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  • Open Access


    La genèse systémique d’empreinte pour une maîtrise de l’observation de la Terre

    Mireille Fargette1 , Maud Loireau2, Najet Raouani3 , Thérèse Libourel4

    Revue Internationale de Géomatique, Vol.31, No.1, pp. 135-197, 2022, DOI:10.3166/RIG.31.135-197

    Abstract This work is interested in observation, in scientific knowledge acquired from what is perceived (Link making Sense) from a complex systemic world. The approach leads to proposing the concept of imprint within the interdisciplinary framework “System – Reality – World as perceived – Model” and testing it against data, then to proposing systemic ontology as an approach. This makes it possible to deploy the Link making Shape from the systemic domain to the world as perceived, to analyze and describe the relevant part in the data and to show how the whole of this mostly symbolic work can contribute, with… More >

  • Open Access


    Word Sense Disambiguation Based Sentiment Classification Using Linear Kernel Learning Scheme

    P. Ramya1,*, B. Karthik2

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2379-2391, 2023, DOI:10.32604/iasc.2023.026291

    Abstract Word Sense Disambiguation has been a trending topic of research in Natural Language Processing and Machine Learning. Mining core features and performing the text classification still exist as a challenging task. Here the features of the context such as neighboring words like adjective provide the evidence for classification using machine learning approach. This paper presented the text document classification that has wide applications in information retrieval, which uses movie review datasets. Here the document indexing based on controlled vocabulary, adjective, word sense disambiguation, generating hierarchical categorization of web pages, spam detection, topic labeling, web search, document summarization, etc. Here the… More >

  • Open Access


    Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior

    Junya Tanehashi1, Szuchi Chang2, Takahiro Hirosei3, Masaki Izawa2, Aman Goyal2, Ayumi Takahashi4, Kazuhito Misaji4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2287-2306, 2023, DOI:10.32604/cmes.2023.022432

    Abstract This research aims to quantify driver ride comfort due to changes in damper characteristics between comfort mode and sport mode, considering the vehicle’s inertial behavior. The comfort of riding in an automobile has been evaluated in recent years on the basis of a subjective sensory evaluation given by the driver. However, reflecting driving sensations in design work to improve ride comfort is abstract in nature and difficult to express theoretically. Therefore, we evaluated the human body’s effects while driving scientifically by quantifying the driver’s behavior while operating the steering wheel and the behavior of the automobile while in motion using… More > Graphic Abstract

    Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior

  • Open Access


    ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering

    Byeongmin Choi1, YongHyun Lee1, Yeunwoong Kyung2, Eunchan Kim3,*

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 71-82, 2023, DOI:10.32604/iasc.2023.032783

    Abstract Recently, pre-trained language representation models such as bidirectional encoder representations from transformers (BERT) have been performing well in commonsense question answering (CSQA). However, there is a problem that the models do not directly use explicit information of knowledge sources existing outside. To augment this, additional methods such as knowledge-aware graph network (KagNet) and multi-hop graph relation network (MHGRN) have been proposed. In this study, we propose to use the latest pre-trained language model a lite bidirectional encoder representations from transformers (ALBERT) with knowledge graph information extraction technique. We also propose to applying the novel method, schema graph expansion to recent… More >

  • Open Access


    An Efficient Encryption and Compression of Sensed IoT Medical Images Using Auto-Encoder

    Passent El-kafrawy1,2, Maie Aboghazalah2,*, Abdelmoty M. Ahmed3, Hanaa Torkey4, Ayman El-Sayed4

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 909-926, 2023, DOI:10.32604/cmes.2022.021713

    Abstract Healthcare systems nowadays depend on IoT sensors for sending data over the internet as a common practice. Encryption of medical images is very important to secure patient information. Encrypting these images consumes a lot of time on edge computing; therefore, the use of an auto-encoder for compression before encoding will solve such a problem. In this paper, we use an auto-encoder to compress a medical image before encryption, and an encryption output (vector) is sent out over the network. On the other hand, a decoder was used to reproduce the original image back after the vector was received and decrypted.… More >

  • Open Access


    Long noncoding RNA TFAP2A-AS1 exerts promotive effects in non-small cell lung cancer progression via controlling the microRNA-548a-3p/CDK4 axis as a competitive endogenous RNA


