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170 articles for “3D DIC”
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Research ArticleOpen accessIn the author namesMolecular Characterization of a Phytoplasma Associated with Coconut Yellow Decline (CYD) in MalaysiaN. Nejat, K. Sijam, S. N.A. Abdullah et al.Problem statement: Molecular methods have been used to detect phytoplasma in Malayan Red Dwarf (MRD) ecotype of coconut for the first time in Malaysia. Detect phytoplasma from coconut showing yellowing symptoms by nested PCR and Classify phytoplasma associated with disease of coconut palms, based on analysis of 16S rRNA gene operon sequences and virtual RFLP. Approach: Twenty MRD symptomatic palms … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,919 accessesView PDFCite
Research ArticleOpen accessIn the author namestNOX (ENOX2) Target for Chemosensitization-Low-Dose Responses in the Hormetic Concentration RangeD. James Morre, Sara Dick, Elena Bosneaga et al.An emerging concept of cancer chemotherapy is that of chemosensitization. Most often applied to the treatment of drug-resistance cancers, chemosensitization has utility when such cancers are rendered drug sensitive through treatment with the sensitizing agent. A particularly striking example of chemosensitization is that encountered with the synthetic isoflavene phenoxodiol where patients with taxane- and/or platinum-resistant ovarian carcinoma once again become … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 1 · 31 Mar 2008 · 7,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified U-Net With VGG11-BN Encoder and Frost Filter Based Pre-Processing for Copy Move Forgery LocalizationAshutosh Pandey, Niranjan Lal, Ashish Kumar ChakravertiCopy-move forgery is a widely used forgery method in digital image forensics, which involves copying and pasting a part of an image into another part of the image to hide or duplicate the visual information. This makes it difficult to detect such manipulations, particularly when the regions are subjected to geometric and photometric transformations. A Frost Filter-Enhanced Encoder-Decoder U-Net is … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 457 accessesView PDFCite
Literature ReviewOpen accessIn the abstractMolecular Genetic Basis of Starch Biosynthesis and Waxy Allelic Variation in Rice Grain QualityInnabat Sartbayeva, Aigul Amirova, Dana Mynbaeva et al.The culinary, nutritional, and industrial properties of rice (Oryza sativa L.) grains are fundamentally governed by the structural arrangement of endosperm starch, a complex physiological phenotype shaped by genetic architecture and environmental conditions. This review provides a comprehensive synthesis of the molecular pathways driving starch biosynthesis in rice, centering on allelic diversity within the Waxy (Wx) locus, which codes for … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 22 Sep 2026 · 479 accessesView PDFCite
Research ArticleOpen accessIn the abstractUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractLess Biased Approach for Sandstone Pore SegmentationDaffa Abiyyu Murtadha Kurnia, Iman Herwidiana KartowisastroReservoir characterization is a fundamental process in estimating reserves within petroleum and hydrogeological systems, where the precise determination of pore space dictates the validity of fluid flow models. Although X-Ray Computerized Tomography (XRCT) has become the standard non-destructive evaluation method for visualizing the internal structure of rocks, the data interpretation process still faces challenges during the image segmentation stage. Conventional … …Journal of Computer Science, Vol. 22, Issue 6 · 15 Jun 2026 · 1,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiomorphological Indicators of Rainbow Trout (Oncorhynchus mykiss) Fry: Comparative Analysis in the Conditions of the Lower Kolsay and Fish FarmsBarakov Rinat Tairovich, Abilov Berdibek Ibragimovich, Assylbekova Saule Zhangirovna et al.Rainbow trout (Oncorhynchus mykiss Walbaum, 1792) is one of the key species in aquaculture of the salmon family due to its high commercial value and the availability of farming technology. This paper presents data on the morphometric characteristics of rainbow trout fry grown in three types of farms in Kazakhstan and wild forms from Lake Lower Kolsay. The comparison was … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 1 Apr 2026 · 1,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancing Stroke Lesion Segmentation With U-Net Variants: Classical, Transfer Learning, and MRI Sequence-Specific Customized ApproachesSonia Flora Panesar, Amit P. GanatraIschemic stroke, caused by restricted cerebral blood flow, is a leading cause of death and disability worldwide. Accurate segmentation of stroke lesions in MRI is essential for timely diagnosis but remains labor-intensive when done manually. This study presents a comparative evaluation of three U-Net variants for automated ischemic stroke lesion segmentation using the ISLES 2022 dataset: (1) Classical U-Net with … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite