Hyper Market Industry in Dubai – An Evaluation Using AHP Technique

Among all retail formats hypermarket is growing very fast in UAE that is at the rate of 150 percent.The major players in this sector are Carrefour, Spinney’s, United, Choithram and Lulu.The focus of the problem is selecting a best hypermarket among the existing operators of Dubai andfor which we used seven major criteria for evaluating the hypermarkets such as product availabilityand variety, market coverage, channel density, customer density, nationality served, facilities andservices and customer spending pattern. We used Analytic hierarchy process (AHP), developed byThomas saaty (1980) to provide a simple but theoretically sound multiple criteria methodology forevaluating the alternatives

A Systematic Algorithm for Denoising Audio Signal Using Savitzky - Golay Method

Audio signal noise reduction is a great task to acquiring noiseless sounds in the noisy environment. But, naturally the audio signals are naturally very noise, which is produced from analog or digital recorders. In this research paper, an efficient noiseless audio reduction system using Savitzky-Golay method is proposed for eliminating unwanted echoes, ripples, etc. Three different audio signals are taken for this work. First one is a human voice in the mobile conversation, which is used for telecommunication purpose. Second is one vehicle sound for usages in security applications. The last one is a music instrumental sound, which used in recording lab. Finally, the proposed system will be compared with the existing noise filters and proved their efficiency with high accuracy, high signal to noise ratio and low elapsed time

Estimation of Serum Albumin Levels Before and After Phase 1 Therapy in Patients with Chronic Periodontitis

BACKGROUND: Many studies have been carried out till date that talk about severity of chronic periodontitis but none correlates with Albumin level in blood before and after instituting phase I periodontal therapy. Since albumin is an important biomarker for systemic inflammation, it must be interesting to check whether periodontal health status has anything to do with the albumin level in blood. Hence, present study was carried out to determine albumin level in blood before and after instituting phase I periodontal therapy and to find out whether it has any effect on systemic health. AIM OF THE STUDY: The aim of this study is to determine whether there is an alteration in the level of serum albumin in patients with chronic periodontitis before and after phase I therapy. METHODS: Fifteen patients with chronic periodontitis and 15 systemically healthy subjects without periodontal disease were selected. Serum albumin levels in individuals with healthy periodontium (control group) and chronic periodontitis (study group) were compared. Serum albumin levels and clinical periodontal parameters (pocket depth, clinical attachment level, gingival index, bleeding index and plaque index) were measured at baseline and 3 months after non-surgical periodontal treatment in chronic periodontitis patients. Data were analyzed with descriptive statistical methods (means ± standard deviations). Independent samples t-test was used to compare serum albumin levels and clinical variables between the test and control groups. Paired samples t-test was used in the test group for comparisons before and after treatment. Statistical significance was set at P < 0.05. RESULTS: The mean serum albumin levels in patients with chronic periodontitis (3.956 ± 0.049 mg/dL) were significantly less than that in periodontally healthy subjects (4.73 ± 0.052mg/dL). Three months after periodontal treatment, the serum albumin level increased significantly (4.567 ± 0.017 mg/dL) and approached the levels in periodontally healthy subjects (P < 0.05). CONCLUSION: The decrease and increase in serum albumin levels with periodontal disease and periodontal treatment respectively indicated an inverse relationship between serum albumin levels and chronic periodontitis

A Study on Mixed Convective, MHD Flow from a Vertical Plate Embedded in Non-Newtonian Fluid Saturated Non- Darcy Porous Medium with Melting Effect

We analyzed in this paper the problem of mixed convection along a vertical plate in a non-Newtonian fluid saturated non-Darcy porous medium in the presence of melting and thermal dispersion-radiation effects for aiding and opposing external flows. Similarity solution for the governing equations is obtained for the flow equations in steady state. The equations are numerically solved by using Runge-kutta fourth order method coupled with shooting technique. The effects of melting (M), thermal dispersion (D), radiation (R), magnetic field (MH), viscosity index (n) and mixed convection (Ra/Pe) on fluid velocity and temperature are examined for aiding and opposing external flows

Melting with Viscous Dissipation on MHD Radiative Flow from a Vertical Plate Embedded in Non-Darcy Porous Medium

We analyzed in this paper the effect of radiation on melting from a vertical plate embedded in porous medium in MHD mixed convection with viscous dissipation under non-Darcy (Forchheimer) conditions. Both aiding and opposing flows are considered in the study. The numerical results were obtained for velocity and temperature variation in melting region and presented in a graphical form. Heat transfer in the melting region has also been studied and the effect of melting parameter and radiation on Nusselt number are presented in graphical form

BIOMECHANICAL, BIOCHEMICAL AND HISTOLOGICAL EVIDENCES FOR WOUND HEALING PROPERTIES OF INDIAN TRADITIONAL MEDICINES

Objective: Ayurveda, India's traditional medicinal system is a rich source of natural remedies, frequently used as home and folk medicine in wound healing due to easy availability and affordability. Honey, Ghee and roots of Glycyrrhiza glabra are effectively used in Ayurveda for treating wounds of various types. Nerium indicum (a folk medicine) is also a known healing agent. Even though the known end result of these medications is faster wound healing, the mechanism of actions at tissue level, changes in the micro-environment of the wound and quantification of the rate of healing is not explored and documented using modern scientific methods.Methods: Healthy Wistar rats were used for incision wound model. Wounds were inflicted and the treatment plan was followed with regular topical application of test materials. The nature of healing was observed regularly and photographed. At different interval of the treatment plan-biomechanical, biochemical and histological studies were carried out. An attempt was also made to quantify the microscopic changes at the wound site.Results: Faster healing was observed in all the animals treated with test materials. This was indicated by alterations in the nature of epithelisation, inflammatory changes, fibroblast recruitment and activity, fibrous composition and arrangement at the wound site in comparison with untreated group.Conclusion: The present study is useful in exploring the mechanism of action of these traditional Indian medicinal systems–Ayurveda and folk medicine and thereby provides scientific evidences for the same.Â

Clustering Algorithms for Spatial Big Data

In our time people and devices constantly generate data. User activity generates data about needs and preferences as well as the quality of their experiences in different ways: i. e. streaming a video, looking at the news, searching for a restaurant or a an hotel, playing a game with others, making purchases, driving a car. Even when people put their devices in their pockets, the network is generating location and other data that keeps services running and ready to use. This rapid developments in the availability and access to data and in particular spatially referenced data in a different areas, has induced the need for better analysis techniques to understand the various phenomena. Spatial clustering algorithms, which groups similar spatial objects into classes, can be used for the identification of areas sharing common characteristics. The aim of this paper is to analyze the performance of three different clustering algorithms i.e. the Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN), the Fast Search by Density Peak (FSDP) algorithm and the classic K-means algorithm (K-Means) as regards the analysis of spatial big data. We propose a modification of the FSDP algorithm in order to improve its efficiency in large databases. The applications concern both synthetic data sets and satellite images

MHD and Thermal Dispersion-Radiation Effects on Non-Newtonian Fluid Saturated Non-Darcy Mixed Convective Flow with Melting Effect

The problem of mixed convection along a vertical plate in a non-Newtonian fluid saturated non-Darcy porous medium in the presence of melting, thermal dispersion-radiation effects for aiding and opposing external flows is analyzed. Similarity solution for the governing equations is obtained for the flow equations in steady state. The equations are numerically solved by using Runge-kutta fourth order method coupled with shooting technique. The effects of melting (M), thermal dispersion (D)-radiation (R), inertia (F) and mixed convection (Ra/Pe) on velocity and temperature distributions are examined in the presence of magnetic parameter MH