FANG CHEN¹, DONGQIANG YANG², YUHUA RU³, SHAN CAO¹, AISHE GAO¹

Oncology Research, Vol.33, No.7, pp. 1799-1800, 2025, DOI:10.32604/or.2025.064363 - 26 June 2025

Abstract This article has no abstract. More >

JIANG ZHU^*

Oncology Research, Vol.33, No.7, pp. 1571-1580, 2025, DOI:10.32604/or.2025.058957 - 26 June 2025

Abstract Changes in the intestinal immune micro-environment of the gastrointestinal tract are indispensable in the occurrence and development of gastrointestinal cancer. Tertiary lymphoid structure (TLS) is an immune cell aggregation structure found around gastrointestinal cancer in recent years. More and more research proves that tertiary lymphoid structure plays a key biological role and clinical value in disease progression, patient prognosis, and adjuvant treatment. This review aims to explore the research progress, biological significance, and potential clinical applications of TLSs in gastrointestinal tumors. The formation, development, and interaction of TLSs with tumor microenvironment have been reviewed and More >

Kachi Anvesh^1,2, Bharati M. Reshmi^2,3, Shanmugasundaram Hariharan⁴, H. Venkateshwara Reddy⁵, Murugaperumal Krishnamoorthy⁶, Vinay Kukreja⁷, Shih-Yu Chen^8,9,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1485-1517, 2025, DOI:10.32604/cmes.2025.063239 - 30 May 2025

Abstract Automated classification of retinal fundus images is essential for identifying eye diseases, though there is earlier research on applying deep learning models designed especially for detecting tessellation in retinal fundus images. This study classifies 4 classes of retinal fundus images with 3 diseased fundus images and 1 normal fundus image, by creating a refined VGG16 model to categorize fundus pictures into tessellated, normal, myopia, and choroidal neovascularization groups. The approach utilizes a VGG16 architecture that has been altered with unique fully connected layers and regularization using dropouts, along with data augmentation techniques (rotation, flip, and… More >

María Belén Rocco, Clara Requena D’Alessio, Valeria Giselle Sánchez, Horacio Eduardo Romeo, María Laura Barreiro Arcos^*

BIOCELL, Vol.49, No.4, pp. 629-646, 2025, DOI:10.32604/biocell.2025.062525 - 30 April 2025

Abstract Introduction: Hyperthyroidism is known to affect various physiological systems, including the immune system. Thyroid hormones (THs) play a crucial role in regulating immune function, and alterations in THs levels can lead to immune dysregulation. Objective: Currently, we aimed to elucidate the effects of hyperthyroidism on immune function in BALB/c mice, with a focus on anatomical and histological changes in lymphoid organs, the immune response to mitogenic stimulation, mitochondrial dynamics, and reactive oxygen species (ROS) production. Methods: Hyperthyroidism was induced in BALB/c mice by administering thyroxine (T4; 14 mg/L) in their drinking water for 30 days. Thyroid… More >

Kaku Haribabu^1,*, Prasath R¹, Praveen Joe IR²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 413-448, 2025, DOI:10.32604/cmes.2025.059406 - 11 April 2025

Abstract Thyroid nodules, a common disorder in the endocrine system, require accurate segmentation in ultrasound images for effective diagnosis and treatment. However, achieving precise segmentation remains a challenge due to various factors, including scattering noise, low contrast, and limited resolution in ultrasound images. Although existing segmentation models have made progress, they still suffer from several limitations, such as high error rates, low generalizability, overfitting, limited feature learning capability, etc. To address these challenges, this paper proposes a Multi-level Relation Transformer-based U-Net (MLRT-UNet) to improve thyroid nodule segmentation. The MLRT-UNet leverages a novel Relation Transformer, which processes… More >

Rui Zhang¹, Le Ren¹, Zhihang Liu¹, Xinyue Gu¹, Shanshan Du¹, Xiao Chen¹, Bingran Xi¹, Bingnan Zhao^1,2, Chao Si^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 709-721, 2025, DOI:10.32604/phyton.2025.062281 - 31 March 2025

