Efficiency of an E-Commerce Web Application with MERN Stack and Modern Tools

The majority of people in today's generation use technology to manage their life and take care of their basic necessities. Many of us in our generation shop for clothing, groceries, and electronics and even fancy items via e-commerce websites.  We created a single chocolatier e-commerce web application utilizing the MERN stack, which consists of the MongoDB database, the Express.JS framework, the React.JS library, and the Node.JS platform. This program has several views for users and administrators, is fully functioning with 8 main functions.   Depending on the interests of the consumer, we can purchase many chocolate types and brands through this website. In this project, we have the option to add and remove, edit, and save various products. For the website, we have created administrative features including login and logout options, admin dashboard, category and brand management for customers, payment method options for carts, review, and promotion management. Customers could search, sort, filter, and add goods to the cart. The customer can pay and purchase the things when the bills are created based on the cart contents. On the other hand, we have used the modern tools which are necessary to improve the functional and non-functional requirements of the application

Real-Time Sign Language Translator

Sign language is so widespread that people with hearing/speech impairments are familiar with it, and others are unfamiliar with it. As a result, there is a significant communication gap between people with speech and hearing impairments and the rest of the general population. A human sign language interpreter is a common solution for bridging this gap. However, because the number of sign language interpreters is small in comparison to the number of deaf and mute people in the world, some deaf and mute people cannot afford to use a human interpreter all of the time when communicating with others. This communication must be automated so that the deaf-mute community does not rely on human interpreters. This paper focuses on developing a system that can translate American Sign Language into words/sentences and vice versa in real-time, with some extra features that will help remove the communication barrier between ordinary and hearing/talking impaired people. The main function is to detect and identify sign language performed by the user. Initially, the system is trained to detect and identify signs using object detection and motion-tracking techniques. A convolutional neural network model was trained on a manually created ASL data set. The identified signs are then translated into English to form grammatically correct sentences. A text-to-text transformer built on an encoder-decoder architecture is used to detect grammatical errors and provide correct sentences. To further improve effectiveness, the system incorporates a feature to translate an image containing English text into American Sign Language. Furthermore, the system consists of a voice-to-sign language translator and a virtual sign keyboard. The methodology has been explained in further sections

Amplification of SOX4 promotes PI3K/Akt signaling in human breast cancer

Purpose: The PI3K/Akt signaling axis contributes to the dysregulation of many dominant features in breast cancer including cell proliferation, survival, metabolism, motility, and genomic instability. While multiple studies have demonstrated that basal-like or triple-negative breast tumors have uniformly high PI3K/Akt activity, genomic alterations that mediate dysregulation of this pathway in this subset of highly aggressive breast tumors remain to be determined. Methods: In this study, we present an integrated genomic analysis based on the use of a PI3K gene expression signature as a framework to analyze orthogonal genomic data from human breast tumors, including RNA expression, DNA copy number alterations, and protein expression. In combination with data from a genome-wide RNA-mediated interference screen in human breast cancer cell lines, we identified essential genetic drivers of PI3K/Akt signaling. Results: Our in silico analyses identified SOX4 amplification as a novel modulator of PI3K/Akt signaling in breast cancers and in vitro studies confirmed its role in regulating Akt phosphorylation. Conclusions: Taken together, these data establish a role for SOX4-mediated PI3K/Akt signaling in breast cancer and suggest that SOX4 may represent a novel therapeutic target and/or biomarker for current PI3K family therapies

Isolation of mutants of Trichoderma harzianum with enhanced b-glucosidase production with ability to inhibit and the plant pathogen Sclerotinia sclerotiorum.

Antagonism of Trichoderma spp. against other microrganisms in general operates by exolysis, breaking down the walls of fungal pathogens. Trichoderma species seem to be the best source of extracellular cellulase that can solubilize highly ordered cellulose. Cell walls of sclerotia of slerotiorum usually contain chitin and b-glucans. Such sclerotia may be vulnerable to attack by many microrganisms. The objective of this research was the isolation of improved strains for b-glucosidase production. The new biotypes obtained from a wild strain of T. harzianum were isolated via UV light in solid medium containing wheat-bran. Two mutants produced significant amounts of extra cellular cellulase activity with b-glucosidase activity. The percentage of reduction of colony of S. sclerotiorum by antifungal activity was observed in vitro. The mutant 15+ presented 73% of inhibition of micelial growth. Hyphae morphology of the mutant strain, studied by SEM, shows that the hyphae tips are extremely branched. The wild-type did not produced any antibiotic activity

Strange nucleon form factors in the perturbative chiral quark model

We apply the perturbative chiral quark model at one loop to calculate the strange form factors of the nucleon. A detailed numerical analysis of the strange magnetic moments and radii of the nucleon, and also the momentum dependence of the form factors is presented.Comment: 18 pages, 6 figure

Monte Carlo Comparisons to a Cryogenic Dark Matter Search Detector with low Transition-Edge-Sensor Transition Temperature

We present results on phonon quasidiffusion and Transition Edge Sensor (TES) studies in a large, 3 inch diameter, 1 inch thick [100] high purity germanium crystal, cooled to 50 mK in the vacuum of a dilution refrigerator, and exposed with 59.5 keV gamma-rays from an Am-241 calibration source. We compare calibration data with results from a Monte Carlo which includes phonon quasidiffusion and the generation of phonons created by charge carriers as they are drifted across the detector by ionization readout channels. The phonon energy is then parsed into TES based phonon readout channels and input into a TES simulator