G. Dharmaiah¹, F. Mebarek-Oudina^2,*, K. S. Balamurugan³, N. Vedavathi⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.2, pp. 293-310, 2024, DOI:10.32604/fdmp.2023.030325

Abstract The effects of a magnetic dipole on a nonlinear thermally radiative ferromagnetic liquid flowing over a stretched surface in the presence of Brownian motion and thermophoresis are investigated. By means of a similarity transformation, ordinary differential equations are derived and solved afterwards using a numerical (the BVP4C) method. The impact of various parameters, namely the velocity, temperature, concentration, is presented graphically. It is shown that the nanoparticles properties, in conjunction with the magnetic dipole effect, can increase the thermal conductivity of the engineered nanofluid and, consequently, the heat transfer. Comparison with earlier studies indicates high accuracy and effectiveness of the… More > Graphic Abstract

Xiaoqing Zeng^1,2,3,*, Song Tu^1,2,3, Ting Liu⁴

International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1229-1236, 2023, DOI:10.32604/ijmhp.2023.029903

Abstract The relapse of methamphetamine (meth) is associated with decision-making dysfunction. The present study aims to investigate the impact of different emotions on the decision-making behavior of meth users. We used 2 (gender: male, female) × 3 (emotion: positive, negative, neutral) × 5 (block: 1, 2, 3, 4, 5) mixed experiment design. The study involved 168 meth users who were divided into three groups: positive emotion, negative emotion and neutral emotion group, and tested by the emotional Iowa Gambling Task (IGT). The IGT performance of male users exhibited a decreasing trend from Block 1 to Block 3. Female meth users in… More > Graphic Abstract

Azad Hussain^1,*, Naila Farooq¹, Ayesha Saddiqa¹, Ahmad M. Hassan², Abdulkafi Mohammed Saeed³

Frontiers in Heat and Mass Transfer, Vol.21, pp. 563-590, 2023, DOI:10.32604/fhmt.2023.042818

Abstract The current article discusses the peristaltic flow of the Casson fluid model with implications for double diffusivity, radiative flux, variable conductivity and viscosity. This study offers a thorough understanding of the functioning and illnesses of embryological organs, renal systems, respiratory tracts, etc., that may be useful to medical professionals and researchers. The main purpose of the study is to evaluate the consequences of double diffusivity on the peristaltic flow of nanofluid. By implementing the appropriate transformation, the governed differential equations of momentum, temperature, concentration and double diffusivity are worked out numerically. The lowest Reynolds number and highest wavelength are used.… More >

R.R. Kairi^a, Ch. RamReddy^b,*

Frontiers in Heat and Mass Transfer, Vol.6, pp. 1-7, 2015, DOI:10.5098/hmt.6.6

Abstract In this paper, we investigated the influence of melting on mixed convection heat and mass transfer from the vertical flat plate in a non-Newtonian nanofluid saturated porous medium. The wall and the ambient medium are maintained at constant, but different, levels of temperature and concentration. The Ostwald–de Waele power-law model is used to characterize the non-Newtonian nanofluid behavior. A similarity solution for the transformed governing equations is obtained. The numerical computation is carried out for various values of the non-dimensional physical parameters. The variation of temperature, concentration, heat and mass transfer coefficients with the power-law index, mixed convection parameter, melting… More >

Abdelwahed Motwakel^1,*, Hala J. Alshahrani², Jaber S. Alzahrani³, Ayman Yafoz⁴, Heba Mohsen⁵, Ishfaq Yaseen¹, Amgad Atta Abdelmageed¹, Mohamed I. Eldesouki⁶

Computer Systems Science and Engineering, Vol.47, No.3, pp. 2741-2757, 2023, DOI:10.32604/csse.2023.034721

Abstract Currently, individuals use online social media, namely Facebook or Twitter, for sharing their thoughts and emotions. Detection of emotions on social networking sites’ finds useful in several applications in social welfare, commerce, public health, and so on. Emotion is expressed in several means, like facial and speech expressions, gestures, and written text. Emotion recognition in a text document is a content-based classification problem that includes notions from deep learning (DL) and natural language processing (NLP) domains. This article proposes a Deer Hunting Optimization with Deep Belief Network Enabled Emotion Classification (DHODBN-EC) on English Twitter Data in this study. The presented… More >

