Peixin Li^1,2,#, Hanbing Liu^1,2,#, Yingtong Chen³, Xin Zhang^1,2, Ning Cao^1,2, Ying Sun^1,2, Meimei Jia^1,2, Mengran Wu^1,2, Xuejiao Tong^1,2, Xinmei Jiang^1,2, Xihong Yu^1,2,*,#, Yao Cheng^1,2,*,#

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2227-2244, 2023, DOI:10.32604/phyton.2023.027392 - 25 June 2023

Abstract Intercropping of crops that can secrete bacteriostatic active substances can not only inhibit the occurrence of disease but also have an important effect on plant growth. However, the effects of dandelion intercropping on pepper blight control and pepper growth remain unclear. In this study, the control effect of dandelion on pepper blight was studied by inoculating the pepper leaves with Phytophthora infestans, and it also discusses the correlation of the occurrence of pepper epidemic disease with the pepper canopy environment, soil environment, pepper photosynthesis, and yield index. The results showed that best plant distance for dandelion… More >

Weiting Jiang^1,*, Lei Zhao^1,*, Chongyang Wang², Tingni He¹, Weiguo Pan¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.10, pp. 2597-2611, 2023, DOI:10.32604/fdmp.2023.027504 - 25 June 2023

Abstract When a brazed plate heat exchanger is used as an evaporator, the working mass in the channel may undergo solidification, thereby hindering the refrigeration cycle. In this study the liquid solidification process and its optimization in a brazed plate heat exchanger are investigated numerically for different inlet velocities; moreover, different levels of corrugation are considered. The results indicate that solidification first occurs around the contacts, followed by the area behind the contacts. It is also shown that dead flow zones exist in the sharp areas and such areas are prone to liquid solidification. After optimization, More >

Abdulaziz Attaallah¹, Khalil al-Sulbi², Areej Alasiry³, Mehrez Marzougui³, Neha Yadav⁴, Syed Anas Ansar^5,*, Pawan Kumar Chaurasia⁴, Alka Agrawal⁴

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1853-1875, 2023, DOI:10.32604/iasc.2023.039761 - 21 June 2023

Abstract Connected and autonomous vehicles are seeing their dawn at this moment. They provide numerous benefits to vehicle owners, manufacturers, vehicle service providers, insurance companies, etc. These vehicles generate a large amount of data, which makes privacy and security a major challenge to their success. The complicated machine-led mechanics of connected and autonomous vehicles increase the risks of privacy invasion and cyber security violations for their users by making them more susceptible to data exploitation and vulnerable to cyber-attacks than any of their predecessors. This could have a negative impact on how well-liked CAVs are with… More >

CH. Mohan Sai Kumar^*, R. S. Valarmathi

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1711-1728, 2023, DOI:10.32604/iasc.2023.038113 - 21 June 2023

Abstract Image dehazing is a rapidly progressing research concept to enhance image contrast and resolution in computer vision applications. Owing to severe air dispersion, fog, and haze over the environment, hazy images pose specific challenges during information retrieval. With the advances in the learning theory, most of the learning-based techniques, in particular, deep neural networks are used for single-image dehazing. The existing approaches are extremely computationally complex, and the dehazed images are suffered from color distortion caused by the over-saturation and pseudo-shadow phenomenon. However, the slow convergence rate during training and haze residual is the two… More >

SHU ZHAO^1,*, SHIXIN YE²

BIOCELL, Vol.47, No.6, pp. 1377-1388, 2023, DOI:10.32604/biocell.2023.023874 - 19 May 2023

Abstract Background: This paper aims to establish a light-controlled phosphorylation detection method at the Y785 site of tropomyosin receptor kinase A (TrkA) receptor in mammalian cells by using genetic code expansion technology and detecting the effects of optical activation of this site on the downstream MAPK/ERK pathway. The study is based on the current situation that the regulatory mechanism of TrkA phosphorylation has not been fully elucidated. Methods: Two photosensitive unnatural amino acids, p-azido-L-phenylalanine (AzF) and photo-caged tyrosine (ONB) were introduced into the TrkA-Y785 site by genetic code expansion technology and site-directed mutagenesis. Western blotting and laser More >

