VHDL Implementation of Fastest Braun’s Multiplier

Multiplication is an essential arithmetic operation for common Digital Signal Processing (DSP) applications, such as filtering and Fast Fourier Transform (FFT). To achieve high execution speed, parallel array multipliers are widely used. To decrease computational delay and improve resource utilization carry look-ahead adder circuit are use and Braun’s-architectures multiplier is compared with its conventional architectural. DOI: 10.17762/ijritcc2321-8169.15057

Stability constants of some lanthanide mixed ligand complexes

722-725Stability constants of the mixed ligand complexes of some lanthanides, viz., La(III), Pr(III), Nd(III), Gd(III) and Dy(III) with oxydiacetic acid (ODA), tartaric acid (TRA), malic acid (MEA), iminodiacetic acid (IDA) and glycine (GLY) as ligands have been determined pH-metrically at 25 ± 1°C and at an ionic strength of 0.1mol dm-3 (KNO3). A comparison of the values of stability constants of the complexes reveals the order, La(III) K values are negative for all the ternary and quaternary systems; however, DD log K values are significantly positive. These have been explained in terms of intramolecular hydrophobic ligand-ligand interactions. The stability constant data have been used to study the electrostatic factors involved in the formation of these mixed complexes

Development of Nano SiO2 Particles Dispersed Shape Memory Epoxy Composites

Thermo responsive shape memory epoxy based composites are being investigated for their excellent mechanical and thermal properties. In present study the thermosetting epoxy containing different composition of SiO2 nano particles ranging from 1 to 4 wt. % have been prepared through solvent casting route. Developed composites have been studied for grain analysis, FTIR, shape recovery, impact strength and hardness. Addition of 3 wt. % SiO2 improves hardness and impact strength significantly. Average grain size of SiO2 particles increase at higher wt. % of SiO2 in polymer matrix due to agglomeration of nanoparticles

Carbapenem resistance in Escherichia coli and Klebsiella pneumoniae among Indian and international patients in North India

The aim of the study was to find out the carbapenem resistance rate and prevalence of different carbapenemase genes in Klebsiella pneumoniae and Escherichia coli from a North Indian corporate hospital that receives both Indian and international patients. A total of 528 clinical isolates of E. coli and K. pneumoniae were included in the study. All isolates that were found resistant to carbapenems by MIC testing (Vitek II Compact®) were screened for NDM, OXA-48, VIM, and KPC genes by PCR. Sequencing of NDM gene and transmissibility by conjugation assay were checked on 22 randomly selected NDM-positive isolates. One hundred and fifty-six isolates (29.54%) were carbapenem-resistant. The rate of carbapenem resistance was significantly higher in K. pneumoniae as compared to E. coli (53.9% vs. 15.6%; p < 0.05). The NDM gene was found in 34.6% (54/156), OXA-48 in 31.4% (49/156), co-expression of NDM + OXA-48 in 15.3% (24/156) of the carbapenem-resistant isolates. VIM and KPC were absent in all isolates. NDM gene was significantly more prevalent in E. coli than K. pneumoniae (p < 0.05). All the tested isolates formed transconjugants and NDM-5 was the most common variant in both species (15/22). The presence of plasmid-based NDM calls for stricter surveillance measures in our hospital settings

In vivo effects of traditional ayurvedic formulations in Drosophila melanogaster model relate with therapeutic applications

Background: Ayurveda represents the traditional medicine system of India. Since mechanistic details of therapy in terms of current biology are not available in Ayurvedic literature, modern scientific studies are necessary to understand its major concepts and procedures. It is necessary to examine effects of the whole Ayurvedic formulations rather than their “active” components as is done in most current studies. Methods: We tested two different categories of formulations, a Rasayana (Amalaki Rasayana or AR, an herbal derivative) and a Bhasma (Rasa-Sindoor or RS, an organo-metallic derivative of mercury), for effects on longevity, development, fecundity, stress-tolerance, and heterogeneous nuclear ribonucleoprotein (hnRNP) levels of Drosophila melanogaster using at least 200 larvae or flies for each assay. Results: A 0.5% (weight/volume) supplement of AR or RS affected life-history and other physiological traits in distinct ways. While the size of salivary glands, hnRNP levels in larval tissues, and thermotolerance of larvae/adult flies improved significantly following feeding either of the two formulations, the median life span and starvation resistance improved only with AR. Feeding on AR or RS supplemented food improved fecundity differently. Feeding of larvae and adults with AR increased the fecundity while the same with RS had opposite effect. On the contrary, feeding larvae on normal food and adults on AR supplement had no effect on fecundity but a comparable regime of feeding on RS-supplemented food improved fecundity. RS feeding did not cause heavy metal toxicity. Conclusions: The present study with two Ayurvedic formulations reveals formulation-specific effects on several parameters of the fly's life, which seem to generally agree with their recommended human usages in Ayurvedic practices. Thus, Drosophila, with its very rich genetic tools and well-worked-out developmental pathways promises to be a very good model for examining the cellular and molecular bases of the effects of different Ayurvedic formulations

