ncRNA BC1 influences translation in the oocyte

Regulation of translation is essential for the diverse biological processes involved in development. Particularly, mammalian oocyte development requires the precisely controlled translation of maternal transcripts to coordinate meiotic and early embryo progression while transcription is silent. It has been recently reported that key components of mRNA translation control are short and long noncoding RNAs (ncRNAs). We found that the ncRNABrain cytoplasmic 1 (BC1) has a role in the fully grown germinal vesicle (GV) mouse oocyte, where is highly expressed in the cytoplasm associated with polysomes. Overexpression of BC1 in GV oocyte leads to a minute decrease in global translation with a significant reduction of specific mRNA translation via interaction with the Fragile X Mental Retardation Protein (FMRP). BC1 performs a repressive role in translation only in the GV stage oocyte without forming FMRP or Poly(A) granules. In conclusion, BC1 acts as the translational repressor of specific mRNAs in the GV stage via its binding to a subset of mRNAs and physical interaction with FMRP. The results reported herein contribute to the understanding of the molecular mechanisms of developmental events connected with maternal mRNA translation

Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask

In response to the global COVID-19 pandemic, there has been a critical demand for protective measures, with face masks emerging as a primary safeguard. The approach involves a two-fold strategy: first, recognizing the presence of a face by detecting faces, and second, identifying masks on those faces. This project utilizes deep learning to create a model that can detect face masks in real-time streaming video as well as images. Face detection, a facet of object detection, finds applications in diverse fields such as security, biometrics, and law enforcement. Various detector systems worldwide have been developed and implemented, with convolutional neural networks chosen for their superior performance accuracy and speed in object detection. Experimental results attest to the model's excellent accuracy on test data. The primary focus of this research is to enhance security, particularly in sensitive areas. The research paper proposes a rapid image pre-processing method with masks centred on faces. Employing feature extraction and Convolutional Neural Network, the system classifies and detects individuals wearing masks. The research unfolds in three stages: image pre-processing, image cropping, and image classification, collectively contributing to the identification of masked faces. Continuous surveillance through webcams or CCTV cameras ensures constant monitoring, triggering a security alert if a person is detected without a mask.Comment: 8 Pages , 6 figures , 1 Tabl

Influence of silicon carbide mixed used engine oil dielectric fluid on EDM characteristics of AA7075/SiCp/B4Cp hybrid composites

In this study, AA7050/SiC/B _4 C hybrid composites were machined using the Electric Discharge Machining process, used engine oil as the dielectric fluid to obtain wealth from waste. The experiments were conducted by varying Silicon Carbide (SiC) powder concentration, electrode material (copper and brass), discharge current, pulse on time and reinforcement wt%. The Material Removal Rate (MRR), Tool Wear Rate (TWR), Surface Roughness (Ra) and machined surface hardness were recorded as responses. The inclusion of SiC particles increases the MRR because of the bridging effect, whereas the Ra value was improved due to the complete flushing of the dielectric fluid. Owing to the existence of carbon content in used engine oil, black spots were found on the machined topography. The specimens machined with a brass electrode offer better machining performance as compared with those machined with a copper electrode. The results revealed that the MRR, TWR and Ra upsurge with the intensification of discharge current and pulse on time. Owing to the absence of a re-melted layer, composites with lower machined surface hardness have a higher surface finish. The parameters were optimized using the TOPSIS method, and it was found that under used engine oil dielectric medium with a powder concentration of 3 g l ^−1 , parametric value sets of pulse on time 45 s, current 6 A, and machined with brass electrode offers superior machining efficiency

<span style="font-size:15.0pt;mso-bidi-font-size: 12.0pt" lang="EN-GB">Antioxidant potential and oxidative DNA damage preventive activity of unexplored endemic species of <i style="mso-bidi-font-style:normal">Curcuma</i> </span>

133-138<span style="font-size:9.0pt;mso-bidi-font-size: 12.0pt" lang="EN-GB">Free radical scavenging activity, ferrous ion chelating capacity, reducing power and genoprotective effect of the aqueous leaf extracts of four unexplored endemic Curcuma spp. (C. vamana, C. neilgherrensis, C. mutabilis, C. haritha) were found to be dose-dependent and were highest in <i style="mso-bidi-font-style: normal">C. vamana. DNA protection property of the extracts was evaluated against H2O2/UV-induced oxidative damage. DNA-methyl green displacement assay showed that these extracts were free of DNA intercalating compounds. Further, hemolysis assay also showed that the extracts were non-toxic to human erythrocytes. The results highlight C. vamana as a promising source for herbal preparations possessing high antioxidant potential and genoprotective activity. </span

Zinc oxide nanoparticles from leaf extract of Eclipta prostrata: Biosynthesis and characterization towards potential agent against film forming bacteria in metal working fluids

Industrially important metal working fluids are reported to be vulnerable to microbial growth, leading to loss of its working efficiency. The present study is dedicated towards the green synthesis of Zinc Oxide (ZnO) nanoparticles using Eclipta prostrata leaf extract and investigated for antimicrobial activity. Characterization studies using Scanning Electron Microscopy (SEM) and Fourier Transform Infrared spectroscopy (FT-IR) displayed the presence of agglomerated rod shaped ZnO nanoparticles with characteristic peak between 700 and 500 cm−1, respectively. Antimicrobial testing against gram-positive and gram-negative bacteria, as well as fungi, showed the ZnO nanoparticles' effectiveness. Against gram-positive bacteria, inhibition ranged from 0.48 to 1.51 at concentrations of 25 μl to 100 μl. Against gram-negative bacteria, inhibition ranged from 0.82 to 2.02, and against fungi, inhibition ranged from 1.20 to 2.34, all at the highest concentration tested. The results of the study indicate that the ZnO nanoparticles were effective against both fungi and bacteria, more effectively against gram negative bacteria. The results suggest that the green synthesized ZnO nanoparticles from Eclipta prostrata can be exploited to reduce the load of microbial contamination in metal working fluids

Critical review on bioconversion of winery wastes into value-added products

Global increase in the human population and life-style changes have led to enormous development in various industries, including beverage industry. Among the innumerable beverage industries, wineries have received increasing attention and consideration due to various health related benefits and involvement of agricultural materials. Winery industry produces huge quantities of waste materials in the form of solid and liquid wastes. Disposal of these residues (wastes) in the environement is a serious concern and has attracted increasing R&D efforts for their utilization in sustainable manner. Several existing treatments available for winery wastes not environmental-friendly and are even expensive. Usually, combined or hydrid treatment methods have been advocated to achieve the complete utilization of these wastes and among these, bio-based treatment processes have been in much focus for attaining environmental suutaibility in particular. Accordinglt, this review mainly focuses on the application of biorefinery concept for sustainable winery waste management as it is expected that such bioprocesses would be of great impliactions for bioeconomy with furture developments. The review also highlights the advanced techniques for the bioconversion of winery wastes and articulates the major associated challenges

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