Portail des publications scientifiques IMT Mines Alès
Not a member yet
5198 research outputs found
Sort by
Vers l'estimation des propriétés de surface de fibres et de polymères dans les conditions d'élaboration de composites
No full textNational audienceLes propriétés de surface et le comportement en mouillage des polymères sur les fibres nécessitent d'être étudiéspour comprendre comment les interfaces se génèrent lors de l'élaboration des composites. Dans cette étude lestensions de surface de différents liquides et polymères ont été obtenues en différentes conditions de températurevia deux méthodes (la lame de Wilhelmy et la goutte pendante). Les deux protocoles ont été validés et une allurelinéaire de diminution de la tension de surface en fonction de la température a été observée pour tout liquideet polymère. Les composantes dispersives et polaires ont également été obtenues à température ambiante via lamesure d'une tension interfaciale liquide-liquide utilisant les deux méthodes. Afin d'obtenir ces composantes enfonction de la température, un liquide totalement dispersif remplaçant le n-hexane doit être utilisé. Le mouillagedynamique de fibres en variant la vitesse des liquides a été aussi étudié et les résultats seront montrés lors del'exposé
Disaster preparedness and resilience for hospitals: lessons learned from the COVID-19 pandemic
No full textInternational audienceHospital disaster preparedness and resilience are crucial in managing disasters, especially the vulnerabilities of hospitals across the globe revealed by the COVID-19 pandemic, highlighting the need for a robust framework to handle future disasters effectively. This research carries out a comprehensive literature review to identify major weaknesses in current hospital disaster preparedness and resilience strategies and proposes a comprehensive framework to enhance hospital resilience in Lagos state hospitals, Nigeria.In relation to the existing studies reviewed, key themes were used as an assessment tool: they include the 4S domains, namely, Staff, Stuff, Space and Systems. The proposed framework is centered around six building blocks which includes, governance and leadership, financial stability, workforce competency, flexibility in healthcare delivery, local-level preparedness tools and continuous learning to ensure that hospitals can respond and recover from disaster effectively. By drawing lessons from the COVID-19 pandemic and analyzing comparative studies, this research provides a framework that can help build resilient hospitals capable of adapting to dynamic situations
Evaluation of the Performances of a Biofilm-Based Passive Sampler to Monitor Micropollutants in Wastewater
No full textInternational audiencePassive samplers (PS) are powerful tools for monitoring micropollutants due to their ability to accumulatethem over weeks or months, providing great time-representativeness. Additionally, they enable to achievelower detection limits compared to traditional methods like grab or composite sampling.However, in wastewater this sampling method faces the constraint of biofouling, which hampers thetransfer of micropollutants from water to the receiving phase. This work aims to investigate an innovativePS, the Prebio cell STEP, that uses the biofilm as a receiving phase, and thus turns biofouling into anadvantage.The operating conditions of the Prebio cell STEP were defined, through the kinetic study of biofilmgrowth, and accumulation of targeted micropollutants over several months in influents and effluents of anurban wastewater treatment plant (WWTP), to determine the optimal deployment duration of this sampler.In parallel, the performances of the Prebio cell STEP were compared with conventional 24h watercomposite sampling regarding the detection of the same micropollutants targeted for the kinetic study, andnumber of compounds detected by suspect and non -target screenings using LC/HRMS analysis.First results showed major differences in appearance of biofilm, and growth kinetics between WWTPinfluents and effluents which could be explained in relation with the various complexity of these watermatrices.Chemical analysis of the biofilm revealed the ability of the biofilm to capture micropollutants present inthe wastewater samples. The kinetic of accumulation of some of these micropollutants in the biofilm willbe presented (metals, alkylphenols, polycyclic aromatic hydrocarbons). Moreover, LC/HRMS suspect andnon-target screening highligthed the presence of a variety of micropollutants in the biofilm, includingsome not detected in wastewater composite samples
Analysis of the Prediction when Calculating the Evaporation Rate of an Accidental Liquid Spill during Long Time
No full textInternational audienc
A New Way to Treat Central Nervous System Dysfunction Caused by Musculoskeletal Injuries Using Transcranial Direct Current Stimulation: A Narrative Review
No full textInternational audienceBackground: Musculoskeletal injuries can have far-reaching consequences on brain function, leading to reduced motor control, altered movement patterns, increased inhibition of the injured muscle and joint, and changes in neuroplasticity. These deficits, controlled in part by the central nervous system (CNS), might be alleviated with an appropriate adjuvant treatment. One possibly suited treatment at the CNS level is transcranial direct current stimulation (tDCS), which modulates cortical excitability and further neuroplasticity. Objectives: The present review outlines the multifaceted repercussions of common musculo-skeletal injuries on CNS functions and presents original studies that mostly report beneficial effects regarding the use of the tDCS intervention in people who had experienced musculoskeletal injury rehabilitation. Results: The first evidence suggests that tDCS, targeting brain areas responsible for motor control or on sensory and pain-related brain regions, may offer significant benefits in the recovery of brain function and motor performance following musculoskeletal injuries. Key findings include enhanced motor function, altered CNS excitability and inhibition, and reduced pain perception, all contributing to improved rehabilitation outcomes. However, the paucity of studies and the heterogeneity of injuries render it challenging to ascertain the optimal treatment parameters. Furthermore, the variability regarding stimulation parameters is a crucial aspect that remains to be addressed and limits the possibility of generalizing these first findings. Conclusions: It is concluded that well-powered trials with standardized protocols should be conducted to confirm these effects and establish clear clinical guidelines for the use of tDCS in sports injury rehabilitation
