PRMT5 is a type II protein arginine methyltransferase with roles in stem cell biology, reprograming, cancer and neurogenesis. During embryogenesis in the mouse, it was hypothesized that PRMT5 functions with the master germline determinant BLIMP1 to promote primordial germ cell (PGC) specification. Using a Blimp1-Cre germline conditional knockout, we discovered that Prmt5 has no major role in murine germline specification, or the first global epigenetic reprograming event involving depletion of cytosine methylation from DNA and histone H3 lysine 9 dimethylation from chromatin. Instead, we discovered that PRMT5 functions at the conclusion of PGC reprograming I to promote proliferation, survival and expression of the gonadal germline program as marked by MVH. We show that PRMT5 regulates gene expression by promoting methylation of the Sm spliceosomal proteins and significantly altering the spliced repertoire of RNAs in mammalian embryonic cells and primordial cells.
This paper presents an effective solution to detecting traffic signs on road by first classifying the traffic sign images us-ing Convolutional Neural Network (CNN) on the German Traffic Sign Recognition Benchmark (GTSRB)[1] and then detecting the images of Indian Traffic Signs using the Indian Dataset which will be used as testing dataset while building classification model. Therefore this system helps electric cars or self driving cars to recognise the traffic signs efficiently and correctly. The system involves two parts, detection of traffic signs from the environment and classification based on CNN thereby recognising the traffic sign. The classification involves building a CNN model of different filters of dimensions 3 × 3, 5 × 5, 9 × 9, 13 × 13, 15 × 15,19 × 19, 23 × 23, 25 × 25 and 31 ×31 from which the most efficient filter is chosen for further classifying the image detected. The detection involves detecting the traffic sign using YOLO v3-v4 and BLOB detection. Transfer Learning is used for using the trained model for detecting Indian traffic sign images.
In this digital era consumers prefer online shopping to save time. But in their busy schedules it can be time-consuming to choose items as per their requirements. The area of our project is to create a user friendly and easily available application for purchasing mechanism. This application will be easily available on the internet for users to download it and then install it. To start, offer only the most popular grocery items, like milk and bread, and as the business expands, so can your product line. The operating format for the app would be very easy to establish. Customers would simply log on to the app, select the items they wish to purchase, enter payment and shipping information and wait for their groceries. We propose the solution using an application designed on Android Operating System platform. We choose this platform base since Google’s Android is one of the foremost reasons of this mobile revolution.
Waste collection and resource management on time has been always a challenge rather efficient collection of waste by corporation. This project aims to achieve this goal with help of Internet of Things and mobile application and intend to retrieve data from citizens to help us efficiently manage collection triggers of collection vehicle and resources according to need, so that productivity of waste collection increases. Data suggest that in urban as well as rural area management struggles with the efficiency and resource planning as there exist few or no management system which will fit all scenarios. As we know data is new age oil. We intend to generate data that can be useful in various aspects ranging from analysis of public health to resource planning and as proof of concept we will demonstrate how we can efficiently utilize resources i.e vehicle.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.