On Leech labelings of graphs and some related concepts
Leech graph; Leech index; Leech labeling; Path number
Let G=(V,E) be a graph and let f:E?{1,2,3,} be an edge labeling of G. The path weight of a path P in G is the sum of the labels of the edges of P and is denoted by w(P). The path number of G, tp(G) is the total number of paths in a graph G. If the set of all path weights S in G with respect to the labeling f is {1,2,3,,tp(G)}, then f is called a Leech labeling of G. A graph which admits a Leech labeling is called a Leech graph. Leech index is a parameter which evaluates how close a graph is towards being Leech. In this paper, the path number of the wheel graph Wn is obtained. We also determine a bound for the Leech index of Wn and a subclass of unicyclic graphs. A python program that gives all possible Leech labelings of a cycle Cn for n?3, if it exists, is also provided. 2023 Elsevier B.V.
https://doi.org/10.1016/j.disc.2023.113837 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179830543&doi=10.1016%2fj.disc.2023.113837&partnerID=40&md5=73a18f19b5a84f5332f2d4de5e61ed32
Lakshmanan S. A., Department of Mathematics, Cochin University of Science and Technology, Kerala, Cochin, 22, India; Eldho M.M., Department of Mathematics, CHRIST (Deemed to be University), Kerala, Bangalore, India
Learning analytics for academic management system enhancement: A participatory action research in an Indian context
academic management system; higher education; implementation; learning analytics; learning management system; online teaching; participatory action research; usage enhancement
A common thread noted in many academic management system implementations was the stagnation and deterioration of their usage after the initial hype. This action research study was aimed at addressing this decline in a higher education institute after undertaking a reflective analysis of the waning usage patterns and taking appropriate initiatives to enhance their usage. The authors have attempted this as participants driving the change. As change agents, the academic management system implementation was advanced to move closer to a stage where the committed use occurred and intended benefits were realised. Several initiatives were introduced to propel this change. The scope of this article was confined to gauging the impact of the trigger factors; memos, and training on the academic management system usage. Their effects were measured by applying learning analytics to various sources of usage and performance data. This further led to analysing the relationship between usage and performance of the stakeholders; students, and faculty. 2021 British Educational Leadership, Management & Administration Society (BELMAS).
Management in Education, Vol-38, No. 2, pp. 56-71.
Joy J., School of Business and Management, Christ (Deemed to be University), KA, Bangalore, India; Nambirajan T., Department of Management Studies, School of Management, Pondicherry University, Puducherry, India
Sustainable carbonaceous nanomaterial supported palladium as an efficient ligand-free heterogeneouscatalyst for Suzuki-Miyaura coupling
A novel ligand-free heterogeneous catalyst was synthesized via pyrolysis of Samanea saman pods to produce carbon nanospheres (SS-CNSs), which served as a carbon support for immobilizing palladium nanoparticles through an in situ reduction technique (Pd/SS-CNS). The SS-CNSs effectively integrated 3% of Pd on their surfaces with no additional activation procedures needed. The nanomaterials obtained underwent thorough characterization employing various techniques such as FT-IR, XRD, FE-SEM, TEM, EDS, ICP-AES, and BET. Subsequently, the efficiency of this Pd/SS-CNS catalyst was assessed for the synthesis of biaryl derivatives via Suzuki coupling, wherein different boronic acids were coupled with various aryl halides using an environmentally benign solvent mixture of EtOH/H2O and employing only 0.1 mol% of Pd/SS-CNS. The catalytic system was conveniently recovered through centrifugation and demonstrated reusability without any noticeable decline in catalytic activity. This approach offers economic viability, ecological compatibility, scalability, and has the potential to serve as an alternative to homogeneous catalysis. 2024 RSC.
Shetty A.; Sunil D.; Rujiralai T.; P. Maradur S.; N. Alodhayb A.; Hegde G.
Nanoscale Advances, Vol-6, No. 9, pp. 2516-2526.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1039/d4na00116h https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190749618&doi=10.1039%2fd4na00116h&partnerID=40&md5=266b86aa29208e0b0e67943bdc32b5a3
Shetty A., Department of Chemistry, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560029, India; Sunil D., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India; Rujiralai T., Center of Excellence for Innovation in Chemistry, Division of Physical Science, Faculty of Science, Prince of Songkla University, Songkhla, Hat Yai, 90112, Thailand; P. Maradur S., Materials Science & Catalysis Division, Poornaprajna Institute of Scientific Research (PPISR), Bidalur Post, Devanahalli, Karnataka, Bengaluru, 562164, India; N. Alodhayb A., Department of Physics and Astronomy, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Hegde G., Department of Chemistry, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560029, India, Materials Science & Catalysis Division, Poornaprajna Institute of Scientific Research (PPISR), Bidalur Post, Devanahalli, Karnataka, Bengaluru, 562164, India
Utilization of IoT-Based Healthcare System and Vital Data Monitoring of patients
Automated; Healthcare; Internet of Things; Monitoring; Privacy
The next generation of technology, known as the Internet of Things (IoT), will provide a comprehensive system that connects different domains, functions, and innovations. With the increasing demand for elderly care due to the growing ageing population, health monitoring systems have become increasingly important. Continuous monitoring is required in ICU to monitor the health conditions of patients. In cases where patients are released from the hospital, they are advised to rest and observed for a certain period, and the IoT system is very helpful in such cases. This article primarily discusses the implementation of a precise autonomous medical facility management system using IoT. In the past, only current data was displayed, and the patients history could not be accessed. In this study, we propose an IoT-based healthcare system for continuous monitoring of a patients health conditions. The healthcare system focuses on measuring and monitoring various biological parameters of the patients body, such as heart rate, blood oxygen saturation level, and temperature, using a web server and an Android application. Doctors can continuously monitor the patients condition on their smart phones using the Android application. Moreover, the patients history will be stored on the web server, and doctors can access the information from anywhere without being physically present. RJPT All right reserved.
