1,002 results on '"St- Onge, P."'
Search Results
52. RNA disruption is a widespread phenomenon associated with stress-induced cell death in tumour cells
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Butler, Phillipe, Pascheto, Isabella, Lizzi, Michayla, St-Onge, Renée, Lanner, Carita, Guo, Baoqing, Masilamani, Twinkle, Pritzker, Laura B., Kovala, A. Thomas, and Parissenti, Amadeo M.
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- 2023
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53. Making judgments based on reported observations of trainee performance: a scoping review in Health Professions Education
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Patricia Blanchette, Marie-Eve Poitras, Audrey-Ann Lefebvre, and Christina St-Onge
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Education (General) ,L7-991 ,Medicine (General) ,R5-920 - Abstract
Background: Educators now use reported observations when assessing trainees’ performance. Unfortunately, they have little information about how to design and implement assessments based on reported observations. Objective: The purpose of this scoping review was to map the literature on the use of reported observations in judging health professions education (HPE) trainees' performances. Methods: Arksey and O'Malley’s (2005) method was used with four databases (sources: ERIC, CINAHL, MEDLINE, PsycINFO). Eligibility criteria for articles were: documents in English or French, including primary data, and initial or professional training; (2) training in an HPE program; (3) workplace-based assessment; and (4) assessment based on reported observations. The inclusion/exclusion, and data extraction steps were performed (agreement rate > 90%). We developed a data extraction grid to chart the data. Descriptive analyses were used to summarize quantitative data, and the authors conducted thematic analysis for qualitative data. Results: Based on 36 papers and 13 consultations, the team identified six steps characterizing trainee performance assessment based on reported observations in HPE: (1) making first contact, (2) observing and documenting the trainee performance, (3) collecting and completing assessment data, (4) aggregating assessment data, (5) inferring the level of competence, and (6) documenting and communicating the decision to the stakeholders. Discussion: The design and implementation of assessment based on reported observations is a first step towards a quality implementation by guiding educators and administrators responsible for graduating competent professionals. Future research might focus on understanding the context beyond assessor cognition to ensure the quality of meta-assessors’ decisions.
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- 2024
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54. Ensemble2: Scenarios ensembling for communication and performance analysis
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Clara Bay, Guillaume St-Onge, Jessica T. Davis, Matteo Chinazzi, Emily Howerton, Justin Lessler, Michael C. Runge, Katriona Shea, Shaun Truelove, Cecile Viboud, and Alessandro Vespignani
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Ensemble method ,Scenario projections ,COVID-19 models ,Infectious and parasitic diseases ,RC109-216 - Abstract
Throughout the COVID-19 pandemic, scenario modeling played a crucial role in shaping the decision-making process of public health policies. Unlike forecasts, scenario projections rely on specific assumptions about the future that consider different plausible states-of-the-world that may or may not be realized and that depend on policy interventions, unpredictable changes in the epidemic outlook, etc. As a consequence, long-term scenario projections require different evaluation criteria than the ones used for traditional short-term epidemic forecasts. Here, we propose a novel ensemble procedure for assessing pandemic scenario projections using the results of the Scenario Modeling Hub (SMH) for COVID-19 in the United States (US). By defining a “scenario ensemble” for each model and the ensemble of models, termed “Ensemble2”, we provide a synthesis of potential epidemic outcomes, which we use to assess projections’ performance, bypassing the identification of the most plausible scenario. We find that overall the Ensemble2 models are well-calibrated and provide better performance than the scenario ensemble of individual models. The ensemble procedure accounts for the full range of plausible outcomes and highlights the importance of scenario design and effective communication. The scenario ensembling approach can be extended to any scenario design strategy, with potential refinements including weighting scenarios and allowing the ensembling process to evolve over time.
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- 2024
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55. Semantic navigation with domain knowledge
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Braga, Rafael Gomes, Karimi, Sina, Dah-Achinanon, Ulrich, Iordanova, Ivanka, and St-Onge, David
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Computer Science - Robotics - Abstract
Several deployment locations of mobile robotic systems are human made (i.e. urban firefighter, building inspection, property security) and the manager may have access to domain-specific knowledge about the place, which can provide semantic contextual information allowing better reasoning and decision making. In this paper we propose a system that allows a mobile robot to operate in a location-aware and operator-friendly way, by leveraging semantic information from the deployment location and integrating it to the robots localization and navigation systems. We integrate Building Information Models (BIM) into the Robotic Operating System (ROS), to generate topological and metric maps fed to an layered path planner (global and local). A map merging algorithm integrates newly discovered obstacles into the metric map, while a UWB-based localization system detects equipment to be registered back into the semantic database. The results are validated in simulation and real-life deployments in buildings and construction sites., Comment: 12 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:2104.10296
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- 2021
56. At-home computerized executive-function training to improve cognition and mobility in normal-hearing adults and older hearing aid users: a multi-centre, single-blinded randomized controlled trial
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Rachel Downey, Nathan Gagné, Niroshica Mohanathas, Jennifer L. Campos, Kathleen M. Pichora-Fuller, Louis Bherer, Maxime Lussier, Natalie A. Phillips, Walter Wittich, Nancy St-Onge, Jean-Pierre Gagné, and Karen Li
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Hearing loss ,Hearing aids ,Aging ,Falls ,Dual-task ,Executive function ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Hearing loss predicts cognitive decline and falls risk. It has been argued that degraded hearing makes listening effortful, causing competition for higher-level cognitive resources needed for secondary cognitive or motor tasks. Therefore, executive function training has the potential to improve cognitive performance, in turn improving mobility, especially when older adults with hearing loss are engaged in effortful listening. Moreover, research using mobile neuroimaging and ecologically valid measures of cognition and mobility in this population is limited. The objective of this research is to examine the effect of at-home cognitive training on dual-task performance using laboratory and simulated real-world conditions in normal-hearing adults and older hearing aid users. We hypothesize that executive function training will lead to greater improvements in cognitive-motor dual-task performance compared to a wait-list control group. We also hypothesize that executive function training will lead to the largest dual-task improvements in older hearing aid users, followed by normal-hearing older adults, and then middle-aged adults. Methods A multi-site (Concordia University and KITE-Toronto Rehabilitation Institute, University Health Network) single-blinded randomized controlled trial will be conducted whereby participants are randomized to either 12 weeks of at-home computerized executive function training or a wait-list control. Participants will consist of normal-hearing middle-aged adults (45–60 years old) and older adults (65–80 years old), as well as older hearing aid users (65–80 years old, ≥ 6 months hearing aid experience). Separate samples will undergo the same training protocol and the same pre- and post-evaluations of cognition, hearing, and mobility across sites. The primary dual-task outcome measures will involve either static balance (KITE site) or treadmill walking (Concordia site) with a secondary auditory-cognitive task. Dual-task performance will be assessed in an immersive virtual reality environment in KITE’s StreetLab and brain activity will be measured using functional near infrared spectroscopy at Concordia’s PERFORM Centre. Discussion This research will establish the efficacy of an at-home cognitive training program on complex auditory and motor functioning under laboratory and simulated real-world conditions. This will contribute to rehabilitation strategies in order to mitigate or prevent physical and cognitive decline in older adults with hearing loss. Trial registration Identifier: NCT05418998. https://clinicaltrials.gov/ct2/show/NCT05418998
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- 2023
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57. Repurposing disulfiram, an alcohol-abuse drug, in neuroblastoma causes KAT2A downregulation and in vivo activity with a water/oil emulsion
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Annie Beaudry, Simon Jacques-Ricard, Anaïs Darracq, Nicolas Sgarioto, Araceli Garcia, Teresita Rode García, William Lemieux, Kathie Béland, Elie Haddad, Paulo Cordeiro, Michel Duval, Serge McGraw, Chantal Richer, Maxime Caron, François Marois, Pascal St-Onge, Daniel Sinnett, Xavier Banquy, and Noël J.-M. Raynal
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Medicine ,Science - Abstract
Abstract Neuroblastoma, the most common type of pediatric extracranial solid tumor, causes 10% of childhood cancer deaths. Despite intensive multimodal treatment, the outcomes of high-risk neuroblastoma remain poor. We urgently need to develop new therapies with safe long-term toxicity profiles for rapid testing in clinical trials. Drug repurposing is a promising approach to meet these needs. Here, we investigated disulfiram, a safe and successful chronic alcoholism treatment with known anticancer and epigenetic effects. Disulfiram efficiently induced cell cycle arrest and decreased the viability of six human neuroblastoma cell lines at half-maximal inhibitory concentrations up to 20 times lower than its peak clinical plasma level in patients treated for chronic alcoholism. Disulfiram shifted neuroblastoma transcriptome, decreasing MYCN levels and activating neuronal differentiation. Consistently, disulfiram significantly reduced the protein level of lysine acetyltransferase 2A (KAT2A), drastically reducing acetylation of its target residues on histone H3. To investigate disulfiram’s anticancer effects in an in vivo model of high-risk neuroblastoma, we developed a disulfiram-loaded emulsion to deliver the highly liposoluble drug. Treatment with the emulsion significantly delayed neuroblastoma progression in mice. These results identify KAT2A as a novel target of disulfiram, which directly impacts neuroblastoma epigenetics and is a promising candidate for repurposing to treat pediatric neuroblastoma.
