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ON RARE (λX MX)* - SETS AND RARE (λX MX)*- CONTINUITY IN GTMS - SPACES
D. Sasikala
Journal of Global Research in Mathematical Archives , 2013,
Abstract: Popa [10] introduced the useful concept of rare continuity. The purpose of this paper is to highlight the notions of rare sets and dense sets in Generalized Topology and minimal structure space. Further, we study their properties using the closure and interior operators. We apply this notion of sets to define a new class of rarely (λX mX )* - continuous functions and investigate their characterizations.
Registration of Brain Images using Fast Walsh Hadamard Transform
D. Sasikala,R. Neelaveni
Computer Science , 2010, DOI: 10.5120/1745-2053
Abstract: A lot of image registration techniques have been developed with great significance for data analysis in medicine, astrophotography, satellite imaging and few other areas. This work proposes a method for medical image registration using Fast Walsh Hadamard transform. This algorithm registers images of the same or different modalities. Each image bit is lengthened in terms of Fast Walsh Hadamard basis functions. Each basis function is a notion of determining various aspects of local structure, e.g., horizontal edge, corner, etc. These coefficients are normalized and used as numerals in a chosen number system which allows one to form a unique number for each type of local structure. The experimental results show that Fast Walsh Hadamard transform accomplished better results than the conventional Walsh transform in the time domain. Also Fast Walsh Hadamard transform is more reliable in medical image registration consuming less time.
Correlation Coefficient Measure of Mono and Multimodal Brain Image Registration using Fast Walsh Hadamard Transform
D. Sasikala,R. Neelaveni
- , 2011, DOI: 10.7763/IJET.2011.V3.215
Abstract: Abstract—A bundle of image registration procedures have been built up with enormous implication for data analysis in medicine, astrophotography, satellite imaging and little other areas. An approach to the problem of mono and multimodality medical image registration is proposed, with a fundamental concept Correlation Coefficient, as a matching measure. It measures the statistical dependence or information redundancy between the image intensities of corresponding voxels in both images. Maximization of CC is a very broad and dominant norm. As no assumptions are made regarding the nature of this dependence and no limiting constraints are imposed on the image content of the modalities involved. The accuracy of the CC criterion is validated for rigid body registration of computed tomography (CT), and magnetic resonance (MR T1 and T2) images by comparison with the registration solution. Experimental results prove that subvoxel accuracy with the reference solution can be achieved completely automatically without any preprocessing steps that make this process ensemble for medical applications.
REGISTRATION OF BRAIN IMAGES USING MODIFIED ADAPTIVE POLAR TRANSFORM
D.Sasikala,,R.Neelaveni
International Journal of Engineering Science and Technology , 2010,
Abstract: Image registration has great significance in medicine, with a lot of techniques anticipated in it. This paper discusses an approach for medical image registration. It registers images of the mono or multi modalities for CT or MRI images using Modified Adaptive Polar Transform. The performance of the Adaptive Polar Transform with theproposed technique is examined. The results prove that the proposed method performs better than Adaptive Polar Transform technique. The proposed method reduces the errors and also the elapsed time for registration. An analysis is presented for the medical image registration of brain images using Adaptive Polar Transform and Modified Adaptive Polar Transform.
Differentiation of Pancreatic Ductal Epithelial Cells into Insulin Like Cell Clusters in Chronic Pancreatitis  [PDF]
Pondugala Pavan Kumar, Gaddipati Radhika, G. Venkat Rao, D. Nageshwar Reddy, M. Sasikala
Open Journal of Endocrine and Metabolic Diseases (OJEMD) , 2015, DOI: 10.4236/ojemd.2015.512022
Abstract: Background/Aim: Islet regeneration in chronic pancreatitis (CP) is relevant for managing the associated loss of endocrine function. Because ductal epithelial cells were earlier demonstrated to differentiate into pancreatic endocrine mass, we evaluated their proliferation and differentiation in chronic pancreatitis. Methods: Pancreatic ducts were obtained from surgically resected pancreata of 12 patients with chronic pancreatitis and 15 control subjects. CK19 positive ductal cells were evaluated for their proliferating and differentiating abilities upon immunostaining with Ki 67 and hormone positivity for insulin and glucagon, apart from monitoring Pdx 1 expression. Results: In comparison to the controls, a greater number of proliferating pancreatic ductal epithelial cells (PDECs) were observed under conditions of CP. The increase in Pdx1 expressing PDECs (22%) and proliferating Pdx1 expressing PDECs (30%) was significant (P < 0.04). Number of cells expressing insulin/glucagon in the exocrine ducts increased significantly in CP as compared to controls (P < 0.02) and？β？cell mass adjacent to the ducts increased by 28%.？Conclusion: Enhanced capability of PDECs to proliferate and differentiate into endocrine mass suggests that PDECs form a source of progenitors for cell based therapy in chronic pancreatitis.
