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 >

P. Ramya^1,*, 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 >

Junya Tanehashi¹, Szuchi Chang², Takahiro Hirosei³, Masaki Izawa², Aman Goyal², Ayumi Takahashi⁴, Kazuhito Misaji^4,*

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

Byeongmin Choi¹, YongHyun Lee¹, Yeunwoong Kyung², Eunchan Kim^3,*

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 >

Passent El-kafrawy^1,2, Maie Aboghazalah^2,*, 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 >

YANG ZHANG, LIXIA MA, TINGTING ZHANG, PEIDONG LI, JIABIN XU, ZHUO WANG^*

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 >

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 >

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 >

Reeya Agrawal^1,*, 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 >

Muhammad Umer¹, Mustansar Mubeen², Yasir Iftikhar^2,*, Haider Ali³, Muhammad Zafar-ul-Hye⁴, Rafia Asghar⁵, Mazhar Abbas⁶, Malik Abdul Rehman⁷, Ernesto A. Moya-Elizondo⁸, Yuejun He^1,*

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 >