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- 2023
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58. Mild sleep restriction increases endothelial oxidative stress in female persons
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Riddhi Shah, Vikash Kumar Shah, Memet Emin, Su Gao, Rosemary V. Sampogna, Brooke Aggarwal, Audrey Chang, Marie-Pierre St-Onge, Vikas Malik, Jianlong Wang, Ying Wei, and Sanja Jelic
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Medicine ,Science - Abstract
Abstract Sleep restriction is associated with increased cardiovascular risk, which is more pronounced in female than male persons. We reported recently first causal evidence that mild, prolonged sleep restriction mimicking “real-life” conditions impairs endothelial function, a key step in the development and progression of cardiovascular disease, in healthy female persons. However, the underlying mechanisms are unclear. In model organisms, sleep restriction increases oxidative stress and upregulates antioxidant response via induction of the antioxidant regulator nuclear factor (erythroid-derived 2)-like 2 (Nrf2). Here, we assessed directly endothelial cell oxidative stress and antioxidant responses in healthy female persons (n = 35) after 6 weeks of mild sleep restriction (1.5 h less than habitual sleep) using randomized crossover design. Sleep restriction markedly increased endothelial oxidative stress without upregulating antioxidant response. Using RNA-seq and a predicted protein–protein interaction database, we identified reduced expression of endothelial Defective in Cullin Neddylation-1 Domain Containing 3 (DCUN1D3), a protein that licenses Nrf2 antioxidant responses, as a mediator of impaired endothelial antioxidant response in sleep restriction. Thus, sleep restriction impairs clearance of endothelial oxidative stress that over time increases cardiovascular risk. Trial Registration: NCT02835261
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- 2023
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59. Deoxygenative Suzuki–Miyaura arylation of tertiary alcohols through silyl ethers
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Cook, Adam, St. Onge, Piers, and Newman, Stephen G.
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- 2023
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60. Effect of Taste Additives on the Palatability of Activated Charcoal: a Systematic Review
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Canitrot, Elisabeth, Turgeon, Alexis F., Moore, Lynne, Diendéré, Ella, and St-Onge, Maude
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- 2023
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61. Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs
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St-Onge, Guillaume, Iacopini, Iacopo, Latora, Vito, Barrat, Alain, Petri, Giovanni, Allard, Antoine, and Hébert-Dufresne, Laurent
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Physics - Physics and Society - Abstract
Several biological and social contagion phenomena, such as superspreading events or social reinforcement, are the results of multi-body interactions, for which hypergraphs offer a natural mathematical description. In this paper, we develop a novel mathematical framework based on approximate master equations to study contagions on random hypergraphs with a heterogeneous structure, both in terms of group size (hyperedge cardinality) and of membership of nodes to groups (hyperdegree). The characterization of the inner dynamics of groups provides an accurate description of the contagion process, without losing the analytical tractability. Using a contagion model where multi-body interactions are mapped onto a nonlinear infection rate, our two main results show how large groups are influential, in the sense that they drive both the early spread of a contagion and its endemic state (i.e., its stationary state). First, we provide a detailed characterization of the phase transition, which can be continuous or discontinuous with a bistable regime, and derive analytical expressions for the critical and tricritical points. We find that large values of the third moment of the membership distribution suppress the emergence of a discontinuous phase transition. Furthermore, the combination of heterogeneous group sizes and nonlinear contagion facilitates the onset of a mesoscopic localization phase, where contagion is sustained only by the largest groups, thereby inhibiting bistability as well. Second, we formulate the problem of optimal seeding for hypergraph contagion, and we compare two strategies: tuning the allocation of seeds according to either individual node or group properties. We find that, when the contagion is sufficiently nonlinear, groups are more effective seeds of contagion than individual nodes., Comment: 23 pages, 12 figures (main text); 6 pages, 3 figures (supplementary information)
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- 2021
62. Semantic Navigation Using Building Information on Construction Sites
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Karimi, Sina, Braga, Rafael Gomes, Iordanova, Ivanka, and St-Onge, David
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Computer Science - Robotics - Abstract
With the growth in automated data collection of construction projects, the need for semantic navigation of mobile robots is increasing. In this paper, we propose an infrastructure to leverage building-related information for smarter, safer and more precise robot navigation during construction phase. Our use of Building Information Models (BIM) in robot navigation is twofold: (1) the intuitive semantic information enables non-experts to deploy robots and (2) the semantic data exposed to the navigation system allows optimal path planning (not necessarily the shortest one). Our Building Information Robotic System (BIRS) uses Industry Foundation Classes (IFC) as the interoperable data format between BIM and the Robotic Operating System (ROS). BIRS generates topological and metric maps from BIM for ROS usage. An optimal path planer, integrating critical components for construction assessment is proposed using a cascade strategy (global versus local). The results are validated through series of experiments in construction sites., Comment: 7 pages, 7 figures, conference
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- 2021
63. An ontology-based approach to data exchanges for robot navigation on construction sites
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Karimi, Sina, Iordanova, Ivanka, and St-Onge, David
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Computer Science - Robotics - Abstract
With growth in the use of autonomous Unmanned Ground Vehicle (UGV) for automated data collection from construction projects, the problem of inter-disciplinary semantic data sharing and exchanges between construction and robotic domains has attracted construction stakeholders' attention. Cross-domain data translation requires detailed specifications especially when it comes to semantic data translation. Building Information Modeling (BIM) and Geographic Information System (GIS) are the two technologies to capture and store construction data for indoor structure and outdoor environment respectively. In the absence of a standard format for data exchanges between the construction and robotic domains, the tools of both industries are yet to be integrated in a coherent deployment infrastructure. Hence, the semantics of BIM-GIS cannot be automatically integrated by any robotic platform. To enable semantic data transfer across domains, semantic web technology has been widely used in multidisciplinary areas for interoperability. We exploit it to pave the way to a smarter, quicker and more precise robot navigation on job-sites. This paper develops a semantic web ontology integrating robot navigation and data collection to convey the meanings from BIM-GIS to the robot. The proposed Building Information Robotic System (BIRS) provides construction data that are semantically transferred to the robotic platform and can be used by the robot navigation software stack on construction sites. To reach this objective, we first need to bridge the knowledge representation between construction and robotic domains. Then, we develop a semantic database to integrate with Robot Operating System (ROS) which can communicate with the robot and the navigation system in order to provide the robot with semantic building data at each step of data collection. Finally, the proposed system is validated through a case study., Comment: 21 pages, 12 figures, journal paper
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- 2021
64. Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution
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Zohour, Hamed Montazer, Belzile, Bruno, and St-Onge, David
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Computer Science - Robotics - Abstract
A polynomial solution to the inverse kinematic problem of the Kinova Gen3 Lite robot is proposed in this paper. This serial robot is based on a 6R kinematic chain and is not wrist-partitioned. We first start from the forward kinematics equation providing the position and orientation of the end-effector, finally, the univariate polynomial equation is given as a function of the first joint variable $\theta_{1}$. The remaining joint variables are computed by back substitution. Thus, an unique set of joint position is obtain for each root of the univariate equation. Numerical examples, simulated in ROS (Robot Operating System), are given to validate the results, which are compared to the coordinates obtained with MoveIt! and with the actual robot. A procedure to choose an optimum posture of the robot is also proposed.
