Results 221 to 230 of about 2,478,358 (353)

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Sharp Conditions for the BBM Formula and Asymptotics of Heat Content-Type Energies. [PDF]

Arch Ration Mech Anal
Gennaioli L, Stefani G.
europepmc   +1 more source

Vendor Types, Attendance, Experience and Sales 2019–2021: Evidence From Five Rural Oregon Farmers Markets

Agribusiness, EarlyView.
ABSTRACT Farmers markets provide a direct‐to‐consumer marketing path for farmers and small businesses, facilitating customer discovery and product refinement. This paper explores farmers markets as a business incubator, with a focus on beginning vendors and resilience to a shock, namely, COVID‐19 market restrictions.
Mallory L. Rahe, Juo‐Han Tsay, Sarah A. Low   +2 more
wiley   +1 more source

Subpolar North Atlantic Ocean heat content drives 21st-century Arctic multi-decadal variability in CESM1 LE. [PDF]

Sci Rep
Cai D, Chen X.
europepmc   +1 more source

Modelling of the sorption isotherms and determination of the isosteric heat of split pistachios, pistachio kernels and shells [PDF]

, 2018
Sediqeh Soleimanifard, Nasser Hamdami
openalex   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

Agribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo, Fernanda Aparecida Silva, Michelle Márcia Viana Martins, Marcelo José Braga Nonnenberg, Ruan da Silva Vianna, Carla Cristina Passos Cruz   +5 more
wiley   +1 more source

On the Liouville heat kernel for k-coarse MBRW and nonuniversality [PDF]

, 2017
Jian Ding, Ofer Zeitouni, Fuxi Zhang
openalex   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Assessing the performance of a Trombe wall enhanced with phase change material using deep learning. [PDF]

Sci Rep
Krechowicz A, Krechowicz M, Krasoń J, Miąsik P, Lichołai L.   +4 more
europepmc   +1 more source

Killed Random Processes and Heat Kernels [Erratum] [PDF]

, 2005
Javier Villarroel
openalex   +1 more source