Raje V.V.; Jadhav N.N.; Vatsa M.; Tiwari A.; Singh S.; Jarag R.
Research Journal of Pharmacy and Technology, Vol-17, No. 4, pp. 1590-1594.
Research Journal of Pharmacy and Technology
Raje V.V., Department of Community Medicine, Krishna Vishwa Vidyapeeth Deemed to be University, Maharashtra, Karad, India; Jadhav N.N., Department of Medicine, Krishna Vishwa Vidyapeeth Deemed to be University, Maharashtra, Karad, India; Vatsa M., Akhildev IPR and Research Services, Greater Noida, India; Tiwari A., School of Business and Management, Christ (Deemed to be University), Delhi NCR, India; Singh S., Sharda School of Business Studies, Sharda University, Greater Noida, India; Jarag R., Bharati Vidyapeeth College of Pharmacy, Maharashtra, Kolhapur, India
Psychological Safety and Career Success among Employees of Indian Start-ups: Mediating Role of Passion
Career Success; India; Passion; Psychological Safety; Start-ups
India is one of the leading countries that have a favorable start-up ecosystem and is home to hundreds of start-ups and unicorns. From fintech and e-commerce to healthcare and agritech, these startups are disrupting traditional industries, leveraging technology to address unique challenges and tap into vast market opportunities. The start-ups' human resources policies are different, and they do not have complex human resources rules and policies to promote new ideas. The start-ups future is unpredictable, and they have a lot of uncertainty. Human assets work in start-ups to get a sense of career success despite the psychological fear about the future as they have a strong passion to succeed. This research seeks to explore the impact of psychological safety on the professional achievement of human resources within Indian startups, with a particular focus on the intermediary role of passion. This study adopts a descriptive approach and utilizes a survey-based research methodology to gather first-hand data from employees working within the realm of Indian startups. The study results convey that psychological safety impacts the overall career success of start-up employees, and it also significantly impacts the objective career success of the employees. Objective career success pertains to tangible accomplishments or results in a person's professional journey, which are usually quantifiable and evident to external observers. Further, it is found that passion mediates psychological safety and objective career success of the start-up employees significantly. 2024, Iquz Galaxy Publisher. All rights reserved.
Ravikumar T.; Girish S.; Halaswamy D.; Abhinandan N.
International Research Journal of Multidisciplinary Scope, Vol-5, No. 2, pp. 484-492.
https://doi.org/10.47857/irjms.2024.v05i02.0546 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193383065&doi=10.47857%2firjms.2024.v05i02.0546&partnerID=40&md5=5b237799cad209e8c99ddea61eb41181
Ravikumar T., School of Business and Management, CHRIST (Deemed University), Bangalore, India; Girish S., School of Commerce, Finance and Accountancy, CHRIST (Deemed University), Bangalore, India; Halaswamy D., School of Business and Management, CHRIST (Deemed University), Bangalore, India; Abhinandan N., Maharani Lakshmi Ammani Womens College, Malleshwaram, Karnataka, India
Engine behavior analysis on a conventional diesel engine combustion mode powered by low viscous cedarwood oil/waste cooking oil biodiesel/diesel fuel mixture An experimental study
And Emission; Cedarwood Oil; Co-efficient of Variance; Combustion Efficiency; Performance; Waste Cooking Oil biodiesel
Binary biofuel is the best alternative source that completely replaces petroleum-based fuel. In this study, we have experimented with the waste cooking oil and cedarwood oil as biofuel in a DI CI engine for various proportions and related its combustion, emission, and performance characteristics to those of base diesel. This study aims to eliminate the utilization of fossil fuel in a diesel engine by introducing green binary fuel (low viscous fuel resulting from the blending of cedarwood oil with WCO biodiesel) successfully. The objective of the study is to convert cedarwood WCO into green binary fuel and investigate its performance, emission, and combustion properties. The transesterification process is utilized for the enhancement of WCO as biodiesel. It occasioned a reduction in brake thermal efficiency as the addition of waste cooking oil in the blend increased. At the same time, the maximum value of BTE of 27.8% was attained for B10C90 (10% transesterified waste cooking oil and 90% cedarwood oil in volume), whereas it was 28.1% for diesel at maximum load conditions. The BSEC was 15.4 MJ/kW-hr for B10C90 and 12.8 MJ/kWhr for diesel. The emission characteristics, CO, HC, NOx, CO2, and smoke for B10C90 were 17.93 g/kWhr, 0.55 g/kWhr., 20.09 g/kWhr, 2210.9 g/kWhr, and 25.55%. Combustion features such as NHRR, burn duration, MPRR, combustion efficiency, Ignition delay, and coefficient of variance for B10C90 were 53.74 bar, 29.38 CAD, 4.71 bar/CAD, 99.7%, 7.01 CAD, and 4.73% respectively. It showed that B10C90 had comparable performance (BTE) and combustion values to mineral diesel with better emission characteristics. 2024 The Institution of Chemical Engineers
Nguyen V.N.; Balasubramanian D.; Rajarajan A.; Venugopal I.P.; Dineshkumar C.; Ravikumar R.; Nguyen Le D.T.; Cao D.N.; Femilda Josephin J.S.; Chinnathambi A.; Pugazhendhi A.; Varuvel E.G.
