Zakia Akter¹, Sumona Akter Jannat², Sheikh Md. Shibly¹, Afroza Sultana¹, Amdadul Hoque Amran¹, Joairia Hossain Faria¹, Sabina Yeasmin¹, Md. Parvez Anwar^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.075524 - 30 January 2026

Abstract Seaweed extract contains plant growth regulators and bio-stimulants that enhance plant growth and development. In Bangladesh, winter rice (Boro rice) in the nursery bed often shows poor seed emergence and weak seedling growth due to low temperature. This problem can be addressed by using seaweed extract as a seed priming agent and bio-stimulant. The objective of this study was to evaluate the effectiveness of seaweed extract (Crop Plus) on seed emergence, seedling growth, and vigor of winter rice in the nursery. Two experiments were conducted at Bangladesh Agricultural University using BRRI dhan89. The laboratory experiment… More >

Ramazan İnci^1,*, Davut Açar², Osman Tayyar Çelik³, Yunus Tunç⁴

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.072072 - 28 January 2026

Abstract Background: Bullying during adolescence is shaped by numerous psychosocial factors such as family dynamics, attachment, and peer relationships. This study aims to examine parental acceptance-rejection, attachment styles, and social exclusion factors as key psychosocial variables predicting bullying behavior in adolescents. Methods: In a cross-sectional study conducted with 349 high school students in Hakkari, Türkiye. Data were collected using the Olweus Bullying Scale, the Parental Acceptance-Rejection Scale, the Social Exclusion Scale, and the Three-Dimensional Attachment Styles Scale. Independent samples t-tests, one-way ANOVAs, Pearson correlations, and hierarchical regression analyses were performed. Results: Research findings reveal that peer bullying varies… More >

Yingying Lan, Bo Liu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075706 - 29 January 2026

Abstract In this work, the Hierarchical Quadrature Element Method (HQEM) formulation of geometrically exact shells is proposed and applied for geometrically nonlinear analyses of both isotropic and laminated shells. The stress resultant formulation is developed within the HQEM framework, consequently significantly simplifying the computations of residual force and stiffness matrix. The present formulation inherently avoids shear and membrane locking, benefiting from its high-order approximation property. Furthermore, HQEM’s independent nodal distribution capability conveniently supports local p-refinement and flexibly facilitates mesh generation in various structural configurations through the combination of quadrilateral and triangular elements. Remarkably, in lateral buckling… More >

Rasit Dinc¹, Nurittin Ardic^2,*

BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.072337 - 23 January 2026

Abstract Neutrophil extracellular traps (NETs) have emerged as key mediators of cardiovascular diseases (CVDs), linking innate immune activation to vascular injury, thrombosis, and maladaptive remodeling. This review synthesizes recent insights into the molecular and cellular pathways driving NET formation, including post-translational modifications, metabolic reprogramming, inflammasome signaling, and autophagy. It highlights the role of NETs in atherosclerosis, thrombosis, myocardial ischemia-reperfusion injury, and hypertension, emphasizing common control points such as peptidylarginine deiminase 4 (PAD4)-dependent histone citrullination and nicotinamide adenine dinucleotide phosphate oxidases 2 (NOX2)-mediated oxidative stress. Mechanistic interpretation of circulating biomarkers, including myeloperoxidase (MPO)-DNA complexes, citrullinated histone H3,… More >

Moyi Zhang, Yixin Wang^*, Yu Cheng

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071021 - 12 January 2026

Abstract Modern intelligent systems, such as autonomous vehicles and face recognition, must continuously adapt to new scenarios while preserving their ability to handle previously encountered situations. However, when neural networks learn new classes sequentially, they suffer from catastrophic forgetting—the tendency to lose knowledge of earlier classes. This challenge, which lies at the core of class-incremental learning, severely limits the deployment of continual learning systems in real-world applications with streaming data. Existing approaches, including rehearsal-based methods and knowledge distillation techniques, have attempted to address this issue but often struggle to effectively preserve decision boundaries and discriminative features… More >

