K. Umapathi^1,*, S. Shobana¹, Anand Nayyar², Judith Justin³, R. Vanithamani³, Miguel Villagómez Galindo⁴, Mushtaq Ahmad Ansari⁵, Hitesh Panchal^6,*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047961

Abstract Breast cancer detection heavily relies on medical imaging, particularly ultrasound, for early diagnosis and effective treatment. This research addresses the challenges associated with computer-aided diagnosis (CAD) of breast cancer from ultrasound images. The primary challenge is accurately distinguishing between malignant and benign tumors, complicated by factors such as speckle noise, variable image quality, and the need for precise segmentation and classification. The main objective of the research paper is to develop an advanced methodology for breast ultrasound image classification, focusing on speckle noise reduction, precise segmentation, feature extraction, and machine learning-based classification. A unique approach is introduced that combines Enhanced… More >

Han Zhou^1,2, Hongtao Xu^1,2, Xinyue Chang^1,2, Wei Zhang^1,2, Heng Dong^1,2,*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047754

Abstract Many deep learning-based registration methods rely on a single-stream encoder-decoder network for computing deformation fields between 3D volumes. However, these methods often lack constraint information and overlook semantic consistency, limiting their performance. To address these issues, we present a novel approach for medical image registration called the Dual-VoxelMorph, featuring a dual-channel cross-constraint network. This innovative network utilizes both intensity and segmentation images, which share identical semantic information and feature representations. Two encoder-decoder structures calculate deformation fields for intensity and segmentation images, as generated by the dual-channel cross-constraint network. This design facilitates bidirectional communication between grayscale and segmentation information, enabling the… More >

YU-YAN LAN^1,#, TSUN-CHIH CHENG^2,#, YI-PING LEE³, CHIA-YIH WANG^3,*, BU-MIIN HUANG^3,4,*

BIOCELL, Vol., , DOI:10.32604/biocell.2024.050701

Abstract Background: Paclitaxel is a compound derived from Pacific yew bark that induces various cancer cell apoptosis. However, whether it also has anticancer activities in KOSC3 cells, an oral cancer cell line, is unclear. Methods: 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, flow cytometry, and western blotting assays were carried out to assess cell viability, subG1 phase of the cell cycle, and apoptosis-related protein expression, respectively. Results: Our findings indicate that paclitaxel could inhibit cell viability and increase the expression of apoptotic markers, including plasma membrane blebbing and the cleavage of poly ADP-ribose polymerase in KOSC3 cells. Also, the treatment with paclitaxel remarkably elevated the percentage… More > Graphic Abstract

YUANYUAN LIAO^1,2,3, XINSI LI^2,3, QIAN LI^2,3, YIZHONG WANG⁴, XIUJUN TAN^1,2,3, TING GONG^2,3,5,*

BIOCELL, Vol., , DOI:10.32604/biocell.2024.050324

Abstract As we are facing an aging society, anti-aging strategies have been pursued to reduce the negative impacts of aging and increase the health span of human beings. Gut microbiota has become a key factor in the anti-aging process. Modulation of gut microbiota by fecal microbiota transplantation (FMT) to prevent frailty and unhealthy aging has been a hot topic of research. This narrative review summarizes the benefits of FMT for health span and lifespan, brains, eyes, productive systems, bones, and others. The mechanisms of FMT in improving healthy aging are discussed. The increased beneficial bacteria and decreased pathological bacteria decreased gut… More >

YI HU^1,#, ZHONGYANG REN^2,#, ZHENGZHONG ZHAO¹, YONGJIA HUANG³, WANTING HUANG³, JIE LIU^3,*, LING DING^3,*

BIOCELL, Vol., , DOI:10.32604/biocell.2024.049140

Abstract Background: Acute pancreatitis (AP), known for its rapid onset and significant incidence and mortality rates, presents a clinical challenge due to the limited availability of effective treatments and preventive measures. Anemarsaponin B (ASB) has emerged as a potential therapeutic agent, demonstrating capabilities in reducing immune inflammation, positioning it as a promising candidate for AP treatment. Methods: We investigated the effects of ASB on AP in mice, induced by caerulein and lipopolysaccharide (LPS). Peripheral blood samples were collected 24 h post-induction with caerulein to assess of key biomarkers including lipase, amylase, TNF-α, IL-1β, IL-6, SOD, and GSH-Px. A range of techniques… More >

