Results 121 to 130 of about 336,506 (292)

Depth‐of‐Discharge‐Dependent Chemical Evolution in Sulfurized Polyacrylonitrile Cathodes for Ether‐Based Room‐Temperature Sodium–Sulfur Batteries

Advanced Energy Materials, EarlyView.
Sulfurized polyacrylonitrile (SPAN) is investigated as a cathode for room‐temperature Na–S batteries in ether‐based electrolytes under controlled discharge depths. Depth‐of‐discharge‐dependent structural evolution reveals that deep discharge below 1.0 V destabilizes SPAN structure, alters polysulfide equilibria, and promotes sodium dendrite formation ...
Liwen Yang, Angelina Sarapulova, Bercis Pektas, Rong Li, Hatice Mutlu, Sonia Dsoke   +5 more
wiley   +1 more source

Comparative Analysis of Machine Learning Algorithms for Health Insurance Pricing

JOIV: International Journal on Informatics Visualization
Insurance is an effective way to guard against potential loss. Risk management is primarily employed to protect against the risk of a financial loss. Risk and uncertainty are inevitable parts of life, and the pace of life has led to a rise in these risks
Yoon-Teck Bau, Shuhail Azri Md Hanif
doaj   +1 more source

Tax Policy and Farm Organization

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Tax Cuts and Jobs Act (TCJA) introduced substantial changes to the tax code, affecting farms' organizational incentives. This study examines farms' responses to the TCJA along extensive and intensive margins, focusing on organizational and labor expense adjustments.
Tia M. McDonald, Katherine Lacy
wiley   +1 more source

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source

MSE-optimale crossover designs

, 2017
In der optimalen Versuchsplanung für Crossover Designs wurde bislang ein starker Fokus auf das optimale Schätzen der Behandlungskontraste gelegt. Nahezu unbetrachtet blieben bislang jedoch Modellmisspefizikation, insbesondere wenn carryover-Effekte auftreten, aber nicht ins Modell aufgenommen werden.
openaire   +2 more sources

Examining the Impact of Row Planting on Labor Use for Sustainable Food Production Among Maize Farmers in Rural Ghana

Agribusiness, EarlyView.
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah, Habtamu Alem, Abdulai Adams, Tomáš Ratinger, Miroslava Bavorová   +4 more
wiley   +1 more source

Regression Neural Networks Advantage over Classical Regression Analysis

RUDN Journal of Engineering Research
In this study, two analyzing methods are used to predict housing prices in California: neural network forecasting methods and methods based on regression analysis.
Olga A. Saltykova, Vyacheslav D. Saushkin   +1 more
doaj   +1 more source

The Maunakea Spectroscopic Explorer Book 2018

, 2018
(Abridged) This is the Maunakea Spectroscopic Explorer 2018 book. It is intended as a concise reference guide to all aspects of the scientific and technical design of MSE, for the international astronomy and engineering communities, and related agencies.
Anthony, Andre, Ariño, Javier, Babas, Ferdinand, Bagnoud, Gregoire, Baker, Gabriella, Barrick, Gregory, Bauman, Steve, Benedict, Tom, Berthod, Christophe, Bilbao, Armando, Bizkarguenaga, Alberto, Blin, Alexandre, Bradley, Colin, Brousseau, Denis, Brown, Rebecca, Brzeski, Jurek, Brzezik, Walter, Caillier, Patrick, Campo, Ramón, Carton, Pierre-Henri, Chu, Jiaru, Churilov, Vladimir, Crampton, David, Crofoot, Lisa, Dale, Laurie, de Bilbao, Lander, de la Maza, Markel Sainz, de Rivera, Guillermo González, Devost, Daniel, Edgar, Michael, Erickson, Darren, Farrell, Tony, Flagey, Nicolas, Fouque, Pascal, Fournier, Paul, Garrido, Javier, Gedig, Mike, Geyskens, Nicolas, Gilbert, James, Gillingham, Peter, Green, Greg, Grigel, Eric, Hall, Patrick, Hill, Alexis, Ho, Kevin, Horville, David, Hu, Hongzhuan, Irusta, David, Isani, Sidik, Jahandar, Farbod, Kaplinghat, Manoj, Kielty, Collin, Kulkarni, Neelesh, Lahidalga, Leire, Laurent, Florence, Lawrence, Jon, Laychak, Mary Beth, Lee, Jooyoung, Liu, Zhigang, Loewen, Nathan, Lorentz, Thomas, Lorgeoux, Guillaume, López, Fernando, Mahoney, Billy, Mali, Slavko, Manuel, Eric, Martínez, Sofía, Mazoukh, Celine, McConnachie, Alan, Messaddeq, Younès, Migniau, Jean-Emmanuel, Mignot, Shan, Monty, Stephanie, Morency, Steeve, Mouser, Yves, Muller, Rolf, Muller, Ronny, Murga, Gaizka, Murowinski, Rick, Nicolov, Victor, Pai, Naveen, Pawluczyk, Rafal, Pazder, John, Petric, Andreea, Prada, Francisco, Pécontal, Arlette, Rai, Corinne, Ricard, Coba, Roberts, Jennifer, Rodgers, J. Michael, Rodgers, Jane, Ruan, Federico, Russelo, Tamatea, Salmom, Derrick, Saunders, Will, Scott, Case, Sheinis, Andy, Simons, Douglas, Smedley, Scott, Szeto, Kei, Sánchez, Justo, Tang, Zhen, Teran, Jose, Thibault, Simon, Thirupathi, Sivarani, Tresse, Laurence, Troy, Mitchell, Urrutia, Rafael, van Vuuren, Emile, Venkatesan, Sudharshan, Venn, Kim, Vermeulen, Tom, Villaver, Eva, Waller, Lew, Wang, Jianping, Wang, Lei, Williams, Eric, Wilson, Matt, Withington, Kanoa, Yong, David, Yèche, Christophe, Zhai, Chao, Zhang, Kai, Zhelem, Ross, Zhou, Zengxiang   +124 more
core  

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

Agribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann, Ching‐Hua Yeh, Matthew Gorton, Barbara Tocco, Áron Török   +4 more
wiley   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source