27,747 results on '"Briand, A."'
Search Results
102. COREQQA -- A COmpliance REQuirements Understanding using Question Answering Tool
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Abualhaija, Sallam, Arora, Chetan, and Briand, Lionel
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Computer Science - Software Engineering - Abstract
We introduce COREQQA, a tool for assisting requirements engineers in acquiring a better understanding of compliance requirements by means of automated Question Answering. Extracting compliance-related requirements by manually navigating through a legal document is both time-consuming and error-prone. COREQQA enables requirements engineers to pose questions in natural language about a compliance-related topic given some legal document, e.g., asking about data breach. The tool then automatically navigates through the legal document and returns to the requirements engineer a list of text passages containing the possible answers to the input question. For better readability, the tool also highlights the likely answers in these passages. The engineer can then use this output for specifying compliance requirements. COREQQA is developed using advanced large-scale language models from BERT's family. COREQQA has been evaluated on four legal documents. The results of this evaluation are briefly presented in the paper. The tool is publicly available on Zenodo (DOI: 10.5281/zenodo.6653514).
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- 2022
103. A Search-Based Testing Approach for Deep Reinforcement Learning Agents
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Zolfagharian, Amirhossein, Abdellatif, Manel, Briand, Lionel, Bagherzadeh, Mojtaba, and S, Ramesh
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Computer Science - Software Engineering ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning ,D.2.5 ,I.2.0 - Abstract
Deep Reinforcement Learning (DRL) algorithms have been increasingly employed during the last decade to solve various decision-making problems such as autonomous driving and robotics. However, these algorithms have faced great challenges when deployed in safety-critical environments since they often exhibit erroneous behaviors that can lead to potentially critical errors. One way to assess the safety of DRL agents is to test them to detect possible faults leading to critical failures during their execution. This raises the question of how we can efficiently test DRL policies to ensure their correctness and adherence to safety requirements. Most existing works on testing DRL agents use adversarial attacks that perturb states or actions of the agent. However, such attacks often lead to unrealistic states of the environment. Their main goal is to test the robustness of DRL agents rather than testing the compliance of agents' policies with respect to requirements. Due to the huge state space of DRL environments, the high cost of test execution, and the black-box nature of DRL algorithms, the exhaustive testing of DRL agents is impossible. In this paper, we propose a Search-based Testing Approach of Reinforcement Learning Agents (STARLA) to test the policy of a DRL agent by effectively searching for failing executions of the agent within a limited testing budget. We use machine learning models and a dedicated genetic algorithm to narrow the search towards faulty episodes. We apply STARLA on Deep-Q-Learning agents which are widely used as benchmarks and show that it significantly outperforms Random Testing by detecting more faults related to the agent's policy. We also investigate how to extract rules that characterize faulty episodes of the DRL agent using our search results. Such rules can be used to understand the conditions under which the agent fails and thus assess its deployment risks.
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- 2022
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104. Trace Diagnostics for Signal-based Temporal Properties
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Boufaied, Chaima, Menghi, Claudio, Bianculli, Domenico, and Briand, Lionel
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Computer Science - Software Engineering - Abstract
Most of the trace-checking tools only yield a Boolean verdict. However, when a property is violated by a trace, engineers usually inspect the trace to understand the cause of the violation; such manual diagnostic is time-consuming and error-prone. Existing approaches that complement trace-checking tools with diagnostic capabilities either produce low-level explanations that are hardly comprehensible by engineers or do not support complex signal-based temporal properties. In this paper, we propose TD-SB-TemPsy, a trace-diagnostic approach for properties expressed using SB-TemPsy-DSL. Given a property and a trace that violates the property, TD-SB-TemPsy determines the root cause of the property violation. TD-SB-TemPsy relies on the concepts of violation cause, which characterizes one of the behaviors of the system that may lead to a property violation, and diagnoses, which are associated with violation causes and provide additional information to help engineers understand the violation cause. As part of TD-SB-TemPsy, we propose a language-agnostic methodology to define violation causes and diagnoses. In our context, its application resulted in a catalog of 34 violation causes, each associated with one diagnosis, tailored to properties expressed in SB-TemPsy-DSL. We assessed the applicability of TD-SB-TemPsy on two datasets, including one based on a complex industrial case study.The results show that TD-SB-TemPsy could finish within a timeout of 1 min for ~83.66% of the trace-property combinations in the industrial dataset, yielding a diagnosis in ~99.84% of these cases. Moreover, it also yielded a diagnosis for all the trace-property combinations in the other dataset. These results suggest that our tool is applicable and efficient in most cases.
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- 2022
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105. Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems
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Fahmy, Hazem, Pastore, Fabrizio, Briand, Lionel, and Stifter, Thomas
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Computer Science - Software Engineering ,Computer Science - Machine Learning - Abstract
When Deep Neural Networks (DNNs) are used in safety-critical systems, engineers should determine the safety risks associated with failures (i.e., erroneous outputs) observed during testing. For DNNs processing images, engineers visually inspect all failure-inducing images to determine common characteristics among them. Such characteristics correspond to hazard-triggering events (e.g., low illumination) that are essential inputs for safety analysis. Though informative, such activity is expensive and error-prone. To support such safety analysis practices, we propose SEDE, a technique that generates readable descriptions for commonalities in failure-inducing, real-world images and improves the DNN through effective retraining. SEDE leverages the availability of simulators, which are commonly used for cyber-physical systems. It relies on genetic algorithms to drive simulators towards the generation of images that are similar to failure-inducing, real-world images in the test set; it then employs rule learning algorithms to derive expressions that capture commonalities in terms of simulator parameter values. The derived expressions are then used to generate additional images to retrain and improve the DNN. With DNNs performing in-car sensing tasks, SEDE successfully characterized hazard-triggering events leading to a DNN accuracy drop. Also, SEDE enabled retraining leading to significant improvements in DNN accuracy, up to 18 percentage points., Comment: 48 pages, 15 figures, 20 tables
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- 2022
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106. Beliefs about cancer causation in Samoa: Results from an awareness campaign recall survey
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Cuesta-Briand, Beatriz, Sofija, Ernesta, Burich, Shelley, and Harris, Neil
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- 2021
107. Differentiation of Isomeric TAT1-CARNOSINE Peptides by Energy-Resolved Mass Spectrometry and Principal Component Analysis
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Alicia Maroto, Olivier Briand, Alessia Distefano, Filiz Arioz, Olivier Monasson, Elisa Peroni, Giuseppe Grasso, Christine Enjalbal, and Antony Memboeuf
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isomeric peptides ,carnosine ,TAT1 ,high-resolution mass spectrometry ,Principal Component Analysis ,MS/MS ,Organic chemistry ,QD241-441 - Abstract
L-carnosine (Car) is an endogenous dipeptide with significant potential in drug discovery for neurodegenerative diseases, while TAT1, a small arginine-rich peptide derived from the HIV-1 trans-activator protein (TAT), is known to stimulate proteasome activity. In this study, three isomeric peptides were synthesised by incorporating the Car moiety at the N-terminus, C-terminus, or central position of the TAT1 sequence. To differentiate these isomers, high-resolution and energy-resolved CID MS/MS experiments were conducted. The resulting MS/MS spectra showed a high degree of similarity among the peptides, predominantly characterised by fragment ion peaks arising from arginine-specific neutral losses. Energetic analysis was similarly inconclusive in resolving the isomers. However, Principal Component Analysis (PCA) enabled clear differentiation of the three peptides by considering the entire MS/MS spectra rather than focusing solely on precursor ion intensities or major fragment peaks. PCA loadings revealed distinct fragment ions for each peptide, albeit with lower intensities, providing insights into consecutive fragmentation patterns. Some of these specific peaks could also be attributed to scrambling during fragmentation. These results demonstrate the potential of PCA as a simple chemometric tool for semi-automated peak identification in complex MS/MS spectra.
