Wuzhong Yin^#, Hongxia Yang^#, Yantong Wang, Ping Feng, Yao Deng, Yang Liu, Danyang Chen, Yijie Ban, Weichi Liu, Guanghua He^*, Nan Wang^*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 727-744, 2022, DOI:10.32604/phyton.2022.017811 - 09 December 2021

Abstract The mitogen-activated protein kinase (MAPK) cascade is important in stress signal transduction and plant development. In the present study, we identified a rice (Oryza sativa L.) mutant with reduced fertility, Oryza sativa mitogen-activated protein kinase 6 (osmapk6), which harbored a mutated MAPK gene. Scanning and transmission electron microscopy, quantitative RT-PCR analysis, TUNEL assays, RNA in situ hybridization, longitudinal and transverse histological sectioning, and map-based cloning were performed to characterize the osmapk6 mutant. The gene OsMAPK6 was expressed throughout the plant but predominantly in the microspore mother cells, tapetal cells, and microspores in the anther sac. Compared with the More >

Xiwen Shao¹, Dongsheng Gai¹, Dapeng Gao¹, Yanqiu Geng^1,*, Liying Guo^1,2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 745-759, 2022, DOI:10.32604/phyton.2022.018933 - 09 December 2021

Abstract The aim of this study was to investigate carbohydrate metabolism in rice seedlings subjected to salt-alkaline stress. Two relatively salt-alkaline tolerant (Changbai 9) and sensitive (Jinongda 138) rice cultivars, grown hydroponically, were subjected to salt-alkaline stress via 50 mM of salt-alkaline solution. The carbohydrate content and the activities of metabolism-related enzymes in the leaves and roots were investigated. The results showed that the contents of sucrose, fructose, and glucose in the leaves and roots increased under salt-alkaline stress. Starch content increased in the leaves but decreased in the roots under salt-alkaline stress. The activities of More >

Mohamed Fathy Ahmed¹, Eman Zakaria Ahmed², Salman Aloufi³, Mohammed Alqurashi³, Amal Alyamani³, Eman Fayad³, Eman Tawfik Hussien^2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 889-902, 2022, DOI:10.32604/phyton.2022.018600 - 09 December 2021

Abstract Populus alba is a large woody deciduous plant. The plant has been introduced to shooting, then multiplication of rooting on Murashige and Skoog (MS) medium. This work was designed to estimate the effect of two factors (low levels of 1-Naphthaleneacetic acid NAA and sucrose) on P. alba response resulting in 6 treatments compared to the control, with twelve measured responses. There was a significant difference in some measurements in morphology, like plantlets fresh-weight, shoot-, root-length, and leaf number. In the physiological measurements, there were significant differences in all the measured parameters. The low concentrations of sucrose and… More >

Fen Zhang¹, Weili Tian¹, Lu Cen¹, Litang Lv², Xiaofang Zeng¹, Yulu Chen¹, Yichen Zhao^2,*, Yan Li^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 791-809, 2022, DOI:10.32604/phyton.2022.018104 - 09 December 2021

Abstract Duyun Maojian tea is a famous tea in China. In this study, the specific-locus amplified fragment (SLAF) sequencing method was used to analyze the population structure and conduct a genome-wide association study (GWAS) of 2 leaf traits of 123 tea plants in Qiannan, China. A total of 462,019 SLAF tags and 11,362,041 single-nucleotide polymorphism (SNP) loci were obtained. The results of phylogenetic tree analysis, cluster analysis, and principal component analysis showed that 123 tea germplasms were clustered into three groups, and the heterozygosity rates for Groups I, II, and II were 0.206, 0.224, and 0.34,… More >

Fayadh Alenezi^*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3425-3443, 2022, DOI:10.32604/cmc.2022.023339 - 07 December 2021

Abstract Image dehazing is still an open research topic that has been undergoing a lot of development, especially with the renewed interest in machine learning-based methods. A major challenge of the existing dehazing methods is the estimation of transmittance, which is the key element of haze-affected imaging models. Conventional methods are based on a set of assumptions that reduce the solution search space. However, the multiplication of these assumptions tends to restrict the solutions to particular cases that cannot account for the reality of the observed image. In this paper we reduce the number of simplified… More >

