5,663 research outputs found
Letter from [L. S. Ross?] to Thomas Goree
No full textLetter from [L. S. Ross?] to Thomas Goree thanking him for photos
A fossil caddisfly (Insecta: Trichoptera) from the Eocene of Colorado
No full textRobinson, Jason L., Thomas, M. Jared, Heads, Sam W. (2018): A fossil caddisfly (Insecta: Trichoptera) from the Eocene of Colorado. Zootaxa 4403 (2): 389-394, DOI: 10.11646/zootaxa.4403.2.1
Litholimnephilops Robinson & Thomas & Heads 2018, gen. nov.
No full textLitholimnephilops gen. nov. Type species. Litholimnephilops yinani sp. nov. Diagnosis. Bοdy 12 mm lοng. Head with οne visible anterοmesal οcellus, ancillary οcelli indistinguishable οr absent, right antennal scape 0.3 mm, tοtal length οf subsequent antennοmeres 2.3 mm, sοme likely brοken οr οbscured by bοdy in preservatiοn. Right maxillary palp οbscured, left maxillary palp with three segments visible beyοnd margin οf head capsule; terminal palpοmere nοt markedly elοngate and lacking any annular sculpture. Wings with reduced pigmentatiοn, fοrewings with visible fοrks II and III (slightly οbscured in specimen), fοrewing discοidal cell prοbably οpen, thyridial cell nοt evident, nο terminal crοssveins nοr subcοstal nοr radial lοοps in anteriοr anastοmοsis. Legs with heavily sclerοtized black spines, sοme clustered, but pre-apical spurs nοt distinguishable frοm spines. Etymology. Fοrmed frοm a cοmbinatiοn οf the Greek wοrd lithos (λίΘος, meaning “stοne” οr “rοck”), Limnephilus, the type genus οf the family Limnephilidae, and the suffix - ops, an abbreviatiοn οf - opsis (meaning “likenesss”).Published as part of Robinson, Jason L., Thomas, M. Jared & Heads, Sam W., 2018, A fossil caddisfly (Insecta: Trichoptera) from the Eocene of Colorado, pp. 389-394 in Zootaxa 4403 (2) on page 390, DOI: 10.11646/zootaxa.4403.2.10, http://zenodo.org/record/121212
Letter from Thomas, Giles S. to Thomas Family. January 30, 1864
No full textLetter from Thomas, Giles S. (Giles Stafford), 1840-1929 to Thomas Famil
1981-1982: Boesman and Lena
No full textFrom left: Sam Singleton as Old African, L. Scott Caldwell as Lena, and Delroy Lindo as BoesmanBoesman and Lena;Grayscal
1985-1986: Two Brothers, A Ballad
No full textLeft: David B. Heuvelman II as Pancho and Miki Kim as Rosaura.
Center, in foreground: L. Peter Callender as Florencio and Albert Farrar as Juan Juanito; behind the counter: John V. Tener and David Rommel.
Right: Thomas J. Hoffman, Mary Hatch, Matthew Redding, and Janetta L. DavisTwo Brothers, A Ballad;Grayscal
A Social Accounting Matrix for Bolivia Featuring Formal and Informal Activities
Get PDFThis paper describes the construction of a Social Accounting Matrix (SAM) for Bolivia for the year 1997. Three distinctive features render the SAM a useful starting point for distributional analyses. First, production in the agricultural and services sectSAM, structural adjustment programs, poverty, income distribution, Bolivia
Using the Regional Social Accounting Matrix to Forecast Household Expenditures: a Fuzzy Approach
No full textUsing a Social Accounting Matrix (SAM) to forecast the effect of exogenous shocks on the economy should be based on incorporate and error-free information that requires to update data in the SAM cells. Many techniques are available for updating a SAM. Here we use an approach based on the fuzzy set theory. Essentially, we restrict estimates of a matrix of direct input-output coefficients, the core of a matrix of SAM direct coefficients, to just seven possible size categories when they are updates. These rough categorical estimates are transformed to some quantitate functions with domain that reflects of coefficient sizes. These resulting model functions are interpreted as quasi probability density functions so a quasi-stochastic programing problem is used to estimate fuzzy impacts. The fuzzy results are compared to “true” ones, estimated via a classically created SAM, by calculating the estimation error. Finally, we explore factors of the error sensitivity.
In an empirical exercise, we use a 57-industry 2010 SAM for New Jersey and develop a SAM model with fuzzy direct input-output coefficients. Based on this model we forecast effect from relative and absolute changes for three groups of exogenous factors: the elements of the final demand, the institutional incomes and value added. We next extend the initial model by also fuzzifying other structural components of SAM: the matrix of value-added by industry coefficients and the matrix of institutional expenditures by industry coefficients and estimate the same effects. The fuzzy forecasts for the initial and “new” SAM model with fuzzy parameters are compared to results estimated when using a classical approach.
In all cases we obtain the small estimation error that makes it possible to consider a fuzzy approach as an efficient way for forecasting effects of exogenous shocks on the economy using inaccurate and incomplete SAM dat
Arctic sea surface height variability and change from satellite radar altimetry and GRACE, 2003-2014
Get PDFArctic sea surface height (SSH) is poorly observed by radar altimeters due to the poor coverage of the polar oceans provided by conventional altimeter missions and because large areas are perpetually covered by sea ice, requiring specialized data processing. We utilize SSH estimates from both the ice-covered and ice-free ocean to present monthly estimates of Arctic Dynamic Ocean Topography (DOT) from radar altimetry south of 81.5°N and combine this with GRACE ocean mass to estimate steric height. Our SSH and steric height estimates show good agreement with tide gauge records and geopotential height derived from Ice-Tethered Profilers. The large seasonal cycle of Arctic SSH (amplitude ?5 cm) is dominated by seasonal steric height variation associated with seasonal freshwater fluxes, and peaks in October–November. Overall, the annual mean steric height increased by 2.2?±?1.4 cm between 2003 and 2012 before falling to circa 2003 levels between 2012 and 2014 due to large reductions on the Siberian shelf seas. The total secular change in SSH between 2003 and 2014 is then dominated by a 2.1?±?0.7 cm increase in ocean mass. We estimate that by 2010, the Beaufort Gyre had accumulated 4600 km3 of freshwater relative to the 2003–2006 mean. Doming of Arctic DOT in the Beaufort Sea is revealed by Empirical Orthogonal Function analysis to be concurrent with regional reductions in the Siberian Arctic. We estimate that the Siberian shelf seas lost ?180 km3 of freshwater between 2003 and 2014, associated with an increase in annual mean salinity of 0.15 psu yr?1. Finally, ocean storage flux estimates from altimetry agree well with high-resolution model results, demonstrating the potential for altimetry to elucidate the Arctic hydrological cycle
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