FORMULATION AND EVALUATION OF GARLIC POWDER LOADED FLOATING MATRIX TABLET

Objective: The objective of the present work was to formulate and evaluate a stable, odour free garlic powder loaded floating matrix tablet for the treatment of peptic ulcers. Methods: A gastro-retentive floating matrix tablet (FMT) formulation of garlic powder (GP) was prepared using various concentrations of hydroxypropyl methylcellulose K4M (HPMC K4 M) and effervescent system (sodium bicarbonate and citric acid in 1:1 % w/w) to achieve desirable floating time (FT), floating lag time (FLT) and drug release. Wet granulation method was selected using ethanol as a binder for preparation of tablet. 32 full factorial designs were used for selection of suitable polymer concentration and effervescent system. Nonenteric film coating was applied to mask GP odour. Results: It was observed that FMT with optimum quantities of HPMC K4M and the effervescent system showed 97 % of drug release in 12 h with FT up to 10 h and minimum FLT of 3 min. There was no significant change in FLT, FT and drug content during the stability study of FMT. Conclusion: A stable, sustained release FMT of GP tablets using HPMC K4M and an effervescent system was successfully prepared. This formulation can overcome problems of taste and odour masking, gastric irritation, and loss of active constituents present in garlic

Performance Analysis of Pre-Processing Techniques with Ensemble of 5 Classifiers

The continuous development in network attack is being a difficult issue in programming industry. Intrusion detection framework is utilized to identify and break down system attack so IDS need to be updated that can screen the framework and can trigger the alert in the framework. Numerous methods have been proposed by various authors to enhance the execution of IDS yet at the same time they can't give legitimate or complete solution.In the proposed work authorsconsidered several classification techniques and selected the most suitable classifiers namely Bayesian Network, Naive bayes, JRip, MLP, IBK, PART and J48 based on the accuracy.These selected classifiers were further ensemble and experiments were performed on the combination of ensemble of classifiers. The combination giving best accuracy will be used in IDS for detection of various attacks. In additiontwo pre-processing techniques were used for the performance analysis. The outcome of these experiment shows improvement in the detection rate of U2R and R2L attack

Perinatal outcome in preeclampsia at tertiary care center

Background: In India, preeclampsia and other hypertensive disorders of pregnancy are still one of the leading causes of adverse perinatal outcome.Methods: The observation descriptive study of preeclampsia with predetermined sample size of 195 was conducted at department of obstetrics and gynaecology at Government Medical College of Latur, over a time period of six month from March 2021 to August 2021. Findings are compared in frequency percentage values with the perinatal outcome of normotensive group from other study.Results: The prevalence of preeclampsia in our study was 4.1%. LBW found in preeclampsia group 32.3% versus 15% in normotensive group. Prematurity accounts for preeclampsia group 18.4% vs. 9% in normotensive group. Perinatal mortality rate is found to be 8.7 % vs. 2% in preeclampsia group vs. normotensive group respectively. Low APGAR score and NICU admission rate account for 14.8% vs. 13% and 16.4% vs. 11% respectively in preeclmpsia and normotensive group. Both FGR and oligohydroamnious accounts for 15.8% in preeclmpsia group. Important predictors of unfavourable perinatal outcome with p value significant (p<0.05), found in our study are severe and early onset of preeclampsia, severity of proteinuria and low birth weight.Conclusions: Adverse perinatal outcome in form of low birth weight, prematurity, fetal growth restriction and mortality is still high in preeclamsia patients than normotensive. So early diagnosis and treatment of preeclampsia is very crucial along with screening in high-risk patients to prevent unfavourable perinatal outcome

Artificial Intelligence Approaches for Predictive Power Consumption Modeling in Machining-Short Review

This article focuses on the crucial role of predictive modeling, particularly powered by artificial intelligence (AI), in optimizing power consumption in machining, a vital facet of modern manufacturing. Highlighting the growing significance of power utilization in machining operations due to economic, environmental, and equipment-related implications, the article underscores the importance of this area. It proceeds to discuss the contributions of predictive modelling , elucidating its capacity to predict and manage variability, optimize tool selection and cutting parameters, reduce downtime, enable energy-efficient scheduling, and enhance sustainability, all while reducing costs. AI, with its data-driven capabilities, is presented as a transformative force, providing real-time adaptability, predictive maintenance, and energy-efficient scheduling, aligning with sustainability and cost-efficiency goals. While acknowledging the current limitations of AI models, the article outlines future opportunities such as advanced machine learning, IoT integration, sensor monitoring, digital twins, hybrid models, industry standards, and the growing emphasis on explainable AI. These advancements are poised to shape a more sustainable, efficient, and data-informed future for the manufacturing industry