Almost, but not quite there: Research into the emergence of higher-order motivated behavior should fully embrace the dynamic systems approach
No full textInternational audienceAbstract Murayama and Jach rightfully aim to conceptualize motivation as an emergent property of a dynamic system of interacting elements. However, they do not embrace the ontological and paradigmatic constraints of the dynamic systems approach. They therefore miss the very process of emergence and how it can be formally modeled and tested by specific types of computer simulation
Explicit Motor Imaging Abilities Are Similar in Complex Regional Pain Syndrome, Chronic Limb Pain and Healthy Individuals: A Cross-Sectional Study
No full textInternational audienceBackground: Complex regional pain syndrome (CRPS) is a chronic pain condition characterized by peripheral, central sensory and motor dysfunction. Implicit motor imagery is known to be impaired in CRPS patients, but evidence for explicit motor imagery is still lacking. Using a self-rated questionnaire, this study aims to compare explicit motor imagery abilities between individuals with CRPS, with chronic limb pain (CLP), and healthy controls, and to also examine differences between affected and unaffected limbs. We hypothesize that both CRPS and CLP patients will show a decrease in motor imagery abilities compared to healthy controls and in their affected limb compared to their own contralateral, unaffected side. Patients and Methods: In this single-center observational study, 123 participants were recruited (CRPS = 40, chronic limb pain, CLP = 40, and healthy individuals = 43). Participants completed the Movement Imagery Questionnaire-Revised Second (MIQ-RS) once for each side of the body. The total MIQ-RS score, and the kinesthetic and visual subscores were compared between groups and between the affected and unaffected sides. Results: A high degree of heterogeneity was observed in the explicit motor imagery scores and subscores, regardless of whether the participants were healthy or individuals with chronic pain. The MIQ-RS did not reveal any significant differences in explicit motor imagery abilities, neither between groups nor between the affected and unaffected side. Bayesian testing of the null hypothesis for kinesthetic motor imagery abilities indicated a sevenfold likelihood of no differences between groups and a more than a fivefold likelihood of no differences between sides. Conclusion: Individuals with CRPS and chronic limb pain displayed preserved explicit motor imagery abilities, notably on the pain side. The preservation of these abilities supports the recommendation of mental imagery therapy to improve motor function and relieve pain in chronic pain patients.</div
Consistent Coupled Patterns of Teleconnection Between Rainfall in the Ogooué River Basin and Sea Surface Temperature in Tropical Oceans
No full textInternational audienceThis study investigates teleconnections between rainfall in the Ogooué River Basin (ORB) and sea surface temperature (SST) in the tropical ocean basins. The Maximum Covariance Analysis (MCA) is used to determine coupled patterns of SST in the tropical oceans and rainfall in the ORB, depicting regions and modes of SST dynamics that influence rainfall in the ORB. The application of MCA to rainfall and SST fields results in three coupled patterns with squared covariance fractions of 84.5%, 76.5%, and 77.5% for the Atlantic, Pacific, and Indian tropical basins, respectively. Computation of the correlations of the Savitzky–Golay-filtered resulting expansion coefficients reached 0.65, 0.5 and 0.72, respectively. The SST variation modes identified in this study can be related to the Atlantic Meridional Mode for the tropical Atlantic and the El Niño Southern Oscillation for the tropical Pacific. Over the Indian Ocean, it is a homogeneous mode over the entire basin, instead of the popular dipole mode. Then, the time-dependent correlation method is used to remove any ambiguity on the relationships established from the MCA
Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images
No full textCorrigendum : https://doi.org/10.1016/j.heliyon.2025.e43902International audienceWith pedestrian crossings implicated in a significant proportion of vehicle-pedestrian accidents and the French government's initiatives to improve pedestrian safety, there is a pressing need for efficient, large-scale evaluation of pedestrian crossings. This study proposes the deployment of advanced deep learning neural networks to automate the assessment of pedestrian crossings and roundabouts, leveraging aerial and street-level imagery sourced from Google Maps and Google Street View. Utilizing ConvNextV2, ResNet50, and ResNext50 models, we conducted a comprehensive analysis of pedestrian crossings across various urban and rural settings in France, focusing on nine identified risk factors.Our methodology incorporates Mask R-CNN for precise segmentation and detection of zebra crossings and roundabouts, overcoming traditional data annotation challenges and extending coverage to underrepresented areas. The analysis reveals that the ConvNextV2 model, in particular, demonstrates superior performance across most tasks, despite challenges such as data imbalance and the complex nature of variables like visibility and parking proximity.The findings highlight the potential of convolutional neural networks in improving pedestrian safety by enabling scalable and objective evaluations of crossings. The study underscores the necessity for continued dataset augmentation and methodological advancements to tackle identified challenges. Our research contributes to the broader field of road safety by demonstrating the feasibility and effectiveness of automated, image-based pedestrian crossing audits, paving the way for more informed and effective safety interventions
