Priscianus Grammatius Caesariensis. Institutes Grammaticarum Cum Glossis Marginalibus Et Interlinearibus Fragmentus SAEC. X Exeuntis

https://egrove.olemiss.edu/medieval/1000/thumbnail.jp

Quarkonium correlators and spectral functions at zero and finite temperature from Fermilab action

We study charmonium and bottomonium systems at zero and finite temperatures using Lattice QCD with Fermilab action on anisotropic lattices.Comment: contribution to Hard Probes 200

L. S. Dearing

43-1Revolutionary PensionsReport : Memorial of W. Dearing. [1625] Served in Seminole war.1874-15

Translation of N.S.Trubetskoi's works 3 "Real nationalism and false nationalism" "Pan-Eurasian nationalism"

40020083398departmental bulletin pape

John McCartney

24-1ClaimsReport on Case of J. McCartney. [294] Payment for cattle straying on Cherokee Indian lands and driven off by U.S. troops.1836-9

Benjamin Yates

35-1Invalid PensionsReport : Memorial of B. Yates. [968] Indian hostilities; 1812; Ohio.1858-13

Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks

This paper analyses the accuracy of a selection of expressions currently available to estimate the in-plane shear strength of reinforced masonry (RM) walls, including those presented in some international masonry codes. For this purpose, predictions of such expressions are compared with a set of xperimental results reported in the literature. The experimental database includes specimens built with ceramic bricks and concrete blocks tested in partially and fully grouted conditions, which typically present a shear failure mode. Based on the experimental data collected and using artificial neural networks (ANN), this paper presents alternative expressions to the different existing methods to predict the in-plane shear strength of RM walls. The wall aspect ratio, the axial pre-compression level on the wall, the compressive strength of masonry, as well as the amount and spacing of vertical and horizontal reinforcement throughout the wall are taken into consideration as the input parameters for the proposed expressions. The results obtained show that ANN-based proposals give good predictions and in general fit the experimental results better than other calculation methods.This work was supported by the Fondo Nacional de Ciencia y Tecnologia de Chile, (Fondecyt de Iniciacion) [grant number 11121161].Aguilar, V.; Sandoval, C.; Adam Martínez, JM.; Garzón-Roca, J.; Valdebenito, G. (2016). Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks. Structure and Infrastructure Engineering. 12(12):1661-1674. https://doi.org/10.1080/15732479.2016.1157824S16611674121

cespitosa

Deschampsia cespitosa (Linnaeus) Palisot de Beauvoistufted hairgrass;tussock grass;small-flowered ticklegrassdeschampsie cespiteuseMile 51, Dempster Highwayin gravel pit; soil wet4500 fee

Infographic on High Impact Practices, Designed for Administration/Faculty

This infographic on high impact practices was designed to inform and assist faculty and administration

flettii

Packera flettii (Wiegand) W.A. Weber & Á. LöveFlett's ragwortChinook Pass area, Pacific Crest Trail, N. side of ridge above Sheep Lakeopen scre