Sha Hu^1,2,#, Wenjing Wang^1,#, Qianfang Hu^3,#, Rujuan Zheng^1,2, Qinghe Huang^1,2, Hui Shi^1,2, Xinyuan Ding^3,*, Wenjuan Wang^1,2,*, Zengyan Zhu^1,2,*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.068967 - 19 January 2026

Abstract Objectives: Acquired resistance to paclitaxel represents a critical barrier to the effective chemotherapy of non-small cell lung cancer (NSCLC). The present study aimed to elucidate the molecular and pharmacological mechanisms promoting paclitaxel resistance in NSCLC and to explore potential strategies for overcoming this resistance. Methods: Here, we report an integrated pharmacological and analytical approach to quantify paclitaxel disposition and overcome resistance in a A549/TAX cell model (paclitaxel-resistant A549 cells). Results: Cell counting kit-8 (CCK-8) assay, colony formation, and apoptosis assays confirmed that A549/TAX cells exhibited marked resistance to paclitaxel relative to parental A549 cells. Based on… More >

Taehoon Kim, Sehun Lee, Junho Ahn^*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-30, 2026, DOI:10.32604/cmc.2025.071597 - 09 December 2025

Abstract As large, room-scale environments become increasingly common, their spatial complexity increases due to variable, unstructured elements. Consequently, demand for room-scale service robots is surging, yet most technologies remain corridor-centric, and autonomous navigation in expansive rooms becomes unstable even around static obstacles. Existing approaches face several structural limitations. These include the labor-intensive requirement for large-scale object annotation and continual retraining, as well as the vulnerability of vanishing point or line-based methods when geometric cues are insufficient. In addition, the high cost of LiDAR and 3D perception errors caused by limited wall cues and dense interior clutter… More >

Abdelouahab Benseddik^1,*, Djamel Daoud¹, Ahmed Badji^1,2, Hocine Bensaha¹, Tarik Hadibi^3,5, Yunfeng Wang⁴, Li Ming⁴

Energy Engineering, Vol.122, No.12, pp. 5021-5037, 2025, DOI:10.32604/ee.2025.072991 - 27 November 2025

Abstract In Saharan climates, greenhouses face extreme diurnal temperature fluctuations that generate thermal stress, reduce crop productivity, and hinder sustainable agricultural practices. Passive thermal storage using Phase Change Materials (PCM) is a promising solution to stabilize microclimatic conditions. This study aims to evaluate experimentally and numerically the effectiveness of PCM integration for moderating greenhouse temperature fluctuations under Saharan climatic conditions. Two identical greenhouse prototypes were constructed in Ghardaïa, Algeria: a reference greenhouse and a PCM-integrated greenhouse using calcium chloride hexahydrate (CaCl₂·6H₂O). Thermal performance was assessed during a five-day experimental period (7–11 May 2025) under severe ambient conditions.… More > Graphic Abstract

Faiza Benabdallah¹, Kaouther Ghachem¹, Walid Hassen², Haythem Baya², Hind Albalawi³, Lioua Kolsi^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1839-1861, 2025, DOI:10.32604/cmes.2025.071678 - 26 November 2025

Abstract Current developments in magnetohydrodynamic (MHD) convection and nanofluid engineering technology have have greatly enhanced heat transfer performance in process systems, particularly through the use of carbon nanotube (CNT)–based fluids that offer exceptional thermal conductivity. Despite extensive research on MHD natural convection in enclosures, the combined effects of complex obstacle geometries, magnetic fields, and CNT nanofluids in three-dimensional configurations remain insufficiently explored. This research investigates MHD natural convection of carbon nanotube (CNT)-water nanofluid within a three-dimensional cavity. The study considers an inclined cross-shaped hot obstacle, a configuration not extensively explored in previous works. The work aims… More >

Sumeyra Ucar¹, Muhammed Aldaif ², Esra Yaprak¹, Esma Yigider ², Murat Aydin^2,*, Emre Ilhan¹, Abdulkadir Ciltas², Ertan Yildirim³

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2461-2477, 2025, DOI:10.32604/phyton.2025.068383 - 29 August 2025

