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International audience; Group analysis consists of using an anatomical space as reference, transferring data such as contact location and extend of stimulation from each patient and relating them to the symptomatic effect. Analyzing past implantations should support understanding the mechanisms of action of DBS and predicting outcome in new patients. Most studies place their focus on the chronic stimulation situation, with the lead at a fixed position in the brain. This results in few data samples per patient, requiring large cohorts. On the other hand, intra-operative tests are an attractive source of data. The aim of this study was to develop a fully automated pipeline for analyzing the results of intra-operative stimulation tests of ventro-intermediate nucleus of the thalamus (Vim) for ET using high-fidelity data and exemplify the pipeline on a group of patients. Data from 19 DBS patients (6 ET, 16 PD) from the University Hospital Clermont-Ferrand (France) was used to create an MR template including patient-specific labels, resulting in a probabilistic definition of 57 deep brain structures. Data from the 6 ET patients in the group was used to create a probabilistic stimulation map (PSM). Tremor reduction was assessed during intra-operative stimulation tests using a wrist-worn acceleration sensor. These scores were combined with patient-specific electric field (EF) simulations into a 4D volume. The latter was first summarized into a weighted mean map (average of the improvement weighted by the EF norm). Voxels with low occurrence of fields (10% of max) and number of patients (2 of 6) were excluded. Secondly, the significance of the relationship between tremor reduction and electric field was estimated with Linear mixed models using patient as a random effect. Voxels in the weighted mean map with |p|>0.05 were excluded. A fully automated, reproducible workflow was established to normalize and analyze intra-operative data and allowed to identify regions with significant relationship between electric field and tremor suppression. In the future more patients will be integrated to conduct statistical verification of the identified regions.

International audience; The study describes a method to set up disease specific deep brain stimulation (DBS) atlases based on intra-operative stimulation test data exemplified with data from 6 essential tremor (ET) patients implanted in the ventrointermediate nucleus of the thalamus (Vim).I. INTRODUCTION DBS consists in delivering electric stimulation to the brain structures responsible for movement regulation using multi-contact electrodes in order to control symptoms of movement disorders. To ensure proper placement of the electrode during surgery, awake intra-operative testing of symptoms is common. Normative analysis methods have been applied by other groups [1] to study the mechanisms of action of DBS, but focus on stimulation settings and longterm symptoms and rarely study ET. In comparison, intra-operative tests during awake surgery produce a large amount of exploration data. We present in this paper the group analysis of intra-operative stimulation test data in patients who received DBS for ET.II. METHOD A group specific anatomical template was created based on WAIR (white matter attenuated inversion recovery) and T1 MR (magnetic resonance) images from 19 bilaterally implanted DBS patients (PD:13, ET:6). Deep brain structures manually delineated by the neurosurgeon were projected to and summarized in the template. The distribution of the electric field (EF) was resolved for the ET patients for each position and amplitude evaluated during surgery. In each voxel, tremor improvement and EF norm were used to discriminate voxels with scores significantly above or below average using one-sampled two-sided t-test.III. RESULTS The stimulation atlas describes the efficacy of DBS by combining the probabilistic anatomical template, outlines of deep brain structures and improvement scores. IVoxels associated for improvement above average concentrate in the Posterior subthalamic area (infero-posterior to Vim) extending in the direction of Zi and along the posterior limit of Vim. Voxels significant for improvement below average concentrate in the anterior and posterior limits of the region of interest.IV. DISCUSSION This study underlines the potential of the high quality data collected during surgery for the analysis of the mechanisms of action of DBS in tremor using state-of-the art group-analysis approaches. The low number of patients is compensated by the high number of tests in each patient, allowing to identify significant improvement regions. The next steps are the integration of more patients and investigation in different statistics approaches to capture and quantify reliability of the results.

International audience

This article proposes a General Data Protection Regulation (GDPR)-compliant Internet of Things (IoT) Recommender (IoTRec) system, developed in the framework of H2020 EU-KR WISE-IoT (Worldwide Interoperability for Semantic IoT) project, which provides the recommendations of parking spots and routes while protecting users´ privacy. It provides recommendations by exploiting the IoT technology (parking and traffic sensors). The IoTRec provides four-fold functions. First, it helps the user to find a free parking spot based on different metrics (such as the nearest or nearest trusted parking spot). Second, it recommends a route (the least crowded or the shortest route) leading to the recommended parking spot from the user´s current location. Third, it provides the real-time provision of expected availability of parking areas (comprised of parking spots organized into groups) in a user-friendly manner. Finally, it provides a GDPR-compliant implementation for operating in a privacy-aware environment. The IoTRec is integrated into the smart parking use case of the WISE-IoT project and is evaluated by the citizens of Santander, Spain through a prototype, but it can be applied to any IoT-enabled locality. The evaluation results show the citizens satisfaction with the quality, functionalities, ease of use and reliability of the recommendations/services offered by the IoTRec. This research was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723156. This research was partially funded by the Spanish Government (MINECO) under Grant Agreement No. RTI2018-093475-AI00, project FIERCE (Future Internet Enabled Resilient smart CitiEs)

