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  • Open Access

    ARTICLE

    Synergistic Regulation of Light Intensity and Calcium Nutrition in PFAL-Grown Lettuce by Optimizing Morphogenesis and Nutrient Homeostasis

    Jie Jin1, Tianci Wang1, Yaning Wang1, Jingqi Yao2, Jinxiu Song1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3611-3632, 2025, DOI:10.32604/phyton.2025.070680 - 01 December 2025

    Abstract In plant factory with artificial lighting, precise regulation of environmental and nutritional factors is essential to optimize both growth and quality of leafy vegetables. This study systematically evaluated the combined effects of light intensity (150, 200, 250 μmol/(m2·s)) and calcium supply in the nutrient solution (0.5, 1.0, 1.5 mmol/L) on lettuce morphology, photosynthesis, quality indices, and tipburn incidence. Elevating light from 150 to 200 μmol/(m2·s) significantly enhanced leaf number, area, photosynthetic rate, biomass, and foliar calcium. These gains plateaued at 250 μmol/(m2·s), where tipburn incidence surged to 76.5%. Photosynthetic pigments progressively rose with light intensity. Calcium supply… More >

  • Open Access

    ARTICLE

    Using Hate Speech Detection Techniques to Prevent Violence and Foster Community Safety

    Ayaz Hussain1, Asad Hayat2, Muhammad Hasnain1,*

    Journal on Artificial Intelligence, Vol.7, pp. 485-498, 2025, DOI:10.32604/jai.2025.071933 - 17 November 2025

    Abstract Violent hate speech and scapegoating people against one another have emerged as a rising worldwide issue. But identifying and combating such content is crucial to create safer and more inclusive societies. The current study conducted research using Machine Learning models to classify hate speech and overcome the limitations posed in the existing detection techniques. Logistic Regression (LR), Random Forest (RF), K-Nearest Neighbour (KNN) and Decision Tree were used on top of a publicly available hate speech dataset. The data was preprocessed by cleaning the text and tokenization and using normalization techniques to efficiently train the… More >

  • Open Access

    ARTICLE

    Spatio-Temporal Flood Inundation Dynamics and Land Use Transformation in the Jhelum River Basin Using Remote Sensing and Historical Hydrological Data

    Ihsan Qadir1, Usama Naeem2, Ahmed Nouman3, Aamir Raza4, Jun Wu1,*

    Revue Internationale de Géomatique, Vol.34, pp. 831-853, 2025, DOI:10.32604/rig.2025.069020 - 10 November 2025

    Abstract The Jhelum River Basin in Pakistan has experienced recurrent and severe flooding over the past several decades, leading to substantial economic losses, infrastructure damage, and socio-environmental disruptions. This study uses multi-temporal satellite remote sensing data with historical hydrological records to map the spatial and temporal dynamics of major flood events occurring between 1988 and 2019. By utilizing satellite imagery from Landsat 5, Landsat 8, and Sentinel-2, key flood events were analyzed through the application of water indices such as the Normalized Difference Water Index (NDWI) and the Modified NDWI (MNDWI) to delineate flood extents. Historical… More >

  • Open Access

    ARTICLE

    Associations of systemic immune-inflammation index, product of platelet, and neutrophil count, with the pathological grade of bladder cancer

    Lihao Zhang1,2, Lin Cao1,2, Lige Huang1,2, Jie Wang1,2, Jiabing Li2,3,*

    Canadian Journal of Urology, Vol.32, No.5, pp. 457-468, 2025, DOI:10.32604/cju.2025.067364 - 30 October 2025

    Abstract Background: Studies have indicated an association between inflammatory factors (IFs) in the blood and the development of bladder cancer (BC). This study aimed to explore the correlation and clinical significance of IFs with the pathological grading of BC. Methods: A retrospective analysis was conducted on the preoperative blood routine results, postoperative pathological findings, and baseline information of 163 patients. Patients were divided into high-grade and low-grade groups based on pathological grading. Group comparisons and logistic regression analyses were performed using R software version 4.1.3 to explore the relationships between IFs and BC pathological grading. Results: The… More >

  • Open Access

    ARTICLE

    Comprehensive Study of the Effect of Ribs and Cavities on Thermal-Hydraulic Performance of Mini-Channel Heat Sinks

    Shuaimei Lian, Pingping Liu, Wenling Liao*

    Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1395-1415, 2025, DOI:10.32604/fhmt.2025.069454 - 31 October 2025

    Abstract In this work, numerical simulations are performed to investigate the influence of combining ribs and triangular cavities on the thermal-hydraulic performance (THP) of MCHS at fluid velocities ranging from 1 to 4 m/s (corresponding to Reynolds numbers (Re) of 129.75 to 519). Specifically, the ribs are positioned on the bottom wall, and the rib width is equal to the mini-channel width, while the triangular cavities are arranged on the two side walls of the MCHS. By analyzing and comparing key parameters such as velocity distribution, streamline patterns, pressure drop, skin friction coefficient (Cf), Nusselt number (Nu), friction… More >

  • Open Access

    REVIEW

    Research Advances in the Application of Non-Nickel-Based Perovskite Materials for Biogas Reforming

    Hao Tan1,2, Zeai Huang1,2,*, Runxian Gong2, Junming Mei2, Kejie Wu2, Tianyu Yan2, Daoquan Zhu2, Zhibin Zhang2, Ruiyang Zhang1,2

