76 research outputs found

    Recognition Techniques and System Classification

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    The voice is most primary mode of Communication among of human being. The communication among human computer interaction is called human computer interface. Voice potential of being important of interaction with computer .This paper gives an overview of major technological perspective and appreciation of the fundamental progress of recognition and also gives overview technique developed in each stage of recognition. This paper helps in choosing the technique along with their relative merits & demerits. A comparative study of different technique is done as per stages. This paper is concludes with the decision on feature direction for developing technique in human computer interface system using Hindi Language

    Segmentation and Descriptors for Pattern

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    Image segmentation is an essential preliminary step in most automatic pictorial pattern recognition. The purpose of representation and description is used to be the application of Pattern. In the application of image processing, we have to choose an approach and to do description, just like recognition of the image. Keywords: image processing, Patter

    A Study of Focused Web Crawling Techniques

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    In the recent years, the growth of data on the web is increasing exponentially. Due to this exponential growth, it is very crucial to find the accurate and significant information on the Web. Web crawlers are the tools or programs which find the web pages from the World Wide Web by following hyperlinks. Search engines indexes web pages which can be further retrieved by entering a query given by a user. The immense size and an assortment of the Web make it troublesome for any crawler to recover every pertinent information from the Web. In this way, different variations of Web crawling techniques are emerging as an active research area. In this paper, we survey the learnable focused crawlers

    Rossler Nonlinear Dynamical Machine for Cryptography Applications

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    In many of the cryptography applications like password or IP address encryption schemes, symmetric cryptography is useful. In these relatively simpler applications of cryptography, asymmetric cryptography is difficult to justify on account of the computational and implementation complexities associated with asymmetric cryptography. Symmetric schemes make use of a single shared key known only between the two communicating hosts. This shared key is used both for the encryption as well as the decryption of data. This key has to be small in size besides being a subset of a potentially large keyspace making it convenient for the communicating hosts while at the same time making cryptanalysis difficult for the potential attackers. In the present work, an abstract Rossler nonlinear dynamical machine has been described first. The Rossler system exhibits chaotic dynamics for certain values of system parameters and initial conditions. The chaotic dynamics of the Rossler system with its apparently erratic and irregular characteristics and extreme sensitivity to the initial conditions has been used for the design of the cryptographic key in an attempt to increase the confusion and the challenge for the potential attackers.Comment: 5 pages, 3 figure

    AN OVERVIEW OF FOURIER TRANSFORM ON IMAGE PROCESSING

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    The recognition of an images are important in the digital image processing. In this paper we introduce the definition of Fourier Transform and it's properties through which the solution of the problem will be easier than expected and also describe that what is the roll of Fourier transform in image recognition

    OPTIMIZATION AND CHARACTERIZATION OF CHITOSAN-BASED NANOPARTICLES CONTAINING METHYLPREDNISOLONE USING BOX-BEHNKEN DESIGN FOR THE TREATMENT OF CROHN’S DISEASE

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    Objective: The present research was designed to produce methylprednisolone containing chitosan-based nanoparticles using Box-Behnken Design (BBD) and Response Surface Methodology (RSM) for optimization. Methods: Nanostructures were prepared using the ionic gelation method with screened process parameters. According to the design, methylprednisolone chitosan-based nanoparticles (MCSNPs) were optimized using factors like methylprednisolone concentration, stirring speed and temperature whereas particle size, zeta potential and % encapsulation efficiency as responses. From the observed values of responses with confirmation location and desirability, the predicted values were very close to the observed values. Results: Observed values for the optimized formulation have a particle size of 243±2.33 nm with an encapsulation efficiency of 79.3±7.2%. Morphology of the particles using scanning electron microscopy reveals nearly spherical shaped particles. Methylprednisolone was released in vitro in a sustained manner for about 24 h in simulated colonic fluid pH 7, pH 7.8 (Fasted state) and phosphate buffer pH 7.4, when compared to simulated colonic fluid at pH 6 (Fed state). Optimized MCSNPs followed Korsmeyer peppas kinetics with drug release mechanism as anomalous transport. Conclusion: Application of Box-Behnken design and Response Surface Methodology using Design Expert software was successfully used in the optimization of methylprednisolone loaded chitosan-based nanoparticles with high encapsulation efficiency

    Outerbridge classification as a predictor for the need of patellar resurfacement in total knee arthroplasty: a prospective study