International audience; Electrical stimulation of the deep parts of the brain is the standard answer for patients subject to drug-refractory movement disorders. Collective analysis of data collected during surgeries are crucial in order to provide more systematic planning assistance and understanding the physiological mechanisms of action. To that end, the process of normalizing anatomies captured with Magnetic Resonance imaging across patients is a key component. In this work, we present the optimization of a workflow designed to create group-specific anatomical templates: a group template is refined iteratively using the results of successive non-linear image registrations with refinement steps in the in the basal-ganglia area. All non-linear registrations were executed using the Advanced Normalization Tools (ANTs) and the quality of the nor-malization was measured using spacial overlap of anatomical structures manually delineated during the planning of the surgery. The parameters of the workflow evaluated were: the use of multiple modalities sequentially or together during each registration to the template, the number of iterations in the template creation and the fine settings of the non-linear registration tool. Using the T1 and white matter attenuated inverse recovery modalities (WAIR) together produced the best results, especially in the center of the brain. The optimal numbers of iterations of the template creation were higher than those from the literature and our previous works. Finally, the setting of the non-linear registration tool that improved results the most was the activation of the registration with the native voxel sizes of images, as opposed to down-sampled version of the images. The normalization process was optimized over our previous study and allowed to obtain the best possible anatomical nor-malization of this specific group of patient. It will be used to summarize and analyze peri-operative measurements during test stimulation. The aim is that the conclusions obtained from this analysis will be useful for assistance during the planning of new surgeries.

International audience

Highlights: • Non-linear iterative structural normalization method focused on the deep brain. • Multi-modality image data from deep brain stimulation patients. • Comparison of ANTS, FNIRT and DRAMMS for the non-linear registrations using different settings for each. • Evaluation of the registration tools based on the analysis of 58 structures of the deep brain segmented manually by a single expert. • ANTS was identified as the best performing non-linear registration tool., Deep brain stimulation (DBS) therapy requires extensive patient-specific planning prior to implantation to achieve optimal clinical outcomes. Collective analysis of patient’s brain images is promising in order to provide more systematic planning assistance. In this paper the design of a normalization pipeline using a group specific multi-modality iterative template creation process is presented. The focus was to compare the performance of a selection of freely available registration tools and select the best combination. The workflow was applied on 19 DBS patients with T1 and WAIR modality images available. Non-linear registrations were computed with ANTS, FNIRT and DRAMMS, using several settings from the literature. Registration accuracy was measured using single-expert labels of thalamic and subthalamic structures and their agreement across the group. The best performance was provided by ANTS using the High Variance settings published elsewhere. Neither FNIRT nor DRAMMS reached the level of performance of ANTS. The resulting normalized definition of anatomical structures were used to propose an atlas of the diencephalon region defining 58 structures using data from 19 patients.

Part 7: Personalization and Recommender Systems; International audience; During cooperative interaction, participants introduce materials, artefacts, and other individuals into the ongoing interaction. Depending on how this introduction unfolds, the participants may embrace the new element in an easy way or not. If the new element is a collaborative application of interactive software designed to support the interaction, it may or may not improve the collaboration because of how it was introduced. Therefore, understanding and designing the initial interaction is key for unleashing the positive impact of collaborative systems. The literature has identified the fact that humans employ a specific range of behaviors when introducing an element into an ongoing interaction. Those introduction rituals are determined by whether the new element is a human or a material artefact. Introduction rituals involving interactive elements are still underexplored: How do participants introduce and initiate interaction with them? This manuscript explores the introduction behaviors emerging when an augmented-reality collaborative application is being introduced into a financial advisory service. It shows that the participants employ a wider range of introduction rituals during the introduction of this application than they do when they introduce a brochure. Notably, many of the observed behaviors resemble familiar opening rituals typically used when introducing and greeting humans. This supports the computers-are-social-actors argument and provides evidence that introducing a collaborative application has a social rather than a material character.

International audience; Deep brain stimulation (DBS) is used for symptomatic treatment of movement disorders. In many centers, the optimal DBS position is identified by intra-operative stimulation tests, which are performed at several positions along the planned trajectories toward the target structure with various stimulation amplitudes. The aim of the study was to propose a methodology summarizing all available intra-operative data of different patients to an atlas to provide targeting guidelines in the thalamus.

Deep brain stimulation (DBS), an effective surgical treatment for Essential Tremor (ET), requires test stimulations in the thalamus to find the optimum site for permanent electrode implantation. During these test stimulations, the changes in tremor are only visually evaluated. This, along with other parameters, increases the subjectivity when comparing the efficacy of different thalamic nuclei. We developed a method to quantitatively evaluate tremor during the test stimulations of DBS surgery and applied to 6 ET patients undergoing this treatment. From the quantitative data collected, we identified effective stimulation amplitudes for every test stimulation position and compared it with the ones identified visually during the surgery. We also classified the data based on the thalamic nuclei in which the center of the stimulating contact was present during test stimulations. Results indicate that, to achieve the same reduction in tremor, on average, the stimulation amplitude identified by our method was 0.6 mA lower than those identified by visual evaluation. The comparison of the different thalamic nuclei showed that stimulations in the Ventro-oral and the Intermediolateral nuclei of the thalamus result in higher reduction in tremor for similar stimulation amplitudes as the frequently targeted Ventrointermediate nucleus. We conclude that our quantitative tremor evaluation method is more sensitive than the widely used visual evaluation. Using such quantitative methods will aid in identifying the optimum target structure for patients undergoing DBS.