Process Safety and Environmental Protection, Vol-184, pp. 560-578.
https://doi.org/10.1016/j.psep.2024.02.002 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185286274&doi=10.1016%2fj.psep.2024.02.002&partnerID=40&md5=4c0fcb5af67d307d93c090db39d63dd1
Nguyen V.N., Institute of Engineering, HUTECH University, Ho Chi Minh City, Viet Nam; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamil Nadu, Sivakasi, India; Rajarajan A., Department of Mechanical Engineering, CK College of Engineering and Technology, Tamil Nadu, Cuddalore, India; Venugopal I.P., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamil Nadu, Sivakasi, India; Dineshkumar C., Department of Automobile Engineering, BS Abdur Rahman Crescent Institute of Science and Technology, Tamil Nadu, Chennai, India; Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, India; Nguyen Le D.T., Faculty of Automotive Engineering, Dong A University, Danang, Viet Nam; Cao D.N., PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam; Femilda Josephin J.S., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey, Department of Autotronics, Institute of Automobile Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil N?du, Chennai, 602105, India; Chinnathambi A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Pugazhendhi A., School of Engineering, Lebanese American University, Byblos, Lebanon, Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Tamil Nadu, Kelambakkam, 603103, India; Varuvel E.G., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey, Department of Automobile Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India
Agile HR-Based Employee Management Practices for Improving Hospital Service Delivery
Agile HR Practice; Healthcare Services; Hospitals; HR Management; Service Delivery
The effective management of the human resources of a hospital is essential for the delivery of high-quality healthcare services, a task that has become incredibly challenging in the wake of the COVID-19 pandemic in India. The efficient management of employees is a top priority in healthcare organisations, which is why human resources (HR) plays a pivotal role in their functioning. It includes strategies for improving employee engagement, productivity, motivation, adaptability to change, welfare, and overall health in addition to traditional HR concerns. As part of this process, conducive working conditions must be created, talent management practices must be implemented, and flexibility must be provided to meet the evolving needs of healthcare professionals. The adoption of Agile HR practices is gaining momentum among hospitals in response to the dynamic challenges they face. In the Agile approach, the development cycle of 'Plan, Do, Check, and Act (PDCA)' enables real-time responsiveness. Through a qualitative research design with in-depth interviews conducted through purposive sampling, this study explores the implementation of Agile HR practices in hospitals located in Kerala and Karnataka. The research presents a novel human resources operating model, termed the 'Agile HR Model,' which advocates the integration of Agile principles into the management of healthcare employees. A key objective of this model is to enhance hospital service delivery by embracing agility and adaptability. The study provides HR managers and healthcare professionals with insights into enhancing the delivery of healthcare services. 2024, Iquz Galaxy Publisher. All rights reserved.
International Research Journal of Multidisciplinary Scope, Vol-5, No. 2, pp. 636-651.
https://doi.org/10.47857/irjms.2024.v05i02.0593 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193407385&doi=10.47857%2firjms.2024.v05i02.0593&partnerID=40&md5=956f87a5ead9778a59467e7f89abdc9f
Wilson C.D., School of Business and Management, Christ (Deemed to be) University, Hosur Road, Karnataka, Bengaluru, 560029, India; Balasundaram S., School of Business and Management, Christ (Deemed to be) University, Hosur Road, Karnataka, Bengaluru, 560029, India
Wave Height Forecasting over Ocean of Things Based on Machine Learning Techniques: An Application for Ocean Renewable Energy Generation
Data driven; forecasting; ocean environment; renewable energy; wave height
With the evolution and integration of information and communication technologies, the marine environment is being converted into a smart ocean of things. The only way to monitor the marine environment is to access marine information through satellites, radar, etc. Recently, many researchers have focused their interest on generating power from renewable energy. Among all the available renewable resources, ocean waves are attracting the interest of researchers for power generation. Therefore, this article focuses on designing a data-driven forecasting model for marine renewable energy generation applications. This article applies a novel Gini-impurity-index-based bidirectional long short-term memory model for selecting the best ocean/marine environmental factors to forecast wave height and ultimately predict power generation using the numerical model. This article presents short- and long-term forecasting results. In the experiment, four stations each are taken for both short- and long-term forecasting. The average root-mean-square error was approximately 0.17 for long-term forecasting and approximately 0.05 for short-term forecasting. 1976-2012 IEEE.
Upreti K.; Arora S.; Sharma A.K.; Pandey A.K.; Sharma K.K.; Dayal M.
IEEE Journal of Oceanic Engineering, Vol-49, No. 2, pp. 430-445.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/JOE.2023.3314090 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184831253&doi=10.1109%2fJOE.2023.3314090&partnerID=40&md5=6dc61981c4cb1ec30143c984ac6132fe
Upreti K., CHRIST (Deemed to Be University) Delhi NCR, Department of Computer Science, Ghaziabad, 201003, India; Arora S., KIET Group of Institutions, Department of Computer Applications, Ghaziabad, 201206, India; Sharma A.K., Galgotias University, School of Computing Science and Engineering, Greater Noida, 203201, India; Pandey A.K., KIET Group of Institutions, Department of Information Technology, Ghaziabad, 201206, India; Sharma K.K., KIET Group of Institutions, Department of Information Technology, Ghaziabad, 201206, India; Dayal M., Bharati Vidyapeeth's College of Engineering, Department of Computer Science and Engineering, New Delhi, 110063, India
Application of fuzzy logic in multi-sensor-based health service robot for condition monitoring during pandemic situations
COVID-19; Fuzzy logic; Mobile robot; Patient condition monitoring; Patient service
Purpose: The purpose of this study is to plan and develop a cost-effective health-care robot for assisting and observing the patients in an accurate and effective way during pandemic situation like COVID-19. The purposed research work can help in better management of pandemic situations in rural areas as well as developing countries where medical facility is not easily available. Design/methodology/approach: It becomes very difficult for the medical staff to have a continuous check on patients condition in terms of symptoms and critical parameters during pandemic situations. For dealing with these situations, a service mobile robot with multiple sensors for measuring patients bodily indicators has been proposed and the prototype for the same has been developed that can monitor and aid the patient using the robotic arm. The fuzzy controller has also been incorporated with the mobile robot through which decisions on patient monitoring can be taken automatically. Mamdani implication method has been utilized for formulating mathematical expression of M number of if and then condition based rules with defined input Xj (j = 1, 2, . s), and output yi. The inputs and output variables are formed by the membership functions Aij(xj) and Ci(yi) to execute the Fuzzy Inference System controller. Here, Aij and Ci are the developed fuzzy sets. Findings: The fuzzy-based prediction model has been tested with the output of medicines for the initial 27 runs and was validated by the correlation of predicted and actual values. The correlation coefficient has been found to be 0.989 with a mean square error value of 0.000174, signifying a strong relationship between the predicted values and the actual values. The proposed research work can handle multiple tasks like online consulting, continuous patient condition monitoring in general wards and ICUs, telemedicine services, hospital waste disposal and providing service to patients at regular time intervals. Originality/value: The novelty of the proposed research work lies in the integration of artificial intelligence techniques like fuzzy logic with the multi-sensor-based service robot for easy decision-making and continuous patient monitoring in hospitals in rural areas and to reduce the work stress on medical staff during pandemic situation. 2024, Emerald Publishing Limited.
Rout A.; Mahanta G.B.; Biswal B.B.; Renin Francy T.; Vardhan Raj S.; B.B.V.L D.
Robotic Intelligence and Automation, Vol-44, No. 1, pp. 96-107.
Rout A., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Mahanta G.B., Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Chennai, India; Biswal B.B., Department of Industrial Design, National Institute of Technology Rourkela, Rourkela, India; Renin Francy T., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Vardhan Raj S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; B.B.V.L D., Department of Industrial Design, National Institute of Technology, Rourkela, India
Integrating spiritual disposition intervention into behavioral medicine: A case report on systemic lupus erythematosus from India
behavioral medicine; case report; psychological conditions; Spiritual disposition; systemic lupus erythematosus
Background: Systemic Lupus Erythematosus (SLE) is a chronic inflammatory systemic autoimmune disease. The disease manifests as the bodys immune cells start attacking healthy connective tissue, which affects the skin, kidneys, blood vessels, brain, and other vital organs. As with any other chronic illness, the disease has psychological implications. Purpose: Literature suggests patients with SLE experience anxiety, depression, anger, and stress along with physiological symptoms. There is a strong association between the occurrence of stress and the onset of the disease. These psychological symptoms can be ameliorated through spiritual activities such as meditation, mindfulness, journaling, and reading. Mehtod: This case report is based on the importance of spirituality in the healthcare system. The study focuses on the concept of a whole-person-centered approach to the medical care industry. Spirituality has been proven to have a positive effect on health and illness. Hence, a 10-week intervention with 30 sessions focusing on spiritual dispositions was provided to the patient for this study, along with regular pharmacological treatment. The present case report is of a 56-year-old woman from New Delhi, India, who was diagnosed with SLE 2years ago. Results: The results reveal the positive effect of the intervention, as it led to a significant decrease in stress levels and depressive symptoms; it also resulted in improved quality of life, an enhanced coping style, and bolstered health hardiness. There was an increase in the score of a spiritual personality. Conlcusion: Spiritual Disposition as an intervention was sucessfull in reducing psychological implications of the disease thus leading to overall positve growth in the patient. The Author(s) 2024.
