Gustavo Foronda^1,2, Vanessa Ferreira Amorim de Melo^2,3,*, Claudia Regina Pinheiro de Castro Grau⁴, Ingrid Magatti Piva¹, Glaucia Maria Penha Tavares⁴, Ana Cristina Sayuri Tanaka¹, Nana Miura¹

Congenital Heart Disease, Vol.18, No.6, pp. 649-656, 2023, DOI:10.32604/chd.2023.027987 - 19 January 2024

Abstract Background: Children with congenital heart disease (CHD), even after surgical approaches, and especially those who undergo staged procedures in the first months of life, remain vulnerable to readmissions and complications, requiring very close monitoring and differentiated intervention strategies. Methods: Descriptive and exploratory study, of the experience report type, which presents the process of building the high-risk outpatient clinic for complex congenital heart diseases (AAR) at the Instituto do Coração (InCor). Results: Report of the path taken to structure the AAR, demonstrating the organization, interface with the multidisciplinary team, admission and discharge criteria, training, and patient profile.… More >

LIPING YE^1,2,3,#, HUIYAN SUN^4,#, XINHUA LIANG^2,#, WENXU PAN², LI XIANG^2,3, WENJUN DU², LANLAN GENG², WANFU XU^2,3,*, SITANG GONG^1,2,3,*

BIOCELL, Vol.47, No.12, pp. 2709-2719, 2023, DOI:10.32604/biocell.2023.044295 - 27 December 2023

Abstract Introduction: Helicobacter pylori is a risk factor for the development of peptic ulcers with autophagy dysfunction. Omeprazole was widely known as the first-line regimen for H. pylori-associated gastritis. Objectives: The objective of this work was to assess the role of omeprazole on cell pyroptosis and autophagy. Methods: The clinical samples were collected. Quantitative polymerase chain reaction, western blotting, enzyme linked immunosorbent assay, and immunofluorescence (IF) analysis were conducted to reveal the mechanism of omeprazole on cell pyroptosis and autophagy. Results: The results revealed that omeprazole could decrease cell pyroptosis, which was attributed to the downregulation of cleaved caspase-1 expression,… More >

QILU PAN^1,2,#, YAN JIANG^1,2,#, LINQIAO LI^1,2, XIAOJING DU¹, QIAN HAN¹, FEIXIANG LING¹, ROU LI¹, SHUYUAN CHU^1,2, LIN MAI¹, JIANWEI HUANG¹, LIBING MA^1,2,*

BIOCELL, Vol.47, No.11, pp. 2495-2502, 2023, DOI:10.32604/biocell.2023.042617 - 27 November 2023

Abstract Introduction: Allergen-specific CD4⁺ T cells play a central role in autoimmune disorders, allergies and asthma, with Th2-type immunity being the typical functional response of CD4⁺ T cells. This study aimed to investigate the role of MBD2 in regulating Th2 cell differentiation. Methods: Splenic mononuclear cells were extracted from C57BL/6 mice, and CD4⁺ T cells were isolated using magnetic beads and confirmed through flow cytometry. Lentivirus was employed to construct MBD2-silenced CD4⁺ T cells. In vitro experiments were performed to treat splenogenic mononuclear cells and CD4⁺ T cells with Ovalbumin (OVA), and Th2 cell ratios and IL-4 levels were assessed… More >

Muhammad Attique Khan^1,2, Reham R. Mostafa³, Yu-Dong Zhang², Jamel Baili⁴, Majed Alhaisoni⁵, Usman Tariq⁶, Junaid Ali Khan¹, Ye Jin Kim⁷, Jaehyuk Cha^7,*

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3029-3047, 2023, DOI:10.32604/cmc.2023.038838 - 08 October 2023

Abstract Manual diagnosis of brain tumors using magnetic resonance images (MRI) is a hectic process and time-consuming. Also, it always requires an expert person for the diagnosis. Therefore, many computer-controlled methods for diagnosing and classifying brain tumors have been introduced in the literature. This paper proposes a novel multimodal brain tumor classification framework based on two-way deep learning feature extraction and a hybrid feature optimization algorithm. NasNet-Mobile, a pre-trained deep learning model, has been fine-tuned and two-way trained on original and enhanced MRI images. The haze-convolutional neural network (haze-CNN) approach is developed and employed on the… More >

EUN SOOK KIM¹, SANGHEE KIM², AREE MOON^1,*

Oncology Research, Vol.31, No.6, pp. 867-875, 2023, DOI:10.32604/or.2023.030411 - 15 September 2023

