Si ran Wang^#, Jia Yan^#, Bu er Ha, Yu’e Bai^*

Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 595-604, 2021, DOI:10.32604/phyton.2021.013693 - 07 February 2021

Abstract Hydrangea bretschneideri Dipp is a highly popular ornamental plant for garden decoration. Genetic engineering technology has been successfully used in many plant species, but it is limited in Hydrangea. Here we established an efficient regeneration system by using stem segments as explants for the first time. In our study, the plant growth regulators (PGRs) were evaluated at the different regeneration processes, including axillary shoots regeneration and root induction. We found that the optimal concentration for axillary buds’ induction was 2.0 mgL⁻¹ 6-BA and 0.5 mgL⁻¹ 1 IAA, its highest induction rate was 70%. Moreover, the highest axillary shoots More >

Hesham F. Alharby¹, Mirza Hasanuzzaman^2,*, Hassan S. Al-Zahrani¹, Khalid Rehman Hakeem¹

Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 373-388, 2021, DOI:10.32604/phyton.2021.013657 - 07 February 2021

Abstract The mechanism of selenium (Se)-induced salt tolerance was studied in moderately sensitive soybean (Glycine max L.) plants. To execute this view, soybean plants were imposed with salt stress (EC 6 dS m⁻¹ ) applying NaCl. In other treatments, Se (0, 25, 50 and 75 µM Na₂SeO₄) was sprayed as co-application with that level of salt stress. Plant height, stem diameter, leaf area, SPAD value decreased noticeably under salt stress. Altered proline (Pro) level, together with decreased leaf relative water content (RWC) was observed in salt-affected plants. Salt stress resulted in brutal oxidative damage and increased the content… More >

Muhammad Saqib, Muhammad Akbar Anjum^*

Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 331-352, 2021, DOI:10.32604/phyton.2021.011685 - 07 February 2021

Abstract Crop simulation models constitute the major proportion in decision support systems. A large number of crop models have been developed for potato and few for tomato and peppers. In the literature, thirty three crop models have been reported to simulate potato, nine for tomato and six for peppers. Some of these models dealt with the climate change scenario and others with the crop management practices such as sowing time, irrigation, nitrogen, and insect-pests management. The most evaluated and applied models for potato include; SUBSTOR, and LINTUL-Potato, whereas CROPGRO-tomato model is the most tested and applied… More >

V. Vidya Lakshmi^1,*, J. S. Leena Jasmine²

Computer Systems Science and Engineering, Vol.37, No.2, pp. 233-245, 2021, DOI:10.32604/csse.2021.015700 - 01 March 2021

Abstract Melanoma or skin cancer is the most dangerous and deadliest disease. As the incidence and mortality rate of skin cancer increases worldwide, an automated skin cancer detection/classification system is required for early detection and prevention of skin cancer. In this study, a Hybrid Artificial Intelligence Model (HAIM) is designed for skin cancer classification. It uses diverse multi-directional representation systems for feature extraction and an efficient Exponentially Weighted and Heaped Multi-Layer Perceptron (EWHMLP) for the classification. Though the wavelet transform is a powerful tool for signal and image processing, it is unable to detect the intermediate More >

Hegazy Rezk^1,*, Mohamed A. Mohamed², Ahmed A. Zaki Diab², N. Kanagaraj¹

Computer Systems Science and Engineering, Vol.37, No.2, pp. 219-231, 2021, DOI:10.32604/csse.2021.015543 - 01 March 2021

Abstract A reliable approach based on a multi-verse optimization algorithm (MVO) for designing load frequency control incorporated in multi-interconnected power system comprising wind power and photovoltaic (PV) plants is presented in this paper. It has been applied for optimizing the control parameters of the load frequency controller (LFC) of the multi-source power system (MSPS). The MSPS includes thermal, gas, and hydro power plants for energy generation. Moreover, the MSPS is integrated with renewable energy sources (RES). The MVO algorithm is applied to acquire the ideal parameters of the controller for controlling a single area and a More >

