Results 21 to 30 of about 23,924 (227)

Analyzing individual rent price ratios in eastern German agricultural land markets: A GAMLSS approach

open access: yesAgribusiness, EarlyView.
Abstract This study explores the rent price ratio in agricultural land markets, crucial for evaluating market efficiency, policy needs, and farmer decision‐making. Traditionally, the analyses faced challenges due to the absence of concurrent sale and rent data for the same land, potentially leading to biased results.
Marius Michels   +4 more
wiley   +1 more source

Near-Optimal Scheduling for LTL with Future Discounting [PDF]

open access: yes, 2015
We study the search problem for optimal schedulers for the linear temporal logic (LTL) with future discounting. The logic, introduced by Almagor, Boker and Kupferman, is a quantitative variant of LTL in which an event in the far future has only ...
G Rahonis   +13 more
core   +1 more source

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

open access: yesApplied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco   +4 more
wiley   +1 more source

Testable Implications of Quasi-Hyperbolic and Exponential Time Discounting [PDF]

open access: yes, 2014
We present the first revealed-preference characterizations of the models of exponential time discounting, quasi-hyperbolic time discounting, and other time-separable models of consumers’ intertemporal decisions.
Echenique, Federico   +2 more
core  

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh   +3 more
wiley   +1 more source

Reversing coma by senolytics and stem cells: the future is now

open access: yesJournal of Translational Medicine
Global cerebral ischemia (GCI) caused by impaired blood flow to the brain—typically following cardiac arrest or traumatic brain injury—remains the leading cause of coma and disorders of consciousness (DoC).
Thomas E. Ichim   +13 more
doaj   +1 more source

Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam [PDF]

open access: yes, 2010
We conducted experiments in Vietnamese villages to determine the predictors of risk and time preferences. In villages with higher mean income, people are less loss-averse and more patient.
Camerer, Colin F.   +2 more
core   +3 more sources

Sensitivity analysis and stochastic optimization of levelized cost of hydrogen production through methane pyrolysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hydrogen plays a crucial role across multiple industrial sectors and is increasingly recognized as a clean energy carrier with significant potential in decarbonization efforts. Methane pyrolysis (MP), particularly using molten metal catalysts, offers a promising pathway for hydrogen production with low CO2 emissions.
Adrian Paredes Bozzo, Zukui Li
wiley   +1 more source

Searching for a Solution to Program Verification=Equation Solving in CCS [PDF]

open access: yes, 2000
International audienceUnder non-exponential discounting, we develop a dynamic theory for stopping problems in continuous time. Our framework covers discount functions that induce decreasing impatience.
Monroy, R., Bundy, Alan, Green, I.
core   +3 more sources

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao   +2 more
wiley   +1 more source

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