A WAY TO PREVENT THE PANDEMIC OUTBREAK OF nCOVID-19 IN INDIA

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IN VITRO ASSESSMENT OF ANTHELMINTIC AND ALPHA-AMYLASE INHIBITION OF SCHLEICHERA OLEOSA (LOUR.) OKEN LEAF EXTRACTS

Objective: The present study deals with the effects of Schleichera oleosa (Lour.) Oken leaf extracts on helminths and alpha-amylase inhibition. Identification of phytochemicals and physicochemical analysis were also performed.Methods: Different concentrations (25, 50, and 100 mg/ml) of petroleum ether, acetone, chloroform, ethanol, and aqueous extracts of the leaf were used to examine the effects. For the evaluation of in vitro anthelmintic activity, several earthworms (Eisenia fetida, Perionyx excavates, and Pheretima posthuma) and nematode (Ascaridia galli) were taken, while albendazole was used as a standard drug and Tween 80 (3%) in normal saline (0.9% NaCl) was considered as a control treatment. In vitro alpha-amylase inhibition of different extracts (10–100 mg/ml) was done spectrophotometrically by dinitrosalicylic acid - starch azure method.Results: The ethanolic extract showed the maximum presence of phytochemicals among all the extracts, which included alkaloids, tannins, flavonoids, saponin glycosides, phenolic compounds, resins, and amino acids. The outcomes of the determination of physicochemical parameters and fluorescence characters provided the satisfactory results. Significant anthelmintic activity was established by the ethanolic and aqueous extracts of the leaf among all the extracts and the responses, so observed, were dose responsive. Inhibition of alpha-amylase by ethanolic and aqueous extracts was significant with the IC50 value of 36.63 and 73.94 μg/ml, respectively, when compared to standard acarbose.Conclusion: The ethanolic extract was the more potent candidate for both the effects, and the effect of extract was best against A. galli, P. posthuma, and E. fetida at higher concentration. Isolation and characterization of therapeutic constituents would be the future interest

Deep Learning Based Forecasting-Aided State Estimation in Active Distribution Networks

Operating an active distribution network (ADN) in the absence of enough measurements, the presence of distributed energy resources, and poor knowledge of responsive demand behaviour is a huge challenge. This paper introduces systematic modelling of demand response behaviour which is then included in Forecasting Aided State Estimation (FASE) for better control of the network. There are several innovative elements in tuning parameters of FASE-based, demand profiling, and aggregation. The comprehensive case studies for three UK representative demand scenarios in 2023, 2035, and 2050 demonstrated the effectiveness of the proposed approach

Design of an optimal multi-layer neural network for eigenfaces based face recognition

Face recognition is one of the most popular problems in the field of image analysis. In this paper, we discuss the design of an optimal multi-layer neural network for the task of face recognition. There are many issues while designing the neural network like number of nodes in input layer, output layer and hidden layer(s), setting the values of learning rate and momentum, updating of weights. Lastly, the criteria for evaluating the performance of the neural network and stopping the learning are to be decided. We discuss all these design issues in the light of the eigenfaces based face recognition. We report the effects of variations of these parameters on number of training cycles required to get optimal results. We also list the optimized values for these parameters. In our experiments, we use two face databases namely ORL and UMIST. These databases are used to construct the eigenfaces. The original faces are reconstructed using the top eigenfaces. The factors used in the reconstruction of the faces are used as the inputs to the neural network

Lossless gray image compression using logic minimization

A novel approach for the lossless compression of gray images is presented. A prediction process is performed followed by the mapping of prediction residuals. The prediction residuals are then split into bit–planes. Two-dimensional (2D) differencing operation is applied to bit-planes prior to segmentation and classification. Performing an Exclusive-OR logic operation between neighboring pixels in the bit planes creates the difference image. The difference image can be coded more efficiently than the original image whenever the average run length of black pixels in the original image is greater than two. The 2d difference bit-plane is divided in to windows or block of size 16*16 pixels. The segmented 2d difference image is partitioned in to non-overlapping rectangular regions of all white and mixed 16*16 blocks. Each partitioned block is transformed in to Boolean switching function in cubical form, treating the pixel values as a output of the function. Minimizing these switching functions using Quine- McCluskey minimization algorithm performs compression

Phytochemical and Anti-Inflammatory Evaluation of Herbal Gel Prepared from Bark Extract of Mesua Ferrea Linn

The present research work involves formulation of herbal gel containing stem bark extracts of Mesua ferrea Linn and its evaluation for in vitro anti-inflammatory activity. The gel formulations were prepared using ethanolic extracts along with different polymer. The physiochemical parameters of formulations like; pH, viscosity and spreadability etc. also evaluated. Phytochemical analysis revealed presence of phenols, flavonoids and alkaloids, etc. The ethanolic extracts showed appreciable anti-inflammatory activity compared to the standard drug. Study confirmed that potential anti-inflammatory formulation can be developed from bark extract of Mesua ferrea Linn.   Keywords: Mesua ferrea Linn., Anti-inflammatory, Herbal Gel, Phytochemical, Albumin denaturation