Abstract Plant invasion poses a serious environmental challenge to freshwater ecosystems. Heavy metal pollution and nutrient enrichment, particularly nitrogen (N) and phosphorus (P), are two additional critical environmental issues known to influence the growth of invasive plants. Notably, the N/P ratio in the environments is often inconstant; however, whether these variations can cause differential responses in invasive plants remains underexplored, despite its crucial importance for understanding plant invasiveness. In this study, we examined the effects of different N/P ratios (4:1, 16:1, 32:1, 64:1) on the growth of a widespread invasive plant Alternanthera philoxeroides in cadmium (Cd) polluted… More >

Amel Ksibi^1,*, Mohammed Zakariah², Latifah Almuqren¹, Ala Saleh Alluhaidan¹

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4093-4116, 2025, DOI:10.32604/cmc.2025.059615 - 06 March 2025

Abstract The analysis of Android malware shows that this threat is constantly increasing and is a real threat to mobile devices since traditional approaches, such as signature-based detection, are no longer effective due to the continuously advancing level of sophistication. To resolve this problem, efficient and flexible malware detection tools are needed. This work examines the possibility of employing deep CNNs to detect Android malware by transforming network traffic into image data representations. Moreover, the dataset used in this study is the CIC-AndMal2017, which contains 20,000 instances of network traffic across five distinct malware categories: a.… More >

Kuo-Yang Huang¹, Sheng-Chien Lin^2,3, Chun-Hung Su^4,5,6, Sheng-Wen Wu^4,7, Ching-Chi Tseng^8,9, Wei-Chin Hung¹⁰, Shih-Pin Chen^4,5, Yu-Hsiang Kuan^2,3,*

BIOCELL, Vol.49, No.2, pp. 315-334, 2025, DOI:10.32604/biocell.2025.061073 - 28 February 2025

Abstract ABSTRACT: Background: Acute respiratory distress syndrome (ARDS) is the major therapeutic dilemma associated with significant inflammation and severe pulmonary dysfunction. Liriodendrin is a bioactive compound extract from traditional Chinese medicine, historically utilized for modulating inflammatory responses and alleviating symptoms in multiple disease models. Methods: At present, BALB/c mice were used to explore the effects of liriodendrin on lipopolysaccharide (LPS)-induced ARDS. Before LPS was administered, the mice were treated with either liriodendrin or dexamethasone. Leukocyte infiltration, lung edema, and alveolar-capillary barrier integrity were evaluated in the bronchoalveolar lavage fluid (BALF) and pulmonary parenchyma. The expression of adhesion… More >

ZIYI FANG^1,2, YONGFU SHAO^1,2,*, MENG HU¹, JIANING YAN², GUOLIANG YE^2,*

Oncology Research, Vol.33, No.3, pp. 549-566, 2025, DOI:10.32604/or.2024.051589 - 28 February 2025

Abstract Circular RNAs (circRNAs) are formed by splicing of precursor RNAs and covalently linked at the 5′ and 3′ ends. Dysregulated circRNAs are closely related to the epithelial-mesenchymal transition (EMT) of gastrointestinal malignancies. CircRNAs, including circRNA_0008717, circGOT1, circ-DOCK5, circVPS33B, circPVT1, circMET, circ-OXCT1, circ_67835, circRTN4, circ_0087502, circFNDC38, circ_PTEN1, circPGPEP1, and circ-E-Cad are involved in the EMT process of gastrointestinal malignancies through a variety of mechanisms, such as regulating EMT-inducing transcription factors, signaling pathways, and tumor microenvironments. Gastrointestinal (GI) malignancies are common malignant tumors worldwide, and the heterogeneity and easy metastasis of gastrointestinal malignancies limit the effectiveness of More > Graphic Abstract

Auriane Chelle^1,*, Johnny Douvinet^1,2

Revue Internationale de Géomatique, Vol.34, pp. 1-20, 2025, DOI:10.32604/rig.2024.054737 - 13 January 2025

Abstract Cet article propose une analyse séparée puis combinée de trois procédures administratives qui servent de référence pour cartographier les communes à risque inondation en France hexagonale (i.e., les arrêtés de catastrophes naturelles (CatNat), les Dossiers Départementaux des Risques Majeurs (DDRM) et les Plans de Prévention du Risque Inondation (PPRi)). Deux questions sont posées : quels enseignements peut-on tirer de l’analyse de la couverture spatiale de chacune des procédures, et en les combinant, peut-on voir des effets de seuils ou des jeux d’échelle ? Si les arrêtés CatNat sont révélateurs d’une saisonnalité des inondations et d’une More > Graphic Abstract