20 research outputs found

    Biochemical Studies on Coconut Oil and Olive Oil

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    Pharmaceutical characterization and exploration of Arkeshwara rasa in MDA-MB-231 cells

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    Background: The diverse specificity mode of cancer treatment targets and chemo resistance demands the necessity of drug entities which can address the devastating dynamicity of the disease. Objectives: To check the anti-tumour potential of traditional medicine rich in polyherbal components and metal nanoparticle namely Arkeshwara rasa (AR). Material methods: The AR was prepared in a modified version with reference from Rasaratna Samuchaya and characterized using sophisticated instrumental analysis including XRD, SEM-EDAX, TEM, TGA-DSC, and LC-MS and tested against the MDA-MB-231 cell line to screen cell viability and the cytotoxicity with MTT, SRB and the AO assay. Results: XRD pattern shows cubic tetrahedrite structure with Sb, Cu, S peaks and trace elements like Fe, Mg, etc. The particle size of AR ranges between 20 and 30 nm. The TGA points thermal decomposition at 210 °C and the metal sulphide peaks in DSC. LC-MS analysis reveals the components of the formulation more on the flavonoid portion. The IC50 value of MTT and SRB are 25.28 μg/mL and 31.7 μg/mL respectively. The AO colorimeter substantiated the cell viability and the apoptosis figures of the same cell line. The AR exhibits cytotoxicity and reaffirms the apoptosis fraction with SRB assay. Conclusions: The Hesperidine, Neohesperidin, Rutin components in the phytochemical pool can synergize the anti-tumour potential with either influencing cellular pathways or decreasing chemo resistance to conventional treatment. AR need to be further experimented with reverse transcription, flow cytometry, western blotting, etc

    Ghrita and different herbal inclusions on neurological disorders - A perspective review

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    Introduction: Ayurveda ghrita dosage forms are well appreciated in the Classical treatises for different diseases and may be useful in neurological conditions such as these formulations are recommended since birth for memory enhancement and improving intellect as the major development of brain completes within the initial 5 years. So, these PUFA embedded preparations with DHA, AA, BA, etc are extensively screened out for the cognition, memory, neuro-protective, genesis of plasticity, etc in terms of herbal constituents added with the dosage form. Material and Methods: The Classical Ayurveda treatises and the databases like Pubmed, Scopus, Web of Science, etc were searched with the words like nootropic, PUFA, DHA, etc. The articles related with synaptic transmission and the phytochemical domination in the neurotransmission were separated for further understanding of mechanism. Results: AChE inhibitory action can preserve the acetyl choline activity while the synaptic transmission exhibited by α-Asarone of AC, BM, etc. Similarly, the Glutamate transmission with the NMDA receptor protected the neuronal degeneration from β-Amyloid like protein accumulation in CP constituents. The Serotonergic and Dopaminergic neurotransmission pathway were also regulated by the herbal and the lipid factors. These different pathways were somehow involved in the memory enhancement. Conclusion: The ghrita and the herbals mentioned were maintaining the neuronal synaptic transmission. Further clarification is necessary regarding the intrinsic pathway related to the mechanism of ghrita dosage form

    Author Correction: Stretchable nanofibers of polyvinylidenefluoride (PVDF)/thermoplastic polyurethane (TPU) nanocomposite to support piezoelectric response via mechanical elasticity

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    The original version of this Article contained an error in the spelling of the author Abdulrzak Masrani which was incorrectly given as Abdulrazak Masrani. The original Article has been corrected. © The Author(s) 2022

    FPGA Implementation of High Quality Random Number Generator Using LUT Based Shift Registers

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    AbstractRandom numbers are required for wide range of applications such as in encryption of data, testing and Monte-Carlo simulations. So, hardware implementation of random number generator is inevitable. FPGA Optimized RNGs are more efficient in terms of resource than software based RNGs. The LUT-SR RNG, a type of FPGA RNG in which LUTs are configured into shift registers with varying length. The existing work provides a midpoint between LUT-OPT RNG and LUT-FIFO RNG. In the enhancement work, we proposed modified LUT-SR RNG which provides more randomness, quality and minimum resource utilization than the existing LUT-SR generator. Inorder to improve the randomness quadratic residue method is employed. Linear Congruential Generator (LCG) algorithm, one of the oldest and well known algorithm is also used in modified LUT-SR RNG to enhance the performance. Here design was made by VHDL programming language by using Xilinx software

