LEI ZHONG¹, LEI GUO¹, ZHISHUAI YE², SHANFENG ZHANG³, RONGCHONG HUANG^2,*

BIOCELL, Vol.44, No.2, pp. 225-236, 2020, DOI:10.32604/biocell.2020.08714 - 27 May 2020

Abstract Studies have found that a large number of inflammatory cells, P-selectin, and mature dendritic cells (DCs) are expressed in the damaged and shoulder parts of atherosclerotic plaque, which demonstrates that P-selectin and mature DCs participate in the immune inflammatory response leading to the development of atherosclerosis. However, it is unclear how the above factors interact in this setting. In this study, we investigated the role of P-selectin and its receptor, P-selectin glycoprotein ligand (PSGL)-1 in atherosclerosis, with the finding that DC surface marker expression was consistently high in the P-selectin group while consistently low in More >

Xiangao Jiang¹, Megan Coffee^{2, 3, *}, Anasse Bari^{4, *}, Junzhang Wang⁴, Xinyue Jiang⁵, Jianping Huang¹, Jichan Shi¹, Jianyi Dai¹, Jing Cai¹, Tianxiao Zhang⁶, Zhengxing Wu¹, Guiqing He¹, Yitong Huang⁷

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 537-551, 2020, DOI:10.32604/cmc.2020.010691 - 30 March 2020

Abstract The virus SARS-CoV2, which causes coronavirus disease (COVID-19) has become a pandemic and has spread to every inhabited continent. Given the increasing caseload, there is an urgent need to augment clinical skills in order to identify from among the many mild cases the few that will progress to critical illness. We present a first step towards building an artificial intelligence (AI) framework, with predictive analytics (PA) capabilities applied to real patient data, to provide rapid clinical decision-making support. COVID-19 has presented a pressing need as a) clinicians are still developing clinical acumen to this novel… More >

Kamaledin Abodayeh¹, Ali Raza², Muhammad Shoaib Arif^{2, *}, Muhammad Rafiq³, Mairaj Bibi⁴, Rabia Fayyaz⁴

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 65-83, 2020, DOI:10.32604/cmc.2020.08838 - 30 March 2020

Abstract We are associating the solutions of stochastic and deterministic vector borne plant disease model in this manuscript. The dynamics of plant model depends upon threshold number P^∗. If P^∗ <1 then condition helpful to eradicate the disease in plants while P^∗ >1 explains the persistence of disease. Inappropriately, standard numerical systems do not behave well in certain scenarios. We have been proposed a structure preserving stochastic non-standard finite difference system to analyze the behavior of model. This system is dynamical consistent, positive and bounded as defined by Mickens. More >

Yuguo YI, Jiamin ZHENG, Yang ZHOU, Zhiqin LIU, Dan WENG^*

BIOCELL, Vol.44, No.1, pp. 7-11, 2020, DOI:10.32604/biocell.2020.08686 - 01 March 2020

Abstract Nonalcoholic fatty liver disease (NAFLD) represents a huge threat to public health of the whole world. Around 25% of NAFLD patients will progress to nonalcoholic steatohepatitis (NASH), which has been predicted to be the main reason for liver transplantation in the United States in 2020. Extensive effort has been devoted to investigating the underlying molecular mechanisms of NASH pathogenesis and developing new promising treatments. Recent studies have demonstrated that pyroptosis, an inflammatory programmed cell death mediated by inflammasome and gasdermin-D (GSDMD), is involved in the development and progression of NASH. This review aims to summarize More >

Ning Xuan¹, Hua Zhang¹, Xu Liu¹, Qiang Guo¹, Jian Liu², Fangyin Yao^1,*

Phyton-International Journal of Experimental Botany, Vol.89, No.1, pp. 45-55, 2020, DOI:10.32604/phyton.2020.08548 - 01 March 2020