EVALUATION OF IN VITRO ANTI-INFLAMMATORY ACTIVITY AND HPTLC ANALYSIS OF PLANT PHYLLANTHUS FRATERNUS

Objective: The present investigation evaluated in vitro anti-inflammatory activity of Phyllanthus fraternus. Inhibition of Cyclooxygenase and 5-lipoxygenase was performed along with protein denaturation.Methods: Alcoholic extract of plant was subjected to in vitro anti-inflammatory activity and HPTLC analysis.Results: The results of anti-inflammatory activity showed significant inhibition in Cyclooxygenase and 5-lipoxygenase assay, extract also showed more than 70 % inhibition in protein denaturation method. HPTLC of plant materials was also performed; spots of alkaloids were recorded.Conclusion: Different alkaloids were spotted in chromatographic analysis and study suggested that anti-inflammatory activity of Phyllanthus fraternus may be due to the presence of alkaloids.Â

Role of diffusion weighted MR imaging in differentiating benign from malignant prostate lesions

Background: The purpose of the study was to determine the diagnostic accuracy of diffusion weighted MR imaging and to propose a cut off ADC value in differentiating benign from malignant prostatic lesions considering histopathology as gold standard.Methods: It is a descriptive type of observational study done on 40 patients with clinical suspicion of prostate carcinoma and elevated PSA level more than 4ng/ml. The patients underwent Multiparametric prostate MRI and ADC values were calculated using ADC maps.Results: Of the 40 cases included in the study histopathology revealed a diagnosis of abscess (1), chronic prostatitis (2), BPH with chronic prostatitis (4), BPH (12), and malignancy (21). The mean and standard deviation (SD) of ADC values for the abscess (0.59), CP (0.83+0.16), BPH with CP (0.94+0.22), BPH (1.14+0.14) and malignancy (0.72+0.15) (x10-3mm2/s) were found in our study. The mean ADC value of malignant lesion was lower (0.727+0.149) as compare to benign lesion (1.034+0.216) and this difference was found to be statistically significant with p<0.001. By using ROC curve, ADC cut off value was calculated as 0.92 x 10-3mm2/s and sensitivity, specificity at this cut off value of ADC were 95.24% and 73.68% respectively. The PPV, NPV, diagnostic accuracy of at this cut off value of ADC were 80%, 93.33%, 85% respectively.Conclusions: Our study shows that DWI with ADC calculation helps in differentiation of Benign from Malignant prostatic lesions with high accuracy and this quantitative analysis should be incorporated in routine MRI evaluation of prostatic lesion

ANTIMICROBIAL AND PHYTOCHEMICAL EVALUATION OF CISSUS QUADRANGULARIS L.

The present investigation involves antimicrobial and phytochemical evaluation of Cissus quadrangularis L. The antibacterial activity of Cissus quadrangularis was performed using disk diffusion method. The Results of study proved prompt efficacy of herbal extract against S. aureus and E. coli. The concentration dependent antibacterial activity of extract was observed against both organisms. Study also involves phytochemical investigation of herbal extract using HPTLC, IR and UV-Visible spectrophotometer. The result of study indicated that the methanolic extract possessed most potent antibacterial activity as compared to other extract. The antibacterial activity increases with the concentration and results indicated that the diameters of zone inhibition of the extract were comparable with the standard drug. The antimicrobial potential of plant extract may be attributed to the presence of specific phytoconstituents

PHYTOCHEMICAL STANDARDIZATION AND ANTIOXIDANT POTENTIAL OF AYURVEDA FORMULATION DARVYADI RASKRIYA

The study represents phytochemical standardization and antioxidant potential of ayurveda formulation Darvyadi Raskriya. The study involves development of high-performance thin-layer chromatographic (HPTLC) method for analysis of formulation. The study utilizes analysis of glycyrrhizin in formulation which is the phytoconstituent of Glycyrrhiza glabra one of the component of formulation. The sample in ethanol was applied on aluminium TLC plates using Linomat 5 spray (CAMAG). Linear ascending development was performed in twin trough glass chamber saturated with mobile phase. The mobile phase consisted of ethyl acetate-methanol-formic acid (10:5:1 v/v/v). The spectrodensitometric detection was performed at the wavelength of 254 nm. The regression analysis was found to be linear with r2=0.997 in the concentration range 5-25 ppm. The antioxidant activity of formulation was also found to be significant as compared to control. Keywords: Standardization, Glycyrrhiza glabra, Glycyrrhizin, HPTLC, Antioxidant