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- 2021
65. Universal nonlinear infection kernel from heterogeneous exposure on higher-order networks
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St-Onge, Guillaume, Sun, Hanlin, Allard, Antoine, Hébert-Dufresne, Laurent, and Bianconi, Ginestra
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Physics - Physics and Society ,Nonlinear Sciences - Adaptation and Self-Organizing Systems - Abstract
The colocation of individuals in different environments is an important prerequisite for exposure to infectious diseases on a social network. Standard epidemic models fail to capture the potential complexity of this scenario by (1) neglecting the higher-order structure of contacts which typically occur through environments like workplaces, restaurants, and households; and by (2) assuming a linear relationship between the exposure to infected contacts and the risk of infection. Here, we leverage a hypergraph model to embrace the heterogeneity of environments and the heterogeneity of individual participation in these environments. We find that combining heterogeneous exposure with the concept of minimal infective dose induces a universal nonlinear relationship between infected contacts and infection risk. Under nonlinear infection kernels, conventional epidemic wisdom breaks down with the emergence of discontinuous transitions, super-exponential spread, and hysteresis., Comment: 21 pages, 9 figures
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- 2021
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66. Effects of Selective and Mixed-Action Kappa and Delta Opioid Receptor Agonists on Pain-Related Behavioral Depression in Mice
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S. Stevens Negus, Celsey M. St. Onge, Young K. Lee, Mengchu Li, Kenner C. Rice, and Yan Zhang
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kappa opioid receptor ,delta opioid receptor ,nalfurafine ,SNC80 ,hydrocodone ,aprepitant ,Organic chemistry ,QD241-441 - Abstract
We recently developed a series of nalfurafine analogs (TK10, TK33, and TK35) that may serve as non-addictive candidate analgesics. These compounds are mixed-action agonists at the kappa and delta opioid receptors (KOR and DOR, respectively) and produce antinociception in a mouse warm-water tail-immersion test while failing to produce typical mu opioid receptor (MOR)-mediated side effects. The warm-water tail-immersion test is an assay of pain-stimulated behavior vulnerable to false-positive analgesic-like effects by drugs that produce motor impairment. Accordingly, this study evaluated TK10, TK33, and TK35 in a recently validated assay of pain-related behavioral depression in mice that are less vulnerable to false-positive effects. For comparison, we also evaluated the effects of the MOR agonist/analgesic hydrocodone (positive control), the neurokinin 1 receptor (NK1R) antagonist aprepitant (negative control), nalfurafine as a selective KOR agonist, SNC80 as a selective DOR agonist, and a nalfurafine/SNC80 mixture. Intraperitoneal injection of dilute lactic acid (IP lactic acid) served as a noxious stimulus to depress vertical and horizontal locomotor activity in male and female ICR mice. IP lactic acid-induced locomotor depression was alleviated by hydrocodone but not by aprepitant, nalfurafine, SNC80, the nalfurafine/SNC80 mixture, or the KOR/DOR agonists. These results suggest that caution is warranted in advancing mixed-action KOR/DOR agonists as candidate analgesics.
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- 2024
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67. Chrononutrition and Cardiometabolic Health: An Overview of Epidemiological Evidence and Key Future Research Directions
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Oluwatimilehin E. Raji, Esther B. Kyeremah, Dorothy D. Sears, Marie-Pierre St-Onge, and Nour Makarem
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chrononutrition ,temporal eating patterns ,circadian rhythms ,eating timing ,eating regularity ,cardiometabolic health ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Chrononutrition is a rapidly evolving field of nutritional epidemiology that addresses the complex relationship between temporal eating patterns, circadian rhythms, and metabolic health, but most prior research has focused on the cardiometabolic consequences of time-restricted feeding and intermittent fasting. The purpose of this topical review is to summarize epidemiological evidence from observational and intervention studies regarding the role of chrononutrition metrics related to eating timing and regularity in cardiometabolic health preservation and cardiovascular disease prevention. Observational studies are limited due to the lack of time-stamped diet data in most population-based studies. Findings from cohort studies generally indicate that breakfast skipping or the later timing of the first eating occasion, a later lunch and dinner, and a greater proportion of caloric intake consumed in the evening are associated with adverse cardiometabolic outcomes, including higher risk for coronary heart disease, hypertension, type 2 diabetes, obesity, dyslipidemia, and systemic inflammation. Randomized controlled trials are also limited, as most in the field of chrononutrition focus on the cardiometabolic consequences of time-restricted feeding. Overall, interventions that shift eating timing patterns to earlier in the day and that restrict evening caloric intake tend to have protective effects on cardiometabolic health, but small sample sizes and short follow-up are notable limitations. Innovation in dietary assessment approaches, to develop low-cost validated tools with acceptable participant burden that reliably capture chrononutrition metrics, is needed for advancing observational evidence. Culturally responsive pragmatic intervention studies with sufficiently large and representative samples are needed to understand the impact of fixed and earlier eating timing schedules on cardiometabolic health. Additional research is warranted to understand the modifiable determinants of temporal eating patterns, to investigate the role of chrononutrition in the context of other dimensions of diet (quantity, quality, and food and nutrition security) in achieving cardiometabolic health equity, and to elucidate underlying physiological mechanisms.
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- 2024
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68. Stakeholders' Perception on the Implementation of Developmental Progress Assessment: Using the Theoretical Domains Framework to Document Behavioral Determinants
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St-Onge, Christina, Boileau, Elisabeth, Langevin, Serge, Nguyen, Lily H. P., Drescher, Olivia, Bergeron, Linda, and Thomas, Aliki
- Abstract
Background: The widespread implementation of longitudinal assessment (LA) to document trainees' progression to independent practice rests more on speculative rather than evidence-based benefits. We aimed to document stakeholders' knowledge of- and attitudes towards LA, and identify how the supports and barriers can help or hinder the uptake and sustainable use of LA. Methods: We interviewed representatives from four stakeholder groups involved in LA. The interview protocols were based on the Theoretical Domains Framework (TDF), which contains a total of 14 behaviour change determinants. Two team members coded the interviews deductively to the TDF, with a third resolving differences in coding. The qualitative data analysis was completed with iterative consultations and discussions with team members until consensus was achieved. Saliency analysis was used to identify dominant domains. Results: Forty-one individuals participated in the study. Three dominant domains were identified. Participants perceive that LA has more positive than negative consequences and requires substantial resources. All the elements and characteristics of LA are present in our data, with differences between stakeholders. Conclusion: Going forward, we could develop and implement tailored and theory driven interventions to promote a shared understanding of LA, and maintain potential positive outcomes while reducing negative ones. Furthermore, resources to support LA implementation need to be addressed to facilitate its uptake.
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- 2022
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69. Variability in Daily Eating Patterns and Eating Jetlag Are Associated With Worsened Cardiometabolic Risk Profiles in the American Heart Association Go Red for Women Strategically Focused Research Network
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Makarem, Nour, Sears, Dorothy D, St‐Onge, Marie‐Pierre, Zuraikat, Faris M, Gallo, Linda C, Talavera, Gregory A, Castaneda, Sheila F, Lai, Yue, and Aggarwal, Brooke
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Clinical Research ,Hematology ,Obesity ,Nutrition ,Metabolic and endocrine ,Cardiovascular ,Adult ,American Heart Association ,Cardiometabolic Risk Factors ,Cardiovascular Diseases ,Cross-Sectional Studies ,Feeding Behavior ,Female ,Humans ,Middle Aged ,United States ,Young Adult ,cardiovascular disease prevention ,cardiovascular disease risk factors ,eating jetlag ,eating pattern variability ,women ,Cardiorespiratory Medicine and Haematology - Abstract
Background Sleep variability and social jetlag are associated with adverse cardiometabolic outcomes via circadian disruption. Variable eating patterns also lead to circadian disruption, but associations with cardiometabolic health are unknown. Methods and Results Women (n=115, mean age: 33±12 years) completed a 1-week food record using the Automated Self-Administered 24-Hour Dietary Assessment Tool at baseline and 1 year. Timing of first and last eating occasions, nightly fasting duration, and %kcal consumed after 5 pm (%kcal 5 pm) and 8 pm (%kcal 8 pm) were estimated. Day-to-day eating variability was assessed from the SD of these variables. Eating jetlag was defined as weekday-weekend differences in these metrics. Multivariable-adjusted linear models examined cross-sectional and longitudinal associations of day-to-day variability and eating jetlag metrics with cardiometabolic risk. Greater jetlag in eating start time, nightly fasting duration, and %kcal 8 pm related to higher body mass index and waist circumference at baseline (P
- Published
- 2021
70. Sedimentary Records in the Lesser Antilles Fore‐Arc Basins Provide Evidence of Large Late Quaternary Megathrust Earthquakes
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C. Seibert, N. Feuillet, G. Ratzov, C. Beck, P. Morena, L. Johannes, E. Ducassou, A. Cattaneo, C. Goldfinger, E. Moreno, A. Bieber, G. Bénâtre, B. Caron, M. Caron, M. Casse, T. Cavailhes, G. Del Manzo, C. E. Deschamps, P. A. Desiage, Q. Duboc, K. Fauquembergue, A. Ferrant, H. Guyard, E. Jacques, M. Laurencin, F. Leclerc, J. Patton, J. M. Saurel, G. St‐Onge, and P. Woerther
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submarine paleoseismology ,Lesser Antilles ,turbidites ,homogenites ,Geophysics. Cosmic physics ,QC801-809 ,Geology ,QE1-996.5 - Abstract
Abstract The seismic potential of the Lesser Antilles subduction zone is poorly known and highly debated. Only two damaging earthquakes have been reported in the historical period, in 1839 and 1843, but their sources and magnitude are still uncertain. Global Navigation Satellite Systems and coral data contradict each other, and no conclusion has been reached on the coupling ratio of the plate interface. Given the threat posed by the possible occurrence of a large megathrust earthquake, it is crucial to gain information on prehistorical events. We present the results of a submarine paleoseismological study that covers an exceptional ∼120 Kyr‐long period. We studied the sediments sampled in six up to 26 m‐long piston cores collected in deep fore‐arc basins located over the epicentral region of the 1843 earthquake. Using a multiproxy approach combining geophysical, geochemical, and sedimentological analysis, biostratigraphy and radiocarbon dating, we identified, characterized, and dated numerous event deposits that we then correlated with the sampled basins over an up to 160 km‐long area. We show that at least 33 earthquakes likely triggered these sediment remobilizations in the last 120 Kyr. Four of these events promoted exceptional deposits of turbidites + homogenites. From peak ground acceleration calculated for potential earthquakes occurring on various faults, and the absence of deposits linked to the historical earthquakes, we propose that the sources are likely megathrust earthquakes. Over the last 60 Kyr, we inferred at least three 15–25 Kyr‐long seismic cycles in which the recurrence times of earthquakes shortens from ∼5 to ∼2 Kyr.
