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Publications associées (86)

Teaching measurement techniques in biomechanics through inquiry-based labs

Dominique Pioletti, Pierre-Etienne Bourban, Siara Ruth Isaac, Cécile Hardebolle, Oriane Poupart

Inquiry-based labs seek to engage students in an authentic process of scientific inquiry, where students pose and invest scientific questions. The effect of inquiry-based labs has consistently been found to be positive [1]. In addition, the results of Furt ...

2019

Objective Morphological Classification of Neocortical Pyramidal Cells

Henry Markram, Kathryn Hess Bellwald, Srikanth Ramaswamy, Rodrigo de Campos Perin, Marwan Muhammad Ahmed Abdellah, Lida Kanari, Ying Shi, Julie Meystre, Yun Wang

A consensus on the number of morphologically different types of pyramidal cells (PCs) in the neocortex has not yet been reached, despite over a century of anatomical studies, due to the lack of agreement on the subjective classifications of neuron types, w ...

Oxford University Press (OUP)2019

High-throughput stem cell-based phenotypic screening through microniches

Matthias Lütolf, Simone Allazetta, Laura Kolb, Mehmet Ugur Girgin

As the field of tissue engineering develops, methods for screening combinations of signals for their effects on stem cell behavior are needed. We introduce a microgel-based screening platform for testing combinations of in situ-generated proteins on stem c ...

ROYAL SOC CHEMISTRY2019

Raspberry-Pi based system for propofol monitoring

Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Tugba Kilic, Abuduwaili Tuoheti

Induction of anesthesia with propofol is a largely adopted technique in hospital environments. The correct dosage of this compound is essential to avoid under- or over-anesthesia that may result in serious side-effects. Therefore, in clinical settings, lon ...

ELSEVIER SCIENCE BV2018

A 256×256 45/65nm 3D-stacked SPAD-based direct TOF image sensor for LiDAR applications with optical polar modulation for up to 18.6dB interference suppression

Edoardo Charbon, Myung Jae Lee, Preethi Padmanabhan, Augusto Ronchini Ximenes

Light detection and ranging (LiDAR) systems based on direct time-of-flight (DTOF) are used in spacecraft navigation, assembly-line robotics, augmented and virtual reality (AR/VR), (drone-based) surveillance, advanced driver assistance systems (ADAS), and a ...

2018

An Indicator-Based Approach for Analyzing the Resilience of Transitions for Energy Regions – Concept, empirics and reflection

Claudia Rebeca Binder Signer, Romano Tobias Wyss, Susan Marie Mühlemeier

The transition of our current energy system from a fossil-based system to a system based on renewables is likely to be one of the most complex and long-term societal transitions in history. The need for a fundamental system transformation raises the questi ...

2018

Answer validation for generic crowdsourcing tasks with minimal efforts

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

Crowdsourcing has been established as an essential means to scale human computation in diverse Web applications, reaching from data integration to information retrieval. Yet, crowd workers have wide-ranging levels of expertise. Large worker populations are ...

Springer2017

Blind calibration of sensors of sensor arrays

Paul Hurley, Matthieu Martin Jean-André Simeoni, Giovanni Cherubini, Sanaz Kazemi

Embodiments include methods for calibrating sensors of one or more sensor arrays. Aspects include accessing one or more beamforming matrices respectively associated to the one or more sensor arrays. Source intensity estimates are obtained for a set of poin ...

2017

An Indicator-Based Approach for Analyzing the Resilience of Transitions for Energy Regions. Part I: Theoretical and Conceptual Considerations

Claudia Rebeca Binder Signer, Romano Tobias Wyss, Susan Marie Mühlemeier

MDPI2017

Heterogeneous Recommendations: What You Might Like To Read After Watching Interstellar

Rachid Guerraoui, Anne-Marie Kermarrec, Tao Lin, Rhicheek Patra

Recommenders, as widely implemented nowadays by major e-commerce players like Netflix or Amazon, use collaborative filtering to suggest the most relevant items to their users. Clearly, the effectiveness of recommenders depends on the data they can exploit, ...

Assoc Computing Machinery2017

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