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Mobile banking technology adaptation model: Revisiting the TAM approach /
Patent Number: 202041046897, Applicant: Dr.G Suresh.
The banking industry now is widely using the internet and mobile applications for rendering services to their customers. Customers now use the technology-enabled banking pervasively as it enables them to make self-controlled transactions€”the data collected through crowd-sourcing method, which considered to be the most relevant. The study found that perceived Trust on m-bankers has a direct effect on m-banking user behavioural intention. -
Forcing Parameters and Propagation Time of Certain Graph Classes
A branch of mathematics that treats vertices and edges of a graph is called graph theory. This theory is used to replicate many real-life situations and physical problems. Graph coloring problem is one of the prominent studies in extremal graph theory. Suppose information has to be communicated in a network or some product has to be marketed to all the people in a cluster then there are two types of cost that needs to be encountered, one the cost of selecting the initial set of vertices in a network and the second is, time it takes to propagate the information through the entire network. The sum of these two parameters is known as the total cost. Optimizing the total cost, which is the sum of vertices and the time it takes to propagate information through the entire network, is a challenging problem for any newlinegraph. Such an interesting and well-studied problem is called the dynamic coloring newlineproblem. The forcing problem also known as infecting or spreading problem is one newlinesuch dynamic coloring problem where two colors- white and black are used. Assume that a fxed set of vertices in a graph G are initially black and that the remaining vertices are considered white vertices. The aim of the forcing process is to obtain, fully black-colored vertices of the graph G by progressively applying the color change law, making sure that at least one white vertex is forced black in every discrete time interval. The forcing index is the minimum cardinality of the forcing sets. Diand#64256;erent types of forcing, such as one forcing, connected one forcing, k-forcing connected k-forcing etc., are defned based on the color change law. The one forcing is the basic form of forcing. A generalised form of one forcing is known as k-forcing where k lt V (G). The time taken by a forcing set to force the entire vertices of the graph G black is the propagation time or iteration index. The subject of study aims to fnd the one forcing number and k-forcing number of diand#64256;erent types of graph classes and derived graph classes. -
Evaluation of Wound Healing Effect of Curcumin Loaded OPL Carbon Nanospheres Embedded Chitosan Membranes
Biowaste-derived carbon biomaterial scaffolds are being used for wound healing and are the focus of interest. Carbon nanospheres derived from oil palm leaves without any catalysts via pyrolysis were loaded with a traditional drug curcumin. The wound healing scaffolds were fabricated on the PP non-woven fabric support using chitosan as the biopolymer matrix. Prepared carbon nanospheres and the scaffolds were characterized using ATR-IR and FESEM techniques. The wettability of scaffolds was examined to ensure the feasible moisture absorption ability, in vitro drug release profile and in vitro antibacterial activity against two strains of bacteria. The in vivo wound healing feature of scaffolds was studied by excision wound model for MRSA infected wound. Measured wound contraction percentage and the bacterial count on wounds at regular time intervals proved that, the scaffold dressed with chitosan and curcumin loaded carbon nanospheres showed an efficient reconstruction of skin through histopathological investigations. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
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Study of the diffuse ultraviolet background radiation at high galactic latitudes
The diffuse background radiation is observed throughout the whole sky and across every wavelength of the electromagnetic spectrum. The study of this background is of great importance as it contains photons coming from a variety of astrophysical environments, traveling over the time scales of a few hundred light years to the age of the universe itself. After the discover of the cosmic microwave background, the diffuse sky in all the other wavelengths was studied with great interest as the could provide useful insights into the formation history of the universe. -
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.