Huihui Shi^1,#, Lei Chen^2,#, Juan Huang^3,#, Xuejing Lin², Lei Huang⁴, Min Tang⁴, Kai Lu^5,*, Wenchao Wang^4,*, Maoling Zhu^1,§,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.068737 - 30 December 2025

Abstract Background: Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality worldwide. This study aimed to identify key genes involved in HCC development and elucidate their molecular mechanisms, with a particular focus on mitochondrial function and apoptosis. Methods: Differential expression analyses were performed across three datasets—The Cancer Genome Atlas (TCGA)-Liver Hepatocellular Carcinoma (LIHC), GSE36076, and GSE95698—to identify overlapping differentially expressed genes (DEGs). A prognostic risk model was then constructed. Cysteine/serine-rich nuclear protein 1 (CSRNP1) expression levels in HCC cell lines were assessed via western blot (WB) and quantitative reverse transcription polymerase chain reaction (qRT-PCR).… More > Graphic Abstract

Xuanhong Wang¹, Hongyu Guo¹, Jiazhen Li¹, Mingchen Wang¹, Xian Wang¹, Yijun Zhang^2,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.069482 - 10 November 2025

Abstract Over the past decade, large-scale pre-trained autoregressive and diffusion models rejuvenated the field of text-guided image generation. However, these models require enormous datasets and parameters, and their multi-step generation processes are often inefficient and difficult to control. To address these challenges, we propose CAFE-GAN, a CLIP-Projected GAN with Attention-Aware Generation and Multi-Scale Discrimination, which incorporates a pre-trained CLIP model along with several key architectural innovations. First, we embed a coordinate attention mechanism into the generator to capture long-range dependencies and enhance feature representation. Second, we introduce a trainable linear projection layer after the CLIP text… More >

Kunpeng Zhou¹, Tao Wu^1,*, Jia Zhang²

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-27, 2026, DOI:10.32604/cmc.2025.068160 - 10 November 2025

Abstract Over the past few years, video live streaming has gained immense popularity as a leading internet application. In current solutions offered by cloud service providers, the Group of Pictures (GOP) length of the video source often significantly impacts end-to-end (E2E) latency. However, designing an optimized GOP structure to reduce this effect remains a significant challenge. This paper presents two key contributions. First, it explores how the GOP length at the video source influences E2E latency in mainstream cloud streaming services. Experimental results reveal that the mean E2E latency increases linearly with longer GOP lengths. Second, More >

Dayong Huang^1,2,*, Wenjun Wang^1,2, Xiaofu Tang^1,2, Pengfei Zhu³, Xianqiong Zhao^3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012063

Abstract Accurate prediction for the tensile properties (tensile modulus and strength) of injection molded fiber-reinforced thermoplastics (IMFT) plays an important role in the design of structures made with such composites. Based on the Laminate analogy approach (LAA), a unified distribution function (UDF) of tensile properties is derived by introducing the assumption that the fiber length distribution (FLD) and fiber orientation distribution (FOD) are independent of each other. The UDF of tensile properties is simplified by introducing the modified monotonic functions of fiber length and orientation factors (λL and λO). Compared with the tensile modulus and strength… More >

Xiaoqin Zheng¹, Yuqing Wan¹, Qian Zhang², Liqin He², Shihao Tang¹, Qiguo Zhuang², Lihua Wang^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3879-3892, 2025, DOI:10.32604/phyton.2025.073229 - 29 December 2025

Abstract To investigate endogenous hormone changes in “Hongyang” kiwifruit from overwintering buds to floral morphogenesis (bell-shaped flowering stage), systematic observations were conducted during the undifferentiated stage, axillary bud differentiation stage, and floral morphogenesis stage from late November 2023 to early April 2024. Paraffin sectioning was employed to examine floral bud morphology, while LC-MS targeted metabolomics quantified changes in 15 endogenous hormones across 8 classes. Results indicated floral bud differentiation commenced from late January to early February and concluded by mid-April, spanning approximately 70 days. Approximately 33 days after axillary bud initiation marked the axillary bud primordium… More >