Growth Performance by Stocker Steers Fed Magnesium-Mica During a Grazing and Feedlot Period1,21Contribution No. 00-35-J from the Kansas Agriculture Experiment Station.2Appreciation is expressed to Micro-Lite, LLC, (Chanute, KS) for providing magnesium-mica and partial financial support for the project and to Ronald McNickle, Terry Green, Rick Black, Larry Ellis, and Robert Middleton for assistance with sample collection and animal care.

2000 ◽  
Vol 16 (3) ◽  
pp. 175-181 ◽  
Author(s):  
K.P. Coffey ◽  
J.L. Moyer ◽  
L.W. Lomas ◽  
F.K. Brazle ◽  
T.G. Nagaraja
2020 ◽  
Author(s):  
Carlos Ribeiro ◽  
Pedro Terrinha ◽  
Marcos Rosa ◽  
Marta Neres ◽  
João Noiva ◽  
...  

<p>The Tagus River ebb-delta is located near an important city center off Lisbon, Portugal. The Tagus delta hosts various kilometer scale landslides, the most important of which has been mapped and described with a presumable age of ~11 ky and 10 km in length, 4 km wide and 20 m of maximum thickness. An equivalent area of gas trapped in the sediments has also been reported (Terrinha et al., 2019).</p><p>The TAGUSGAS project aims at characterizing the nature and source of the gas. A multibeam and backscatter survey was carried out recently covering an area of 44 km<sup>2</sup>. Several morphologic artifacts were found. The magnetic survey carried out simultaneously allows at discriminating the anthropogenic origin of some of these artifacts. It also allows at distinguishing gas and igneous rock sources of acoustic blanking in the seismic reflection record.</p><p>The multibeam and backscatter basemap also serves as a tool to decide targets for seafloor sites for sample collection.</p><p>The authors would like to acknowledge the FCT financial support through project UIDB/50019/2020 – IDL and TAGUSGAS project (PTDC/CTA-GEO/31885/2017).</p>


2021 ◽  
Author(s):  
Auguste Gires ◽  
Ioulia Tchiguirinskaia ◽  
Daniel Schertzer

<p>Universal Multifractals have been widely used to characterize and simulate geophysical fields extremely variable over a wide range of scales such as rainfall. Despite strong limitations, notably its non-stationnarity, discrete cascades are often used to simulate such fields. Recently, blunt cascades have been introduced in 1D and 2D to cope with this issue while remaining in the simple framework of discrete cascades. It basically consists in geometrically interpolating over moving windows the multiplicative increments at each cascade steps.</p><p> </p><p>In this paper, we first suggest an extension of this blunt cascades to space-time processes. Multifractal expected behaviour is theoretically established and numerically confirmed. In a second step, a methodology to address the common issue of guessing the missing half of a field is developed using this framework. It basically consists in reconstructing the increments of the known portion of the field, and then stochastically simulating the ones for the new portion, while ensuring the blunting the increments on the portion joining the two parts of the fields. The approach is tested with time series, maps and in a space-time framework. Initial tests with rainfall data are presented.</p><p> </p><p>Authors acknowledge the RW-Turb project (supported by the French National Research Agency - ANR-19-CE05-0022), for partial financial support.</p>


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