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- 2024
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71. 'LI KA FÈ L TOU' : THE INFLUENCE OF AN EDUCATIONAL TELEVISION PROGRAM ON HAITIAN CHILDREN’S GENDER BELIEFS
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Dina L.G. Borzekowski, Tanesha Mondestin, and Sacha St-Onge Ahmad
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television, media, educational, gender, sex roles, Haiti, receptivity, stereotypes ,The family. Marriage. Woman ,HQ1-2044 ,Sociology (General) ,HM401-1281 - Abstract
This study examined whether an educational television show would affect young Haitian children’s gender perceptions. We first collected data on children’s beliefs about male and female characteristics and roles. Among 862 participating 6- and 7-year-olds from urban, peri-urban, and rural settings, we saw gender stereotypical beliefs about activities, traits, and occupations. We conducted a school-based intervention over a 10-week period, in which children were randomly assigned to watch a children’s television program in either of two groups: one that watched Lakou Kajou or one that watched Dora the Explorer. Each group saw 21 episodes of its assigned show, spread over 3 screenings of 7 episodes each. Lakou Kajou is an educational television show created in Haiti that purposely incorporates overt counter-stereotypical gender messaging. Among those children who watched Lakou Kajou and recalled more characters from the show, beliefs around gender became less stereotypical. In countries like Haiti, where pronounced gender disparities and biases exist, it is encouraging to see that a locally produced educational television show can change beliefs.
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- 2024
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72. UV reflectance in crop remote sensing: Assessing the current state of knowledge and extending research with strawberry cultivars.
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Megan Heath, David St-Onge, and Robert Hausler
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Medicine ,Science - Abstract
Remote sensing of spectral reflectance is a crucial parameter in precision agriculture. In particular, the visual color produced from reflected light can be used to determine plant health (VIS-IR) or attract pollinators (Near-UV). However, the UV spectral reflectance studies largely focus on non-crop plants, even though they provide essential information for plant-pollinator interactions. This literature review presents an overview of UV-reflectance in crops, identifies gaps in the literature, and contributes new data based on strawberry cultivars. The study found that most crop spectral reflectance studies relied on lab-based methodologies and examined a wide spectral range (Near UV to IR). Moreover, the plant family distribution largely mirrored global food market trends. Through a spectral comparison of white flowering strawberry cultivars, this study discovered visual differences for pollinators in the Near UV and Blue ranges. The variation in pollinator visibility within strawberry cultivars underscores the importance of considering UV spectral reflectance when developing new crop breeding lines and managing pollinator preferences in agricultural fields.
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- 2024
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73. Network comparison and the within-ensemble graph distance
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Hartle, Harrison, Klein, Brennan, McCabe, Stefan, Daniels, Alexander, St-Onge, Guillaume, Murphy, Charles, and Hébert-Dufresne, Laurent
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Physics - Physics and Society ,Computer Science - Social and Information Networks - Abstract
Quantifying the differences between networks is a challenging and ever-present problem in network science. In recent years a multitude of diverse, ad hoc solutions to this problem have been introduced. Here we propose that simple and well-understood ensembles of random networks (such as Erd\H{o}s-R\'{e}nyi graphs, random geometric graphs, Watts-Strogatz graphs, the configuration model, and preferential attachment networks) are natural benchmarks for network comparison methods. Moreover, we show that the expected distance between two networks independently sampled from a generative model is a useful property that encapsulates many key features of that model. To illustrate our results, we calculate this within-ensemble graph distance and related quantities for classic network models (and several parameterizations thereof) using 20 distance measures commonly used to compare graphs. The within-ensemble graph distance provides a new framework for developers of graph distances to better understand their creations and for practitioners to better choose an appropriate tool for their particular task.
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- 2020
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74. Localization, epidemic transitions, and unpredictability of multistrain epidemics with an underlying genotype network
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Williams, Blake J. M., St-Onge, Guillaume, and Hébert-Dufresne, Laurent
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Quantitative Biology - Populations and Evolution ,Physics - Physics and Society - Abstract
Mathematical disease modelling has long operated under the assumption that any one infectious disease is caused by one transmissible pathogen spreading among a population. This paradigm has been useful in simplifying the biological reality of epidemics and has allowed the modelling community to focus on the complexity of other factors such as population structure and interventions. However, there is an increasing amount of evidence that the strain diversity of pathogens, and their interplay with the host immune system, can play a large role in shaping the dynamics of epidemics. Here, we introduce a disease model with an underlying genotype network to account for two important mechanisms. One, the disease can mutate along network pathways as it spreads in a host population. Two, the genotype network allows us to define a genetic distance across strains and therefore to model the transcendence of immunity often observed in real world pathogens. We study the emergence of epidemics in this model, through its epidemic phase transitions, and highlight the role of the genotype network in driving cyclicity of diseases, large scale fluctuations, sequential epidemic transitions, as well as localization around specific strains of the associated pathogen. More generally, our model illustrates the richness of behaviours that are possible even in well-mixed host populations once we consider strain diversity and go beyond the "one disease equals one pathogen" paradigm.
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- 2020
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75. Detecting structural perturbations from time series with deep learning
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Laurence, Edward, Murphy, Charles, St-Onge, Guillaume, Roy-Pomerleau, Xavier, and Thibeault, Vincent
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Physics - Physics and Society ,Computer Science - Machine Learning ,Statistics - Applications ,Statistics - Machine Learning - Abstract
Small disturbances can trigger functional breakdowns in complex systems. A challenging task is to infer the structural cause of a disturbance in a networked system, soon enough to prevent a catastrophe. We present a graph neural network approach, borrowed from the deep learning paradigm, to infer structural perturbations from functional time series. We show our data-driven approach outperforms typical reconstruction methods while meeting the accuracy of Bayesian inference. We validate the versatility and performance of our approach with epidemic spreading, population dynamics, and neural dynamics, on various network structures: random networks, scale-free networks, 25 real food-web systems, and the C. Elegans connectome. Moreover, we report that our approach is robust to data corruption. This work uncovers a practical avenue to study the resilience of real-world complex systems., Comment: Main paper:10 pages, 5 figures | Supplementary material: 8 pages, 2 figures, 2 tables
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- 2020
76. Threefold way to the dimension reduction of dynamics on networks: an application to synchronization
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Thibeault, Vincent, St-Onge, Guillaume, Dubé, Louis J., and Desrosiers, Patrick
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Nonlinear Sciences - Adaptation and Self-Organizing Systems - Abstract
Several complex systems can be modeled as large networks in which the state of the nodes continuously evolves through interactions among neighboring nodes, forming a high-dimensional nonlinear dynamical system. One of the main challenges of Network Science consists in predicting the impact of network topology and dynamics on the evolution of the states and, especially, on the emergence of collective phenomena, such as synchronization. We address this problem by proposing a Dynamics Approximate Reduction Technique (DART) that maps high-dimensional (complete) dynamics unto low-dimensional (reduced) dynamics while preserving the most salient features, both topological and dynamical, of the original system. DART generalizes recent approaches for dimension reduction by allowing the treatment of complex-valued dynamical variables, heterogeneities in the intrinsic properties of the nodes as well as modular networks with strongly interacting communities. Most importantly, we identify three major reduction procedures whose relative accuracy depends on whether the evolution of the states is mainly determined by the intrinsic dynamics, the degree sequence, or the adjacency matrix. We use phase synchronization of oscillator networks as a benchmark for our threefold method. We successfully predict the synchronization curves for three phase dynamics (Winfree, Kuramoto, theta) on the stochastic block model. Moreover, we obtain the bifurcations of the Kuramoto-Sakaguchi model on the mean stochastic block model with asymmetric blocks and we show numerically the existence of periphery chimera state on the two-star graph. This allows us to highlight the critical role played by the asymmetry of community sizes on the existence of chimera states. Finally, we systematically recover well-known analytical results on explosive synchronization by using DART for the Kuramoto-Sakaguchi model on the star graph., Comment: 28 pages, 14 figures
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- 2020
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77. Master equation analysis of mesoscopic localization in contagion dynamics on higher-order networks
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St-Onge, Guillaume, Thibeault, Vincent, Allard, Antoine, Dubé, Louis J., and Hébert-Dufresne, Laurent
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Physics - Physics and Society ,Nonlinear Sciences - Adaptation and Self-Organizing Systems - Abstract
Simple models of infectious diseases tend to assume random mixing of individuals, but real interactions are not random pairwise encounters: they occur within various types of gatherings such as workplaces, households, schools, and concerts, best described by a higher-order network structure. We model contagions on higher-order networks using group-based approximate master equations, in which we track all states and interactions within a group of nodes and assume a mean-field coupling between them. Using the Susceptible-Infected-Susceptible dynamics, our approach reveals the existence of a mesoscopic localization regime, where a disease can concentrate and self-sustain only around large groups in the network overall organization. In this regime, the phase transition is smeared, characterized by an inhomogeneous activation of the groups. At the mesoscopic level, we observe that the distribution of infected nodes within groups of a same size can be very dispersed, even bimodal. When considering heterogeneous networks, both at the level of nodes and groups, we characterize analytically the region associated with mesoscopic localization in the structural parameter space. We put in perspective this phenomenon with eigenvector localization and discuss how a focus on higher-order structures is needed to discern the more subtle localization at the mesoscopic level. Finally, we discuss how mesoscopic localization affects the response to structural interventions and how this framework could provide important insights for a broad range of dynamics., Comment: 15 pages, 10 figures
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- 2020
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78. Fluctuation dynamo in a weakly collisional plasma
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St-Onge, D. A., Kunz, M. W., Squire, J., and Schekochihin, A. A.
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Astrophysics - High Energy Astrophysical Phenomena ,Physics - Plasma Physics - Abstract
The turbulent amplification of cosmic magnetic fields depends upon the material properties of the host plasma. In many hot, dilute astrophysical systems, such as the intracluster medium (ICM) of galaxy clusters, the rarity of particle--particle collisions allows departures from local thermodynamic equilibrium. These departures exert anisotropic viscous stresses on the plasma motions that inhibit their ability to stretch magnetic-field lines. We present a numerical study of the fluctuation dynamo in a weakly collisional plasma using magnetohydrodynamic (MHD) equations endowed with a field-parallel viscous (Braginskii) stress. When the stress is limited to values consistent with a pressure anisotropy regulated by firehose and mirror instabilities, the Braginskii-MHD dynamo largely resembles its MHD counterpart. If instead the parallel viscous stress is left unabated -- a situation relevant to recent kinetic simulations of the fluctuation dynamo and to the early stages of the dynamo in a magnetized ICM -- the dynamo changes its character, amplifying the magnetic field while exhibiting many characteristics of the saturated state of the large-Prandtl-number (${\rm Pm}\gtrsim{1}$) MHD dynamo. We construct an analytic model for the Braginskii-MHD dynamo in this regime, which successfully matches magnetic-energy spectra. A prediction of this model, confirmed by our simulations, is that a Braginskii-MHD plasma without pressure-anisotropy limiters will not support a dynamo if the ratio of perpendicular and parallel viscosities is too small. This ratio reflects the relative allowed rates of field-line stretching and mixing, the latter of which promotes resistive dissipation of the magnetic field. In all cases that do exhibit a dynamo, the generated magnetic field is organized into folds that persist into the saturated state and bias the chaotic flow to acquire a scale-dependent spectral anisotropy., Comment: 62 pages, 25 figures, 1 table, accepted for publication to Journal of Plasma Physics
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- 2020
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79. Social confinement and mesoscopic localization of epidemics on networks
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St-Onge, Guillaume, Thibeault, Vincent, Allard, Antoine, Dubé, Louis J., and Hébert-Dufresne, Laurent
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Physics - Physics and Society ,Nonlinear Sciences - Adaptation and Self-Organizing Systems - Abstract
Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most models lack the higher-order structure necessary to describe large gatherings. Through a higher-order description of contagions on networks, we model the impact of a blanket cancellation of events larger than a critical size and find that epidemics can suddenly collapse when interventions operate over groups of individuals rather than at the level of individuals. We relate this phenomenon to the onset of mesoscopic localization, where contagions concentrate around dominant groups., Comment: 5 pages, 4 figures
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- 2020
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80. Indigenous leadership in creating a protected area: The Akumunan Biodiversity Reserve (Canada)
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Rosalie Champagne-Côté, Jean-Michel Beaudoin, Louis Bélanger, Marc St-Onge, Hugo Asselin, and Pauline Suffice
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Indigenous peoples ,Conservation ,Protected area ,Governance ,Traditional knowledge ,Ecology ,QH540-549.5 - Abstract
Conservation initiatives led by Indigenous peoples are a relatively recent phenomenon gaining momentum around the world. Initiatives to establish Indigenous protected areas are also taking root in Canada. We studied the Akumunan Biodiversity Reserve (ABR) in the province of Quebec to assess (1) the approach followed by the Essipit Innu First Nation (EIFN) Band Council to implement the ABR; (2) the EIFN’s vision that led to the creation of the ABR; and (3) the role the EIFN would like to play in the governance of the ABR. Six focus groups conducted with 22 community members have shown that the process which led to the creation of the ABR was fraught with challenges. The EIFN’s vision for the ABR is holistic — “everything” must be protected to respect the memory of the Elders and ensure natural resource sustainability. To ensure the respect of this vision, the community wants to play a leading role in governing the ABR. The EIFN faced many challenges, notably administrative hurdles, opposition due to cultural and value differences, lack of long-term funding, and disregard for the relationship that Indigenous people have with the land. Respecting EIFN’s vision also demands that traditional activities on the land be allowed to continue in protected areas, in order to guarantee that the identity, culture, health, and well-being of current and future generations will be maintained. The community management model developed by the EIFN Band Council provides useful insights on the process leading to the acknowledgement of the Indigenous Protected and Conserved Area status. Moreover, it could be a source of inspiration for other Indigenous conservation projects.
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- 2023
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81. Fluctuation Dynamo in Collisionless and Weakly Collisional Magnetized Plasmas
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St-Onge, Denis A.
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Physics - Plasma Physics ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
In weakly collisional astrophysical plasmas, such as the intracluster medium of galaxy clusters, the amplification of cosmic magnetic fields by chaotic fluid motions is hampered by the adiabatic production of magnetic-field-aligned pressure anisotropy. This anisotropy drives a viscous stress parallel to the field that inhibits the plasma's ability to stretch magnetic-field lines. I demonstrate through the use of kinetic simulations that in high-$\beta$ plasmas, kinetic ion-Larmor scale instabilities sever the adiabatic link between the thermal and magnetic pressures, reducing this viscous stress and thereby allowing the dynamo to operate. Two distinct regimes of the fluctuation dynamo in a magnetized plasma are identified: one in which these instabilities efficiently regulate the pressure anisotropy and one in which this regulation is imperfect. I elucidate the role of these kinetic instabilities on the plasma viscosity and determine how the fields and flows self-organize to allow the dynamo to operate in the face of parallel viscous stresses. In the case of efficient pressure-anisotropy regulation, the plasma dynamo closely resembles its more traditional Pm ~ 1 MHD counterpart. When the regulation is imperfect, the dynamo exhibits characteristics remarkably similar to those found in the saturated state of the MHD dynamo. A novel set of microphysical closures for fluid simulations that bridges these two regimes are constructed, exhibiting explosive magnetic-field growth caused by a field-strength-dependent viscosity. The dynamos in both collisionless and weakly collisional plasmas are then closely compared to each other, revealing substantial differences in how sub-parallel viscous motions behave. The former (collisionless) scenario experiences a cascade of stretching motions to sub-Larmor scales that lead to increasingly fast dynamo as the magnetic Reynolds number is increased., Comment: PhD thesis
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- 2019
82. COVID-19 as the Tipping Point for Integrating E-Assessment in Higher Education Practices
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St-Onge, Christina, Ouellet, Kathleen, Lakhal, Sawsen, Dubé, Tim, and Marceau, Mélanie
- Abstract
The COVID-19 pandemic provoked an urgency for many educators to integrate digital information and communication technologies in their educational practices. We explored how faculty members tackled the task of adapting their assessment practices during the pandemic to identify what is required to sustain and favour future quality development and implementation of e-assessment in higher education. Employing a qualitative descriptive approach, we conducted semi-structured interviews with thirty-one individuals six months into the COVID-19 pandemic. We identified four major themes in participants' discourse about the integration of e-assessment during the COVID-19 pandemic: (a) the considerations they had for the potential consequences on students and how they considered this while deciding how to move forward, (b) the preoccupations for the potential for cheating, (c) the importance of pedagogical alignment, and (d) the affordances available to them. While the COVID-19 pandemic highlighted the fact that higher education institutions were not prepared for a pivot to- or greater integration of- e-assessment, it also provided the tipping-point to do so. In other words, it offered an unprecedented opportunity to critically appraise and change assessment practices, this opportunity was also a very challenging balancing act of considering the social consequences of assessment, and the alignment within set affordances.
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- 2022
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83. Factors Affecting Perceived Credibility of Assessment in Medical Education: A Scoping Review
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Long, Stephanie, Rodriguez, Charo, St-Onge, Christina, Tellier, Pierre-Paul, Torabi, Nazi, and Young, Meredith
- Abstract
Assessment is more educationally effective when learners engage with assessment processes and perceive the feedback received as credible. With the goal of optimizing the educational value of assessment in medical education, we mapped the primary literature to identify factors that may affect a learner's perceptions of the credibility of assessment and assessment-generated feedback (i.e., scores or narrative comments). For this scoping review, search strategies were developed and executed in five databases. Eligible articles were primary research studies with medical learners (i.e., medical students to post-graduate fellows) as the focal population, discussed assessment of individual learners, and reported on perceived credibility in the context of assessment or assessment-generated feedback. We identified 4705 articles published between 2000 and November 16, 2020. Abstracts were screened by two reviewers; disagreements were adjudicated by a third reviewer. Full-text review resulted in 80 articles included in this synthesis. We identified three sets of intertwined factors that affect learners' perceived credibility of assessment and assessment-generated feedback: (i) elements of an assessment process, (ii) learners' level of training, and (iii) context of medical education. Medical learners make judgments regarding the credibility of assessments and assessment-generated feedback, which are influenced by a variety of individual, process, and contextual factors. Judgments of credibility appear to influence what information will or will not be used to improve later performance. For assessment to be educationally valuable, design and use of assessment-generated feedback should consider how learners interpret, use, or discount assessment-generated feedback.
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- 2022
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84. Go Red for Women Strategically Focused Research Network: Summary of Findings and Network Outcomes
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St‐Onge, Marie‐Pierre, Aggarwal, Brooke, Allison, Matthew A, Berger, Jeffrey S, Castañeda, Sheila F, Catov, Janet, Hochman, Judith S, Hubel, Carl A, Jelic, Sanja, Kass, David A, Makarem, Nour, Michos, Erin D, Mosca, Lori, Ouyang, Pamela, Park, Chorong, Post, Wendy S, Powers, Robert W, Reynolds, Harmony R, Sears, Dorothy D, Shah, Sanjiv J, Sharma, Kavita, Spruill, Tanya, Talavera, Gregory A, and Vaidya, Dhananjay
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Cardiovascular ,Aging ,Prevention ,Clinical Research ,Behavioral and Social Science ,Heart Disease ,Heart Disease - Coronary Heart Disease ,American Heart Association ,Biomedical Research ,Cardiovascular Diseases ,Female ,Humans ,Morbidity ,Risk Assessment ,Risk Factors ,United States ,Women's Health ,health outcomes ,heart failure ,myocardial infarction ,pregnancy ,sedentary behavior ,sleep ,stress ,Cardiorespiratory Medicine and Haematology ,Cardiovascular medicine and haematology - Abstract
The Go Red for Women movement was initiated by the American Heart Association (AHA) in the early 2000s to raise awareness concerning cardiovascular disease (CVD) risk in women. In 2016, the AHA funded 5 research centers across the United States to advance our knowledge of the risks and presentation of CVD that are specific to women. This report highlights the findings of the centers, showing how insufficient sleep, sedentariness, and pregnancy-related complications may increase CVD risk in women, as well as presentation and factors associated with myocardial infarction with nonobstructive coronary arteries and heart failure with preserved ejection fraction in women. These projects were augmented by collaborative ancillary studies assessing the relationships between various lifestyle behaviors, including nightly fasting duration, mindfulness, and behavioral and anthropometric risk factors and CVD risk, as well as metabolomic profiling of heart failure with preserved ejection fraction in women. The Go Red for Women Strategically Focused Research Network enhanced the evidence base related to heart disease in women, promoting awareness of the female-specific factors that influence CVD.
- Published
- 2021
85. Considering the Structured Oral Examinations Beyond Its Psychometrics Properties
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Boulais, Isabelle, Ouellet, Kathleen, Lachiver, Elise Vachon, Marceau, Mélanie, Bergeron, Linda, Bernier, Frédéric, and St-Onge, Christina
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- 2023
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86. Harnessing a knowledge translation framework to implement an undergraduate medical education intervention: A longitudinal study
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Chamberland, Martine, Setrakian, Jean, Bergeron, Linda, Varpio, Lara, St-Onge, Christina, and Thomas, Aliki
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- 2022
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87. Examining the Influence of Cognitive Load and Environmental Conditions on Autonomic Nervous System Response in Military Aircrew: A Hypoxia–Normoxia Study
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Harrison L. Wittels, S. Howard Wittels, Michael J. Wishon, Jonathan Vogl, Paul St. Onge, Samantha M. McDonald, and Leonard A. Temme
- Subjects
cognitive load ,military ,hypoxia ,normoxia ,autonomic nervous system ,sympathetic drive ,Biology (General) ,QH301-705.5 - Abstract
Executing flight operations demand that military personnel continuously perform tasks that utilize low- and high-order cognitive functions. The autonomic nervous system (ANS) is crucial for regulating the supply of oxygen (O2) to the brain, but it is unclear how sustained cognitive loads of different complexities may affect this regulation. Therefore, in the current study, ANS responses to low and high cognitive loads in hypoxic and normoxic conditions were evaluated. The present analysis used data from a previously conducted, two-factor experimental design. Healthy subjects (n = 24) aged 19 to 45 years and located near Fort Novosel, AL, participated in the parent study. Over two, 2-h trials, subjects were exposed to hypoxic (14.0% O2) and normoxic (21.0% O2) air while simultaneously performing one, 15-min and one, 10-min simulation incorporating low- and high-cognitive aviation-related tasks, respectively. The tests were alternated across five, 27-min epochs; however, only epochs 2 through 4 were used in the analyses. Heart rate (HR), HR variability (HRV), and arterial O2 saturation were continuously measured using the Warfighter MonitorTM (Tiger Tech Solutions, Inc., Miami, FL, USA), a previously validated armband device equipped with electrocardiographic and pulse oximetry capabilities. Analysis of variance (ANOVA) regression models were performed to compare ANS responses between the low- and high-cognitive-load assessments under hypoxic and normoxic conditions. Pairwise comparisons corrected for familywise error were performed using Tukey’s test within and between high and low cognitive loads under each environmental condition. Across epochs 2 through 4, in both the hypoxic condition and the normoxic condition, the high-cognitive-load assessment (MATB-II) elicited heightened ANS activity, reflected by increased HR (+2.4 ± 6.9 bpm) and decreased HRV (−rMSSD: −0.4 ± 2.7 ms and SDNN: −13.6 ± 14.6 ms). Conversely, low cognitive load (ADVT) induced an improvement in ANS activity, with reduced HR (−2.6 ± 6.3 bpm) and increased HRV (rMSSD: +1.8 ± 6.0 ms and SDNN: vs. +0.7 ± 6.3 ms). Similar observations were found for the normoxic condition, albeit to a lower degree. These within-group ANS responses were significantly different between high and low cognitive loads (HR: +5.0 bpm, 95% CI: 2.1, 7.9, p < 0.0001; rMSSD: −2.2 ms, 95% CI: −4.2, −0.2, p = 0.03; SDNN: −14.3 ms, 95% CI: −18.4, −10.1, p < 0.0001) under the hypoxic condition. For normoxia, significant differences in ANS response were only observed for HR (+4.3 bpm, 95% CI: 1.2, 7.4, p = 0.002). Lastly, only high cognitive loads elicited significant differences between hypoxic and normoxic conditions but just for SDNN (−13.3 ms, 95% CI, −17.5, −8.9, p < 0.0001). Our study observations suggest that compared to low cognitive loads, performing high-cognitive-load tasks significantly alters ANS activity, especially under hypoxic conditions. Accounting for this response is critical, as military personnel during flight operations sustain exposure to high cognitive loads of unpredictable duration and frequency. Additionally, this is likely compounded by the increased ANS activity consequent to pre-flight activities and anticipation of combat-related outcomes.
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- 2024
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88. Diet and Meal Pattern Determinants of Glucose Levels and Variability in Adults with and without Prediabetes or Early-Onset Type 2 Diabetes: A Pilot Study
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Leinys S. Santos-Báez, Diana A. Díaz-Rizzolo, Collin J. Popp, Delaney Shaw, Keenan S. Fine, Annemarie Altomare, Marie-Pierre St-Onge, Emily N. C. Manoogian, Satchidananda Panda, Bin Cheng, and Blandine Laferrère
- Subjects
continuous glucose monitoring ,diet composition ,meal timing ,normoglycemic ,dysglycemic ,Nutrition. Foods and food supply ,TX341-641 - Abstract
This observational pilot study examined the association between diet, meal pattern and glucose over a 2-week period under free-living conditions in 26 adults with dysglycemia (D-GLYC) and 14 with normoglycemia (N-GLYC). We hypothesized that a prolonged eating window and late eating occasions (EOs), along with a higher dietary carbohydrate intake, would result in higher glucose levels and glucose variability (GV). General linear models were run with meal timing with time-stamped photographs in real time, and diet composition by dietary recalls, and their variability (SD), as predictors and glucose variables (mean glucose, mean amplitude of glucose excursions [MAGE], largest amplitude of glucose excursions [LAGE] and GV) as dependent variables. After adjusting for calories and nutrients, a later eating midpoint predicted a lower GV (β = −2.3, SE = 1.0, p = 0.03) in D-GLYC, while a later last EO predicted a higher GV (β = 1.5, SE = 0.6, p = 0.04) in N-GLYC. A higher carbohydrate intake predicted a higher MAGE (β = 0.9, SE = 0.4, p = 0.02) and GV (β = 0.4, SE = 0.2, p = 0.04) in N-GLYC, but not D-GLYC. In summary, our data suggest that meal patterns interact with dietary composition and should be evaluated as potential modifiable determinants of glucose in adults with and without dysglycemia. Future research should evaluate causality with controlled diets.
