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Polyvinyl alcohol and epoxy based composites for radiation shielding applications
Extensive use of radioactive isotopes in medical fields, industries, and radiations in research and nuclear reactor establishments has increased the risk of exposure to directly and indirectly ionizing radiations. While charged particles such as beta, proton, alpha and heavy ions are directly ionizing radiations, X-rays and γ-rays are indirectly ionizing radiations. X-rays are often used to sterilize medical equipment and to treat cancer, while X-rays are used to provide static images of parts of the body such as teeth, bones, foreign substances within body, and are also used in industries to find fracture defects. According to the report by National Council on Radiation Protection and Measurements (NCRP, 2009), the use of ionizing radiations in medical field has drastically increased from 15% to 48% during 1980-2006. These radiations having sufficient energy interact with human body causing damage to living tissues. Though beneficial, prolonged exposure to these radiations can cause both somatic as well as genetic damage depending on time, distance and the type of radiation exposure. Hence, precautionary measures against the hazardous effects caused by these radiations have become a major concern in modern times. While exposure to radiations is inevitable, the radiation effects can be reduced by limiting the time of exposure, increasing the distance from radioactive source and using suitable shielding material. -
Polyvinyl alcohol and epoxy based composites for radition shielding applications
The present study has been focused towards designing efficient, non-toxic and cost-effective shielding materials with good mechanical strength for protection against radiations encountered in various environments like aerospace, hospitals, research and nuclear reactor establishments. From this perspective, to impart desired shielding properties, high Z filler dispersed polymer matrices such as Bi/WO3-polyvinyl alcohol (PVA), Ta2O5-epoxy, Ta2O5-Bi2O3-epoxy, micro Bi2O3-epoxy and nano Bi2O3-epoxy with varying filler contents have been synthesized. Structural characterizations were carried out using X-ray diffraction newline(XRD) and Fourier transform infrared (FT-IR) spectroscopy to reveal the interactions newlinebetween filler and polymer matrix. The morphological analyses were performed using newlinescanning electron microscopy (SEM) images. The AC conductivity measurements and newlineoptical studies revealed low conductivity property of the composites. The thermo newlinegravimetric analysis (TGA) and mechanical studies were conducted to ascertain thermal newlinestability and mechanical properties of the composites. With increase in filler concentration mechanical properties of Bi/WO3-PVA composites were found to be weakening. The TGA studies of Bi/WO3-PVA composites showed decrease in peak degradation temperature with increase in filler content. This prompted us to further design epoxy composites as epoxy matrix has good thermal stability and mechanical strength. Compared to neat epoxy, dispersion of varying wt% of Ta2O5 and Bi2O3 into epoxy matrix led to significant improvement in stiffness, storage modulus, glass transition temperature and thermal stability of the composites. Epoxy composites with 5 wt% of Ta2O5 and 30 wt% of Bi2O3 revealed better thermal and tensile properties when compared to same wt% Bi2O3 filled epoxy composites. The synergistic influence of micro and nano Bi2O3 filler on epoxy matrix composites showed similar thermal behaviour. -
Foreign policy of China under Deng Xiaoping and its contemporary relevance
Political leadership plays an important role in foreign policy decision making in general. Studying leadership traits, styles, beliefs and world view is one of the common methods to comprehend political leaders and their influence on foreign policy. When it comes to authoritarian countries like China, its foreign policy decision making has several layers of which political leaders play all the more crucial role. Irrespective of the period – Imperial, Nationalist or Communist – the political leaders of China are guided by its history, philosophy and the then existing domestic and global circumstances, in formulating and implementing the country’s foreign policy. -
Foreign Policy of China a Under Deng Xiaoping and its Contemporary Relevance
Political leadership plays an important role in foreign policy decision making in general. Studying leadership traits, styles, beliefs and world view is one of the common methods to comprehend political leaders and their influence on foreign policy. When it comes to authoritarian countries like China, its foreign policy decision making has several layers of which political leaders play all the more crucial role. Irrespective of the period Imperial, Nationalist or Communist the political leaders of China are guided by its history, philosophy and the then existing domestic and global circumstances, in formulating and implementing the country s foreign policy. Political leadership plays an important role in foreign policy decision making in general. Studying leadership traits, styles, beliefs and world view is one of the common methods to comprehend political leaders and their influence on foreign policy. When it comes to authoritarian countries like China, its foreign policy decision making has several layers of which political leaders play all the more crucial role. Irrespective of the period Imperial, Nationalist or Communist the political leaders of China are guided by its history, philosophy and the then existing domestic and global circumstances, in formulating and implementing the country s foreign policy. The central enquiry of the study is to assess contemporary relevance of Deng s foreign newlinepolicy paradigm. Through field visits and rigorous analysis of primary sources, the newlinestudy establishes that relevance of Deng s policy continues in the present context except on China s pro-activeness towards issues pertaining to its territorial integrity and sovereignty. Using China s case, the study advances the framework of understanding pertaining to the role of political leadership in foreign policy making. The study also makes certain broad policy recommendations to various stakeholders for consideration. -
Battle fatigue of Covid 19 warriors Heal the healers
[No abstract available] -
Work from home in the pandemic era: Loss of mental equilibrium?
