IN VITRO ASSESSMENT OF ANTIOXIDANT AND ANTIBACTERIAL ACTIVITY OF GREEN SYNTHESIZED SILVER NANOPARTICLES FROM DIGITARIA RADICOSA LEAVES

Green metallic nanoparticles were creating a new era in the field of green nanotechnology and its applications. Methanolic leaf extract of rare, endemic medicinally important herb, Digitaria radicosa used for the synthesis of silver nanoparticles (SNPs). UV Visible spectrophotometric analysis confirmed the synthesis of green silver nanoparticles indicated by the peak observed at 442nm due to the excitation of surface plasmon resonance in the silver nanoparticles. FT-IR spectroscopic analysis showed the availability of functional groups which may involve in the silver nanoparticles synthesis. X-Ray Diffraction pattern illustrated the characteristic peaks of (111), (122), (231) facets of the centre crystalline and cubic face centred nature of silver nanoparticles. SEM analysis showed that synthesized green silver nanoparticles were of spherical in shape and size of around 90 nm. The free radical scavenging activity of silver nanoparticles were evaluated in vitro by using DPPH scavenging activity, metal chelating activity, reducing power assay and hydrogen peroxide scavenging assays. The antibacterial activity against food borne pathogens such as S. aureus and E .coli were determined by disc diffusion method. The results confirmed that these synthesized green silver nanoparticles identified to have significant in vitro antioxidant potential and good antibacterial activity.Keywords:Green Silver nanoparticles, SNPs, Digitaria radicosa leaf extract, UV Visible spectrophotometry, XRD, FT IR, SEM, in vitro antioxidant assays, antibacterial activity

The influence of non-steroidal anti-inflammatory drugs and paracetamol used for pain control of orthodontic tooth movement: a systematic review

ABSTRACT The present study aimed to perform a systematic literature review to determine if there is a non-steroidal anti-inflammatory drug (NSAID) that interferes less within tooth movement. This research was performed according to the PRISMA statement. Articles were searched in eight electronic databases (PubMed, Scopus, Embase, Web of Science, LILACS, SciELO, Google Scholar, and Open Grey). Only experimental studies on male Wistar rats were selected, which included experiments related to the influence of NSAIDs on orthodontic movement. Studies in animals with pathological conditions, literature review articles, letters to the editor and/or editorials, case reports, abstracts, books, and book chapters were excluded. Each of the steps of this systematic literature review was performed by two examiners independently. Results: the total sample consisted of 505 articles, from which 6 studies were eligible after a qualitative analysis. From the drugs assessed, paracetamol was unanimous for not interfering within orthodontic movement when compared to the control group. However, drugs such as aspirin, ibuprofen, sodium diclofenac, and selective cyclooxygenase-2 inhibitors caused a reduction in tooth movement when compared to the control group. Conclusion: paracetamol could be considered the drug of choice for pain relief because it interferes less within tooth movement

Dynamical complexity of short and noisy time series: Compression-Complexity vs. Shannon entropy

Shannon entropy has been extensively used for characteriz- ing complexity of time series arising from chaotic dynamical systems and stochastic processes such as Markov chains. However, for short and noisy time series, Shannon entropy performs poorly. Complexity measures which are based on lossless compression algorithms are a good substitute in such scenarios. We evaluate the performance of two such Compression-Complexity Measures namely Lempel-Ziv complexity(LZ)andEffort-To-Compress( ETC)onshorttimeseriesfrom chaoticdynamicalsystemsinthepresenceofnoise.Both LZ and ETC outperform Shannon entropy (H) in accurately characterizing the dynamical complexity of such systems. For very short binary sequences (which arise in neuroscience applications), ETC has higher number of distinct complexity values than LZ and H, thus enabling a finer resolution. For two-state ergodic Markov chains, we empirically show that ETC converges to a steady state value faster than LZ. Compression-Complexity measures are promising for applications which involve short and noisy time series

Particle Swarm Optimization based K-Prototype Clustering Algorithm

Abstract: Clustering in data mining is a discovery process that groups a set of data so as to maximize the intr

Acoustical Analysis and Drilling Process Optimization of Camellia Sinensis / Ananas Comosus / GFRP / Epoxy Composites by TOPSIS for Indoor Applications

Camellia Sinensis/Ananas Comosus/GFRP/Epoxy Polymer composites are widely accepted to be a better material for indoor sound damping. It has a series of challenges, like force cuts on the drilling of these composites. The focus is to drill on hybrid laminates by changing the cutting conditions like the speed and feed and the selection of optimum machining process parameters. Nine experimental cycles have been performed, and five various attributes were analyzed, for example, torque, tangential force, thrust force, and also the factor of delamination (Enter & Exit). This study shows a sequential parameter selection for the drilling machining process. Using Multi-attribute optimization, order preference and optimum drilling machining process parameters are selected by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). From the TOPSIS analysis, the best suitable optimum drilling conditions for hybrid laminates are chosen as 600 rpm and 0.02 m/min for cutting speed and feed rate, respectively

DESIGN AND ANALYSIS OF ALLOY WHEEL RIM

ABSTRACT: The project is to design the motor cycle alloy wheel using the PRO-E and Analyzedwith the ANSYS. Ansysis a tool used for the evaluation of systems and structures. It is needed to analyzecomplex structures, where asvery simple ones. There are three processes involved which are preprocessing, analysis and visualization. The chosen material was an Aluminumalloy, magnesium alloy, titanium alloy. The aluminumalloy is better to the conventional steel wheels in strength and durability. It has excellent wear resistance, anticorrosion properties and longer service life as estimated by the stress frequency distribution. The analysis is done with the maximum load can be applied on rim. The rear wheel and front wheel have their own maximum load that can be supported. It was found that the stress of the analysis is still in the range of the yield strength of Aluminumalloy. The Displacement is at the low value. This design is still in the safe condition

Časovno-stroškovna optimizacija produktivnosti dela z modelom na osnovi ekstremalnega – mikrogenetskega algoritma

In a highly competitive manufacturing environment, it is critical to balance production time and cost simultaneously. Numerous attempts have been made to provide various solutions to strike a balance between these factors. However, more effort is still required to address these challenges in terms of labour productivity. This study proposes an integrated substitution and management improvement technique for enhancing the effectiveness of labour resources and equipment. Furthermore, in the context of time-cost optimization with optimal labour productivity, an extremal-micro genetic algorithm (Ex-μGA) model has been proposed. A real-world case from the labour-intensive medium-scale bus body fabricating industry is used to validate the proposed model performance. According to the results, the proposed model can optimize production time and cost by 34 % and 19 %, respectively, while maintaining optimal labour productivity. In addition, this study provides an alternative method for dealing with production parameter imbalances and assisting production managers in developing labour schedules more effectively

Synthesis and Adsorbent Performance of Modified Biochar with Ag/MgO Nanocomposites for Heat Storage Application

Heat storage is a major problem in the world. Many research is going on the heat storage application. This research investigates the novel Ag/MgO/biochar nanocomposites for heat storage. Ag/MgO/biochar nanocomposites were fabricated using solvent-free ball milling techniques. According to several analytical measurements, the Ag/MgO nanoparticles in biochar are uniformly dispersed across the carbon interface. This type of adsorbent material has been characterized by different techniques such as X-ray diffraction pattern analysis (XRD), FTIR analysis, scanning electron microscope (SEM), and transmission electron microscope (TEM) as all indicate the surface morphology and successful ball milling synthesis of Ag/MgO nanocomposites. The UV visible spectroscopy wavelength range of AgNPs and MgONPs is 330 nm and 470 nm, respectively. FTIR analysis revealed that different functional groups of modified biochar nanocomposites such as O-H group are 3728 cm-1 and for C-H bond is 932 cm-1, C-O group is 1420 cm-1, and C=O is 1785 cm-1, respectively. Adsorption tests showed that 1.0 gL-1 dosage with 60% phosphate removal, an ion, and 0.2 gL-1 of dosages that had 85% methylene blue decomposition, a charged synthetic dye, were the lowest absorption levels. This research suggests that ball milling offers the advantages of stabilization and chemical adaptability for customized remediation of different atmospheric contaminants. Ball milling is a facile and feasible process to fabricate carbon-metal-oxide nanomaterials