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- 2025
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108. Sensory Evaluation of Effervescent Nutritional Supplements: Identification and Characterisation of Off-Tastes
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Thomas Delompré, Christophe Martin, Loïc Briand, and Christian Salles
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sensory analysis ,nutritional supplement ,perception ,flavour ,cross-modal perceptual interaction ,Organic chemistry ,QD241-441 - Abstract
Nutritional supplements are often characterised by unpleasant tastes or aftertastes, primarily due to the presence of vitamins, minerals, and amino acids as active compounds. These taste defects can be masked by sweeteners or specific flavourings. However, the development of such strategies requires a thorough understanding of the sensory characteristics of nutritional supplements. In the present study, the sensory properties of four effervescent nutritional supplements, differing in composition, were evaluated using Quantitative Descriptive Analysis (QDA) across three modalities: orthonasal and retronasal odour perception, as well as aftertaste and aroma persistence. Bitterness, astringency, and metallic sensations were found to be responsible for the negative sensory attributes of the products in solution. The addition of flavouring agents was found to have either a positive or negative effect on the taste characteristics of the supplements. Indeed, certain fruity notes enhanced sweet and sour sensations and were found to mask negative sensory perceptions, although this effect varied depending both on the nature of the nutritional supplement and on the QDA modalities, mainly due to the oral process progressing. A better understanding of these perceptual interactions could provide a solution for masking strategies, potentially reducing the use of additives that can be expensive and detrimental to health.
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- 2025
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109. Optimizing Neurobehavioral Assessment for Patients with Disorders of Consciousness: Proposal of a Comprehensive Pre-Assessment Checklist for Clinicians
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Kristen Keech, Caroline Schnakers, Brooke Murtaugh, Katherine O’Brien, Beth Slomine, Marie-Michèle Briand, Rita Formisano, Aurore Thibaut, Anna Estraneo, Enrique Noé, Olivia Gosseries, and Liliana da Conceição Teixeira
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assessment ,disorders of consciousness ,brain injury ,survey ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background: Clinicians are challenged by the ambiguity and uncertainty in assessing level of consciousness in individuals with disorder of consciousness (DoC). There are numerous challenges to valid and reliable neurobehavioral assessment and classification of DoC due to multiple environmental and patient-related biases including behavioral fluctuation and confounding or co-occurring medical conditions. Addressing these biases could impact accuracy of assessment and is an important aspect of the DoC assessment process. Methods: A pre-assessment checklist was developed by a group of interdisciplinary DoC clinical experts and researchers based on the existing literature, current validated tools, and expert opinions. Once finalized, the checklist was electronically distributed to clinicians with a range of experience in neurobehavioral assessment with DoC. Respondents were asked to use the checklist prior to completing a neurobehavioral assessment. A survey was also provided to respondents to obtain feedback regarding checklist feasibility and utility in optimizing the behavioral assessments. Results: Thirty-three clinicians completed the survey after using the checklist. Over half of the respondents were a combination of physicians, neuropsychologists, and physical therapists. All respondents served the adult DoC population and 42% percent had over ten years of clinical experience. Eighty percent reported they found the format of the checklist useful and easy to use. All respondents reported the checklist was relevant to preparing for behavioral assessment in the DoC population. Eighty-four percent reported they would recommend the use of the tool to other clinicians. Conclusions: The use of a pre-assessment checklist was found to be feasible and efficacious in increasing interdisciplinary clinician’s ability to optimize the patient and environment in preparation for neurobehavioral assessment. Initial results of clinicians’ perception of the utility of a pre-assessment checklist were positive. However, further validation of the tool is needed with larger sample sizes to improve representation of clinical use across disciplines and care settings.
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- 2025
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110. 'Soft power' is a better weapon than military might on the global stage: Sen. Jeanne Shaheen and Enoh Ebong, director of the U.S. Trade and Development Agency, discuss world trade and other issues at Durham forum
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Briand, Paul
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United States. Trade and Development Agency ,Administrative agencies ,International trade ,Economic development ,International trade ,Business ,Business, regional - Abstract
Military power is most often seen as the regulator of world stability. But soft power, one that uses economic development, can be a better influencer of global behavior, according to [...]
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- 2024
111. Novocure opens new U.S. headquarters in Portsmouth: The company's cancer treatment technology is helping to grow NH's Life sciences industry
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Briand, Paul
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Biotechnology industry -- Buildings and facilities -- Product information -- Rites, ceremonies and celebrations ,Cancer -- Care and treatment ,Special events ,Business ,Business, regional - Abstract
Novocure's new U.S. headquarters opened in Portsmouth on Sept. 3 with fanfare that included high praise from an assortment of New Hampshire's elected officials, as well as optimism that its [...]
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- 2024
112. Office vacancies rise. Can housing fill the void? Commercial-to-housing proposals offer a possible solution for much-need housing, but a larger conflict rears its ugly head: zoning
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Briand, Paul
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Dwellings -- Forecasts and trends ,Housing -- Forecasts and trends ,Office buildings -- Forecasts and trends -- Remodeling and renovation -- New Hampshire ,Zoning law -- Forecasts and trends ,Market trend/market analysis ,Business ,Business, regional - Abstract
Office space vacancy in New Hampshire has been on the increase for the last several years. At the end of the second quarter in June, the vacancy rate stood at [...]
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- 2024
113. MOTIF: A tool for Mutation Testing with Fuzzing.
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Jaekwon Lee, Enrico Viganò, Fabrizio Pastore, and Lionel C. Briand
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- 2024
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114. A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms
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Belgacem, Hichem, Li, Xiaochen, Bianculli, Domenico, and Briand, Lionel C.