International audience; Introduction:DBS is a routinely performed surgical procedure for treatment of movement disorders like Essential Tremor (ET). However, the target selection in DBS is not fully optimized. Incomplete knowledge of the mechanisms of action being one of the reasons, we believe, suboptimal usage of information during surgery is another. We have previously demonstrated the use acceleration sensors to quantify changes in patient tremor during deep brain stimulation surgery. In this paper, we would like to analyze the correlation of the acceleration data results with the different deep brain structures. We present in this paper the result from 5 ET patients implanted in the VIM. Methods: A 3 axis acceleration sensor was used to record and quantify changes in the patient's tremor while test stimulations were performed during DBS surgery using the method described previously. During surgery, for every test stimulation position, the maximum change in patient's tremor and the stimulation amplitude at which it was observed subjectively were noted. As the acceleration data was continuously recorded, it was possible, from offline analysis, to find stimulation amplitudes for changes in statistical features equal to those found subjectively. Additionally, the stimulation amplitudes at which acceleration data suggested maximum change in tremor were also identified for every test stimulation position. For the anatomical analysis, the surgical team carefully identified the anatomical location of the electrode and attributed one thalamic sub-structure to it. Based on this information, the change in tremor and its corresponding stimulation amplitude were grouped into respective sub-structures. For the identification of most effective anatomical sub-structures, we checked for higher reduction in tremor at lower amplitude, both for subjective evaluations and acceleration data analysis. This method was applied to acceleration data collected from 5 Essential tremor patients under a clinical study in University Hospital in Clermont-Ferrand France. A total of 107 test stimulations were analyzed. The different sub-structures of the thalamus have been named according to the previously published nomenclature. Results: The 107 different test stimulation positions were found to be distributed in different parts of the thalamus: Intermedio-Lateral (InL, n=20), Ventro-Oral (VO, n=16), VIM (n=37), Ventro-Caudal-Lateral (VCL, n=2), Central-Medial (CM, n=3), Ventro-Caudal-Medial (VCM, n=23) and the PreLemniscal Radiations (PLR n=6). As the number of test stimulations in the VCL, CM and PLR is low, the significance of the results is very low.For the other structures, the effective stimulation amplitudes for the same clinical effect were lower for acceleration data than the subjective ones (p75%) was on average lower in the VO (1.8 mA) and in VCM (1.9 mA) as compared to the VIM (2.5 mA) and in InL (2.5 mA). Conclusion:The use of sensitive acceleration measurements during the surgery introduces a new approach to analyze the effectiveness of stimulation in different target structures. Our results suggest that the VCM is a better target than the VIM. This information should be considered during the planning of the exploration paths to have more contacts in the effective thalamic area. However, the current analysis does not take into considerations stimulation induced side effects. Those influence the final implant position significantly and can alter our conclusion. Also, attributing one stimulation position to just one structure considering it as a point is suboptimal. A better approach would be to simulate the stimulated volume by using electric field simulations. Along with additional analysis of the results with reference to the known mechanisms of actions of DBS they may result in increasing our understanding of DBS efficiency.

Introduction Deep brain stimulation (DBS) is a common neurosurgical procedure for relieving movement related disorders such as Parkinson’s disease. DBS extends uncertainties associated with suboptimal target selection. Our aim was to evaluate the feasibility to objectively assess clinical effects obtained during intraoperative test stimulation based on acceleration measurements of the neurologist’s wrist. Methods One patient referred for bilateral DBS-implantation for the treatment of Parkinson’s disease was included in the study. A 3-axis accelerometer was fixed on the neurologist's wrist during intraoperative test stimulation. While the intensity of electric current used for stimulation was increased , the neurologist continuously moved the patient's wrist to determine the moment of and the amplitude at rigidity release ("stimulation threshold"). For each test stimulation position, differrent mathematical features were determined and statistically compared a) for the time period before re aching the stimulation threshold that had been identified by the neurologist and b) after reaching the threshold. We then visually identified the stimulation thresholds that would have been chosen based on the acceleration signal alone and compared them to the ones subjectively identified by the neurologist. Results A statistical significant change in rigidity (p

International audience; Introduction:Deep brain stimulation (DBS) is a common neurosurgical procedure for relieving movement related disorders such as Parkinson’s disease. DBS presents uncertainties associated with suboptimal target selection, partially due to incomplete knowledge of the optimal stimulation site in the brain and suboptimal exploitation of the intra-operatively obtained patient data in general. Our aim was to evaluate the feasibility to objectively assess clinical effects obtained during intraoperative test stimulation based on acceleration measurements.Methods:Two patients referred for bilateral DBS-implantation for the treatment of Parkinson’s disease were included in the study. For one patient, rigidity was evaluated by fixing a 3-axis accelerometer on the neurologist’s wrist during intraoperative test stimulation. While the intensity of stimulation current was increased, the neurologist continuously moved the patient’s wrist to determine the moment of and the amplitude at rigidity release (“stimulation threshold”). For the other patient, tremor was evaluated by fixing the accelerometer on the patient’s wrist during stimulation. In this case, the neurologist evaluated the stimulation threshold based on visual examination of variation in tremor. In both cases, for each test stimulation position, different mathematical features were determined and statistically compared a) for the time period before reaching the stimulation threshold identified by the neurologist and b) after reaching the threshold. We then statistically identified the stimulation thresholds that would have been chosen based on the acceleration signal alone and compared them to the ones subjectively identified by the neurologist.Results:A statistical significant change in rigidity (p

Ethical approval: The research related to human use complies with all the relevant national regulations, institutional policies and was performed in accordance with the tenets of the Helsinki Declaration and has been approved by the authors’ institutional review board or equivalent committee.; International audience; Deep brain stimulation is widely used to alleviate symptoms of movement disorders. During intraoperative stimulation the influence of active or passive movements on the neuronal activity is often evaluated but the evaluation remains mostly subjective. The objective of this paper is to investigate the potential of a previously developed Weightedfrequency Fourier Linear combiner and Kalman filter-based algorithm to identify tremor types and to isolate the tremorous part. The method is applied to ten intraoperatively acquired accelerometer recordings from eight patients from which 186 phases were manually annotated into: rest, postural and kinetic phase without tremor, and rest, postural and kinetic phase with tremor. The overall accuracy for tremorous phases only is 89.1% and 76.3% when also non-tremorous phases are considered. Two main misclassification cases are identified and further discussed. The results demonstrate the potential of the developed algorithm for the use as an online tremorous movement classifier based on the acquired digital biomarkers.

