Results 241 to 250 of about 45,611 (300)

Omnichannel pricing and inventory strategies considering live streaming selling: A data-driven distributionally robust optimization approach. [PDF]

PLoS One
Mou Y, Zhou H, Yang X, Guan Z.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi   +2 more
wiley   +1 more source

Information-Theoretic Cost-Benefit Analysis of Hybrid Decision Workflows in Finance. [PDF]

Entropy (Basel)
Beaucamp P, Maylor H, Chen M.
europepmc   +1 more source

Adaptive Control of Run‐and‐Tumble Escape in Pursuit‐Evasion Dynamics of Intelligent Active Particles

Advanced Intelligent Systems, EarlyView.
The pursuit‐evasion game is studied for two adversarial active agents, modeled as deterministic self‐steering pursuer and stochastic, cognitive evader. For a successful evasion strategy, the motile target has to exploit all available pursuer information, e.g., by tuning the tumbling frequency with the pursuer distance.
Segun Goh, Dennis Haustein, Gerhard Gompper   +2 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
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, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Engineering multispecific antibodies with complete killing selectivity through the closed-loop integration of machine learning and high-throughput experimentation. [PDF]

MAbs
Grace J, Colin PY, Foxler D, Haynes W, Howsham C, Kassimatis L, Mavrogonatou L, Mighell R, McClory J, Mullin M, Ogola T, Townsend A, Ravi S, Wossnig L, van Heeke G.   +14 more
europepmc   +1 more source

Embracing plant plasticity or robustness as a means of ensuring food security. [PDF]

Nat Commun
Alseekh S, Klemmer A, Yan J, Guo T, Fernie AR.   +4 more
europepmc   +1 more source

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Optimal Hedging Ratio Model with Skewness

Systems Engineering - Theory & Practice, 2009
Abstract In this article, we develop an optimal hedging ratio model with skewness and derive the analytical solution of the optimal hedging ratio which can degenerate to mean-variance hedging ratio when co-skewnesses of spot and futures returns become zero.
Long-bin ZHANG, Chun-feng WANG, Zhen-ming FANG   +2 more
openaire   +1 more source

Quantile Estimation of Optimal Hedge Ratio

Journal of Futures Markets, 2015
AbstractIn this study, we analyze the dependence of hedging effectiveness on the realization of spot return by introducing the concept of a quantile hedge ratio. We estimate quantile hedge ratios for 20 different commodities at 15 quantiles. For daily data, we find that the quantile hedge ratio varies with the spot return distribution, displaying an ...
Donald Lien, Keshab Shrestha, Jing Wu
openaire   +1 more source