Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

98 articles for “Dog”
Set a search alert
Research ArticleOpen accessIn the keywordsToll-Like Receptor (TLR) 2 and TLR4 Gene Expression in Canine HeartA. Linde, F. Blecha, T. MelgarejoToll-like receptors (TLRs) are archetypal pattern recognition receptors of immediate importance for an efficacious innate immune response. TLRs exhibit marked differential tissue activity and their levels within a discrete cell type can be highly dynamic. Of 13 known mammalian paralogues, three TLRs have been identified in the dog. Although cardiac TLR expression has been reported in other species, this study … …American Journal of Animal and Veterinary Sciences, Vol. 2, Issue 1 · 31 Mar 2007 · 6,921 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEpizootiology of Opisthorchiasis in Carnivores, Fish and Mollusks in the West Kazakhstan RegionRashid Karmaliyev, Farida Nurzhanova, Bekzhassar Sidikhov et al.Investigating the infestation of opisthorchiasis in domestic animals can help identify areas with high infection rates and develop targeted control measures to reduce transmission. The work aimed to study the opisthorchiasis infestation in domesticated carnivores (dogs and cats), fish of the Cyprinidae family, and mollusks to identify their infestation status. The study was carried out in the coastal villages of … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 2 · 7 Jul 2023 · 5,642 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAntimicrobial Resistance of Campylobacter spp. and Arcobacter butzleri from Pets in MalaysiaMohammed Dauda Goni, Abdinasir Yusuf Osman, Saleha Abdul Aziz et al.The emergence of antimicrobial resistance in pets is not well understood and methods of surveillance are only beginning to be established in a few countries. The consequence of antimicrobial resistant Campylobacter and Arcobacter butzleri to public health is due to the propensity of the bacteria to swiftly acquire and disseminate resistance gene. Thus, making way for the emergence of new … …American Journal of Animal and Veterinary Sciences, Vol. 13, Issue 4 · 29 Nov 2018 · 7,690 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBioanalytical Method Validation and Quantification of Flupirtine in Canine Plasma by HPLC with Spectrofluorimetric DetectionVirginia De Vito, Alessandro Saba, Helen Owen, Mario GiorgiFlupirtine (FLU) is a non-opioid analgesic drug belongs to the class of N-Methyl-D-Aspartate (NMDA) antagonist without antipyretic or antiphlogistic properties. No analytical method to detect FLU in canine plasma samples through a fluorimetric detector has been published to date. The analytical method described in this work provides a selective and accurate quantification of FLU. The mobile phase consisted of ACN:AcONH4 … …American Journal of Animal and Veterinary Sciences, Vol. 10, Issue 2 · 22 Jun 2015 · 7,982 accessesView PDFCite
Review ArticleOpen accessIn the keywordsLivestock Hydatid Disease (Cystic Hydatidosis) in Libya: A ReviewMohamed M. Ibrahem, Wafa M. Ibrahem, Mostafa M. Abdorrahem, Kawther M. IbrahemCystic hydatid disease is an infection caused by the larval stage of a cestode parasite called Echinococcus granulosus. Hydatid cysts are one of the major parasitic infections in Libya that causes many health problems to human and responsible for economic losses because of the condemnation of the slaughtered animals infected viscera as well as reducing the quality and quantity of … …American Journal of Animal and Veterinary Sciences, Vol. 11, Issue 2 · 31 May 2016 · 8,472 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the author namesIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based DecompositionApoorav Sharma, Shagun Sharma, Kalpna Guleria et al.The integration of optical lens technologies with night vision has become necessary due to the increasing demand to enhance public safety and surveillance, particularly in vulnerable areas, public transportation, and airports. Due to vision clarity issues or the lack of thermal information, conventional single-modality systems often fail to detect concealed dangers. This research presents a multimodal image fusion architecture that … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,899 accessesView PDFCite
Review ArticleOpen accessIn the author namesUnleashing the Power of Image Denoising: A Comprehensive Review of Classical to Deep Learning MethodsArchana Saini, Ayush DograImage denoising is a vital step in many image processing and computer vision professions that aims to improve picture quality by decreasing noise while maintaining important image information. In this article, a detailed overview is presented of traditional and deep learning based picture denoising approaches. Classical methods, such as linear filtering, transform domain techniques, and patch-based approaches like Non-Local Means … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 3,107 accessesView PDFCite