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- 2024
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89. Paradoxical Effects of Prolonged Insufficient Sleep on Lipid Profile: A Pooled Analysis of 2 Randomized Trials
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Rocío Barragán, Faris M. Zuraikat, Bin Cheng, Samantha E. Scaccia, Justin Cochran, Brooke Aggarwal, Sanja Jelic, and Marie‐Pierre St‐Onge
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clinical trial ,inflammation ,insufficient sleep ,lipid profile ,sleep ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background Insufficient sleep is associated with increased cardiovascular disease risk, but causality is unclear. We investigated the impact of prolonged mild sleep restriction (SR) on lipid and inflammatory profiles. Methods and Results Seventy‐eight participants (56 women [12 postmenopausal]; age, 34.3±12.5 years; body mass index, 25.8±3.5 kg/m2) with habitual sleep duration 7 to 9 h/night (adequate sleep [AS]) underwent two 6‐week conditions in a randomized crossover design: AS versus SR (AS–1.5 h/night). Total cholesterol, low‐density lipoprotein cholesterol (LDL‐C), high‐density lipoprotein cholesterol, triglycerides, and inflammatory markers (CRP [C‐reactive protein], interleukin 6, and tumor necrosis factor‐α) were assessed. Linear models tested effects of SR on outcomes in the full sample and by sex+menopausal status (premenopausal versus postmenopausal women+men). In the full sample, SR increased high‐density lipoprotein cholesterol compared with AS (β=1.2±0.5 mg/dL; P=0.03). Sex+menopausal status influenced the effects of SR on change in total cholesterol (P‐interaction=0.04), LDL‐C (P‐interaction=0.03), and interleukin 6 (P‐interaction=0.07). Total cholesterol and LDL‐C decreased in SR versus AS in premenopausal women (total cholesterol: β=−4.2±1.9 mg/dL; P=0.03; LDL‐C: β=−6.3±2.0 mg/dL; P=0.002). Given paradoxical effects of SR on cholesterol concentrations, we explored associations between changes in inflammation and end point lipids under each condition. Increases in interleukin 6 and tumor necrosis factor‐α during SR tended to relate to lower LDL‐C in premenopausal women (interleukin 6: β=−5.3±2.6 mg/dL; P=0.051; tumor necrosis factor‐α: β=−32.8±14.2 mg/dL; P=0.027). Conclusions Among healthy adults, prolonged insufficient sleep does not increase atherogenic lipids. However, increased inflammation in SR tends to predict lower LDL‐C in premenopausal women, resembling the “lipid paradox” in which low cholesterol associates with increased cardiovascular disease risk in proinflammatory conditions. Registration URL: https://www.clinicaltrials.gov; Unique identifiers: NCT02835261, NCT02960776.
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- 2023
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90. Inference for growing trees
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Cantwell, George T., St-Onge, Guillaume, and Young, Jean-Gabriel
- Subjects
Computer Science - Social and Information Networks ,Physics - Physics and Society - Abstract
One can often make inferences about a growing network from its current state alone. For example, it is generally possible to determine how a network changed over time or pick among plausible mechanisms explaining its growth. In practice, however, the extent to which such problems can be solved is limited by existing techniques, which are often inexact, inefficient, or both. In this article we derive exact and efficient inference methods for growing trees and demonstrate them in a series of applications: network interpolation, history reconstruction, model fitting, and model selection.
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- 2019
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91. Swarm Relays: Distributed Self-Healing Ground-and-Air Connectivity Chains
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Varadharajan, Vivek Shankar, St-Onge, David, Adams, Bram, and Beltrame, Giovanni
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Computer Science - Robotics - Abstract
The coordination of robot swarms - large decentralized teams of robots - generally relies on robust and efficient inter-robot communication. Maintaining communication between robots is particularly challenging in field deployments. Unstructured environments, limited computational resources, low bandwidth, and robot failures all contribute to the complexity of connectivity maintenance. In this paper, we propose a novel lightweight algorithm to navigate a group of robots in complex environments while maintaining connectivity by building a chain of robots. The algorithm is robust to single robot failures and can heal broken communication links. The algorithm works in 3D environments: when a region is unreachable by wheeled robots, the chain is extended with flying robots. We test the performance of the algorithm using up to 100 robots in a physics-based simulator with three mazes and different robot failure scenarios. We then validate the algorithm with physical platforms: 7 wheeled robots and 6 flying ones, in homogeneous and heterogeneous scenarios., Comment: 9 pages, 8 figures, Accepted for publication in Robotics and Automation Letters (RAL)
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- 2019
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92. Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
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Panerati, Jacopo, Ramtoula, Benjamin, St-Onge, David, Cao, Yanjun, Kaufmann, Marcel, Cowley, Aidan, Sabattini, Lorenzo, and Beltrame, Giovanni
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Computer Science - Robotics ,Computer Science - Multiagent Systems ,C.2.4 ,C.4 ,I.2.9 - Abstract
Redundancy and parallelism make decentralized multi-robot systems appealing solutions for the exploration of extreme environments. However, effective cooperation often requires team-wide connectivity and a carefully designed communication strategy. Several recently proposed decentralized connectivity maintenance approaches exploit elegant algebraic results drawn from spectral graph theory. Yet, these proposals are rarely taken beyond simulations or laboratory implementations. In this work, we present two major contributions: (i) we describe the full-stack implementation---from hardware to software---of a decentralized control law for robust connectivity maintenance; and (ii) we assess, in the field, our setup's ability to correctly exchange all the necessary information required to maintain connectivity in a team of quadcopters., Comment: 7 pages, 7 figures
- Published
- 2019
93. Collaborative Localization and Tracking with Minimal Infrastructure
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Cao, Yanjun, St-Onge, David, Zell, Andreas, and Beltrame, Giovanni
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Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Robotics - Abstract
Localization and tracking are two very active areas of research for robotics, automation, and the Internet-of-Things. Accurate tracking for a large number of devices usually requires deployment of substantial infrastructure (infrared tracking systems, cameras, wireless antennas, etc.), which is not ideal for inaccessible or protected environments. This paper stems from the challenge posed such environments: cover a large number of units spread over a large number of small rooms, with minimal required localization infrastructure. The idea is to accurately track the position of handheld devices or mobile robots, without interfering with its architecture. Using Ultra-Wide Band (UWB) devices, we leveraged our expertise in distributed and collaborative robotic systems to develop an novel solution requiring a minimal number of fixed anchors. We discuss a strategy to share the UWB network together with an Extended Kalman filter derivation to collaboratively locate and track UWB-equipped devices, and show results from our experimental campaign tracking visitors in the Chambord castle in France., Comment: This paper is submitted to IROS2019
- Published
- 2019
94. Thresholding normally distributed data creates complex networks
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Cantwell, George T., Liu, Yanchen, Maier, Benjamin F., Schwarze, Alice C., Serván, Carlos A., Snyder, Jordan, and St-Onge, Guillaume
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Computer Science - Social and Information Networks ,Physics - Physics and Society - Abstract
Network data sets are often constructed by some kind of thresholding procedure. The resulting networks frequently possess properties such as heavy-tailed degree distributions, clustering, large connected components and short average shortest path lengths. These properties are considered typical of complex networks and appear in many contexts, prompting consideration of their universality. Here we introduce a simple model for correlated relational data and study the network ensemble obtained by thresholding it. We find that some, but not all, of the properties associated with complex networks can be seen after thresholding the correlated data, even though the underlying data are not "complex". In particular, we observe heavy-tailed degree distributions, a large numbers of triangles, and short path lengths, while we do not observe non-vanishing clustering or community structure., Comment: incorporated referees' suggestions; to be published in Phys. Rev. E
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- 2019
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95. Total Variation and Mean Curvature PDEs on $\mathbb{R}^d \rtimes S^{d-1}$
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Duits, Remco, St-Onge, Etienne, Portegies, Jim, and Smets, Bart
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Mathematics - Analysis of PDEs ,Mathematics - Differential Geometry - Abstract
