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Doctoral; Experimental studies are prevalent in (Bio)informatics, as in many fields involving computer science. While reproducibility is crucial for science, it is difficult and often overlooked. This presentation introduces a curated list of tools that can help improving reproducibility for experimental computer science. It may incidentally insists on testing...

Abstract for invited Talk at Silvaco UseRs Global Events (SURGE) 2021; The recent trend of development of the Internet of Things (IoT) technology calls for the implementation of Artificial Intelligence at the Edge. This imposes the devising of suitable computing engines overcoming the limitations of common von Neumann architectures. In this respect, oscillatory neural networks (ONNs) are appealing ultra-low-power neuromorphic architectures promising to perform sophisticated tasks, such as pattern recognition, in edge devices. Key elements of ONNs are the oscillators mimicking the neurons. The use of beyond-CMOS devices based on vanadium dioxide (VO2) to realize these oscillators is an innovative step for the ONN technology, compared to traditional realizations through CMOS-based oscillators. The core mechanism operating in VO2 devices is the insultor-to-metal transition (IMT) of VO2, which undergoes a phase transition triggered by the temperature induced by self-heating from a high-resistive monoclinic (M1) crystal structure to a low-resistive tetragonal rutile-like (R) one. The use of commercial TCAD software tools to simulate VO2 devices is essential prerequisite to boost the development of ONN technology. This requires in turn dedicated TCAD modeling approaches to simulate thermal-induced resistive switching effects in VO2 devices. In the present contribution, results will be shown over 3D electrothermal simulations of a relaxation oscillator based on a VO2 device and the impact of material properties and geometry over its self-oscillatory behavior will be investigated.

The Second ENCORE European conference in October 2021 in Paris, France, has gathered two communities, the Risk Perception and Behaviour Survey of Surveyors (Risk-SoS) and the H2020-DRS01 Cluster on risk perception and adaptive behaviour (a grouping of several Horizon Europe – Disaster Resilient Societies projects, most notably RESILOC, BUILDERS, ENGAGE, LINKS, CORE and Risk PACC). During the Covid-19 pandemic lockdowns in 2020 and 2021 the monthly Risk-SoS webinars have been keeping the risk perception and adaptive behaviour research community together with panels on the role of theories in research on hazards adaptation, resilience and vulnerability. Topics were on risk perception and behaviour across challenges and time, across disciplines and methods, as well as panel and longitudinal approaches, and workshops on theories and methods to advance the design of a collective surveying approach with potentially common questions and answers’ scales to foster comparability. The Risk-SoS webinars have also been discussing the results of the Survey of Surveyors and sustaining the collective effort to build a harmonised approach for risk perception and adaptive behaviour assessment. In an hybrid format, the Second ENCORE conference has gathered 25 researchers and experts from 10 countries (Austria, Belgium, France, Germany, the Netherlands, Poland, Spain, Sweden, Switzerland and the United Kingdom) at the Ministry of Research in Paris, France.

Présentation d'une source d'archive : les dossiers de naturalisation en France

URL des Documents de travail : https://centredeconomiesorbonne.cnrs.fr/publications/Voir aussi l'article basé sur ce document de travail paru dans "Games, MDPI, 2020, 11 (4); Documents de travail du Centre d'Economie de la Sorbonne 2021.05 - ISSN : 1955-611X; The paper presents a survey on selected models of opinion dynamics. Both discrete (more precisely, binary) opinion models as well as continuous opinion models are discussed. We focus on frameworks that assume non-Bayesian updating of opinions. In the survey, a special attention is paid to modeling nonconformity (in particular, anticonformity) behavior. For the case of opinions represented by a binary variable, we recall the threshold model, the voter and q-voter models, the majority rule model, and the aggregation framework. For the case of continuous opinions, we present the DeGroot model and some of its variations, time-varying models, and bounded confidence models.; Le papier présente une sélection de modèles de dynamique d'opinion. Les modèles discrets (plus précisément, binaires) ainsi que les modèles continus sont discutés. Nous nous focalisons sur les modèles qui supposent une mise à jour non-Bayésienne des opinions. Dans ce tour d'horizon, une attention spéciale est dévolue à la modélisation de la non-conformité (en particulier, l'anti-conformisme). Pour le cas des opinions binaires, nous rappelons le modèle à seuil, les modèles du votant et q-votant, le modèle de la majorité ainsi que les modèles d'agrégation. Pour le cas des opinions continues, nous présentons le modèle de DeGroot et quelques une de ses variantes, les modèles dépendant du temps et les modèles à confiance bornée.

Doctoral

The systematic review requires a strict methodology and the best practice is to create and register a protocol, since the systematic review with design and compliance with the protocol has better quality and has less risk for reporting bias. Protocols include the research question, team members, search strategy, databases to search, inclusion and exclusion criteria, quality assessment tool, data extraction template, software, and more. Thereby, the systematic review developed by the CAMIN team “Effectiveness of hybrid robotic rehabilitation system on upper limb recovery of people with central injuries: a systematic review with meta-analysis” created a protocol and published it in the International Prospective Register of Systematic Reviews - PROSPERO an international database of prospectively registered systematic reviews in health and social care. PROSPERO aims to provide a comprehensive listing of systematic reviews registered at inception, to help to avoid unplanned duplication, and to provide transparency in the review process to minimize reporting bias by enabling comparison of the completed review with what was planned in the protocol. Registration in PROSPERO involves the submission and publication of key information about the design and conduct of a systematic review. Key features from the review protocol are recorded and maintained as a permanent record in PROSPERO and records are published on an open-access electronic database. This online database is produced by Centre for Reviews and Dissemination (CRD) at the University of York in England and funded by the National Institute for Health Research (NIHR).; Previous studies indicate that hybrid robotic rehabilitation systems (HRRS) may be more effective in improving motor control and functional skills compared to robotic therapy alone in patients with hemiparesis after chronic stroke and compared to traditional physical therapy in individuals with acute stroke. However, although studies prove the potential benefit of this technology, few randomized controlled trials have been conducted so far and no systematic literature review has been carried out. Systematic reviews are necessary because it is the most appropriate and current method for summarizing and synthesizing evidences about the effectiveness and effects of interventions. Therefore, this project investigates systematically the effects of HRRS on central injuries upper limb recovery based on each of the International Classification of Functioning, Disability and Health (ICF) domains. This study contributes to the development of new hybrid neuroprostheses that are proven to be effective for upper limb rehabilitation.This systematic review is done with the participation of physicians, occupational therapists and engineers.

Publiée par l’Encyclopédie d’histoire numérique de l’Europe (EHNE), en ligne sur la chaîne YouTube de Sorbonne Université :https://youtu.be/v-lEyquFCcU; vidéo de 4,11 mn publiée par l’Encyclopédie d’histoire numérique de l’Europe (EHNE), en ligne sur la chaîne YouTube de Sorbonne Université : https://youtu.be/v-lEyquFCcU