Dysregulated miRNA Associated with Transcription Factors of Insulin Gene Expression in Chronic Pancreatitis  [PDF]
K. Murali Manohar, M. Sasikala, P. Pavan Kumar, G. V. Rao, D. Nageshwar Reddy
Open Journal of Endocrine and Metabolic Diseases (OJEMD) , 2016, DOI: 10.4236/ojemd.2016.610026
Abstract: Background/Aim: MicroRNAs with regulatory functions in gene expression are implicated in different diseases. The present study investigated differentially expressed miRNAs that possibly influence transcription factors involved in insulin gene expression in Chronic Pancreatitis (CP) employing bioinformatics approaches. Methods: Pancreatic tissues were collected from CP patients undergoing partial pancreatectomy (n = 16) and controls (n = 15) undergoing resections for non-pancreatic malignancies. MiRNA profiles obtained using microarrays were validated by qRT-PCR. Target search involving miRWalk and TarBase as well as functional annotation employing KEGG (Kyoto encyclopedia of genes and genomes) and DAVID (Database for Annotation) databases were performed. Ingenuity pathway analysis (IPA) was used to construct networks relating miRNAs to their target genes. mRNA and proteins related to insulin gene transcription factors and hormones were evaluated by qRT-PCR and western blotting followed by confirmation upon immunofluorescent staining. Results: Microarray data revealed 10 up-regulated and 15 down-regulated miRNAs in CP as compared to controls (Log2 FC > 2). Bioinformatic analysis showed 8399 target genes and KEGG pathway analysis suggested a role for the dysregulated miRNAs in modulating cytokine signaling, fibrosis, JAK-STAT signaling and insulin synthesis. IPA analysis suggested a simplified network attributing dysregulated miRNAs to NFκB-dependent cytokine signaling. Further, associations could be noted between miRNA 200b with Maf A, 138-1 with Neuro D and 27b with FoxO1. Decreases in mRNA levels of Pdx1, Neuro D and increases of Maf A and FoxO1 transcription factors could be noted (P < 0.01) in CP. These results were confirmed by western blotting and immunofluorescence staining. Conclusion: Our results identified dysregulation of miRNAs 138-1, 27b and 200b which were found to be associated with insulin gene transcription factors Neuro D, FoxO1 and Maf A respectively.
Characterization of Islets from Chronic Calcific Pancreatitis Patients of Tropical Region with Distinct Phenotype  [PDF]
P. Pavan Kumar, M. Sasikala, K. Mamatha, G. V. Rao, R. Pradeep, R. Talukdar, D. Nageshwar Reddy
Advances in Bioscience and Biotechnology (ABB) , 2016, DOI: 10.4236/abb.2016.71001
Abstract: Background and Objective: Islet autotransplantation is performed to preserve endocrine function in patients undergoing pancreatic resections for painful chronic pancreatitis. We characterized islets isolated from chronic pancreatitis patients (CP) of tropical region. Patients and Methods: Pancreatic tissues were obtained from CP patients with and without diabetes undergoing pancreatic resections (n = 35) and brain-dead multi organ donors (n = 6; considered as controls). Islets isolated were assessed for yield, purity, viability and in vitro islet function (Glucose stimulated insulin release, GSIR) as per standard protocols. Results: Islets from CP patients without diabetes were similar to controls in yield (control 4120 - 6100 IE/g, CP 3550 - 5660 IE/g), purity (control 78% ± 12%, CP 70% ± 8.2%) and viability (control 85% ± 8%, CP 81% ± 10%) and islets from CP patients with diabetes showed decreases in yield (3002 - 2300 IE/g), purity (61% ± 16%) and viability (62% ± 21%). Islets measuring 50 - 200 μ were similar in abundance in controls (94.74% ± 3.2%) and CP patients with and without diabetes, 86.31% ± 4.9%, 91.03% ± 3.8%. GSIR of islets from CP patients and controls were similar at 5.5 mM glucose (2.8 - 3.1 μU/ml). However, GSIR at 16.5 mM glucose was decreased in CP patients (control 18.5 ± 0.6, CP without diabetes 11.8 ± 0.3, CP with diabetes 4.3 ± 0.3 μU/ml). Conclusion: Our results demonstrate suitability of islets isolated from CP patients of tropical region for autotransplantation.
Klinefelter Syndrome With Leg Ulcers
Narendra G,Sasikala K,Karthikeyan D P,Srinivas C R
Indian Journal of Dermatology , 1999,
Abstract: Leg ulcers are frequently caused by venous insufficiency, arterial insufficiency, neuropathy, or a combination of these factors. Klinefelter syndrome in association with chronic leg ulcers have been reported earlier. We report a case of Klinefelter syndrome with non- healing ulcer. The diagnosis of the Klinefelter syndrome was confirmed by karyotyping.
Learning of Partial Languages
K. Sasikala,V.R. Dare,D.G. Thomas
Engineering Letters , 2007,
Abstract:
Photoconductivity studies of CdSe1a？？xTex thin films as a function of doping concentration
D Ravichandran,Francis P Xavier,S Moorthy Babu,S Sasikala
- , 1996,
Abstract:
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