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Sebastian C. Ibañez and Christopher P. Monterola
Accurate prediction of crop production is essential in effectively managing the food security and economic resilience of agricultural countries. This study evaluates the performance of statistical and machine learning-based methods for large-scale crop p...
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Frederick Cropp, Jinhao Ruan, James Santucci, Daniel MacLean, Alex H. Lumpkin, Christopher C. Hall, Jonathan P. Edelen, Alex Murokh, Daniel Broemmelsiek and Pietro Musumeci
The FAST beamline is the injector for the planned Gamma-Ray Electron ENhanced Source (GREENS) program, which aims to achieve the demonstration and first application of a high-efficiency, high-average-power free-electron laser at 515 nm. FAST-GREENS requi...
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Amrita Dutta, Scott P. Breloff, Dilruba Mahmud, Fei Dai, Erik W. Sinsel, Christopher M. Warren and John Z. Wu
Awkward kneeling in sloped shingle installation operations exposes roofers to knee musculoskeletal disorder (MSD) risks. To address the varying levels of risk associated with different phases of shingle installation, this research investigated utilizing ...
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Anson Stewart, P. Christopher Zegras
Pág. 635 - 650
As transport planners increasingly frame project impacts in accessibility terms, it is worth considering how this foundational land-use transport interaction concept can shape stakeholder attitudes. In this paper, we test whether framing the benefits of ...
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Emilio Mezzenga, Anna Sarnelli, Giovanni Bellomo, Frank P. DiFilippo, Christopher J. Palestro and Kenneth J. Nichols
(1) Background: Concentric ring artifacts in reconstructed SPECT images indicate the presence of detector non-uniformity in gamma camera systems. The identification of these artifacts is generally visual and not quantitative. The aim of our study was to ...
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Sara Seager, Janusz J. Petkowski, Christopher E. Carr, David H. Grinspoon, Bethany L. Ehlmann, Sarag J. Saikia, Rachana Agrawal, Weston P. Buchanan, Monika U. Weber, Richard French, Pete Klupar, Simon P. Worden, Darrel Baumgardner and on behalf of the Venus Life Finder Mission Team
Finding evidence of extraterrestrial life would be one of the most profound scientific discoveries ever made, advancing humanity into a new epoch of cosmic awareness. The Venus Life Finder (VLF) missions feature a series of three direct atmospheric probe...
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Rachana Agrawal, Weston P. Buchanan, Archit Arora, Athul P. Girija, Maxim De Jong, Sara Seager, Janusz J. Petkowski, Sarag J. Saikia, Christopher E. Carr, David H. Grinspoon, James M. Longuski and on behalf of Venus Life Finder Mission Team
Venus is known for its extreme surface temperature and its sulfuric acid clouds. But the cloud layers on Venus have similar temperature and pressure conditions to those on the surface of Earth and are conjectured to be a possible habitat for microscopic ...
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Sara Seager, Janusz J. Petkowski, Christopher E. Carr, Sarag J. Saikia, Rachana Agrawal, Weston P. Buchanan, David H. Grinspoon, Monika U. Weber, Pete Klupar, Simon P. Worden, Iaroslav Iakubivskyi, Mihkel Pajusalu, Laila Kaasik and on behalf of the Venus Life Finder Mission Team
For over half a century, scientists have contemplated the potential existence of life within the clouds of Venus. Unknown chemistry leaves open the possibility that certain regions of the Venusian atmosphere are habitable. In situ atmospheric measurement...
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Felista W. Mwangi, Shedrach B. Pewan, John R. Otto, Oyelola A. Adegboye, Edward Charmley, Christopher P. Gardiner, Bunmi S. Malau-Aduli, Robert T. Kinobe and Aduli E. O. Malau-Aduli
This study explored the identification of single nucleotide polymorphisms (SNP) in fatty acid binding protein 4 (FABP4), stearoyl-CoA desaturase (SCD), and fatty acid synthase (FASN) genes that may influence the carcass traits of tropical crossbred beef ...
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Christopher T. Nietch, Leslie Gains-Germain, James Lazorchak, Scott P. Keely, Gregory Youngstrom, Emilee M. Urichich, Brian Astifan, Abram DaSilva and Heather Mayfield
A data-driven approach to characterizing the risk of cyanobacteria-based harmful algal blooms (cyanoHABs) was undertaken for the Ohio River. Twenty-five years of river discharge data were used to develop Bayesian regression models that are currently appl...
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