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Mapping biological ideas: Concept maps as knowledge integration tools for evolution education

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Realand imaginary -time quantum state evolutions are crucial in physics and chemistry for exploring quantum dynamics, preparing ground states, and computing thermodynamic observables. On near -term devices, variational quantum time evolution is a promising ...

College Pk2024

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

David Atienza Alonso, José Angel Miranda Calero, Jonathan Dan, Christodoulos Kechris

Accurate extraction of heart rate from photoplethysmography (PPG) signals remains challenging due to motion artifacts and signal degradation. Although deep learning methods trained as a data-driven inference problem offer promising solutions, they often un ...

2024

Can Children Benefit from Technological Applications for Body Posture Correction to Improve Handwriting? A Study to Quantitatively Investigate the Correlation between Body Posture and Handwriting Quality

Pierre Dillenbourg, Daniel Carnieto Tozadore, Chenyang Wang, Barbara Bruno

Various technological applications for body posture correction have been proposed in order to improve handwriting or facilitate its learning for children, under the common-sense assumption that a better posture promotes better handwriting. However, very li ...

2024

OSSCAR, an open platform for collaborative development of computational tools for education in science

Giovanni Pizzi, Sara Bonella, Dou Du

In this paper we present the Open Software Services for Classrooms and Research (OSSCAR) platform. OSSCAR provides an open collaborative environment to develop and access educational resources in the form of web applications, for which various deployment m ...

ELSEVIER2023

Training science and engineering students to become responsible citizens and professionals requires novel and creative pedagogical approaches, such as design thinking. This concept relies on processes and tools to develop creativity and problem-solving ski ...

2023

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Buildings are a promising source of flexibility for the application of demand response. In this work, we introduce a novel battery model formulation to capture the state evolution of a single building. Being fully data-driven, the battery model identificat ...

IEEE2023

We introduce Tree-AMP, standing for Tree Approximate Message Passing, a python package for compositional inference in high-dimensional tree-structured models. The package provides a unifying framework to study several approximate message passing algorithms ...

2023

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In this study, we develop and apply a directed evolution approach to engineer the optical sensing properties of DNA-wrapped single-walled carbon nanotubes (DNA-SWCNTs) towards mycotoxins, a class of molecules critical to detect in the food industry. We suc ...

2023

Base and Superstructure: A Vulgar Survey of Western Architecture

Marson Korbi, Pier Vittorio Aureli

The lecture attempted to trace the history of architecture as built ideology. The article follows the steps of Manfredo Tafuri’s famous essay ‘Per un critica dell’ideologia architettonica’, published’ in 1969, in the journal Contropiano, the article unders ...

2023

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Ethical concerns in the digital domain are growing with the extremely fast evolution of technology and the increasing scale at which software is deployed, potentially affecting our societies globally. It is crucial that engineers evaluate more systematical ...

2023