Damilola Olofintuyi, Ayesha Siddika, Abdollah Monfared, Hong Zhang, Jennifer Smith^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.079971 - 28 April 2026

Abstract Climate change is increasing the frequency and intensity of overlapping abiotic stresses, making cross-tolerance a critical component of plant resilience. While single stress responses have been extensively characterized, plants in natural and agricultural environments frequently encounter simultaneous or sequential stresses such as drought–heat, light–drought, and drought–salinity, which trigger nonadditive and often unpredictable physiological outcomes that vary with stress intensity, timing, and species. This review synthesizes current understanding of the mechanisms underlying cross-tolerance, emphasizing how contradictory signals, stress timing, and physiological integration shape plant responses under combined stress. We highlight how stomatal regulation, leaf energy balance,… More >

Yan Shen¹, Lisheng Xie^2,*

International Journal of Mental Health Promotion, Vol.28, No.4, 2026, DOI:10.32604/ijmhp.2026.078186 - 28 April 2026

Abstract Objectives: Pediatric allergic rhinitis (AR) is a highly prevalent chronic inflammatory airway disease that significantly impairs children’s sleep, learning performance, and quality of life. Despite standardized pharmacotherapy, long-term symptom control remains suboptimal, which is related to the poor treatment compliance of patients and the insufficient disease awareness of parents. This study aimed to evaluate the effects of parental cognitive enhancement combined with parent–child psychological support on symptom control, the quality of life, and underlying intervention mechanisms in children aged 6–14 years with moderate to severe AR. Methods: A total of 150 children aged 6–14 years with… More >

Xiansong Xie^1,*, Xiaoqian Qian²

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.074148 - 31 March 2026

Abstract Correlation function of acceleration responses-based damage identification methods has been developed and employed, while they still face the difficulty in identifying local or minor structural damages. To deal with this issue, a robust structural damage identification method is developed, integrating a modified holistic swarm optimization (MHSO) algorithm with a hybrid objective function. The MHSO is developed by combining Hammersley sequence-based population initialization, chaotic search around the worst solution, and Hooke-Jeeves pattern search around the best solution, thereby improving both global exploration and local exploitation capabilities. A hybrid objective function is constructed by merging acceleration correlation… More >

Rong Guo^1,2,3,*, Jie Xiao^1,2, Xuehan Wang⁴, Qi Jiang^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.077602 - 31 March 2026

Abstract To simultaneously reduce flow-induced noise and enhance hydraulic performance in centrifugal pumps, this study proposes a bionic volute tongue inspired by the serrated trailing-edge morphology of the long-eared owl wing. Hydraulic performance and volute-induced noise are integrated into a unified evaluation framework, enabling multi-objective optimization of the tongue geometry. An orthogonal experimental design coupled with Computational Fluid Dynamics (CFD) and Computational Fluid Acoustics (CFA) is employed to systematically assess the influence of serration parameters. A matrix-based decision method is then used to identify the optimal configuration balancing efficiency, head, and acoustic performance. The optimized design… More > Graphic Abstract

Yingxiu Chen¹, Zhongyu Ren¹, Jiasheng Yan², Yang Yu^1,*

Canadian Journal of Urology, Vol.33, No.1, pp. 143-154, 2026, DOI:10.32604/cju.2025.069041 - 28 February 2026

Abstract Objectives: Postmenopausal women with stress urinary incontinence (SUI) exhibit low androgen expression. This study aimed to evaluate the efficacy and safety of vaginal androgen combined with pelvic floor muscle training (PFMT) in the treatment of SUI in postmenopausal women. Methods: Postmenopausal women with SUI were recruited from Hainan West Central Hospital between January 2024 and March 2025. Participants were randomly assigned in a double-blind manner to receive either vaginal androgen cream combined with PFMT (treatment group) or a visually identical placebo cream (without androgens) combined with PFMT (control group). The vaginal cream was applied to… More >

Yang Deng^1,#, Tong Su^1,#, Bin Wu¹, Li Peng², Muyu Chen^1,2,*, Liang Zhang^1,*

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.072327 - 28 January 2026

Abstract Background: Submarine personnel often experience insomnia and reduced psychological resilience due to extended deployments in confined, high-stress environments. Effective non-pharmacological interventions are needed to improve sleep quality and resilience in this population. This study aimed to investigate the effect of virtual reality (VR) combined with forest therapy interventions on psychological resilience and sleep quality among submarine personnel with insomnia symptoms. Methods: Using convenience sampling, 92 submarine personnel with insomnia symptoms undergoing recuperation at a PLA sanatorium between July 2023 and May 2025 were randomly allocated to experimental and control groups (n = 46 each). The control group… More >

Cheng Yang^*, Hanjie Qi, Qing Yin

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070957 - 27 January 2026

Abstract In order to enhance the off-peak performance of gas turbine combined cycle (GTCC) units, a novel collaborative power generation system (CPG) was proposed. During off-peak operation periods, the remaining power of the GTCC was used to drive the adiabatic compressed air energy storage (ACAES), while the intake air of the GTCC was heated by the compression heat of the ACAES. Based on a 67.3 MW GTCC, under specific demand load distribution, a CPG system and a benchmark system (BS) were designed, both of which used 9.388% of the GTCC output power to drive the ACAES.… More >

Ruoxue Cai^1,#, Shuyi Hu^2,#, Feiyang Li², Huanhuan Sha^3,*, Guoren Zhou^2,*, Ying Fang³

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.070893 - 19 January 2026

Abstract Objective: To determine whether immunotherapy can bring new hope for patients with limited-stage small-cell lung cancer (LS-SCLC). We conducted this retrospective study to evaluate whether immunotherapy can achieve better efficacy in LS-SCLC patients. Methods: We evaluated 122 LS-SCLC patients who received concurrent chemoradiotherapy (CCRT) or sequential chemoradiotherapy (SCRT) (Group A) and immunotherapy combined with CCRT/SCRT followed by immunotherapy (Group B), to assess the objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS). Factors affecting prognosis were also explored using Cox analysis. The prognosis of patients with type 2 diabetes and patients with… More >

Jingshuai Pang^1,2, Songcen Wang¹, Hongyin Chen^1,2,*, Xiaoqiang Jia¹, Yi Guo¹, Ling Cheng¹, Xinhe Zhang¹, Jianfeng Li¹

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.070256 - 27 December 2025

Abstract To achieve the goals of sustainable development of the energy system and the construction of a low-carbon society, this study proposes a multi-energy storage collaborative optimization strategy for industrial park that integrates the laddered carbon trading mechanism with demand response. Firstly, a dual dimensional DR model is constructed based on the characteristics of load elasticity. The alternative DR enables flexible substitution of energy loads through complementary conversion of electricity/heat/cold multi-energy sources, while the price DR relies on time-of-use electricity price signals to guide load spatiotemporal migration; Secondly, the LCT mechanism is introduced to achieve optimal… More >

Wen-Tsai Sung¹, Indra Griha Tofik Isa^2,3, Sung-Jung Hsiao^4,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-31, 2026, DOI:10.32604/cmc.2025.070922 - 09 December 2025

Abstract Mango is a plant with high economic value in the agricultural industry; thus, it is necessary to maximize the productivity performance of the mango plant, which can be done by implementing artificial intelligence. In this study, a lightweight object detection model will be developed that can detect mango plant conditions based on disease potential, so that it becomes an early detection warning system that has an impact on increasing agricultural productivity. The proposed lightweight model integrates YOLOv7-Tiny and the proposed modules, namely the C2S module. The C2S module consists of three sub-modules such as the… More >