International audience; Introduction: Magnetic interaction of portable electronic devices (PEDs), such as state-of-the art mobile phones, with cardiovascular implantable electronic devices (CIEDs) has been reported. The aim of the study was to quantify the magnetic fields of latest generation smartwatches and other PEDs and to evaluate and predict their risk of CIED interactions. Methods: High resolution magnetic field characterization of five smartwatches (Apple Watch 6/7, Fitbit Sense, Samsung Galaxy 3, Withings Scanwatch) was performed using a novel magnetic field camera. Ex vivo measurements of the minimal safety distance (MSD) at which no mode switch can be observed were performed between 11 PEDs and six representative CIEDs. Results: Maximal 1 mT distances ranged between 10 mm (Withings) and 19 mm (Fitbit and AppleWatch), and 1 mT volumes between 6 cm 3 (Withings) and 19 cm 3 (Fitbit). All these measures were observed only for the back side of the smartwatches. While most smartwatches with measured 1 mT distance < 15 mm posed low ex vivo interaction within a distance of < 10 mm, PEDs such as electronic pens and in-ear-headphones with measured 1 mT distance > 15 mm showed device interaction up to > 15 mm. Linear regression analysis showed a linear relationship of the MSD with 1 mT distance (B coefficient: 0.46; 95 %-CI: 0.25-0.67, p < 0.001). Conclusion: Smartwatches are safer compared to other PEDs such as electronic pens or in-ear headphones with regards to CIED interaction. With a standardized magnetic field camera, the risk assessment of CIED interaction of novel PEDs is feasible.

INTRODUCTION: Deep brain stimulation (DBS) is widely used to alleviate symptoms of movement disorders. During intraoperative stimulation the influence of active or passive movements on the neuronal activity is often evaluated but the evaluation remains mostly subjective. The objective of this paper is to investigate the potential of a previously developed Weighted-frequency Fourier Linear combiner and Kalman filter-based recursive algorithm to identify tremor phases and types. METHODS: Ten accelerometer recordings from eight patients were acquired during DBS from which 186 phases were manually annotated into: rest, postural and kinetic phase without tremor, and rest, postural and kinetic phase with tremor. The method first estimates the instantaneous tremor frequency and then decomposes the motion signal into voluntary and tremorous parts. The tremorous part is used to quantify tremor and the voluntary part to differentiate rest, postural and kinetic phases. RESULTS: Instantaneous tremor frequency and amplitude are successfully tracked online. The overall accuracy for tremorous phases only is 89.1% and 76.3% when also non-tremorous phases are considered. Two main misclassification cases are identified and further discussed. CONCLUSION: The results demonstrate the potential of the developed algorithm as an online tremorous movement classifier. It would benefit from a more advanced tremor detector but nevertheless the obtained digital biomarkers offer an evidence-based analysis and could optimize the efficacy of DBS treatment.

We report a fast-track computationally-driven discovery of new SARS-CoV2 Main Protease (Mpro) inhibitors whose potency range from mM for initial non-covalent ligands to high nM for the final covalent compound (IC50=830 +/- 50 nM). The project extensively relied on high-resolution all-atom molecular dynamics simulations and absolute binding free energy calculations performed using the polarizable AMOEBA force field. The study is complemented by extensive adaptive sampling simulations that are used to rationalize the different ligands binding poses through the explicit reconstruction of the ligand-protein conformation spaces. Machine Learning predictions are also performed to predict selected compound properties. Computations were performed on GPU-accelerated supercomputers and high performance cloud infrastructures to exponentially reduce time-to-solution and were systematically coupled to Nuclear Magnetic Resonance experiments to drive synthesis and in vitro characterization of compounds. Such study highlights the power of in silico strategies that rely on structure-based approaches for drug design and allows to address the protein conformational multiplicity problem. The proposed innovative scaffolds open routes for further optimization of Mpro inhibitors towards low nM affinities.

The value of a statistical life (VSL) is a key parameter in the analysis of government policy. Most policy decisions are made under ambiguity. This paper studies the effect of changes in ambiguity perception on the value of a statistical life (VSL). We propose a definition of increases in ambiguity perception based on Ekern’s (1980) definition of increases in risk. Ambiguity aversion alone is not sufficient to lead to an increase in the VSL when the decision maker perceives more ambiguity. Our results highlight the importance of higher order ambiguity attitudes, particularly ambiguity prudence.

Although oral drug delivery is the preferred administration route and has been used for centuries, modern drug discovery and development pipelines challenge conventional formulation approaches and highlight the insufficient mechanistic understanding of processes critical to oral drug absorption. This review presents the opinion of UNGAP scientists on four key themes across the oral absorption landscape: (1) specific patient populations, (2) regional differences in the gastrointestinal tract, (3) advanced formulations and (4) food-drug interactions. The differences of oral absorption in pediatric and geriatric populations, the specific issues in colonic absorption, the formulation approaches for poorly water-soluble (small molecules) and poorly permeable (peptides, RNA etc.) drugs, as well as the vast realm of food effects, are some of the topics discussed in detail. The identified controversies and gaps in the current understanding of gastrointestinal absorption-related processes are used to create a roadmap for the future of oral drug absorption research.(c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).

