant population. Antibodies against both CS and HBsAg in the RTS,S/AS02(D) group remained significantly higher compared to control for the study duration. Over 18 months follow up, RTS,S/AS02(D) prevented approximately a quarter of malaria cases in the study population. CLINICAL TRIALS: Gov identifier: NCT00289185

Services just for men? Insights from a national study of the well men services pilots.

Men continue to have a lower life expectancy in most countries compared to women. Explanations of this gendered health inequality tend to focus on male risk taking, unhealthy lifestyle choices and resistance to seeking help from health services. In the period 2005-2008 the Scottish Government funded a nationwide community health promotion programme aimed at improving men's health, called Well Men Service Pilots (henceforth WMS)

Investigation of Asphalt Additives

DTFH-61-84-C-00066The overall objectives of this research were to (l ) identify through laboratory testing, the most promising types of additives or admixtures for reducing rutting and cracking in hot-mixed asphalt pavements, (2) develop guidelines showing how the additives can be incorporated into actual pavements and (3) develop procedures for evaluating additives. Additives selected for evaluation included latex, block copolymer rubber, ethylene vinyl acetate, polyethylene and carbon black. The additives were combined with asphalt cements from two sources with widely differing chemical composition and rheological properties. Asphalts two grades softer than that normally used in hot-mixed asphalt concrete were used with the additives. Binder tests included penetration at two temperatures, viscosity at various temperatures and by various methods, softening point, flash point, specific gravity, rolling thin film oven test, ductility, heat stability, infrared analysis before and after artificial aging, nuclear magnetic resonance, viscoelastic analysis, stress relaxation, and Rostler-Sternberg and Corbett analyses. Energies of interaction between selected asphalts and additives were measured using a microcalorimeter. Paving mixture tests included Hveem and Marshall stabilities, resilient modulus vs. temperature, indirect tension vs. temperature and loading rate, resistance to moisture damage, flexural fatigue, creep/permanent deformation, fracture resistance and fracture healing. The mixture test results were used with the VESYS IV structural subsystem to predict the effects of the additives on pavement- performance, cracking, rutting, and roughness. All additives demonstrated the ability to substantially alter the temperature susceptibility of asphalt concrete mixtures

The Baryon Oscillation Spectroscopic Survey of SDSS-III

The Baryon Oscillation Spectroscopic Survey (BOSS) is designed to measure the scale of baryon acoustic oscillations (BAO) in the clustering of matter over a larger volume than the combined efforts of all previous spectroscopic surveys of large scale structure. BOSS uses 1.5 million luminous galaxies as faint as i=19.9 over 10,000 square degrees to measure BAO to redshifts z<0.7. Observations of neutral hydrogen in the Lyman alpha forest in more than 150,000 quasar spectra (g<22) will constrain BAO over the redshift range 2.15<z<3.5. Early results from BOSS include the first detection of the large-scale three-dimensional clustering of the Lyman alpha forest and a strong detection from the Data Release 9 data set of the BAO in the clustering of massive galaxies at an effective redshift z = 0.57. We project that BOSS will yield measurements of the angular diameter distance D_A to an accuracy of 1.0% at redshifts z=0.3 and z=0.57 and measurements of H(z) to 1.8% and 1.7% at the same redshifts. Forecasts for Lyman alpha forest constraints predict a measurement of an overall dilation factor that scales the highly degenerate D_A(z) and H^{-1}(z) parameters to an accuracy of 1.9% at z~2.5 when the survey is complete. Here, we provide an overview of the selection of spectroscopic targets, planning of observations, and analysis of data and data quality of BOSS.Comment: 49 pages, 16 figures, accepted by A

Real-time adaptive estimation of decoherence timescales for a single qubit

Characterizing the time over which quantum coherence survives is critical for any implementation of quantum bits, memories, and sensors. The usual method for determining a quantum system’s decoherence rate involves a suite of experiments probing the entire expected range of this parameter, and extracting the resulting estimation in postprocessing. Here we present an adaptive multiparameter Bayesian approach, based on a simple analytical update rule, to estimate the key decoherence timescales (T1, T ∗2, and T2) and the corresponding decay exponent of a quantum system in real time, using information gained in preceding experiments. This approach reduces the time required to reach a given uncertainty by a factor up to an order of magnitude, depending on the specific experiment, compared to the standard protocol of curve fitting. A further speedup of a factor approximately 2 can be realized by performing our optimization with respect to sensitivity as opposed to varianc