YOUYANG HU^1,#, YISHU LUO^1,#, TIANYUE XIE¹, YUEHUA CHEN^1,2, JUN ZHAO¹, WEICHAO JI³, ZHIWEI YAN³, SITONG QIU³, KEXIN GAO³, HAIXIA ZHU⁴, LIMIN MA^1,*, QIYOU YIN^1,*

Oncology Research, Vol.33, No.7, pp. 1695-1708, 2025, DOI:10.32604/or.2025.060021 - 26 June 2025

Abstract Objective: Neuroblastoma (NB) is frequently associated with high-risk pediatric cases that demonstrate limited response to cisplatin, contributing to a poor prognosis. Recent studies have explored the role of tumor cell senescence in increasing sensitivity to this chemotherapy agent. This study aims to identify genes related to cell senescence in children diagnosed with NB, evaluate their influence on cisplatin sensitivity, and investigate potential strategies to enhance the efficacy of chemotherapy. Methods: Gene expression profiles and clinical data were obtained for 498 NB patients from the GEO database (GSE49710). The study focused on identifying genes that were… More >

Rohith Grandhi, Mélodie B. Plourde, Aditi Balasubramani, Hugo Germain^*

Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1497-1504, 2025, DOI:10.32604/phyton.2025.063974 - 29 May 2025

Abstract Viral diseases are an important threat to crop yield, as they are responsible for losses greater than US$30 billion annually. Thus, understanding the dynamics of virus propagation within plant cells is essential for devising effective control strategies. However, viruses are complex to propagate and quantify. Existing methodologies for viral quantification tend to be expensive and time-consuming. Here, we present a rapid cost-effective approach to quantify viral propagation using an engineered virus expressing a fluorescent reporter. Using a microplate reader, we measured viral protein levels and we validated our findings through comparison by western blot analysis More >

WENZHUO YANG^1,#, HAODONG CHEN^2,#, ZHILAN ZHANG³, ZHIYONG XIA³, YUANYUAN JIN^1,*, ZHAOYONG YANG^1,*

Oncology Research, Vol.33, No.6, pp. 1485-1494, 2025, DOI:10.32604/or.2025.059426 - 29 May 2025

Abstract Background: Human natural killer (NK) cells have attracted widespread attention as a potential adoptive cell therapy (ACT). However, the therapeutic effects of NK cell infusion in patients with solid tumors are limited. There is an urgent need to explore a suitable new treatment plan to overcome weaknesses and support the superior therapeutic activity of NK cells. Methods: In this study, the mechanisms underlying the susceptibility of gastric cancer (GC) cell lines AGS, HGC-27, and NCI-N87 to NK cell-mediated cytotoxicity were explored. Results: Lactic dehydrogenase (LDH) release assays showed that all three GC cell lines were susceptible… More >

Yuen Lo Yau¹, Matthew S. Purlee², Lindsey M. Brinkley², Dipankar Gupta¹, David M. Saulino³, Dalia Lopez-Colon¹, John-Anthony Coppola¹, Dhanashree Rajderkar⁴, Himesh Vyas^1,*

Congenital Heart Disease, Vol.20, No.2, pp. 265-272, 2025, DOI:10.32604/chd.2025.065661 - 30 April 2025

Abstract Background: Patients with Fontan physiology are predisposed to congestive hepatopathy, progressive liver fibrosis, and end-stage liver disease. Ultrasound-based shear wave elastography (SWE) is a non-invasive tool to diagnose and monitor liver fibrosis. We sought to determine whether the degree of hemodynamic derangement prior to and after the Fontan operation is associated with increased liver stiffness measured by SWE. Methods: A single-center retrospective study of patients with Fontan circulation who underwent ultrasound elastography between 2008 and 2024 was conducted. Liver stiffness was measured by SWE and reported as velocity in m/s. Hemodynamic assessment with cardiac catheterization and… More >

Kun Liu¹, Chen Bao^1,*, Sidong Liu²

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4451-4468, 2025, DOI:10.32604/cmc.2024.059053 - 06 March 2025

Abstract Large amounts of labeled data are usually needed for training deep neural networks in medical image studies, particularly in medical image classification. However, in the field of semi-supervised medical image analysis, labeled data is very scarce due to patient privacy concerns. For researchers, obtaining high-quality labeled images is exceedingly challenging because it involves manual annotation and clinical understanding. In addition, skin datasets are highly suitable for medical image classification studies due to the inter-class relationships and the inter-class similarities of skin lesions. In this paper, we propose a model called Coalition Sample Relation Consistency (CSRC),… More >