This paper presents a tracking system using magnetometers, possibly integrable in a deep brain stimulation (DBS) electrode. DBS is a treatment for movement disorders where the position of the implant is of prime importance. Positioning challenges during the surgery could be addressed thanks to a magnetic tracking. The system proposed in this paper, complementary to existing procedures, has been designed to bridge preoperative clinical imaging with DBS surgery, allowing the surgeon to increase his/her control on the implantation trajectory. Here the magnetic source required for tracking consists of three coils, and is experimentally mapped. This mapping has been performed with an in-house three-dimensional magnetic camera. The system demonstrates how magnetometers integrated directly at the tip of a DBS electrode, might improve treatment by monitoring the position during and after the surgery. The three-dimensional operation without line of sight has been demonstrated using a reference obtained with magnetic resonance imaging (MRI) of a simplified brain model. We observed experimentally a mean absolute error of 1.35 mm and an Euclidean error of 3.07 mm. Several areas of improvement to target errors below 1 mm are also discussed.

International audience; Sediment trapping within reservoirs is a worldwide phenomenon which impairs the ecological functioning of upstream and downstream ecosystems. It also reduces reservoir water storage volume, which lessens the services dams provide such as hydropower production or flood control and questions their sustainability. Hydraulic flushing is a widely used operation to recover the reservoir volume, but ecological impacts are massive. Recently, environmental awareness led dam operators to modify their management practices: 'Controlled Sediment flushing Operations' (CSFOs) include environmental objectives in their implementation and are designed to be less harmful for aquatic ecosystems by controlling the flow and Suspended Sediment Concentration (SSC) downstream. However, CSFOs are not yet widespread, their ecological impacts are poorly documented, and comparisons with 'classical' flushing operations are unreported. Here, we analysed impacts on fish of the first CSFO of the Verbois reservoir in 2016, both upstream and downstream of the dam, and compared these with those from the empty flushing of 2012 using the same methodology (Grimardias et al., 2017). Time-series of hydroacoustics surveys enabled us to estimate the fish abundance in the reservoir, while radiotelemetry measured movements and apparent survival below the dam for four representative species. The 2016 CSFO lasted 10 days, and released a mean Suspended Sediment Concentration (SSC) of 3.47 g . L-1 ( peak = 11.98 g.L-1 ). The fish density as assessed by the mean acoustic scattering strength SA in the reservoir did not change significantly pre- and post-CSFO, and S-A seasonal estimates of year 2016 did not differ from those of 2015 and 2017. The apparent survival estimated from capture-recapture surveyor marked fish (N = 118) decreased significantly during the CSFO for all species and differed across species, while the distances moved downstream increased. By comparison with the 2012 empty flushing, the 2016 CSFO allowed fish to remain in the reservoir, while impacts below the dam were mostly behavioural rather than lethal. Overall, despite significant impacts, the CSFO advantageously replaced 'classical* flushing from an ecological viewpoint. Provided that an acceptable balance between economical, ecological and technical aspects is found, CSFO can be considered for many reservoirs while accounting for their biological and physical site-specificity.

International audience; Understanding the population dynamics of aquatic species and how inter-specific variation in demographic and life history traits influence population dynamics is crucial to define their conservation status and design appropriate protection measures.The abundance and biomass growth rates for 18 common European freshwater fish species were estimated using data spanning 1990-2011 for 546 sites across France. Fish-length trends were assessed using quantile regressions and correlations with life history traits were investigated.Amongst the 18 species, eleven of them have exhibited a significant decline in abundance and 14 species declined in biomass, seven remained stable or exhibited positive abundance growth rates; for four species, biomass was stable or increased. Of the demographic and ecological traits investigated, life-history strategy and maximum length were significantly correlated with species' population growth rates, revealing that the decline mainly concerned large-bodied species with slow life-histories.These results focus on 18 common European species representing 94% of fish captured during the study period within the French national monitoring programme and underline that more attention should be paid to the decline in common species. Population dynamics of widely distributed common species are key drivers of communities and of importance to ecosystem function.This study provides evidence of declines in common European freshwater fish species at a national scale and recommends conservation measures to favour recovery of most declining species. We highlight the crucial value of electrofishing monitoring programmes to assess freshwater fish species population trajectories and to support environmental management and conservation policy based on scientific evidences.

International audience; We, the co‐authors of this letter, are an international group of soil scientists at early career stages, from PhD students to postdoctoral researchers, lecturers, and research fellows with permanent positions. Here, we present our collective musings on soil research challenges and opportunities and, in particular, the points raised by Philippe Baveye (Baveye, 2020a, 2020b) and Johan Bouma (Bouma, 2020) on bypass and hyperbole in soil science. Raising awareness about these issues is a first and necessary step. To this end, we would like to thank Philippe Baveye and Johan Bouma for initiating this debate........

International audience; This paper reports the results of an international benchmark exercise on the measurement of fibre bed compaction behaviour. The aim was to identify aspects of the test method critical to obtain reliable results and to arrive at a recommended test procedure for fibre bed compaction measurements. A glass fibre 2/2 twill weave and a biaxial (±45°) glass fibre non-crimp fabric (NCF) were tested in dry and wet conditions. All participants used the same testing procedure but were allowed to use the testing frame, the fixture and sample geometry of their choice. The results showed a large scatter in the maximum compaction stress between participants at the given target thickness, with coefficients of variation ranging from 38 % to 58 %. Statistical analysis of data indicated that wetting of the specimen significantly affected the scatter in results for the woven fabric, but not for the NCF. This is related to the fibre mobility in the architectures in both fabrics. As isolating the effect of other test parameters on the results was not possible, no statistically significant effect of other test parameters could be proven. The high sensitivity of the recorded compaction pressure near the minimum specimen thickness to changes in specimen thickness suggests that small uncertainties in thickness can result in large variations in the maximum value of the compaction stress. Hence, it is suspected that the thickness measurement technique used may have an effect on the scatter.

