Abdelwahed Motwakel^1,*, Najm Alotaibi², Eatedal Alabdulkreem³, Hussain Alshahrani⁴, Mohamed Ahmed Elfaki⁴, Mohamed K Nour⁵, Radwa Marzouk⁶, Mahmoud Othman⁷

Computer Systems Science and Engineering, Vol.47, No.1, pp. 1249-1266, 2023, DOI:10.32604/csse.2023.034227

Abstract Sentiment Analysis (SA) of natural language text is not only a challenging process but also gains significance in various Natural Language Processing (NLP) applications. The SA is utilized in various applications, namely, education, to improve the learning and teaching processes, marketing strategies, customer trend predictions, and the stock market. Various researchers have applied lexicon-related approaches, Machine Learning (ML) techniques and so on to conduct the SA for multiple languages, for instance, English and Chinese. Due to the increased popularity of the Deep Learning models, the current study used diverse configuration settings of the Convolution Neural Network (CNN) model and conducted… More >

Lohit Sharma^a , Sunil Kumar^a , Robin Thakur^a , Bhaskar Goel^a , Amar Raj Singh Suri^a , Sashank Thapa^a , Nitin Kumar^a , Rajesh Maithani^b , Anil Kumar^b

Frontiers in Heat and Mass Transfer, Vol.14, No.1, pp. 1-15, 2020, DOI:10.5098/hmt.14.30

Abstract This article presents an extensive review on exergy analysis of nanofluid flow through heat exchanger channels. The improvement of exergy efficiency of nanofluid flow through heat exchanger are determined by the net impact of the relative variations in the thermophysical properties of the nanoparticle which are sensitive towards numerous parameters including size and shape, material and concentration as well as base fluid thermal properties. Exergy efficiency of nanofluids flowing through heat exchanger is greater as compare to simple conventional fluids. The augmentation of exergy efficiency in the nanofluid flow through heat exchangers can be achieved by breaking laminar sub layer… More >

Hao Guo^a , Xianbing Ji^a,b,1 , Jinliang Xu^a,b

Frontiers in Heat and Mass Transfer, Vol.14, No.1, pp. 1-16, 2020, DOI:10.5098/hmt.14.14

Abstract With fast development of electronic devices, novel strategies of thermal management have been received great attention to dissipate high heat fluxes. As an efficient heat transfer device, loop heat pipe (LHP) provides ideal solution for such purpose. Even though LHP was invented nearly half-century ago, challenges still exist on its design, fabrication and operation. The objective of this paper is to present a thorough review on LHPs, paying more attention on the working principle, advantage and configuration. The review is performed in three aspects. First, the macroscopic operation characteristics such as start-up, temperature fluctuations and anti-gravity operation are described. Second,… More >

Armin Saed-Moucheshi^1,*, Elham Rezaei Mirghaed²

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 1921-1941, 2023, DOI:10.32604/phyton.2023.027810

Abstract

One of the main reasons of the annual reduction in plant production all around the world is the occurrence of abiotic stresses as a result of an unpredicted changes in environmental conditions. Abiotic stresses basically trigger numerous pathways related to oxygen free radicals’ generation resulting in a higher rate of reactive oxygen species (ROS) production. Accordingly, higher rate of oxygen free radicals than its steady state causes to oxidize various types of molecules and compartments within the plants’ cells and tissues. Oxidative stress is the result of high amount free radicals of oxygen interfering with different functions leading to undergo… More >

WENFEI GE^1,#, SHIYAN SONG^1,#, XIAOCHEN QI^1,#, FENG CHEN^1,#, XIANGYU CHE¹, YONGHAO SUN¹, JIN WANG¹, XIAOWEI LI², NANA LIU³, QIFEI WANG^1,*, GUANGZHEN WU^1,*

Oncology Research, Vol.31, No.3, pp. 255-270, 2023, DOI:10.32604/or.2023.027942

Abstract As a common tumor of the urinary system, the morbidity and mortality related to renal carcinoma, are increasing annually. Clear cell renal cell carcinoma (CCRCC) is the most common subtype of renal cell carcinoma, accounting for approximately 75% of the total number of patients with renal cell carcinoma. Currently, the clinical treatment of ccRCC involves targeted therapy, immunotherapy, and a combination of the two. In immunotherapy, PD-1/PD-L1 blocking of activated T cells to kill cancer cells is the most common treatment. However, as treatment progresses, some patients gradually develop resistance to immunotherapy. Meanwhile, other patients experience great side effects after… More > Graphic Abstract

