IN PRESS


Title: DETERMINATION OF ALBUTEROL IN BULK AND DOSAGE FORM BY HPLC USING BUFFER-ETHANOL SYSTEM
Author: Prashant G Phanasekar and Pushpendra Sharma
Keyword: Albuterol, stress, accuracy, oxidation, degradation.
Page No: 21-25
DOI: 10.30876/JOHR.7.2.2019.21-25
Abstract: A novel, simple, accurate and precise HPLC method for determination albuterol in buffer-ethanol (1:1) system has been developed and validated. The linearity is obeyed over a concentration range of 0.5 -150 µg/ml with correlation coefficient of 0.999 for both the drugs. The proposed method was validated by determining accuracy, precision and stability parameters. The method was found to be robust. Specificity of the method was determined by subjecting the drugs to various stress conditions like acid, alkali, oxidation, thermal and photolytic degradation. The method was used successfully for the simultaneous determination of albuterol in aerosol dosage form.Download PDF


Title: MODELING AND ALGORITHM DEVELOPMENT FOR RED SHEEP
Author: Bhupendra Sharma and Dr. Subhash Chandra Sikdar
Keyword: Non-linear Model, Body Weight, Growth Factor.
Page No: 26-29
DOI: 10.30876/JOHR.7.2.2019.26-29
Abstract: Modeling animal growth and production data can be helpful in understanding the pattern of growth and production for different species of animals. Further this can help in evolving strategies to addres s low productivity and augment production as well. Analysis of longitudinal growth data of Madhya Pradesh red sheep using Linear Mixed Effects (LME) model indicates that the conditional quadratic model with heterogeneous AR (1) error covariance structure is good with the covariates, dam’s weight at lambing and gender of lamb showing marked influence on the growth parameters. Season of birth is found to be significant only for growth rate and not for the intercept. Among the ANN models developed for the longitudinal growth data of Madhya Pradesh red sheep, ANN (Artificial Neural Effects) model using Multilayer Perceptron (MLP) architecture is found to perform better when compared to the ANN model based on RBF architecture. Further, when the ANN model based on MLP architecture is compared with the best LME model, it is found that ANN model based on MLP architecture is better than the LME model based on the reliability coefficient concluding that ANN can be considered as an useful alternative modeling technique for longitudinal growth data of Madhya Pradesh red sheep with better predictive ability. Download PDF


Title: NON-LINEAR MODELING AND ALGORITHM DEVELOPMENT FOR POULTRY HENS
Author: Bhupendra Sharma and Dr. Subhash Chandra Sikdar
Keyword: Egg Production, Compartmental Model, Non-linear regression Models.
Page No: 30-33
DOI: 10.30876/JOHR.7.2.2019.30-33
Abstract: In present study, modeling poultry egg production has been carried out. Seven nonlinear models are evaluated for fitting the average weekly flock poultry egg production. Among the models considered, c ompartmental model due to McMillan et al., 1970, which is a combination of monomolecular and an exponential function is found to be superior. When ANN models are developed for the same data, it is found that ANN model using RBF architecture is found to be better compared to the ANN model based on MLP architecture and further ANN using RBF architecture is better than the best nonlinear model identified for this data. Download PDF


Title: MANGANESE (II) AND COBALT (II) COMPLEXES OF SCHIFF BASE: SYNTHESIS AND CHARACTERIZATION
Author: Kalpataru Halder and Utpal Saha
Keyword: Schiff base, Metal Complex, UV-Spectrophotometer, Chelate.
Page No: 34-38
DOI: 10.30876/JOHR.7.2.2019.34-38
Abstract: Synthesis of two Schiff base metal complexes of Mn(II) and Co(II). The complexes were analyzed by different Spectrochemical techniques like Vib. FT-IR spectrum - UV-vis spectrum, EPR spectrum. Both th e complexes show better activity towards the oxidation of substrates (cyclohexane and benzyl alcohol). In both the substrates the complex Co (II) shows better activity than Mn(II).Download PDF