[No abstract available] -
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System and methods for visual impaired and speech impaired for digital learning /
Patent Number: 202041040245, Applicant: Dr. Ilango Velchamy.
Disclosed is a learning and assessment system and methods that facilitates the visually and speech impaired learners seamless learning in a digital learning environment. -
Biomarkers of Autistic Study : Biochemical, Genomics, Epigenetics and Cytogenetic Signatures
Autism is a complex disorder characterized by social issues, impaired communication, newlineand repetitive behavior. The prevalence of autism has increased significantly over the past two decades, with an estimated incidence of 1 in 150 children in 2000. Cytogenetic investigations are essential for confirming clinical diagnoses, as the disorder has high phenotypic variability and genetic heterogeneity. A study aims to confirm behavioral phenotypes of autistic subjects newlinein South India using DSM IV and ATEC open questionnaires. The study found that metabolic factors, including hormones, neurotransmitters, and oxidative ions, play crucial roles in the progression of symptoms. The study also revealed the roles of two major causative genes (NRXN1 and CNTNAP2) in a spectrum of genotypes imparting severity and heterogeneity. -
Identity verification in heterogeneous alliance network using blockchain and cryptography techniques /
Patent Number: 202141035794, Applicant: Abolfazl Mehbodniya.
There is a serious issue for the wireless transmission research community when it comes to data transfer under a scalable networking architecture. Data integrity, data quality, and originality must be maintained along the transmission chain. As a result, the relationships between data inside interference are a significant obstacle. Due to insufficient infrastructure for resource allocation and mapping the target address efficiently, in P2P transmission lines, the efficiency of the system is hampered. -
Improving supply chain progress using blockchain technology /
Patent Number: 202141034319, Applicant: Dr. E. Bhuvaneswari.
Security, distributed networks, transparency, and immutability are all attractive aspects of blockchain that may help construct safe and dependable cyber physical systems. Because each use case has its own set of criteria, worries about the scalability, cost-effectiveness, and efficiency of blockchain-based systems have arisen. Because the total cost of ownership of blockchain systems is so costly, a feasibility study for small and medium-sized companies (SMEs) such as PFL is necessary to determine the blockchain's appropriateness for SMEs. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
IOT driven automated water quality monitoring and removal of unpleasant smell from wastewater system for smart city /
Patent Number: 202241015394, Applicant: Geetha V.
Water pollution has become one of the most serious threats in recent years, as drinking water has become contaminated and polluted. Polluted water can cause a variety of diseases in humans and animals, affecting the ecosystem's life cycle. If water pollution is detected early on, appropriate measures can be implemented, and critical situations can be avoided. To ensure a steady supply of pure water, the water's quality should be monitored in real time. With advancements in sensors, communication, and Internet of Things (IoT) technology, smart solutions for monitoring water pollution are becoming increasingly important. -
Processing low-cost feedstock's into high quality biodiesal with a novel chemical multi functional process intensifier method /
Patent Number: 202141060717, Applicant: Ravikumar R.
