Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Corrosion Inhibition Applications of Natural and Eco-Friendly Corrosion Inhibitors on Steel in the Acidic Environment: An Overview

Abstract: Mild steel suffers serious acidic corrosion, so it should not be utilized in corrosive surroundings unless some type of protective coating is employed. Many organic compounds show sensible anti-corrosive activity. However, the majority of them are exceptionally poisonous to both human beings and the environment. Recently there has been an expanding interest in the further scientific improvement of green corrosion inhibitors. On account of the natural danger, the utilization of chemical inhibitors has been limited. The unsafe impact of most synthetic inhibitors inspired the use of natural extract to stop corrosion. In this review article, there is an overview of corrosion types, the process of corrosion, and reviews of green corrosion inhibitors for mild steel. Various phytochemical constituents present in plant extracts and their corrosion inhibition efficiency in acid solutions are also discussed. Writing overview uncovers that various plant extracts, for example, leaf, root, stem, bark, mash, organic product, have been adequately utilized as reasonable inhibitors for the corrosion of various metals and alloys.

Two simple textures of the magic neutrino mass matrix

Abstract: The Tri-Bimaximal (TBM) mixing predicts a vanishing $\theta_{13}$. This can be attributed to the inherited $\mu-\tau$ symmetry of TBM mixing. We break its $\mu-\tau$ symmetry by adding a complex magic matrix with one variable to TBM neutrino mass matrix with one vanishing eigenvalue. We present two such textures and study their phenomenological implications.

AI-Enabled COVID-19 Outbreak Analysis and Prediction: Indian States vs. Union Territories

Abstract: The COVID-19 disease has already spread to more than 213 countries and territories with infected (confirmed) cases of more than 27 million people throughout the world so far, while the numbers keep increasing In India, this deadly disease was first detected on January 30, 2020, in a student of Kerala who returned from Wuhan Because of India’s high population density, different cultures, and diversity, it is a good idea to have a separate analysis of each state Hence, this paper focuses on the comprehensive analysis of the effect of COVID-19 on Indian states and Union Territories and the development of a regression model to predict the number of discharge patients and deaths in each state The performance of the proposed prediction framework is determined by using three machine learning regression algorithms, namely Polynomial Regression (PR), Decision Tree Regression, and Random Forest (RF) Regression The results show a comparative analysis of the states and union territories having more than 1000 cases, and the trained model is validated by testing it on further dates The performance is evaluated using the RMSE metrics The results show that the Polynomial Regression with an RMSE value of 008, shows the best performance in the prediction of the discharged patients In contrast, in the case of prediction of deaths, Random Forest with a value of 014, shows a better performance than other techniques

Evolving Role of Natural Products from Traditional Medicinal Herbs in the Treatment of Alzheimer's Disease.

Abstract: Alzheimer's disease (AD) is the most prevalent neurodegenerative disease that causes dementia by impairing mental capacity growth and disrupting neurocognitive activity. Despite recent advancements in AD therapy, therapeutic effectiveness has been small, noncurative, and susceptible to drug resistance. The reality that AD's origin remains unknown and that the blood-brain barrier limits treatment effectiveness are two significant impediments to science. Plants are repositories for novel chemical entities, which provide an exciting avenue for Alzheimer's disease studies. Although several herbal remedies are unquestionably efficient, only a small number have been clinically tested for their active chemical constituents and biological activities. Using published data in the literature, we summarized commonly used medicinal plants and herbs and their phyto components for the care and diagnosis of Alzheimer's disease as an alternative therapy. In this, we summarize the main compounds found in 30 different herbal medicines that target neurodegenerative diseases. Using the experimental study of physicochemical properties, we put forward a hypothesis about potential medicinal plants and the management of Alzheimer's disease. The summary analysis demonstrates that conventional herbal medicines produce compounds with physicochemical properties with a high degree of similarities with existing approved medicines.

Chitinases production: A robust enzyme and its industrial applications

Abstract: In nature, distinct number of renewable biopolymers are available which exist as chief starting material for various bioprocesses; chitin being one of them that is degraded by the chitinases. Chiti...