Abstract Invasion and metastasis are important hallmarks of breast cancer and are the leading cause of patient mortality. Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer characterized by a poor prognosis and a lack of effective targeted therapies. The present study investigated the inhibitory effect of a novel FTY720 derivative on the invasive phenotype of TNBC cells. Here, we showed that a novel compound with an isoxazole ring, 4-(3-Decylisoxazol-5-yl)-1-hydroxy-2-(hydroxymethyl)butan-2-aminium chloride (CM2-II-173), significantly inhibited invasiveness of MDA-MB-231 TNBC cells. Expression of matrix metalloproteinase (MMP)-9 and invasiveness of MCF10A normal breast cells induced by sphingosine-1-phosphate… More >

Akkerbez Adilbekova^1,3,*, Shukhrat Marassulov¹, Bakhytzhan Nurkeev¹, Saken Kozhakhmetov², Aikorkem Badambekova³

Congenital Heart Disease, Vol.18, No.4, pp. 447-459, 2023, DOI:10.32604/chd.2023.028742 - 15 September 2023

Abstract Objective: The aim is to study the trends in ventricular septal defect (VSD) mortality in children in Kazakhstan. Methods: The retrospective study was done for the period 2011–2020. Descriptive and analytical methods of epidemiology were applied. The universally acknowledged methodology used in sanitary statistics is used to calculate the extensive, crude, and age-specific mortality rates. Results: Kazakhstan is thought to be seeing an increase in mortality from VSDs in children. As a result, this study for the years 2011 to 2020 was conducted to retrospectively assess data from the central registration of the Bureau of National… More > Graphic Abstract

Motasem S. Alsawadi^1,*, El-Sayed M. El-kenawy², Miguel Rio¹

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2767-2782, 2023, DOI:10.32604/iasc.2023.039440 - 11 September 2023

Abstract The BlazePose, which models human body skeletons as spatiotemporal graphs, has achieved fantastic performance in skeleton-based action identification. Skeleton extraction from photos for mobile devices has been made possible by the BlazePose system. A Spatial-Temporal Graph Convolutional Network (STGCN) can then forecast the actions. The Spatial-Temporal Graph Convolutional Network (STGCN) can be improved by simply replacing the skeleton input data with a different set of joints that provide more information about the activity of interest. On the other hand, existing approaches require the user to manually set the graph’s topology and then fix it across… More >

Wangxin Yu^1,*, XiaoLiang Wang¹, Qingquan Liu¹, Huaning Wang²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09825

Abstract Landslide, debris flow and other large-scale natural disasters have a great threat to human life and property safety. The accuracy of prediction and calculation of large-scale disasters still needs great improvement, so as the study of prevention and interaction. In this paper, the depth-integrated shallow water flow model is adopted, and the numerical method of Kurganov developed in recent years is used to develop a highresolution algorithm which can capture shock waves and satisfy the hydrodynamic conditions. In order to make it adapt to the granular flow, appropriate adjustment is made distinct from the original… More >

Chunhua Liu¹, Dongfang Zou¹, Qinqin Huang¹, Shang Li², Xia Zheng¹, Xingong Li^1,*

Journal of Renewable Materials, Vol.11, No.10, pp. 3613-3624, 2023, DOI:10.32604/jrm.2023.028111 - 10 August 2023

Abstract The residual resources of ramie fiber-based textile products were used as raw materials. Ramie fiber felt (RF) was modified by NaClO₂ aqueous solution and then impregnated with water-based epoxy resin (WER). RF/WER transparent composite materials were prepared by lamination hot pressing process. The composite materials’color difference, transmittance, haze, density, water absorption, and mechanical properties were determined to assess the effects of NaClO₂ treatment and the number of ramie fiber layers on the properties of the prepared composites. The results showed significantly improved optical and mechanical properties of the RF/WER transparent composites after NaClO₂ treatment. With the increase More > Graphic Abstract

Jiaqi Wang¹, Pengfei Sun¹, Leilei Chen², Jianfeng Yang³, Zhenghe Liu¹, Haojie Lian^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1381-1418, 2023, DOI:10.32604/cmes.2023.023693 - 26 June 2023

Abstract Geological hazard is an adverse geological condition that can cause loss of life and property. Accurate prediction and analysis of geological hazards is an important and challenging task. In the past decade, there has been a great expansion of geohazard detection data and advancement in data-driven simulation techniques. In particular, great efforts have been made in applying deep learning to predict geohazards. To understand the recent progress in this field, this paper provides an overview of the commonly used data sources and deep neural networks in the prediction of a variety of geological hazards. More >