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Search Results (9)
  • Open Access

    ARTICLE

    Associations between Mental Health Outcomes and Adverse Childhood Experiences and Character Strengths among University Students in Southern China

    Yulan Yu1,2, Rassamee Chotipanvithayakul3, Hujiao Kuang4, Wit Wichaidit3,*, Chonghua Wan1,2,*

    International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1343-1351, 2023, DOI:10.32604/ijmhp.2023.043446

    Abstract Adverse childhood experiences (ACEs) can negatively affect mental health, whereas character strengths seem to be positively correlated with mental health. Detailed information on the history of ACEs among university students in China and the extent which mental health is associated with ACEs and character strengths can contribute to the needed empirical evidence for relevant stakeholders. Objectives of this study are 1) to estimate the prevalence of ACEs among undergraduate students in Southern China; and 2) to assess the extent which mental health outcomes (positive growth, well-being, and depression) are associated with ACEs and character strengths among undergraduate students in Southern… More >

  • Open Access

    REVIEW

    The Evidenced Effects of Early Childhood Interventions to Promote Mental Health and Parenting in the Nordic Countries: A Systematic Review

    Maria Dahlberg1,*, Johanna Nordmyr1, Hrafnhildur Gunnarsdottir2, Anna K. Forsman1

    International Journal of Mental Health Promotion, Vol.25, No.4, pp. 505-537, 2023, DOI:10.32604/ijmhp.2023.020833

    Abstract The first years of life and the family context are key to the promotion and protection of children’s health and wellbeing, emphasizing the need for interventions aimed to support families with young children. This review aimed to explore the effectiveness of early childhood interventions developed for promoting mental health and parenting among families with young children in the Nordic countries. Six electronic databases were systematically searched, and 20 articles covering 16 studies applying various quantitative and qualitative methods met the study inclusion criteria. The studied interventions were assessed as universal health-promoting interventions and health-promoting interventions with elements of prevention. Outcomes… More >

  • Open Access

    ARTICLE

    Deep Learning Framework for the Prediction of Childhood Medulloblastoma

    M. Muthalakshmi1,*, T. Merlin Inbamalar2, C. Chandravathi3, K. Saravanan4

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 735-747, 2023, DOI:10.32604/csse.2023.032449

    Abstract This research work develops new and better prognostic markers for predicting Childhood MedulloBlastoma (CMB) using a well-defined deep learning architecture. A deep learning architecture could be designed using ideas from image processing and neural networks to predict CMB using histopathological images. First, a convolution process transforms the histopathological image into deep features that uniquely describe it using different two-dimensional filters of various sizes. A 10-layer deep learning architecture is designed to extract deep features. The introduction of pooling layers in the architecture reduces the feature dimension. The extracted and dimension-reduced deep features from the arrangement of convolution layers and pooling… More >

  • Open Access

    ARTICLE

    Comparative Analysis of Pythagorean MCDM Methods for the Risk Assessment of Childhood Cancer

    Shaista Habib1, Muhammad Akram2,*, M. M. Ali Al-Shamiri3

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2585-2615, 2023, DOI:10.32604/cmes.2023.024551

    Abstract According to the World Health Organization (WHO), cancer is the leading cause of death for children in low and middle-income countries. Around 400,000 kids get diagnosed with this illness each year, and their survival rate depends on the country in which they live. In this article, we present a Pythagorean fuzzy model that may help doctors identify the most likely type of cancer in children at an early stage by taking into account the symptoms of different types of cancer. The Pythagorean fuzzy decision-making techniques that we utilize are Pythagorean Fuzzy TOPSIS, Pythagorean Fuzzy Entropy (PF-Entropy), and Pythagorean Fuzzy Power… More > Graphic Abstract

    Comparative Analysis of Pythagorean MCDM Methods for the Risk Assessment of Childhood Cancer

  • Open Access

    ARTICLE

    Efficacy of Singing Bowls in Childhood Asthma—A Pilot and Feasibility Study

    Sukhbir Shahid*

    Sound & Vibration, Vol.56, No.3, pp. 245-253, 2022, DOI:10.32604/sv.2022.016139

    Abstract The potential use of sound and vibration for diagnostic and therapeutic purposes remains largely under-explored and under-estimated. Sound and vibrational energy has great positive impact on the mind and body. It could be particularly useful for psychosomatic diseases as a complementary therapy. Singing bowls, the spiritual ancient therapy has been claimed to aid in mind relaxation and painful and inflammatory conditions. Childhood asthma is an inflammatory airway disease and a psychosomatic disorder. The psychological management in it is often neglected leading to under-treatment or a relapse. Hence, we hypothesized that sound therapy with singing bowls might be useful as complementary… More >

