Yi Feng^1,#, Haoxin Yang², Guicai Liang¹, Jun Chen³, Tao Li¹, Yingjuan Wang⁴, Jilin Chang¹, Yan Li³, Meng Yang¹, Xilong Zhou¹, Zhiqiang Wang^5,*, Chunlei Ge^1,*

Oncology Research, Vol.33, No.12, pp. 3801-3836, 2025, DOI:10.32604/or.2025.067824 - 27 November 2025

Abstract Immune checkpoint inhibitor (ICI) has limited efficacy in the treatment of immune “cold” tumors. Due to insufficient T cell infiltration and heterogeneous programmed death ligand 1 (PD-L1) expression, the ORR is only 5%–8% compared with 30%–40% of “hot” tumors. This article reviews the synergistic mechanism, clinical efficacy and optimization strategy of oncolytic virus (OVs) combined with ICIs in the treatment of refractory malignant tumors. Systematic analysis of mechanistic interactions across tumor types and clinical trial data demonstrates that OVs transform the immunosuppressive microenvironment by inducing immunogenic cell death and activating innate immunity. Concurrently, ICIs enhance… More >

Guiling Xu^1,#, Xiaoxuan You^1,#, Yuehua Feng^1,2,*, Xiaoke Wang¹, Yuqi Gao¹, Hongjun Ren¹, Zhili Han¹, Jiale Li¹

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3251-3268, 2025, DOI:10.32604/phyton.2025.067997 - 29 October 2025

Abstract Nitrogen (N) reduction combined with organic fertilizer has become a highly popular fertilization method, meeting the sustainable development of agriculture. A field experiment was conducted to investigate the effects of N reduction (NR) and combined application of organic fertilizer (OF) on N utilization, yield, and quality of hybrid indica rice in the karst area. Using rice ‘Yixiangyou2115’ as the material, a split-plot design experiment was carried out with OF application rate as the main plots and NR rate as the subplots. The OF application rate had three levels: M0 (0 kg/ha), M1 (low OF, 1673… More >

Qin Qin¹, Xuan Jiang^1,*, Jinhua Jiang¹, Dongfang Zhao¹, Zimei Tu¹, Zhiwei Shen²

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4849-4867, 2025, DOI:10.32604/cmc.2025.067919 - 23 October 2025

Abstract The effectiveness of industrial character recognition on cast steel is often compromised by factors such as corrosion, surface defects, and low contrast, which hinder the extraction of reliable visual information. The problem is further compounded by the scarcity of large-scale annotated datasets and complex noise patterns in real-world factory environments. This makes conventional OCR techniques and standard deep learning models unreliable. To address these limitations, this study proposes a unified framework that integrates adaptive image preprocessing with collaborative reasoning among LLMs. A Biorthogonal 4.4 (bior4.4) wavelet transform is adaptively tuned using DE to enhance character… More >

Yilun Xiang¹, Xuan Zhou^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011675

Abstract As lunar exploration advances, the transportation of substantial quantities of supplies to the lunar surface will be essential for forthcoming manned missions and lunar development initiatives. To address the unique lunar environment characterized by the thin atmosphere and low gravity, a new combined airbag landing system for lunar cargo delivery was proposed, specifically designed to avoid generating a lot of dust during venting processes. A cushioning dynamics model of the combined airbag landing system was developed and verified through the ground drop experiment. Given the complexity of actual landing conditions, the effects of landing parameters… More >

Anjali Kariyarath Valappil^1,#, Reshmi Akter^2,#, Muhammad Awais², Dong Uk Yang³, Daehyo Jung², Li Ling⁴, Eun Kim⁵, Kyu Hyeong Yoon⁵, Yoon Ok Lee⁵, Deok Chun Yang^1,2,4,*

BIOCELL, Vol.49, No.9, pp. 1771-1795, 2025, DOI:10.32604/biocell.2025.069145 - 25 September 2025

Abstract Objectives: The phytochemical investigation of traditional herbal medicines holds significant promise for modern drug discovery, particularly in cancer therapy. This study aimed to evaluate the cytotoxicity, apoptosis induction, and immune-modulatory activities of extracts from three herbal medicines with historical use in traditional medicine—Acanthopanax sessiliflorus, Phragmites communis, and Pinus densiflora, as well as their combined extract (GMAS 01/COM), on human lung cancer cells (A549) and normal cell lines, including murine macrophages (RAW 264.7) and human keratinocytes (HaCaT). Methods: Plant extracts were prepared using aqueous extraction, sonication, and rotary evaporation. The total phenolic and flavonoid contents were quantified using the… More >

