Xuyang Yao^1,*, Kecheng Liu¹, Zenan Zhou¹, Jun Zhou¹, Xianbin Huang², Tiemei Lu¹, Yongsheng Yu¹, He Li²

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.7, pp. 1775-1787, 2023, DOI:10.32604/fdmp.2023.025843

Abstract Water-based drilling fluids can cause hydration of the wellbore rocks, thereby leading to instability. This study aimed to synthesize a hydrophobic small-molecule polymer (HLMP) as an inhibitor to suppress mud shale hydration. An infrared spectral method and a thermogravimetric technique were used to characterize the chemical composition of the HLMP and evaluate its heat stability. Experiments were conducted to measure the linear swelling, rolling recovery rate, and bentonite inhibition rate and evaluate accordingly the inhibition performance of the HLMP. Moreover, the HLMP was characterized through measurements of the zeta potential, particle size distribution, contact angles, and interlayer space testing. As… More > Graphic Abstract

SANDRA STICKLER¹, BARBARA RATH¹, MAXIMILIAN HOCHMAIR², CLEMENS LANG³, LUKAS WEIGL⁴, GERHARD HAMILTON^1,*

Oncology Research, Vol.31, No.1, pp. 13-22, 2023, DOI:10.32604/or.2022.027281

Abstract Small cell lung cancer (SCLC) is frequently disseminated and has a dismal prognosis with survival times of approximately two years. This cancer responds well to initial chemotherapy but recurs within a short time as a globally chemoresistant tumor. Circulating tumor cells (CTCs) are held responsible for metastasis, the extremely high numbers of these cells in advanced SCLC allowed us to establish several permanent CTC cell lines. These CTCs are distinguished by the spontaneous formation of large spheroids, termed tumorospheres, in regular tissue culture. These contain quiescent and hypoxic cells in their interior and are associated with high chemoresistance compared to… More >

Mohammed Albuaymi¹, Suleiman Abdulrahman^2,3, Fayez Alanazi⁴, Hani Alanazi^1,*, Musa Adamu^5,6

Journal of Renewable Materials, Vol.11, No.5, pp. 2433-2451, 2023, DOI:10.32604/jrm.2023.026751

Abstract Pure bitumen is not suitable for heavy traffic loads; hence modifiers are used to improve the bitumen performance. Recently, cup lump rubber (CLR) has become a preferred modifier due to its outstanding performance and less cost. However, little is known about the interactions between CLR and bitumen. Thus, this study investigates the behavior of bitumen with CLR. Four percentages of CLR (2.5%, 5.0%, 7.5%, and 10.0% by weight of bitumen) were used to modify conventional 60/70 penetration grade bitumen. The modified bitumen was evaluated through different laboratory testing such as dynamic shear rheometer, rotational viscosity, softening point, bending beam rheometer,… More >

Manar Ahmed Hamza^1,*, Hala J. Alshahrani², Jaber S. Alzahrani³, Heba Mohsen⁴, Mohamed I. Eldesouki⁵, Mohammed Rizwanullah¹

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2619-2635, 2023, DOI:10.32604/csse.2023.034519

Abstract Aspect-Based Sentiment Analysis (ABSA) on Arabic corpus has become an active research topic in recent days. ABSA refers to a fine-grained Sentiment Analysis (SA) task that focuses on the extraction of the conferred aspects and the identification of respective sentiment polarity from the provided text. Most of the prevailing Arabic ABSA techniques heavily depend upon dreary feature-engineering and pre-processing tasks and utilize external sources such as lexicons. In literature, concerning the Arabic language text analysis, the authors made use of regular Machine Learning (ML) techniques that rely on a group of rare sources and tools. These sources were used for… More >

Aisha M. Mashraqi, Hanan T. Halawani^*

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2555-2570, 2023, DOI:10.32604/csse.2023.031246

Abstract Sentiment Analysis (SA) is one of the Machine Learning (ML) techniques that has been investigated by several researchers in recent years, especially due to the evolution of novel data collection methods focused on social media. In literature, it has been reported that SA data is created for English language in excess of any other language. It is challenging to perform SA for Arabic Twitter data owing to informal nature and rich morphology of Arabic language. An earlier study conducted upon SA for Arabic Twitter focused mostly on automatic extraction of the features from the text. Neural word embedding has been… More >