Part 5:Enterprise Ontologies; International audience; The goal of this paper is to demonstrate the feasibility of combining visualization and reasoning for business model design by combining the machine-interpretability of ontologies with a further development of the widely accepted business modeling tool, the Business Model Canvas (BMC). Since ontologies are a machine-interpretable representation of enterprise knowledge and thus, not very adequate for human interpretation, we present a tool that combines the graphical and human interpretable representation of BMC with a business model ontology. The tool connects a business model with reusable data and interoperability to other intelligent business information systems so that additional functionalities are made possible, such as a comparison between business models. This research follows the design science strategy with a qualitative approach by applying literature research, expert interviews, and desk research. The developed AOAME4BMC tool consists of the frontend, a graphical web-based representation of an enhanced BMC, a web service for the data exchange with the backend, and a specific ontology for the machine-interpretable representation of a business model. The results suggest that the developed tool AOAME4BMC supports the suitability of an ontology-based representation for business model design.

International audience; AI is currently largely integrated into the production processes of products/services. Its adoption is not in question. While functional and economic benefits are considered, the impact on employees is not discussed. In 2018, we conducted 62 semi-directive interviews with employees working in French-speaking Switzerland. Our respondents are optimistic and do not fear that their expertise will be replaced by even intelligent robots. The negative impacts could therefore generate cognitive dissonance that could lead to human risks. It is disturbing to note that the implementation of AI and other digitisation technologies is managed as if it were a computer upgrade. When this does not work, the employees involved must take charge of the problems and their resolution, without being prepared or having the necessary resources.; L’IA est actuellement largement intégrée dans les processus de production des produits/services. Son adoption n’est pas mise en cause. Si ses avantages fonctionnels et économiques sont pris en compte, son impact sur les employés ne l’est pas. En 2018, nous avons réalisé 62 entretiens semi-directifs avec des salariés travaillant en Suisse romande. Nos répondants sont optimistes et ne craignent pas de voir leur expertise remplacée par des robots intelligents. Les impacts négatifs pourraient donc générer une dissonance cognitive susceptible de conduire à des risques humains. Il est inquiétant de noter que la mise en œuvre de l’IA et d'autres technologies de numérisation est gérée comme s’il s’agissait d’une mise à niveau informatique. Lorsque cela ne fonctionne pas, les employés impliqués doivent prendre en charge les problèmes, sans y être préparés ni disposer des ressources nécessaires.

This manuscript identifies and documents unsolved problems and research challenges in the extended reality (XR) domain (i.e., virtual (VR), augmented (AR), and mixed reality (MR)). The manuscript is structured to include technology, design, and human factor perspectives. The text is visualization/display-focused, that is, other modalities such as audio, haptic, smell, and touch, while important for XR, are beyond the scope of this paper. We further narrow our focus to mainly geospatial research, with necessary deviations to other domains where these technologies are widely researched. The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences. Aside from the research challenges identified based on a comprehensive literature review, we provide case studies with original results from our own studies in each section as examples to demonstrate the relevance of the challenges in the current research. We believe that this paper will be of relevance to anyone who has scientific interest in extended reality, and/or uses these systems in their research.

International audience; This paper investigates the modal analysis of wind instruments as seen from the input of their air column. Beside the treatment of analytical models, a particular emphasis is given to the analysis of measured input impedances. This requires special care because the measurements cover only a limited frequency band and are affected by some unknown errors. This paper describes how the Prony analysis and the Least Squares Complex Exponential (LSCE) classical techniques can be used in this context and how the main pitfalls can be avoided in their application. A physically acceptable method of reconstruction of the low frequency band is proposed. A technique using fictitious points in the high frequency range is described in order to ensure the passivity of the resonator in the whole frequency band. The principles of a real-time synthesis of clarinet sounds based on the modal representation of the resonator is given as an application, with a method to efficiently handle the modal representation during the transition between fingerings.

International audience; The sooting propensity of dual-fuel combustion with n-dodecane pilot injection in a lean-premixed methane-air charge has been investigated using an optically accessible Rapid Compression-Expansion Machine to achieve engine relevant pressure and temperature conditions at start of pilot injection. A Diesel injector with a 100 µm single-hole coaxial nozzle, mounted at the cylinder periphery, has been employed to admit the pilot fuel. The aim of this study was to enhance the fundamental understanding of soot formation and oxidation processes of n-dodecane in presence of methane in the air charge by parametric variation of methane equivalence ratio, charge temperature and pilot fuel injection duration. The influence of methane on ignition delay and flame extent of the pilot fuel jet has been determined by simultaneous OH* chemiluminescence and Schlieren imaging. The sooting behavior of the flame has been characterized using the 2D-DBI imaging methodology. The apparent soot black-body temperature has been measured 1D-resolved along the injector axis by applying an imaging spectrograph. Addition of methane into the air charge considerably prolongs the ignition delay with an increasing effect under less reactive conditions and with higher methane equivalence ratios. Therefore, the influence of methane on the formation of soot is twofold: in case of short pilot injection, the presence of methane was found to decrease the soot formation due to the leaner pilot fuel mixture at time of ignition. For longer pilot fuel injections, methane enhances the soot production by decreasing oxygen availability and introducing additional carbon. In all cases, methane strongly defers the oxidation of soot due to the lower availability of oxygen.