A method and apparatus for producing a cost-effectively purified biodiesel product from feedstocks are provided. It is possible to utilize both a crude feedstock pretreatment process and a free fatty acid refining process in certain implementations before transesterification and the creation of crude biodiesel and glycerin. When it comes to biodiesel refining, there are several options. As a result of these operations, a pure biodiesel product that meets various commercial requirements may be produced. -
Pharmaceutical Tablet Uniformity Prediction Using Spectroscopy-Based Data Fusion and Machine Learning Approaches
The pharmaceutical industry is highly regulated, and every manufacturer must demonstrate the drug product's quality, safety, and efficacy before market release. Quality control plays a vital role in ensuring drug products' consistency, purity, and potency through rigorous testing of raw materials in the process and the finished stages of manufacturing. Quality risk management and process understanding are critical to maintaining quality throughout manufacturing. Quality by Design (QbD) offers a structured approach, while Process Analytical Technology (PAT) facilitates real-time monitoring to control risk of product quality. Process analyzers, multivariate methods, process control, and continuous improvement tools are part of the PAT framework that enhances process understanding and aids risk mitigation strategies. Near-infrared (NIR) spectroscopy is a commonly used analytical technique in PAT environments for both qualitative and quantitative measurements; these are real-time and non-destructive process analyzers. Chemometrics helps extract information from this chemical data using mathematical and statistical methods. With the advent of Industry 4.0, machine learning models have gained popularity in spectroscopy due to their ability to handle complex, high-dimensional data and adapt to various applications. This research introduces a systematic approach to implementing machine learning models as an alternative to traditional chemical testing in predicting the content uniformity of pharmaceutical tablets. The objective is to improve the quality of data analysis and its predictive performance. This study also outlines the importance of using manufacturing information as stratified variables in predictive modeling and spectroscopic data, or sensor fusion data. To demonstrate the effectiveness of this approach, a real-world NIR dataset developed based on various characteristics such as manufacturing scale, tablet strength, dose proportion, and coating is utilized. This real-world application of the research makes the content more relatable and interesting to the reader. This allows the seamless use of the model across different known environments as the model is trained using sensor data fusion. A comparison of Partial Least Squares regression models and machine learning Neural Network models is evaluated for the model predictability. The work also delves into selecting and optimizing appropriate hyperparameters for a chosen optimal model. It explores the impact of model performance to ensure successful implementation in the production environment and discusses various approaches in monitoring during life cycle management. -
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Job Involvement of secondary school teachers of bangalore in relation to their work ethics organisational culture and leader behaviour of heads of institutions
Education has been the mainstay of our culture, right from the time of the Gurukul to the present day. Even today, the single most important factor in our education system is the teacher and his qualities. The issue of teacher motivation and Job Involvement is an essential factor for classroom newlineeffectiveness and improvement of educational institutions. Though many studies have been conducted in the area of Job Satisfaction of teachers in India, Job Involvement of teachers has received comparatively little attention. Literature review indicates that Work Ethics, Organizational Culture, Leader Behaviour of Heads of Institutions do newlineinfluence Job Involvement along with other variables. In this area, few independent studies are available, but a study related to all these variables is not available. Moreover, most of these studies related to Job Involvement are overseas studies. Hence the investigator felt the need to take up the present study titled Job Involvement of secondary school teachers of Bangalore in relation to their Work Ethics, Organizational newlineCulture and Leader Behaviour of Heads of Institutions. The main objectives of the study were: 1) To find out the relationship between Job Involvement of secondary school teachers their work ethics, organizational culture and Leader Behaviour of Heads of newlineInstitutions. 2) To find out whether differences in background variables like Gender, Subject specialization etc would account for significant difference in Job Involvement. 3) To find out whether any differences in levels of Work Ethics, Organizational Culture, and Leader Behaviour of Heads of Institutions results in any significant difference in Job Involvement of secondary school teachers 4) To find out the interactionxvi effect of the independent variables on Job Involvement 5) To find out newlinewhether the independent variables selected by the researcher are significant predictors of Job Involvement of secondary school teachers. Based on these objectives, researcher formulated 30 hypotheses. -
Smart Phone /
Patent Number: 344690-001, Applicant: Dr.Parvendra Kumar. -
ION imprinted chitosan stabilized biogenic silver nanoparticles for the electrochemical detection AR /
Patent Number: 202241014988, Applicant: Ann Maria C G.
Humans are prone to heavy metals triggering many diseases and rising environmental concerns. Arsenic is one of the most harmful heavy metals which needs constant monitoring and control. A susceptible and selective sensor for arsenic (III) detection in polluted water samples has been developed by using chitosan stabilized silver nanoparticles. The glassy carbon electrode (GCE) is modified with chitosan stabilized silver nanoparticles, which provides sufficient sites for interaction with the analyte. -
Automatic vehicle license plate recognizer for kannada script using tensorflow based canvolutional neural network model /
Patent Number: 201941054190, Applicant: Dr. Arish P.
Automatic Vehicle License Plate Recognizer (AVLPR) is used to read license number of a vehicle by itself without direct human control. It is used to track citizens, movements and misidentiflcation of vehicles. Traditional ALVPR is mounted on police cars or on object like road signs and bridges. The challenging tasks in recognizing the license plate numbers in Kannada script are high contrast foreground or background colour, shape of the license plate, location of the plate in the bottom and middle of the vehicle.