Results 91 to 100 of about 503,543 (339)
Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley +1 more source
Valuing fuel diversification in optimal investment policies for electricity generation portfolios [PDF]
Optimal capacity allocation for investments in electricity generation assets can be deterministically derived by comparing technology specific long-term and short-term marginal costs.
Christoph Weber, Malte Sunderkoetter
core
Duality Theory for Portfolio Optimisation under Transaction Costs [PDF]
For portfolio optimisation under proportional transaction costs, we provide a duality theory for general cadlag price processes. In this setting, we prove the existence of a dual optimiser as well as a shadow price process in a generalised sense.
Czichowsky, Christoph +1 more
core +1 more source
Market‐Based Nutrition Regulation and Adult BMI Dynamics in Latin America
ABSTRACT Market‐based nutrition policies, including interpretative labeling systems and taxes on sugar‐sweetened beverages (SSBs), have been widely adopted across Latin America to influence dietary choices and address rising obesity rates. While prior research documents change in food purchasing and product reformulation following these policies ...
Emiliano Lopez Barrera, Grace Melo
wiley +1 more source
The regional electricity generation mix in Scotland: A portfolio selection approach [PDF]
Standalone levelised cost assessments of electricity supply options miss an important contribution that renewable and non-fossil fuel technologies can make to the electricity portfolio: that of reducing the variability of electricity costs, and their ...
Grant Allan +3 more
core
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Classical Ergodicity and Modern Portfolio Theory [PDF]
Geoffrey Poitras, John Heaney
openalex +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source

