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  • Open Access

    ARTICLE

    Cross-Validation Convolution Neural Network-Based Algorithm for Automated Detection of Diabetic Retinopathy

    S. Sudha*, A. Srinivasan, T. Gayathri Devi

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1985-2000, 2023, DOI:10.32604/csse.2023.030960

    Abstract The substantial vision loss due to Diabetic Retinopathy (DR) mainly damages the blood vessels of the retina. These feature changes in the blood vessels fail to exist any manifestation in the eye at its initial stage, if this problem doesn’t exhibit initially, that leads to permanent blindness. So, this type of disorder can be only screened and identified through the processing of fundus images. The different stages in DR are Micro aneurysms (Ma), Hemorrhages (HE), and Exudates, and the stages in lesion show the chance of DR. For the advancement of early detection of DR in the eye we have… More >

  • Open Access

    ARTICLE

    NDN Content Poisoning Mitigation Using Bird Swarm Optimization and Trust Value

    S. V. Vijaya Karthik*, J. Arputha Vijaya Selvi

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 833-847, 2023, DOI:10.32604/iasc.2023.025404

    Abstract Information-Centric Networking (ICN) is considered a viable strategy for regulating Internet consumption using the Internet’s underlying architecture. Although Named Data Networking (NDN) and its reference-based implementation, the NDN Forwarding Daemon (NFD), are the most established ICN solutions, their vulnerability to the Content Poisoning Attack (CPA) is regarded as a severe threat that might dramatically impact this architecture. Content Poisoning can significantly minimize the impact of NDN’s universal data caching. Using verification signatures to protect against content poisoning attacks may be impractical due to the associated costs and the volume of messages sent across the network, resulting in high computational costs.… More >

  • Open Access

    ARTICLE

    Properties of a Scale of Self-Care Behaviors Facing COVID-19: An Exploratory Analysis in a Sample of University Students in Huanuco, Peru

    Mely Ruiz-Aquino1, Viter Gerson Carlos Trinidad1,2, Aldo Alvarez-Risco3, Jaime A. Yáñez4,5,*

    International Journal of Mental Health Promotion, Vol.24, No.6, pp. 959-974, 2022, DOI:10.32604/ijmhp.2022.021172

    Abstract The general objective of this article was to construct and describe the psychometric properties of a scale of selfcare behaviors against COVID-19. It was a descriptive, cross-sectional, psychometric validation study of a scale created to measure self-care behaviors in relation to COVID-19 in a total sample of 333 probabilistically selected. Qualitative validity was evaluated by a review of 10 experts and quantitative validity by means of exploratory factor analysis using the principal components method. Internal consistency was measured with Cronbach’s alpha twice and the test-retest was evaluated by calculating the intraclass coefficient. The final scale consisted of 29 items. The… More >

  • Open Access

    REVIEW

    Validation of Symptom Dimensions and Sub-Type Responses in Cognitive Behavioral Therapy in Obsessive Compulsive Disorder: A Systemic Review and Meta-Analysis

    Xuan Liu1,2,3, Xiangyun Yang1,2, Pengchong Wang1,2, Zhanjiang Li1,2,*

    International Journal of Mental Health Promotion, Vol.24, No.6, pp. 843-854, 2022, DOI:10.32604/ijmhp.2022.021009

    Abstract Background: Obsessive-compulsive disorder (OCD) is a clinically heterogeneous condition without a conclusive subtype dimension. This study will focus on the meta-analysis of the clinical responses of OCD subtypes to cognitive behavioral therapy (CBT), which might clarify this issue. Methods: We performed a systematic search and a meta-analysis for the studies of OCD subtypes and the response to CBT in PubMed, ScienceDirect, Embase, Web of Science, and Scopus databases. The selective criteria were the OCD without significant medical or psychiatric co-morbidities and pre-and post-treatment changes in scores of OCD dimension. In addition, different subtypes of OCD in symptom dimensions, such as… More >

  • Open Access

    ARTICLE

    Numerical Modelling of Drying Induced Cracks in Wood Discs Using the Extended Finite Element Method

    Zongying Fu1, Yongdong Zhou1, Tingguo Yan2, Yun Lu1,*

    Journal of Renewable Materials, Vol.11, No.1, pp. 93-102, 2023, DOI:10.32604/jrm.2023.021808

    Abstract Drying crack is a common phenomenon occurring during moisture discharge from wood, reducing efficient wood utilization. Drying crack is primarily caused by drying stress, and the reasonable methods for determining drying stress are sparse. In this study, the initiation and propagation of cracks during wood discs drying were simulated using the extended finite element method (XFEM). The distribution of drying stress and displacement was analyzed at different crack conditions based on the simulation results. This study aimed to solve the problem of the limitation of drying stress testing methods and provide a new idea for the study of wood drying… More >