Jian Gao¹, Hongliang Hao², Caifeng Wen^1,*, Yongsheng Wang³, Zhanhua Han⁴, Edwin E. Nykilla², Yuwen Zhang²

Energy Engineering, Vol.122, No.3, pp. 1175-1198, 2025, DOI:10.32604/ee.2025.061083 - 07 March 2025

Abstract Power quality is a crucial area of research in contemporary power systems, particularly given the rapid proliferation of intermittent renewable energy sources such as wind power. This study investigated the relationships between power quality indices of system output and PSD by utilizing theories related to spectra, PSD, and random signal power spectra. The relationship was derived, validated through experiments and simulations, and subsequently applied to multi-objective optimization. Various optimization algorithms were compared to achieve optimal system power quality. The findings revealed that the relationships between power quality indices and PSD were influenced by variations in More >

Xiuyun Liu¹, Jixia Sun², Feng Ming³, Minxiao Liu^2,*, Xinyu Wang², Yingjie Zhang^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 379-391, 2025, DOI:10.32604/phyton.2025.060726 - 06 March 2025

Abstract To study the main aroma components of Phalaenopsis orchid and their relationship with colors, 10 fragrant cultivars with different colors, like pink, rose, yellow, and purple, were used as samples in this experiment. Headspace-gas chromatography-mass spectrometry was used to determine the main components of floral fragrance and analyze the correlation between floral color and fragrance. The results showed that the main aroma components of the 10 fragrant cultivars of Phalaenopsis were alcohols, alkenes, esters, and benzene ring compounds, and the main aroma components of different cultivars were diverse. The main aroma components of yellow fragrant flowers… More >

L. S. Sundar^*, Sérgio M. O. Tavares, António M. B. Pereira, Antonio C. M. Sousa

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 131-162, 2025, DOI:10.32604/fhmt.2025.055854 - 26 February 2025

Abstract The experimental analysis takes too much time-consuming process and requires considerable effort, while, the Artificial Neural Network (ANN) algorithms are simple, affordable, and fast, and they allow us to make a relevant analysis in establishing an appropriate relationship between the input and output parameters. This paper deals with the use of back-propagation ANN algorithms for the experimental data of heat transfer coefficient, Nusselt number, and friction factor of water-based Fe₃O₄-TiO₂ magnetic hybrid nanofluids in a mini heat sink under magnetic fields. The data considered for the ANN network is at different Reynolds numbers (239 to 1874),… More >

Xueqian Wang^*, Hongsheng Su

Energy Engineering, Vol.122, No.2, pp. 667-680, 2025, DOI:10.32604/ee.2024.058102 - 31 January 2025

Abstract As the proportion of new energy increases, the traditional cumulant method (CM) produces significant errors when performing probabilistic load flow (PLF) calculations with large-scale wind power integrated. Considering the wind speed correlation, a multi-scenario PLF calculation method that combines random sampling and segmented discrete wind farm power was proposed. Firstly, based on constructing discrete scenes of wind farms, the Nataf transform is used to handle the correlation between wind speeds. Then, the random sampling method determines the output probability of discrete wind power scenarios when wind speed exhibits correlation. Finally, the PLF calculation results of More >

RENATA DA SILVA CARNEIRO¹, MATEUS HENRIQUE DE ALMEIDA DA COSTA¹, JOSé ZILTON LIMA VERDE SANTOS¹, VALDILéIA TEIXEIRA UCHôA², LUCIANO DA SILVA LOPES³, ANDERSON NOGUEIRA MENDES^1,*

BIOCELL, Vol.49, No.1, pp. 109-125, 2025, DOI:10.32604/biocell.2024.058405 - 24 January 2025

Abstract Neurodegenerative diseases are a major public health challenge, mainly affecting the elderly population and compromising their cognitive, sensory, and motor functions. Currently, available therapies focus on alleviating symptoms and slowing the progression of these conditions, but they do not yet offer a definitive cure. In this scenario, terpenes emerge as promising natural alternatives due to their neuroprotective properties. These compounds can reduce the formation of protein aggregates, neutralize free radicals, and inhibit pro-inflammatory enzymes, which are crucial factors in the development of neurodegenerative diseases. In addition, terpenes also play an important role in the… More >