Abstract Rice blast disease is one of the most devastating diseases of rice (Oryza sativa L.) caused by the fungus Magnaporthe oryzae (M. oryzae), and neck blast is the most destructive phase of this illness. The underlying molecular mechanisms of rice blast resistance are not well known. Thus, we collected 150 rice varieties from different ecotypes in China and assessed the rice blast resistances under the natural conditions that favoured disease development in Jining, Shandong Province, China in 2017. Results showed that 92 (61.3%) and 58 (38.7%) rice varieties were resistant and susceptible to M. oryzae, respectively. Among the 150… More >

Kemal Akyol^{1, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 619-632, 2020, DOI:10.32604/cmes.2020.07632 - 01 February 2020

Abstract Parkinson’s disease is a serious disease that causes death. Recently, a new dataset has been introduced on this disease. The aim of this study is to improve the predictive performance of the model designed for Parkinson’s disease diagnosis. By and large, original DNN models were designed by using specific or random number of neurons and layers. This study analyzed the effects of parameters, i.e., neuron number and activation function on the model performance based on growing and pruning approach. In other words, this study addressed the optimum hidden layer and neuron numbers and ideal activation More >

Fan Liu¹, Jianwei Yan², Wantao Wang², Jian Liu^{2, *}, Junying Li³, Alan Yang⁴

CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 801-816, 2020, DOI:10.32604/cmc.2020.07039

Abstract Skin lesion recognition is an important challenge in the medical field. In this paper, we have implemented an intelligent classification system based on convolutional neural network. First of all, this system can classify whether the input image is a dermascopic image with an accuracy of 99%. And then diagnose the dermoscopic image and the non-skin mirror image separately. Due to the limitation of the data, we can only realize the recognition of vitiligo by non-skin mirror. We propose a vitiligo recognition based on the probability average of three structurally identical CNN models. The method is More >

Roba M. Talaat¹, Hiba Sibaii², Iman H. Bassyouni³, Amany El-Wakkad⁴

European Cytokine Network, Vol.30, No.1, pp. 15-22, 2019, DOI:10.1684/ecn.2019.0421

Abstract There are a limited number of studies that report the polarization of the immune system toward the production of T helper 1 (Th1), Th2, or Th17-type cytokines in patients with Behçet’s disease (BD). Here, we aimed to detect the presence of various cytokines in serum samples of Egyptian BD patients and to determine the correlation between their production levels and clinical manifestations. To that aim, serum levels of IFN-γ, IL-10, IL-6, and IL-17 measured by ELISA were determined in BD patients with active or inactive disease to evaluate their clinical relevance. The results of the… More >

Maryam Zarrabi¹, Nasser Gholijani¹, Saeedeh Shenavandeh², Elham Aflaki², Zahra Amirghofran^1,3

European Cytokine Network, Vol.30, No.3, pp. 82-87, 2019, DOI:10.1684/ecn.2019.0430

Abstract Behcet’s disease (BD) is a chronic multisystem autoimmune disorder. Various cytokines take part in the pathogenesis of this disease. Interleukin (IL)-38, a new member of IL-1 cytokine family, has been reported to have antiinflammatory properties; however, its role in BD has not been investigated yet. In this study, we aimed to examine the probable role of IL-38 in the clinical context of BD. A total of 81 patients with BD and 81 age- and sex-matched healthy subjects as controls were included in this study. The serum levels of IL-38 were measured in patients and controls… More >

Sara Youssry¹, Maher A. Kamel²

European Cytokine Network, Vol.30, No.4, pp. 135-143, 2019, DOI:10.1684/ecn.2019.0437

Abstract Background and aims: Chronic hepatic inflammation is an important pathogenic mediator of nonalcoholic fatty liver disease (NAFLD) that contributes to disease severity. It is commonly suggested that autophagy dysfunction may be an underlying cause of nonalcoholic fatty liver disease. However, the exact role of autophagy in lipid metabolism remains controversial. There has been a growing interest in the role of folate supplementation for the treatment and/or prevention of NAFLD. We aimed in this study to investigate the effects of different doses of folate supplementation on several immune markers and autophagy trying to explore the complex… More >