Karim Choubani^1,2,*, Ons Ghriss³, Nashmi H. Alrasheedi¹, Sirin Dhaoui², Abdallah Bouabidi²

Frontiers in Heat and Mass Transfer, Vol.22, No.1, pp. 341-358, 2024, DOI:10.32604/fhmt.2024.047016

Abstract Faced with the world’s environmental and energy-related challenges, researchers are turning to innovative, sustainable and intelligent solutions to produce, store, and distribute energy. This work explores the trend of using a smart sensor to monitor the stability and efficiency of a salt-gradient solar pond. Several studies have been conducted to improve the thermal efficiency of salt-gradient solar ponds by introducing other materials. This study investigates the thermal and salinity behaviors of a pilot of smart salt-gradient solar ponds with (SGSP) and without (SGSPP) paraffin wax (PW) as a phase-change material (PCM). Temperature and salinity were measured experimentally using a smart… More >

Lieping Zhang^1,2, Xiaoxu Shi^1,2, Liu Tang^1,2, Yilin Wang³, Jiansheng Peng⁴, Jianchu Zou^4,*

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2111-2136, 2024, DOI:10.32604/cmc.2024.047235

Abstract A Rapid-exploration Random Tree (RRT) autonomous detection algorithm based on the multi-guide-node deflection strategy and Karto Simultaneous Localization and Mapping (SLAM) algorithm was proposed to solve the problems of low efficiency of detecting frontier boundary points and drift distortion in the process of map building in the traditional RRT algorithm in the autonomous detection strategy of mobile robot. Firstly, an RRT global frontier boundary point detection algorithm based on the multi-guide-node deflection strategy was put forward, which introduces the reference value of guide nodes’ deflection probability into the random sampling function so that the global search tree can detect frontier… More >

Amr Mansour¹, Noha M. Gamal^2,*, Alaa M. Nady³, Amr Ibraheem³, Dalia M. Salah⁴, Khaled M. El-Maghraby²

Congenital Heart Disease, Vol.18, No.6, pp. 679-691, 2023, DOI:10.32604/chd.2023.020028

Abstract Background: Closure of an atrial septal defect (ASD) reduces right-side heart volumes by abolishing shunting with simultaneous improvement of the left ventricle (LV) filling and functions due to ventricular interdependence, thereby improving symptoms. Furthermore, studies conducted on atrial volume changes after ASD closure are limited. Cardiac magnetic resonance (CMR) is considered as the gold standard method for measuring cardiac volume and mass. Objective: We aimed to study the effect of transcatheter and surgical closure of secundum ASD on cardiac volumes and systolic functions as well as the fate of tricuspid regurgitation (TR), using CMR analysis. Methods: We prospectively enrolled 30… More >

Karim Ragui¹, Mengshuai Chen^1,2, Lin Chen^1,2,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-2, 2023, DOI:10.32604/icces.2023.010378

Abstract The ambiguous dynamics associated with heat and mass transfer of invading carbon dioxide in sub-critical and supercritical states, as well as the response of pore-scale resident fluids, play a key role in understanding CO₂ capture and storage (CCUS) and the corresponding phase equilibrium mechanisms. To this end, this paper reveals the transport mechanisms of invading supercritical carbon dioxide (sCO₂) in polluted micromodels using a variant of Lattice-Boltzmann Color Fluid model and descriptive experimental data. The breakthrough time is evaluated by characterizing the displacement velocity, the capillary to pressuredifference ratio, and the transient heat and mass diffusion at a series of… More >

Sophie Lelorain^1,*, Christelle Duprez², Laura Caton², Marie-Mai Nguyen², Gildas d’Almeida², Guillaume Piessen³, Alexis Cortot⁴

Psycho-Oncologie, Vol.17, No.3, pp. 201-209, 2023, DOI:10.32604/po.2023.044910

Abstract Cet article retrace l’histoire d’un projet de recherche qui a échoué. Nous avons conçu et implémenté une intervention psychologique visant à augmenter les compétences émotionnelles des patient·e·s atteint·e·s de cancer œsogastrique ou de cancer du poumon, après leurs traitements. L’étude était un essai contrôlé randomisé dans un hôpital public. Nous présentons le protocole final de l’étude, décrivons les difficultés rencontrées et nos réflexions à ce sujet, afin de transmettre notre expérience et les messages clefs qui vont avec aux chercheur·e·s et clinicien·ne·s pour la mise en œuvre de telles interventions. Tout d’abord, le rôle de la psychologie, des émotions et… More >

