Yue Ma^1,2, Douwen Qin^1,2, Weiqiang Liu^1,2, Xiuting Ju^1,2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3527-3538, 2025, DOI:10.32604/phyton.2025.069643 - 01 December 2025

Abstract Comprehensive evaluation based on mineral element content is one of the effective methods for the exploration and utilization of wild tulip germplasm resources. In this study, Tulipa iliensis, Tulipa tianschanica and Tulipa heterophylla distributed in China were used as the research objects. The contents of 10 mineral elements (N, K, P, S, Ca, Mg, Cu, Zn, Fe, Mn) in roots, bulbs and leaves were determined, and the three wild tulips were comprehensively evaluated by correlation analysis, principal component analysis and cluster analysis. The results showed distinct variations in mineral element content among different organs of T. iliensis, T. tianschanica and T.… More >

Chih-Yin Chien^1,2, Tsae-Jyy Wang¹, Pei-Hung Liao¹, Ying-Hsiang Lee^3,4,5,*, Wei-Sho Ho^6,7,*

Congenital Heart Disease, Vol.20, No.5, pp. 601-612, 2025, DOI:10.32604/chd.2025.072431 - 30 November 2025

Abstract Background: Cardiac implantable electronic devices (CIEDs) are essential for preventing sudden cardiac death in patients with cardiovascular diseases, but implantation procedures carry risks of complications such as infection, hematoma, and bleeding, with incidence rates of 3–4%. Previous studies have examined individual risk factors separately, but integrated predictive models are lacking. We compared the predictive performance and interpretability of artificial neural network (ANN) and logistic regression models to evaluate their respective strengths in clinical risk assessment. Methods: This retrospective study analyzed data from 180 patients who underwent cardiac implantable electronic device (CIED) implantation in Taiwan between 2017… More >

Novik Budiwardhana^1,*, Indah Kartika Murni², Eva Miranda Marwali¹, Pribadi Wiranda Busro³, Fildza Intan Rizkia⁴, Muhamad Faza Soelaeman⁴, Yunita Widyastuti⁵

Congenital Heart Disease, Vol.20, No.5, pp. 591-600, 2025, DOI:10.32604/chd.2025.070345 - 30 November 2025

Abstract Background: Low cardiac output syndrome (LCOS) is a frequent and serious complication after pediatric cardiac surgery. Endothelial glycocalyx (EG) degradation, indicated by elevated syndecan-1, contributes to microvascular dysfunction and postoperative instability. The relationship between syndecan-1 dynamics and surgical risk categories remains unclear. Objective: To examine the association between perioperative syndecan-1 levels and clinical outcomes across Risk Adjustment for Congenital Heart Surgery (RACHS-1) categories. Methods: We analyzed 106 children (RACHS-1 categories 2–4) undergoing elective cardiac surgery with cardiopulmonary bypass (CPB). Syndecan-1 was measured at baseline (T0), 4 h (T4), and 72 h (T72). Outcomes included LCOS, vasoactive inotropic… More >

Ozgu Aydogdu^1,*, Onur Erdemoglu², Halil Ibrahim Bozkurt², Tansu Degirmenci², Michael Winder³

Canadian Journal of Urology, Vol.32, No.5, pp. 529-538, 2025, DOI:10.32604/cju.2025.064564 - 30 October 2025

Abstract Objectives: Treatment of patients with lower urinary tract symptoms (LUTS) is often challenging. In men, the origin of LUTS, in particular overactive bladder (OAB) symptoms, is often due to prostate enlargement. However, patients with chronic prostate inflammation (CPI) also frequently experience OAB. Thus far, it is not known if the inflammation per se or concomitant prostate enlargement is the underlying cause of LUTS. Currently, we aim to examine if there is any correlation between CPI and the persistence of OAB symptoms in patients with benign prostate hyperplasia (BPH). Methods: Fifty-one men underwent transurethral resection of… More >

Chenghuan Liu, Xiangbo Hu, Xiaogang Wang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010910