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Computer Science - Software Engineering - Abstract
Users frequently interact with software systems through data entry forms. However, form filling is time-consuming and error-prone. Although several techniques have been proposed to auto-complete or pre-fill fields in the forms, they provide limited support to help users fill categorical fields, i.e., fields that require users to choose the right value among a large set of options. In this paper, we propose LAFF, a learning-based automated approach for filling categorical fields in data entry forms. LAFF first builds Bayesian Network models by learning field dependencies from a set of historical input instances, representing the values of the fields that have been filled in the past. To improve its learning ability, LAFF uses local modeling to effectively mine the local dependencies of fields in a cluster of input instances. During the form filling phase, LAFF uses such models to predict possible values of a target field, based on the values in the already-filled fields of the form and their dependencies; the predicted values (endorsed based on field dependencies and prediction confidence) are then provided to the end-user as a list of suggestions. We evaluated LAFF by assessing its effectiveness and efficiency in form filling on two datasets, one of them proprietary from the banking domain. Experimental results show that LAFF is able to provide accurate suggestions with a Mean Reciprocal Rank value above 0.73. Furthermore, LAFF is efficient, requiring at most 317 ms per suggestion., Comment: Accepted for publication by ACM Transactions on Software Engineering and Methodology
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- 2022
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115. Data-driven Mutation Analysis for Cyber-Physical Systems
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Viganò, Enrico, Cornejo, Oscar, Pastore, Fabrizio, and Briand, Lionel
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Computer Science - Software Engineering - Abstract
Cyber-physical systems (CPSs) typically consist of a wide set of integrated, heterogeneous components; consequently, most of their critical failures relate to the interoperability of such components.Unfortunately, most CPS test automation techniques are preliminary and industry still heavily relies on manual testing. With potentially incomplete, manually-generated test suites, it is of paramount importance to assess their quality. Though mutation analysis has demonstrated to be an effective means to assess test suite quality in some specific contexts, we lack approaches for CPSs. Indeed, existing approaches do not target interoperability problems and cannot be executed in the presence of black-box or simulated components, a typical situation with CPSs. In this paper, we introduce data-driven mutation analysis, an approach that consists in assessing test suite quality by verifying if it detects interoperability faults simulated by mutating the data exchanged by software components. To this end, we describe a data-driven mutation analysis technique (DaMAT) that automatically alters the data exchanged through data buffers. Our technique is driven by fault models in tabular form where engineers specify how to mutate data items by selecting and configuring a set of mutation operators. We have evaluated DaMAT with CPSs in the space domain; specifically, the test suites for the software systems of a microsatellite and nanosatellites launched on orbit last year. Our results show that the approach effectively detects test suite shortcomings, is not affected by equivalent and redundant mutants, and entails acceptable costs., Comment: 19 pages
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- 2022
116. Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering
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Attaoui, Mohammed Oualid, Fahmy, Hazem, Pastore, Fabrizio, and Briand, Lionel
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Computer Science - Software Engineering ,Computer Science - Machine Learning - Abstract
Deep neural networks (DNNs) have demonstrated superior performance over classical machine learning to support many features in safety-critical systems. Although DNNs are now widely used in such systems (e.g., self driving cars), there is limited progress regarding automated support for functional safety analysis in DNN-based systems. For example, the identification of root causes of errors, to enable both risk analysis and DNN retraining, remains an open problem. In this paper, we propose SAFE, a black-box approach to automatically characterize the root causes of DNN errors. SAFE relies on a transfer learning model pre-trained on ImageNet to extract the features from error-inducing images. It then applies a density-based clustering algorithm to detect arbitrary shaped clusters of images modeling plausible causes of error. Last, clusters are used to effectively retrain and improve the DNN. The black-box nature of SAFE is motivated by our objective not to require changes or even access to the DNN internals to facilitate adoption. Experimental results show the superior ability of SAFE in identifying different root causes of DNN errors based on case studies in the automotive domain. It also yields significant improvements in DNN accuracy after retraining, while saving significant execution time and memory when compared to alternatives., Comment: 41 pages, 12 figures, 15 tables
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- 2022
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117. Implementation of perennial malaria chemoprevention in infants at district-level in Togo: mixed methods assessment of health system readiness
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Revollon, Natacha, Dzoka, Koku Delanyo, Gbeasor-Komlanvi, Diane Fifonsi, Sadio, Arnold, Arikawa, Shino, Atekpe, Abraham, Konu, Rodion, Bhatta, Bandana, Tchankoni, Martin, Enguita-Fernàndez, Cristina, Saute, Francisco, Samai, Mohamed, Atchrimi, Bernard Tossou, Briand, Valérie, Menendez, Clara, Ekouevi, Didier Koumavi, and Orne-Gliemann, Joanna
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- 2024
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118. Disease risk of in vitro produced embryos: A review of current commercial practices in the context of international trade with emphasis on bovine embryos
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Funnell, Bethany, Briand-Amirat, Lamia, Viana, Joao Henrique Moreira, and Perry, George
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- 2024
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119. Prolonged Beta-Lactam Infusions in Children: A Systematic Review and Meta-Analysis
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Briand, Annabelle, Bernier, Laurie, Pincivy, Alix, Roumeliotis, Nadia, Autmizguine, Julie, Marsot, Amélie, Métras, Marie-Élaine, and Thibault, Celine
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- 2024
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120. Exploring OH incorporation pathways in pulsed laser deposited EuOOH thin films
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Nieto-Pinero, E., Gorni, G., Caño, A., Mariscal-Jimenez, A., Briand, E., Trimaille, I., Ganem, J.-J., Vickridge, I., Serna, R., and Gonzalo, J.
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- 2024
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121. Millettia dubia De Wild. (Fabaceae): Structural analysis of the oleanane-type glycosides and stimulation of the sweet taste receptors TAS1R2/TAS1R3
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Pertuit, David, Belloir, Christine, Bouizi, Younes, Delaude, Clément, Kapundu, Mpuza, Lacaille-Dubois, Marie-Aleth, Briand, Loïc, and Mitaine-Offer, Anne-Claire
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- 2024
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122. Active mussel biomonitoring for the health status assessment of the Western Mediterranean Sea
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Benito, Denis, Briand, Marine, Herlory, Olivier, Izagirre, Urtzi, Bouchoucha, Marc, and Briaudeau, Tifanie
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- 2024
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123. Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study.
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Yichen Li 0003, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su 0001, Lionel C. Briand, and Michael R. Lyu
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- 2024
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124. Automated anomaly detection for categorical data by repurposing a form filling recommender system.
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Hichem Belgacem, Xiaochen Li, Domenico Bianculli, and Lionel C. Briand
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- 2024
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125. Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches.
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Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, and Lionel C. Briand
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- 2024
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126. Probabilistic Safe WCET Estimation for Weakly Hard Real-time Systems at Design Stages.
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Jaekwon Lee, Seung Yeob Shin, Lionel C. Briand, and Shiva Nejati
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- 2024
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127. Automated Smell Detection and Recommendation in Natural Language Requirements.
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Alvaro Veizaga, Seung Yeob Shin, and Lionel C. Briand
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- 2024
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128. PKMζ alters oxycodone-taking in a dose- and sex-dependent manner
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Melissa C. Knouse, Alyssa R. Kniffin, Erin A. English, William Cuadrado, Troy M. Houser, and Lisa A. Briand
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Addiction ,Oxycodone ,PKMζ ,Sex differences ,Self-administration ,Motivation ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Opioid use disorder involves disruptions to glutamate homeostasis and dendritic spine density in the reward system. PKMζ is an atypical isoform of protein kinase C that is expressed exclusively in neurons and plays a role in postsynaptic glutamate signaling and dendritic spine maturation. As opioid use leads to alterations in glutamate transmission and dendritic spine density, we hypothesized that PKMζ deletion would alter opioid-taking behaviors. The current study examined two doses of oxycodone self-administration in male and female mice with constitutive deletion of PKMζ compared to wildtype controls. At a dose of 0.25 mg/kg/infusion, PKMζ deletion significantly potentiated oxycodone self-administration in both male and female mice. However, increases in motivation for oxycodone, as indicated by increased breakpoint on a progressive ratio schedule, were only seen in male PKMζ knockout mice and not females. When we examined a lower dose of oxycodone, 0.125 mg/kg/infusion, PKMζ knockout led to increases in oxycodone self-administration only in female mice. Additionally, female PKMζ knockout mice exhibited higher breakpoints on a progressive ratio schedule at this dose compared to all other groups. In addition to the self-administration studies, we also examined locomotor sensitization in response to experimenter administered oxycodone. PKMζ KO decreased oxycodone induced locomotion in males and potentiated oxycodone sensitization in females. Together, these results suggest that PKMζ acts to dampen oxycodone taking in both sexes, but females may be more sensitive to its effects.
