73,468 research outputs found
Clements family papers, MSS.0316
No full textAbstract: Papers of a Tuscaloosa family whose members included Hardy Clements, Rufus Hargrove Clements, Martha Lavinia Clements, Frank Bugbee Clements, Luther Morgan Clements, and others. The bulk of the papers relate to Frank Bugbee Clements.Scope and Content Note: The Clements family papers, along with those of the Wynn and Bugbee families, were donated together. Each of these families is related to the others through marriage, and the donor is a direct descendent of all. As the ties between the families are evident only in the genealogical records, the papers have been organized separately. The papers are grouped into the following series: Hardy Clements, Rufus Hargrove Clements, Martha Lavinia Clements, F. B. Clements, Luther Morgan Clements, and Other. The bulk of the papers relate to Frank Bugbee Clements.Biographical/Historical Note: Hardy Clements was born at Edgefield Court House, South Carolina, on October 16, 1783, the son of Ruben and Elizabeth (Stuart) Clements. He and his brother Ruben came to the Mississippi Territory in 1796 or 1798. Hardy Clements' first wife, whom he married on December 30, 1822, was Martha Hargrove of Virginia. Their children were Rufus Hargrove, Luther Morgan, and Early Coleman. On May 13, 1832, Hardy Clements married his second wife, Maria Ann Pegues. Their children were Anne Stuart, Egbert Rush, Asenith Rice, Collier Foster, and Newton Nash. He owned extensive landholdings in Tuscaloosa County.Rufus Hargrove Clements was born in Tuscaloosa County, November 1, 1823. He graduated from The University of Alabama in 1845 and received his LLB degree in 1847 from Harvard University. He married Martha Lavinia Bugbee on November 27, 1850. Their children were Francis Bugbee, Julia Morgan, and Clara Estelle. He died in Tuscaloosa on December 1, 1875.Luther Morgan Clements was born in Tuscaloosa County on November 15, 1827 or 1825. He was a graduate of the University of Alabama (1844) and Jefferson Medical College in Philadelphia, Pennsylvania (1849). A captain in Company F of the 41st Alabama Infantry, he served as both soldier and surgeon in the Confederate army. He never married and died in Tuscaloosa on November 30, 1903.Francis (Frank) Bugbee Clements was born in Tuscaloosa on May 23, 1864, and graduated from The University of Alabama in 1883. He served as president and director for the Demopolis Electric Power and Light Company and was also employed by the J. L. Yancey Real Estate and Insurance Company of Birmingham. He married Lorna Wynn Wilson on May 25, 1884. Their daughter was Martha Lavinia Clements, who married Charles Theodore Brasfield. Frank Clements died May 19, 1951.Sources: Thomas M. 0wen, History of Alabama and Dictionary of Alabama Biography. Chicago: S. J. Clarke Publishing Co., 1921, and Thomas Waverly Palmer, A Register of the Officers and Students of the University of Alabama, 1831-1901. Tuscaloosa, Alabama: The University of Alabama, 1901
Lloyd Clements, John Evan Jones, M. Vejdant
No full textLloyd Clements, Better Farming agent, and John Evan Jones, Vernal Express reporter, interview Iranian M. Vejdant. Vejdant, an agricultural student, lived in Uintah County for two years
Evidence for the decay B0→J/ψω and measurement of the relative branching fractions of meson decays to J/ψη and J/ψη′
No full textFirst evidence of the B 0 → J / ψ ω decay is found and the B s 0 → J / ψ η and B s 0 → J / ψ η ′ decays are studied using a dataset corresponding to an integrated luminosity of 1.0 fb -1 collected by the LHCb experiment in proton-proton collisions at a centre-of-mass energy of sqrt(s) = 7 TeV. The branching fractions of these decays are measured relative to that of the B 0 → J / ψ ρ 0 decay:frac(B (B 0 → J / ψ ω), B (B 0 → J / ψ ρ 0)) = 0.89 ± 0.19 (stat) - 0.13 + 0.07 (syst),frac(B (B s 0 → J / ψ η), B (B 0 → J / ψ ρ 0)) = 14.0 ± 1.2 (stat) - 1.5 + 1.1 (syst) - 1.0 + 1.1 (frac(f d, f s)),frac(B (B s 0 → J / ψ η ′), B (B 0 → J / ψ ρ 0)) = 12.7 ± 1.1 (stat) - 1.3 + 0.5 (syst) - 0.9 + 1.0 (frac(f d, f s)), where the last uncertainty is due to the knowledge of f d / f s, the ratio of b-quark hadronization factors that accounts for the different production rate of B 0 and B s 0 mesons. The ratio of the branching fractions of B s 0 → J / ψ η ′ and B s 0 → J / ψ η decays is measured to befrac(B (B s 0 → J / ψ η ′), B (B s 0 → J / ψ η)) = 0.90 ± 0.09 (stat) - 0.02 + 0.06 (syst)
Tuscaloosa County tax form for taxes paid by R.H. Clements to J.M. Shepherd, tax assessor and tax collector, May 14th, 1867
No full textAn item in the Clements Family Papers Collection
Lloyd Clements, John Evan Jones, and M. Vejdant
No full textLloyd Clements, Better Farming agent and John Evan Jones, Vernal Express reporter, interview Iranian M. Vejdant, an agricultural student who was to live with Uintah County residents for two years