    Energy Engineering, Vol.122, No.11, pp. 4331-4347, 2025, DOI:10.32604/ee.2025.070226 - 27 October 2025

    Abstract Under the driving goal of carbon neutrality, biogas reforming technology has garnered significant attention due to its ability to convert greenhouse gases (CH4/CO2) into syngas (H2/CO). Conventional nickel-based catalysts suffer from issues such as carbon deposition, sintering and sulfur poisoning. Non-nickel-based perovskite materials, with their tunable crystal structure, dynamic oxygen vacancy characteristics, and excellent anti-coking/anti-sulfur performance, have emerged as a promising alternative. This review systematically summarizes the design for non-nickel-based perovskite materials, including optimizing lattice oxygen migration ability and active site stability by A/B site doping, defect engineering and heterojunction construction. The enhancing the conversion rate… More > Graphic Abstract

    Research Advances in the Application of Non-Nickel-Based Perovskite Materials for Biogas Reforming

  • Open Access

    ARTICLE

    Efficacy of Wee1 G2 Checkpoint Kinase and Mouse Double Minute 2 Homolog Inhibitors in Gastrointestinal Stromal Tumors Determined by p53 Status

    Chiao-Ping Chen1,2, Yan-Jei Tang1,2, You-Yan Cai1, Yi-Ru Pan3, Chun-Nan Yeh3,4, Wen-Kuan Huang1,2, Chih-Hong Lo1,2, Yu-Tien Hsiao1,2, Hsuan-Jen Shih1,*, Chiao-En Wu1,2,4,5,*

    Oncology Research, Vol.33, No.11, pp. 3429-3446, 2025, DOI:10.32604/or.2025.066672 - 22 October 2025

    Abstract Background: KIT proto-oncogene, receptor tyrosine kinase (KIT, CD117) and platelet-derived growth factor-alpha (PDGFRA) are key drivers of gastrointestinal stromal tumors (GIST), but resistance to targeted therapy often arises from tumor protein p53 (p53) alterations and loss of cell cycle control. However, the role of p53 status in GIST therapeutic potential has rarely been studied, so this study aimed to employ both wild-type and mutant p53 GIST models to investigate how p53 dysfunction influences the efficacy of p53 pathway-targeted therapies. Methods: The efficacy of the mouse double minute 2 homolog (MDM2) inhibitor (HDM201) and the Wee1… More >

  • Open Access

    ARTICLE

    Integration of Frequency Ratio-Analytical Hierarchical Process (FR-AHP) in GIS for Measuring Campus Spatial Accessibility Index

    Nur Sabrina Jamal, Nabilah Naharudin*

    Revue Internationale de Géomatique, Vol.34, pp. 751-776, 2025, DOI:10.32604/rig.2025.071091 - 17 October 2025

    Abstract Multicriteria Decision Analysis (MCDA) has been integrated with GIS modelling by many studies to aid the decision-making process. This integration enhances modelling by incorporating spatial relationships and using advanced techniques, including the combination of Frequency Ratio (FR) and Analytical Hierarchical Process (AHP), also known as FR-AHP. Although methods like Two-Steps Floating Catchment Area (2SFCA), AHP, and FR are widely applied in measuring accessibility, they have limitations in terms of threshold sensitivity and subjectivity. Hence, this study used FR-AHP, which combines the data-driven strength of FR and the structured decision-making technique of AHP to provide a… More >

  • Open Access

    ARTICLE

    An Intelligent Zero Trust Architecture Model for Mitigating Authentication Threats and Vulnerabilities in Cloud-Based Services

    Victor Otieno Mony*, Anselemo Peters Ikoha, Roselida O. Maroko

    Journal of Cyber Security, Vol.7, pp. 395-415, 2025, DOI:10.32604/jcs.2025.070952 - 30 September 2025

    Abstract The widespread adoption of Cloud-Based Services has significantly increased the surface area for cyber threats, particularly targeting authentication mechanisms, which remain among the most vulnerable components of cloud security. This study aimed to address these challenges by developing and evaluating an Intelligent Zero Trust Architecture model tailored to mitigate authentication-related threats in Cloud-Based Services environments. Data was sourced from public repositories, including Kaggle and the National Institute for Standards and Technology MITRE Corporation’s Adversarial Tactics, Techniques, & Common Knowledge (ATT&CK) framework. The study utilized two trust signals: Behavioral targeting system users and Contextual targeting system… More >

  • Open Access

    ARTICLE

    AI-Driven GIS Modeling of Future Flood Risk and Susceptibility for Typhoon Krathon under Climate Change

    Chih-Yu Liu1,2, Cheng-Yu Ku1,2,*, Ming-Han Tsai1, Jia-Yi You3

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 2969-2990, 2025, DOI:10.32604/cmes.2025.070663 - 30 September 2025

    Abstract Amid growing typhoon risks driven by climate change with projected shifts in precipitation intensity and temperature patterns, Taiwan faces increasing challenges in flood risk. In response, this study proposes a geographic information system (GIS)-based artificial intelligence (AI) model to assess flood susceptibility in Keelung City, integrating geospatial and hydrometeorological data collected during Typhoon Krathon (2024). The model employs the random forest (RF) algorithm, using seven environmental variables excluding average elevation, slope, topographic wetness index (TWI), frequency of cumulative rainfall threshold exceedance, normalized difference vegetation index (NDVI), flow accumulation, and drainage density, with the number of… More >

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