Abstract Wheat is a crucial crop for global food security, and effective in vitro plant regeneration techniques are considered a precondition for genetic engineering in wheat breeding programs. A practical approach for in vitro regeneration of the Kırik bread wheat cultivar via somatic embryogenesis was investigated using endosperm-supported mature embryos. Callus cultures were initiated from mature embryos supported by endosperm, cultured on phytagel-based Murashige and Skoog (MS) basal medium containing dicamba (12 mg/L) and indole-3-acetic acid (IAA) (0.5 mg/L) under dark conditions. This research was designed to examine the impact of putrescine (Put) (0.0 and 1.0 mM) on… More >

Hongen Li, Hongjuan Ren^*, Cong Li, Yecui Yan

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 921-941, 2025, DOI:10.32604/fhmt.2025.066512 - 30 June 2025

Abstract The flow field architecture of the proton exchange membrane fuel cell (PEMFC) cathode critically determines its performance. To enhance PEMFC operation through structural optimization, trapezoidal obstacles were implemented in the cathode flow channels. The height dependence of these obstacles was systematically investigated, revealing that a 0.7 mm obstacle height enhanced mass transfer from channels to the gas diffusion layer (GDL) compared to conventional triple-serpentine designs. This configuration achieved a 12.08% increase in limiting current density alongside improved water management. Subsequent studies on obstacle distribution density identified 75% density as optimal, delivering maximum net power density More >

Dandan Wang^*, Jiaxin Chen, Yanwen Zhang

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1137-1158, 2025, DOI:10.32604/phyton.2025.063894 - 30 April 2025

Abstract Taxus cuspidata, a rare species of the Taxus genus, and its wild resources are under severe threat. The development of cultivated species has become an important strategy to replace wild species. The objective of this work was to elucidate the differences in secondary metabolite accumulation, particularly in the paclitaxel biosynthesis pathway, between wild and cultivated species. This study employed liquid chromatography-tandem mass spectrometry (LC-MS/MS) and RNA sequencing (RNA-Seq) technologies to conduct integrated metabolomic and transcriptomic analyses of wild and cultivated species of T. cuspidata. The results showed that the content of paclitaxel in cultivated species was significantly higher… More >

Hongxiao Wang¹, Hongshen Liu¹, Dingsen Zhang^1,*, Ziye Zhang¹, Yonghui Yue¹, Jie Chen²

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1987-2001, 2025, DOI:10.32604/cmc.2025.060384 - 16 April 2025

Abstract Despite its immense potential, the application of digital twin technology in real industrial scenarios still faces numerous challenges. This study focuses on industrial assembly lines in sectors such as microelectronics, pharmaceuticals, and food packaging, where precision and speed are paramount, applying digital twin technology to the robotic assembly process. The innovation of this research lies in the development of a digital twin architecture and system for Delta robots that is suitable for real industrial environments. Based on this system, a deep reinforcement learning algorithm for obstacle avoidance path planning in Delta robots has been developed, More >

Chayut Bunterngchit¹, Laith H. Baniata², Mohammad H. Baniata³, Ashraf ALDabbas⁴, Mohannad A. Khair⁵, Thanaphon Chearanai⁶, Sangwoo Kang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 517-536, 2025, DOI:10.32604/cmc.2025.060368 - 26 March 2025

Abstract Stroke is a leading cause of death and disability worldwide, significantly impairing motor and cognitive functions. Effective rehabilitation is often hindered by the heterogeneity of stroke lesions, variability in recovery patterns, and the complexity of electroencephalography (EEG) signals, which are often contaminated by artifacts. Accurate classification of motor imagery (MI) tasks, involving the mental simulation of movements, is crucial for assessing rehabilitation strategies but is challenged by overlapping neural signatures and patient-specific variability. To address these challenges, this study introduces a graph-attentive convolutional long short-term memory (LSTM) network (GACL-Net), a novel hybrid deep learning model… More >

Qinglei Zhang, Bai Hu^*, Jiyun Qin, Jianguo Duan, Ying Zhou

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1257-1273, 2025, DOI:10.32604/cmc.2025.059955 - 26 March 2025

Abstract Grasping is one of the most fundamental operations in modern robotics applications. While deep reinforcement learning (DRL) has demonstrated strong potential in robotics, there is too much emphasis on maximizing the cumulative reward in executing tasks, and the potential safety risks are often ignored. In this paper, an optimization method based on safe reinforcement learning (Safe RL) is proposed to address the robotic grasping problem under safety constraints. Specifically, considering the obstacle avoidance constraints of the system, the grasping problem of the manipulator is modeled as a Constrained Markov Decision Process (CMDP). The Lagrange multiplier… More >