Abstract Digital image correlation (DIC) is an emerging non-contact optical measurement method that tracks speckle patterns on the specimen surface to obtain the deformation, providing an advanced methodology for the quantitative evaluation of full-field strain. The present work focuses on the quantitative assessment of deformation from micro to macro scales based on the DIC method and examines damage evolution in metal materials under static and cyclic loading conditions. First, an SEM-based DIC method allowing high-resolution strain measurement at subgrain scales is developed for investigating strain partitioning in dual-phase steel. The results reveal that the strain distribution… More >

Hui Yang¹, Yijie Li^2,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1279-1300, 2025, DOI:10.32604/ijmhp.2025.068399 - 30 September 2025

Abstract Background: Foreign Language Anxiety (FLA) represents a substantial affective barrier that undermines cognitive performance, motivation, and retention in language learners. Emerging evidence highlights mindfulness-based interventions as promising strategies for enhancing emotional regulation and reducing anxiety across educational contexts. This review synthesizes current research on mindfulness as a psychological intervention, aims to evaluate its efficacy in alleviating FLA, and discusses its broader implications for health-focused educational policy and practice. Methods: Following PRISMA guidelines, we systematically reviewed studies examining the relationships between mindfulness and FLA. Our search of four major databases (November 2023) initially identified 346 articles… More >

Zehui Qi, Sixing Wu^*, Jianbin Li

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3739-3766, 2025, DOI:10.32604/cmc.2025.067180 - 23 September 2025

Abstract False Data Injection Attacks (FDIAs) pose a critical security threat to modern power grids, corrupting state estimation and enabling malicious control actions that can lead to severe consequences, including cascading failures, large-scale blackouts, and significant economic losses. While detecting attacks is important, accurately localizing compromised nodes or measurements is even more critical, as it enables timely mitigation, targeted response, and enhanced system resilience beyond what detection alone can offer. Existing research typically models topological features using fixed structures, which can introduce irrelevant information and affect the effectiveness of feature extraction. To address this limitation, this… More >

Guanhui Li^1,2,#, Jiati Tang^1,#, Qifang Zhang³, Guilin Ou^1,3, Yingchao Lin¹, Liping Chen⁴, Xiang Li⁴, Shengjiang Wu¹, Zhu Ren¹, Zeyu Zhao^1,2, Xuekun Zhang², Benbo Xu^2,*, Xun Liu³, Kesu Wei^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2385-2398, 2025, DOI:10.32604/phyton.2025.068213 - 29 August 2025

Abstract To clarify the relationships between the main chemical components in flue-cured tobacco in Guizhou and field meteorological factors during the tobacco growing period, the contributions of meteorological factors to the chemical composition of flue-cured tobacco and related components were explored in this study. The flue-cured tobacco variety Y87 was used as the experimental material, and tobacco samples and meteorological data were collected from seven typical tobacco-growing areas in Guizhou Province. Using a random forest model and canonical correlation analysis, the impact and contribution of the monthly mean temperature, precipitation, and sunshine duration during the field… More >

Muhammad Osama¹, Sarwar Shah Khan^2,*, Sajid Khan², Muzammil Khan³, Mian Muhammad Danyal⁴, Reshma Khan¹

Digital Engineering and Digital Twin, Vol.3, pp. 17-34, 2025, DOI:10.32604/dedt.2025.066344 - 19 August 2025

Abstract Image fusion is a technique used to combine essential information from two or more source images into a single, more informative output image. The resulting fused image contains more meaningful details than any individual source image. This study focuses on multi-focus image fusion, a crucial area in image processing. Due to the limited depth of field of optical lenses, it is often challenging to capture an image where all areas are in focus simultaneously. As a result, multi-focus image fusion plays a key role in integrating and extracting the necessary details from different focal regions.… More >

Yuting He, Zetao Jiang^*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5487-5508, 2025, DOI:10.32604/cmc.2025.065169 - 30 July 2025

Abstract Existing Transformer-based image captioning models typically rely on the self-attention mechanism to capture long-range dependencies, which effectively extracts and leverages the global correlation of image features. However, these models still face challenges in effectively capturing local associations. Moreover, since the encoder extracts global and local association features that focus on different semantic information, semantic noise may occur during the decoding stage. To address these issues, we propose the Local Relationship Enhanced Gated Transformer (LREGT). In the encoder part, we introduce the Local Relationship Enhanced Encoder (LREE), whose core component is the Local Relationship Enhanced Module… More >