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    Background: Residual anterior knee pain after total knee arthroplasty is one of the common causes of early revision surgery in form of patellar resurfacing and even resurfacing the patella in these circumstances may not relieve the symptoms. So, the decision to perform patellar resurfacing during total knee arthroplasty to prevent anterior knee pain remains controversial. The purpose of this study is to determine if the outerbridge classification can predict the need for Patellar resurfacing as part of total knee arthroplasty.Methods: 100 patients with advanced osteoarthritis of knee fulfilling the inclusion and exclusion criteria were randomized into two groups of 50 patients each. In group A-patellar resurfacing done and in group B-patella was not resurfaced while carrying out TKR. Each patient was assessed intraoperatively and his/her patella classified as per Outerbridge classification. Patients were followed-up at 03, 06 and 12 months postoperatively and assessed by modified hospital for special surgery (HSS) knee scores.Results: In case of Outerbridge class III group there is a statistically significant difference (p value -0.002) in HSS score at 03 months, which becomes highly significant at 06 months (p value -0.001) and 01 year (p value <0.001). Similarly, there is statistically significant difference in HSS score (p value- 0.001) in Outerbridge class IV group at 03 months, 06 months and 01 year.Conclusions: Patellar resurfacing in patients undergoing total knee arthroplasty with patella in Outerbridge class III and IV can be safely carried out to further improve the functional outcome. There is no distinct advantage of resurfacing patella in Outerbridge class I and II in terms of functional gain. Thus, Outerbridge classification for patella can effectively guide us whether to resurface patella or not in patients undergoing total knee arthroplasty.

    Visual detection of Brucella in bovine biological samples using DNA-activated gold nanoparticles

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    Brucellosis is a bacterial disease, which, although affecting cattle primarily, has been associated with human infections, making its detection an important challenge. The existing gold standard diagnosis relies on the culture of bacteria which is a lengthy and costly process, taking up to 45 days. New technologies based on molecular diagnosis have been proposed, either through dip-stick, immunological assays, which have limited specificity, or using nucleic acid tests, which enable to identify the pathogen, but are impractical for use in the field, where most of the reservoir cases are located. Here we demonstrate a new test based on hybridization assays with metal nanoparticles, which, upon detection of a specific pathogen-derived DNA sequence, yield a visual colour change. We characterise the components used in the assay with a range of analytical techniques and show sensitivities down to 1000 cfu/ml for the detection of Brucella. Finally, we demonstrate that the assay works in a range of bovine samples including semen, milk and urine, opening up the potential for its use in the field, in low-resource settings

    Risk Management in Public Health Emergencies: Lessons from Recent Pandemics

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    Drawing on what we\u27ve learned from recent pandemics, this study paper looks at how important risk management is when dealing with public health crises. Public health events, especially pandemics, put a lot of people at risk around the world. To lessen their effects, we need good risk management methods. This paper looks at recent pandemics like the COVID-19 pandemic, the H1N1 flu pandemic, and the Ebola outbreak to find the main problems and chances in managing risk during public health crises. This paper looks at a lot of literature, policy documents, and case studies to give a thorough look at the risk management models, tactics, and best practices that have been used during different public health situations. It also talks about how planning, cooperation, communication, and adaptability can help improve risk management and lessen the bad effects of pandemics. By putting together what we\u27ve learned from past mistakes, this paper gives lawmakers, public health officials, and other interested parties useful information and suggestions on how to improve risk management and get ready for future public health events. DOI: https://doi.org/10.52710/seejph.49

    SPECTROPHOTOMETRIC AND REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHIC METHODS FOR SIMULTANEOUS DETERMINATION OF ATORVASTATIN AND PIOGLITAZONE IN COMBINED TABLET DOSAGE FORM

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    Simple, accurate, precise, and sensitive ultraviolet spectrophotometric and reversed-phase high-performance liquid chromatographic (RP-HPLC) methods for simultaneous estimation of Atorvastatin (ATOR) and Pioglitazone (PIO) in combined tablet dosage form have been developed and validated. The spectroscopic methods employs formation and solving of simultaneous equation at 247 nm and 267 nm as 2 wavelengths for estimation of ATOR and PIO respectively (method 1) While method 2 involves formation of Q- absorbance equation at 233 nm (isoabsorptive point) and 267 nm (λ max of Pioglitazone) with methanol as solvent. Beer’s law is obeyed in the concentration range of 5.0–50.0 mcg/mL for ATOR and PIO, respectively. The RP-HPLC method uses HPLC system with a Phenomenex Luna C18 (5 mm x 25cm x 4.6mm i.d) using Methanol, acetonitrile and potassium dihydrogen phosphate buffer, pH 2.5 adjusted with orthophosphoric acid (60:20:20 v/v) at a flow rate of 1.0 mL/min at ambient temperature as the mobile phase. The detection was carried out using an ultraviolet detector set at 233 nm. For the HPLC method, Beer’s law is obeyed in the concentration range of 5.0-50.0 µg/ml for ATOR and PIO, respectively. LOD values for ATOR and PIO were found to be 57.12µg/ml and 12.01 µg /ml respectively. All the methods have been successfully applied for the analysis of the drugs in a pharmaceutical formulation. Results of analysis were validated statistically and by recovery studies.1-
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