ISSN: 9612033; PubMed ID: 38166465; CODEN: LUPUE
Toor I.K., Department of Psychology, CHRIST (Deemed to be University) Delhi-NCR, Ghaziabad, India; Rastogi K., Department of Psychology, CHRIST (Deemed to be University) Delhi-NCR, Ghaziabad, India; Ajmani S., Rheumatology Department at BLK-Max Super Speciality Hospital, New Delhi, India
Spectral and type I X-ray burst studies of 4U 1702?429 using AstroSat observations
accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: bursts; X-rays: individual: 4U 1702?429
4U 1702?429, an atoll-type neutron star low-mass X-ray binary, was observed twice by the AstroSat/Soft X-ray Telescope (SXT) and Large Area X-ray Proportional Counters (LAXPC-20) on 2018 April 27 and 2019 August 8. Persistent emission spectra of the source were well fitted with the model combination - constant tbabs (thcomp diskbb+powerlaw). The parameters obtained from the spectral analysis revealed the source to be in a hard spectral state during the observations. Time-resolved spectral analyses were performed on the three type I X-ray bursts detected from the source. Burst analysis showed that the source underwent a photospheric radius expansion. Consequently, the radius of the neutron star and distance to the source (with isotropic and anisotropic burst emission) were obtained as 12.65+?008690 km and 6.92+?000916 and 8.43+?001020 kpc, respectively. 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
Varun M.; Thomas N.T.; Gudennavar S.B.; Bubbly S.G.
Monthly Notices of the Royal Astronomical Society, Vol-529, No. 3, pp. 2234-2241.
https://doi.org/10.1093/mnras/stae636 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188268450&doi=10.1093%2fmnras%2fstae636&partnerID=40&md5=2e1dd9f65cfdc430ae1bd35b03c3e750
Varun M., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; 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
VALIDATION OF CONTINUOUS FLOW METAL PLATE REACTORS IN THE TERPENE KETONE SYNTHESIS BY ALCOHOL OXIDATION
Continuous Flow Process; Metal Plate Reactor; Oxidation Reaction; Ruthenium Catalyst; Secondary and Tertiary Alcohols
The present study elucidates the oxidation of alcohols to terpene ketones using dichloro(p-cymene) ruthenium (II) dimer catalyst by continuous flow process using a metal plate reactor. The synthesized products were separated and validated using GC, GCMS,1 H-NMR, and13 C-NMR techniques. The reaction process exhibited product yield in the range of 80-95% on a scale of 1-80 grams. Optimization studies were conducted to calibrate the reaction conditions to improve the product yield. The scope of the reaction was explored using aromatic, cyclic, and aliphatic alcohols under optimized conditions, which resulted in high yields of terpene ketones. A reaction mechanism is proposed for the oxidation of alcohols by a continuous flow process. The significant advantages of the current protocol include synthesis at mild conditions, safer handling of reagents, flexibility to tune reaction conditions, and straightforward scale-up in the range of 1-80 grams with high efficiency and reproducibility. 2024, Rasayan Journal of Chemistry, c/o Dr. Pratima Sharma. All rights reserved.
Rasayan Journal of Chemistry, Vol-17, No. 2, pp. 696-708.
Rasayan Journal of Chemistry, c/o Dr. Pratima Sharma
Imam K., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Binish C.J., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Vijayasankar A.V., Department of Sciences and Humanities, CHRIST (Deemed to be University), Bangalore, 560074, India
Deprotection induced modulation of excited state intramolecular proton transfer for selective detection of perborate and ammonia
Deprotection; Dip-stick method; ESIPT; Fluorescence; Naked-eye
Acetate protected Naphthalene Coupled Benzothiazole (NCB) has been designed and synthesized for selective detection of perborate (BO3) and ammonia (NH3) based on modulation of excited-state intramolecular proton transfer (ESIPT) process by chemodosimetric deacetylation pathway. In presence of nucleophilic species like BO3 and NH3, acetyl group deprotection of NCB resulted ESIPT within the molecule exhibiting a significant enhancement of absorption and emission signals at 425 nm and 472 nm respectively. The emission enhancement of NCB has been observed by 31-folds and 14-folds in presence of BO3 and NH3 respectively. The selectivity and fast sensitivity of NCB have been shown by the lower detection limit (1.32 M for BO3, 1.74 M for NH3 in UVvis study and 0.60 M for BO3 and 4.39 M for NH3 in fluorescence study) and fast response (rate constants: 12.36 s?1 and 5.54 s?1 for BO3 and NH3 respectively). Analytes induced deacetylation pathway of NCB followed by ESIPT has been clearly demonstrated by theoretical calculation. The test strips based on NCB with BO3 and NH3 are fabricated, which can act as a convenient and efficient test kits for both these analytes. In the practical applications, the sensor NCB can be utilized as low cost food spoilage indicator and soil analysis by fluorometric method. 2024 Elsevier B.V.
Das T.; Joseph E.; Kumar M.S.; Vishnu S.; Dolai M.; Das A.K.
https://doi.org/10.1016/j.microc.2024.110100 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185191747&doi=10.1016%2fj.microc.2024.110100&partnerID=40&md5=34902ec45f910206220474a57d27fa32
Das T., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph E., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Kumar M.S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Vishnu S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Dolai M., Department of Chemistry, Prabhat Kumar College, Purba Medinipur, West Bengal, Contai, 721404, India; Das A.K., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India
Understanding environmentally sustainable Indian travel behaviour: an analysis of 2011 census data
Developing country; Gender; O180; R410; Ruralurban; Socio-demographic factors; Sustainability; Travel behaviour
Using census data of non-agricultural workers for 2011, this study aims to examine trends and determinants of travel behaviour in India. Descriptive statistics accompanied by a beta regression model of proportional outcomes are implemented on the obtained data. The study finds that men are the dominant users of motorized transport in the country. Most workers travel a short distance of less than 5km, irrespective of area or gender. Population density, the share of married population and the share of rural population in a district significantly influence the share of environmentally sustainable travel behaviour displayed by that region. To the best of our comprehension, this is one of the primary studies elucidating the comparison of travel behaviour in ruralurban areas of Indian states. Not many studies in India have addressed the issue of influence of socio-demographic factors on environmentally sustainable travel choices. With this analysis, policymakers in the transportation sector can get a clearer idea of the behaviour and demands of different divisions of society. The findings of this study demand the evolution of infrastructure of public transportation and non-motorized transportation in the country in such a way that is both efficient and secure to neither impede the goals of empowerment or sustainability. The Author(s), under exclusive licence to Institute for Social and Economic Change 2023.
Journal of Social and Economic Development, Vol-26, No. 1, pp. 49-76.
Saigal T., Department of Economics, School of Social Sciences, CHRIST (Deemed to be University), Bannerghatta Road Campus, Bangalore, 560076, India; Vaish A.K., Department of Economics and Finance, Birla Institute of Technology and Science, Pilani Campus, Rajasthan, Pilani, 333031, India; Rao N.V.M., Department of Economics and Finance, Birla Institute of Technology and Science, Pilani Campus, Rajasthan, Pilani, 333031, India
Exploring the applications and security threats of Internet of Thingin the cloud computing paradigm: A comprehensive study on the cloud of things
The term Internet of Things (IoT) represents a vast interconnected network comprising ordinary objects enhanced with electronics like sensors, actuators, and wireless connectivity. These augmentations enable seamless communication and data sharing among devices. IoT constitutes an ecosystem of programs, systems, and technologies that operate across diverse communication services. In our rapidly evolving world, cutting-edge technologies are swiftly gaining prominence. IoT, in particular, strives to proliferate innovative applications, programs, and communication amalgamating the virtual and physical realms. The bedrock of this communication is the machine-to-machine communication paradigm. IoT encompasses a spectrum of technologies encompassing smart vehicles, efficient vehicle parking management systems, and roadway-embedded sensors, culminating in the vision of a smart city. Such integration has the potential to alleviate traffic congestion and curb energy consumption. The impact of IoT extends to power generation and business operations, promising transformative outcomes. Furthermore, the synergy between IoT and cloud computing plays a pivotal role in the wireless communication domain. This paper offers a comprehensive insight into IoT's functionalities and underscores the associated security threats. The study aims to equip academia with an enhanced understanding of diverse IoT applications, particularly their integration with cloud computing, referred to as the Cloud of Things.. 2023 John Wiley & Sons, Ltd.
Nag A.; Hassan M.M.; Das A.; Sinha A.; Chand N.; Kar A.; Sharma V.; Alkhayyat A.
