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  • Open Access

    ARTICLE

    Diagnosis of Lung Cancer Based on Plasma Metabolomics Combined with Serum Markers

    Dong Zhang1,#, Lingxia Tong2,#, Qingjun Wang1, Yunfeng Cao3, Yu Gao1, Donghua Yang1, Tianhao Bao4,5, Zhitu Zhu1,*

    Oncologie, Vol.22, No.2, pp. 75-82, 2020, DOI:10.32604/oncologie.2020.012376

    Abstract Predicting the onset and metastasis of early tumor is the primary means of improving lung cancer prognosis. The purpose of this study was to identify the ability of plasma metabolomics combined with blood markers to establish benign lung disease versus lung cancer regression models. Blood samples were collected from 174 lung cancer patients, 350 benign lung disease patients and 100 healthy volunteers and the metabolites were analyzed by mass spectrometry. The target metabolites consisted of 23 amino acids, 26 acylcarnitines and 45 conventional blood markers. A regression analysis model was established based on 12 metabolites… More >

  • Open Access

    ARTICLE

    The Relationship BRCA1/2 Genes and Family History in Ovarian Cancers

    Neslihan Duzkale1,*, Hikmet Taner Teker2

    Oncologie, Vol.22, No.2, pp. 65-74, 2020, DOI:10.32604/oncologie.2020.013707

    Abstract BRCA1/2 genes are responsible for the hereditary breast and ovarian cancer syndrome. In this study, Turkish women with ovarian cancer were investigated in terms of demographic, clinicopathologic and family cancer stories according to their condition of the BRCA1/2 genes mutation carrier. During 2011 to 2017 in Turkey, BRCA1 and BRCA2 genes were analyzed in 38 women, who were diagnosed with cancer using Next Generation Sequencing technique. Pathogenic mutations were detected in 9 (23.7%) of patients. The diagnosis age for Ovarian cancer patients for BRCA1/2 mutation carriers was found higher. It was seen that mutations mostly occurred in the… More >

  • Open Access

    REVIEW

    A Narrative Review: Classification of Pap Smear Cell Image for Cervical Cancer Diagnosis

    Wan Azani Mustafa1,*, Afiqah Halim1, Khairul Shakir Ab Rahman2

    Oncologie, Vol.22, No.2, pp. 53-63, 2020, DOI:10.32604/oncologie.2020.013660

    Abstract Cervical cancer develops as cells transformation in the cervix of a female that connects the uterus to the vagina. This cancer may impact the columnal epithelial cells of the cervix and therefore can be expanded to the lymphatic and circulatory system (metastasize), sometimes the kidneys, liver, prostate, vagina, and rectum. Many of the cervical cancer patients survived by taking early prevention by undergoing a Pap Smear Test. However, the result of the test usually takes a few weeks which is extremely time-consuming especially at the government hospital. The purpose of this research was to study… More >

  • Open Access

    ARTICLE

    Application of Wireless Network Positioning Technology Based on GPS in Geographic Information Measurement

    Yaping Mao1, Kaiyong Li2, Duolu Mao2,*

    Journal of New Media, Vol.2, No.3, pp. 131-135, 2020, DOI:10.32604/jnm.2020.012815 - 04 September 2020

    Abstract Based on the analysis of the advantages and disadvantages of GPS positioning system in practical application, this paper proposes the combination of wireless network positioning technology and GPS positioning system to overcome the low accuracy of GPS positioning system in the case of occlusion. This paper introduces in detail the principle of the application of wireless network positioning technology based on GPS positioning system in geographic information measurement, and illustrates its practical application in production by taking coal mine positioning as an example. More >

  • Open Access

    ARTICLE

    Emotion Recognition Using WT-SVM in Human-Computer Interaction

    Zequn Wang, Rui Jiao, Huiping Jiang*

    Journal of New Media, Vol.2, No.3, pp. 121-130, 2020, DOI:10.32604/jnm.2020.010674 - 04 September 2020

    Abstract With the continuous development of the computer, people's requirements for computers are also getting more and more, so the brain-computer interface system (BCI) has become an essential part of computer research. Emotion recognition is an important task for the computer to understand social status in BCI. Affective computing (AC) aims to develop the model of emotions and advance the affective intelligence of computers. There are various emotion recognition approaches. The method based on electroencephalogram (EEG) is more reliable because it is higher in accuracy and more objective in evaluation than other external appearance clues such… More >

  • Open Access

    ARTICLE

    An Intelligent Tumors Coding Method Based on Drools

    Panjie Yang1,*,#, Gang Liu2,#, Xiaoyu Li1,*, Liyuan Qin1, Xiaoxia Liu3

    Journal of New Media, Vol.2, No.3, pp. 111-119, 2020, DOI:10.32604/jnm.2020.010135 - 04 September 2020

    Abstract In order to solve the problems of low efficiency and heavy workload of tumor coding in hospitals, we proposed a Drools-based intelligent tumors coding method. At present, most tumor hospitals use manual coding, the trained coders follow the main diagnosis selection rules to select the main diagnosis from the discharge diagnosis of the tumor patients, and then code all the discharge diagnoses according to the coding rules. Owing to different coders have different familiarity with the main diagnosis selection rules and ICD-10 disease coding, it will reduce the efficiency of the artificial coding results and… More >

  • Open Access

    ARTICLE

    Research on Prediction Methods of Energy Consumption Data

    Ning Chen1, Naernaer Xialihaer2,3, Weiliang Kong3, Jiping Ren2,3,*

    Journal of New Media, Vol.2, No.3, pp. 99-109, 2020, DOI:10.32604/jnm.2020.09889 - 04 September 2020

    Abstract This paper analyzes the energy consumption situation in Beijing, based on the comparison of common energy consumption prediction methods. Here we use multiple linear regression analysis, grey prediction, BP neural net-work prediction, grey BP neural network prediction combined method, LSTM long-term and short-term memory network model prediction method. Firstly, before constructing the model, the whole model is explained theoretically. The advantages and disadvantages of each model are analyzed before the modeling, and the corresponding advantages and disadvantages of these models are pointed out. Finally, these models are used to construct the Beijing energy forecasting model, More >

  • Open Access

    ARTICLE

    Security of Chip Bank Card in Remote Payment Based on Risk Feature

    Zheng Fang1,∗, Junyun Cai1, Lifang Tian2

    Computer Systems Science and Engineering, Vol.35, No.4, pp. 299-305, 2020, DOI:10.32604/csse.2020.35.299

    Abstract Payment is a necessary thing in people’s daily life, and the development of the Internet makes it possible that people can shop at home. As for chip bank card, it is an important payment method that has been developed in recent years and plays a key role in remote payment. In this study, firstly, the risk features of chip bank cards were analyzed from the general remote payment scheme. Then, based on the security technology theory, a chip bank card remote payment model using elliptic curve hybrid encryption algorithm and identity authentication technology was constructed. More >

  • Open Access

    ARTICLE

    Decision Tree Algorithm for Precision Marketing via Network Channel

    Yulan Zheng

    Computer Systems Science and Engineering, Vol.35, No.4, pp. 293-298, 2020, DOI:10.32604/csse.2020.35.293

    Abstract With the development of e-commerce, more and more enterprises attach importance to precision marketing for network channels. This study adopted the decision tree algorithm in data mining to achieve precision marketing. Firstly, precision marketing and C4.5 decision tree algorithm were briefly introduced. Then e-commerce enterprise A was taken as an example. The data from January to June 2018 were collected. Four attributes including age, income, occupation and educational background were selected for calculation and decision tree was established to extract classification rules.The results showed that the consumers of the products of the company were high-income More >

  • Open Access

    ARTICLE

    Cost Effective Smart System for Water Pollution Control with Underwater Wireless Sensor Networks: A Simulation Study

    Muhammed Enes Bayrakdar

    Computer Systems Science and Engineering, Vol.35, No.4, pp. 283-292, 2020, DOI:10.32604/csse.2020.35.283

    Abstract The underwater sensor network is a rapidly developing area of research with a wide range of applications such as data collection in the ocean, pollution monitoring, and ocean sampling. One of the most researched areas is the coverage of underwater sensor networks, which are the basis of many applications. The coverage is usually related to how effectively a network is monitored by the sensor. There are major problems in the ocean or marine region, especially in water pollution. Underwater pollution generally causes acidification, plastic residues, and toxins. Today, the determination of this pollution is carried More >

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