Wenzheng Yu¹, Jintao Cui², Yang Gao¹, Mingxuan Zhu¹, Li Shao³, Yanbo Shen^4,5,*, Xiaozhao Zhang⁶, Chen Guo⁷, Hanxiaoya Zhang⁸

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3635-3646, 2022, DOI:10.32604/cmc.2022.023195 - 07 December 2021

Abstract Land desertification is a widely concerned ecological environment problem. Studying the evolution trend of desertification types is of great significance to prevent and control land desertification. In this study, we applied the decision tree classification method, to study the land area and temporal and spatial change law of different types of desertification in the North Bank of Qinghai Lake area from 1987 to 2014, based on the current land use situation and TM remote sensing image data of Haiyan County, Qinghai Province, The results show that the area of mild desertification land and moderate desertification… More >

Pulkit Jain¹, Paras Chawla¹, Mehedi Masud^2,*, Shubham Mahajan³, Amit Kant Pandit³

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3337-3353, 2022, DOI:10.32604/cmc.2022.023053 - 07 December 2021

Abstract Machine Learning has evolved with a variety of algorithms to enable state-of-the-art computer vision applications. In particular the need for automating the process of real-time food item identification, there is a huge surge of research so as to make smarter refrigerators. According to a survey by the Food and Agriculture Organization of the United Nations (FAO), it has been found that 1.3 billion tons of food is wasted by consumers around the world due to either food spoilage or expiry and a large amount of food is wasted from homes and restaurants itself. Smart refrigerators… More >

Shahid Yousaf^1,*, Hafiz Mahfooz Ul Haque², Abbas Khalid¹, Muhammad Adnan Hashmi³, Eraj Khan¹

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3355-3373, 2022, DOI:10.32604/cmc.2022.023019 - 07 December 2021

Abstract Recent years have witnessed the expeditious evolution of intelligent smart devices and autonomous software technologies with the expanded domains of computing from workplaces to smart computing in everyday routine life activities. This trend has been rapidly advancing towards the new generation of systems where smart devices play vital roles in acting intelligently on behalf of the users. Context-awareness has emerged from the pervasive computing paradigm. Context-aware systems have the ability to acquire contextual information from the surrounding environment autonomously, perform reasoning on it, and then adapt their behaviors accordingly. With the proliferation of context-aware systems… More >

Muhammad Asif¹, Ishfaq Ali¹, Shahbaz Ahmad¹, Azeem Irshad², Akber Abid Gardezi³, Fawaz Alassery⁴, Habib Hamam⁵, Muhammad Shafiq^6,*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3985-3999, 2022, DOI:10.32604/cmc.2022.023010 - 07 December 2021

Abstract Industrial automation or assembly automation is a strictly monitored environment, in which changes occur at a good speed. There are many types of entities in the focusing environment, and the data generated by these devices is huge. In addition, because the robustness is achieved by sensing redundant data, the data becomes larger. The data generating device, whether it is a sensing device or a physical device, streams the data to a higher-level deception device for calculation, so that it can be driven and configured according to the updated conditions. With the emergence of the Industry… More >

CSS Anupama¹, T. J. Benedict Jose², Heba F. Eid³, Nojood O Aljehane⁴, Fahd N. Al-Wesabi^5,*, Marwa Obayya⁶, Anwer Mustafa Hilal⁷

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3969-3983, 2022, DOI:10.32604/cmc.2022.022701 - 07 December 2021

Abstract Biomedical images are used for capturing the images for diagnosis process and to examine the present condition of organs or tissues. Biomedical image processing concepts are identical to biomedical signal processing, which includes the investigation, improvement, and exhibition of images gathered using x-ray, ultrasound, MRI, etc. At the same time, cervical cancer becomes a major reason for increased women's mortality rate. But cervical cancer is an identified at an earlier stage using regular pap smear images. In this aspect, this paper devises a new biomedical pap smear image classification using cascaded deep forest (BPSIC-CDF) model… More >