De novo sequencing, assembly, and characterization of Asparagus racemosus transcriptome and analysis of expression profile of genes involved in the flavonoid biosynthesis pathway

Asparagus racemosus is known for its diverse content of secondary metabolites, i.e., saponins, alkaloids, and a wide range of flavonoids. Flavonoids, including phenols and polyphenols, have a significant role in plant physiology and are synthesized in several tissues. Despite the diverse role of flavonoids, genetic information is limited for flavonoid biosynthesis pathways in A. racemosus. The current study explores full-scale functional genomics information of A. racemosus by de novo transcriptome sequencing using Illumina paired-end sequencing technology to elucidate the genes involved in flavonoid biosynthesis pathways. The de novo assembly of high-quality paired-end reads resulted in ∼2.3 million high-quality reads with a pooled transcript of 45,647 comprising ∼76 Mb transcriptome with a mean length (bp) of 1,674 and N50 of 1,868bp. Furthermore, the coding sequence (CDS) prediction analysis from 45,647 pooled transcripts resulted in 45,444 CDS with a total length and mean length of 76,398,686 and 1,674, respectively. The Gene Ontology (GO) analysis resulted in a high number of CDSs assigned to 25,342 GO terms, which grouped the predicted CDS into three main domains, i.e., Biological Process (19,550), Molecular Function (19,873), and Cellular Component (14,577). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database was used to categorize 6,353 CDS into 25 distinct biological pathway categories, in which the majority of mapped CDS were shown to be related to translation (645), followed by signal transduction (532), carbohydrate metabolism (524), folding, sorting, and degradation (522). Among these, only ∼64 and 14 CDSs were found to be involved in the phenylpropanoid and flavonoid biosynthesis pathways, respectively. Quantitative Real-time PCR was used to check the expression profile of fourteen potential flavonoid biosynthesis pathway genes. The qRT-PCR analysis result matches the transcriptome sequence data validating the Illumina sequence results. Moreover, a large number of genes associated with the flavonoids biosynthesis pathway were found to be upregulated under the induction of methyl jasmonate. The present-day study on transcriptome sequence data of A. racemosus can be utilized for characterizing genes involved in flavonoid biosynthesis pathways and for functional genomics analysis in A. racemosus using the reverse genetics approach (CRISPR/Cas9 technology)

Exploring the therapeutic mechanisms of Cassia glauca in diabetes mellitus through network pharmacology, molecular docking and molecular dynamics

Cassia glauca is reported as anti-diabetic medicinal plant and is also used as an ethnomedicine. However, its mode of action as an anti-diabetic agent has not been clearly elucidated. Hence, the present study investigated the probable mechanism of action of C. glauca to manage diabetes mellitus via network pharmacology and molecular docking and simulations studies. The reported bioactives from C. glauca were retrieved from an open-source database, i.e. ChEBI, and their targets were predicted using SwissTargetPrediction. The proteins involved in the pathogenesis of diabetes were identified from the therapeutic target database. The targets involved in diabetes were enriched in STRING, and the pathways involved in diabetes were identified concerning the KEGG. Cytoscape was used to construct the network among bioactives, proteins, and probably regulated pathways, which were analyzed based on edge count. Similarly, molecular docking was performed using the Glide module of the Schrodinger suite against majorly targeted proteins with their respective ligands. Additionally, the drug-likeness score and ADMET profile of the individual bioactives were predicted using MolSoft and admetSAR2.0 respectively. The stability of these complexes were further studied via molecular dynamics simulations and binding energy calculations. Twenty-three bio-actives were retrieved from the ChEBI database in which cassiarin B was predicted to modulate the highest number of proteins involved in diabetes mellitus. Similarly, GO analysis identified the PI3K-Akt signaling pathway to be primarily regulated by modulating the highest number of gene. Likewise, aldose reductase (AKR1B1) was majorly targeted via the bioactives of C. glauca. Similarly, docking study revealed methyl-3,5-di-O-caffeoylquinate (docking score −9.209) to possess the highest binding affinity with AKR1B1. Additionally, drug-likeness prediction identified cassiaoccidentalin B to possess the highest drug-likeness score, i.e. 0.84. The molecular dynamics simulations and the MMGBSA indicate high stability and greater binding energy for the methyl-3,5-di-O-caffeoylquinate (ΔGbind = −40.33 ± 6.69 kcal mol−1) with AKR1B1, thus complementing results from other experiments. The study identified cassiarin B, cassiaoccidentalin B, and cinnamtannin A2 as lead hits for the anti-diabetic activity of C. glauca. Further, the PI3K-Akt and AKR1B1 were traced as majorly modulated pathway and target, respectively