A European perspective on alternatives to animal testing for environmental hazard identification and risk assessment

Modified capillary number to standardize droplet generation in suction-driven microfluidics

In droplet microfluidic devices with suction-based flow control, the microchannel geometry and suction pressure at the outlet govern the dynamic properties of the two phases that influence the droplet generation. Therefore, it is critical to understand the ...

Springer Heidelberg2024

Strategy to systematically design and deploy the ITER plasma control system: A system engineering and model-based design approach

Federico Alberto Alfredo Felici, Richard Pitts, Federico Pesamosca, Anna Ngoc Minh Trang Vu

The paper details the process of developing the ITER Plasma Control System (PCS), that is, how to design and deploy it systematically, in the most efficient and effective manner. The integrated nature of the ITER PCS, with its multitude of coupled control ...

Elsevier Science Sa2024

RE:SLAB — a load bearing system for open-ended component reuse in building structures

Corentin Jean Dominique Fivet, Jan Friedrich Georg Brütting, Dario Redaelli, Edisson Xavier Estrella Arcos, Alex-Manuel Muresan

The construction industry plays a major role in the high levels of greenhouse gas emissions, resource consumption, and waste generation observed nowadays. Key to the circular economy, structural component reuse arises as a promising solution to divert cons ...

2024

Oligolithic Cross-task Optimizations across Isolated Workloads

Anastasia Ailamaki, Eleni Zapridou, Panagiotis Sioulas

Enterprises collect data in large volumes and leverage them to drive numerous concurrent decisions and business processes. Their teams deploy multiple applications that often operate concurrently on the same data and infrastructure but have widely differen ...

2024

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...

Pergamon-Elsevier Science Ltd2024

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

The aircraft assembly system is highly complex involving different stakeholders from multiple domains. The design of such a system requires comprehensive consideration of various industrial scenarios aiming to optimize key performance indicators. Tradition ...

Elsevier Sci Ltd2024

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

Yves Perriard, Yoan René Cyrille Civet, Paolo Germano, Christian Köchli, Sofia Lydia Ntella, Kenny Jeanmonod, Bhawnath Tiwari

Plantar pressure plays a crucial role in the pathogenesis of foot ulcers among patients with diabetes and peripheral polyneuropathy. Pressure relief is a key requirement for both the prevention and treatment of plantar ulcers. Conventional medical practice ...

2024

Estrogenic, Genotoxic, and Antibacterial Effects of Chemicals from Cryogenically Milled Tire Tread

Kristin Schirmer, Florian Frédéric Vincent Breider, Benoît Jean Dominique Ferrari, Thibault Béranger Masset

Tire and road wear particles (TRWP) contain complex mixtures of chemicals and release them to the environment,and potential toxic effects of these chemicals still need to be characterized. We used a standardized surrogate for TRWP,cryogenically milled tire ...

2024

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

Colin Neil Jones, Loris Di Natale, Jicheng Shi, Emilio Maddalena, Yingzhao Lian

This manuscript offers the perspective of experimentalists on a number of modern data-driven techniques: model predictive control relying on Gaussian processes, adaptive data-driven control based on behavioral theory, and deep reinforcement learning. These ...

2023

A European perspective on alternatives to animal testing for environmental hazard identification and risk assessment

Modified capillary number to standardize droplet generation in suction-driven microfluidics

Strategy to systematically design and deploy the ITER plasma control system: A system engineering and model-based design approach

RE:SLAB — a load bearing system for open-ended component reuse in building structures

Dynamical simulation via quantum machine learning with provable generalization

Oligolithic Cross-task Optimizations across Isolated Workloads

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

Estrogenic, Genotoxic, and Antibacterial Effects of Chemicals from Cryogenically Milled Tire Tread

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

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Modified capillary number to standardize droplet generation in suction-driven microfluidics

Strategy to systematically design and deploy the ITER plasma control system: A system engineering and model-based design approach

RE:SLAB — a load bearing system for open-ended component reuse in building structures

Dynamical simulation via quantum machine learning with provable generalization

Oligolithic Cross-task Optimizations across Isolated Workloads

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

Estrogenic, Genotoxic, and Antibacterial Effects of Chemicals from Cryogenically Milled Tire Tread

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning