Early Detection of Cervical Cancer using Machine Learning Classifiers for Improved Diagnosis in Underserved Regions
Benign; Cervical Cancer; Logistic Regression; Malignant; ML; Random Forest
One of the incurable diseases that affect women is cervical cancer. It is brought on by a protracted infection of the skin and the vaginal mucous membrane cells. The Human Papilloma Virus (HPV), is the main factor causing aberrant cell proliferation in the area around the cervix. There are no symptoms present when the illness first appears. Early detection of this malignancy may be used to prevent death. People in less developed countries cannot afford to periodically examine themselves due to a lack of awareness, poor medical infrastructure, and expensive medication. The EDA technique is applied to examine the data and understand its characteristics. Machine Learning algorithm has been used to diagnose cervical cancer. In order to spot the existence of cervical cancer, five machine learning classifiers are utilized, the algorithms to begin earlier. The Logistic Regression classifier's results validate the correct stage prediction. 2023 IEEE.
Santhiya S.; Mapari S.; Abinaya N.; Jayadharshini P.; Priyanka S.; Krishnasamy L.
2023 International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2023, pp. 582-587.
Institute of Electrical and Electronics Engineers Inc.
Santhiya S., Kongu Engineering College, Department of Artificial Intelligence, TamilNadu, Erode, India; Mapari S., Symbiosis International (Deemed University), Symbiosis Institute of Computer Studies and Research (SICSR), Pune, India; Abinaya N., Kongu Engineering College, Department of Artificial Intelligence, TamilNadu, Erode, India; Jayadharshini P., Kongu Engineering College, Department of Artificial Intelligence, TamilNadu, Erode, India; Priyanka S., Kongu Engineering College, Department of Artificial Intelligence, TamilNadu, Erode, India; Krishnasamy L., Christ (Deemed to Be) University, School of Engineering and Technology, Department of Computer Science and Engineering, Bengaluru, India
Biodegradable Organic Polymers for Environmental Protection and Remediation
Agro-waste; Biopolymers; Cellulose; Chitin; Chitosan; Keratin; Levan; Polyhydroxyalkanoates; Remediation; Starch
As the era of urbanization and industrialization progressed, non-biodegradable polymers became a severe threat to the environment and the world's rapidly growing population. These synthetic polymers possess flexible applications and cost effectiveness which makes their usage more feasible and convenient. Today they are used from simple packaging to critical biomedical tools. Although these polymers possess many merits, all come to halt when it comes to biodegradability. The inherent mechanisms in nature are unable to degrade and decompose these synthetic polymers leading to their accumulation and persistence in nature for decades causing calamitous effects. In search of solutions for the adverse effects caused by synthetic polymers, the world turned toward biologically synthesized biodegradable organic polymers. These biopolymers have a diverse set of physical and chemical characteristics that can be easily manipulated, allowing for a wide range of applications. Biopolymers like polyhydroxyalkanoates and levan have adaptable qualities that resemble those of synthetic plastics which makes them a promising alternative to synthetic plastics. However, the setback in the large-scale usage of biopolymers is their high cost of production and commercialization. The biopolymers are broadly classified into three major classes based on their origin: plant-based biopolymers (cellulose, starch), animal-based biopolymers (chitin, chitosan, keratin), and microbial biopolymers (polyhydroxyalkanoates, levan). The extraction or synthesis of these biopolymers from their biological sources varies significantly from each other; however, in order to bring out the sustainable production, these polymers should be produced by coupling with waste valorization approaches. The waste materials from plants and animals, particularly agro-industrial wastes, can be used as inexpensive substrates for the commercial manufacture of these crucial biopolymers, thereby reducing the accumulation in the environment. Another field of biopolymer usage is in remediation of pollutants. Many biopolymers are currently being used in the active removal of heavy metal, dye, and other similar pollutants. The numerous physical, chemical, and biological processes for extraction or synthesis of industrially valuable biopolymers from the waste raw materials are discussed in this chapter, along with their application in remediation of pollutants and environmental protection. 2025 WILEY-VCH GmbH, Boschstra 12, 69469 Weinheim, Germany. All rights reserved.
Santhosh A.S.; Suresh S.; Umesh M.; Stanly L.M.; Grigary S.; James N.
Organic Polymers in Energy-Environmental Applications, pp. 381-402.
Santhosh A.S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Suresh S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Umesh M., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Stanly L.M., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Grigary S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; James N., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India
Valorization of waste chilli stalks (Capsicum annuum) as a sustainable substrate for cellulose extraction: insights into its thermomechanical, film forming and biodegradation properties
Biodegradation; Biopolymer; Cellulose; Cellulose sheet; Chilli waste; Valorization
Rising global population accelerates food waste generation, thereby creating a crisis in food waste management. A solution involves deriving value-added products like cellulose biopolymer from food waste. Chilli stalk wastes are one such food waste which are generated in large quantities and are unsuitable for field use or incineration due to health and environmental challenges. A greener alternative is extracting cellulose biopolymer from chilli stalk waste. The extraction of cellulose biopolymer from chilli stalk results in a renewable, biodegradable and economically efficient biomaterial with a broad range of applications. The extraction process involving alkali treatment (NaOH) and bleaching (alkaline H2O2), resulted in a yield of 29.85% cellulose biopolymer. The extracted cellulose was subjected to quantification and functional property analysis followed by characterization (FTIR, XRD, TGA, DSC and SEM) to analyse functional groups, crystallinity, thermal properties and surface morphology. Functional property analysis resulted in higher values when compared with commercial cellulose. The characterization techniques confirmed the effective removal of impurities such as lignin, hemicellulose and pectin by the chemical treatments. Cellulose sheets, fabricated using solvent casting, exhibited exceptional biodegradability (85.36%) within 20days, surpassing conventional food packaging materials, commercial food packaging paper (15.95 0.12% [%w/w]) and plastic sheets (7.89 0.33% [%w/w]) over the same time period. The novelty of this research lies in the innovative valorization of chilli stalk waste, which often remains unused in large quantities globally. This study introduces a cost-effective method to convert it into a value-added, highly biodegradable biopolymer. The resulting cellulose sheets provide an eco-friendly substitute for traditional food packaging materials. 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Springer Science and Business Media Deutschland GmbH
Santhosh A.S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India
A Strategic Review on Use of Polyhydroxyalkanoates as an Immunostimulant in Aquaculture
Agricultural waste; Anti-biofilm activity; Aquaculture; Aquafeed additive; Immunostimulant; Polyhydroxyalkanoates
Background and Objective: Increasing concerns over the use of antibiotics in aquaculture have emerged researchers to focus on short chain fatty acids and other biocompatible molecules as alternatives for disease prophylaxis and treatment. Polyhydroxyalkanoates well studied as biopolymeric materials for using in packaging and biomedicine were not focused much for their abilities to act as antimicrobial agents in aquaculture until recent years. Application studies of polyhydroxyalkanoates as aquafeed additives have highlighted their promising roles as ecofriendly alternatives for commercial antibiotics with strong immunomodulatory effects in fish-es and shrimps. The major aim of this review was to explore up-to-date scientific research studies on use of polyhydroxyalkanoates as aquafeed additives and their immunomodulatory effects. Results and Conclusion: Up-to-date, limited scientific literatures have been published on the use of polyhydroxyalkanoates and their copolymers as alternatives to antibiotics in aquaculture. This research field includes a great scope of development due to the promising immu-nomodulatory and antimicrobial activity of polyhydroxyalkanoates against common pathogens in aquaculture, as reported in literatures. Although several hypothesis and research data for explaining the mechanisms behind their immunostimulatory effects were suggested by various researchers, genetic and molecular bases underlying these phenomena are yet to be explored. Further research and development in this area can introduce these biopolymers as the most promising eco-friendly alternatives for antibiotics in aquaculture. Conflict of interest: The authors declare no conflict of interest. 2021. All Rights Reserved.
Applied Food Biotechnology, Vol-8, No. 1, pp. 1-18.
National Nutrition and Food Technology Research Institute
https://doi.org/10.22037/afb.v8i1.31255 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115107342&doi=10.22037%2fafb.v8i1.31255&partnerID=40&md5=c567bbadba14837d18fb352a1de2db85
Santhosh A.S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, Karnataka, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, Karnataka, India
Earliness of SME internationalizationand performance: Analyzing the role of CEO attributes
CEO attributes; Earliness of SME internationalization; Emerging economy; Performance; SMEs
Purpose: The purpose of this paper is to understand the mediating effects of Chief Executive officer (CEO) attributes on the earliness of internationalization and performance in context of Indian small and medium enterprises (SMEs). Design/methodology/approach: The proposed framework is tested through analysis of a sample of 102 internationalized SMEs of the engineering industry in the Bangalore city region of India. Findings: Results highlight that CEOs age and educational background moderates between early internationalization and performance in the Indian SME context. Practical implications: Overall results facilitate in leveraging the decision-makers capabilities to successfully formulate and strategize their international marketing efforts to achieve higher performance. Originality/value: The study enriches the importance of CEO attributes in influencing the early internationalization and degree of internationalization in the context of an emerging economy where studies are limited. 2019, Emerald Publishing Limited.
Journal of Entrepreneurship in Emerging Economies, Vol-11, No. 4, pp. 537-549.
https://doi.org/10.1108/JEEE-11-2018-0132 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068191876&doi=10.1108%2fJEEE-11-2018-0132&partnerID=40&md5=a1f91e3195686a427361be2ae4ec7539
Santhosh C., Department of Economics, Christ University, Bangalore, India
Impact of determinants on early internationalization: An exploratory study of Indian engineering SMEs
Determinants; Early internationalization; Emerging economy; Engineering industry; Exploratory study; SMEs
Purpose: The purpose of this paper is to analyze the influence of determinants on early internationalization in the context of an emerging economy, i.e. India. Design/methodology/approach: The study is based on an ex post facto exploratory research using primary data collected from a sample of 102 exporting small- and medium-sized enterprises (SMEs) in Bangalore. Findings: The overall results reveal that it is the proactive entrepreneurs and their previous experience that determine the early internationalization of SMEs. Further, competitive constraint was a major obstacle to enter the international market at an early age for late internationalized SMEs. Practical implications: The policy initiatives should aim to develop the international orientation of the entrepreneurs in the firm as a precursor for the formulation and subsequent implementation of internationalization strategies. Originality/value: Although studies have been conducted on determinants and early internationalization, these are confined to a few dimensions, and none of the studies have looked into the issues affecting the early internationalization holistically and with respect to SMEs in India. 2019, Emerald Publishing Limited.
Journal of Engineering, Design and Technology, Vol-17, No. 5, pp. 1018-1034.
https://doi.org/10.1108/JEDT-01-2019-0001 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067067904&doi=10.1108%2fJEDT-01-2019-0001&partnerID=40&md5=c7feaacc46cd4ba6067483abb5d7c2ee
Market Openness and Price Volatility: Evidence from Major Cash Crops of India
JIM Quest: Journal of Management and Technology, Vol-8 (2), pp. 01-10. ISSN-0975-6280
JIM Quest: Journal of Management and Technology
Twin deficit hypothesis: Some recent evidence from India
ARDL; Autoregressive distributed lag; Budget deficit; Cointegration; India; Trade deficit; Twin deficits
The purpose of this study is to examine the relationship between budget deficit and trade deficit commonly known as 'twin deficits hypotheses' in Indian economy. We used time series data for the period of 1970 to 2013. The empirical results of this study follow the autoregressive distributed lag (ARDL) cointegration technique for long run and short run estimates and error correction mechanism (ECM). In this study, we check the hypotheses that trade deficit is the determinant of budget deficit with its current values or the lag values. The results of the ARDL model confirm that there is the positive and significant relationship between trade deficit and budget deficit. So twin deficits hypothesis is valid for India. The ARDL results of the short run confirm the hypothesis that trade deficit can determine the budget deficit in the case of India. The results of the long run estimates are also significant. The error correction specification is used to find evidence of long-run causality running from budget deficit to trade deficit and vice versa. The empirical results suggest that trade deficit can determine the budget deficit in case of India. 2016 Inderscience Enterprises Ltd.
Global Business and Economics Review, Vol-18, No. 45750, pp. 487-495.
https://doi.org/10.1504/GBER.2016.076283 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969253505&doi=10.1504%2fGBER.2016.076283&partnerID=40&md5=b148c1c32e22a018ac2b788ab97fa0d7
Santhosh Kumar P.K., Department of Economics, Christ University, Bangalore, 560076, India
Highly mixed high-energy d-orbital states enhance oxygen evolution reactions in spinel catalysts
Anion modification; Electronic structure modulation; Oxygen evolution reaction; Spinel catalyst; Trigonal distortion
Design, synthesis, and engineering of electrocatalysts for the oxygen evolution reaction (OER) are essential for attaining desirable electrocatalytic performance towards practical implementation. Emerging spinel-type OER catalysts have not reached the desirable activity and durability, thus demanding critical research to advance the field. To achieve enhanced OER performance for spinel-type OER catalysts, we present an efficient strategy of electronic structure modulation of central metal atoms. Modulation of the electronic properties of the Zn and Co atoms through the counter anionic components (O, S, and Se) regulates the adsorption of oxygen intermediates and thus enhances OER activity, which is systematically demonstrated using Density Functional Theory (DFT) calculation. Although the zinc cobalt selenide catalyst showed the less pronounced trigonal distortion, the mixing of eg orbitals with selenium accounts for the experimentally observed enhancement in OER activity. The result is, in contrast to the benchmark catalyst made of RuO2, ZnCo2Se4@rGO demonstrated lower OER overpotential (?10 = 302 mV) and Tafel slope (58 mV dec?1) as well as greater durability at 10 mA cm?2 for 50 h. The implementation of this strategy in several spinel-type catalysts could improve their electrocatalytic performance. 2023 Elsevier B.V.
Santhosh Kumar R.; Muthu Austeria P.; Sagaya Selvam Neethinathan C.; Ramakrishnan S.; Sekar K.; Kim A.R.; Kim D.H.; Yoo P.J.; Yoo D.J.
https://doi.org/10.1016/j.apsusc.2023.158469 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172364796&doi=10.1016%2fj.apsusc.2023.158469&partnerID=40&md5=9f6a18358243b99d1bc91acb5f6ab451
Santhosh Kumar R., Department of Energy Storage/Conversion Engineering of Graduate School (BK21 FOUR), Hydrogen and Fuel Cell Research Center, Jeonbuk National University, Jeollabuk-do, Jeonju, 54896, South Korea; Muthu Austeria P., Division of Science Education, Jeonbuk National University, 54896 Jeonbuk, Jeonju, South Korea; Sagaya Selvam Neethinathan C., School of Chemical Engineering and SKKU Institute of Energy Science and Technology (SIEST), Sungkyunkwan University (SKKU), Suwon, 16419, South Korea, Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Ramakrishnan S., Department of Energy Storage/Conversion Engineering of Graduate School (BK21 FOUR), Hydrogen and Fuel Cell Research Center, Jeonbuk National University, Jeollabuk-do, Jeonju, 54896, South Korea, School of Engineering, Newcastle University, Merz Court, Newcastle Upon Tyne, NE17RU, United Kingdom; Sekar K., Department of Earth Resources Engineering, Kyushu University, Fukuoka, 819-0395, Japan, Sustainable Energy and Environmental Research Laboratory, Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603 203, India; Kim A.R., Department of Energy Storage/Conversion Engineering of Graduate School (BK21 FOUR), Hydrogen and Fuel Cell Research Center, Jeonbuk National University, Jeollabuk-do, Jeonju, 54896, South Korea, Department of Life Science, Jeonbuk National University, Jeollabuk-do, Jeonju, 54896, South Korea; Kim D.H., Division of Science Education, Jeonbuk National University, 54896 Jeonbuk, Jeonju, South Korea; Yoo P.J., School of Chemical Engineering and SKKU Institute of Energy Science and Technology (SIEST), Sungkyunkwan University (SKKU), Suwon, 16419, South Korea; Yoo D.J., Department of Energy Storage/Conversion Engineering of Graduate School (BK21 FOUR), Hydrogen and Fuel Cell Research Center, Jeonbuk National University, Jeollabuk-do, Jeonju, 54896, South Korea, Department of Life Science, Jeonbuk National University, Jeollabuk-do, Jeonju, 54896, South Korea
Stalling angle predictions of symmetric aero foil by flow analysis
aerofoils; angle; NACA 0012; predictions; stalling; symmetric
The computational examination of the 2D subsonic stream over a National Advisory Committee for Aeronautics (NACA) 0012 airfoil at different approaches is done in an ANSYS R14.5 software. The stream elements are acquired by computing the fluid stream conditions of coherence and energy, momentum conservation with the K- model. The present investigation is fundamentally significant, ascribed to the way that the considered aero foil creates lift by moving rapidly through the air, and the examination of the flow over aero foil helps in execution assessment of the flight of the aero foil. In the current work, for a given stream speed with the aero foil set at an approach to the airstream, a pressure gradient among upper and lower wing surfaces exists, which involves the generation of lift, and the lift generated increases up to a certain angle of attack, beyond which the lift decreases, this particular point gives rise to stalling. The distinction in these pressing factor is very important to understand the effect of angle of attack on the lift of the wing. Consequently lift is a significant aspect to be evaluated for stalling angle predictions. The steps associated with assessment of the lift includes forecast of stalling angle at different flow conditions over a symmetric aero foil by modeling the NACA0012 aero foil using the co-ordinates provided by the NACA database and henceforth bringing in it to the ANSYS work bench for meshing, preprocessing followed by the interaction of post processing for different angles of attack. 2022 Author(s).
Santhosh N.; Harish H.V.; Sunil G.S.; Huddar V.B.; Gowda A.C.; Manjunath N.; Afzal A.; Razzak A.; Praveena B.A.
https://doi.org/10.1063/5.0076724 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123981904&doi=10.1063%2f5.0076724&partnerID=40&md5=69c27c5212ec62d6df60a3cdec29e3e0
Santhosh N., Department Of Mechanical Engineering, Mvj College Of Engineering, Near Itpb, Whitefield, Karnataka, Bangalore, 560 067, India; Harish H.V., Department Of Mechanical Engineering, Debre Markos University, Ethiopia; Sunil G.S., Mercedes Benz Research And Development India, Epip Zone, Whitefield, Karnataka, Bangalore, India; Huddar V.B., Department Of Mechanical Engineering, Mvj College Of Engineering, Near Itpb, Whitefield, Karnataka, Bangalore, 560 067, India; Gowda A.C., Department Of Pg Studies, Visvesvaraya Technological University, Muddenahalli, Karnataka, Chikkaballapur, India; Manjunath N., Sciences And Humanities (Engineering), School Of Engineering And Technology, Christ (Deemed To Be University), India; Afzal A., Department Of Mechanical Engineering, P.A. College Of Engineering, Mangalore, Affiliated To Visvesvaraya Technological University, Karnataka, Belagavi, India; Razzak A., Department Of Mechanical Engineering, P.A. College Of Engineering, Mangalore, Affiliated To Visvesvaraya Technological University, Karnataka, Belagavi, India; Praveena B.A., Department Of Mechanical Engineering, Nitte Meenakshi Institute Of Technology, Yelahanka, Karnataka, Bangalore, India
Turbulent Flow in Forced Convection Heat Transfer-Numerical Validation
Correlation; Forced Convection; Heat transfer; Numerical validation; Wind tunnel
Forced convective heat transfer of airflow through circular pipe with constant heat input and different free stream velocities is numerically validated. The significance of the present work is that the suction flow has been employed in the forced convection set up domain kept in the wind tunnel. From first law of thermodynamics and applying the energy balance equation, experimental heat transfer coefficient is determined. Further correlations are used to validate the experimental results. Although correlations provide reasonable estimates from the point of feasibility and accuracy, computational methods are used to estimate the convective heat transfer coefficient. Hence in this paper experimental, theoretical and computational analysis is carried out. The results reveal that the numerical validation is an effective tool from the point of feasibility and accuracy to determine the convective heat transfer coefficient. 2022. MechAero Foundation for Technical Research & Education Excellence.
Santhosh N.; Harish H.V.; Sunil G.S.; Manjunath N.; Manjunath K.; Gowda A.C.; Huddar V.B.
International Journal of Vehicle Structures and Systems, Vol-14, No. 1, pp. 18-21.
MechAero Found. for Techn. Res. and Educ. Excellence
https://doi.org/10.4273/ijvss.14.1.05 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124154006&doi=10.4273%2fijvss.14.1.05&partnerID=40&md5=164bd2833b9aeeb3e0545046a415e368
Santhosh N., Dept. of Mech. Engg, MVJ College of Engg, Karnataka, Bangalore, India; Harish H.V., Dept. of Mech. Engg, Debre Markos University, Ethiopia; Sunil G.S., Mercedes Benz Research and Development India, Karnataka, Bangalore, India; Manjunath N., Dept. of Sci. and Humanities Engg, School of Engg. and Tech, CHRIST (Deemed to be University), Karnataka, India; Manjunath K., Dept. of Mech. Engg, Govt. Engg. College, Karnataka, Hassan, India; Gowda A.C., Dept. of PG Studies, Visvesvaraya Tech. Univ, Chickaballapura, Muddenahalli, India; Huddar V.B., Dept. of Mech. Engg, MVJ College of Engg, Karnataka, Bangalore, India
Predicting Coal Prices: A Machine Learning Approach for Informed Decision-Making
ARIMA; Coal Price; Forecasting; Prediction; Random forest
This research addresses the critical need for accurate coal price prediction in the dynamic global market, crucial for informing strategic decisions and investment choices. With coal playing a vital role in the world energy mix, its price fluctuations impact industries and economies worldwide. The study employs advanced machine learning models, including Linear Regression, Random Forest, SVM, Adaboost, and ARIMA, to enhance prediction precision. Key features such as S&P 500, Crude Oil Price, CPI, Exchange Rates, and Total Electricity Consumption are identified through feature importance analysis. The Random Forest model emerges as the most effective, emphasizing the significance of key variables. Leveraging explainable AI techniques, the study provides transparent insights into model decision-making, offering valuable information for risk management and strategic decision-making in the volatile coal market 2024 IEEE.
Santhosh N.; Mahajan J.; Sharma M.; Hussain D.; Kakani R.; Saxena A.
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Santhosh N., Christ University, Bengaluru, India; Mahajan J., Christ University, Bengaluru, India; Sharma M., Christ University, Bengaluru, India; Hussain D., Christ University, India; Kakani R., Sg Analytics, India; Saxena A., Christ University, Bengaluru, India
Experimental Investigations on Static, Dynamic, and Morphological Characteristics of Bamboo Fiber-Reinforced Polyester Composites
The use of natural fiber-reinforced polymer composites has increased over a period of time, majorly due to the ecosustainability and biodegradability of the composites. Among several grades of natural fibers, bamboo fibers offer numerous environmental and cost benefits and possess excellent mechanical characteristics. The superior properties of the bamboo fibers have triggered the research interests in the domain of bamboo fiber-reinforced polymer composites. Among the polymers, polyesters are long chain molecules made up of atoms arranged in various ways with other elements to form the basic building blocks of a polymeric chain. Polyester is being increasingly employed in today's industrial products due to its inherent advantages. As a result, based on the potential properties of bamboo fibers as reinforcing materials and polyester resin as matrix material, the biocomposites are synthesized by hand lay-up technique and the specimens cut as per the standard dimensions and subjected to mechanical investigations, vibration, and morphological characterization as per the ASTM test methods. The increase in fiber weight content has enhanced flexural, tensile, and impact characteristics and improved the damping characteristics of the composite specimens. The microstructural evaluations have revealed the uniform distribution of the bamboo fibers in the resin, and the morphological studies of the fractured specimens have revealed that the fracture is majorly due to the matrix cracks rather than the fiber debonding, which is a major attribute ascertaining the strong coherent strengthening mechanism brought about by the inclusion of bamboo fiber in the polyester resin. 2022 N. Santhosh et al.
Santhosh N.; Praveena B.A.; Srikanth H.V.; Angadi S.; Gunge A.; Rudra Naik M.; Shankar G.; Ramesha K.; Ravichandran G.
International Journal of Polymer Science, Vol-2022
Santhosh N., Department of Mechanical Engineering, MVJ College of Engineering, Bengaluru, 560067, India; Praveena B.A., Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Srikanth H.V., Department of Aeronautical Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Angadi S., Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Gunge A., Department of Mechanical Engineering, Nagarjuna College of Engineering & Technology, Bengaluru, 562164, India; Rudra Naik M., Department of Electro-Mechanical Engineering, Arba Minch University, Sawla Campus, Ethiopia; Shankar G., Department of Mechanical Engineering, MVJ College of Engineering, Bengaluru, 560067, India; Ramesha K., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST, Deemed to Be University, Kengeri Campus, Karnataka, Bangalore, India; Ravichandran G., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST, Deemed to Be University, Kengeri Campus, Karnataka, Bangalore, India
Data acquisition using NI LabVIEW for test automation
In a fighter aircraft, the pilot's safety is of utmost importance, and the pressure sensing in the pilot's mask is essential for ensuring the pilot's safety. This innovative solution ensures the swift and accurate measurement of pressure, minimizing the risk of potential hazards and enhancing military aviation safety. Additionally, it provides a robust and reliable solution that can withstand the harsh and challenging conditions often encountered in the field. This chapter explores the advanced capabilities and benefits of utilizing the National Instrument USB-6363, programmed with LabVIEW, in military aviation, highlighting its potential for revolutionizing pressure measurement processes in this critical field. It describes a research study on developing a pressure-sensing system for pilot masks using NI USB 6363 and LabVIEW. 2023, IGI Global.
Santhosh P.; John D.C.; Kodigandla P.; Uma Maheswari V.M.; Sujatha S.
Advances in Artificial and Human Intelligence in the Modern Era, pp. 95-108.
Santhosh P., CHRIST University (Deemed), India; John D.C., CHRIST University (Deemed), India; Kodigandla P., CHRIST University (Deemed), India; Uma Maheswari V.M., Defence Research and Development Organisation (DRDO), India; Sujatha S., CHRIST University (Deemed), India
Gold NP; Multidrug resistance; NVs; Superbugs; virus like particle (VLP)
Superbugs pose a serious threat to humans as many of the currently available antibiotics are not effective in treating the diseases inflicted by these microbes.Among the different bacteria causing clinical infections, Klebsiella pneumoniae, Escherichia coli, Serratia marcescens, Pseudomonas aeruginosa, Staphylococcusaureus, Proteus mirabilis, and so on, are some of the most vicious ones emergingat an unprecedented rate with huge impact on public health. In this context, prophylacticmeasures for these diseases assume great significance and NVs indeedfit in as a promising measure. Sustained release, improved antigen stability, betterimmunogenicity, better access to lymph nodes and low minimum immunotoxicitytranslates to the better efficacy of nano-based vaccines. Lipid-based NP (nanoparticles),dendrimers, Polymeric NP, self-assembled peptide NP, virus like particles(VLPs), and so on, are the promising NV (nanovaccines) delivery approaches.Improvisations of NVs by decorating NP surfaces with ligands that target specificimmune cells like the dendritic cells is also a promising approach to induce both Tand B cell responses. The current review focuses on the breakthroughs in the NVdomain with the challenges and opportunities of creating NVs to curb the menaceof superbugs. 2022 Scrivener Publishing LLC. All rights reserved.
Santhosh S.K.; Kootery K.P.; Umesh M.; Alex P.M.; Mani M.; Roy A.; Sarojini S.
Nanovaccinology as Targeted Therapeutics, pp. 53-76.
Santhosh S.K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Kootery K.P., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Alex P.M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Mani M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Roy A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India
Comparative Analysis of Phytochemicals and Antioxidant Potential of Ethanol Leaf Extracts of Psidium guajava and Syzygium jambos
Antioxidants; DPPH; GC-MS; Phytochemicals; Psidium guajava; Syzygium jambos
Background: Plant-based drugs for various human ailments are becoming very important in the current domain of therapeutics. Aim: Psidium guajava and Syzygium jambos are two such plant species known for their medicinal properties in traditional systems of medicine like Ayurveda. Methods: Phytochemical analysis including GCMS, and antioxidant studies (DPPH) was carried out for both plant extracts. Results: Comparative phytochemical analyses of ethanol extracts of both these plants have shown the existence of bioactive components like tannins, polyphenols, alkaloids, flavonoids and terpenoids. These phytochemicals were quantified and the ethanol extracts were subjected to GCMS analysis which showed the presence of cis-?-farnesene, cis-calamenene, copaene, humulene, caryophyllene, phytol, neophytadiene, n-hexadecanoic acid etc, many of which possess diverse properties like antimicrobial, antibiofilm, antioxidant and anti-inflammatory. DPPH and reducing power assays revealed the excellent radical scavenging activity of the extracts. Conclusion: Among the two plants under the current study, S. jambos extract showed better results when compared to P. guajava concerning the antioxidant potential and the quantity of flavonoids, alkaloids, polyphenols and tannins present in the plant samples. 2024, Informatics Publishing Limited. All rights reserved.
Journal of Natural Remedies, Vol-24, No. 10, pp. 2173-2186.
https://doi.org/10.18311/jnr/2024/36164 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212500296&doi=10.18311%2fjnr%2f2024%2f36164&partnerID=40&md5=ceaf5c6ae92341be0f46f34ab47d9382
Santhosh S.K., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India
Anti-biofilm activities of nanocomposites: Current scopes and limitations
Antibiofilm; Multidrug resistance; Mutagenicity; Nanocomposite; Reactive oxygen species
The past few decades have seen revolutions in the applications of nanomaterials in different walks of science. One of the significant applications in healthcare is the use of nanoparticles (NP) in killing both free floating and biofilm forming bacteria. Several nanoparticles like CuO, Fe3O4, TiO2, ZnO, MgO and Al2O3 NPs have been proven to achieve this feature with varying efficacies. A more advanced and efficient way to disrupt bacterial biofilms is the use of nanocomposite (NC) materials to eliminate bacteria. Along with various metal oxides, materials like graphene and chitosan can also be used to create various types of NC. One of the biggest advantages of NP and NC over antibiotics is their ability to circumvent the problem of bacterial resistance. The mechanisms by which NC disrupts biofilms, synthesis and characterization of NC and their relative advantages and limitations are discussed in this chapter. With the ever-increasing incidences of diseases caused by multidrug resistant and biofilm forming bacteria, there is an urgent need to devise materials like nanocomposites with a broader spectrum of action. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.
Bio-manufactured Nanomaterials: Perspectives and Promotion, pp. 83-94.
Santhosh S.K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India
Performance evaluation of Map-reduce jar pig hive and spark with machine learning using big data
Cloudxlab; Flink; Hadoop; Hbase; HDFS; Hive; Map-reduce; Pig; Spark
Big data is the biggest challenges as we need huge processing power system and good algorithms to make a decision. We need Hadoop environment with pig hive, machine learning and hadoopecosystem components. The data comes from industries. Many devices around us and sensor, and from social media sites. According to McKinsey There will be a shortage of 15000000 big data professionals by the end of 2020. There are lots of technologies to solve the problem of big data Storage and processing. Such technologies are Apache Hadoop, Apache Spark, Apache Kafka, and many more. Here we analyse the processing speed for the 4GB data on cloudx lab with Hadoop mapreduce with varing mappers and reducers and with pig script and Hive querries and spark environment along with machine learning technology and from the results we can say that machine learning with Hadoop will enhance the processing performance along with with spark, and also we can say that spark is better than Hadoop mapreduce pig and hive, spark with hive and machine learning will be the best performance enhanced compared with pig and hive, Hadoop mapreduce jar. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved.
Santosh Kumar J.; Raghavendra B.K.; Raghavendra S.; Meenakshi
International Journal of Electrical and Computer Engineering, Vol-10, No. 4, pp. 3811-3818.
Institute of Advanced Engineering and Science
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.11591/ijece.v10i4.pp3811-3818 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079907640&doi=10.11591%2fijece.v10i4.pp3811-3818&partnerID=40&md5=4663b5cad9d9091a213fc4454f707c89
Santosh Kumar J., Department of Computer Science and Engineering, KSSEM, Affiliated to VTU Belagavi, Bangalore, India; Raghavendra B.K., Department of Computer Science and Engineering, BGSIT (ACU) Deemed to be University, India; Raghavendra S., Department of Computer Science and Engineering, Christ Deemed to be University, India; Meenakshi, Department of Computer Science and Engineering, Jain Deemed to be University, India
Big data performance evalution of map-reduce pig and hive
Big data is nothing but unstructured and structured data which is not possible to process by our traditional system its not only have the volume of data also velocity and verity of data, Processing means ( store and analyze for knowledge information to take decision), Every living, non living and each and every device generates tremendous amount of data every fraction of seconds, Hadoop is a software frame work to process big data to get knowledge out of stored data and enhance the business and solve the societal problems, Hadoop basically have two important components HDFS and Map Reduce HDFS for store and mapreduce to process. HDFS includes name node and data nodes for storage, Map-Reduce includes frame works of Job tracker and Task tracker. Whenever client request Hadoop to store name node responds with available free memory data nodes then client will write data to respective data nodes then replication factor of hadoop copies the blocks of data with other data nodes to overcome fault tolerance Name node stores the meta of data nodes. Replication is for back-up as hadoop HDFS uses commodity hardware for storage, also name node have back-up secondary name node as only point of failure the hadoop. Whenever clients want to process the data, client request the name node Job tracker then Name node communicate to Task tracker for task done. All the above components of hadoop are frame works on-top of OS for efficient utilization and manage the system recourses for big data processing. Big data processing performance is measured with bench marks programs in our research work we compared the processing i.e. execution time of bench mark program word count with Hadoop Map-Reduce python Jar code, PIG script and Hive query with same input file big.txt. and we can say that Hive is much faster than PIG and Map-reduce Python jar code Map-reduce execution time is 1m, 29sec Pig Execution time is 57 sec Hive execution time is 31 sec. BEIESP.
Santosh Kumar J.; Raghavendra S.; Raghavendra B.K.; Meenakshi
International Journal of Engineering and Advanced Technology, Vol-8, No. 6, pp. 2982-2985.
Blue Eyes Intelligence Engineering and Sciences Publication
https://doi.org/10.35940/ijeat.F9002.088619 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072014154&doi=10.35940%2fijeat.F9002.088619&partnerID=40&md5=246bda0693b566397b167c5c17767f4f
Santosh Kumar J., Department of Computer Science and Engineering, K.S. School of Engineering and Management, Bangalore, India; Raghavendra S., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India; Raghavendra B.K., Research Institute is an institution deemed to be university, Chennai, India, Bengaluru University, Bengaluru, India; Meenakshi, Jain University, Bengaluru, India
Sustainability Indicators and Ten Smart Cities Review
AI (Artificial intelligence); Geospatial Technology; IOT; Smart City; Sustainable
The motivation of smart cities is to improve the standard of living of citizens and enhance the use of technology in sustainable city services. A city's sustainability can be measured using various sets of smart indicators. This study will analyse urban sustainability indicators as a research problem for ten smart cities. The review of smart cities will focus on the Internet of things (IoT), Mobile devices, and Artificial intelligence technologies (Sensors in street lights, smart homes) that help our citizens transform from rural to urban areas towards sustainability. This research uses a qualitative framework for the taxonomy of the literature for the terms 'smart city' and 'sustainability' Further, the characteristics, critical technology, and IOT application for mobility are elaborated upon. Finally, we discuss ten smart city review proposals reports, based on their sustainability indicators around the world. Concluding and Future studies could focus on using sustainable indicators for developing smart cities in India. 2023 IEEE.
Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
Sao A., CHRIST (Deemed to Be University), School of Architecture, Bangalore, India; Gupta J., CHRIST (Deemed to Be University), School of Architecture, Bangalore, India