Future perspectives on new innovative technologies comparison against hybrid renewable energy systems
subject: Fuel cell electric vehicles; Hybrid renewable energy; Renewable energy systems; Storage-based geothermal; Storage-based hydropower; Vehicle energy management
description: The increase in the dispatchable amount of renewable energy and rural access to the point is proposed. The fuel is used to generate power and electrical energy for the machine. This causes the electricity to manage the single connection point to analyze the hybrid generations. Improving this hybrid generator of renewable power resources can be enabled for the analysis. Photovoltaic power sources have been introduced for converting the power loads and the dumps. The vehicle energy power management technique and the renewable energy system have been used for the analysis. This study shows how vehicle and renewable energy management can help develop geothermal against hydrothermal vents. Hydropower and vehicles can enable bioethanol for vehicle biodiesel. This study allows for the analysis of hydrothermal and biodiesel. In this study, the power of the energy enables the hybrid system, and the combination of the power generator to access the vehicle is proposed. 2023
creator: Kannan N.; Upreti K.; Pradhan R.; Dhingra M.; Kalimuthukumar S.; Mahaveerakannan R.; Gayathri R.
source: Computers and Electrical Engineering, Vol-111
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 457906; CODEN: CPEEB
format: Online
language: English
type: Article
coverage: Kannan N., Department of Electrical Engineering, Faculty of Engineering, Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia; Upreti K., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Pradhan R., GLA University, Mathura, India; Dhingra M., Department of Mathematics and Statistics, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Kalimuthukumar S., Department of Biomedical Engineering, Kalasalingam Academy of Research and Education, India; Mahaveerakannan R., Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, Chennai, India; Gayathri R., Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, India

Non-Noble Bifunctional Amorphous Metal Boride Electrocatalysts for Selective Seawater Electrolysis
subject: Electrocatalyst; Hydrogen evolution reaction; Oxygen evolution reaction; Seawater electrolysis; Transition metal borides
description: The global scarcity of freshwater resources has recently driven the need to explore abundant seawater as an alternative feedstock for hydrogen production by water-splitting. This route comes with new challenges for the electrocatalyst, which has to withstand harsh saline water conditions with selectivity towards oxygen evolution over other competing reactions. Herein, a series of amorphous metal borides based on the iron triad metals (Co, Ni, and Fe), synthesized by a simple one-step chemical reduction method, displayed excellent bifunctional activity for overall seawater splitting. Amongst the chosen catalysts, amorphous cobalt boride (Co?B) showed the best overpotential values of 182 mV for HER and 305 mV for OER, to achieve 10 mA/cm2, in alkaline simulated seawater. This superior activity was owed to the enrichment of the metal site with excess electrons (HER) and the in-situ surface transformation (OER), as confirmed by various means. In alkaline simulated seawater, the overall cell voltage required to achieve 100 mA/cm2 was 1.85 V for the Co?B catalyst when used in a 2-electrode assembly. The Co?B catalyst showed negligible loss in activity even after 1000 cycles and 50 h potentiostatic tests, thus demonstrating its industrial viability. The selectivity of the catalyst was established with Faradaic efficiency of above 99 % for HER and 96 % for OER, with no detection of chloride products in the spent electrolyte. This study using the mono-metallic boride catalysts will turn to be a precursor to exploit other complex metal boride systems as potential candidates for seawater electrolysis for large-scale hydrogen production. 2023 Wiley-VCH GmbH.
creator: Silviya R.; Vernekar Y.; Bhide A.; Gupta S.; Patel N.; Fernandes R.
source: ChemCatChem, Vol-15, No. 17
publisher: John Wiley and Sons Inc
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 18673880; CODEN: CHEMK
format: Online
language: English
type: Article
coverage: Silviya R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Vernekar Y., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Bhide A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Joef Stefan Institute, Ljubljana, 1000, Slovenia; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India

Role of mixed molecular weight PEO-PVDF polymers in improving the ionic conductivity of blended solid polymer electrolytes
subject: Blend polymer electrolyte; Dielectric constant; Dielectric relaxation; Ion concentration factor; Ion hopping rate; Ionic conductivity
description: Blended solid polymer electrolytes (BSPE) were prepared by mixing different molecular weight polymers PEO6 (Mw = 1 106 g/mol), PEO5 (Mw = 1 105 g/mol), and PVDF (Mw = 5.25 105 g/mol) complexed with lithium salt. Conductivity and dielectric studies at different temperatures were carried out on these BSPE systems by varying the wt% of PEO5 and PVDF with respect to PEO6, keeping the wt% of lithium salt constant. The electrical characterizations of BSPE systems have been investigated using impedance spectroscopy in the frequency range 0.1106 Hz. The conductivity data shows that inclusion of PEO5 and PVDF into the PEO6 matrix improved the overall lithium-ion dynamics in the polymer matrix. The composition, PEO6 (94 wt%)-PEO5 (3 wt%)/PVDF (3 wt%)-LiClO4, exhibited maximum conductivity of 6.44 10?4 Scm?1 at 303 K. TheDC conductivity variation with temperature of BSPE systems follows Arrhenius relation and variation of AC conductivities with frequency obeys Jonschers power law. The real and imaginary part of dielectric constant and the dielectric relaxation were also investigated. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
creator: Revathy C.; Sunitha V.R.; Money B.K.; Joseph R.; Radhakrishnan S.
source: Ionics, Vol-29, No. 10, pp. 4025-4035.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9477047
format: Online
language: English
type: Article
coverage: Revathy C., Department of Electrical & Electronics Engineering, PES University, -560085, Karnataka, Bangalore, India; Sunitha V.R., Department of Sciences and Humanities, School of Engineering and Technology, Christ (Deemed to be University), -560074, Karnataka, Bangalore, India; Money B.K., Department of Sciences and Humanities, School of Engineering and Technology, Christ (Deemed to be University), -560074, Karnataka, Bangalore, India; Joseph R., Department of Electrical & Electronics Engineering, PES University, -560085, Karnataka, Bangalore, India; Radhakrishnan S., Department of Science and Humanities, PES University, -560085, Karnataka, Bangalore, India

HQA Bot: Hybrid AI Recommender Based Question Answering Chatbot
subject: Artificial Intelligence; Chatbot; Deep Learning; Question Answering System; Recommender System; Reinforcement Learning
description: The COVID pandemic has presented a number of challenges for education, particularly when it comes to reaching and engaging students. As a result, online education has become increasingly important, and artificial intelligence (AI) has played a crucial role in supporting this shift. The proposed tutor assistance question-answering system uses AI to automatically generate responses to student questions. This system includes a feedback mechanism, known as a satisfaction index that measures the efficiency of the generated responses and suggest relevant follow-up questions. The proposed Hybrid Recommender-based Dijkstras algorithm (HRD) improves the system's accuracy. This algorithm uses a combination of techniques to group relevant questions based on context, which improves the accuracy of identifying the next relevant question. In our customized dataset, this approach achieved an accuracy of 96% and an average accuracy of 82% across benchmarked datasets. With this system, we aim to bridge the gap between students and education by providing a more engaging and personalized learning experience. 2023, Ismail Saritas. All rights reserved.
creator: Felicia Lilian J.; Vetriveeran D.; Malini A.; Kayalvizhi S.
source: International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 4, pp. 227-233.
publisher: Ismail Saritas
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 21476799
format: Online
language: English
type: Article
coverage: Felicia Lilian J., Thiagarajar college of Engineering, Madurai, 625015, India; Vetriveeran D., CHRIST University, Bangalore, 560074, India; Malini A., Thiagarajar college of Engineering, Madurai, 625015, India; Kayalvizhi S., SRM Institute of Science and Technology, Chengalpattu, 603203, India

Delayed in sensorimotor reflex ontogeny, slow physical growth, and impairments in behaviour as well as dopaminergic neuronal death in mice offspring following prenatally rotenone administration
subject: cognitive impairment; physical milestone; prenatally; rotenone; sensorimotor development
description: The environment is varying day by day with the introduction of chemicals such as pesticides, most of which have not been effectively studied for their influence on a susceptible group of population involving infants and pregnant females. Rotenone is an organic pesticide used to prepare Parkinson's disease models. A lot of literature is available on the toxicity of rotenone on the adult brain, but to the best of our knowledge, effect of rotenone on prenatally exposed mice has never been investigated yet. Therefore, the recent work aims to evaluate the toxic effect of rotenone on mice, exposed prenatally. We exposed female mice to rotenone at the dose of 5mg/Kg b.w. throughout the gestational period with oral gavage. We then investigated the effects of rotenone on neonate's central nervous systems as well as on postnatal day (PD) 35 offspring. In the rotenone group, we observed slow physical growth, delays in physical milestones and sensorimotor reflex in neonates and induction of anxiety and impairment in cognitive performances of offspring at PD-35. Additionally, immunohistochemical analysis revealed a marked reduction in TH-positive neurons in substantia nigra. Histological examination of the cerebellum revealed a decrease in Purkinje neurons in the rotenone exposed group as compared to the control. The data from the study showed that prenatally exposure to rotenone affects growth, physical milestones, neuronal population and behaviour of mice when indirectly exposed to the offspring through their mother. This study could provide a great contribution to researchers to find out the molecular mechanism and participating signalling pathway behind these outcomes. 2023 International Society for Developmental Neuroscience.
creator: Jain J.; Hasan W.; Jat D.; Biswas P.; Yadav R.S.
source: International Journal of Developmental Neuroscience, Vol-83, No. 6, pp. 518-531.
publisher: John Wiley and Sons Inc
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 7365748; PubMed ID: 37337287; CODEN: IJDND
format: Online
language: English
type: Article
coverage: Jain J., Neuroscience Research Lab, School of Biological Sciences, Department of Zoology, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar, India; Hasan W., Neurology Department, Harward Medical School, Harvard Medical School, Boston, United States; Jat D., Neuroscience Research Lab, School of Biological Sciences, Department of Zoology, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar, India; Biswas P., Department of Life Sciences, Christ (Deemed-to-be University), Bangalore, India; Yadav R.S., School of Forensic Science, National Forensic Sciences University, Bhopal, India

Students Satisfaction with Remote Learning During the COVID-19 Pandemic: Insights for Policymakers
subject: C-19 research; COVID-19; higher education institutions (HEIs); importance-performance analysis (IPA); new normal; remote learning; student engagement; student satisfaction index (SSI)
description: Purpose: This study aimed to learn more about the factors influencing student happiness and involvement in remote learning in Indian higher education institutions (HEIs). The study aims to assist administrators, strategists, and politicians in efficiently dealing with educations new normal. Methodology: The study used a quantitative research approach to fulfill the research aims. A sample of 546 students from various Indian HEIs was chosen, and data were gathered using standardized questionnaires. Structural equation modeling, confirmatory factor analysis, and importance-performance analysis (IPA) were used to calculate the student satisfaction index and examine the impact of various factors. Findings: The findings of this study revealed that institutional and faculty support emerged as the most influential factor impacting students satisfaction through remote learning. It also highlighted the need for HEIs to redesign the assessment process and evaluation techniques to adapt to the remote learning environment. Practical Implications: The findings of this study indicated the practical consequences for administrators, strategists, and policymakers at Indian HEIs. It was advised that improving institutional and teacher support should be a major concern in order to improve student happiness in remote learning situations. Furthermore, redesigning assessment procedures and evaluation processes may improve learning outcomes and student engagement. Originality: This study contributed to the existing body of knowledge by specifically investigating the factors influencing student satisfaction in remote learning within Indian HEIs. The findings shed light on the unique challenges and opportunities the shift to remote education presented. They offered valuable insights for managing and improving the quality of education during and beyond the pandemic. 2023, Associated Management Consultants Pvt. Ltd.. All rights reserved.
creator: Kumar S.; Janardhanan A.K.; Khanna S.; William R.M.; Saha S.
source: Prabandhan: Indian Journal of Management, Vol-16, No. 9, pp. 43-60.
publisher: Associated Management Consultants Pvt. Ltd.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9752854
format: Online
language: English
type: Article
coverage: Kumar S., School of Business and Management, CHRIST (Deemed to be University), Bannerghatta Road Campus, Karnataka, Bengaluru, 560 076, India; Janardhanan A.K., Southern Cross Institute, Parramatta, 2150, NSW, Australia; Khanna S., School of Business and Management, CHRIST (Deemed to be University), Bannerghatta Road Campus, Karnataka, Bengaluru, 560 076, India; William R.M., Jyoti Nivas College, Karnataka, Bangalore, 560 095, India; Saha S., St Xaviers University, Kolkata, 700 160, India

Structural, optical, and electrochromic properties of RT and annealed sputtered tungsten trioxide (WO3) thin films for electrochromic applications by using GLAD technique
description: Tungsten oxide (WO3) thin films were prepared on the GLAD DC magnetron sputtering (GDMS) and substrate angles were varied from 70 to 80. The WO3 thin films were deposited at room temperature (RT) on corning glass (CG) and fluorine-doped tin oxide (FTO), and substrates and annealed at 400C/2h. The XRD, UvVis spectrometer, and electrochemical analyzer were used to determine the structural, optical, and electrochromic (EC) properties. According to an XRD study, RT-deposited samples were amorphous, but annealed samples displayed crystalline structures. The optical transmittance of RT and annealed samples varied from 59 to 71% and 14 to 28% respectively. The colored/bleached ability of the cyclic voltammograms was RT samples shows greater than in annealed samples. Since the coloration ability and diffusion coefficient of WO3 RT samples show greater than annealed samples. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
creator: Kumar K.N.; Sattar S.A.; Ashok Reddy G.V.; Jafri R.I.; Premkumar R.; Meera M.R.; Ahamed A.A.; Muthukrishnan M.; Dhananjaya M.; Tighezza A.M.
source: Journal of Materials Science: Materials in Electronics, Vol-34, No. 28
publisher: Springer
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9574522
format: Online
language: English
type: Article
coverage: Kumar K.N., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India, Centre for Nano-Materials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Sattar S.A., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Ashok Reddy G.V., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Jafri R.I., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India; Premkumar R., Department of Physics, N.M.S.S.V.N. College, Nagamalai, Tamil Nadu, Madurai, 625019, India; Meera M.R., Department of Physics, Sree Ayyappa College for Women, Chunkankadai, Tamil Nadu, Nagercoil, 629 003, India; Ahamed A.A., Department of Chemistry, Jamal Mohamed College (Autonomous), Affiliated to Bharathidasan University Trichy, Tamil Nadu, Tiruchirappalli, 620020, India; Muthukrishnan M., Department of Physics, Sona College of Technology, Tamil Nadu, Salem, 636005, India; Dhananjaya M., School of Mechanical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsangbuk-do, Gyoungsan-si, 38541, South Korea; Tighezza A.M., Department of Chemistry, College of Science, King Saud University, P. O. Box 2455, Riyadh, 11451, Saudi Arabia

Rational design of PANI incorporated PEG capped CuO/TiO2 for electrocatalytic hydrogen evolution and supercapattery applications
subject: Energy storage; Hydrogen evolution reaction; PANI/CuO/TiO2; Supercapattery
description: Synthesis of efficient electrocatalysts for energy applications is a major area scientists are currently focusing on to address the twin challenges of energy shortfall and the production of clean energy. Herein, an efficient electrocatalyst, polyaniline incorporated with polyethylene glycol capped CuO/TiO2 is prepared, which is effective in hydrogen evolution reactions and energy storage applications. The characterizations like XPS, XRD, FT-IR, FE-SEM, HR-TEM, and BET have been carried out to confirm the successful formation of the synthesized PANI/CuO/TiO2 composite. At 10 mA/cm2 current density, the prepared composite exhibits a lesser overpotential of 536 mV and 1587.2 C/g at 1 A/g as the specific capacity. The electrode prepared using the PANI/CuO/TiO2 composite also shows cyclic stability up to 2000 cycles. The synthesized composite is an efficient electrocatalyst for energy related applications. 2023 Hydrogen Energy Publications LLC
creator: Varghese A.; Devi K R S.; Pinheiro D.
source: International Journal of Hydrogen Energy, Vol-48, No. 76, pp. 29552-29564.
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 3603199; CODEN: IJHED
format: Online
language: English
type: Article
coverage: Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Devi K R S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India

Development of smart energy monitoring using NB-IOT and cloud
subject: Cloud; NB-IOT; Network; Smart energy; Smart power monitoring system
description: IoT-based applications are growing in popularity nowadays because they offer effective answers to numerous current problems. In this research, With the aim of decreasing human efforts for monitoring the power units and increasing users' knowledge of excessive electricity usage, an IoT-based electric metre surveillance system utilising an Android platform has been developed. With the help of an Arduino Uno and an optical sensor, the electric analyser pulse is captured. To reduce human mistake and the expense of energy usage, a low-cost wireless network of sensors for digital energy metres is implemented alongside a smartphone application that can autonomously read the metre of the unit. In this research, an intelligent power monitoring system with effective communication modules has been developed to make wise use of the electricity. The controller, NB-IoT connection module, and cloud are the three main components of an IOT-based smart energy metre system. The controller is essential for maintaining the functionality of each component. This solution reduces the need for human involvement in electricity maintenance by connecting energy metres to the cloud using an NB-IoT communication module. The IoT-based metre reading system in the proposed work is created to monitor and analyse the metre reading, and the service provider can cut off the source of electricity whenever the customer fails to pay the monthly bill. It also eliminates the need for human intervention, provides accurate metre reading, and guards against billing errors. The proposed SPM improves the overall accuracy ranges of 7.42, 27.83, and 20% better than DR, OREM, and SLN respectively. 2023
creator: Siva Balan R.V.; Gouri M.S.; Senthilnathan T.; Gondkar S.R.; Gondar R.R.; Loveline Zeema J.; Jothikumar R.
source: Measurement: Sensors, Vol-29
publisher: Elsevier Ltd
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26659174
format: Online
language: English
type: Article
coverage: Siva Balan R.V., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Gouri M.S., Department of Computer Science and Engineering, Baselios Mathews II College of Engineering Lake View, Muthupilakadu, Sasthamcotta, Kerala, Kollam, 690 520, India; Senthilnathan T., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Gondkar S.R., Department of Electronics and Communication and Engineering, BMS Institute of Technology and Management, Bengaluru, 560064, India; Gondar R.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Loveline Zeema J., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Jothikumar R., Department of Computer Science and Engineering, Shadan College of Engineering and Technology, Peeran Cheru, Hyderabad, India

Towards developing an automated technique for glaucomatous image classification and diagnosis (AT-GICD) using neural networks
subject: ANN; Feature extraction; Fundus image; Glaucomatous image classification; Histogram gradients; Wavelet energy
description: Glaucoma is the eye defect that has become the second leading cause of blindness worldwide and also stated as incurable, may cause complete vision loss. The earlier diagnosis of glaucoma in Human Eye is a great confrontation and very important in present scenario, for providing efficient and appropriate treatments to the persons. Though there is much advancement in Ocular Imaging that affords methods for earlier detection, the appropriate results can be obtained by integrating the data from structural and functional evaluations. With that note, this paper involves in developing automated technique for glaucomatous image classification and diagnosis (AT-GICD). The model considers both the textural and energy features for effectively diagnosing the defect. Image Segmentation is processed for obtaining the exact area of optic nerve head; histogram gradient based conversion is employed for enhancing the fundus image features. Further, Wavelet Energy features are extracted and applied to the artificial neural networks (ANN) for classifying the NORMAL and GLAUCOMA images. The Accuracy rate based comparison with other existing models is carried out for evidencing the effectiveness of the proposed model in glaucomatous image classification. 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.
creator: Karthikeyan M.P.; Mary Anita E.A.; Mohana Geetha D.
source: International Journal of Information Technology (Singapore), Vol-15, No. 7, pp. 3727-3739.
publisher: Springer Science and Business Media B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 25112104
format: Online
language: English
type: Article
coverage: Karthikeyan M.P., Department of CSE, R.M.K Engineering College, Chennai, India; Mary Anita E.A., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Mohana Geetha D., Department of ECE, Sri Krishna College of Engineering and Technology, Kuniyamuthur, India

Certain types of metrics on almost coKler manifolds
subject: Almost coKler manifold; Bach tensor; Cotton tensor; Critical point equation; ? -Ricci soliton
description: In this paper, we study an almost coKler manifold admitting certain metrics such as ? -Ricci solitons, satisfying the critical point equation (CPE) or Bach flat. First, we consider a coKler 3-manifold (M,g) admitting a ? -Ricci soliton (g,X) and we show in this case that either M is locally flat or X is an infinitesimal contact transformation. Next, we study non-coKler (?, ?) -almost coKler metrics as CPE metrics and prove that such a g cannot be a solution of CPE with non-trivial function f. Finally, we prove that a (?, ?) -almost coKler manifold (M,g) is coKler if either M admits a divergence free Cotton tensor or the metric g is Bach flat. In contrast to this, we show by a suitable example that there are Bach flat almost coKler manifolds which are non-coKler. 2021, Fondation Carl-Herz and Springer Nature Switzerland AG.
creator: Naik D.M.; Venkatesha V.; Kumara H.A.
source: Annales Mathematiques du Quebec, Vol-47, No. 2, pp. 331-347.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 21954755
format: Online
language: English
type: Article
coverage: Naik D.M., Department of Mathematics, Kuvempu University, Karnataka, Shivamogga, India, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Venkatesha V., Department of Mathematics, Kuvempu University, Karnataka, Shivamogga, India; Kumara H.A., Department of Mathematics, Kuvempu University, Karnataka, Shivamogga, India

A novel route for isomerization of ?-pinene oxide at room temperature under irradiation of light-emitting diodes
subject: Carveol; Isomerization; Light-induced reaction; Radical formation; Zeolite
description: Present investigation demonstrates the potential use of HY-zeolite for photochemical applications in the selective isomerization of ?-pinene oxide to carveol. In this study, ultraviolet lamp and LED (390 nm) light sources were employed under atmospheric conditions. The results revealed that light penetration through protonated zeolite cavity promotes the hydrogen radical formation, facilitating the isomerization reaction in the presence of dimethylacetamide solvent to achieve up to 60% and 40% conversion of ?-pinene oxide to selective carveol (71%) under light irradiation. Here, using in situ spectroscopic studies (EPR and fluorescence), to confirm the hydrogen radical generation after light irradiation on the reaction mixture. Besides, the mechanistic pathway is proposed based on the experimental evidence of the formation of radicals, which is validated by the Density Functional Theory (DFT). By comparing electrical energy consumption for the same reaction using different reaction setups, it is understood that the energy requirement is nearly the same in the case of a reaction performed using a thermal reactor. The power consumption in reactions conducted using thermal, UV lamp and LED-based reactors was 1.6 kW/h, 1.5 kW/h, and 0.00144 kW/h, respectively. It is clear that the energy consumption in thermal and UV lamp-based reactors is higher than that of LED-based reactors, which was 1111 and 1041 times more than LED reactors respectively. Notably, the catalyst was found to be recyclable at least five consecutive runs, and the successful protocol was demonstrated up to 50 g scale. 2023 Elsevier Ltd
creator: Naikwadi D.R.; Muthukumar D.; Tayade R.J.; Pillai R.S.; Biradar A.V.
source: Materials Today Chemistry, Vol-33
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 24685194
format: Online
language: English
type: Article
coverage: Naikwadi D.R., Inorganic Materials and Catalysis Division, CSIR-Central Salt & Marine Chemicals Research Institute, Gujarat, Bhavnagar, 364002, India, Academy of Scientific and Innovative Research (AcSIR), Uttar Pradesh, Ghaziabad, 201002, India; Muthukumar D., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Tayade R.J., Inorganic Materials and Catalysis Division, CSIR-Central Salt & Marine Chemicals Research Institute, Gujarat, Bhavnagar, 364002, India; Pillai R.S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India, Analytical and Spectroscopy Division, ASCG/PCM, Indian Space Research Organization, Vikram Sarabhai Space Centre, Thiruvananthapuram- 695 022, Kerala, India; Biradar A.V., Inorganic Materials and Catalysis Division, CSIR-Central Salt & Marine Chemicals Research Institute, Gujarat, Bhavnagar, 364002, India, Academy of Scientific and Innovative Research (AcSIR), Uttar Pradesh, Ghaziabad, 201002, India

Energy Harvesting Using ZnO Nanosheet-Decorated 3D-Printed Fabrics
subject: 3D printing; energy harvesting; interface; nanogenerator; two-dimensional ZnO
description: In this work, we decorated piezoresponsive atomically thin ZnO nanosheets on a polymer surface using additive manufacturing (three-dimensional (3D) printing) technology to demonstrate electrical-mechanical coupling phenomena. The output voltage response of the 3D-printed architecture was regulated by varying the external mechanical pressures. Additionally, we have shown energy generation by placing the 3D-printed fabric on the padded shoulder strap of a bag with a load ranging from ?5 to ?75 N, taking advantage of the excellent mechanical strength and flexibility of the coated 3D-printed architecture. The ZnO coating layer forms a stable interface between ZnO nanosheets and the fabric, as confirmed by combining density functional theory (DFT) and electrical measurements. This effectively improves the output performance of the 3D-printed fabric by enhancing the charge transfer at the interface. Therefore, the present work can be used to build a new infrastructure for next-generation energy harvesters capable of carrying out several structural and functional responsibilities. 2023 American Chemical Society.
creator: Kumbhakar P.; Ambekar R.S.; Parui A.; Roy A.K.; Roy D.; Singh A.K.; Tiwary C.S.
source: ACS Applied Materials and Interfaces, Vol-15, No. 37, pp. 44513-44520.
publisher: American Chemical Society
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 19448244; PubMed ID: 37697828
format: Online
language: English
type: Article
coverage: Kumbhakar P., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Ambekar R.S., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India; Parui A., Department of Materials Engineering, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Roy A.K., Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright Patterson AFB, 45433-7718, OH, United States; Roy D., Directorate of Nanomaterials, DMSRDE, GT Road, Uttar Pradesh, Kanpur, 208013, India; Singh A.K., Department of Materials Engineering, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Tiwary C.S., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India

Analysis and prediction of seed quality using machine learning
subject: Agriculture; Classification; Convolution neural network; Prediction; Seed quality
description: The mainstay of the economy has always been agriculture, and the majority of tasks are still carried out without the use of modern technology. Currently, the ability of human intelligence to forecast seed quality is used. Because it lacks a validation method, the existing seed prediction analysis is ineffective. Here, we have tried to create a prediction model that uses machine learning algorithms to forecast seed quality, leading to high crop yield and high-quality harvests. For precise seed categorization, this model was created using convolutional neural networks and trained using the seed dataset. Using data that can be used to forecast the future, this model is used to learn about whether the seeds are of premium quality, standard quality, or regular quality. While testing data are employed in the algorithms predictive analytics, training data and validation data are used for categorization reasons. Thus, by examining the training accuracy of the convolution neural network (CNN) model and the prediction accuracy of the algorithm, the projects primary goal is to develop the best method for the more accurate prediction of seed quality. 2023 Institute of Advanced Engineering and Science. All rights reserved.
creator: Srinivasaiah R.; Meenakshi; Channegowda R.H.; Jankatti S.K.
source: International Journal of Electrical and Computer Engineering, Vol-13, No. 5, pp. 5770-5781.
publisher: Institute of Advanced Engineering and Science
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20888708
format: Online
language: English
type: Article
coverage: Srinivasaiah R., Department of Computer Science and Engineering, CHRIST Deemed to be University, Bengaluru, India; Meenakshi, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India; Channegowda R.H., Department of Electronics and Communication, Dayananda Sagar Academy of Technology and Management, Bengaluru, India; Jankatti S.K., Department of Computer Science and Engineering, Dayananda Sagar University, Bengaluru, India

Phytoextract-mediated synthesis of Cu doped NiO nanoparticle using cullon tomentosum plant extract with efficient antibacterial and anticancer property
subject: Antibacterial activity; Anticancer activity; Cullon tomentosum; CuNiO NPs; Green synthesis
description: In the present study, nickel oxide (NiO) and copper-doped nickel oxide (NiCuO) nanoparticles (NPs) were successfully synthesized using Cullen tomentosum plant extract with the co-precipitation method. This work focuses on the Phyto-mediated synthesis and characterization of NPs for their biological applications. Phytochemicals that exist in the plant extract acts as reducing and capping agent. The successful formation of the NPs was validated by various analysis as XRD, FESEM, EDAX, FT-IR, UVVis, and Photoluminescence. According to XRD studies, the average crystallite size of NiO and NiCuO NPs is 36 nm and 31 nm, respectively. The river stone and nanoflower like morphology for NiO and NiCuO NPs are confirmed by FESEM image. Furthermore, the synthesized NPs were tested against Gram-positive (Bacillus subtilis, Streptococcus pneumoniae) and Gram-negative (Klebsiella pneumoniae, Escherichia coli) bacteria, which showed enhanced antibacterial activity of NiCuO NPs. The cytotoxicity of NPs was investigated against human breast cancer cells (MDA-MB-231) and fibroblast L929 cell lines. Also, the IC50 value for human breast cancer cells is 11.8 ?g/mL. According to these findings, NiCuO NPs are potential nanomaterials with advanced healthcare uses. 2023
creator: Indumathi T.; Hirad A.H.; Alarfaj A.A.; Ranjith Kumar E.; Chandrasekaran K.
source: Ceramics International, Vol-49, No. 19, pp. 31829-31838.
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2728842; CODEN: CINND
format: Online
language: English
type: Article
coverage: Indumathi T., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Hirad A.H., Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box, 2455, Riyadh, 11451, Saudi Arabia; Alarfaj A.A., Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box, 2455, Riyadh, 11451, Saudi Arabia; Ranjith Kumar E., Department of Physics, KPR Institute of Engineering and Technology, Tamilnadu, Coimbatore, 641 407, India; Chandrasekaran K., Department of Chemical and Biochemical Engineering, Dongguk University, Seoul, 04620, South Korea

Lexical Richness of Adolescents Across Multimodalities: Measures, Issues and Future Directions
description: Lexical Richness (LR) is a scarcely researched subject in India. The objective of this paper is twofold: (i) To statistically inquire whether LR varies across three multimodalities: visual-only, audio-only, and audio-visual; and (ii) To see which of the two measures of LR (MATTR and Guiraud) is independent of text length and is best suited for short oral productions. 270 students across three types of schools were examined, out of whom 100 willingly completed all three oral tasks. The students were asked to retell the stories transacted in each modality in their own words. Randomization of sampling is done to mitigate the confounding modality bias. Additionally, the genre and parts of the storyline in each modality are similar. The students oral speech samples were recorded, transcribed and analyzed on WordCruncher and TextElixir software. The results revealed that there is statistically significant variance among the modalities. Furthermore, the Moving Average Type Token Ratio (MATTR) is seen to be independent of text length compared to Index of Guiraud. This study also throws light on the observations made during the study, pertinent issues in the field of education, and future directions for research on LR. 2023 IUP. All Rights Reserved.
creator: Parandhama A.; Babu K.S.
source: IUP Journal of English Studies, Vol-18, No. 3, pp. 60-77.
publisher: IUP Publications
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9733728
format: Online
language: English
type: Article
coverage: Parandhama A., Department of English and Cultural Studies, CHRIST (Deemed-to-be-University), Karnataka, Bengaluru, India; Babu K.S., Department of English and Cultural Studies, CHRIST (Deemed-to-be-University), Karnataka, Bengaluru, India

Soft grafting of DNA over hexagonal copper sulfide for low-power memristor switching
description: Green electronics, where functional organic/bio-materials that are biocompatible and easily disposable are implemented in electronic devices, have gained profound interest. DNA is the best biomolecule in existence that shows data storage capacity, in virtue of the sequential arrangement of AT and GC base pairs, analogous to the coding of binary numbers in computers. In the present work, a robust, uniform and repeatable room-temperature resistive switching in a Cu/Cu2S/DNA/Au heterojunction is demonstrated. The DNA nanostructures were anchored on the densely packed hexagonal Cu2S structures by simple electrochemical deposition. This heterostructure presents outstanding memristor behavior; the device exhibits resistive switching at a very low threshold voltage of 0.2 V and has a relatively high ON/OFF ratio of more than 102 with a good cycling stability of ?1000 cycles and a negligible amount of variation. The justification for such a switching mechanism is also given on the basis of the energy-band diagram of the Cu2S-DNA interface. Based on the studies herein, the resistive switching is attributed to the reversible doping of DNA by Cu+ ions, leading to intrinsic trap states. Further, the switching is modeled with the help of different transport mechanisms, like Schottky-barrier emission, Poole-Frenkel emission and Fowler-Nordheim tunneling. 2023 The Author(s).
creator: Naik S.G.; Rabinal M.K.; Datta S.
source: Materials Advances, Vol-4, No. 23, pp. 6312-6320.
publisher: Royal Society of Chemistry
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26335409
format: Online
language: English
type: Article
coverage: Naik S.G., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Rabinal M.K., Department of Physics, Karnatak University, Dharwad-03, India; Datta S., Department of Physics, Indian Institute of Science Education and Research, Pune, India

