Hong Huang¹, Xingxing Zhang^1,*, Ye Lu¹, Ze Li¹, Shaohua Zhou²

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3929-3951, 2024, DOI:10.32604/cmc.2024.047918

Abstract While encryption technology safeguards the security of network communications, malicious traffic also uses encryption protocols to obscure its malicious behavior. To address the issues of traditional machine learning methods relying on expert experience and the insufficient representation capabilities of existing deep learning methods for encrypted malicious traffic, we propose an encrypted malicious traffic classification method that integrates global semantic features with local spatiotemporal features, called BERT-based Spatio-Temporal Features Network (BSTFNet). At the packet-level granularity, the model captures the global semantic features of packets through the attention mechanism of the Bidirectional Encoder Representations from Transformers (BERT) model. At the byte-level granularity,… More >

Guilhem Paillard-Brunet^*, Audrey Couillet

Psycho-Oncologie, Vol.18, No.1, pp. 23-31, 2024, DOI:10.32604/po.2023.047888

Abstract Cette étude qualitative visait à recueillir chez les professionnels d’un Centre de Lutte Contre le Cancer les attentes et les réticences qu’ils pouvaient avoir vis-à-vis des interventions de pair-aidance. Des entretiens individuels semi-structurés ont été menés auprès de 12 professionnels issus de professions différentes. Une retranscription intégrale des entretiens puis une analyse thématique de leur contenu ont été conduites. L’analyse des données a permis de faire émerger trois thèmes principaux quant aux attentes exprimées par les soignants : le besoin d’un accompagnement plus soutenant des patients, rompre leur isolement dans la maladie et enrichir le réseau de soins. L’analyse a… More >

Yajing Ma^1,2,3, Gulila Altenbek^1,2,3,*, Yingxia Yu¹

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 695-712, 2024, DOI:10.32604/cmc.2023.045486

Abstract Due to the structural dependencies among concurrent events in the knowledge graph and the substantial amount of sequential correlation information carried by temporally adjacent events, we propose an Independent Recurrent Temporal Graph Convolution Networks (IndRT-GCNets) framework to efficiently and accurately capture event attribute information. The framework models the knowledge graph sequences to learn the evolutionary representations of entities and relations within each period. Firstly, by utilizing the temporal graph convolution module in the evolutionary representation unit, the framework captures the structural dependency relationships within the knowledge graph in each period. Meanwhile, to achieve better event representation and establish effective correlations,… More >

Akmalbek Abdusalomov¹, Alpamis Kutlimuratov², Rashid Nasimov³, Taeg Keun Whangbo^1,*

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2915-2933, 2023, DOI:10.32604/cmc.2023.044466

Abstract The performance of a speech emotion recognition (SER) system is heavily influenced by the efficacy of its feature extraction techniques. The study was designed to advance the field of SER by optimizing feature extraction techniques, specifically through the incorporation of high-resolution Mel-spectrograms and the expedited calculation of Mel Frequency Cepstral Coefficients (MFCC). This initiative aimed to refine the system’s accuracy by identifying and mitigating the shortcomings commonly found in current approaches. Ultimately, the primary objective was to elevate both the intricacy and effectiveness of our SER model, with a focus on augmenting its proficiency in the accurate identification of emotions… 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 >

Brigitta Munkácsi^1,*, Enikő Felszeghy¹, Flóra Kenyhercz², Beáta Erika Nagy¹

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 961-969, 2023, DOI:10.32604/ijmhp.2023.027319

Abstract The most common comorbid psychiatric disorders in children with type 1 diabetes mellitus (T1DM) are depression, anxiety and behavioral disorders. Patients with comorbid psychopathology are less capable of psychically adjusting to the new life situation resulting from T1DM, which may negatively affect glycemic control and adherence related to the treatment. We aimed to investigate the association between mental health and type 1 diabetes including illness representation. 115 children and adolescents with T1DM were recruited through the outpatient clinic in Debrecen, Hungary. Measures: PRISM-D, Child Depression Inventory (CDI), Cantril Ladder and Self-Rated Health, Glycosylaeted haemoglobin (HbA1C) were measured. Children having depressive… More > Graphic Abstract

A. Polomeni

Psycho-Oncologie, Vol.17, No.2, pp. 95-98, 2023, DOI:10.3166/pson-2022-0230

Abstract Partant du rapport de la Mission interministérielle de vigilance et de lutte contre les dérives sectaires qui note le risque de dévoiement des soins de support au profit de dérives sectaires, l’auteur aborde les représentations de la souffrance et des soins psychiques octroyés aux patients atteints de cancer. More >

Sarab AlMuhaideb^*, Yasmeen AlNegheimish, Taif AlOmar, Reem AlSabti, Maha AlKathery, Ghala AlOlyyan

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 195-220, 2023, DOI:10.32604/cmc.2023.038368

Abstract Healthcare organizations rely on patients’ feedback and experiences to evaluate their performance and services, thereby allowing such organizations to improve inadequate services and address any shortcomings. According to the literature, social networks and particularly Twitter are effective platforms for gathering public opinions. Moreover, recent studies have used natural language processing to measure sentiments in text segments collected from Twitter to capture public opinions about various sectors, including healthcare. The present study aimed to analyze Arabic Twitter-based patient experience sentiments and to introduce an Arabic patient experience corpus. The authors collected 12,400 tweets from Arabic patients discussing patient experiences related to… More >

L. Restivo, T. Apostolidis, C. Julian-Reynier

Psycho-Oncologie, Vol.16, No.3, pp. 323-336, 2022, DOI:10.3166/pson-2022-0207

Abstract Objectif : Dresser un bilan des outils quantitatifs disponibles pour mesurer les représentations de la maladie et analyser leur utilisation empirique auprès de patients atteints de cancer.
Matériel et méthodes: Revue de la littérature.
Résultats: Sept outils de mesure des représentations de la maladie existent dont un spécifique au cancer. L’Illness Perception Questionnaire est utilisé dans 29 des 33 études retenues.
Conclusion: Associer ces échelles avec des méthodes reposant sur des approches davantage centrées sur le contexte socioculturel semble à privilégier. More >

Thierry Ramadier

Revue Internationale de Géomatique, Vol.30, No.1, pp. 13-35, 2020, DOI:10.3166/rig.2020.00101

Abstract Cet article s’appuie sur un ensemble de recherches sur la cognition spatiale afin de montrer, d’une part, que des résultats encore éparses plaident un faveur d’une construction sociale des « cartes mentales , et d’autre part, que c’est en conjuguant l’analyse des significations sociales de l’espace géographique (cognition environnementale) avec celle des distributions topologiques des éléments géographiques intériorisées par les individus (cognition spatiale) qu’il est possible de rendre compte de cette socialisation de la cartographie cognitive. L’auteur interroge ainsi les raisons qui font obstacle à une analyse socio-cognitive des « cartes mentales , alors que, par ailleurs, les représentations cartographiques… More >