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  • Open Access

    ARTICLE

    Investigation on Chemical Constituents from Prunus cerasifera Ehrh. Fruits and Evaluation of Their Anti-Inflammatory Activity

    Haofan Lv1, Qihang Zhang1, Yufan He1, Wuwei Xin2, Wei Liu1,*, Chunpeng Wan1,3,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.076015 - 28 April 2026

    Abstract The fruits of Prunus cerasifera Ehrh. have been traditionally utilized as both medicinal and edible resource, however, their specific phytochemical profile and anti-inflammatory mechanisms remain to be fully elucidated. This study aimed to isolate and identify the chemical constituents from the fruits and evaluate their anti-inflammatory activities. The separation was performed using a combination of chromatographic techniques. The structures of the obtained compounds were elucidated using a combination of 1H and 13C nuclear magnetic resonance (NMR) and electrospray ionization mass spectrometry (ESI-MS). The anti-inflammatory activity of the compounds was initially investigated based on their capacity to inhibit… More >

  • Open Access

    ARTICLE

    Multidimensional perfectionism and procrastination: The mediating role of impostor phenomenon

    Xiaoguang Wang1,*, Feier Deng1, Yuting Zheng1, Yun Wang2,*

    Journal of Psychology in Africa, Vol.36, No.2, pp. 267-275, 2026, DOI:10.32604/jpa.2026.072076 - 29 April 2026

    Abstract This study examined the mediating role of impostor phenomenon (IP) in the relationship between multidimensional perfectionism and procrastination. A cross-sectional survey of 393 Chinese university students (72.5% women; mean age 19.27 ± 1.26 years) completed standardized measures: the Frost Multidimensional Perfectionism Scale (FMPS), Clance Impostor Phenomenon Scale (CIPS), and Pure Procrastination Scale (PPS). Key findings following PROCESS mediation model testing revealed that adaptive perfectionism was associated with higher IP. Maladaptive perfectionism was associated with both higher IP and higher procrastination levels. IP acted as a significant suppressing mediator in the association between adaptive perfectionism and procrastination. While adaptive More >

  • Open Access

    ARTICLE

    Hybrid Laplacian-DoG: Noise-Preserving 3D FDG-PET Contrast Enhancement for Improved MCI Detection

    Ovidijus Grigas*, Rytis Maskeliūnas

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.077324 - 27 April 2026

    Abstract Early detection of Mild Cognitive Impairment (MCI) with FDG-PET is essential for timely Alzheimer’s disease intervention. However, PET image quality is limited by low spatial resolution, partial volume effects, and Poisson noise. Standard enhancement methods, such as Bilateral filtering or Contrast Limited Adaptive Histogram Equalization (CLAHE), can increase contrast but often introduce heavy noise or distort image texture, while deep learning methods may produce hallucinated structures. We propose a fully data-adaptive, non-learned 3D enhancement framework whose output is deterministic for a given input volume, that combines Laplacian-based local contrast modulation with a gradient-gated Difference-of-Gaussians (DoG)… More >

  • Open Access

    ARTICLE

    Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Multi-Dataset Validation, Statistical Analysis, and Comparative Benchmarking

    K. Mithra1,*, Prem Kumar Santhanam2

    Journal of Intelligent Medicine and Healthcare, Vol.4, pp. 87-97, 2026, DOI:10.32604/jimh.2026.080288 - 24 April 2026

    Abstract Background: Retinal fundus imaging is central to early diagnosis of sight-threatening conditions, including diabetic retinopathy, glaucoma, and retinal vein occlusion. Clinical utility is compromised by non-uniform illumination, motion blur, and low contrast—artefacts that reduce diagnostic accuracy. Effective image enhancement is a prerequisite for reliable computer-aided ophthalmic diagnosis. Methods: This paper proposes a two-stage enhancement pipeline combining luminosity correction via HSV colour space decomposition with Contrast Limited Adaptive Histogram Equalization (CLAHE) on the Value (V) channel. Validation is conducted on three publicly available benchmarks: DRIVE (40 images), STARE (20 images), and CHASEDB1 (28 images). Quantitative metrics… More >

  • Open Access

    ARTICLE

    Data Mining for Identification of Targets and Repurposed Drugs to Eliminate Persistent Chronic Myeloid Leukaemia Stem Cells: Targeting RAS/RAF Signalling

    I Made Bayu Anggriawan1,2,3,*, Heather G. Jørgensen4,*

    Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074734 - 22 April 2026

    Abstract Background: Persistent leukaemic stem cells (LSCs) in chronic myeloid leukaemia (CML) are insensitive to targeted tyrosine kinase inhibitors (TKIs). Identifying alternative molecular vulnerabilities may offer new therapeutic opportunities. This study aimed to identify active RAS/RAF signalling pathway components in persistent CML-LSCs using publicly available datasets to propose a novel drug combination that could synergise with TKI therapy. Methods: EMBL-EBI Single Cell Expression Atlas and Stemformatics were used to analyse gene expression within the chosen signalling pathway using DESeq2 analysis in R Studio. Genes that showed statistically significant differences across three comparisons (CML vs. normal; post… More >

  • Open Access

    ARTICLE

    MCCGAA: Multimodal Channel Compression Graph Attention Alignment Network for ECG Zero-Shot Classification