    Oncology Research, Vol.29, No.2, pp. 129-139, 2021, DOI:10.32604/or.2022.03563

    Abstract In this study, we mainly focus on probing expression profile and detailed functions of long non-coding RNA TFAP2A antisense RNA 1 (TFAP2A-AS1) in non-small cell lung cancer (NSCLC). Moreover, the mechanisms played by TFAP2A-AS1 were unraveled comprehensively. Herein, a notable overexpressed TFAP2A-AS1 in NSCLC was observed by TCGA and our own cohort. An increased TFAP2A-AS1 level displayed a negative correlation with the overall survival of patients with NSCLC. Loss-of-function approaches illustrated that the absence of TFAP2A-AS1 weakened NSCLC cell proliferation, colony formation, migration and invasion in vitro. Also, interference of TFAP2A-AS1 caused in vivo tumor growth suppression. Mechanistically, TFAP2A-AS1 could… More >

  • Open Access


    The lncRNA FEZF1-AS1 Promotes the Progression of Colorectal Cancer Through Regulating OTX1 and Targeting miR-30a-5p

    Jing Li*†, Lian-mei Zhao, Cong Zhang, Meng Li§, Bo Gao, Xu-hua Hu, Jian Cao, Gui-ying Wang

    Oncology Research, Vol.28, No.1, pp. 51-63, 2020, DOI:10.3727/096504019X15619783964700

    Abstract Long noncoding RNAs (lncRNAs) participate in and regulate the biological process of colorectal cancer (CRC) progression. Our previous research identified differentially expressed lncRNAs in 10 CRC tissues and 10 matched nontumor tissues by next-generation sequencing (NGS). In this study, we identified an lncRNA, FEZF1 antisense RNA 1 (FEZF1-AS1), and further explored its function and mechanism in CRC. We verified that FEZF1-AS1 is highly expressed in CRC tissues and cell lines. Through functional experiments, we found that reduced levels of FEZF1-AS1 significantly suppressed CRC cell migration, invasion, and proliferation and inhibited tumor growth in vivo. Mechanistically, we discovered that reduced levels… More >

  • Open Access


    Retraction notice to “Highly Expressed Antisense Noncoding RNA in the INK4 Locus Promotes Growth and Invasion of Renal Clear Carcinoma Cells via the β-Catenin Pathway” [Oncology Research 25(8) (2017) 1373–1382]

    Qingchun Li*, Yuan Tian, Guangrui Hu, Yun Liang, Wei Bai, Hongjun Li

    Oncology Research, Vol.28, No.9, pp. 973-973, 2020, DOI:10.3727/096504021X16303158875079

    Abstract This article has no abstract. More >

  • Open Access


    Cache Memory Design for Single Bit Architecture with Different Sense Amplifiers

    Reeya Agrawal1,*, Anjan Kumar1, Salman A. AlQahtani2, Mashael Maashi3, Osamah Ibrahim Khalaf4, Theyazn H. H. Aldhyani5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2313-2331, 2022, DOI:10.32604/cmc.2022.029019

    Abstract Most modern microprocessors have one or two levels of on-chip caches to make things run faster, but this is not always the case. Most of the time, these caches are made of static random access memory cells. They take up a lot of space on the chip and use a lot of electricity. A lot of the time, low power is more important than several aspects. This is true for phones and tablets. Cache memory design for single bit architecture consists of six transistors static random access memory cell, a circuit of write driver, and sense amplifiers (such as voltage… More >

  • Open Access


    Papaya Ring Spot Virus: An Understanding of a Severe Positive-Sense Single Stranded RNA Viral Disease and Its Management

    Muhammad Umer1, Mustansar Mubeen2, Yasir Iftikhar2,*, Haider Ali3, Muhammad Zafar-ul-Hye4, Rafia Asghar5, Mazhar Abbas6, Malik Abdul Rehman7, Ernesto A. Moya-Elizondo8, Yuejun He1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2099-2110, 2022, DOI:10.32604/phyton.2022.022013

    Abstract Viral diseases have been studied in-depth for reducing quality, yield, health and longevity of the fruit, to highlight the economic losses. Positive-sense single-stranded RNA viruses are more devastating among all viruses that infect fruit trees. One of the best examples is papaya ringspot virus (PRSV). It belongs to the genus Potyvirus and it is limited to cause diseases on the family Chenopodiaceae, Cucurbitaceae and Caricaceae. This virus has a serious threat to the production of papaya, which is famous for its high nutritional and pharmaceutical values. The plant parts such as leaves, latex, seeds, fruits, bark, peel and roots may… More >

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