Rohul Amin¹, Şuayip Yüzbası^2,*, Shah Nazir³

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 639-653, 2022, DOI:10.32604/cmes.2022.019154

Abstract In this paper, Haar collocation algorithm is developed for the solution of first-order of HIV infection CD4⁺ T-Cells model. In this technique, the derivative in the nonlinear model is approximated by utilizing Haar functions. The value of the unknown function is obtained by the process of integration. Error estimation is also discussed, which aims to reduce the error of numerical solutions. The numerical results show that the method is simply applicable. The results are compared with Runge-Kutta technique, Bessel collocation technique, LADM-Pade and Galerkin technique available in the literature. The results show that the Haar technique is easy, precise and… More >

Nebojsa Budimirovic¹, E. Prabhu², Milos Antonijevic¹, Miodrag Zivkovic¹, Nebojsa Bacanin^1,*, Ivana Strumberger¹, K. Venkatachalam³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1685-1698, 2022, DOI:10.32604/cmc.2022.023418

Abstract Computerized tomography (CT) scans and X-rays play an important role in the diagnosis of COVID-19 and pneumonia. On the basis of the image analysis results of chest CT and X-rays, the severity of lung infection is monitored using a tool. Many researchers have done in diagnosis of lung infection in an accurate and efficient takes lot of time and inefficient. To overcome these issues, our proposed study implements four cascaded stages. First, for pre-processing, a mean filter is used. Second, texture feature extraction uses principal component analysis (PCA). Third, a modified whale optimization algorithm is used (MWOA) for a feature… More >

Yingbo Li^1,2,#, Ting He^1,2,#, Guimei Guo^1,2, Hongwei Xu^1,2, Yingjie Zong^1,2, Shuwei Zhang^1,2, Ruiju Lu^1,2, Longhua Zhou^1,2,*, Chenghong Liu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.6, pp. 1153-1164, 2022, DOI:10.32604/phyton.2022.019520

Abstract Agrobacterium-mediated transformation has been widely used in plants. However, the mechanism in plant cells’ response to Agrobacterium infection was very complex. The mechanism of the determinants in host cell remains obscure, especially in barley, which is recalcitrant for Agrobacterium-mediated transformation. In the present study, microspore-derived embryogenic calli (MDEC) from barley elite cultivar were employed as unique subjects to characterize the mechanisms during the Agrobacterium infection process. Hua 30 MDEC can be successfully infected by Agrobacterium. RNA-sequencing at different infection points (0, 2, 6, 12, 24 hpi) was performed. The average expressional intensity of the whole genomics increased from 0 to… More >

FEI CHEN^1,*, CHUN LUAN¹, ZICHUN WEI¹, DECHEN CAI¹, ZHIWEN CUI¹, YUYANG LI¹, HAO WU², XIAOXIA ZHANG¹, XIAOLI WU²

BIOCELL, Vol.46, No.6, pp. 1425-1433, 2022, DOI:10.32604/biocell.2022.019868

Abstract The coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has posed a potential threat to infant health. The World Health Organization recommended that the benefits of breastfeeding far outweigh the potential risk of transmission, but there is no denying that the current evidence is insufficient. Moreover, although the COVID-19 mRNA vaccine has played an effective role in protection against infection, individuals have increasing concerns about the safety of breastfeeding after vaccination, and which have caused some breastfeeding women to postpone vaccination or stop breastfeeding early. Thus, in this review, we provide an in-depth… More >

LING GONG¹, HUAJUN YANG¹, YING HUANG², ZHU LI¹, JIN NIE³, MENG YE⁴, PENG XIE⁵, DAISHUN LIU^2,*

BIOCELL, Vol.46, No.4, pp. 1025-1032, 2022, DOI:10.32604/biocell.2022.018248

Abstract Respiratory syncytial virus (RSV) infection is known as a risk factor for chronic obstructive pulmonary disease (COPD). RSV infection induces the upregulation of Toll-like receptor 3 (TLR3). This study aimed to investigate the association of TLR3 with RSV induced acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Serum/sputum samples from AECOPD patients, stable chronic obstructive pulmonary disease (SCOPD) patients, and healthy controls were collected. Nested PCR was used to detect RSV. The lung function parameters were assessed by blood gas and lung function analysis. The expression levels of inflammatory factors in sputum and serum samples were determined by enzyme-linked immunosorbent… More >

