Statistical optimization of bacteriocin produced from Lactobacillus delbrueckii subsp bulgaricus isolated from yoghurt

The Lactic Acid Bacteria (LAB) was isolated from yoghurt and identified as Lactobacillus delbrueckii subsp bulgaricus by biochemical methods and by 16s rDNA sequencing. The bacteria was screened for bacteriocin production by Agar well diffusion assay against four test organisms: Klebsiella pneumoniae, Pseudomonas aeruginosa, Proteus mirabilis and Staphylococcus aureus, it was found to inhibit the growth of three test organisms except Klebsiella pneumoniae. The production of bacteriocin was optimized using Response Surface Methodology (RSM) based on the results obtained from single factor method. The optimized parameters were statistically validated using the software MATLAB version 7.5.0.342 (R 2007b) from Math lab works Inc. and assumed that Starch (3), Casein (3), FeSO4 (0.3) and Tween 20 (0.24) w/v supplemented to MRS media were optimum. Bacteriocin concentration before and after optimization was estimated by Lowry's method and was found to be 178.8μg/ ml and 310μg/ml respectively. © All Rights Reserved

Work -Life Balance among Women Entrepreneurs of Assam

Work life balance is the state of equilibrium between an individual’s work and personal life. This study was taken up to examine the level of issues the women face in proper balancing of work life and finding out the problems faced by them in work life balance. The study was conducted with 50 women entrepreneurs involved in different nature of enterprises in Assam, India. Findings revealed that the more than half of the women entrepreneurs face high level of issues in proper work life balance. It was also found that the selected women entrepreneurs faced various issues like health, family, social and psychological problems which are affecting their lives to a great extent

Speed Control of Separately Excited DC Motor using Fuzzy Logic Controller

DC Motors are widely used in industries for various purposes. It is a doubly fed system. Many situations demand change in the speed of the DC Motor. This makes it a necessity to employ a method to effectively control the speed of a separately excited DC motor. Many methods are available to regulate the speed of a separately excited DC motor such as PID control, Fuzzy Logic Control, Neural Network Method. The Fuzzy method gives a human like intuition to the control strategy and is self-tolerant to inputs which are no so precise. The Fuzzy Logic Controller contains different components like Fuzzification, Defuzzification and Fuzzy Rule inference. The Objective is to understand the Fuzzy Rule base and inference methods and employ them in controlling the speed of the motor. It is very efficient where the precision required is not too high. It is a robust, easily controllable strategy. It is capable of realizing multiple inputs and producing different numerous outputs. Here, we discuss the Fuzzy Logic Control of the speed of DC Motor. We make use of this this strategy to achieve a flexible control of the speed of the Separately Excited DC Motor. Error in speed and the derivative of Error are taken as the inputs to the Fuzzy controller and by selecting suitable membership functions we control the output of the Fuzzy controller which is subtracted from the armature supply and then supplied to the armature. In this way the speed of the DC motor is controlled by regulating the armature supply voltag

PMLC- Predictions of Mobility and Transmission in a Lane-Based Cluster VANET Validated on Machine Learning

VANET refers to a massive network system, to communicate with each vehicle or infrastructure a precision protocol, an advanced view and routing system is required. This means of communication should be appropriate for all kind of vehicles. In this proposed PMLC protocol, which was built on cluster routing in a lane-based road environment. The network requires optimal solutions to form the cluster and choose its leader. All road environment characteristics are chosen, and multilayer estimations are generated to obtain specific deviations and variations, which are calculated based on data transfer and vehicle movement, and exact values are found using the machine learning system. The neural network processes the inputs, selects the required leader, and sends the data to the destination. At the end of this explanation, the execution of this protocol is depicted graphically

Long term performance of certain ortets and hybrid clones of Hevea brasiliensis in a high altitude region in Kerala, India

Long term performance of four hybrid Hevea clones and ten ortet selections including nine from a high elevation site within the traditional rubber growing tract of Kerala was studied. Significant variability was observed among the hybrids and ortets for all major agronomic traits. Growth of rubber trees was invariably poor in the high altitude region and tappability by the tenth year of planting was less than 50 per cent. The hybrid clones RRII 203 and RRIC 100 showed highest growth vigour with 80 per cent tappability by the 13th year of planting. Among the ortets, P 270 and Iritty 1 recorded the highest tappability of 64 per cent. The ortet P 270 was the best performer with the highest girth at the opening (61 cm), girth increment during immaturity (5.5 cm) on tapping (3.4 cm) and bole volume (0.1 m3). RRII 203 was the highest yielding clone with 56 g tree-1 tap-1 over eight years of tapping. High annual yield (48 g tree-1 tap-1) and lean season yield of P 270 combined with high drc on par with the highest yielding clone RRII 203 indicated the specific adaptability of this ortet to high elevation areas. The ortets P 213 and Iritty 1 and hybrid clone RRIC 100 were the other promising clones exhibiting growth adaptation and high yield potential under high altitude conditions

Diabetic eye screening in multi ethnic population of Malaysia: epidemiological risk factors for development of diabetic retinopathy

Background:The objective of this study is to evaluate epidemiological risk factors for development of diabetic retinopathy.Methods:The cases of type-2 diabetes mellitus attending Melaka Manipal medical college, Malaysia were retrospectively reviewed. The epidemiological characteristics of diabetic retinopathy were estimated. The cases were graded according to degree of retinopathy in to: non-diabetic retinopathy group and diabetic retinopathy. Clinical and biochemical studies were used for studying the risk factors associated with development of retinopathy.Results:The prevalence of diabetic retinopathy in the population was 21% in known diabetic subjects and was significantly higher in men than in women (21.3% vs. 14.6%) with increasing age and duration of diabetes. Ethnicity is a complex, independent risk factor for diabetic retinopathy. Sight threatening diabetic retinopathy, and clinically significant macular edema was higher in people of Malaysia (20%) when compared with Chinese (16%) and Indonesians (12%). In all, 55 percent of patients with known diabetes mellitus had never undergone an eye examination. Among patients who had undergone eye examinations, 32.8 percent had the last examination within the last one year, 49.8 percent within the last one to two years, and 17.4 percent more than two years ago.Conclusion:Diabetic retinopathy is highly prevalent in the patients with type-2 diabetes mellitus in Malaysia. Besides blood glucose, many factors are associated with the present and development of diabetic retinopathy.

Applying John Dewey\u27s Theory of Education to Infuse Experiential Learning in an Introduction to Human Services Course

Teaching an introductory human services course is challenging, as educators must provide an overview of effective practice in a highly diverse field. Researchers conducted a review of all of the prior editions of the Journal of Human Services (JHS) to identify previous research on experiential learning strategies in human services education. This brief note examines the pedagogical practice of experiential learning and the application of John Dewey\u27s theory for successfully training students in an Introduction to Human Services course