Management of Khalitya through Pracchana followed by Vanadhanyakadi Lepa - A Case Report

Alopecia is caused by androgen and genetic factors. Androgens cause hair follicles to shrink and eventually disappear if they are not addressed. It is inherited as an autosomal dominant trait. A 26-year-old male presented to the Panchakarma OPD Sri Dharmasthala Manjunatheshwara College of Ayurveda and Hospital, Hassan, with complaints of gradual hair loss and scalp itching over a two-year period. It was diagnosed as a case of Khalitya and was treated with Udwartana to Shira Pradesha, Pracchana, and Lepa application. The Norman Hamilton scale, hair pull test and symptoms before and after treatment were used to evaluate the case. Following treatment, there was a significant reduction in symptoms and significant hair growth

AUTOMATION OF NETWORK MICRO SEGMENTATION

Network Micro Segmentation is the ability to transmit data securely between systems over a network. Systems in a network uses advanced encryption technology and provides a mechanism for creating cryptographically enforced virtual networks based on the user’s login credentials. Network Micro Segmentation is used to share the information between the selected users and protecting the sensitive data from hackers by allowing the data to be visible only to the selected users. Network Micro segmentation secures the data in motion and controls the sharing of information within or across the network by employing an innovative cloaking technique. The Automation of Network Micro Segmentation Environment is used to configure the network and systems automatically. The market value of network security reaches $15.5 billion by 2019

A SURVEY ON PARALLEL COMPUTING OF IMAGE COMPRESSION ALGORITHMS JPEG and Fractal Image Compression

This paper presents a short survey on the parallel computing of JPEG and Fractal image compression algorithms. Image compression is a type of data compression. Data Compression generally involves encoding techniques that uses fewer bits than the original representation. Image compression uses various techniques that will remove the redundant and the irrelevant information from the image. Image compression can thus efficiently reduce the storage space required and also speed up the transmission. However, most of the image compression techniques have problems like computational complexity, load etc. Parallel computing can effectively improve the processing speed. JPEG and fractal image compressions are two of the efficient techniques available in image compression. With the availability of the high performance computing in the form of multicore processing systems and GPUs can greatly accelerate the processing of the JPEG image compression technique. Fractal image compression takes advantage of the natural affine redundancy present in the typical images to achieve a high compression ratio. To speed up the compression process the sequential fractal image compression algorithm needs to be converted into parallel fractal image compression algorithm, this translation exploits the inherently parallel nature

Optimisation study of large-scale enzymatic synthesis of oleyl oleate, a liquid wax ester, by response surface methodology

An optimisation study of the large-scale enzymatic synthesis of a liquid wax ester from oleic acid and oleyl alcohol using Novozym 435 was carried out. Investigations were performed in batch mode with a stirred tank reactor (STR) with one multi-bladed impeller. Response surface methodology (RSM) based on a five-level, three-variable central composite rotatable design (CCRD) was used to evaluate the interactive effects of various parameters. The parameters are amount of enzyme (A) (90–120 g), impeller speed (B) (100–400 rpm) and temperature (C) (40–60 °C). The optimum conditions derived via RSM at a fixed reaction time of 1 h were successfully optimised as A = 104 g, B = 388.0 rpm and C = 49.7 °C. The actual experimental yield was 96.7% under the optimum conditions, which compared well with the maximum predicted value of 97.6%

Galacto-Oligosaccharides : production, properties, applications, and significance as prebiotics

Galacto-oligosaccharides (GOS) have now been definitely established as prebiotic ingredients after in vitro and animal and human in vivo studies. Currently, GOS are produced by glycoside hydrolases (GH) using lactose as substrate. Converting lactose into GOS by GH results in mixtures containing GOS of different degrees of polymerization (DP), unreacted lactose, and monomeric sugars (glucose and galactose). Recent and future developments in the production of GOS aim at delivering purer and more efficient mixtures. To produce high-GOS-content mixtures, GH should not only have good ability to catalyze the transgalactosylation reaction relative to hydrolysis, but also have low affinity for the GOS formed relative to the affinity for lactose. In this article, several microbial GH, proposed for the synthesis of GOS, are hierarchized according to the referred performance indicators. In addition, strategies for process improvement are discussed. Besides the differences in purity of GOS mixtures, differences in the position of the glycosidic linkages occur, because different enzymes have different regiochemical selectivity. Depending on oligosaccharide composition, GOS products will vary in terms of prebiotic activity, as well as other physiological effects. This review focuses on GOS production from synthesis to purification processes. Physicochemical characteristics, physiological effects, and applications of these prebiotic ingredients are summarized. Regulatory aspects of GOS-containing food products are also highlighted with emphasis on the current process of health claims evaluation in Europe.Agência da Inovação-Progama IDEIA (Portugal)Fundação para a Ciência e a Tecnologia (FCT

Kinetic study on lipase-catalyzed esterification in organic solvents

2322-2327A twin inhibition is observed for the esterification reaction between ethanol and isovaleric acid using immobilized lipase from Rhizomucor miehei in hexane and in mixed solvent system. The observed bi-substrate inhibition pattern follows a Ping-Pong Bi-Bi mechanism with dead-end inhibition of enzyme by both the substrates. An increase in Km value for alcohol in mixed solvent (0.645 M) than in hexane (0.256 M), indicates that the enhanced solvation of ethanol in mixed solvent results in lower degree of inhibition