Somin Park¹, Mpabulungi Mark¹, Bogyung Park², Hyunki Hong^1,*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1009-1030, 2023, DOI:10.32604/cmc.2023.041332

Abstract Speech emotion recognition is essential for frictionless human-machine interaction, where machines respond to human instructions with context-aware actions. The properties of individuals’ voices vary with culture, language, gender, and personality. These variations in speaker-specific properties may hamper the performance of standard representations in downstream tasks such as speech emotion recognition (SER). This study demonstrates the significance of speaker-specific speech characteristics and how considering them can be leveraged to improve the performance of SER models. In the proposed approach, two wav2vec-based modules (a speaker-identification network and an emotion classification network) are trained with the Arcface loss. The speaker-identification network has a… More >

Amy J. Kaye^1,*, Vanessa Prosper², Kathryn Moffa¹, Vanja Pejic¹, Karen Capraro¹, Georgios D. Sideridis¹, Abigail Ross^1,3, Kristine M. Dennery¹, David R. DeMaso¹

International Journal of Mental Health Promotion, Vol.25, No.10, pp. 1103-1115, 2023, DOI:10.32604/ijmhp.2023.030185

Abstract The objective of this study was to evaluate the impact of Break Free from Depression (BFFD), a school-based depression awareness curriculum, in comparison to a wait list control group. A total of 13 eighth grade classrooms participated in either an intervention or control group and completed pre-, post-, and three-month follow-up surveys. Students participating in BFFD (N = 6 classrooms, 166 students) demonstrated enhanced knowledge of and more adaptive attitudes towards depression compared to the control group (N = 7 classrooms, 155 students). Participants in the BFFD intervention also demonstrated increases in their confidence in knowing how to seek help… More >

Fida Mohammad^1,*, Mukhtaj Khan¹, Safdar Nawaz Khan Marwat², Naveed Jan³, Neelam Gohar⁴, Muhammad Bilal³, Amal Al-Rasheed⁵

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3523-3547, 2023, DOI:10.32604/cmc.2023.040202

Abstract Emotion Recognition in Conversations (ERC) is fundamental in creating emotionally intelligent machines. Graph-Based Network (GBN) models have gained popularity in detecting conversational contexts for ERC tasks. However, their limited ability to collect and acquire contextual information hinders their effectiveness. We propose a Text Augmentation-based computational model for recognizing emotions using transformers (TA-MERT) to address this. The proposed model uses the Multimodal Emotion Lines Dataset (MELD), which ensures a balanced representation for recognizing human emotions. The model used text augmentation techniques to produce more training data, improving the proposed model’s accuracy. Transformer encoders train the deep neural network (DNN) model, especially… 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 >

Guillaume Broc^1,*, Julien Carretier^2,3, Sabrina Rouat⁴, Laure Guittard^5,6, Julien Péron^7,8, Béatrice Fervers^3,9, Laurent Letrilliart^6,10, Philippe Sarnin⁴, Jean-Baptiste Fassier^11,12, Marion Lamort-Bouché^6,10

Psycho-Oncologie, Vol.17, No.3, pp. 167-179, 2023, DOI:10.32604/po.2023.044730

Abstract Objectif : Le retour au travail (RAT) après un cancer du sein est un processus complexe qui interroge les trajectoires individuelles des patients et celle des acteurs dans leur environnement (ou écosystème). La planification d’une intervention dans ce contexte nécessite une méthodologie appropriée qui intègre cette complexité, à l’image de l’Intervention Mapping (IM). L’objectif de l’article est de décrire une application de l’IM pour la conception et la production d’un guide patient de RAT après un cancer du sein. Matériel et méthodes : Suivant le protocole d’IM, le guide a été coconstruit avec un comité stratégique (COS) de partiesprenantes (patientes/associations,… More >