Jaspreet Chawla^1,*, Anil Kr Ahlawat²

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2787-2802, 2023, DOI:10.32604/iasc.2023.034775 - 15 March 2023

Abstract Cloud computing has become one of the leading technologies in the world today. The benefits of cloud computing affect end users directly. There are several cloud computing frameworks, and each has ways of monitoring and providing resources. Cloud computing eliminates customer requirements such as expensive system configuration and massive infrastructure while improving dependability and scalability. From the user’s perspective, cloud computing makes it easy to upload multiagents and operate on different web services. In this paper, the authors used a restful web service and an agent system to discuss, deployments, and analysis of load performance… More >

Sunyoung Bu¹, Suwon Lee^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 3083-3096, 2023, DOI:10.32604/cmes.2023.024460 - 09 March 2023

Abstract Reconstructing a three-dimensional (3D) environment is an indispensable technique to make augmented reality and augmented virtuality feasible. A Kinect device is an efficient tool for reconstructing 3D environments, and using multiple Kinect devices enables the enhancement of reconstruction density and expansion of virtual spaces. To employ multiple devices simultaneously, Kinect devices need to be calibrated with respect to each other. There are several schemes available that calibrate 3D images generated from multiple Kinect devices, including the marker detection method. In this study, we introduce a markerless calibration technique for Azure Kinect devices that avoids the More > Graphic Abstract

YIFAN XU^1,#, DONGMEI CHENG^1,#, LEI HU¹, XIN DONG², LIYING LV², CHEN ZHANG², JIAN ZHOU^1,3,4,*

BIOCELL, Vol.47, No.4, pp. 825-836, 2023, DOI:10.32604/biocell.2023.026122 - 08 March 2023

Abstract The Wnt/β-catenin signaling pathway is the main target of tooth regeneration regulation. Treatment of cells with AZD2858 stimulates the Wnt/β-catenin signaling pathway, yet the function of this pathway in tooth regeneration remains unclear. Here, we found that AZD2858 promotes the accumulation of β-catenin in the nuclei of stem cells from the apical papilla (SCAPs) and enhances cell proliferation. Single-cell sequencing was performed on SCAPs treated with AZD2858. Eight clusters were identified, namely SCAPs-CNTNAP2, SCAPs-DTL, SCAPs-MYH11, SCAPs-MKI67, SCAPs-CXCL8, SCAPs-TPM2, SCAPs-IFIT2 and SCAPs-NEK10. The pseudo-time trajectory analysis showed that AZD2858 enhanced the evolution of SCAPs from SCAPs-TMP2 More >

Manar Mohamed Hafez^1,*, Essam Eldin F. Elfakharany¹, Amr A. Abohany², Mostafa Thabet³

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 943-958, 2023, DOI:10.32604/cmc.2023.034078 - 06 February 2023

Abstract Big data is usually unstructured, and many applications require the analysis in real-time. Decision tree (DT) algorithm is widely used to analyze big data. Selecting the optimal depth of DT is time-consuming process as it requires many iterations. In this paper, we have designed a modified version of a (DT). The tree aims to achieve optimal depth by self-tuning running parameters and improving the accuracy. The efficiency of the modified (DT) was verified using two datasets (airport and fire datasets). The airport dataset has 500000 instances and the fire dataset has 600000 instances. A comparison More >

Yi Chen^1,*, Jin Zhou¹, Qianting Gao², Jing Gao¹, Wei Zhang³

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 381-401, 2023, DOI:10.32604/cmes.2023.023234 - 05 January 2023

Abstract Prediction of students’ engagement in a Collaborative Learning setting is essential to improve the quality of learning. Collaborative learning is a strategy of learning through groups or teams. When cooperative learning behavior occurs, each student in the group should participate in teaching activities. Researchers showed that students who are actively involved in a class gain more. Gaze behavior and facial expression are important nonverbal indicators to reveal engagement in collaborative learning environments. Previous studies require the wearing of sensor devices or eye tracker devices, which have cost barriers and technical interference for daily teaching practice. More >