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- 2024
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129. Exploring the role of the Recovery College model as a transformative tool for recovery-oriented practice: perceived benefits and perspectives from health practitioners in Quebec, Canada
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Julie Bellemare, Catherine Vallée, Catherine Briand, Anick Sauvageau, and Marie-Josée Drolet
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Recovery College ,recovery ,training program ,occupational therapy ,continuing professional development ,Psychiatry ,RC435-571 - Abstract
IntroductionMental health practitioners (MHPs), including occupational therapists (OTs), need support to adopt a truly recovery-oriented practice. Like other practitioners, if OTs often embrace the principles of recovery as a philosophical foundation for their practice, these principles may not always reflect in their attitudes, behaviors or in their interventions. While further research is needed to demonstrate the positive effects of recovery-oriented training programs on MHPs’ attitudes and practice, there is a need to explore novel training programs. The Recovery College (RC) model is one of the interventions that are designed to facilitate these changes in practice, through co-production and co-delivery of recovery-focused courses curriculum. Although the perceived benefits and outcomes of RC courses are widely documented, very few studies focus specifically on what MHPs gain from them or on their global experience. The aim of this article is to describe the experience of MHPs learners in RC courses and the perceived benefits on their practice.MethodsAn exploratory descriptive qualitative study was conducted. Data were collected through semi-structured interviews and analyzed using Miles and Huberman’s stepwise qualitative analysis method.ResultsParticipants were 13 MHPs working in community organizations or healthcare institutions and who participated as learners in a RC, in the province of Quebec, Canada. Ten themes emerged from the qualitative analysis. Participants expressed their perspectives on the format of the courses, their initial expectations and their recommendations. They also identified the types of knowledge they shared during the courses. Participants reported changes in their practice, raised awareness on their clinical and personal issues, improved well-being and recovery. Group composition, interactions within the group, complementarity of the different types of knowledge, and pedagogical design and learning activities were identified as key ingredients of RC.ConclusionsThis study highlighted RCs’ role in enriching MHPs clinically and personally. RC curriculum and courses drive changes in practice and attitudes towards service users. RCs may assist MHPs reflect on practice and improve their clinical reasoning. This study advances understanding of a promising, accessible training program for adopting a recovery-oriented practice amid a paradigm shift among MHPs and OTs.
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- 2024
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130. Sex differences in glutamate transmission and plasticity in reward related regions
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Alyssa R. Kniffin and Lisa A. Briand
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sex differences ,glutamate ,long-term depression (LTD) ,long-term potentiation (LTP) ,spine density ,structural plasticity ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Disruptions in glutamate homeostasis within the mesolimbic reward circuitry may play a role in the pathophysiology of various reward related disorders such as major depressive disorders, anxiety, and substance use disorders. Clear sex differences have emerged in the rates and symptom severity of these disorders which may result from differing underlying mechanisms of glutamatergic signaling. Indeed, preclinical models have begun to uncover baseline sex differences throughout the brain in glutamate transmission and synaptic plasticity. Glutamatergic synaptic strength can be assessed by looking at morphological features of glutamatergic neurons including spine size, spine density, and dendritic branching. Likewise, electrophysiology studies evaluate properties of glutamatergic neurons to provide information of their functional capacity. In combination with measures of glutamatergic transmission, synaptic plasticity can be evaluated using protocols that induce long-term potentiation or long-term depression. This review will consider preclinical rodent literature directly comparing glutamatergic transmission and plasticity in reward related regions of males and females. Additionally, we will suggest which regions are exhibiting evidence for sexually dimorphic mechanisms, convergent mechanisms, or no sex differences in glutamatergic transmission and plasticity and highlight gaps in the literature for future investigation.
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- 2024
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131. Antibiotic prescribing practices according to the AWaRe classification among children under 5 of age attending public primary care centres in four West African countries: a cross-sectional study (AIRE project, 2021–2022)
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Valéry Ridde, S Shepherd, Valériane Leroy, L Barry, M Bah, A Maïga, S Diallo, G Noel, T Sidibé, V Ridde, F Bah, Désiré Kargougou, A Baldé, D Diarra, D Zongo, F Lamontagne, M Traoré, A Ouedraogo, A Ouattara, V Leroy, R Becquet, L Catala, Ibrahima Sory Diallo, S Sani, Emelyne Gres, Cédric Besnier, Abdoul Aziz Diakité, Zineb Zair, Solange Ouédraogo Yugbaré, Gildas Boris Hedible, Abdoul Guaniyi Sawadogo, Jacques Séraphin Kolié, Bertrand Meda, Sandrine Busière, Franck Lamontagne, S Yugbaré Ouédraogo, VM Sanon Zombré, M Sama Cherif, I S Diallo, D F Kaba, A A Diakité, A Sidibé, H Abarry Souleymane, F Tidjani IssaganaDikouma, H Agbeci, D L Dahourou, S Desmonde, E Gres, G B Hedible, L Peters Bokol, J Tavarez, Z Zair, S Louart, A Cousien, V Briand, V Journot, S Lenaud, C N’Chot, B Seri, C Yao, G Anago, D Badiane, M Kinda, D Neboua, P S Dia, N di Mauro, K Nyoka, W Taokreo, OB Coulidiati Lompo, M Vignon, P Aba, N Diallo, M Ngaradoum, S Léno, A T Sow, A Soumah, B Baldé, K C Millimouno, M Haba, M Soumah, M Guilavogui, M N Sylla, S F Dounfangadouno, T I Bah, C Gnongoue, S Gaye, JPY Guilavogui, A O Touré, J S Kolié, A S Savadogo, F Sangala, T Konare, A Coulibaly, A Keita, H Traoré, I Sangaré, I Koné, S Diarra, V Opoue, F K Keita, M Dougabka, B Dembélé, M S Doumbia, G D Kargougou, S Keita, S Bouille, S Calmettes, K H Harouna, B Moutari, I Issaka, S O Assoumane, S Dioiri, M Sidi, K Sani Alio, S Amina, R Agbokou, M G Hamidou, S M Sani, A Mahamane, Aboubacar Abdou, B Ousmane, I Kabirou, I Mahaman, I Mamoudou, M Baguido, R Abdoul, A Sahabi, F Seini, Z Hamani, L-Y B Meda, Mactar Niome, X Toviho, I Sanouna, P Kouam, S Busière, F Triclin, A Hema, M Bayala, L Tapsoba, J B Yaro, S Sougue, R Bakyono, A G Sawadogo, Y A Lompo, B Malgoubri, F Douamba, G Sore, L Wangraoua, S Yamponi, S I Bayala, S Tiegna, S Kam, S Yoda, M Karantao, D F Barry, O Sanou, N Nacoulma, N Semde, I Ouattara, F Wango, Z Gneissien, H Congo, Y Diarra, B Ouattara, F Diabate, O Goita, S Gana, S Sylla, D Coulibaly, N Sakho, K Kadio, J Yougbaré, S Tougouma, A Dicko, Z Nanema, I Balima, S E Coulibaly, H Baldé, E Duparc Haba, Y Sangare, B Traore, A E Dagobi, S Salifou, B Gana MoustaphaChétima, and I H Abdou
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Pediatrics ,RJ1-570 - Abstract
Objective To describe antibiotic prescribing practices using the WHO AWaRe (Access, Watch, Reserve) classification in West African children under 5 years of age attending public primary health centres (PHCs).Design Cross-sectional study.Setting The AIRE project implemented the systematic use of pulse oximetry into integrated management of childhood illness consultations in West African countries (Burkina Faso, Guinea, Mali and Niger). We described antibiotic prescriptions for outpatient children at 16 PHCs and for severe cases referred at district hospitals.Patients Between 14 June 2021 and 19 June 2022, 15 854 outpatients were included: 968 neonates and young infants (0–28 days) and 14 886 children (2–59 months). Among them, 78 (8.1%) neonates and young infants and 385 (2.6%) children were hospitalised. We evaluated 58 hospitalised neonates and young infants and 275 hospitalised children, respectively.Main outcome measures Frequency of antibiotic prescriptions according to the AWaRe classification recommended by WHO.Results At the PHC level, proportions of neonates and young infants with ≥1 antibiotic prescription were 83%, 62%, 71% and 59% in Burkina Faso, Guinea, Mali and Niger, respectively. A total of 805 antibiotics were prescribed (85% Access and 13% Watch). The proportions of children with ≥1 antibiotic prescription reached 71%, 66%, 63% and 36% in Burkina Faso, Guinea, Mali and Niger, respectively. Out of the 9630 antibiotics prescribed, 93% were Access (mainly amoxicillin), and 7% Watch. At the hospital level, Watch antibiotics were mainly prescribed for severe cases referred. No Reserve antibiotics were prescribed.Conclusions High proportions of antibiotics were prescribed to outpatient children included, the appropriateness of which needs further study. Nevertheless, in every country, the proportion prescribed in the Access group reached the minimum threshold of 60% of all antibiotic prescriptions, as recommended by WHO.Trial registration number PACTR202206525204526.
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- 2024
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132. Allergic and hypersensitivity condition in the International Patients’ Summary (IPS) standard: The need of updates through the International Classification of Diseases (ICD)-11
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Luciana Kase Tanno, MD, PhD, Alain Perie, PhD, Jonathan A. Bernstein, MD, James L. Sublett, MD, Karapet Davtyan, MD, MPH, MBA, Frederic Berard, MD, PhD, Ruby Pawankar, MD, PhD, Marylin Valentin Rostan, MD, Herberto Chong, MD, PhD, Anahi Yañez, MD, Ignacio J. Ansontegui, MD, PhD, Motohiro Ebisawa, MD, PhD, Gary W.K. Wong, MD, PhD, Mario Morais-Almeida, MD, Bryan Martin, MD, Yann Briand, PhD, and Pascal Demoly, MD, PhD
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Allergy ,Anaphylaxis ,Classification ,Coding ,Epidemiology ,Hypersensitivity ,Immunologic diseases. Allergy ,RC581-607 - Abstract
In 2010, the United States Human and Health Services (US HHS) and the European Union's (EU) Directorate General for Communications Networks, Content and Technology signed a memorandum of understanding to stimulate cooperation surrounding health-related information communications technology. The key project that emerged from this agreement is the International Patient Summary (IPS), intended to provide succinct clinically relevant patient summaries, which are generalizable and condition-independent, that can be readily used by all clinicians for the care of patients. Although allergies are included in the main information required by the IPS library and framework, it is misrepresented which leads to underdiagnosis or misdiagnosis of patients suffering from allergic and hypersensitivity conditions (A/H). The French and Montpellier World Health Organization (WHO) Collaborating Centres have provided arguments for supporting representation of A/H in the IPS. These are based on the relevance of the new classification of A/H in the WHO International Classification of Diseases 11th version (ICD-11), and the need for alignment of eHealth tools with harmonized health information. We first present the A/H in the IPS initiative with the mission of producing an international information system that can be used globally in electronic health records to standardize clinical diagnoses and facilitate communication between clinicians caring for patients with A/H diseases. It is believed this initiative will provide a strong voice for the allergy community and an effective process for improving the quality of health data that will optimize medical care for our patients worldwide.
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- 2024
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133. Synergistic patient factors are driving recent increased pediatric urgent care demand
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Emily Lehan, Peyton Briand, Eileen O’Brien, Aleena Amjad Hafeez, and Daniel J. Mulder
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Computer applications to medicine. Medical informatics ,R858-859.7 - Published
- 2024
134. Post-weaning social isolation alters sociability in a sex-specific manner
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Teneisha Myers, Elizabeth A. Birmingham, Brigham T. Rhoads, Anna G. McGrath, Nylah A. Miles, Carmen B. Schuldt, and Lisa A. Briand
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social isolation ,adolescence ,minocycline ,social interaction ,sex differences ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Adolescence is a critical period for brain development in humans and stress exposure during this time can have lasting effects on behavior and brain development. Social isolation and loneliness are particularly salient stressors that lead to detrimental mental health outcomes particularly in females, although most of the preclinical work on social isolation has been done in male animals. Our lab has developed a model of post-weaning adolescent social isolation that leads to increased drug reward sensitivity and altered neuronal structure in limbic brain regions. The current study utilized this model to determine the impact of adolescent social isolation on a three-chamber social interaction task both during adolescence and adulthood. We found that while post-weaning isolation does not alter social interaction during adolescence (PND45), it has sex-specific effects on social interaction in young adulthood (PND60), potentiating social interaction in male mice and decreasing it in female mice. As early life stress can activate microglia leading to alterations in neuronal pruning, we next examined the impact of inhibiting microglial activation with daily minocycline administration during the first 3 weeks of social isolation on these changes in social interaction. During adolescence, minocycline dampened social interaction in male mice, while having no effect in females. In contrast, during young adulthood, minocycline did not alter the impact of adolescent social isolation in males, with socially isolated males exhibiting higher levels of social interaction compared to their group housed counterparts. In females, adolescent minocycline treatment reversed the effect of social isolation leading to increased social interaction in the social isolation group, mimicking what is seen in naïve males. Taken together, adolescent social isolation leads to sex-specific effects on social interaction in young adulthood and adolescent minocycline treatment alters the effects of social isolation in females, but not males.
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- 2024
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135. Regulatory T cell homing and activation is a signature of neonatal sepsis
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Darius Sossou, Sem Ezinmegnon, Gino Agbota, Komi Gbedande, Manfred Accrombessi, Achille Massougbodji, Marceline d’Almeida, Jules M. Alao, Ida Dossou-Dagba, Alexandre Pachot, Laurence Vachot, Karen Brengel-Pesce, Gilles Cottrell, Akadiri Yessoufou, Valérie Briand, Pierre Tissières, and Nadine Fievet
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Treg ,immunity ,sepsis ,newborn ,prematurity ,malaria in pregnancy ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Regulatory T cells (Treg) play a prominent role in utero tolerating non-inherited maternal antigens and in regulating immune responses against pathogens at birth. This study investigates Treg immunity in newborns in West Africa, where sepsis remains a major public health problem. Treg phenotypes on neonates subgroups with early-onset sepsis (EOS), presumed sepsis, and healthy newborn with and without prenatal risk factors were evaluated. Treg phenotypes varied according to prenatal conditions, with increase in Treg frequency and Foxp3 expression in healthy newborns with prenatal risk factors compared to those with none risk. Compared to healthy newborns with prenatal risk factors, EOS neonates had a significantly reduced frequency of Treg and Foxp3 expression. In the Treg pool, higher frequency of activated Treg was observed in EOS neonates, suggesting an in-utero activation upstream of the sepsis onset. Their migration to the infection site may explain the reduced frequency of circulating Integrin α4β1+ Treg suggestive of homing to the endothelial tissue. EOS neonates show increases expression of CTLA-4, PD-1 and CD39 on Treg, which negatively regulate the activation of effector T cells (Teff) corroborating by the lower frequency of Teff in EOS neonates. The higher frequency of CD39+ Treg and the lower frequency of integrinα4β1+ Treg in EOS non-survivor suggests that Treg exhaustement and endothelial homing are associated with outcome severity. Neonates developing EOS are born with an altered Treg phenotypic profile. Treg expression of CTLA-4, PD-1, CD39, and integrinα4β1 cell markers can be considered as early warning or diagnostic markers of EOS.
