4 results for “SMF”

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Research ArticleOpen accessIn the keywordsA Static Magnetic Field Exposure in Obese Mice Induced by High Fat Diet: Its Effect on T-Box15 Gene and Uncoupling Protein 1 ExpressionWidia Bela Oktaviani, Puji Sari, Luluk Yunaini et al.Increased Ca2+ cytosolic concentration caused by Static Magnetic Field (SMF) exposure modulates Tbx15 protein and Ucp1 gene interaction that is involved in the thermogenesis browning process of white adipose tissue. Activation of Tbx15 as a transcription factor that regulates the expression of the Uncoupling protein 1 (Ucp1) gene induced by SMF exposure in adipose tissue converts excess accumulated fat into … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 23 Jan 2024 · 4,521 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsNovel Preprocessing Technique in the Computer Aided Detection of Breast CancerSenthilkumar Balasubramaniam, Umamaheswari GovindaswamyAnalyzing medical images is the most challenging task in medical image processing. Computer Aided Detection (CAD) tool is the aid for the radiologists in analyzing such images for the effective detection and diagnosis of the disease. Such a CAD tool consists of Preprocessing, Segmentation and detection processes. In this study we have improved the preprocessing by using the Selective Median … …Journal of Computer Science, Vol. 8, Issue 12 · 8 Nov 2012 · 6,650 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDistribution of Biomicrofacies and Cement Types in the Changxing Formation (Upper Permian), Western Hubei-eastern Sichuan Provinces, South ChinaMutwakil Nafi, Xia WenchenThe Changxing formation is subdivided into lower, middle and upper parts. Four types of microfacies were recognized in the Changxing formation. They include SMF-3, SMF-6, SMF-7 and SMF-19. The Changxing Formation is composed of deep basin margin, platform margin and open restricted platform environments. The lower, middle and upper parts are dominated by deep basin margin facies, platform margin facies … …American Journal of Applied Sciences, Vol. 2, Issue 1 · 31 Jan 2005 · 7,000 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImprovement of the Simplified Fast Transversal Filter Type Algorithm for Adaptive FilteringMadjid Arezki, Ahmed Benallal, Daoud BerkaniProblem statement: In this study, we proposed a new algorithm M-SMFTF for adaptive filtering with fast convergence and low complexity. Approach: It was the result of a simplified FTF type algorithm, where the adaptation gain was obtained only from the forward prediction variables and using a new recursive method to compute the likelihood variable. Results: The computational complexity was reduced … …Journal of Computer Science, Vol. 5, Issue 5 · 31 May 2009 · 7,700 accessesView PDF Cite