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This Best Readings is on the interdisciplinary field of molecular communication. It targets interested readers in communications engineering, the natural sciences, and medicine.
Thermal analysis of battery components is crucial for developing effective battery thermal management strategies that improve the performance of batteries, extend their operational life, and prevent thermal runaway, which is essential to build inherently safer batteries.
A pre-proof study in Pattern Recognition has proposed a novel motion-blurred image restoration framework based on blur parameter estimation and fuzzy inference neural networks. The proposed restoration framework produces high-quality image restoration results.
Projects with new seed funding from Princeton University’s Schmidt DataX Fund include one to improve the safety of autonomous driving and another to explore the dynamics of human thought.
Stochastic processes are employed in this paper to capture the evolution of daily mean temperatures, with the goal of pricing temperature-based weather options. A stochastic harmonic oscillator model is proposed for the temperature dynamics and results of numerical simulations and parameter estimation are presented. The temperature model is used to price a one-month call option and a sensitivity analysis is undertaken to examine how call option prices are affected when the model parameters are varied.