Cyclic property of iterative eccentrication of a graph
subject: eccentric graph; eccentrication; Eccentricity; iterative eccentric graphs; ?-cycle
description: The eccentric graph of a graph G, denoted by Ge, is a derived graph with the vertex set same as that of G and two vertices in Ge are adjacent if one of them is an eccentric vertex of the other. The process of constructing iterative eccentric graphs, denoted by Gek is called eccentrication. A graph G is said to be ?-cyclic(t,l) if G,Ge,Ge2,...,Gek,Gek+1,...,Gek+l are the only non-isomorphic graphs, and the graph Gek+l+1 is isomorphic to Gek. In this paper, we prove the existence of an ?-cycle for any simple graph. The importance of this result lies in the fact that the enumeration of eccentrication of a graph reduces to a finite problem. Furthermore, the enumeration of a corresponding sequence of graph parameters such as chromatic number, domination number, independence number, minimum and maximum degree, etc., reduces to a finite problem. 2023 World Scientific Publishing Company.
creator: Raja M.R.; Kok J.; Mangam T.A.; Naduvath S.
source: Discrete Mathematics, Algorithms and Applications, Vol-15, No. 7
publisher: World Scientific
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 17938309
format: Online
language: English
type: Article
coverage: Raja M.R., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India; Kok J., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India; Mangam T.A., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India; Naduvath S., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India

NuSTAR and AstroSat observations of GX 9+1: spectral and temporal studies
subject: accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: individual: GX 9+1
description: We have studied the spectro-temporal properties of the neutron star low-mass X-ray binary GX 9+1 using data from NuSTAR/Focal Plane Module and AstroSat/Soft X-ray Telescope and Large Area X-ray Proportional Counter (LAXPC). The hardness-intensity diagram of the source showed it to be in the soft spectral state (banana branch) during both observations. NuSTAR spectral analysis yielded an inclination angle (?) = 29 and inner disc radius (Rin) ? 19 km. Assuming that the accretion disc was truncated at the AlfvCrossed D sign ?0.9) with a monotonic increase in mass accretion rate () along the banana branch. The analysis also showed the presence of absorption edges at ?1.9 and ?2.4 keV, likely due to Si xiii and S xv, respectively. Temporal analysis with LAXPC-20 data in the 0.02-100 Hz range revealed the presence of noise components, which could be characterized by broad Lorentzian components.
creator: Thomas N.T.; Gudennavar S.B.; Bubbly S.G.
source: Monthly Notices of the Royal Astronomical Society, Vol-525, No. 2, pp. 2355-2365.
publisher: Oxford University Press
date: 2023-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 358711; CODEN: MNRAA
format: Online
language: English
type: Article
coverage: Thomas N.T., Department of Physics and Electronics, Christ University, Karnataka, Bangalore, 560029, India; Gudennavar S.B., Department of Physics and Electronics, Christ University, Karnataka, Bangalore, 560029, India; Bubbly S.G., Department of Physics and Electronics, Christ University, Karnataka, Bangalore, 560029, India

A new lightweight data security system for data security in the cloud computing
subject: Cloud computing; Cyber security; Cyber threats; Data security
description: In recent decades, data has proved indispensable to all facets of human existence. The development of several applications has resulted in the exponential expansion of data. This information can be encrypted and stored in secure areas. Cloud computing is the technology that can be used to store these massive data sets. The article suggests a Cloud-based Data Security System (C-DSS) that employs a five-tiered trust model for cloud-edge data-sharing architectures. The data owner can select an appropriate trust level and Cyber Threat Information (CTI) sanitization procedure before releasing CTI for analytic strategy. In addition, this cleansing method is conducted either by an end device or by the cloud service supplier, based on the organization's degree of confidence in latter. Research presents the trust architecture, cloud architecture, and installation methodology, all of which are intended to meet widest variety of needs for exchanging secret CTI information. The testing findings high degree of data security and an evident improvement in terms of cypher processing time and security services when compared to the encryption systems that are most often employed in cloud technology. In conclusion, research briefly outlines development and evaluation performed so far by pilot applications confirming the architecture. 2023 The Authors
creator: Mohammed S.; Nanthini S.; Bala Krishna N.; Srinivas I.V.; Rajagopal M.; Ashok Kumar M.
source: Measurement: Sensors, Vol-29
publisher: Elsevier Ltd
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26659174
format: Online
language: English
type: Article
coverage: Mohammed S., University of Technology and Applied Sciences Sur, Oman; Nanthini S., AP(SG), Department of AI & DS, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Thandalam, Chennai, India; Bala Krishna N., Department of CSE, Mohan Babu University &SreeVidyanikethan Engineering College, Andhrapradesh, Tirupati, 517102, India; Srinivas I.V., K.J. Somaiya Institute of ManagementData Science and Technology Dept, Vidya Nagar, Vidya vihar (East), Mumbai, 400077, India; Rajagopal M., School of Business and Management, Christ University, Bangalore, 560029, India; Ashok Kumar M., Faculty of Computer Science, Department of Computer Science and Software Engineering, Skyline University Nigeria, Kano, Nigeria