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Your search keyword '"Serge Kokot"' showing total 3 results
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3 results on '"Serge Kokot"'

1. Comparative Studies of Aloe Vera Powder and Alum to Remove Turbidity in Raw Water.

Author

Achint and Deswal, S.

Abstract

Coagulation plays a very crucial role in the treatment of potable water, especially in consumption of drinking water for human kind. Aluminium sulfate is the most common chemical coagulant. Aloe vera is widely acknowledged as a plant with numerous uses. It is useful in medicine, but utilization of Aloe Vera using in various water and waste water treatments can be used as a low cost adsorbent instead of high cost adsorbent. In this study, some natural coagulants have been explained for the coagulation process. Water is an important resource for the survival of life. This study focused on developing an efficient and cost-effective processing technique by using Aloe Vera gel to produce natural coagulant for use in raw water treatment. The turbidity removal efficiency of alum and aloe vera powder are 89.65% at coagulant dose 40mg/l and 77.68% at coagulant dose 150mg/l respectively. The results showed that the alum is more effective than aloe vera but some drawbacks have been seen in using alum, as it induces Alzheimer's disease because of its carcinogenic properties. So aloe vera powder is reduced the Alzheimer's disease. [ABSTRACT FROM AUTHOR]

Published
2022

2. Cognitive Predictive Maintenance Tools for Brain Diseases : Design and Analysis

Author

Shweta Gupta and Shweta Gupta

Subjects
Brain--Diseases--Diagnosis--Data processing, Cognition--Testing
Abstract

This book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson's disease, Alzheimer's disease, and depression. These are needed since there are no proper medical tests available to predict these diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates innovative processes for treating cognitive diseases. Early and exact identification and treatment strategies are incorporated. Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions. Analysis with existing cognitive disease solutions is incorporated and simulations provided. The novelty of the book lies in the accurate prediction of cognitive diseases. Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.

Published
2024

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