Mintao Xu^1,#, Zichao Jin^1,#, Yangyang Tian¹, Jingcheng Zhang^1,*, Huiqin Ma¹, Yujin Jing¹, Jiangxing Wu², Jing Zhai²

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 4059-4078, 2025, DOI:10.32604/phyton.2025.074422 - 29 December 2025

Abstract The frequent outbreaks of crop diseases pose a serious threat to global agricultural production and food security. Data-driven forecasting models have emerged as an effective approach to support early warning and management, yet the lack of user-friendly tools for model development remains a major bottleneck. This study presents the Multi-Scenario Crop Disease Forecasting Modeling System (MSDFS), an open-source platform that enables end-to-end model construction-from multi-source data ingestion and feature engineering to training, evaluation, and deployment-across four representative scenarios: static point-based, static grid-based, dynamic point-based, and dynamic grid-based. Unlike conventional frameworks, MSDFS emphasizes modeling flexibility, allowing… More >

Virna Margarita Martín Giménez¹, SebastiáN GarcíA MenéNdez^2,3, Luiz Gustavo A. Chuffa⁴, Vinicius Augusto SimãO⁴, Russel J. Reiter⁵, Ramaswamy Sharma⁶, Walter Balduini⁷, Carla Gentile⁸, Walter Manucha^2,3,*

BIOCELL, Vol.49, No.12, pp. 2245-2282, 2025, DOI:10.32604/biocell.2025.071830 - 24 December 2025

Abstract Neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS) are characterized by progressive neuronal loss, which is closely linked to mitochondrial dysfunction. These pathologies involve a complex interplay of genetics, protein misfolding, and cellular stress, culminating in impaired energy metabolism, an increase in reactive oxygen species (ROS), and defective mitochondrial quality control. The accumulation of damaged mitochondria and dysregulation of pathways such as the Integrated Stress Response (ISR) are central to the pathogenesis of these conditions. This review explores the critical relationship between mitochondrial stress… More >

Zhe He¹, Yaning Zhang^2,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1747-1768, 2025, DOI:10.32604/ijmhp.2025.070491 - 28 November 2025

Abstract Background: Depression represents a significant global mental health burden, particularly among middle-aged and older Chinese with chronic diseases in high-altitude regions, where harsh environmental conditions and limited social support exacerbate mental health disparities. This paper aims to develop an interpretable machine learning prediction framework to identify the key factors of depression in this vulnerable population, thereby proposing targeted intervention measures. Methods: Utilizing data from the China Health and Retirement Longitudinal Study in 2020, this paper screened out and analyzed 2431 samples. Subsequently, Recursive Feature Elimination and Least Absolute Shrinkage and Selection Operator were applied to screen… More >

CHIOMA C. EZEUKO^#, SANDANI V. T. WIJERATHNE^#, QIANA L. MATTHEWS^*

BIOCELL, Vol.49, No.9, pp. 1605-1629, 2025, DOI:10.32604/biocell.2025.065474 - 25 September 2025

Abstract Extracellular vesicles (EVs) have arisen as potential therapeutic tools in managing infectious diseases because EVs can regulate cell-to-cell signaling, function as drug transport mechanisms, and influence immune reactions. They are obtained from a myriad of sources, such as plants, humans, and animal cells. EVs like exosomes and ectosomes can be utilized in their native form as therapeutics or engineered to encompass antimicrobials, vaccines, and oligonucleotides of interest with a targeted delivery strategy. An in-depth understanding of host-pathogen dynamics provides a solid foundation for exploiting its full potential in therapeutics against infectious diseases. This review mainly More >

Yifan Li^1,#, Xu Huang^2,#, Bingyu Ma³, Ling Sun¹, Shushui Wang¹, Zhiwei Zhang¹, Yumei Xie^1,*

Congenital Heart Disease, Vol.20, No.4, pp. 463-475, 2025, DOI:10.32604/chd.2025.068286 - 18 September 2025

Abstract Objective: The aim of the present study was to investigate long-term efficacy and safety of percutaneous stent implantation for residual pulmonary artery stenosis (PAS) in pediatric patients after surgical repair of complicated congenital heart diseases (CHDs). Methods: All pediatric patients diagnosed with residual PAS after surgical repair of complicated CHDs between 1996 and 2020 were retrospectively enrolled in the study. Results: A total of 41 patients (30 males, 11 females; median age 5.0 years, median weight 17 kg) were followed-up for a median of 7.1 years. Follow-up echocardiography results demonstrated that the target vessel diameter increased from… More >

Geoffry Mutiso^*, John Ndia

Journal on Artificial Intelligence, Vol.7, pp. 275-288, 2025, DOI:10.32604/jai.2025.069768 - 05 September 2025