Avoid duplicate key overheads for same data in storage

De-duplication is a technique used to weaken the amount of storage needed by service providers. Now a day the most originating challenge is to perform secure de-duplication in cloud storage. Although convergent encryption has been extensively adopted for secure de-duplication, a demanding issue of making convergent encryption practical is to efficiently and reliably managea massive number of convergent keys. We first introduce a baseline approach in which each user holds an autonomous master key forencrypting the convergent keys and outsourcing them to the server. As a proof of concept, encompass the implementation framework of proposed authorized duplicate check scheme and conduct experiments using these prototype. In proposed system involve authorized duplicate checkscheme sustain minimal overhead compared to normal operations.De-duplication is one of important data compression techniques for eliminating duplicate copies of repeating data. For that purpose Authorized duplication check system is used. This paper addresses problem of privacy preserving de-duplication in cloud computing and introduce a new de-duplication system supporting for Differential Authorization, Authorized Duplicate Check, Unfeasiblity of file token/duplicate-check token, In distinguishability of file token/duplicate-check token, Data affinity.In this project we are presenting the certified data de-duplication toprotect the data security by counting differential privileges of users in the duplicate check.Different new de-duplication constructions presented for supporting authorized duplicate check

FORMULATION AND EVALUATION OF TOPICAL HERBAL GEL CONTAINING INCLUSION COMPLEX OF CURCUMIN: VANDANA D*, SHWETA PAWAR

Objective: The current work was aimed to prepare a topical gel containing curcumin (CUR) for the treatment of microbial infections on skin. Methods: CUR was complexed with the β-cyclodextrin (β-CD) using kneading method in 1:1, 1:2, and 1:3 molar ratios and characterized. The inclusion complex with high aqueous solubility was loaded in the topical gel containing (2% CUR) which was prepared using carbopol, sodium CMC, and guar gum and evaluated for viscosity, spreadability, extrudability, pH, drug content, and in vitro diffusion studies. The in vitro anti-inflammatory activity of the gel was performed by albumin protein denaturation technique, the statistical analysis was done using ANOVA followed Dunnett’s t-test. The antimicrobial activity of CUR was evaluated using standard strains of Candida albicans and Escherichia coli by agar well diffusion method. Results: The complexation of CUR had an increased solubility up to 103.09 times for 1:3 molar ratio with in vitro dissolution 90.64% for 60 min. The optimized formulation F9 had viscosity of 6500.3 cps and 97.5% in vitro drug diffusion for 8 h which follows zero-order release kinetics. In vitro anti-inflammatory activity studied showed that the CUR gel has a good potency for renaturation and was as effective as standard diclofenac with 76.9% inhibition (p=0.0507). CUR showed approx. 3 mm diameter of zone of inhibition against C. albicans and E. coli. Conclusion: A stable topical gel of CUR using β-CD and carbopol was successfully prepared which showed better in vitro diffusion with promising anti-inflammatory and antifungal action

Recent Advances in the Spintronic Application of Carbon-Based Nanomaterials

The term &ldquo;carbon-based spintronics&rdquo; mostly refers to the spin applications in carbon materials such as graphene, fullerene, carbon nitride, and carbon nanotubes. Carbon-based spintronics and their devices have undergone extraordinary development recently. The causes of spin relaxation and the characteristics of spin transport in carbon materials, namely for graphene and carbon nanotubes, have been the subject of several theoretical and experimental studies. This article gives a summary of the present state of research and technological advancements for spintronic applications in carbon-based materials. We discuss the benefits and challenges of several spin-enabled, carbon-based applications. The advantages include the fact that they are significantly less volatile than charge-based electronics. The challenge is in being able to scale up to mass production

A case report of pyknodysostosis with cleidocranial dysplasia: Computed tomography and panoramic imaging

Pyknodysostosis is an extremely rare autosomal recessive genetic osteosclerotic disorder caused by cathepsin K deficiency leading to decrease in the bone turnover. It is characterized by short stature, brachycephaly, short and stubby fingers, open cranial sutures and fontanelle, and diffuse osteosclerosis. Multiple fractures of long bones and osteomyelitis of the jaw are frequent complications. We describe a 28-year-old male with clinically as well as radiologically multislice computed tomography (CT) and panoramic studies of pyknodysostosis. The purpose of multislice CT of the jaw was to understanding of the complete abnormal facial anatomy and is useful for planning of tooth extraction and/or implantation of prosthetics as well as to know earlier changes of dental abscess and/or carries development