International audience; This study deals with seven Latin conductus transmitted in thirteenth-century sources, among others in the Codex Buranus (D-Mbs Clm. 4660) and in the manuscript F (I-Fl Plut. 29.1). It aims to take a closer look at these pieces, which are written down either in monophonic form and adiastemic neumes, either in monophonic or polyphonic form and square notation. Melodic comparisons highlight some variants, suggesting a plurality of traditions within the repertoire of the conductus and questioning the common idea that the pieces copied in the Codex Buranus are monophonic "reductions" of polyphonic compositions transmitted by the sources of Notre Dame. Like other genres of the Latin or vernacular poetry, conductus are subject to textual and melodic mouvance. Is it due to a corrupted or impoverished tradition? Or is it the result of a conscious reworking, adapting, or even recomposing process? In light of this study, it seems necessary to reconsider the tradition of the Latin conductus, confronting the manuscripts usually associated with Notre Dame to a wider range of other sources.; Cette étude porte sur sept conduits latins transmis dans plusieurs sources du XIIIe siècle, parmi lesquelles le Codex Buranus (D-Mbs Clm. 4660) et le manuscrit F (I-Fl Plut. 29.1). Il s’agit d’observer de plus près ces pièces transcrites soit sous forme monodique et en neumes adiastématiques, soit sous forme monodique ou polyphonique et en notation carrée. La comparaison des mélodies permet d’identifier un certain nombre de variantes. Celles-ci suggèrent l’existence de traditions plurielles au sein du répertoire du conduit latin. Elles invitent en outre à remettre en question une opinion courante, selon laquelle les conduits copiés dans le Codex Buranus seraient des « réductions » monodiques de compositions polyphoniques transmises par les sources de Notre-Dame. À l’instar d’autres genres appartenant à la lyrique latine ou vernaculaire, le conduit est sujet à la mouvance textuelle et mélodique. Faut-il y voir le résultat d’une corruption ou d’un appauvrissement de la tradition, ou plutôt le fruit de remaniements, d’adaptations, voire de recompositions délibérées ? Il paraît nécessaire de reconsidérer la question de la tradition des conduits latins en s’appuyant sur un éventail de sources plus large, qui ne se limite pas aux manuscrits habituellement associés à Notre-Dame.

International audience; Dirigé par Bertrand Maréchal (professeur en design de mode à la HEAD – Genève), cet ouvrage collectif élabore, à partir d’entretiens, un lexique relatif à l’enseignement du design de mode dans le contexte des hautes écoles spécialisées (HES) suisses et des écoles d’art et de design européennes. En apportant des ancrages conceptuels à la portée des étudiant·e·s, il s’agit ainsi de contribuer à la clarification du vocabulaire de mise en œuvre du processus créatif.

Deep brain stimulation (DBS) is an established therapy for movement disorders such as essential tremor (ET). Positioning of the DBS lead in the patients brain is crucial for effective treatment. Extensive evaluations of improvement and adverse effects of stimulation at different positions for various current amplitudes are performed intraoperatively. However, to choose the optimal position of the lead, the information has to be "mentally" visualized and analyzed. This paper introduces a new technique called "stimulation maps," which summarizes and visualizes the high amount of relevant data with the aim to assist in identifying the optimal DBS lead position. It combines three methods: outlines of the relevant anatomical structures, quantitative symptom evaluation, and patient-specific electric field simulations. Through this combination, each voxel in the stimulation region is assigned one value of symptom improvement, resulting in the division of stimulation region into areas with different improvement levels. This technique was applied retrospectively to five ET patients in the University Hospital in Clermont-Ferrand, France. Apart from identifying the optimal implant position, the resultant nine maps show that the highest improvement region is frequently in the posterior subthalamic area. The results demonstrate the utility of the stimulation maps in identifying the optimal implant position. Graphical abstract Funding Agencies|Swiss National Science FoundationSwiss National Science Foundation (SNSF) [CR3212_153370]; Germaine de Stael program of the Swiss Academy of Engineering Sciences; French Ministry of Health [2011-A00774-37]; Swedish Research CouncilSwedish Research Council [2016-03564]; Swedish Foundation for Strategic ResearchSwedish Foundation for Strategic Research [BD15-0032]

Optimization methods for Energy Management Strategy (EMS) are more and more used to minimize the fuel consumption of Hybrid Electric Vehicles (HEV). For off-line techniques, such as dynamic programming, from a given driving cycle, an algorithm is defined to determine the optimal power flows of the vehicle. Most of the time, the optimization is achieved by not considering the resistive force due to the road slope, which can be very high in certain roads depending on the mass of the vehicle. This paper aims to quantify the accurate fuel consumption economy when the road slope is integrated or not in the EMS optimization problem of a parallel HEV using dynamic programming.

In this chapter, we review and summarize the current state of the art in geovisualization and extended reality (i.e., virtual, augmented and mixed reality), covering a wide range of approaches to these subjects in domains that are related to geographic information science. We introduce the relationship between geovisualization, extended reality and Digital Earth, provide some fundamental definitions of related terms, and discuss the introduced topics from a human-centric perspective. We describe related research areas including geovisual analytics and movement visualization, both of which have attracted wide interest from multidisciplinary communities in recent years. The last few sections describe the current progress in the use of immersive technologies and introduce the spectrum of terminology on virtual, augmented and mixed reality, as well as proposed research concepts in geographic information science and beyond. We finish with an overview of “dashboards”, which are used in visual analytics as well as in various immersive technologies. We believe the chapter covers important aspects of visualizing and interacting with current and future Digital Earth applications.