Ansam A. Abdulhussien^1,2,*, Mohammad F. Nasrudin¹, Saad M. Darwish³, Zaid A. Alyasseri¹

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 219-242, 2023, DOI:10.32604/cmc.2023.033331

Abstract Signature verification is regarded as the most beneficial behavioral characteristic-based biometric feature in security and fraud protection. It is also a popular biometric authentication technology in forensic and commercial transactions due to its various advantages, including noninvasiveness, user-friendliness, and social and legal acceptability. According to the literature, extensive research has been conducted on signature verification systems in a variety of languages, including English, Hindi, Bangla, and Chinese. However, the Arabic Offline Signature Verification (OSV) system is still a challenging issue that has not been investigated as much by researchers due to the Arabic script being distinguished by changing letter shapes,… More >

Sanyou Yan^1,*, Huaqing Yan²

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 249-263, 2023, DOI:10.32604/ijmhp.2023.023031

Abstract The purpose of this study is to observe the occupational stress and chronic anxiety of college teachers and to carry out alternate activities of aerobic exercise to improve their mental health, the participants are 214 teachers from three universities in Yunnan Province, China. The results show that before the experiment, the overall situation of college teachers’ occupational stress and chronic anxiety is at a high level, while after the experiment, the occupational stress and chronic anxiety of college teachers are significantly relieved. In terms of gender, male teachers have higher occupational stress and chronic anxiety than female teachers before the… More >

LIJUN DU¹, KAIKAI DOU¹, NIANHAI LIANG^1,2, JIANMIN SUN¹, RU BAI^1,*

BIOCELL, Vol.47, No.3, pp. 547-554, 2023, DOI:10.32604/biocell.2023.025048

Abstract Background: The Warburg effect is considered as a hallmark of various types of cancers, while the regulatory mechanism is poorly understood. Our previous study demonstrated that miR-194-5p directly targets and regulates insulin-like growth factor1 receptor (IGF1R). In this study, we aimed to investigate the role of miR-194-5p in the regulation of the Warburg effect in ovarian cancer cells. Methods: The stable ovarian cell lines with miR-194-5p overexpression or silencing IGF1R expression were established by lentivirus infection. ATP generation, glucose uptake, lactate production and extracellular acidification rate (ECAR) assay were used to analyze the effects of aerobic glycolysis in ovarian cancer… More >

Moeen Tayyab¹, Ayyaz Hussain^2,*, Usama Mir³, M. Aqeel Iqbal⁴, Muhammad Haneef⁵

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6177-6193, 2023, DOI:10.32604/cmc.2023.034669

Abstract The news ticker is a common feature of many different news networks that display headlines and other information. News ticker recognition applications are highly valuable in e-business and news surveillance for media regulatory authorities. In this paper, we focus on the automatic Arabic Ticker Recognition system for the Al-Ekhbariya news channel. The primary emphasis of this research is on ticker recognition methods and storage schemes. To that end, the research is aimed at character-wise explicit segmentation using a semantic segmentation technique and words identification method. The proposed learning architecture considers the grouping of homogeneous-shaped classes. This incorporates linguistic taxonomy in… More >

Badriyya B. Al-onazi¹, Saud S. Alotaib², Saeed Masoud Alshahrani^3,*, Najm Alotaibi⁴, Mrim M. Alnfiai⁵, Ahmed S. Salama⁶, Manar Ahmed Hamza⁷

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5447-5465, 2023, DOI:10.32604/cmc.2023.033564

Abstract The text classification process has been extensively investigated in various languages, especially English. Text classification models are vital in several Natural Language Processing (NLP) applications. The Arabic language has a lot of significance. For instance, it is the fourth mostly-used language on the internet and the sixth official language of the United Nations. However, there are few studies on the text classification process in Arabic. A few text classification studies have been published earlier in the Arabic language. In general, researchers face two challenges in the Arabic text classification process: low accuracy and high dimensionality of the features. In this… More >