  • Open Access

    ARTICLE

    A New Childhood Pneumonia Diagnosis Method Based on Fine-Grained Convolutional Neural Network

    Yang Zhang1, Liru Qiu2, Yongkai Zhu1, Long Wen1,*, Xiaoping Luo2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 873-894, 2022, DOI:10.32604/cmes.2022.022322

    Abstract Pneumonia is part of the main diseases causing the death of children. It is generally diagnosed through chest X-ray images. With the development of Deep Learning (DL), the diagnosis of pneumonia based on DL has received extensive attention. However, due to the small difference between pneumonia and normal images, the performance of DL methods could be improved. This research proposes a new fine-grained Convolutional Neural Network (CNN) for children’s pneumonia diagnosis (FG-CPD). Firstly, the fine-grained CNN classification which can handle the slight difference in images is investigated. To obtain the raw images from the real-world chest X-ray data, the YOLOv4… More >

  • Open Access

    ARTICLE

    Long-Term Outcome and Risk Factor Analysis of Surgical Pulmonary Valve Replacement in Congenital Heart Disease

    Woo Young Park1, Gi Beom Kim1,*, Sang Yun Lee1, Mi Kyoung Song1, Hye Won Kwon1, Hyo Soon An1, Eun Jung Bae1, Sungkyu Cho2, Jae Gun Kwak2, Woong-Han Kim2

    Congenital Heart Disease, Vol.17, No.3, pp. 335-350, 2022, DOI:10.32604/chd.2022.018666

    Abstract Objectives: To establish long-term outcome of surgical pulmonary valve replacement (PVR) in congenital heart disease (CHD) and to identify risk factors for overall mortality, operative mortality, and repetitive PVR. Methods: This is a retrospective study of 375 surgical PVR in 293 patients who underwent surgical PVR for CHD between January 2000 and May 2020. We only included patients with index PVR with previous open-heart surgery regardless of the number of PVRs. The previous surgical history of patients who underwent PVR during the study period was also included. Patients who underwent the Rastelli operation, and those who underwent single PVR without… More >

  • Open Access

    ARTICLE

    Medium-Term Results of Balloon Valvuloplasty of Native Pulmonary Valve Stenosis with and without Supravalvular Obstruction in Childhood

    Olivia Lenoir1,2, Daniel Quandt1,2, Oliver Kretschmar1,2, Walter Knirsch1,2,*

    Congenital Heart Disease, Vol.17, No.2, pp. 161-172, 2022, DOI:10.32604/chd.2022.016598

    Abstract Objectives: Factors influencing results of balloon valvuloplasty (BVP) of pulmonary valve stenosis (PS) in children are investigated. Background: BVP has become the standard of care for PS, medium-term results are not uniform and depend on various preconditions. Methods: We analysed the medium-term results of BVP of PS in children in an observational, single centre study. Need for additional procedure was defined as outcome after initial BVP. Results: We included 143 children (83 female) at a median (IQR) age of 2.6 (0.26–9.24) months and body weight of 5 (3.4–8) kg at BVP with a follow–up of 5.04 (1.6–10.2) years. We used… More >

  • Open Access

    ARTICLE

    Narrative analysis of adults with complex congenital heart disease: Childhood experiences and their lifelong reverberations

    Michelle Keir1, Barbara Bailey1, Angela Lee1, Adrienne H. Kovacs1,2, S. Lucy Roche1,3

    Congenital Heart Disease, Vol.13, No.5, pp. 740-747, 2018, DOI:10.1111/chd.12647

    Abstract Background: With access to surgical care, >90% of today’s infants with congenital heart disease (CHD) will reach adulthood. During childhood, survivors accrue a wealth of health care experience and develop strategies for navigating life with a chronic disease.
    Methods: Seeking to learn from this individualized process, we invited adults with complex CHD to participate in narrative analysis—an established qualitative research method for studying how individuals derive meaning from their personal stories. Audio recordings of 2‐4 hour free‐form interviews were transcribed and iteratively analyzed to identify common themes and detect similarities or differences in language, viewpoint and interpretation. Recruitment continued until… More >

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