1. POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance 

   Arcieri, Giacomo; Hoelzl, Cyprien; Schwery, Oliver; et al. (2024)

   Machine Learning

   Partially Observable Markov Decision Processes (POMDPs) can model complex sequential decision-making problems under stochastic and uncertain environments. A main reason hindering their broad adoption in real-world applications is the unavailability of a suitable POMDP model or a simulator thereof. Available solution algorithms, such as Reinforcement Learning (RL), typically benefit from the knowledge of the transition dynamics and the ...

   Journal Article

2. Precision epileptology: digital biomarkers and cognitive proxies for personalized care 

   Jokeit, Hennric; Kaufmann, Elisabeth; Peltola, Jukka; et al. (2024)

   CLINICAL EPILEPTOLOGY

   The widespread accessibility of smart devices, even if not designated as medical devices, coupled with the critical need for ongoing monitoring of patients taking anti-seizure medication or undergoing new stimulation therapies highlights the urgent need for collaborative research across disciplines. These therapies, while beneficial, may cause sporadic or temporally dynamic side effects affecting cognition and behavior that cannot be ...

   Review Article

3. Linearizing nonlinear gravity models: Biased BvOLS versus unbiased alternatives 

   Egger, Peter H.; Pfaffermayr, Michael (2024)

   JOURNAL OF REGIONAL SCIENCE

   The use of high-dimensional fixed-effects estimation has become customary with the estimation of gravity models of bilateral trade, migration, or commuting as outcome. However, fixed-effects methods can be used without incidental-parameter bias in a very small set of stochastic models. Alternatives to fixed-effects estimation are iterative-structural model estimation or linearizations of the structural model. Baier and Bergstrand deployed ...

   Journal Article

4. Biodegradable and Flexible Wood-Gelatin Composites for Soft Actuating Systems 

   Koch, Sophie Marie; Dreimol, Christopher Hubert; Goldhahn, Christian; et al. (2024)

   ACS SUSTAINABLE CHEMISTRY & ENGINEERING

   Compliant materials are indispensable for many emerging soft robotics applications. Hence, concerns regarding sustainability and end-of-life options for these materials are growing, given that they are predominantly petroleum-based and non-recyclable. Despite efforts to explore alternative bio-derived soft materials like gelatin, they frequently fall short in delivering the mechanical performance required for soft actuating systems. To ...

   Journal Article

5. Dual Functional Antibacterial-Antioxidant Core/Shell Alginate/Poly(ε-caprolactone) Nanofiber Membrane: A Potential Wound Dressing 

   Norouzi, Mohammad-Reza; Ghasemi-Mobarakeh, Laleh; Itel, Fabian; et al. (2024)

   ACS Omega

   Core/shell nanofibers offer the advantage of encapsulating multiple drugs with different hydrophilicity in the core and shell, thus allowing for the controlled release of pharmaceutic agents. Specifically, the burst release of hydrophilic drugs from such fiber membranes causes an instantaneous high drug concentration, whereas a long and steady release is usually desired. Herein, we tackle the problem of the initial burst release by the ...

   Journal Article

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