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  • Open Access

    ARTICLE

    Do Public Health Events Promote the Prevalence of Adjustment Disorder in College Students? An Example from the COVID-19 Pandemic

    Rong Fu*, Luze Xie

    International Journal of Mental Health Promotion, Vol.26, No.1, pp. 21-30, 2024, DOI:10.32604/ijmhp.2023.041730

    Abstract COVID-19, as one of the most serious sudden public health problems in this century, is a serious threat to people’s mental health. College students, as a vulnerable group, are more likely to develop mental health problems. When the body is unable to adapt to new changes in the environment, the main mental health problem that arises is adjustment disorder. The aim of this study was to assess the prevalence and influencing factors of adjustment disorder among college students during the COVID-19 outbreak in China. Cross-sectional data collected by web-based questionnaires were obtained through convenience sampling and snowball sampling between March… More >

  • Open Access

    REVIEW

    Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques: A Comprehensive Review and Open Challenges

    Samina Amin1, Muhammad Ali Zeb1, Hani Alshahrani2,*, Mohammed Hamdi2, Mohammad Alsulami2, Asadullah Shaikh3

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1167-1202, 2024, DOI:10.32604/cmes.2023.043921

    Abstract Social media (SM) based surveillance systems, combined with machine learning (ML) and deep learning (DL) techniques, have shown potential for early detection of epidemic outbreaks. This review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their performance. Since, every year, a large amount of data related to epidemic outbreaks, particularly Twitter data is generated by SM. This paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM, along with the ML and DL techniques that have been configured for the… More >

  • Open Access

    ARTICLE

    Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

    Lifeng Wang1, Jing Yu2,*, Wenlu Ji1

    Energy Engineering, Vol.121, No.2, pp. 523-540, 2024, DOI:10.32604/ee.2023.041881

    Abstract Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various moments or motivating users, the design of a reasonable dynamic pricing mechanism to actively engage users in demand response becomes imperative for power grid companies. For this purpose, a power grid-flexible load bilevel model is constructed based on dynamic pricing, where the leader is the dispatching center and the lower-level flexible load acts as the follower. Initially, an upper-level day-ahead dispatching model for the power grid is established,… More >

  • Open Access

    PROCEEDINGS

    Effects of Alignment and Dislocation on the Impact Mechanical Response of Tandem Nomex Honeycomb

    Y. F. Yin1, X. J. Zhang1,*, Y. X. Lin1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.28, No.1, pp. 1-4, 2023, DOI:10.32604/icces.2023.010481

    Abstract 1 Introduction
    Nomex honeycomb is widely used in aerospace field due to its formability and impact resistance. Tandem honeycomb structure is favored for its excellent energy absorption and controllable deformation sequence [1]. Because impact damage is inevitable in the use of sandwich structures, it is necessary to analyze the impact mechanical response of such structures. The research objects include single honeycomb and two layers align honeycomb. First, the drop weight impact test was carried out to compare the mechanical response of double-layer aligned and staggered honeycomb with that of single honeycomb. Then finite element method was used to simulate the… More >

  • Open Access

    PROCEEDINGS

    Effects of Unequal Individual Spacing on the Aerodynamic Performance of Three Flapping Wings in Tandem

    Xueguang Meng1, Zengshuang Chen1, Yuxin Xie1, Gang Chen1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-5, 2023, DOI:10.32604/icces.2023.09892

    Abstract Many species generally choose highly organized movements to gain more performance advantages rather than alone in the animal world, such as V-formation and line formation in birds. Understanding the aerodynamic characteristics and flow variation of multi-flapping wings in formation flight could be applied to the formation design of new bionic flapping-wing aircraft. In this paper, the effects of unequal individual spacing on the aerodynamic performance and flow mechanism of three-dimensional three-flapping wings flying in tandem formation are investigated numerically at a low Reynolds number. The simulations include small and large spacings, as well as cases with equal and unequal spacings… More >

  • Open Access

    REVIEW

    A Narrative Review Unravelling the Historical Roots of Myths Surrounding Hypnosis and Discerning Facts

    Revue narrative pour démêler les racines historiques des mythes entourant l’hypnose et discerner les faits