Title: MACROPHYTIC ALGAE OF THE BRACKISH WATERS OF KODUNGALLUR, KERALA, INDIA: INDICATORS OF SALINITY AND CLIMATIC STRESS.
Author: K.K.Vaheeda* and Thara K. Simon**
Keyword: Macrophytic algae, Eutrophication
Page No: 39-43
DOI: 10.30876/JOHR.7.2.2019.39-43
Abstract: The macrophytic algae Enteromorpha intestinal is, Chaetomorpha linum, Cladophora fascicularis, Gracillariopsis lemaneiformis, Calaglossa clavulatum and Hypnea musciformis were found in the estuarine s tation during the monsoon and postmonsoon seasons only. The increase in this macrophytic green alga suggests that the Azhicode Estuary is under the strain from anthropogenic interference and is undergoing eutrophication. The red algae Gracilariopsislemaneiformis and Centroceros clavulatum occurred around the pneumatophores of Aviccenia officinalis. Disappearance of these species during summer when the salinity was high (>20ppt) attributes to their status as ecological indicators. Download PDF


Title: AN ANALYTICAL STUDY ON THE IMPORTANCE OF DATA MINING FOR DESIGNING A DECISION SUPPORT SYSTEM
Author: Narendra Sharma, Dr. Ratnesh Litoriya and Mrs. Deepika Sharma
Keyword: k-means, data mining, decision support system etc
Page No: 44-48
DOI: 10.30876/JOHR.7.2.2019.44-48
Abstract: Decision support system is fully computerized system that can be work with the help of data mining technology. In current scenario organizations use various types of decision support systems to improv e their business activities. Data mining incorporates the possibilities for decision support by determining patterns and relationships in raw data and supporting the inductive approach of data analysis. A Decision Support System is a computerized information system that can be help of maintenances business or organizational decision-making activities. DSSs serve the administration, operations, and planning levels of an organization usually middle and upper management and help to make decisions, which may be quickly changing and not easily specified in. various cases online analytical processing based tools are used in the business area, which allow multiple views on data and through that a deductive approach to data analysis. Data mining encompasses the opportunities of decision support by discovering patterns and relationships concealed in data and therefore enabling the inductive approach of data analysis Key words: k-means, data mining, decision support system etc. Download PDF


Title: RELAXED MEAN LABELING FOR CORONA OF CYCLE AND STAR GRAPHS
Author: S. Sudhakar, Silviya Francis and V.Balaji
Keyword: Relaxed Mean graph and star.
Page No: 49-55
DOI: 10.30876/JOHR.7.2.2019.49-55
Abstract: In this paper, we prove that the graph is a relaxed mean graph if and only if . The graph is a relaxed mean graph if and only if . The graph is a relaxed mean graph if and only if . The graph is a relaxed mean graph if and only if . Download PDF


Title: IMAGE RESTORATION AND DEBLURRING USING LUCY RICHARDSON TECHNIQUE WITH WEINER AND REGULARIZED FILTER
Author: Himanshu Joshi, Dr. Jitendra Sheetlani
Keyword: Blind Deconvolution, Image Restoration, Lucy Richardson, Weiner filter, Regularized Filter, Noise, PSNR and MSE.
Page No: 56-64
DOI: 10.30876/JOHR.7.2.2019.56-64
Abstract: Nowadays we are using high quality of digital camera for capturing the image but due to some artifacts the quality of images degrades such as noise so to restore its original quality different interpo lation techniques has implemented in digital image processing such as blind and non-blind restoration methods of image. In this work, we mainly emphasis on the Lucy Richardson algorithm and blind deconvolution using Weiner and regularized filter to restore the original image. The Lucy-Richardson algorithm engenders reconstructed images of improved quality in the existence of high noise level. Weiner deconvolution can be useful for the point spread function (PSF) when the noise level is known or estimated while regularized deconvolution is much more effective once constraints are applied on the recuperated image (for example: smoothness). The distorted and piercing image is restored by a constant least square (CLS) algorithm that uses regularized filter. The analysis of the projected approach is done using PSNR and MSE measuring parameters and after analysis it is found that the approach better in both the view visual quality and computation time view than other interpolation techniques. By using the combined method of image restoration and interpolation we obtained the better spatial resolution than others.Download PDF