Improved hospital-level risk adjustment for surveillance of healthcare-associated bloodstream infections: a retrospective cohort study
No full textBackground: to allow direct comparison of bloodstream infection (BSI) rates between hospitals for performance measurement, observed rates need to be risk adjusted according to the types of patients cared for by the hospital. However, attribute data on all individual patients are often unavailable and hospital-level risk adjustment needs to be done using indirect indicator variables of patient case mix, such as hospital level. We aimed to identify medical services associated with high or low BSI rates, and to evaluate the services provided by the hospital as indicators that can be used for more objective hospital-level risk adjustment.Methods: from February 2001-December 2007, 1719 monthly BSI counts were available from 18 hospitals in Queensland, Australia. BSI outcomes were stratified into four groups: overall BSI (OBSI), Staphylococcus aureus BSI (STAPH), intravascular device-related S. aureus BSI (IVD-STAPH) and methicillin-resistant S. aureus BSI (MRSA). Twelve services were considered as candidate risk-adjustment variables. For OBSI, STAPH and IVD-STAPH, we developed generalized estimating equation Poisson regression models that accounted for autocorrelation in longitudinal counts. Due to a lack of autocorrelation, a standard logistic regression model was specified for MRSA.Results: four risk services were identified for OBSI: AIDS (IRR 2.14, 95% CI 1.20 to 3.82), infectious diseases (IRR 2.72, 95% CI 1.97 to 3.76), oncology (IRR 1.60, 95% CI 1.29 to 1.98) and bone marrow transplants (IRR 1.52, 95% CI 1.14 to 2.03). Four protective services were also found. A similar but smaller group of risk and protective services were found for the other outcomes. Acceptable agreement between observed and fitted values was found for the OBSI and STAPH models but not for the IVD-STAPH and MRSA models. However, the IVD-STAPH and MRSA models successfully discriminated between hospitals with higher and lower BSI rates.Conclusion: the high model goodness-of-fit and the higher frequency of OBSI and STAPH outcomes indicated that hospital-specific risk adjustment based on medical services provided would be useful for these outcomes in Queensland. The low frequency of IVD-STAPH and MRSA outcomes indicated that development of a hospital-level risk score was a more valid method of risk adjustment for these outcome
Letter from Carl Hayden to M. J. Riordan
No full textLetter from Carl Hayden to M. J. Riordan expressing his support for Coconino County in turning over the Bright Angel Trail to the federal government
Crystallization and preliminary characterisation of human recombinant N-acetylpgalactosamine-4-sulfatase
No full textCrystals of human recombinant N-acetylgalactosamine-4-sulfatase have been grown using vapour diffusion. The protein contains approximately 13%(w/w) carbohydrate. The crystals belong to the tetragonal space group P41212 or its enantiomorph P43212 with a = b = 108.0 and c = 145.5 Å. The crystals diffract to 2.7 Å resolution.Ashby, S. J. ; Clements, P. R. ; Guss, J. M. ; Harvey, I. ; Hopwood, J. J
Spatial heterogeneity of parasite co-infection: Determinants and geostatistical prediction at regional scales.
No full textMultiple parasite infections are widespread in the developing world and understanding their geographical distribution is important for spatial targeting of differing intervention packages. We investigated the spatial epidemiology of mono- and co-infection with helminth parasites in East Africa and developed a geostatistical model to predict infection risk. The data used for the analysis were taken from standardised school surveys of Schistosoma mansoni and hookworm (Ancylostoma duodenale/Necator americanus) carried out between 1999 and 2005 in East Africa. Prevalence of mono- and co-infection was modelled using satellite-derived environmental and demographic variables as potential predictors. A Bayesian multi-nominal geostatistical model was developed for each infection category for producing maps of predicted co-infection risk. We show that heterogeneities in co-infection with S. mansoni and hookworm are influenced primarily by the distribution of S. mansoni, rather than the distribution of hookworm, and that temperature, elevation and distance to large water bodies are reliable predictors of the spatial large-scale distribution of co-infection. On the basis of these results, we developed a validated geostatistical model of the distribution of co-infection at a scale that is relevant for planning regional disease control efforts that simultaneously target multiple parasite species
Letter from M. J. Riordan, Arizona Lumber and Timber Company, to Carl Hayden
No full textLetter from M. J. Riordan to Carl Hayden expressing his opposition to the federal government's takeover of Bright Angel Trail
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