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- 2024
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136. Preparing for the next respiratory pathogen pandemic: using tabletop simulation exercises to strengthen national planning in Cook Islands, Costa Rica, Lebanon and Mongolia
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Hitesh Chugh, Oluwatosin Wuraola Akande, Roberto Arroba Tijerino, Moubadda Assi, Metua Bates, Atika Berry, Hebleen Brenes, Dulamragchaa Buyanbaatar, Urtnasan Chuluunbat, Gerelmaa Danzan, Oyungerel Darmaa, Ingrid Garcia, Nada Ghosn, Ruba Hikmat, Ana Maria Jimenez, Shakila Naidu, Karen Ngamata, Phuong Nam Nguyen, Beverley Paterson, Nomin-Erdene Tsogtgerel, Andrea Patricia Villalobos, Valentino Wichman, Kelly Safreed-Harmon, Shoshanna Goldin, Sylvie Briand, and Gina Samaan
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pandemic ,preparedness ,response ,exercise ,respiratory ,pathogen ,Public aspects of medicine ,RA1-1270 - Abstract
The Preparedness and Resilience for Emerging Threats (PRET) initiative takes an innovative mode-of-transmission approach to pandemic planning by advocating for integrated preparedness and response systems and capacities for groups of pathogens with common transmission pathways. The World Health Organization (WHO) launched this initiative in 2023 with the publication of PRET Module 1 addressing respiratory pathogens. Exercise PanPRET-1 is a customizable tabletop simulation exercise (TTX) package developed to complement PRET Module 1. The exercise scenario focuses on strengthening capacities for multisectoral coordination, risk communication and community engagement, and the triggers for operational decision-making. This article reports on the experiences of the first four countries to implement Exercise PanPRET-1: Cook Islands, Costa Rica, Lebanon and Mongolia. Exercise outcomes demonstrated that PanPRET-1 can be an effective tool for testing pandemic plans in a multisectoral forum and identifying opportunities to improve preparedness and response in key domains. In quantitative evaluations in Cook Islands, Costa Rica and Mongolia, high proportions of exercise participants indicated that multiple aspects of the exercise were well-designed and were beneficial for improving health emergency preparedness. Exercise participants in Lebanon provided qualitative feedback indicating that they found the exercise to be beneficial. Conducting a TTX and monitoring the implementation of action plans based on exercise findings facilitates a country-owned whole-of-society vision for pandemic planning. Countries are encouraged to incorporate TTX such as Exercise PanPRET-1 into a continuous cycle of activity to improve pandemic preparedness.
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- 2024
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137. Modulation of brain activity in brain-injured patients with a disorder of consciousness in intensive care with repeated 10-Hz transcranial alternating current stimulation (tACS): a randomised controlled trial protocol
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David Williamson, Francis Bernard, Stefanie Blain-Moraes, Caroline Arbour, Virginie Williams, Louis de Beaumont, Catherine Duclos, Béatrice P De Koninck, Daphnee Brazeau, Amelie A Deshaies, Marie-Michele Briand, and Charlotte Maschke
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Medicine - Abstract
Introduction Therapeutic interventions for disorders of consciousness lack consistency; evidence supports non-invasive brain stimulation, but few studies assess neuromodulation in acute-to-subacute brain-injured patients. This study aims to validate the feasibility and assess the effect of a multi-session transcranial alternating current stimulation (tACS) intervention in subacute brain-injured patients on recovery of consciousness, related brain oscillations and brain network dynamics.Methods and analyses The study is comprised of two phases: a validation phase (n=12) and a randomised controlled trial (n=138). Both phases will be conducted in medically stable brain-injured adult patients (traumatic brain injury and hypoxic-ischaemic encephalopathy), with a Glasgow Coma Scale score ≤12 after continuous sedation withdrawal. Recruitment will occur at the intensive care unit of a Level 1 Trauma Centre in Montreal, Quebec, Canada. The intervention includes a 20 min 10 Hz tACS at 1 mA intensity or a sham session over parieto-occipital cortical sites, repeated over five consecutive days. The current’s frequency targets alpha brain oscillations (8–13 Hz), known to be associated with consciousness. Resting-state electroencephalogram (EEG) will be recorded four times daily for five consecutive days: pre and post-intervention, at 60 and 120 min post-tACS. Two additional recordings will be included: 24 hours and 1-week post-protocol. Multimodal measures (blood samples, pupillometry, behavioural consciousness assessments (Coma Recovery Scale-revised), actigraphy measures) will be acquired from baseline up to 1 week after the stimulation. EEG signal analysis will focus on the alpha bandwidth (8–13 Hz) using spectral and functional network analyses. Phone assessments at 3, 6 and 12 months post-tACS, will measure long-term functional recovery, quality of life and caregivers’ burden.Ethics and dissemination Ethical approval for this study has been granted by the Research Ethics Board of the CIUSSS du Nord-de-l’Île-de-Montréal (Project ID 2021–2279). The findings of this two-phase study will be submitted for publication in a peer-reviewed academic journal and submitted for presentation at conferences. The trial’s results will be published on a public trial registry database (ClinicalTrials.gov).Trial registration number NCT05833568.
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- 2024
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138. Flakify: A Black-Box, Language Model-based Predictor for Flaky Tests
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Fatima, Sakina, Ghaleb, Taher A., and Briand, Lionel
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Computer Science - Software Engineering - Abstract
Software testing assures that code changes do not adversely affect existing functionality. However, a test case can be flaky, i.e., passing and failing across executions, even for the same version of the source code. Flaky test cases introduce overhead to software development as they can lead to unnecessary attempts to debug production or testing code. The state-of-the-art ML-based flaky test case predictors rely on pre-defined sets of features that are either project-specific, require access to production code, which is not always available to software test engineers. Therefore, in this paper, we propose Flakify, a black-box, language model-based predictor for flaky test cases. Flakify relies exclusively on the source code of test cases, thus not requiring to (a) access to production code (black-box), (b) rerun test cases, (c) pre-define features. To this end, we employed CodeBERT, a pre-trained language model, and fine-tuned it to predict flaky test cases using the source code of test cases. We evaluated Flakify on two publicly available datasets (FlakeFlagger and IDoFT) for flaky test cases and compared our technique with the FlakeFlagger approach using two different evaluation procedures: cross-validation and per-project validation. Flakify achieved high F1-scores on both datasets using cross-validation and per-project validation, and surpassed FlakeFlagger by 10 and 18 percentage points in terms of precision and recall, respectively, when evaluated on the FlakeFlagger dataset, thus reducing the cost bound to be wasted on unnecessarily debugging test cases and production code by the same percentages. Flakify also achieved significantly higher prediction results when used to predict test cases on new projects, suggesting better generalizability over FlakeFlagger. Our results further show that a black-box version of FlakeFlagger is not a viable option for predicting flaky test cases.
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- 2021
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139. Black-Box Testing of Deep Neural Networks Through Test Case Diversity
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Aghababaeyan, Zohreh, Abdellatif, Manel, Briand, Lionel, S, Ramesh, and Bagherzadeh, Mojtaba
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Computer Science - Software Engineering ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Deep Neural Networks (DNNs) have been extensively used in many areas including image processing, medical diagnostics, and autonomous driving. However, DNNs can exhibit erroneous behaviours that may lead to critical errors, especially when used in safety-critical systems. Inspired by testing techniques for traditional software systems, researchers have proposed neuron coverage criteria, as an analogy to source code coverage, to guide the testing of DNN models. Despite very active research on DNN coverage, several recent studies have questioned the usefulness of such criteria in guiding DNN testing. Further, from a practical standpoint, these criteria are white-box as they require access to the internals or training data of DNN models, which is in many contexts not feasible or convenient. In this paper, we investigate black-box input diversity metrics as an alternative to white-box coverage criteria. To this end, we first select and adapt three diversity metrics and study, in a controlled manner, their capacity to measure actual diversity in input sets. We then analyse their statistical association with fault detection using four datasets and five DNN models. We further compare diversity with state-of-the-art white-box coverage criteria. Our experiments show that relying on the diversity of image features embedded in test input sets is a more reliable indicator than coverage criteria to effectively guide the testing of DNNs. Indeed, we found that one of our selected black-box diversity metrics far outperforms existing coverage criteria in terms of fault-revealing capability and computational time. Results also confirm the suspicions that state-of-the-art coverage metrics are not adequate to guide the construction of test input sets to detect as many faults as possible with natural inputs.
