Abdulrahman Alasmari^*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.010952

Abstract In the Kingdom of Saudi Arabia (KSA), thousands of plants are considered to have therapeutic value. The ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant resources. The aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic identification. The matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal… More >

Jaswinder Kaur¹, Manish Vyas², Joginder Singh¹, Ram Prasad^3,*, Jeena Gupta^1,*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.09420

Abstract In recent years, there has been an increase in epidemiological studies to highlight the health benefits of plant secondary metabolites. Flavonoids (polyphenolic plant secondary metabolites) are recently emerging as an important source for the discovery of new drugs increasing their pharmaceuticals, nutraceutical and medicinal applications. Naringenin is a flavanone, enriched in citrus fruits, tomatoes, bergamot, etc. which has been evaluated extensively for managing diabetes. However, in addition to this, naringenin had been ascribed to various important biological activities like antioxidant, antiviral, anticancer, anti-inflammatory, antiestrogenic, etc. This article aims at highlighting the therapeutic value of naringenin in managing disorders other than… More >

Panagiotis G. Asteris^1,*, Maria G. Douvika¹, Chrysoula A. Karamani¹, Athanasia D. Skentou¹, Katerina Chlichlia², Liborio Cavaleri³, Tryfon Daras⁴, Danial J. Armaghani⁵, Theoklis E. Zaoutis⁶

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.013280

Abstract The modeling and risk assessment of a pandemic phenomenon such as COVID-19 is an important and complicated issue in epidemiology, and such an attempt is of great interest for public health decision-making. To this end, in the present study, based on a recent heuristic algorithm proposed by the authors, the time evolution of COVID-19 is investigated for six different countries/states, namely New York, California, USA, Iran, Sweden and UK. The number of COVID-19-related deaths is used to develop the proposed heuristic model as it is believed that the predicted number of daily deaths in each country/state includes information about the… More >

Chaosheng Tang¹, Deepak Ranjan Nayak², Shuihua Wang^1,3,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.011069

Abstract Hearing loss (HL) is a kind of common illness, which can significantly reduce the quality of life. For example, HL often results in mishearing, misunderstanding, and communication problems. Therefore, it is necessary to provide early diagnosis and timely treatment for HL. This study investigated the advantages and disadvantages of three classical machine learning methods: multilayer perceptron (MLP), support vector machine (SVM), and least-square support vector machine (LS-SVM) approach and made a further optimization of the LS-SVM model via wavelet entropy. The investigation illustrated that themultilayer perceptron is a shallowneural network,while the least square support vector machine uses hinge loss function… More >

Fei Yang^1,2,#, Xiaoqing Zhang^1,*,#, Yong Zhu³

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010798

Abstract Heart arrhythmia is a group of irregular heartbeat conditions and is usually detected by electrocardiograms (ECG) signals. Over the past years, deep learning methods have been developed to classify different types of heart arrhythmias through ECG based on computer-aided diagnosis systems (CADs), but these deep learning methods usually cannot trade-off between classi More >

Shusheng Xiong¹, Defeng Xuan², Yonggen Zhang², Zhankuan Wu¹, Wei Li^1,*, Zhaohan Hu¹, Jing Xu¹

Energy Engineering, Vol., , DOI:10.32604/EE.2020.011975

Abstract This research studied catalytic reforming mechanism of low concentration alcohol, analyzed the producing conditions and influencing factors of a mixture of combustible gas, took an analysis towards the composition of the mixture produced by reforming, and studied the respective effects of temperature, traffic, alcohol concentration and catalyst on the components of mixed gas. It is found that, under different working conditions of the engine, the external condition of the reforming reaction changes, and the composition of the reforming gas will differ as well. As a result, the optimum air-fuel ratio of the engine must at the same time adapt to… More >

Emine Aslan, Dogan Arslan^*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.010835

Abstract The present study was conducted to determine the total hypericin contents of Hypericum triquetrifolium Turra. and Hypericum scabrum L. species which are naturally distributed in the flora of Siirt province, Turkey. Hypericin contents of Hypericum species grown in different geographical aspects (North, South, East, and West), and it was measured at different harvest times (full blooming and post blooming period). In the current study, it has been determined that total hypericin content varies considerably according to aspects, plant developmental stages (ontogenetic variance), and species. According to species x aspect interaction, the highest total hypericin content was recorded from the west… More >

Cheng Cheng^1,2,*, Weiwei Sun², Bo Hu³, Guixiang Tao², Chao Peng², Yanjuan Tian⁴, Shujuan Wu^4,5

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2020.012054

Abstract The use of lignin, which is a by-product of the pulp and paper industry, in the development of asphalt binders would contribute to waste reduction, providing environmental, economic, and social benefits. In this study, samples of lignin-modified asphalt binder samples with different content of lignin (3%, 6%, 9%, 12%, and 15%) and unmodified asphalt (control) were tested using Fourier transform infrared spectroscopy (FTIR), dynamic shear rheometer (DSR), and thermogravimetry. The mechanism and effectiveness of lignin in improving the thermal stability of asphalt at high temperatures were analyzed. The FTIR analysis shows that no new characteristic absorption peak is seen in… More >

Shufang Song^*, Lu Wang, Yuhua Yan

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.09588

Abstract The robust design optimization (RDO) is an effective method to improve product performance with uncertainty factors. The robust optimal solution should be not only satisfied the probabilistic constraints but also less sensitive to the variation of design variables. There are some important issues in RDO, such as how to judge robustness, deal with multi-objective problem and black-box situation. In this paper, two criteria are proposed to judge the deterministic optimal solution whether satisfies robustness requirment. The robustness measure based on maximum entropy is proposed. Weighted sum method is improved to deal with the objective function, and the basic framework of… More >

Sanaa Al-Marzouki¹, Farrukh Jamal², Christophe Chesneau^3,*, Mohammed Elgarhy⁴

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.011521

Abstract Recent studies have pointed out the potential of the odd Fréchet family (or class) of continuous distributions in fitting data of all kinds. In this article, we propose an extension of this family through the so-called “Topp-Leone strategy”, aiming to improve its overall flexibility by adding a shape parameter. The main objective is to offer original distributions with modifiable properties, from which adaptive and pliant statistical models can be derived. For the new family, these aspects are illustrated by the means of comprehensive mathematical and numerical results. In particular, we emphasize a special distribution with three parameters based on the… More >