Inthira Chaiya¹, Kamonchat Trachoo¹, Kamsing Nonlaopon², Din Prathumwan^2,*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2981-2998, 2022, DOI:10.32604/cmc.2022.021856

Abstract In this paper, we developed a mathematical model for Streptococcus suis, which is an epidemic by considering the moisture that affects the infection. The disease is caused by Streptococcus suis infection found in pigs which can be transmitted to humans. The patients of Streptococcus suis were generally found in adults males and the elderly who contacted pigs or who ate uncooked pork. In human cases, the infection can cause a severe illness and death. This disease has an impact to the financial losses in the swine industry. In the development of models for this disease, we have divided the population… More >

Ashraf Ahmed¹, Yousef AbuHour^2,*, Ammar El-Hassan¹

Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 979-990, 2022, DOI:10.32604/iasc.2022.020726

Abstract The Corona (COVID-19) epidemic has triggered interest in many fields of technology, medicine, science, and politics. Most of the mathematical research in this area focused on analyzing the dynamics of the spread of the virus. In this article, after a review of some current methodologies, a non-linear system of differential equations is developed to model the spread of COVID-19. In order to consider a wide spectrum of scenarios, we propose a susceptible-exposed-infected-quarantined-recovered (SEIQRS)-model which was analyzed to determine threshold conditions for its stability, and the number of infected cases that is an infected person will transmit on a virus to,… More >

Abhishek Kumar Pandey¹, Jehad F. Al-Amri², Ahmad F. Subahi³, Rajeev Kumar^4,*, Raees Ahmad Khan¹

Computer Systems Science and Engineering, Vol.41, No.3, pp. 959-974, 2022, DOI:10.32604/csse.2022.021443

Abstract The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2 virus or COVID-19) disease was declared pandemic by the World Health Organization (WHO) on March 11, 2020. COVID-19 has already affected more than 211 nations. In such a bleak scenario, it becomes imperative to analyze and identify those regions in Saudi Arabia that are at high risk. A preemptive study done in the context of predicting the possible COVID-19 hotspots would facilitate in the implementation of prompt and targeted countermeasures against SARS-CoV-2, thus saving many lives. Working towards this intent, the present study adopts a decision making based methodology of… More >

YANYAN LI¹, SHAHANAVAJ KHAN^2,3,4, ANIS AHMAD CHAUDHARY⁵, HASSAN AHMED RUDAYNI⁵, ABDUL MALIK², ASHWAG SHAMI⁶

BIOCELL, Vol.46, No.1, pp. 87-95, 2022, DOI:10.32604/biocell.2022.016509

Abstract Available reports have confirmed a link between bacterial infection and the progression of different types of cancers, including colon, lungs, and prostate cancer. Here we report the Chlamydia pneumonia proteins targeting in endoplasmic reticulum (ER) using in-silico approaches and their possible role in lung cancer etiology. We predicted 48 proteins that target human ER, which may be associated with protein folding and protein-protein interactions during infection. The results showed C. pneumoniae proteins targeting human ER and their implications in lung cancer growth. These targeted proteins may be involved in competitive interactions between host and bacterial proteins, which may change the… More >

MUBASHIR HUSSAIN¹, ZEESHAN ALI¹, BIN LIU², JIANGUO DAI¹, XIAOLONG LIU¹, JUNCHEN ZHU¹, YONGJUN TANG¹

BIOCELL, Vol.46, No.1, pp. 61-74, 2022, DOI:10.32604/biocell.2022.016392

Abstract Dengue virus infections are increasing worldwide generally and in Asia, Central and South America and Africa, particularly. It poses a serious threat to the children population. The rapid and accurate diagnostic systems are essentially required due to lack of effective vaccine against dengue virus and the progressive spread of the dengue virus infection. The recent progress in developing micro- and nano-fabrication techniques has led to low cost and scale down the biomedical point-of-care devices. Starting from the conventional and modern available methods for the diagnosis of dengue infection, this review examines several emerging rapid and point-of-care diagnostic devices that hold… More >