International audience; The pilot-fuel auto-ignition and combustion in compressed methane/air mixtures are investigated. Experiments were performed in an optically accessible rapid compression-expansion machine featuring quiescent charge conditions and a single-hole coaxial diesel injector mounted on the cylinder periphery. It enabled thermodynamic analysis of the pilot-fuel combustion without these phenomena being masked by the rapid premixed-flame propagation like in the engine test rigs with turbulent charge. The aim of this study is to elucidate the first-order influences of charge and pilot-fuel parameters on the ignition delay and transition into the premixed flame propagation. For this purpose, a comprehensive measurement matrix including variations of the premixed fuel equivalence ratio, charge temperature, and oxygen content as well as the variation of pilot injection duration is tested. The heat release rate (HRR) metrics describing the pilot-fuel combustion duration, peak HRR, and cumulative HRR during the pilot-fuel combustion are derived. Correlations of the HRR metrics to the ignition delay, pilot-fuel mixing state at ignition and the volume of the pilot-fuel jet are investigated. Methane is found to increase the ignition delay and prolong the pilot-fuel combustion duration. This effect is amplified for pilot-injection strategies with leaner pilot-fuel mixtures at ignition or in the case of reduced charge oxygen content. Despite the reduced pilot-fuel reactivity the co-combustion of entrained methane leads to higher peak-HRR, except in the reduced charge oxygen cases, where the excessively reduced mixture reactivity with the introduction of methane leads even to a reduced peak-HRR.The phenomenology of the dual-fuel combustion process is described in Part 1, whereas Part 2 of this work aims at improving the understanding of the underlying processes by application of advanced optical diagnostic methods.

International audience; We investigated how the size of the horizontal field of view (FoV) affects visual speed perception with individuals running on a treadmill. Twelve moderately trained to trained participants ran on a treadmill at two different speeds (8 and 12km/h) in front of a moving virtual scene. Different masks were used to manipulate the visible visual field, masking either the central or the peripheral area of the virtual scene or showing the full visual field. We asked participants to match the visual speed of the scene to their actual running speed. For each trial, participants indicated whether the scene was moving faster or slower than they were running. Visual speed was adjusted according to the responses using a staircase method until the Point of Subjective Equality was reached, that is until visual and running speed were perceived as matching. For both speeds and all FoV conditions, participants underestimated visual speed relative to the actual running speed. However, this underestimation was significant only when the peripheral FoV was masked. These results confirm that the size of the field of view should absolutely be taken into account for the design of treadmill-mediated virtual environments.

International audience; The purpose of this study was to develop micron-sized droplet emulsions able to increase the heat deposition of high intensity focused ultrasound (HIFU), aiming to accelerate the tumour ablation in highly perfused organs with reduced side effects. The investigated droplets consisted of a perfluorooctyl bromide (PFOB) core coated with a biocompatible fluorinated surfactant called F-TAC. The novelty of this work relies on the use, for this application, of a high boiling point perfluorocarbon core (142 °C), combined with an in-house fluorinated surfactant to formulate the emulsion, yielding quasi-reversible strong interactions between the HIFU beam and the droplets. In order to fine-tune the emulsion size, surfactants with different hydrophobic/hydrophilic ratios were screened. Different concentrations of PFOB droplets were homogeneously embedded in two different MRI compatible materials, exhibiting either ultrasound (US) absorbing or non-absorbing properties. For the US absorbing TMM, the speed of sound at each droplet concentration was also assessed. These TMM were sonicated by 1 MHz HIFU with acoustical power of 94 W at two different duty cycles. The temperature elevation was monitored accurately by MRI proton shift resonance frequency in near real-time. The presence of sono-sensitive droplets induced a significant increase of the HIFU thermal effect that persisted under repeated sonication of the same locus. Optimal enhancement was observed at the lowest concentration tested (0.1%) with an additional temperature rise at the focal point of approximately 4 °C per applied kJ of acoustic energy corresponding to one order of magnitude augmentation of the thermal dose. Furthermore, no deformation of the heating pattern pre- or post-focal was observed.

International audience; Open Innovation is a field of research widely explored and many technologies are developed to support the involvement of users, or other external stakeholders of a company, in its distributed co-creation process, i.e. when actors work asynchronously and at geographical distance. One of the fundamental parameters to the success of distributed collaborative approaches is the trust that the actors have in each other, in the current process and in technology. However, practitioners make little use of trust as a parameter for piloting and supporting co-creation project deployment. The lack of understanding of the mechanisms involved seems to explain this situation. Using the analysis of two case studies of co-creation in the field of energy, this paper proposes to identify the levers, notably technological ones, favoring the confidence between stakeholders and by extension the agility of the process. In addition to practical lighting, this paper provides a first co-creation project management framework for practitioners, through the design of the "co-con" model.; L’Innovation Ouverte est un champ de recherche largement exploré et de nombreux dispositifs technologiques sont développés pour soutenir l’implication des usagers, ou autres acteurs extérieurs d’une entreprise, dans son processus de co-création distribuée, i.e. lorsque les acteurs travaillent de manière asynchrone et à distance géographique. Un des paramètres fondamentaux au succès de démarches collaboratives distribuées est la confiance que les acteurs s’accordent entre eux, dans le processus en cours et aux technologies auxquels ils sont confrontés. La notion de confiance reste néanmoins encore peu utilisée comme paramètre de pilotage et de soutien au déploiement de projet de co-création. Le manque de compréhension des mécanismes en jeu semble expliquer cette situation. A travers l’analyse de deux études de cas de co-création appliquée au domaine de l’énergie, ce papier propose d’identifier les leviers, notamment technologiques, favorisant la confiance entre les parties et par extension l’agilité du processus. En complément d’un éclairage des pratiques, ce papier fournit un premier cadre de pilotage de projet de co-création pour les praticiens à travers la conception du modèle « co-con ».