    Dali Geagea*

    Psycho-Oncologie, Vol.17, No.4, pp. 215-224, 2023, DOI:10.32604/po.2023.043338

    Abstract Hypnosis, one of the earliest mind-body treatments, has been the subject of renewed interest in the last decade with research indicating its effectiveness for varied physiological and psychological ailments including pain, distress, and psychosomatic disorders. However, the adoption and acceptance of hypnosis are still hindered by myths and misconceptions that prevail among the general public and clinicians. Considering their significant role in promoting the successful delivery and acceptance of interventions, informing clinicians about hypnosis is crucial to promote balanced views, and thereby the adoption of this intervention when warranted. This narrative review traces the historical roots of myths surrounding hypnosis,… More >

  • Open Access

    EDITORIAL

    Demystifying Hypnosis, Demonstrating Its Use in Oncology Clinics

    Démystifier l’hypnose et démontrer son implantation en Clinique d’oncologie

    David Ogez1,*, Louise Baussard2

    Psycho-Oncologie, Vol.17, No.4, pp. 211-213, 2023, DOI:10.32604/po.2023.043983

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    RB-DEM Modeling and Simulation of Non-Persisting Rough Open Joints Based on the IFS-Enhanced Method

    Hangtian Song1,2, Xudong Chen1,2, Chun Zhu3, Qian Yin4, Wei Wang1,2, Qingxiang Meng1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 337-359, 2024, DOI:10.32604/cmes.2023.031496

    Abstract When the geological environment of rock masses is disturbed, numerous non-persisting open joints can appear within it. It is crucial to investigate the effect of open joints on the mechanical properties of rock mass. However, it has been challenging to generate realistic open joints in traditional experimental tests and numerical simulations. This paper presents a novel solution to solve the problem. By utilizing the stochastic distribution of joints and an enhanced-fractal interpolation system (IFS) method, rough curves with any orientation can be generated. The Douglas-Peucker algorithm is then applied to simplify these curves by removing unnecessary points while preserving their… More > Graphic Abstract

    RB-DEM Modeling and Simulation of Non-Persisting Rough Open Joints Based on the IFS-Enhanced Method

  • Open Access

    ARTICLE

    Use of Geographic Information System and Digital Elevation Model to Analyze the Hydro-Morphometric Characteristics of the Tshopo River Sub-Catchments, Democratic Republic of Congo

    Utilisation du système d’information géographique et modèle numérique de terrain dans l’analyse des caractéristiques hydro-morphométriques des sous-bassins versants de la rivière Tshopo, République démocratique du Congo

    Faidance Mashauri1,2,*, Mokili Mbuluyo1,3, Nsalambi Nkongolo2,4

    Revue Internationale de Géomatique, Vol.32, pp. 99-122, 2023, DOI:10.32604/rig.2023.044899

    Abstract The analysis and quantification of hydro-morphometric characteristics are essential for better management of water resources and more effective planning of hydroelectric projects in the Tshopo basin. Unfortunately, few studies have been carried out to assess these characteristics at the scale of this basin. Our methodological approach consists of using Geographic Information System (GIS) software analysis tools applied to the Digital Elevation Model (DEM) derived from the Advanced Land Observing Satellite (ALOS) World 3D-30m image. This enabled us to automatically extract the hydrographic network and generate the Tshopo sub-watersheds. The results of this analysis show that the Tshopo catchment area is… More >

  • Open Access

    ARTICLE

    Joint On-Demand Pruning and Online Distillation in Automatic Speech Recognition Language Model Optimization

    Soonshin Seo1,2, Ji-Hwan Kim2,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2833-2856, 2023, DOI:10.32604/cmc.2023.042816

    Abstract Automatic speech recognition (ASR) systems have emerged as indispensable tools across a wide spectrum of applications, ranging from transcription services to voice-activated assistants. To enhance the performance of these systems, it is important to deploy efficient models capable of adapting to diverse deployment conditions. In recent years, on-demand pruning methods have obtained significant attention within the ASR domain due to their adaptability in various deployment scenarios. However, these methods often confront substantial trade-offs, particularly in terms of unstable accuracy when reducing the model size. To address challenges, this study introduces two crucial empirical findings. Firstly, it proposes the incorporation of… More >

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