C. Eira Nunes, B. Mouton, S. Van Petegem

Psycho-Oncologie, Vol.16, No.4, pp. 351-358, 2022, DOI:10.3166/pson-2022-0216

Abstract This article, although not systematically, presents a state of the art of the existing theoretical and empirical literature on parental overprotection in families with a child suffering from cancer. We address the characteristics of overprotection as well as the question of whether this parenting behavior can be adaptive or deleterious for the child in this specific situation. This review also identifies some family and societal factors that may promote overprotection in mothers and fathers and highlights the importance of the broader family and societal context when studying parenting in pediatric oncology.

Résumé
Cet article, bien que non exhaustif, présente… More >

Tiantian Liu¹, Huimin Pang¹, Suoying He^1,*, Bin Zhao², Zhiyu Zhang¹, Jucheng Wang³, Zhilan Liu⁴, Xiang Huang⁵, Yuetao Shi¹, Ming Gao¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2229-2266, 2023, DOI:10.32604/fdmp.2023.027239

Abstract A review is conducted about the application of the evaporative cooling technology in thermal power plants. Different case studies are considered, namely, evaporative air conditioners, evaporative cooling in direct air-cooled systems, gas turbine inlet cooling, wet cooling towers, and hybrid cooling towers with a crosswind effect. Some effort is provided to describe the advantages related to direct evaporative cooling when it is applied in thermal power plants and illustrate the research gaps, which have not been filled yet. In particular, typical case studies are intentionally used to compare the cooling performances when direct evaporative cooling is implemented in different types… More > Graphic Abstract

Alia Alshehri, Duaa AlSaeed^*

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 939-970, 2023, DOI:10.32604/iasc.2023.037096

Abstract One of the most prevalent cancers in women is breast cancer. Early and accurate detection can decrease the mortality rate associated with breast cancer. Governments and health organizations emphasize the significance of early breast cancer screening since it is associated to a greater variety of available treatments and a higher chance of survival. Patients have the best chance of obtaining effective treatment when they are diagnosed early. The detection and diagnosis of breast cancer have involved using various image types and imaging modalities. Breast “infrared thermal” imaging is one of the imaging modalities., a screening instrument used to measure the… More >

Hala J. Alshahrani¹, Abdulbaset Gaddah², Ehab S. Alnuzaili³, Mesfer Al Duhayyim^4,*, Heba Mohsen⁵, Ishfaq Yaseen⁶, Amgad Atta Abdelmageed⁶, Gouse Pasha Mohammed⁶

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 283-300, 2023, DOI:10.32604/iasc.2023.035334

Abstract Sentiment analysis (SA) is a growing field at the intersection of computer science and computational linguistics that endeavors to automatically identify the sentiment presented in text. Computational linguistics aims to describe the fundamental methods utilized in the formation of computer methods for understanding natural language. Sentiment is classified as a negative or positive assessment articulated through language. SA can be commonly used for the movie review classification that involves the automatic determination that a review posted online (of a movie) can be negative or positive toward the thing that has been reviewed. Deep learning (DL) is becoming a powerful machine… More >

Shroog Alshomrani^*, Muhammad Arif, Mohammed A. Al Ghamdi

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5717-5742, 2023, DOI:10.32604/cmc.2023.038059

Abstract Coronavirus has infected more than 753 million people, ranging in severity from one person to another, where more than six million infected people died worldwide. Computer-aided diagnostic (CAD) with artificial intelligence (AI) showed outstanding performance in effectively diagnosing this virus in real-time. Computed tomography is a complementary diagnostic tool to clarify the damage of COVID-19 in the lungs even before symptoms appear in patients. This paper conducts a systematic literature review of deep learning methods for classifying the segmentation of COVID-19 infection in the lungs. We used the methodology of systematic reviews and meta-analyses (PRISMA) flow method. This research aims… More >