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  • Open Access

    ARTICLE

    Virtual Reality-Based Random Dot Kinematogram

    Jun Ma1, Hyo-Jung Kim2, Ji-Soo Kim3,4, Eek-Sung Lee5, Min Hong6,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 4205-4213, 2021, DOI:10.32604/cmc.2021.018080

    Abstract This research implements a random dot kinematogram (RDK) using virtual reality (VR) and analyzes the results based on normal subjects. Visual motion perception is one of visual functions localized to a specific cortical area, the human motion perception area (human analogue for the middle temporal/middle superior temporal area) located in the parieto–occipito–temporal junction of the human brain. The RDK measures visual motion perception capabilities. The stimuli in conventional RDK methods are presented using a monitor screen, so these devices require a spacious dark room for installation and use. Recently, VR technology has been implemented in different medical domains. The test… More >

  • Open Access

    ARTICLE

    Integrated analysis of human influenza A (H1N1) virus infectionrelated genes to construct a suitable diagnostic model

    WENBIAO CHEN, KEFAN BI, JINGJING JIANG, XUJUN ZHANG, HONGYAN DIAO*

    BIOCELL, Vol.45, No.4, pp. 885-899, 2021, DOI:10.32604/biocell.2021.012938

    Abstract The genome characteristics and structural functions of coding proteins correlate with the genetic diversity of the H1N1 virus, which aids in the understanding of its underlying pathogenic mechanism. In this study, analyses of the characteristic of the H1N1 virus infection-related genes, their biological functions, and infection-related reversal drugs were performed. Additionally, we used multi-dimensional bioinformatics analysis to identify the key genes and then used these to construct a diagnostic model for the H1N1 virus infection. There was a total of 169 differently expressed genes in the samples between 21 h before infection and 77 h after infection. They were used… More >

  • Open Access

    ARTICLE

    Driving Pattern Profiling and Classification Using Deep Learning

    Meenakshi Malik1, Rainu Nandal1, Surjeet Dalal2, Vivek Jalglan3, Dac-Nhuong Le4,5,*

    Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 887-906, 2021, DOI:10.32604/iasc.2021.016272

    Abstract The last several decades have witnessed an exponential growth in the means of transport globally, shrinking geographical distances and connecting the world. The automotive industry has grown by leaps and bounds, with millions of new vehicles being sold annually, be it for personal commuting or for public or commodity transport. However, millions of motor vehicles on the roads also mean an equal number of drivers with varying levels of skill and adherence to safety regulations. Very little has been done in the way of exploring and profiling driving patterns and vehicular usage using real world data. This paper focuses on… More >

  • Open Access

    ARTICLE

    Diagnostic des phéochromocytomes et paragangliomes *
    Diagnosis of Pheochromocytomas and Paragangliomas

    F. Castinetti, A. Barlier, F. Sebag, D. Taieb

    Oncologie, Vol.21, No.2, pp. 105-111, 2019, DOI:10.3166/onco-2019-0050

    Abstract Pheochromocytoma and paraganglioma are tumors leading to increased morbidity and mortality. Over the last 20 years, several major advances allowed a better characterization of these tumors, either from an imaging or from a genetic viewpoint. This is especially the case for the hereditary characteristics of these tumors, as roughly 20 new genes have been identified. This is why the initial steps of the management of a pheochromocytoma and/or a paraganglioma now require a dedicated tertiary referral center. The aim of this review is to depict the diagnostic steps of these tumors, so as to allow the clinician to determine the… More >

  • Open Access

    ARTICLE

    Méthodes diagnostiques et stratégie thérapeutique des TNE pulmonaires (tumeurs carcinoïdes typiques et atypiques)*
    Diagnostic Methods and Treatment Strategies for Neuroendocrine Tumours (Typical and Atypical Carcinoid Tumours)

    E. Dansin

    Oncologie, Vol.21, No.2, pp. 83-89, 2019, DOI:10.3166/onco-2019-0047

    Abstract Typical or atypical bronchial carcinoids are rare tumors. The management of localized forms is essentially based on surgery and their prognosis remains good. The treatment of metastatic forms remains difficult with a low level of evidence. New treatments are emerging (everolimus, Lutatherapy), however, their respective place in the therapeutic algorithm should be clarified. Access to expertise and clinical research via the RENATEN-TENpath network should be promoted.