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- 2021
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140. An AI-based Approach for Tracing Content Requirements in Financial Documents
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Li, Xiaochen, Bianculli, Domenico, and Briand, Lionel C.
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Computer Science - Information Retrieval - Abstract
The completeness (in terms of content) of financial documents is a fundamental requirement for investment funds. To ensure completeness, financial regulators spend a huge amount of time for carefully checking every financial document based on the relevant content requirements, which prescribe the information types to be included in financial documents (e.g., the description of shares' issue conditions). Although several techniques have been proposed to automatically detect certain types of information in documents in various application domains, they provide limited support to help regulators automatically identify the text chunks related to financial information types, due to the complexity of financial documents and the diversity of the sentences characterizing an information type. In this paper, we propose FITI, an artificial intelligence (AI)-based method for tracing content requirements in financial documents. Given a new financial document, FITI selects a set of candidate sentences for efficient information type identification. Then, FITI uses a combination of rule-based and data-centric approaches, by leveraging information retrieval (IR) and machine learning (ML) techniques that analyze the words, sentences, and contexts related to an information type, to rank candidate sentences. Finally, using a list of indicator phrases related to each information type, a heuristic-based selector, which considers both the sentence ranking and the domain-specific phrases, determines a list of sentences corresponding to each information type. We evaluated FITI by assessing its effectiveness in tracing financial content requirements in 100 financial documents. Experimental results show that FITI provides accurate identification with average precision and recall values of 0.824 and 0.646, respectively. Furthermore, FITI can detect about 80% of missing information types in financial documents., Comment: 17 pages, 3 figures
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- 2021
141. Infodemic Management in the Twenty-First Century
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Briand, Sylvie, Hess, Sarah, Nguyen, Tim, Purnat, Tina D., Purnat, Tina D., editor, Nguyen, Tim, editor, and Briand, Sylvie, editor
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- 2023
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142. A global research agenda on public health and social measures during emergencies/Programme mondial de recherche sur la sante publique et les mesures sociales dans les situations d'urgence/Programa mundial de investigacion sobre salud publica y medidas sociales en situaciones de emergencia
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Ludolph, Ramona, Takahashi, Ryoko, Shroff, Zubin Cyrus, Kosinska, Monika, Schmidt, Tanja, Anan, Huda Haidar, Arifi, Fatima, Yam, Abdoulaye, Rasanathan, Kumanan, Aseffa, Abraham, Nguyen, Phuong Nam, Kato, Masaya, Garg, Aarti, Dorji, Tshewang, Villalobos, Andrea, Haldane, Victoria, Nguyen, Tim, and Briand, Sylvie
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World Health Assembly ,Usage ,Coronavirus infections -- Usage ,Epidemics -- Usage ,Coronaviruses -- Usage ,Public health -- Usage - Abstract
Introduction Public health and social measures refer to non-pharmaceutical interventions implemented by individuals, communities and governments at all levels. Public health and social measures are a key strategy to offer [...], The importance of strong coordination for research on public health and social measures was highlighted at the Seventy-fourth World Health Assembly in 2021. This article describes efforts undertaken by the World Health Organization (WHO) to develop a global research agenda on the use of public health and social measures during health emergencies. This work includes a multistep process that started with a global technical consultation convened by WHO in September 2021. The consultation included experts from around the world and from a wide range of disciplines, such as public health, education, tourism, finance and social sciences, and aimed to identify research and implementation approaches based on lessons learnt during the coronavirus disease 2019 pandemic. To prepare for future epidemics and pandemics, it is essential to adopt a more robust, comparable and systematic research approach to public health and social measures. Such comprehensive approach will better inform agile, balanced and context-specific implementation decisions during future emergencies. This article describes the methods used to develop global research priorities for public health and social measures and the next steps needed. La soixante-quatorzieme Assemblee mondiale de la Sante en 2021 a souligne l'importance d'une coordination solide pour la recherche sur la sante publique et les mesures sociales. Le present article decrit les efforts entrepris par ('Organisation mondiale de la sante (OMS) pour elaborer un programme de recherche mondial sur l'utilisation des mesures de sante publique et des mesures sociales lors de situations d'urgence sanitaire. Ce travail comprend un processus en plusieurs etapes qui a commence par une consultation technique mondiale organisee par l'OMS en septembre 2021. La consultation a reuni des experts du monde entier issus d'un large eventail de disciplines telles que la sante publique, l'education, le tourisme, la finance et les sciences sociales. Elle visait a identifier des approches de recherche et de mise en reuvre fondees sur les enseignements tires de la pandemie de maladie a coronavirus de 2019. Pour se preparer aux futures epidemies et pandemies, il est essentiel d'adopter une approche de recherche plus solide, comparable et systematique en matiere de sante publique et de mesures sociales. Cette approche globale permettra de mieux eclairer les decisions de mise en reuvre agiles, equilibrees et adaptees au contexte lors des futures situations d'urgence. Le present article decrit les methodes appliquees pour definir les priorites mondiales de recherche en matiere de sante publique et de mesures sociales, ainsi que les prochaines etapes a franchir. En la 74.a Asamblea Mundial de la Salud, celebrada en 2021, se destaco la importancia de una solida coordinacion en la investigacion sobre salud publica y medidas sociales. Este articulo describe los esfuerzos que ha emprendido la Organizacion Mundial de la Salud (OMS) para desarrollar un programa mundial de investigacion sobre el uso de medidas sociales y de salud publica durante las emergencias sanitarias. Este trabajo incluye un proceso de varios pasos que comenzo con una consulta tecnica mundial que convoco la OMS en septiembre de 2021. La consulta incluyo a expertos de todo el mundo y de una gran variedad de disciplinas, como la salud publica, la educacion, el turismo, las finanzas y las ciencias sociales, y tuvo como objetivo identificar enfoques de investigacion y aplicacion basados en las lecciones aprendidas durante la pandemia de la enfermedad por coronavirus de 2019. Para prepararse ante futuras epidemias y pandemias, es esencial adoptar un enfoque de investigacion mas solido, comparable y sistematico en materia de salud publica y medidas sociales. Este enfoque integral informara mejor las decisiones de aplicacion agiles, equilibradas y adaptadas al contexto durante futuras emergencias. En este articulo se describen los metodos utilizados para elaborar las prioridades mundiales de investigacion sobre salud publica y medidas sociales, asi como los proximos pasos necesarios. [phrase omitted]
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- 2023
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143. Gender and Drug Use Discrimination Among People Who Inject Drugs: An Intersectional Approach Using the COSINUS Cohort
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Anwar I, Faye A, Pereira Gonçalves J, Briand Madrid L, Maradan G, Lalanne L, Jauffret-Roustide M, Auriacombe M, and Roux P
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gender ,injection drug use ,intersectionality ,discrimination ,Gynecology and obstetrics ,RG1-991 - Abstract