Title: THERAPEUTIC EXPLORATION OF VANADIUM-ASPIRIN COORDINATION METAL COMPLEX AGAINST DIABETIC CATARACT EXACERBATED BY NICOTINE
Author: Arin Bhattacharya, Rajesh Choudhary and Surendra H. Bodakhe
Keyword: Diabetic cataract, Nicotine exacerbation, Oxidative stress,Polyol.
Page No: 65-76
DOI: 10.30876/JOHR.7.2.2019.65-76
Abstract: Cataract is the leading cause of ocular blindness worldwide. It is one of the most secondary complications that occurs secondary to diabetes, the situation gets worse due to concurrent administration of nicotine. The current work had been done with the aim of evaluating the anti-cataract efficacy of Vanadium-Aspirin metal complex (VASCOM) against STZ induced diabetic cataract exacerbated by the nicotine. Metal complex had been synthesized using Aspirin and Vanadyl chloride. The compound had been characterized using IR studies, NMR studies, Magnetic moment studies. Sprague-Dawley albino rats (150-180 g) were assigned to groups each containing six animals. Animals were divided into six groups. Group 1 the control group, the group 2 the diabetic cataract group receiving Streptozotocin 35 mg/kg body weight, intraperitonially, the group 3 the diabetic cataract exacerbated by nicotine group receiving Streptozotocin 35 mg/kg body weight+ nicotine tartarate and the group 4, 5 and 6 receiving the Vanadium-Aspirin complex in a dose of 10,20mg and 30 mg/kg per day oral respectively. The study took 9 weeks. Blood glucose level, insulin and lenticular opacity were examined biweekly and pathophysiological parameters in eye lenses were evaluated after nine weeks of the experimental protocol. After nine weeks administration of VASCOM (30mg/kg) concurrent with Streptozotocin + nicotine tartarate significantly controls the decrease in body weight, reduced the blood glucose level, elevated the insulin level and decrease in the percentage glycemic changes. Additionally, VASCOM (30mg/kg) treatment led to significant alleviation in lens antioxidants (CAT, SOD, GPx, and GSH), total protein, and Ca2+ ATPase activity. Moreover, a significant reduction in lens MDA, polyol level and HbA1c was seen as compared to diabetic cataract exacerbated by nicotine group. The probable molecular mechanism has been evaluated using in vivo software like pkCSM, Molinspiration Cheminformatics and SwissADME. The result helps to conclude that VASCOM (30mg/kg) had plays a significant beneficial role in the management of diabetic cataractogenesis exacerbated by nicotine. Download PDF


Title: THE INTENT OF INDIAN THALI CUSTOMERS ENGAGEMENT ON RETAIL PURCHASES FOR GROCERIES: - GENERALIZED MIXED MODELING APPROACH
Author: Dr. Gurvishal Sinha
Keyword: Customer, Kirana, Wholesaler, Retail & Statistical analysis.
Page No: 77-82
DOI: 10.30876/JOHR.7.2.2019.77-82
Abstract: This paper is a reconnoiters to customers retail purchases for grocery item for consumption. The strength of taste decides the groceries in the kitchen. Kitchen settles on for final buying that is pur chase list. Purchase list with expenses on each item combines buying quantity with quality and establishes a synchronization. The consumer market orchestrates on necessary three variables Kiranas(retailers), wholesalers & Customers. Dependent variables Market, status, supplies, credit facility, free home delivery, sales statistically analyzed. A generalized mixed modeling approach for statistical analysis consummated for business pronouncement. Download PDF