Results 131 to 140 of about 562,288 (324)

Impacts of Land Ownership and Debt Levels on Farm Survival and Financial Growth [PDF]

This paper examines the impact of alternative land ownership and debt levels on profitability, growth, and survival of representative cash grain and beef farm, using South Dakota conditions as case examples.
Cole, John D., Janssen, Larry, Pattanaik, Nalini   +2 more
core   +1 more source

Video and Text‐Based Supplemental Health Information and Consumer Willingness to Pay for Nutrient‐Enhanced Eggs

Agribusiness, EarlyView.
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor, Michael J. Best, Anita R. Best, Ondulla T. Toomer   +3 more
wiley   +1 more source

Matrix of technical solutions based on artificial intelligence in the professional training of future lawyers

Вестник Тамбовского университета. Серия: Гуманитарные науки
Importance. The current stage of technological development of society is characterized by the intensive integration of artificial intelligence (AI) technologies into professional spheres.
P. V. Sysoyev, M. V. Gavrilov, S. Yu. Bulochnikov   +2 more
doaj   +1 more source

Visionary Leadership in Cancer Care: An Interview With Professor Timothy J. Eberlein

Annals of Gastroenterological Surgery, EarlyView.
Professor Timothy J. Eberlein and Professor Ken Shirabe, President of the Japanese Society of Gastroenterological Surgery, during their interview discussing the vision, strategic framework, and leadership that shaped the development of the Siteman Cancer Center into a world‐class institution. ABSTRACT This is a short interview with Professor Timothy J.
Ken Shirabe, Koshi Mimori, Masaki Mori, Yuko Kitagawa   +3 more
wiley   +1 more source

Reconstructing lease-to-own contracts: A contemporary approach to Islamic banking standards. [PDF]

Heliyon, 2023
Fayyad M.
europepmc   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Impacts of Biogas Production on the Production Factors Land and Labour – Current Effects, Possible Consequences and Further Research Needs

International Journal on Food System Dynamics, 2013
Among the members of the European Union (EU), Germany has the largest biogas produc-tion from agricultural sources. However, many other EU member states are creating the necessary conditions for rapid growth in this area.
Carsten H. Emmann, Welf Guenther-Lübbers, Ludwig Theuvsen   +2 more
doaj  

City of Grimes, Independent Auditor's Reports, Basic Financial Statements and Supplementary Information, Schedule of Findings, June 30, 2005 [PDF]

, 2006
City Audit ...

core  

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source