Total variation regularization and total variation flows (TVF) have been widely applied for image enhancement and denoising. To include a generic preservation of crossing curvilinear structures in TVF we lift images to the homogeneous space $M = \mathbb{R}^d \rtimes S^{d-1}$ of positions and orientations as a Lie group quotient in SE(d). For d = 2 this is called 'total roto-translation variation' by Chambolle & Pock. We extend this to d = 3, by a PDE-approach with a limiting procedure for which we prove convergence. We also include a Mean Curvature Flow (MCF) in our PDE model on M. This was first proposed for d = 2 by Citti et al. and we extend this to d = 3. Furthermore, for d = 2 we take advantage of locally optimal differential frames in invertible orientation scores (OS). We apply our TVF and MCF in the denoising/enhancement of crossing fiber bundles in DW-MRI. In comparison to data-driven diffusions, we see a better preservation of bundle boundaries and angular sharpness in fiber orientation densities at crossings. We support this by error comparisons on a noisy DW-MRI phantom. We also apply our TVF and MCF in enhancement of crossing elongated structures in 2D images via OS, and compare the results to nonlinear diffusions (CED-OS) via OS., Comment: Submission to the Seventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2019). (v2) Typo correction in lemma 1. (v3) Typo correction last paragraph page 9
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- 2019
96. High glycemic index and glycemic load diets as risk factors for insomnia: analyses from the Women’s Health Initiative
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Gangwisch, James E, Hale, Lauren, St-Onge, Marie-Pierre, Choi, Lydia, LeBlanc, Erin S, Malaspina, Dolores, Opler, Mark G, Shadyab, Aladdin H, Shikany, James M, Snetselaar, Linda, Zaslavsky, Oleg, and Lane, Dorothy
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Clinical Research ,Nutrition ,Prevention ,Aged ,Cohort Studies ,Cross-Sectional Studies ,Diet ,Female ,Glycemic Index ,Glycemic Load ,Humans ,Middle Aged ,Prospective Studies ,Sleep Initiation and Maintenance Disorders ,Women's Health ,insomnia ,glycemic index ,glycemic load ,epidemiology ,postmenopausal women ,Engineering ,Medical and Health Sciences ,Nutrition & Dietetics - Abstract
BackgroundPrevious studies have shown mixed results on the association between carbohydrate intake and insomnia. However, any influence that refined carbohydrates have on risk of insomnia is likely commensurate with their relative contribution to the overall diet, so studies are needed that measure overall dietary glycemic index (GI), glycemic load, and intakes of specific types of carbohydrates.ObjectiveWe hypothesized that higher GI and glycemic load would be associated with greater odds of insomnia prevalence and incidence.MethodsThis was a prospective cohort study with postmenopausal women who participated in the Women's Health Initiative Observational Study, investigating the relations of GI, glycemic load, other carbohydrate measures (added sugars, starch, total carbohydrate), dietary fiber, and specific carbohydrate-containing foods (whole grains, nonwhole/refined grains, nonjuice fruits, vegetables, dairy products) with odds of insomnia at baseline (between 1994 and 1998; n = 77,860) and after 3 y of follow-up (between 1997 and 2001; n = 53,069).ResultsIn cross-sectional and longitudinal analyses, higher dietary GI was associated with increasing odds of prevalent (fifth compared with first quintile OR: 1.11; CI: 1.05, 1.16; P-trend = 0.0014) and incident (fifth compared with first quintile OR: 1.16; CI: 1.08, 1.25; P-trend
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- 2020
97. Habitual Nightly Fasting Duration, Eating Timing, and Eating Frequency are Associated with Cardiometabolic Risk in Women
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Makarem, Nour, Sears, Dorothy D, St-Onge, Marie-Pierre, Zuraikat, Faris M, Gallo, Linda C, Talavera, Gregory A, Castaneda, Sheila F, Lai, Yue, Mi, Junhui, and Aggarwal, Brooke
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Public Health ,Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Health Sciences ,Clinical Research ,Nutrition ,Cardiovascular ,Adult ,Blood Pressure ,Cardiometabolic Risk Factors ,Cardiovascular Diseases ,Circadian Rhythm ,Cross-Sectional Studies ,Energy Intake ,Fasting ,Feeding Behavior ,Female ,Humans ,Prospective Studies ,Time Factors ,United States ,Waist Circumference ,nightly fasting duration ,circadian ,eating timing ,eating frequency ,cardiometabolic risk ,diabetes ,cancer ,cardiovascular health ,women ,Food Sciences ,Clinical sciences ,Nutrition and dietetics ,Public health - Abstract
Nightly fasting duration (NFD) and eating timing and frequency may influence cardiometabolic health via their impact on circadian rhythms, which are entrained by food intake, but observational studies are limited. This 1-year prospective study of 116 US women (33 ± 12y, 45% Hispanic) investigated associations of habitual NFD and eating timing and frequency with cardiovascular health (CVH; American Heart Association Life's Simple 7 score) and cardiometabolic risk factors. NFD, eating timing and frequency, and nighttime eating levels were evaluated from 1-week electronic food records completed at baseline and 1 y. In multivariable-adjusted linear regression models, longer NFD was associated with poorer CVH (β = -0.22, p = 0.016 and β = -0.22, p = 0.050) and higher diastolic blood pressure (DBP) (β = 1.08, p < 0.01 and β = 1.74, p < 0.01) in cross-sectional and prospective analyses, respectively. Later timing of the first eating occasion at baseline was associated with poorer CVH (β = -0.20, p = 0.013) and higher DBP (β = 1.18, p < 0.01) and fasting glucose (β = 1.43, p = 0.045) at 1 y. After adjustment for baseline outcomes, longer NFD and later eating times were also associated with higher waist circumference (β = 0.35, p = 0.021 and β = 0.27, p < 0.01, respectively). Eating frequency was inversely related to DBP in cross-sectional (β = -1.94, p = 0.033) and prospective analyses (β = -3.37, p < 0.01). In cross-sectional analyses of baseline data and prospective analyses, a higher percentage of daily calories consumed at the largest evening meal was associated with higher DBP (β = 1.69, p = 0.046 and β = 2.32, p = 0.029, respectively). Findings suggest that frequent and earlier eating may lower cardiometabolic risk, while longer NFD may have adverse effects. Results warrant confirmation in larger multi-ethnic cohort studies with longer follow-up periods.
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- 2020
98. RNA disruption is a widespread phenomenon associated with stress-induced cell death in tumour cells
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Phillipe Butler, Isabella Pascheto, Michayla Lizzi, Renée St-Onge, Carita Lanner, Baoqing Guo, Twinkle Masilamani, Laura B. Pritzker, A. Thomas Kovala, and Amadeo M. Parissenti
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Medicine ,Science - Abstract
Abstract We have previously shown that neoadjuvant chemotherapy can induce the degradation of tumour ribosomal RNA (rRNA) in patients with advanced breast cancer, a phenomenon we termed “RNA disruption”. Extensive tumour RNA disruption during chemotherapy was associated with a post-treatment pathological complete response and improved disease-free survival. The RNA disruption assay (RDA), which quantifies this phenomenon, is now being evaluated for its clinical utility in a large multinational clinical trial. However, it remains unclear if RNA disruption (i) is manifested across many tumour and non-tumour cell types, (ii) can occur in response to cell stress, and (iii) is associated with tumour cell death. In this study, we show that RNA disruption is induced by several mechanistically distinct chemotherapy agents and report that this phenomenon is observed in response to oxidative stress, endoplasmic reticulum (ER) stress, protein translation inhibition and nutrient/growth factor limitation. We further show that RNA disruption is dose- and time-dependent, and occurs in both tumourigenic and non-tumourigenic cell types. Northern blotting experiments suggest that the rRNA fragments generated during RNA disruption stem (at least in part) from the 28S rRNA. Moreover, we demonstrate that RNA disruption is reproducibly associated with three robust biomarkers of cell death: strongly reduced cell numbers, lost cell replicative capacity, and the generation of cells with a subG1 DNA content. Thus, our findings indicate that RNA disruption is a widespread phenomenon exhibited in mammalian cells under stress, and that high RNA disruption is associated with the onset of cell death.
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- 2023
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99. OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases
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Gabriel Sturm, Kalpita R. Karan, Anna S. Monzel, Balaji Santhanam, Tanja Taivassalo, Céline Bris, Sarah A. Ware, Marissa Cross, Atif Towheed, Albert Higgins-Chen, Meagan J. McManus, Andres Cardenas, Jue Lin, Elissa S. Epel, Shamima Rahman, John Vissing, Bruno Grassi, Morgan Levine, Steve Horvath, Ronald G. Haller, Guy Lenaers, Douglas C. Wallace, Marie-Pierre St-Onge, Saeed Tavazoie, Vincent Procaccio, Brett A. Kaufman, Erin L. Seifert, Michio Hirano, and Martin Picard
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Biology (General) ,QH301-705.5 - Abstract
A meta-analysis of 17 cohorts of mitochondrial disease patients reveals that OxPhos defects are associated with signs of hypermetabolism. Experiments in patient-derived fibroblast show that mitochondrial OxPhos defects trigger hypermetabolism in a cell-autonomous manner and this is linked to accelerated telomere shortening and epigenetic aging.
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- 2023
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100. Fast Streamline Search: An Exact Technique for Diffusion MRI Tractography
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St-Onge, Etienne, Garyfallidis, Eleftherios, and Collins, D. Louis
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- 2022
- Full Text
- View/download PDF
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