Mohammed Hayder Kadhim, Farhad Mardukhi^*

Computer Systems Science and Engineering, Vol.37, No.2, pp. 149-158, 2021, DOI:10.32604/csse.2021.014608 - 01 March 2021

Abstract There are a variety of Internet of Things (IoT) applications that cover different aspects of daily life. Each of these applications has different criteria and sub-criteria, making it difficult for the user to choose. This requires an automated approach to select IoT applications by considering criteria. This paper presents a novel recommendation system for presenting applications on the IoT. First, using the analytic hierarchy process (AHP), a multi-layer architecture of the criteria and sub-criteria in IoT applications is presented. This architecture is used to evaluate and rank IoT applications. As a result, finding the weight More >

Shahrul Nizam Ismail¹, Suraya Hamid^1,*, Muneer Ahmad¹, A. Alaboudi², Nz Jhanjhi³

Computer Systems Science and Engineering, Vol.37, No.1, pp. 73-87, 2021, DOI:10.32604/csse.2021.015261 - 05 February 2021

Abstract Learning analytics is a rapidly evolving research discipline that uses the insights generated from data analysis to support learners as well as optimize both the learning process and environment. This paper studied students’ engagement level of the Learning Management System (LMS) via a learning analytics tool, student’s approach in managing their studies and possible learning analytic methods to analyze student data. Moreover, extensive systematic literature review (SLR) was employed for the selection, sorting and exclusion of articles from diverse renowned sources. The findings show that most of the engagement in LMS are driven by educators. More >

A. N. M. Alahmadi¹, Hegazy Rezk^2,3,*

Computer Systems Science and Engineering, Vol.37, No.1, pp. 63-71, 2021, DOI:10.32604/csse.2021.015029 - 05 February 2021

Abstract A robust single-sensor global maximum power point tracking (MPPT) strategy based on modern optimization for photovoltaic systems considering shading conditions is proposed in this work. The proposed strategy is designed for battery charging applications and direct current (DC) microgrids. Under normal operation, the curve of photovoltaic (PV) output power versus PV voltage contains only a single peak point. This point can be simply captured using any traditional tracking method like perturb and observe. However, this situation is completely different during the shadowing effect where several peaks appear on the power voltage curve. Most of these… More >

Sinil Mubarak¹, Mohamed Hadi Habaebi^1,*, Md Rafiqul Islam¹, Farah Diyana Abdul Rahman, Mohammad Tahir²

Computer Systems Science and Engineering, Vol.37, No.1, pp. 33-46, 2021, DOI:10.32604/csse.2021.014384 - 05 February 2021

Abstract An Intrusion Detection System (IDS) provides a front-line defense mechanism for the Industrial Control System (ICS) dedicated to keeping the process operations running continuously for 24 hours in a day and 7 days in a week. A well-known ICS is the Supervisory Control and Data Acquisition (SCADA) system. It supervises the physical process from sensor data and performs remote monitoring control and diagnostic functions in critical infrastructures. The ICS cyber threats are growing at an alarming rate on industrial automation applications. Detection techniques with machine learning algorithms on public datasets, suitable for intrusion detection of More >

DONGYUE ZHANG, LINA WANG, HAO WANG, XIAOQIAN LV, QIAN REN, GUOGUANG ZHENG^*

BIOCELL, Vol.45, No.1, pp. 149-156, 2021, DOI:10.32604/biocell.2021.010334 - 26 January 2021

Abstract Legumain is a C13 family cysteine protease. It plays diverse roles under both physiological and pathological conditions. The high-level expression of legumain is detected in solid tumors. Legumain promotes the proliferation and migration of tumor cells. However, the effect of legumain in blood diseases has not been established. In this report, we studied the effect of legumain on leukemia cells by overexpressing it in THP1 cells. The results demonstrated that legumain promoted cell proliferation, whereas it had little effect on cell apoptosis. Furthermore, legumain promoted the migration of THP1 cells. It was worth noting that More >