Abstract Tomato leaf diseases significantly reduce crop yield; therefore, early and accurate disease detection is required. Traditional detection methods are laborious and error-prone, particularly in large-scale farms, whereas existing hybrid deep learning models often face computational inefficiencies and poor generalization over diverse environmental and disease conditions. This study presents a unified U-Net-Vision Mamba Model with Hierarchical Bottleneck Attention Mechanism (U-net-Vim-HBAM), which integrates U-Net’s high-resolution segmentation, Vision Mamba’s efficient contextual processing, and a Hierarchical Bottleneck Attention Mechanism to address the challenges of disease detection accuracy, computational complexity, and efficiency in existing models. The model was trained on More >

Sami Alrabie^#,*, Ahmed Barnawi^#

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2481-2519, 2025, DOI:10.32604/cmes.2025.067977 - 31 August 2025

Abstract In the effort to enhance cardiovascular diagnostics, deep learning-based heart sound classification presents a promising solution. This research introduces a novel preprocessing method: iterative k-means clustering combined with silhouette score analysis, aimed at downsampling. This approach ensures optimal cluster formation and improves data quality for deep learning models. The process involves applying k-means clustering to the dataset, calculating the average silhouette score for each cluster, and selecting the cluster with the highest score. We evaluated this method using 10-fold cross-validation across various transfer learning models from different families and architectures. The evaluation was conducted on… More >

Carmen Rubio^1,#, Norma Serrano-GarcíA^1,#, Elisa Taddei¹, Eduardo CastañEda², HéCtor Romo^1,3, MoiséS Rubio-Osornio^4,*

BIOCELL, Vol.49, No.8, pp. 1391-1412, 2025, DOI:10.32604/biocell.2025.066320 - 29 August 2025

Abstract Rotenone is a lipophilic herbicide extensively utilized in experimental neurodegenerative models because of its capacity to disrupt complex I of the mitochondrial electron transport chain. This inhibition results in reduced ATP synthesis, elevated reactive oxygen species (ROS) formation, and mitochondrial malfunction, which instigates oxidative stress and cellular damage, critical elements in neurodegenerative disorders like Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), and Alzheimer’s disease (AD). In addition to causing direct neuronal injury, rotenone significantly contributes to the activation of glial cells, specifically microglia and astrocytes. Activated microglia assumes a proinflammatory (M1) phenotype, distinguished by the… More >

Mai Ishiwata^1,2, Kohei Ishibashi^1,*, Yoshiaki Kato³, Heima Sakaguchi³, Toshihiro Nakamura¹, Satoshi Oka¹, Yuichiro Miyazaki¹, Akinori Wakamiya¹, Nobuhiko Ueda¹, Kenzaburo Nakajima¹, Tsukasa Kamakura¹, Mitsuru Wada¹, Yuko Inoue¹, Koji Miyamoto¹, Takeshi Aiba¹, Norihiko Takeda², Kengo Kusano¹

Congenital Heart Disease, Vol.20, No.3, pp. 273-286, 2025, DOI:10.32604/chd.2025.067716 - 11 July 2025

Abstract Background: Ventricular arrhythmia is a common cause of mortality in adult congenital heart disease (ACHD). The beneficial effects of implantable cardioverter-defibrillators (ICD) in patients with ACHD have been demonstrated; however, evidence on this topic remains insufficient. This study aimed to assess the long-term outcomes after ICD implantation in the ACHD population. Methods: We retrospectively reviewed 35 consecutive patients with ACHD who underwent ICD implantation between December 2012 and August 2022. ICD implantation was classified as primary or secondary prevention. The long-term outcomes, including all-cause mortality, appropriate and inappropriate ICD therapy, and complications related to ICD implantation, were… More > Graphic Abstract

Shivani Sood¹, Harjeet Singh^2,*, Surbhi Bhatia Khan^3,4,5,*, Ahlam Almusharraf⁶

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2751-2787, 2025, DOI:10.32604/cmc.2025.060185 - 03 July 2025

Abstract Wheat fungal infections pose a danger to the grain quality and crop productivity. Thus, prompt and precise diagnosis is essential for efficient crop management. This study used the WFD2020 image dataset, which is available to everyone, to look into how deep learning models could be used to find powdery mildew, leaf rust, and yellow rust, which are three common fungal diseases in Punjab, India. We changed a few hyperparameters to test TensorFlow-based models, such as SSD and Faster R-CNN with ResNet50, ResNet101, and ResNet152 as backbones. Faster R-CNN with ResNet50 achieved a mean average precision More >