PARISA SHIRI AGHBASH^1,2,4, NIMA HEMMAT¹, BEHZAD BARADARAN^1,3, AHAD MOKHTARZADEH¹, VAHDAT POORTAHMASEBI^2,4, MAHIN AHANGAR OSKUEE^2,4, HOSSEIN BANNAZADEH BAGHI^1,2,4,*

Oncology Research, Vol.30, No.3, pp. 99-116, 2022, DOI:10.32604/or.2022.026776

Abstract Infection with high-risk human papillomavirus (HPV), including HPV-16 and HPV-18, is the main cause of malignancies, such as cervical cancer. Viral oncoproteins encoded by HPV are expressed in HPV-positive cancers and associated with the early cancer stages and the transformation of normal cells. The signaling pathways involved in the transformation of normal cells to cancerous form and the subsequently expressed programmed cell death-ligand 1 (PD-L1) on the surface of the transformed cells lead to a disruption in recognition of tumor cells by the immune cell system, including T lymphocytes and dendritic cells which lead to the development of cervical cancer… More > Graphic Abstract

Zhengguang Liu¹, Jun Yang¹, Tobi Fadiji², Zhiguo Li^1,*, Jiheng Ni³

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1071-1090, 2023, DOI:10.32604/phyton.2023.026408

Abstract Wind disturbance as a green method can effectively prevent the overgrowth of tomato seedlings, and its mechanism may be related to root system mechanics. This study characterized the biophysical mechanical properties of taproot and lateral roots of tomato seedlings at five seedling ages and seedling substrates with three different moisture content. The corresponding root system-substrate finite element (FE) model was then developed and validated. The study showed that seedling age significantly affected the biomechanical properties of the taproot and lateral roots of the seedlings and that moisture content significantly affected the biomechanical properties of the seedling substrate (p < 0.05).… More >

Rab Nawaz Bashir¹, Imran Sarwar Bajwa², Muhammad Waseem Iqbal^3,*, Muhammad Usman Ashraf⁴, Ahmed Mohammed Alghamdi⁵, Adel A. Bahaddad⁶, Khalid Ali Almarhabi⁷

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1915-1930, 2023, DOI:10.32604/iasc.2023.030844

Abstract Soil salinity is a serious land degradation issue in agriculture. It is a major threat to agriculture productivity. Extra irrigation water is applied to leach down the salts from the root zone of the plants in the form of a Leaching fraction (LF) of irrigation water. For the leaching process to be effective, the LF of irrigation water needs to be adjusted according to the environmental conditions and soil salinity level in the form of Evapotranspiration (ET) rate. The relationship between environmental conditions and ET rate is hard to be defined by a linear relationship and data-driven Machine learning (ML)… More >

Jinggan Shao^1,2, Jiao Ma¹, Renlong Liu¹, Ye Liu³, Pu Zhang^1,*, Yi Tang⁴, Yunjun Huang²

Structural Durability & Health Monitoring, Vol.16, No.4, pp. 291-305, 2022, DOI:10.32604/sdhm.2022.015097

Abstract In this paper, a notched three-point bending test is used to study the fracture performance of the short basalt fiber bundle reinforced concrete (SBFBRC). To compare and analyze the enhancement effect of different diameters and different content of basalt fiber bundles on the fracture performance of concrete, some groups are set up, and the P-CMOD curves of each group of specimens are measured, and the fracture toughness and fracture energy of each control group are calculated. The fracture toughness and fracture energy are two important fracture performance parameters to study the effect and law of the new basalt fiber bundles… More >

Mousa Alhajlah^*

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6161-6175, 2023, DOI:10.32604/cmc.2023.032505

Abstract Automated Facial Expression Recognition (FER) serves as the backbone of patient monitoring systems, security, and surveillance systems. Real-time FER is a challenging task, due to the uncontrolled nature of the environment and poor quality of input frames. In this paper, a novel FER framework has been proposed for patient monitoring. Preprocessing is performed using contrast-limited adaptive enhancement and the dataset is balanced using augmentation. Two lightweight efficient Convolution Neural Network (CNN) models MobileNetV2 and Neural search Architecture Network Mobile (NasNetMobile) are trained, and feature vectors are extracted. The Whale Optimization Algorithm (WOA) is utilized to remove irrelevant features from these… More >

