COMPARATIVE ANTIDIABETIC ACTIVITY OF MARKETED GLICLAZIDE FORMULATION WITH GLICLAZIDE LOADED PELLETS CONTAINING GUM KONDAGOGU AS A DRUG RETARDING MATERIAL IN RATS

Controlled drug delivery systems significantly enhances therapeutic efficacy of drugs. Drug retarding polymers are the key performers in such designed systems.Objective: The main objective of study is to evaluate antidiabetic effect of gliclazide loaded pellets developed by green synthesis technique where in gum Kondagogu is used as natural drug retarding polymer and compared with existing Gliclazide Marketed formulation. Methods: The study is carried out in Wistar rats with body weight ranging between 100-220g. Diabetes was induced in animals by injecting alloxan 150mg/kg/bodyweight intraperitoneally (i.p.). Animals were divided into four groups. Group I - Control, Group II- Diabetic Control, Group III- Diabetic treated with Gliclazide Marketed formulation, and Group IV- Diabetic treated with gliclazide loaded pellets orally. Fasting blood glucose levels were estimated at 0, 2, 4, 6, 8, 10, 12 and 24 hours to understand the release of the drug from polymer matrix.Results: The results have shown that the on single oral administration of gliclazide loaded pellets coated with gum Kondagogu showed almost similar anti-diabetic activity when compared with marketed formulation  The maximum reduction  in the glucose level were observed at 4th and 6th hour and later the glucose levels were sustained in the same pattern to that of marketed formulation.Conclusion: In the present study, an effort has been made to evaluate the efficacy of gum kondagogu as a novel controlled release matrix forming material and thus it could be concluded that gum kondagogu could be a controlled release matrix polymer and be a suitable substituent to existing synthetic polymers for drug retardation in the pharmaceutical industry. KEYWORDS: Gum Kondagogu, Gliclazide, tree gum exudates, natural drug retarding materia

Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review

Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant fields have all benefited from recent advancements in mmWave radar sensor technology. A mmWave radar has several advantages that set it apart from other types of sensors. A mmWave radar can operate in bright, dazzling, or no-light conditions. A mmWave radar has better antenna miniaturization than other traditional radars, and it has better range resolution. However, as more data sets have been made available, there has been a significant increase in the potential for incorporating radar data into different machine learning methods for various applications. This review focuses on key performance metrics in mmWave-radar-based sensing, detailed applications, and machine learning techniques used with mmWave radar for a variety of tasks. This article starts out with a discussion of the various working bands of mmWave radars, then moves on to various types of mmWave radars and their key specifications, mmWave radar data interpretation, vast applications in various domains, and, in the end, a discussion of machine learning algorithms applied with radar data for various applications. Our review serves as a practical reference for beginners developing mmWave-radar-based applications by utilizing machine learning techniques.publishedVersio

Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform

In this paper we proposed, a novel framework to assist and automate the diagnosis of diseases from computer-based image analysis method using Content-based image retrieval (CBIR). CBIR is the process of retrieving related images from large database collections by using low level image features such as color, texture and shape etc. we have used fuzzy texton and discrete shearlet transform to extract texture and shape features. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination with relevance feedback using Support Vector Machines

Esthetic Replacement of Maxillary Lateral Incisor with Mary Lever Prosthesis: A Novel Conservative Approach

Dentists often question the use of resin-bonded fixed partial dentures (RBFPDs) for reliable restoration of tooth-bound edentulous spaces. Initial attempts at bonding fixed partialdentures on teeth resulted in early failure due to debonding. In the 1980s and 1990s, improvements in preparation methods, metal alloys and bonding techniques made the RBFPD a more predictable option. This article provides a case report of a restoring a missing maxillary lateral incisor with modified Maryland with the advantages of being fixed to provide a stronger bond as well as being kinder to the periodontal tissues

Integrated Multiple Features for Tumor Image Retrieval Using Classifier and Feedback Methods

AbstractThe content based image retrieval method greatly assists in retrieving medical images close to the query image from a large database basing on their visual features. This paper presents an effective approach in which the region of the object is extracted with the help of multiple features ignoring the background of the object by employing edge following segmentation method followed by extracting texture and shape characteristics of the images. The former is extracted with the help of Steerable filter at different orientations and radial Chebyshev moments are used for extracting the later. Initially the images similar to the query image are extracted from a large group of medical images. Then the search is by accelerating the retrieval process with the help of Support Vector Machine (SVM) classifier. The performance of the retrieval system is enhanced by adapting the subjective feedback method. The experimental results show that the proposed region based multiple features and integrated with classifier and subjective feedback method yields better results than classical retrieval systems

ESTIMATION OF PHYTOCHEMICALS SCREENING AND SUN PROTECTION FACTOR (SPF) NUMBER IN COMMONLY USED ETHANOLIC FRUIT EXTRACTS

The aim of the present study is phytochemical screening and the ultraviolet absorption properties of ethanolic herbal extracts of some commonly used vegetable sources by determining the sun protection factor (spf) number. The invitro SPF number is determined according to the spectrophotomertic method described by Mansur et.al.,. Ethanolic herbal extracts were prepared and after dilution with alcoholic solutions the absorbance were recorded between 290-320 using uv-vis spectrophotometry. It was observed that all of the ethanolic herbal extract showed some UV protection capability. keywords :sun protection factor, spectrophotomertic , ethanolic extrac

The Role of the Internet of Things in Health Care: A Systematic and Comprehensive Study

The Internet of Things (IoT) is becoming an emerging trend and has significant potential to replace other technologies, where researchers consider it as the future of the internet. It has given tremendous support and become the building blocks in the development of important cyber-physical systems and it is being severed in a variety of application domains, including healthcare. A methodological evolution of the Internet of Things, enabled it to extend to the physical world beyond the electronic world by connecting miscellaneous devices through the internet, thus making everything is connected. In recent years it has gained higher attention for its potential to alleviate the strain on the healthcare sector caused by the rising and aging population along with the increase in chronic diseases and global pandemics. This paper surveys about various usages of IoT healthcare technologies and reviews the state of the art services and applications, recent trends in IoT based healthcare solutions, and various challenges posed including security and privacy issues, which researchers, service providers and end users need to pay higher attention. Further, this paper discusses how innovative IoT enabled technologies like cloud computing, fog computing, blockchain, and big data can be used to leverage modern healthcare facilities and mitigate the burden on healthcare resources

Antioxidant, analgesic and anti-inflammatory activities of Leucas cephalotes (Roxb.ex Roth) Spreng

The whole plant of the methanolic extract from Leucas cephalotes was screened for invitro antioxidant (using the DPPH method), invivo analgesic (using hot plate test in mice) and anti-inflammatory (using rat paw edema test) activities. The methanolic extract of Leucas cephalotes (MELC) scavenged the DPPH radicals in a dose-dependent manner. The IC50 value to scavenge DPPH radicals was found to be 421.3µg/ml. A significant (pO extrato metanólico total de Leucas cephalotes foi submetido à triagem para as atividades antioxidante in vitro (utilizando o método DPPH), analgésica (utilizando teste da placa quente, em camundongos) e antiinflamatória (utilizando teste de edema da pata de rato), nas doses de 200 e 400 mg/kg. O extrato metanólico de Leucas cephalotes (MELC) inativou radicais difenil picril hidrazila (DPPH) de forma dose-dependente. O IC50 para essa atividade foi de 421,3 µg/mL. Observou-se atividade analgésica significativa (