    Résumé
    Les carcinoïdes bronchiques typiques ou atypiques sont des tumeurs rares. La prise en charge des formes localisées repose essentiellement sur la chirurgie, et leur pronostic reste bon. Le traitement des formes métastatiques demeure difficile et… More >

  • Open Access

    ARTICLE

    Les nouvelles techniques diagnostiques des tumeurs neuroendocrines pancréatiques*
    The New Diagnostic Techniques for Pancreatic Neuroendrocine Tumours

    R. Coriat

    Oncologie, Vol.21, No.2, pp. 75-81, 2019, DOI:10.3166/onco-2019-0046

    Abstract Pancreatic neuroendocrine tumours are the tumours developed at the expense of pancreas and require a specific diagnostic assessment. The imaging assessment of a pancreatic neuroendocrine tumour is useful for diagnosis as well as for surgical/medical treatment. Recently, a number of advances have been made in the field of imaging pancreatic neuroendocrine tumours, in particular in functional imaging using radiolabelled somatostatin analogues. In this review, we approach diagnostic progress by focusing on the advances of recent years. Thus, the interest of conventional imaging (scanner, abdominal ultrasound, and magnetic resonance imaging), ultrasound endoscopy and the place of functional imaging mainly with radiolabelled… More >

  • Open Access

    ARTICLE

    Protocole d’IRM abrégée pour le diagnostic et le dépistage du cancer du sein
    Abbreviated Breast MRI for Diagnostic and Screening of Breast Carcinoma

    G. Oldrini, P. Henrot, F. Marchal

    Oncologie, Vol.21, No.1, pp. 17-21, 2019, DOI:10.3166/onco-2019-0033

    Abstract Breast cancer is the first female cancer in France and its early detection is essential. Breast MRI is an element of choice in its diagnosis but it has high direct and indirect costs because of its duration which slows down its wider use. Given its elements, the use of an abbreviated protocol develops to overcome these disadvantages. Early literature data suggests that this faster examination also allows for a shorter interpretation time. In addition, the sensitivity and specificity of the examination are not inferior to that of the complete protocol. This article explains the new concept and its interest, compares… More >

  • Open Access

    ARTICLE

    Serum Long Non-Coding RNA CCAT2 is a Potential Diagnostic and Prognostic Marker for Gastric Cancer

    Fei Han1, Jianghong Qu2, Fengyue Li1, Dapeng Zhang3, Jiangming Qu4, Guanghua Li5,*

    Oncologie, Vol.23, No.1, pp. 131-140, 2021, DOI:10.32604/Oncologie.2021.014153

    Abstract Aim: This study aims to explore the role of serum long non-coding RNA (lncRNA) colon cancer-associated transcript 2 (CCAT2) as a diagnostic marker for gastric cancer (GC). Methods: We recruited 76 patients with GC admitted to our hospital (the observation group, OG) and 83 healthy volunteers undergoing physical examinations during the same period (the control group, CG). CCAT2 expression was tested and its correlation with clinicopathological characteristics of GC was analyzed. We also explored the value of CCAT2 in assessing the treatment efficacy, predicting the fatality, and evaluating the prognosis of patients. Results: We detected higher CCAT2 levels in OG… More >

  • Open Access

    ARTICLE

    Cloud Based Monitoring and Diagnosis of Gas Turbine Generator Based on Unsupervised Learning

    Xian Ma1, Tingyan Lv2,*, Yingqiang Jin2, Rongmin Chen2, Dengxian Dong2, Yingtao Jia2

    Energy Engineering, Vol.118, No.3, pp. 691-705, 2021, DOI:10.32604/EE.2021.012701

    Abstract The large number of gas turbines in large power companies is difficult to manage. A large amount of the data from the generating units is not mined and utilized for fault analysis. This study focuses on F-class (9F.05) gas turbine generators and uses unsupervised learning and cloud computing technologies to analyse the faults for the gas turbines. Remote monitoring of the operational status are conducted. The study proposes a cloud computing service architecture for large gas turbine objects, which uses unsupervised learning models to monitor the operational state of the gas turbine. Faults such as chamber seal failure, load abnormality… More >

  • Open Access

    ARTICLE

    Implementation of a Subjective Visual Vertical and Horizontal Testing System Using Virtual Reality

    Sungjin Lee1, Min Hong2, Hongly Va1, Ji-Yun Park3,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3669-3679, 2021, DOI:10.32604/cmc.2021.015706

    Abstract Subjective visual vertical (SVV) and subjective visual horizontal (SVH) tests can be used to evaluate the perception of verticality and horizontality, respectively, and can aid the diagnosis of otolith dysfunction in clinical practice. In this study, SVV and SVH screen version tests are implemented using virtual reality (VR) equipment; the proposed test method promotes a more immersive feeling for the subject while using a simple equipment configuration and possessing excellent mobility. To verify the performance of the proposed VR-based SVV and SVH tests, a reliable comparison was made between the traditional screen-based SVV and SVH tests and the proposed method,… More >

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