Xuelian Du^1,#, Hao Shi^2,#, Haiyan Liu¹, Linghua Zhou¹, Anqun Xie¹, Jufang Guo^1,*

Oncologie, Vol.24, No.4, pp. 769-787, 2022, DOI:10.32604/oncologie.2022.026248 - 31 December 2022

Abstract Background: Gestational diabetes mellitus (GDM) affects the health of numerous women around the world. A recent study has shown that GDM is associated with an increased incidence of cancer. In this study, we aimed to explore the possible shared mechanisms and potential common therapeutic targets between GDM and cancer. Methods: The limma package was used to identify differentially expressed genes (DEGs) in GDM. The Cytoscape plugin cytoHubba was used to screen hub genes. The CIBERSORT algorithm was used to explore the correlation between hub genes and immunity. Cox regression analysis was used to assess the relationship… More >

FEIFEI TIAN¹, HUAN HU¹, DI WANG¹, HUAN DING¹, QINGJIA CHI², HUAPING LIANG³, WENLI ZENG^4,*

BIOCELL, Vol.46, No.10, pp. 2291-2301, 2022, DOI:10.32604/biocell.2022.020198 - 13 June 2022

Abstract This study used transcriptome and epigenetic data to predict the prognosis of immune-related genes (IRGs) Apelin (APLN) in patients with hepatocellular carcinoma (HCC). The TCGA database has gene expression and clinical data for HCC. And DNA methylation 450 k data for HCC was download from the University of California Santa Cruz (UCSC) Xena browser. Performing clinical and prognostic analysis of APLN expression, results show that APLN is highly expressed in tumor samples. And it has an increasing trend with the development of clinical stage and T stage. To explore the prognostic role of APLN, the… More >

Hirdayesh Anuragi¹, Rajesh Kumar Singhal², Yashfa Tanveer³, Humaira Yasmin³, Ambati Srijan⁴, Alka Bharati¹, Lal Chand⁵, Sukumar Taria¹, Kunasekaran Rajarajan¹, Asha Ram¹, Arun Kumar Handa¹, Ayyanadar Arunachalam¹, Khalid Rehman Hakeem^6,7,8,*, Deniz Özbilici⁹, Ayman EL Sabagh^10,11,*

Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 1831-1858, 2022, DOI:10.32604/phyton.2022.020540 - 13 May 2022

Abstract A severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) led novel coronavirus disease (COVID-19) outbreak spread through China has become the biggest global public health challenge today. The virus upon several mutations has led to the resurgence of more infectious and lethal variants infecting over 298 million people with more than 5.46 million deaths worldwide by the end of December, 2021. Though vaccines are available, various preventive measures particularly a high body immunity is still extremely important which determines the likelihood of disease severity and subsequent recovery in the current and future pandemics. This review acknowledges the… More >

Hajer Faris¹, Musaria Karim Mahmood², Osama Ahmad Alomari^3,*, Ashraf Elnagar⁴

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5643-5661, 2022, DOI:10.32604/cmc.2022.026228 - 21 April 2022

Abstract Wireless sensor networks (WSNs) are characterized by their ability to monitor physical or chemical phenomena in a static or dynamic location by collecting data, and transmit it in a collaborative manner to one or more processing centers wirelessly using a routing protocol. Energy dissipation is one of the most challenging issues due to the limited power supply at the sensor node. All routing protocols are large consumers of energy, as they represent the main source of energy cost through data exchange operation. Cluster-based hierarchical routing algorithms are known for their good performance in energy conservation… More >

Yousef Ibrahim Daradkeh¹, Volodymyr Gorokhovatskyi², Iryna Tvoroshenko^2,*, Mujahed Al-Dhaifallah³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1785-1797, 2022, DOI:10.32604/cmc.2022.025499 - 24 February 2022

Abstract The results of the development of the new fast-speed method of classification images using a structural approach are presented. The method is based on the system of hierarchical features, based on the bitwise data distribution for the set of descriptors of image description. The article also proposes the use of the spatial data processing apparatus, which simplifies and accelerates the classification process. Experiments have shown that the time of calculation of the relevance for two descriptions according to their distributions is about 1000 times less than for the traditional voting procedure, for which the sets More >

Xiaolei Li^*

Energy Engineering, Vol.119, No.2, pp. 665-680, 2022, DOI:10.32604/ee.2022.019292 - 24 January 2022

Abstract Aiming at the difficulty of rolling bearing fault diagnosis of wind turbine under noise environment, a new bearing fault identification method based on the Improved Anti-noise Residual Shrinkage Network (IADRSN) is proposed. Firstly, the vibration signals of wind turbine rolling bearings were preprocessed to obtain data samples divided into training and test sets. Then, a bearing fault diagnosis model based on the improved anti-noise residual shrinkage network was established. To improve the ability of fault feature extraction of the model, the convolution layer in the deep residual shrinkage network was replaced with a Dense-Net layer. More >

SERGIU PASCA^1,*, ANCUTA JURJ²

BIOCELL, Vol.46, No.3, pp. 579-581, 2022, DOI:10.32604/biocell.2022.017926 - 18 November 2021

Abstract Ten eleven translocation (TET) enzymes are composed of three representatives: TET1/2/3 which are involved in the hydroxymethylation of methylated cytosines. Because of the wide array of processes that are governed by these epigenetic marks, there have been a wide range of clinical effects associated with TET alterations. Even though many research groups have focused on analyzing the effect of TET alterations within certain cells, few have taken into consideration the effect of TET in the context of intercellular communication. One important entity through which intercellular communication occurs is represented by exosomes. Thus, in the current More >

SHADY G. EL-SAWAH^1,*, FAYEZ ALTHOBAITI², HANAN M. RASHWAN¹, ADIL ALDHAHRANI³, MARWA A. ABDEL-DAYEM⁴, EMAN FAYAD², REHAB M. AMEN⁵, EL SHAIMAA SHABANA⁶, EHAB I. EL-HALLOUS⁷

BIOCELL, Vol.46, No.3, pp. 745-757, 2022, DOI:10.32604/biocell.2022.017853 - 18 November 2021

Abstract Since Type 1 diabetes (T1DM) occurs when β-cells mass is reduced to less than 20% of the normal level due to autoimmune destruction of cells resulting in the inability to secrete insulin, preservation or replenishment of the functional β-cells mass has become a major therapeutic focus for this diabetic type treatment. Thus, this 4-week work plan was designed to determine which mesenchymal stem cells (MSCs) type is more appropriate to alleviate pancreatic hazards resulting from diabetes induction; via tracking a comparative study between MSCs derived from adipose tissue (AD-MSCs) and from bone marrow (BM-MSCs) in… 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 - 17 November 2021

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… More >

ZHIHENG LIU^1,2, ZHEN SUN³, ZHONGYUAN WAN⁴, HAIQIANG WANG^2,*

BIOCELL, Vol.46, No.2, pp. 511-517, 2022, DOI:10.32604/biocell.2021.016194 - 20 October 2021

Abstract We unraveled the expression profiles of coding-noncoding RNAs in intervertebral disc degeneration (IDD). However, it remains elusive regarding miR-155 expression in peripheral blood mononuclear cells (PBMCs) and local extracellular space in IDD. The study aimed for investigating the miR-155 expression of PBMCs, extracellular miRNAs (ex-miRNAs) of human nucleus pulposus (NP) tissues, and morphological changes of cell death in the IDD process. Here, we harvested peripheral blood and NP samples from scoliosis and IDD patients as control and degenerative groups, respectively. Then standard Ficoll density-gradient centrifugation was used to isolate PBMCs. The two subpopulations of PBMCs… More >