Ilhame Anwar,1 Aissatou Faye,1 Jessica Pereira Gonçalves,1 Laélia Briand Madrid,1 Gwenaëlle Maradan,2 Laurence Lalanne,3,4,* Marie Jauffret-Roustide,5– 7,* Marc Auriacombe,8– 10,* Perrine Roux1 1Aix Marseille Univ, Inserm, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l’Information Médicale, ISSPAM, Marseille, France; 2ORS PACA, Observatoire régional de la santé Provence-Alpes-Côte d’Azur, Marseille, France; 3INSERM 1114, Department of Psychiatry and Addictology, University Hospital of Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, 67000, France; 4Department of Psychiatry and Addictology, University Hospital of Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, 67000, France; 5CERMES3 (Inserm U988/UMR CNRS 8211/EHESS/Paris Descartes University), Paris, France; 6British Columbia Center on Substance Use, Vancouver, Canada; 7Baldy Center on Law and Social Policy, Buffalo University, New York, NY, USA; 8Univ. Bordeaux, Bordeaux, France; 9Addiction Team (Laboratoire de psychiatrie)/SANPSY, CNRS USR 3413, Bordeaux, France; 10Pôle Addictologie, CH Charles Perrens and CHU de Bordeaux, Bordeaux, France*These authors contributed equally to this workCorrespondence: Ilhame Anwar, Sciences Economiques et Sociales de la Santé et Traitement de l’Information Médicale (SESSTIM), Faculté des sciences médicales et paramédicales, 27 Bd Jean Moulin 13385 Marseille Cedex 5, Marseille, France, Email ilhame.anwar@inserm.frPurpose: Injection drug use is strongly associated with stigmatization by loved ones, healthcare providers, and society in general. This stigmatization can have negative consequences on the health of people who inject drugs (PWID) and limit their access to care. Women who inject drugs face greater stigma than men because of gendered social norms and the intersectional effect between gender and drug use identities. For this analysis, we aimed to study discrimination - which is closely linked to stigmatization - experienced by PWID, considering the intersectionality between drug use discrimination and gender discrimination in the French context.Methods: We used data from the COSINUS cohort study, conducted between June 2016 and May 2019 in four French cities. We selected 427 of the 665 PWID who regularly injected drugs enrolled in COSINUS, at three months of follow-up, and performed multivariable logistic regression to identify factors associated with self-reported drug use discrimination.Results: Women comprised 20.6% of the study sample. Sixty-nine percent of the participants declared drug use discrimination and 15% gender discrimination. In the multivariable regression analysis, PWID who had hurried injection out of fear of being seen were almost twice as likely to have experienced drug use discrimination (OR [95% CI]: 1.77 [1.15, 2.74], p = 0.010). Likewise, women experiencing gender discrimination were almost three times as likely to have experienced drug use discrimination (OR [95% CI]: 2.84 [1.07,7.56], p=0.037).Conclusion: Women who inject drugs experienced gender and drug use intersectional discrimination. This could be a reason for the low attendance rates of women in healthcare settings. In addition, discrimination negatively impacted injection drug use practices (eg, hurried injection), particularly for people with unstable housing who injected in public spaces. We recommend introducing adapted services in healthcare facilities for women who inject drugs, and creating a favorable social and physical environment for all PWID in order to improve their health and access to care.Keywords: gender, injection drug use, intersectionality, discrimination
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- 2024
144. Modulation of bitter taste receptors by yeast extracts
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Belloir, Christine, Karolkowski, Adeline, Thomas, Antoine, Menin, Rudy, and Briand, Loïc
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- 2024
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145. Spectrum of neuroradiological manifestations in primary hemophagocytic lymphohistiocytosis: a comparative study of EBV-induced versus non-EBV-induced forms in 75 genetically confirmed pediatric cases
- Author
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Charpentier, Hélène, Roux, Charles-Joris, Leroux, Pauline, Briand, Coralie, Levy, Raphaël, Dangouloff-Ros, Volodia, Desguerre, Isabelle, Neven, Bénédicte, Moshous, Despina, and Boddaert, Nathalie
- Published
- 2023
- Full Text
- View/download PDF
146. Explicit modelling of meso-scale damage in laminated composites – Comparison between finite fracture mechanics and cohesive zone model
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Vereecke, Jean, Bois, Christophe, Wahl, Jean-Christophe, Briand, Tanguy, Ballère, Ludovic, and Lavelle, Florian
- Published
- 2024
- Full Text
- View/download PDF
147. Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts
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Yaraghi, Ahmadreza Saboor, Bagherzadeh, Mojtaba, Kahani, Nafiseh, and Briand, Lionel
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Computer Science - Software Engineering - Abstract
Continuous Integration (CI) requires efficient regression testing to ensure software quality without significantly delaying its CI builds. This warrants the need for techniques to reduce regression testing time, such as Test Case Prioritization (TCP) techniques that prioritize the execution of test cases to detect faults as early as possible. Many recent TCP studies employ various Machine Learning (ML) techniques to deal with the dynamic and complex nature of CI. However, most of them use a limited number of features for training ML models and evaluate the models on subjects for which the application of TCP makes little practical sense, due to their small regression testing time and low number of failed builds. In this work, we first define, at a conceptual level, a data model that captures data sources and their relations in a typical CI environment. Second, based on this data model, we define a comprehensive set of features that covers all features previously used by related studies. Third, we develop methods and tools to collect the defined features for 25 open-source software systems with enough failed builds and whose regression testing takes at least five minutes. Fourth, relying on the collected dataset containing a comprehensive feature set, we answer four research questions concerning data collection time, the effectiveness of ML-based TCP, the impact of the features on effectiveness, the decay of ML-based TCP models over time, and the trade-off between data collection time and the effectiveness of ML-based TCP techniques., Comment: 27 pages, LaTeX; Minor writing corrections in the abstract; Major revision
- Published
- 2021
- Full Text
- View/download PDF
148. Observations of shock propagation through turbulent plasma in the solar corona
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Carley, Eoin P., Cecconi, Baptiste, Reid, Hamish A., Briand, Carine, Raja, Sasikumar, Masson, Sophie, Dorovskyy, Vladimir V., Tiburzi, Caterina, Vilmer, Nicole, Zucca, Pietro, Zarka, Philippe, Tagger, Michel, Griessmeier, Jean-Mathias, Corbel, Stéphane, Theureau, Gilles, Loh, Alan, and Girard, Julien
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Astrophysics - Solar and Stellar Astrophysics - Abstract
Eruptive activity in the solar corona can often lead to the propagation of shock waves. In the radio domain the primary signature of such shocks are type II radio bursts, observed in dynamic spectra as bands of emission slowly drifting towards lower frequencies over time. These radio bursts can sometimes have inhomogeneous and fragmented fine structure, but the cause of this fine structure is currently unclear. Here we observe a type II radio burst on 2019-March-20th using the New Extension in Nan\c{c}ay Upgrading LOFAR (NenuFAR), a radio interferometer observing between 10-85 MHz. We show that the distribution of size-scales of density perturbations associated with the type II fine structure follows a power law with a spectral index in the range of $\alpha=-1.7$ to -2.0, which closely matches the value of $-5/3$ expected of fully developed turbulence. We determine this turbulence to be upstream of the shock, in background coronal plasma at a heliocentric distance of $\sim$2 R$_{\odot}$. The observed inertial size-scales of the turbulent density inhomogeneities range from $\sim$62 Mm to $\sim$209 km. This shows that type II fine structure and fragmentation can be due to shock propagation through an inhomogeneous and turbulent coronal plasma, and we discuss the implications of this on electron acceleration in the coronal shock.
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- 2021
- Full Text
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149. Let's Get It Started (Again!): Fostering the Discoverability of New Releases on Deezer.
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Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça, and Guillaume Salha-Galvan
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- 2024
150. ONU - Afrique: Plaidoyer pour une coopération équilibrée et consensuelle
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Aristide Briand Reboas
- Published
- 2024
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