Synthesis, characterization and photocatalytic dye degradation studies of novel defect pyrochlore, KHf0.5Te1.5O6

We report the solid-state synthesis of KHf0.5Te1.5O6 (KHTO), its characterization and employment as photocatalyst for methylene blue and methyl violet degradations in aqueous solution. The material was subjected to X-ray Diffraction (XRD), Field emission-scanning electron microscopy (FE-SEM), Energy dispersive spectroscopy (EDS), Fourier transform infrared spectroscopy (FT-IR), UV-vis diffuse reflectance spectroscopy (UV-vis DRS), N2 adsorption/desorption and XPS measurements. The material was crystallized in a cubic lattice with the   space group. The bandgap energy of the KHTO is 2.60 eV. The photocatalytic methylene blue (MB) and methyl violet (MV) dyes degradation efficiency of KHTO was investigated under the visible light irradiation. The mechanistic dye degradation pathway of MB was studied. The radical quenching experiments reveal that the short-lived species O2●-, OH●, and h+ actively participate in the degradation of MV and MB dyes. An additional terephthalic acid experiment was carried out to establish the participation of OH● radicals in the dye degradation process. The stability and reusability of the KHTO catalyst were also studied

Synthesis, characterization and photocatalytic dye degradation studies of novel defect pyrochlore, KHf0.5Te1.5O6

1092-1099In this study, KHf0.5Te1.5O6 (KHTO) semiconductor has been synthesized by the solid-state method. The synthesized material is characterized using X-ray diffraction, Fourier transform infrared spectroscopy, UV-visible diffuse reflectance spectroscopy, field emission-scanning electron microscopy, energy dispersive spectroscopy, X-ray photoelectron spectroscopy and N2 adsorption/desorption measurements. The material is found to be crystallized in a cubic lattice with the space group Fdm . The bandgap energy of the KHTO is 2.6 eV. The photocatalytic activity of KHTO has been investigated by measuring the degradation of methylene blue (MB) and methyl violet (MV) dyes under the visible light irradiation. The mechanistic dye degradation pathway of MB has been studied. The radical quenching experiments reveal that the short-lived species O2●-, OH●, and h+ actively participate in the degradation of MB and MV dyes. An additional terephthalic acid experiment has been carried out to establish the participation of OH● radicals in the dye degradation. The stability and reusability of the KHTO catalyst are also studied

Predictors of mortality among hospitalized COVID-19 patients and risk score formulation for prioritizing tertiary care—An experience from South India

BACKGROUND: We retrospectively data-mined the case records of Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmed COVID-19 patients hospitalized to a tertiary care centre to derive mortality predictors and formulate a risk score, for prioritizing admission. METHODS AND FINDINGS: Data on clinical manifestations, comorbidities, vital signs, and basic lab investigations collected as part of routine medical management at admission to a COVID-19 tertiary care centre in Chengalpattu, South India between May and November 2020 were retrospectively analysed to ascertain predictors of mortality in the univariate analysis using their relative difference in distribution among ‘survivors’ and ‘non-survivors’. The regression coefficients of those factors remaining significant in the multivariable logistic regression were utilised for risk score formulation and validated in 1000 bootstrap datasets. Among 746 COVID-19 patients hospitalised [487 “survivors” and 259 “non-survivors” (deaths)], there was a slight male predilection [62.5%, (466/746)], with a higher mortality rate observed among 40–70 years age group [59.1%, (441/746)] and highest among diabetic patients with elevated urea levels [65.4% (68/104)]. The adjusted odds ratios of factors [OR (95% CI)] significant in the multivariable logistic regression were SaO(2)3; 3.01 (1.61–5.83), Age ≥50 years;2.52 (1.45–4.43), Pulse Rate ≥100/min: 2.02 (1.19–3.47) and coexisting Diabetes Mellitus; 1.73 (1.02–2.95) with hypertension and gender not retaining their significance. The individual risk scores for SaO(2)3–11, Age ≥50 years-9, Pulse Rate ≥100/min-7 and coexisting diabetes mellitus-6, acronymed collectively as ‘OUR-ARDs score’ showed that the sum of scores ≥ 25 predicted mortality with a sensitivity-90%, specificity-64% and AUC of 0.85. CONCLUSIONS: The ‘OUR ARDs’ risk score, derived from easily assessable factors predicting mortality, offered a tangible solution for prioritizing admission to COVID-19 tertiary care centre, that enhanced patient care but without unduly straining the health system