Chuhan Zhao^1,*, Souad Morsli², Laurent Caramelle³, Mohammed El Ganaoui³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 2001-2025, 2025, DOI:10.32604/fdmp.2025.068093 - 12 September 2025

Abstract Carbon dioxide (CO₂) is often monitored as a convenient yardstick for indoor air safety, yet its ability to stand in for pathogen-laden aerosols has never been settled. To probe the question, we reproduced an open-plan office at full scale (7.2 m 5.2 m 2.8 m) and introduced a breathing plume that carried 4% CO₂, together with a polydisperse aerosol spanning 0.5–10 m (1320 particles s⁻¹). Inlet air was supplied at 0.7, 1.4, and 2.1 m s⁻¹, and the resulting fields were simulated with a Realisable – RANS model coupled to Lagrangian particle tracking. Nine strategically placed probes… More >

Soufiane Khedairia¹, Akram Bennour^2,*, Mouaaz Nahas³, Aida Chefrour¹, Rashiq Rafiq Marie⁴, Mohammed Al-Sarem⁵

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1267-1285, 2025, DOI:10.32604/cmc.2025.066601 - 29 August 2025

Abstract These days, social media has grown to be an integral part of people’s lives. However, it involves the possibility of exposure to “fake news,” which may contain information that is intentionally or inaccurately false to promote particular political or economic interests. The main objective of this work is to use the co-attention mechanism in a Combined Graph neural network model (CMCG) to capture the relationship between user profile features and user preferences in order to detect fake news and examine the influence of various social media features on fake news detection. The proposed approach includes… More >

Yuanfei Wei^1,2, Panpan Song³, Qifang Luo^3,4,*, Yongquan Zhou^1,2,3,4

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1235-1265, 2025, DOI:10.32604/cmc.2025.066527 - 29 August 2025

Abstract The combined heat and power economic dispatch (CHPED) problem is a highly intricate energy dispatch challenge that aims to minimize fuel costs while adhering to various constraints. This paper presents a hybrid differential evolution (DE) algorithm combined with an improved equilibrium optimizer (DE-IEO) specifically for the CHPED problem. The DE-IEO incorporates three enhancement strategies: a chaotic mechanism for initializing the population, an improved equilibrium pool strategy, and a quasi-opposite based learning mechanism. These strategies enhance the individual utilization capabilities of the equilibrium optimizer, while differential evolution boosts local exploitation and escape capabilities. The IEO enhances… More >

Pan Duan^*, Enze Peng

Energy Engineering, Vol.122, No.9, pp. 3817-3838, 2025, DOI:10.32604/ee.2025.066491 - 26 August 2025

Abstract To address the challenges of fault line identification and low detection accuracy of wave head in Fault Location (FL) research of distribution networks with complex topologies, this paper proposes an FL method of Multi-Branch distribution line based on Maximal Overlap Discrete Wavelet Transform (MODWT) combined with the improved Teager Energy Operator (TEO). Firstly, the current and voltage Traveling Wave (TW) signals at the head of each line are extracted, and the fault-induced components are obtained to determine the fault line by analyzing the polarity of the mutation amount of fault voltage and current TWs. Subsequently,… More >

Xiaolong Xiao¹, Xiaoxing Lu^1,*, Ziran Guo¹, Jian Liu¹, Shenglong Wu², Ye Cai²

Energy Engineering, Vol.122, No.8, pp. 3117-3132, 2025, DOI:10.32604/ee.2025.065631 - 24 July 2025

Abstract With the popularization of microgrid construction and the connection of renewable energy sources to the power system, the problem of source and load uncertainty faced by the coordinated operation of multi-microgrid is becoming increasingly prominent, and the accuracy of typical scenario predictions is low. In order to improve the accuracy of scenario prediction under source and load uncertainty, this paper proposes a typical scenario identification model based on random forests and order parameters. Firstly, a method for ordinal parameter identification and quantification is provided for the coordinated operating mode of multi-microgrids, taking into account source-load… More >