Sharda University

About: Sharda University is a education organization based out in Greater Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Medicine. The organization has 1276 authors who have published 2012 publications receiving 16188 citations.

Effect of Nonsurgical Periodontal Therapy on Serum Highly Sensitive Capsule Reactive Protein and Homocysteine Levels in Chronic Periodontitis: A Pilot Study.

Abstract: Introduction: The aim of the present study was to assess the effect of nonsurgical periodontal therapy on circulating serum high-sensitivity capsule reactive protein (hs-CRP) and homocysteine (Hcy) levels in patients with chronic periodontitis. Materials and Methods: The study involved fifty participants. The test group included 25 systemically healthy controls (mean age 38.44 ± 3.27 years) with severe chronic periodontitis and the control group (n = 25) included age- and sex-matched systemically and periodontally healthy controls. Clinical parameters were recorded, intraoral periapical radiographs were taken, hematological tests and assessment of serum hs-CRP levels and Hcy levels were performed at baseline and 3 months after completion of nonsurgical periodontal therapy. Results: Mean serum hs-CRP and Hcy concentration in patients with chronic periodontitis were 3.37 ± 0.54 mg/L and 21.47 ± 7.93 μmol/L, respectively, and was significantly higher than the controls (1.68 ± 0.71 mg/L and 13.93 ± 8.30 μmol/L, respectively) (P < 0.05). Posttreatment, the mean serum hs-CRP and Hcy concentration reduced significantly in both test and control groups (P < 0.05). Conclusion: Chronic periodontitis leads to an increase in circulating levels of hs-CRP and Hcy in plasma and nonsurgical periodontal therapy decreases periodontal inflammation, which in turn reduces systemic inflammation and consequently decreases serum levels of hs-CRP and Hcy.

A Wavelet Algorithm for Fourier-Bessel Transform Arising in Optics

Abstract: The aim of the paper is to propose an efficient and stable algorithm that is quite accurate and fast for numerical evaluation of the Fourier-Bessel transform of order , using wavelets The philosophy behind the proposed algorithm is to replace the part of the integral by its wavelet decomposition obtained by using CAS wavelets thus representing as a Fourier-Bessel series with coefficients depending strongly on the input function The wavelet method indicates that the approach is easy to implement and thus computationally very attractive

Road Accident Data Analysis: Data Preprocessing for Better Model Building

Abstract: In this study we focused on the relationship between preprocessing and model accuracy. The performance of the Machine learning techniques depends on the quality of the data set. Preprocessing is not only advantageous but it is very necessary and a preliminary work in predicting model. As a result, experiments discovered that preprocessed techniques increased performance for model building. To see the performance preprocessing support vector machine is applied before preprocessing and after preprocessing. Its model accuracy increased from 68.7% to 88.5%.