Transactions on Emerging Telecommunications Technologies, Vol-35, No. 4
https://doi.org/10.1002/ett.4897 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176387628&doi=10.1002%2fett.4897&partnerID=40&md5=10eb73edb2912935a4eed82a876821af
Nag A., Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh; Hassan M.M., Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh; Das A., Computer Science and Engineering, Adamas University, Kolkata, India; Sinha A., School of Computing and Information Science, IGNOU, New Delhi, India; Chand N., Electronics & Communication Engineering, Adamas University, Kolkata, India; Kar A., Computer Science and Engineering, Adamas University, Kolkata, India; Sharma V., Computer Science Department, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq
Corporate social responsibility assurance, board characteristics and social performance disclosure. Evidence of listed firms in India
board characteristics; CSR assurance; difference in differences model; resource dependency theory; signalling theory; social performance disclosures
The study examines board characteristics, corporate social responsibility (CSR) assurance and social performance disclosure of listed firms before and after mandatory CSR reporting in India. We used the Indian stock market as the testing grounds and applied panel regression and difference-in-differences to analyse 960 firm-year observations between 2010 and 2021. The first findings show that independent board directors and total board size are insignificant in CSR assurance engagement in a mandatory CSR policy period. However, CEO duality is less than likely causing CSR assurance engagement. The second findings show that CSR assurance engagement more than likely causes an increase in social performance disclosure before mandatory CSR policy implementation and increases social performance after policy implementation. The third findings show that the interactive effect of board characteristics (independent directors, total board size and CEO duality) and CSR assurance engagement causes an increase in social performance disclosure. The study sought clarity on the impact of CSR assurance and mandatory CSR reporting on information asymmetry problems to stakeholders. The study also contributes new knowledge on the influence of the interactive effect of board characteristics and CSR assurance on the social performance disclosure of listed firms in India. 2022 John Wiley & Sons Ltd.
Oware K.M.; Moulya H.; Mallikarjunappa T.
International Journal of Finance and Economics, Vol-29, No. 2, pp. 1707-1721.
https://doi.org/10.1002/ijfe.2753 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145338376&doi=10.1002%2fijfe.2753&partnerID=40&md5=3384cafefd1d5afff296bbaf4825f6b4
Oware K.M., Department of Banking Technology and Finance, Kumasi Technical University, Kumasi, Ghana, Department of Business Administration, Mangalore University, Mangalore, India; Moulya H., Department of Business Administration, Christ (deemed to be University), Bangalore, India; Mallikarjunappa T., Justice K S Hedge Institute of Management, Nitte, India
Estimation of state of charge considering impact of vibrations on traction battery pack
Battery pack; Coulomb counting method; Electric vehicles traction; Kalman filter
Interest towards electric vehicle adoption is on the rise due to the lower running and maintenance cost it offers, along with zero tailpipe emissions. Range anxiety is one of the only concern that affects the adoption of electric vehicles. The state of charge of the traction battery pack has to be accurately determined and provided to the user to avoid range anxiety. Minute battery parameters has to be considered to improve the accuracy of the state of charge determination. In order to overcome the problem of range anxiety, an innovative strategy that takes into account how vibrations affect the performance of EV batteries is developed in this research. By doing this, the state of charge estimation precision is improved and thereby raises the drivers faith in electric vehicles. The impacts and vibrations felt on the traction battery pack during driving would lead to heat generation. The heat generated is found to be highest when the vibrations resonate at the natural frequencies of the traction battery pack. The natural frequency of the battery pack is considered when the battery is kept in the battery chamber of the two-wheeler electric vehicle. The vibrations at natural frequency produces heat which is accounted for when the state of charge is determined. To obtain accurate state of charge estimation, a Kalman filter-based approach is used. The Kalman filter-based estimation uses the conventional methods which are the open circuit voltage method and the Coulomb counting method to improve the estimation process along with the consideration of the heat component due to vibrations and impact. The vibration analysis is performed using MATLAB, while the state of charge determination is implemented in hardware and the Kalman estimation done using Python. The system is modelled on an electric two-wheeler platform and the testing is done to compare the state of charge accuracy of the open circuit voltage method, the Coulomb counting method and the Kalman filter-based estimation approach. The inclusion of the vibrational heat analysis for State of Charge estimation in the hardware testing of the electric two-wheeler provides an accurate state of charge value. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
Chacko P.J.; Krishna S.M.; Nuvvula R.S.S.; Stonier A.A.; Kumar P.P.; Ogale J.; Khan B.
Electrical Engineering, Vol-106, No. 2, pp. 1327-1338.
Springer Science and Business Media Deutschland GmbH
Chacko P.J., Department of Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India; Krishna S.M., Manager-Research, TCI-IIMB Supply Chain Sustainability Lab, Supply Chain Management Centre, Indian Institute of Management, Bangalore, India; Nuvvula R.S.S., Department of Electrical and Electronics Engineering, NMAM Institute of Technology, NITTE (Deemed to be University), Karnataka, Karkala, 574110, India; Stonier A.A., School of Electrical Engineering, Vellore Institute of Technology, Vellore, India; Kumar P.P., Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, India; Ogale J., Department of Electronics Engineering, Samrat Ashok Technological Institute, MP, Vidisha, 464001, India; Khan B., Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia, Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg, South Africa
Algebraic graph; coset component graph; coset component signed graph
In this paper, the notion of a newly derived signed graph called a coset component graph, based on cosets of subgroups of a group is introduced. Let G be a group and H be its subgroup. Then, the coset component graph of H in G, denoted by ?cc, is a simple graph with the vertex set consisting of elements of G and two vertices say, a, b ? ?cc are adjacent if either aH = bH or Ha = Hb. A coset component signed graph of H in G is a signed graph whose edges get the sign in accordance with their inclusion in the edge set of the corresponding coset component graph. The structure and important properties of the coset component signed graphs are determined in this paper. 2024 World Scientific Publishing Company.