MULTIPLE-OBJECT MULTI-FEATURE FAST COMPRESSIVE TRACKING

International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 10, Issue 2, March-April 2019, pp. 896-914, Article ID: IJARET_10_02_089 Available online at https://iaeme.com/Home/issue/IJARET?Volume=10&Issue=2 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: https://doi.org/10.17605/OSF.IO/32XBP © IAEME Publication Scopus Indexed MULTIPLE-OBJECT MULTI-FEATURE FAST COMPRESSIVE TRACKING S. V. Suresh Babu Matla Research Scholar, Department of Computer Science, School of Engineering and Technology, Pondicherry University, India S. Ravi Associate Professor, Department of Computer Science, School of Engineering and Technology, Pondicherry University, India J. Vaishnavi Research Scholar, Department of Computer Science, School of Engineering and Technology, Pondicherry University, India A. Anbarasi Research Scholar, Department of Computer Science, School of Engineering and Technology, Pondicherry University, India Key words: Object detection, multiple object detection, kalman filtering, multiple-feature extraction sparse representation model, SVM Cite this Article: S. V. Suresh Babu Matla, S. Ravi, J. Vaishnavi and A. Anbarasi, Multiple-object multi-feature fast compressive tracking, International Journal of Advanced Research in Engineering and Technology (IJARET), 2019, 10(2), pp. 896-914. DOI: https://doi.org/10.17605/OSF.IO/32XBP https://iaeme.com/MasterAdmin/Journal_uploads/IJARET/VOLUME_10_ISSUE_2/IJARET_10_02_089.pd

PARTICLE SWARM OPTIMIZATION BASED FAST COMPRESSIVE TRACKER FOR DETECTING COMPLETE OCCLUSION

Abstract Object tracking has become a wide spread technology in both applications and scientific domains. Many object tracking algorithms has been proposed, but many challenging factors such as occlusion, pose variation, illumination change were predominant in those object trackers. In order to overcome these issues, a novel fast compressive tracking techniques is proposed, in which the object features are extracted and compressed to a sparse-random matrix, which preserves the originality of the image. Naïve Bayes Classier is employed for detecting and updating the extracted features, thereby reducing the computational complexity. But, the compressed tracking methodology failed to detect objects with missing frames and complete occlusion. In order to address this issue, a novel fast compressive tracking - particle swarm optimization (FCT-PSO) model is proposed, which will be able to detect objects from suddenly missing frames and with complete occlusion. A sparse random matrix is used to extract the features from the sample image to a compressed domain. Taking the extracted feature from the sample image, FCT-PSO methodology determines the next optimal frame position using the best frame position in the past, thus paving for object detection under complete occlusion and missed frames. Cite this Article: S. V. Suresh Babu Matla, S. Ravi, J. Vaishnavi and A. Anbarasi, Particle Swarm Optimization based Fast Compressive Tracker for Detecting Complete Occlusion, International Journal of Advanced Research in Engineering and Technology (IJARET), 2019, 10(6), pp. 755-77

Comparative Evaluation of Efficacy of Herbal and Chlorhexidine Mouthwash on Gingival Health

Introduction: Chlorhexidine (CHX) is a chemical mouthwash that has been considered the gold standard, but has its drawbacks. When used for a longer duration, it produces taste alteration and staining on the tooth surfaces. Nowadays, herbal extracts from plants have been widely used as they possess anti-inflammatory, antimicrobial and analgesic actions. Material and Methods: A group of 45 healthy subjects in the age group of 19–35 years were selected and randomly divided into three groups, Group A - Himalaya complete care mouthwash, Group B - CHX mouthwash, Group C - Distilled water as a control group. Gingival index and plaque index, OHI-s index, and Ainamo and Bay index for bleeding were recorded. Subjects received complete supragingival scaling at baseline and were instructed to use 10 ml of mouthwashes twice a day in their group. Variables were again recorded on the seventh and 14th day after the use of mouthwashes, and data obtained was subjected to statistical analysis. Post hoc and ANOVA tests were used for statistical analysis. Results: It was found that both CHX and herbal mouthwash proved to be more effective than placebo in maintaining gingival health. There was no significant difference between the test group on gingival health. Conclusion: Herbal mouthwash is an effective alternative to CHX mouthwash, in the light of the reported side effects of CHX mouthwash