Rachedi Khadraoui¹, Latra Boumaraf^1,*, Philippe Haberschill²

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.5, pp. 1115-1128, 2023, DOI:10.32604/fdmp.2022.022674

Abstract A theoretical investigation is presented about a double evaporator ejector refrigeration cycle (DEERC). Special attention is paid to take into account the influence of the sub-cooling and superheating effects induced by an internal heat exchanger (IHX). The ejector is introduced into the baseline cycle in order to mitigate the throttling process losses and increase the compressor suction pressure. Moreover, the IHX has the structure of a concentric counter-flow type heat exchanger and is intentionally used to ensure that the fluid at the compressor inlet is vapor. To assess accurately the influence of the IHX on the DEERC performance, a mathematical… More > Graphic Abstract

Huong Thi Thanh Ngo¹, Nguyen Duc Dam¹, Quynh-Anh Thi Bui¹, Nadhir Al-Ansari^2,*, Romulus Costache^3,4,*, Hang Ha⁵, Quynh Duy Bui⁵, Sy Hung Mai⁶, Indra Prakash⁷, Binh Thai Pham¹

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2219-2241, 2023, DOI:10.32604/cmes.2023.022566

Abstract Flash floods are one of the most dangerous natural disasters, especially in hilly terrain, causing loss of life, property, and infrastructures and sudden disruption of traffic. These types of floods are mostly associated with landslides and erosion of roads within a short time. Most of Vietnam is hilly and mountainous; thus, the problem due to flash flood is severe and requires systematic studies to correctly identify flood susceptible areas for proper landuse planning and traffic management. In this study, three Machine Learning (ML) methods namely Deep Learning Neural Network (DL), Correlation-based Feature Weighted Naive Bayes (CFWNB), and Adaboost (AB-CFWNB) were… More >

Alla Abbas Khadir¹, Seyed Amin Hosseini Seno^1,2,*, Baydaa Fadhil Dhahir^2,3, Rahmat Budiarto⁴

Computer Systems Science and Engineering, Vol.45, No.2, pp. 2223-2234, 2023, DOI:10.32604/csse.2023.032316

Abstract Fog computing became a traditional OffLad Destination (OLD) to compute the offloaded tasks of the Internet of Vehicles (IoV). Nevertheless, the limited computing resources of the fog node leads to re-offload these tasks to the neighboring fog nodes or the cloud. Thus, the IoV will incur additional offloading costs. In this paper, we propose a new offloading scheme by utilizing RoadSide Parked Vehicles (RSPV) as an alternative OLD for IoV. The idle computing resources of the RSPVs can compute large tasks with low offloading costs compared with fog nodes and the cloud. Finally, a performance evaluation of the proposed scheme… More >

Ge Wang, Linbi Chen, Haiying Zhou^*, Shanyu Han, Fuming Chen^*

Journal of Renewable Materials, Vol.11, No.3, pp. 1499-1511, 2023, DOI:10.32604/jrm.2022.025130

Abstract To overcome warping in thin bamboo bundle veneer laminated composites (TBLC), their hydrothermal deformation characteristics were systematically investigated in this study. It was found that TBLCs accelerated the release of internal stress in the thickness direction in a hydrothermal environment, which increased their warpage. TBLCs showed increased warpage in the width and diagonal directions upon increasing the temperature. The warpage of Type E increased by 155.88% and 66.67% in the width and diagonal directions, respectively, when the temperature increased from 25 C to 100 C. The symmetrical TBLC with cross-lay-up and odd layers displayed better hydrothermal stability. We revealed that… More >

Marwan H. Hassan¹, Saad M. Darwish^2,*, Saleh M. Elkaffas³

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4417-4434, 2023, DOI:10.32604/cmc.2023.033175

Abstract Electronic patient data gives many advantages, but also new difficulties. Deadlocks may delay procedures like acquiring patient information. Distributed deadlock resolution solutions introduce uncertainty due to inaccurate transaction properties. Soft computing-based solutions have been developed to solve this challenge. In a single framework, ambiguous, vague, incomplete, and inconsistent transaction attribute information has received minimal attention. The work presented in this paper employed type-2 neutrosophic logic, an extension of type-1 neutrosophic logic, to handle uncertainty in real-time deadlock-resolving systems. The proposed method is structured to reflect multiple types of knowledge and relations among transactions’ features that include validation factor degree, slackness… More >