JING HUI^1,2, NANA SUN³, YONG LIU⁴, CHUNBO YU^1,2, YONG KE⁴, YONG CAO⁴, ANXIAO YU⁴, QINGHONG KONG^1,2,*, YUN LIU^1,2,4,*

BIOCELL, Vol., , DOI:10.32604/biocell.2024.047122

Abstract Background: Although it has been established that the human Solute Carrier Family 22 (SLC22) functions as a cationic transporter, influencing cellular biological metabolism by modulating the uptake of various cations, its impact on cancer prognosis remains unclear. Methods: We conducted a comprehensive analysis utilizing data from The Cancer Genome Atlas (TCGA) and other databases to assess the prognostic value and functional implications across various tumors. Silence of SLC22A1 RNA in glioma U251 cells was performed to access the impact of SLC22A1 on lower-grade glioma (LGG) progression. Results: Our findings demonstrated a significant correlation between SLC22A1 expression and the survival time… More >

MAHER KURDI^1,*, ALAA ALKHOTANI², ABDULRAHMAN SABBAGH³, EYAD FAIZO⁴, AHMED I. LARY⁵, AHMED K. BAMAGA⁶, MAJID ALMANSOURI⁷, BADR HAFIZ⁸, THAMER ALSHARIF⁹, SALEH BAEESA⁸

Oncology Research, Vol., , DOI:10.32604/or.2024.051112

Abstract Background: The dysregulation of Isocitrate dehydrogenase (IDH) and the subsequent production of 2-Hydroxyglutrate (2HG) may alter the expression of epigenetic proteins in Grade 4 astrocytoma. The interplay mechanism between IDH, O-6-methylguanine-DNA methyltransferase (MGMT)-promoter methylation, and protein methyltransferase proteins-5 (PRMT5) activity, with tumor progression has never been described. Methods: A retrospective cohort of 34 patients with G4 astrocytoma is classified into IDH-mutant and IDH-wildtype tumors. Both groups were tested for MGMT-promoter methylation and PRMT5 through methylation-specific and gene expression PCR analysis. Inter-cohort statistical significance was evaluated. Results: Both IDH-mutant WHO grade 4 astrocytomas (n = 22, 64.7%) and IDH-wildtype glioblastomas (n… More > Graphic Abstract

Sowon Lee¹, Boyoung Kim^1,*, Chung Kil Park^2,*

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2024.048803

Abstract This study explored how mental health professionals collaborate with peer supporters with mental disabilities in a community mental health institution. From January 19 to February 23, 2021, three 60 min interviews were conducted with six mental health professionals working at a Korean community center. The results were qualitatively analyzed and divided into four themes and eight categories. The four themes were the perceptions of and challenges in working with peer supporters with mental disabilities, conflict and confusion about working with peer supporters, forming partnerships with peer supporters, and policy support for peer supporters’ job security. Participants reported vague anxiety about… More >

Yi Tu^1,*, Yuan Wu², Yu Zeng³

FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2024.045624

Abstract The formation of ice on the leading edge of aircraft engines is a serious issue, as it can have catastrophic consequences. The Swirl Anti-Icing (SAI) system, driven by ejection, circulates hot fluid within a 360° annular chamber to heat the engine inlet lip surface and prevent icing. This study employs a validated Computational Fluid Dynamics (CFD) approach to study the impact of key geometric parameters of this system on flow and heat transfer characteristics within the anti-icing chamber. Additionally, the entropy generation rate and exergy efficiency are analyzed to assess the energy utilization in the system. The research findings indicate… More >

J. Sheril Angel¹, A. Diana Andrushia^1,*, T. Mary Neebha¹, Oussama Accouche², Louai Saker², N. Anand³

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047326

Abstract Facial emotion recognition (FER) has become a focal point of research due to its widespread applications, ranging from human-computer interaction to affective computing. While traditional FER techniques have relied on handcrafted features and classification models trained on image or video datasets, recent strides in artificial intelligence and deep learning (DL) have ushered in more sophisticated approaches. The research aims to develop a FER system using a Faster Region Convolutional Neural Network (FRCNN) and design a specialized FRCNN architecture tailored for facial emotion recognition, leveraging its ability to capture spatial hierarchies within localized regions of facial features. The proposed work enhances… More >