    Classification of Myocardial Infarction Using Multi Resolution Wavelet Analysis of ECG

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    AbstractIn this paper, classification of anterior and inferior myocardial infarction from normal cases is done using the changes happening in ECG waves. Depth of Q peak and elevation in ST segment is taken in consideration for classification purpose. A multiresolution approach along with an adaptive thresholding is used to extract these ECG features. Classification of inferior myocardial infarction (IMI) and anterior myocardial infarction (AMI) is done using a simple adaptive threshold (SAT) method. The sensitivity, specificity and accuracy is 93.22%, 94.28% and 93.61% respectively in case of IMI and in AMI cases its 83.33%, 88.57%, 86.15% respectively. Classification is also done using artificial neural network, but its performance is comparatively low. This may be due to inadequacy of data available. The PTB diagnostic ECG database is used for evaluation of the methods

    A prospective comparative study of efficacy of lenalidomide plus dexamethasone combination therapy versus VAD (vincristine, doxorubicin and dexamethasone) regimen in the treatment of multiple myeloma

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    Background: Lenalidomide plus Dexamethasone (Len-Dex) and VAD (Vincristine, Doxorubicin and Dexamethasone) regimen are the two common drug therapies employed in the treatment of Multiple myeloma.Objectives: To compare the efficacy of Len-Dex versus VAD regimen based on complete remission achieved with treatment in newly diagnosed cases of multiple myeloma in a tertiary care hospital in Kerala.Methods: Eighty patients (forty in each group) of newly diagnosed cases of multiple myeloma, who were willing to give the informed consent, were included in the study. Patients were allocated by the treating physician to two groups; one group was given Len-Dex (lenalidomide + dexamethasone) regimen and the other VAD (Vincristine, Adriamycin, Dexamethasone) regimen. A total of six cycles were given for both groups. Their baseline investigations and follow up investigations were collected at regular intervals, based on these values, the outcome was classified as partial remission and complete remission and the results were compared and analyzed.Results: Among the forty patients in each group, 17 (38%) on VAD regimen and 28 (62%) on Len-Dex regimen achieved complete remission. The statistical analysis was done using chi square test (χ2= 6.13, df= 1, p= 0.01) which showed statistically significant difference.Conclusions: The study showed that the efficacy of Lenalidomide-Dexamethasone (Len-Dex) combination therapy is clearly higher than that of VAD regimen among the study population. The overall efficacy of Len-Dex combination is 70% and that of VAD regimen is only 42.5%.</jats:p

    Monitoring of Harmful Algal Bloom (HAB) of Noctiluca scintillans (Macartney) along the Gulf of Mannar, India using in-situ and satellite observations and its impact on wild and maricultured finfishes

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    In the Gulf of Mannar, Noctiluca scintillans blooms have been observed three times in September 2019, September and October 2020, and October 2021. It was determined and measured how the bloom period affects ichthyo-diversity. Noctiluca cell density varied slightly from year to year, ranging from1.8433 × 103 cells/L to 1.3824 x 106cells/L. In surface and sea bottom waters, high ammonia levels and low dissolved oxygen levels were noted. During the bloom period a significant increase in chlorophyll concentration was found. The amount of chlorophyll in GOM was extremely high, according to remote sensing photos made using MODIS-Aqua 4 km data. Acute hypoxia caused the death of wild fish near coral reefs and also in fish reared in sea cages. The decay of the bloom resulted in significant ammonia production, a dramatic drop in the amount of dissolved oxygen in the water, and ultimately stress, shock, and mass mortality of fishes

    Enzymatic Liquefaction of Jackfruit (Artocarpus Heterophyllus Lam.) Pulp for Juice Production and value addition thereafter

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
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