Stéphane Faury^1,*, Katia M’Bailara^1,2, Eric Rullier³, Quentin Denost⁴, Bruno Quintard¹

Psycho-Oncologie, Vol.17, No.3, pp. 147-157, 2023, DOI:10.32604/po.2023.044901

Abstract L’objectif de cette étude est d’évaluer la faisabilité, l’acceptabilité et l’efficacité d’une intervention psychosociale en individuel (appelée StomieCare) auprès de patients atteints d’un cancer du rectum et traités par chirurgie avec stomie temporaire. Cette intervention, en trois séances individuelles, comprend des discussions thématiques autour de problèmes communs relatifs à la maladie et/ou la stomie comme l’impact du cancer et de ces traitements sur la qualité de vie, l’estime de soi, d’apport d’informations et d’apprentissage de techniques (résolution de problème et restructuration cognitive). Trente-sept patients atteints d’un cancer du rectum et traités par chirurgie avec stomie temporaire ont été recrutés et… More >

E. Guerdoux, L. Coutant, M. Del Rio, S. Gourgou, F. Quenet, G. Ninot

Psycho-Oncologie, Vol.16, No.1, pp. 192-198, 2022, DOI:10.3166/pson-2022-0177

Abstract Objectif : Évaluer l’implémentation d’une pratique quotidienne de cohérence cardiaque chez des patients opérés pour une carcinose péritonéale.
Matériel et méthode : Étude pilote monocentrique, ouverte, contrôlée, randomisée non comparative, incluant 20 patients en soins courants vs 40 patients formés à la cohérence cardiaque avec biofeedback et guide respiratoire pour une pratique au domicile enregistrée.
Résultats attendus : Adhésion satisfaisante au programme, pouvant caractériser les éléments favorisant son implémentation avant et après chirurgie et évaluation de son impact sur l’anxiété.
Perspectives : Efficacité à déterminer pour transférer ce soin de support. More >

H. Zarglayoun, C. Arbour, J. Delage, S. Pierre, M. Tremblay, D. Hjeij, P. Rainville, D. Ogez

Psycho-Oncologie, Vol.16, No.4, pp. 375-379, 2022, DOI:10.3166/pson-2022-0202

Abstract Objective: This project aimed to train nurses on an oncology unit in hypnotic communication to reduce treatment-related pain and anxiety in their patients. A pilot study was conducted to assess changes in hypnotic communication behaviors associated with the training.
Methods: Nurses were recruited and their interactions during a simulated patient admission for treatment (before and after training) were recorded. Hypnotic communication skills were assessed by independent reviewers using a training checklist listing different hypnotic communication techniques and a validated assessment scale (Sainte-Justine Hypnotic Communication Assessment Scale, SJ-HCAS).
Results: Seven nurses were evaluated. Wilcoxon pairedsample tests (pre–post) reported significant improvement with… More >

Y. K. Bharath^1,*, S. Veena²

Sound & Vibration, Vol.56, No.4, pp. 319-331, 2022, DOI:10.32604/sv.2022.015634

Abstract This paper presents the development of a dynamic Active Noise Control (ANC) algorithm aimed towards reducing the broadband noise inside the helmet earcups of a fighter aircraft pilot helmet. The dynamic ANC involves a Variable Step-Size Griffiths (VSSG) FxLMS algorithm to attenuate noise entering directly through helmet, a LMS based adaptive noise canceller to attenuate noise entering through the pilot microphone, and energy detectors for failure protection and optimized battery power usage. The algorithms are implemented on Texas Instruments’ TMS320C6748 processor and are tested in a helmet ANC experimental setup. More >

Qianlei Wang^1,2,3,*, Zaijun Wang³, Renhe Xiong⁴, Xingbin Liao^1,2, Xiaojun Tan⁵

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1999-2020, 2023, DOI:10.32604/csse.2023.034183

Abstract How to accurately recognize the mental state of pilots is a focus in civil aviation safety. The mental state of pilots is closely related to their cognitive ability in piloting. Whether the cognitive ability meets the standard is related to flight safety. However, the pilot's working state is unique, which increases the difficulty of analyzing the pilot's mental state. In this work, we proposed a Convolutional Neural Network (CNN) that merges attention to classify the mental state of pilots through electroencephalography (EEG). Considering the individual differences in EEG, semi-supervised learning based on improved K-Means is used in the model training… More >