Results 131 to 140 of about 2,319,703 (312)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Minnesota Forest Scene, Issue 19 (Fall 2017)

, 2017
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources; University of Minnesota, Department of Forest Resources. (2017). Minnesota Forest Scene, Issue 19 (Fall 2017).
University of Minnesota, Department of Forest Resources, University of Minnesota. Department of Forest Resources   +1 more
core  

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

American Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt, Stefan Seifert, Saskia Wolff, Tobia Lakes, Marten Graubner, Axel Werwatz, Silke Hüttel   +6 more
wiley   +1 more source

Minnesota Forest Scene, Issue 18 (Spring 2017)

, 2017
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2017). Minnesota Forest Scene, Issue 18 (Spring 2017).
Department of Forest Resources, University of Minnesota, University of Minnesota. Department of Forest Resources   +1 more
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Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

Minnesota Forest Scene, Issue 17 (Fall 2016)

, 2016
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2016). Minnesota Forest Scene, Issue 17 (Fall 2016).
Department of Forest Resources, University of Minnesota, University of Minnesota. Department of Forest Resources   +1 more
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Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

Minnesota Forest Scene, Issue 21 (Fall 2018)

, 2018
1 electronic resource (PDF, 9 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2018). Minnesota Forest Scene, Issue 21 (Fall 2018).
Department of Forest Resources, University of Minnesota, University of Minnesota. Department of Forest Resources   +1 more
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Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source

Minnesota Forest Scene, Issue 23 (Fall 2019)

, 2019
1 electronic resource (PDF, 16 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2019). Minnesota Forest Scene, Issue 23 (Fall 2019).
Department of Forest Resources, University of Minnesota, University of Minnesota. Department of Forest Resources   +1 more
core