Discrete Mathematics, Algorithms and Applications, Vol-16, No. 3
Amreen J., 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
Energy-efficient low-power LED-mediated effective photodegradation of cationic and anionic dyes by phthalocyanine-based COF sensitized ZnO photoactive material
2D COF; Cationic and anionic dyes; LED light source; Photodegradation; Phthalocyanine
The present work involves the synthesis of 2D covalent organic framework involving zinc phthalocyanine and perylene systems (2DZnPc) as low-power LED visible-light sensitizer for ZnO nanomaterial. The synthesized materials and their composites (2DZnPc@ZnO) were characterized by Fourier transform infrared spectroscopy (FTIR), powder X-ray diffraction (XRD), Scanning electron microscopy (SEM), and Solid-state diffuse reflectance spectrophotometer to understand the structure, size, morphology, and optical properties. To examine the photodegradation competence of ZnO alone and its four different composites (2DZnPc@ZnO5, 2DZnPc@ZnO10, 2DZnPc@ZnO15, and 2DZnPc@ZnO20) in the presence of the energy-efficient low-power white LED (16 W) as source of visible light, and as modular pollutants, cationic methylene violet (MV) and anionic Eosin Y (EY) dyes were employed. The effect of different parameters on photocatalytic activity such as photocatalyst dosage, interaction time, pH of dye solution, and photocatalyst re-usage is examined. The results indicate that photosensitizing ZnO with 2DZnPc improved photocatalytic performance for the photodegradation of MV and EY dyes substantially. In an optimized environment, the removal efficiency of MV and EY was found to be 98 and 92 % respectively in 90 min. 2024 Elsevier Ltd
Rajappa S.; Shivarathri P.G.; Rajappa M.H.; Devendrachari M.C.; Kotresh H.M.N.
https://doi.org/10.1016/j.poly.2024.116881 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186126851&doi=10.1016%2fj.poly.2024.116881&partnerID=40&md5=4a931ced4f3008185dd465e5f23eed88
Rajappa S., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be University) Mysore Road, Karnataka, Bengaluru, 560074, India; Shivarathri P.G., Department of Chemistry, New Horizon College of Engineering, Outer ring road, Karnataka, Bangalore, 560103, India; Rajappa M.H., Department of Chemistry, Bapuji Institute of Engineering and Technology, Karnataka, Davanagere, 577004, India; Devendrachari M.C., Interaction Laboratory, Future Convergence Engineering, Advanced Technology Research Center, Korea University of Technology and Education, Chungcheongnam-do, Cheonan-si, 31253, South Korea; Kotresh H.M.N., Department of Chemistry, Acharya Institute of Technology, Karnataka, Bangalore, 560107, India
Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks
Convolutional Neural Networks; Data Mining; E-commerce; Sales Forecasting
The exponential development of e-commerce in recent decades has enhanced convenience for individuals. Compared to the conventional business environment, e-commerce is characterized by increased dynamism and complexity, resulting in several obstacles. Data mining assists individuals in effectively addressing these difficulties. Traditional data mining cannot efficiently use big data in the power provider industry. It heavily relies on time-consuming and labor-intensive feature engineering, and the resulting model could be more easily scalable. Convolutional Neural Networks (CNN) can efficiently use vast amounts of data and autonomously extract valuable elements from the original input, resulting in increased effectiveness. This article utilizes a CNN to extract valuable insights from e-commerce information to forecast commodities sales accurately and proposes a CNN-based Sales Forecasting Model (CNN-SFM). The findings indicate that using data mining and CNN yields a high level of precision in forecasting forthcoming people buying capacity data. The correlation variable between actual usage information and projected usage information was 0.98, and the highest mean error was just 1.78%. Data mining can effectively extract hidden relevant information and forecast future consumption habits for e-commerce systems. CNN demonstrates proficiency in accurately predicting forthcoming consumption power and trends. The Research Publication.
David Winster Praveenraj D.; Prabha T.; Kalyan Ram M.; Muthusundari S.; Madeswaran A.
Indian Journal of Information Sources and Services, Vol-14, No. 2, pp. 139-145.
https://doi.org/10.51983/ijiss-2024.14.2.20 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200140267&doi=10.51983%2fijiss-2024.14.2.20&partnerID=40&md5=d1011f3662811849e94ba1c5aa726c28
David Winster Praveenraj D., School of Business and Management, Christ University, Bangalore, India; Prabha T., Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India; Kalyan Ram M., Department of Computer Science and Engineering, Aditya Engineering College, Surampalem, India; Muthusundari S., Department of Computer Science and Engineering, R.M.D. Engineering College, Kavaraipettai, India; Madeswaran A., Department of School of Business Management, Christ University, Bengaluru, India