    Qiuxiao Mou, Haoyu Gui, Xianghong Tang*, Jianguang Lu

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076251 - 09 April 2026

    Abstract Electrocardiogram (ECG) is a widely used non-invasive tool for diagnosing cardiovascular diseases. ECG zero-shot classification involves pre-training a model on a large dataset to classify unknown disease categories. However, existing ECG feature extraction networks often neglect key lead signals and spatial topology dependencies during cross-modal alignment. To address these issues, we propose a multimodal channel compression graph attention alignment network (MCCGAA). MCCGAA incorporates a channel attention module (CAM) to effectively integrate key lead features and a graph attention-based alignment network to capture spatial dependencies, enhancing cross-modal alignment. Additionally, MCCGAA employs a log-sum-exp loss function, improving More >

  • Open Access

    ARTICLE

    Multifunctional CEOS-DOPO-PDMS Modified Epoxy NP-GLIDE Coatings with Improved Combustion Behavior, Hydrophobicity, and Abrasion Resistance

    Guoguan Wu1,2, Baipei Liu1,3, Dawei Jiang1,2,*, Haorui Yu1, Jiayu Fu1,2, Chengze Yu1, Hanbin Wang1, Miaojun Xu1,2,*, Zijian Wu4, Bin Li1,2,*

    Journal of Polymer Materials, Vol.43, No.1, 2026, DOI:10.32604/jpm.2026.075384 - 03 April 2026

    Abstract Epoxy resins are extensively employed in the construction, electronics, automotive, and aerospace industries owing to their outstanding mechanical strength, chemical resistance, and electrical insulation. However, their intrinsic flammability, poor wear resistance, and hydrophilicity significantly restrict broader applications. To address these challenges, a novel multifunctional coating (CEOS-DOPO-PDMS) has been designed and fabricated via an NP-GLIDE approach. The system integrates 9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide (DOPO) as a reactive phosphorus-based flame retardant, epoxy-terminated polydimethylsiloxane (EP-PDMS) as a hydrophobic segment, and cycloaliphatic epoxy-functionalized oligosiloxanes (CEOS) as a cross-linking co-reactant. The resulting CEOS-DOPO-PDMS hybrid precursor was blended with bisphenol A diglycidyl ether (DGEBA)… More > Graphic Abstract

    Multifunctional CEOS-DOPO-PDMS Modified Epoxy NP-GLIDE Coatings with Improved Combustion Behavior, Hydrophobicity, and Abrasion Resistance

  • Open Access

    ARTICLE

    FeS2 Film Properties and FeS2/Co-doped SnS2 Heterojunction for Photovoltaics Applications

    Naoual Houaidji1, Kenza Kamli2,*, Zakaria Hadef2, Houssem Eddine Chouial3, Marwa Bendaia1

    Chalcogenide Letters, Vol.23, No.3, 2026, DOI:10.32604/cl.2026.076383 - 03 April 2026

    Abstract We present a systematic investigation of FeS2 thin films deposited by ultrasonic spray pyrolysis (USP) at different deposition times (15–40 min), with the aim of understanding their structural, optical, and electrical evolution and their suitability for heterojunction device applications. Particular attention is given to the integration of the optimized FeS2 layer with a Co-doped SnS2 bottom layer to form a p–n heterojunction. Structural analysis by X-ray diffraction reveals a transition from an amorphous/oxidized phase at short deposition times toward well-crystallized pyrite after 25 min, while the 40-min film exhibits the most intense reflections and the largest crystallite… More >

  • Open Access

    ARTICLE

    Numerical Determination of Weak Adhesive Bonds Using Ultrasonic Guided Waves

    Egidijus Žukauskas1,*, Damira Smagulova1, Elena Jasiūnienė1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.077492 - 30 March 2026

    Abstract Adhesively bonded joints are widely used in modern lightweight structures due to their high strength-to-weight ratio and design flexibility. However, the reliable non-destructive evaluation of bond integrity remains a significant challenge. This study presents a numerical investigation of adhesively bonded joints with different adhesive properties using ultrasonic guided waves. The main focus of the investigation is to evaluate the feasibility of using guided waves to assess bond integrity, particularly for detecting challenging weak bonds. For this purpose, a theoretical analysis of dispersion curves was conducted, revealing that the S0 Lamb wave mode is significantly sensitive… More >

  • Open Access

    REVIEW

    A Comprehensive Review and Algorithmic Analysis of Histogram-Based Contrast Enhancement Techniques for Medical Imaging

    Saira Ali Bhatti1, Maqbool Khan2,*, Arshad Ahmad3, Muhammad Shahid Anwar4, Leila Jamel5, Aisha M. Mashraqi6, Wadee Alhalabi7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.074688 - 30 March 2026

    Abstract Medical imaging is essential in modern health care, allowing accurate diagnosis and effective treatment planning. These images, however, often demonstrate low contrast, noise, and brightness distortion that reduce their diagnostic reliability. This review presents a structured and comprehensive analysis of advanced histogram equalization (HE)-based techniques for medical image enhancement. Our review methodology encompasses: (1) classical HE approaches and related limitations in medical domains; (2) adaptive schemes like Adaptive Histogram Equalization (AHE) and Contrast Limited Adaptive Histogrma Equalization (CLAHE) and their advance variants; (3) brightness-preserving schemes like BBHE and MMBEBHE and related algorithms; (4) dynamic and More > Graphic Abstract

    A Comprehensive Review and Algorithmic Analysis of Histogram-Based Contrast Enhancement Techniques for Medical Imaging

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