  • Open Access

    ARTICLE

    Development and Validation of a Nomogram Model to Predict the Prognosis of Intrahepatic Cholangiocarcinoma

    Yi Chen1,#, Liyun Huang1,#, Zuwu Wei1, Xiaoling Liu1, Lihong Chen1,2,*, Bin Wang1,2,*

    Oncologie, Vol.24, No.2, pp. 329-340, 2022, DOI:10.32604/oncologie.2022.022521

    Abstract Background: The effective method for predicting prognosis of ICC is still lack. This study aims to establish and verify an effective prognostic nomogram model for intrahepatic cholangiocarcinoma (ICC) after partial hepatectomy. Materials and Methods: A nomogram model was developed in a cohort of 127 patients from January 2015 to December 2019. General clinical characteristics including preoperative physical examination data and postoperative pathological features were obtained. The independent risk factors identified by univariate and multivariate COX proportional hazards regression models were used to construct nomogram model. Predictive accuracy and discriminative ability were determined using a concordance index and a calibration curve.… More >

  • Open Access

    ARTICLE

    Correlating Transcriptional Networks to Papillary Renal Cell Carcinoma Survival: A Large-Scale Coexpression Analysis and Clinical Validation

    Xingliang Feng*1, Meng Zhang*†1, Jialin Meng*, Yongqiang Wang, Yi Liu*, Chaozhao Liang*, Song Fan*

    Oncology Research, Vol.28, No.3, pp. 285-297, 2020, DOI:10.3727/096504020X15791676105394

    Abstract We aimed to investigate the potential mechanisms of progression and identify novel prognosis-related biomarkers for papillary renal cell carcinoma (PRCC) patients. The related data were derived from The Cancer Genome Atlas (TCGA) and then analyzed by weighted gene coexpression network analysis (WGCNA). The correlation between each module and the clinical traits were analyzed by Pearson’s correlation analysis. Pathway analysis was conducted to reveal potential mechanisms. Hub genes within each module were screened by intramodule analysis, and visualized by Cytoscape software. Furthermore, important hub genes were validated in an external dataset and clinical samples. A total of 5,839 differentially expressed genes… More >

  • Open Access

    ARTICLE

    An Optimized Convolutional Neural Network with Combination Blocks for Chinese Sign Language Identification

    Yalan Gao, Yanqiong Zhang, Xianwei Jiang*

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 95-117, 2022, DOI:10.32604/cmes.2022.019970

    Abstract (Aim) Chinese sign language is an essential tool for hearing-impaired to live, learn and communicate in deaf communities. Moreover, Chinese sign language plays a significant role in speech therapy and rehabilitation. Chinese sign language identification can provide convenience for those hearing impaired people and eliminate the communication barrier between the deaf community and the rest of society. Similar to the research of many biomedical image processing (such as automatic chest radiograph processing, diagnosis of chest radiological images, etc.), with the rapid development of artificial intelligence, especially deep learning technologies and algorithms, sign language image recognition ushered in the spring. This… More >

  • Open Access

    ARTICLE

    Implementation and Validation of the Optimized Deduplication Strategy in Federated Cloud Environment

    Nipun Chhabra*, Manju Bala, Vrajesh Sharma

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 2019-2035, 2022, DOI:10.32604/cmc.2022.021797

    Abstract Cloud computing technology is the culmination of technical advancements in computer networks, hardware and software capabilities that collectively gave rise to computing as a utility. It offers a plethora of utilities to its clients worldwide in a very cost-effective way and this feature is enticing users/companies to migrate their infrastructure to cloud platform. Swayed by its gigantic capacity and easy access clients are uploading replicated data on cloud resulting in an unnecessary crunch of storage in datacenters. Many data compression techniques came to rescue but none could serve the purpose for the capacity as large as a cloud, hence, researches… More >

  • Open Access

    ARTICLE

    Mental Illness Education through Stories of Lived Experience: Validation Review of the DoNOHarm Framework

    Debra Rickwood1,*, Kerry Thomas1, Patricia M. Brown1, Heidi Prowse2

    International Journal of Mental Health Promotion, Vol.23, No.4, pp. 455-469, 2021, DOI:10.32604/IJMHP.2021.017613

    Abstract The lived experience of people with mental illness is a powerful way to promote mental health literacy and reduce the stigma associated with mental illness. However, there is little guidance on how to do this safely. Mental Illness Education ACT is an Australian organisation that since 1993 has supported volunteer educators to share their individual stories of lived experience to school and community groups. In 2011, they developed the DoNOHarm Framework to assist volunteers to be able to talk about their experiences in a way that is safe for them and for their audience, a gap that they recognised in… More >

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