Assessing the role of trade openness, FDI, and political stability on sustainable development: Evidence from developed and developing economies
The study tries to investigate the long run and short run relationship between trade openness (TO), political stability (PO), and FDI on sustainable development of select developed and developing nations. Time series data from 1995 to 2021 of about 25 economies-10 developed economies and 15 developing economies-was collected and analyzed using Phillips Perron Fisher panel unit root test, panel auto regressive distributed lag (PARDL) model, and panel fully modified least squares/fully modified OLS. From the result, it found that FDI and TO are positively contributing to sustainability development index (SDI) in developing countries rather than the developed countries in the long run. In addition to this, changes in the SDI score is significantly influenced by the present and past import and export activities in developed as well as developing economies in the short run. 2023, IGI Global. All rights reserved.
Pachiyappan S.; Jabez J.P.; Shylaja H.N.; John Paul R.V.; Vellaiyan S.
Promoting Sustainable Management Through Technological Innovation, pp. 100-116.
Pachiyappan S., CHRIST University (Deemed), India; Jabez J.P., CHRIST University (Deemed), India; Shylaja H.N., Department of Commerce, Manipal Academy of Higher Education, Manipal, India; John Paul R.V., CHRIST University (Deemed), India; Vellaiyan S., CHRIST University (Deemed), India
Assessing the Skill Sets from the NEP Policy 2020: Scale Development and Validation
commerce and management skill set; communal-based skills; employability skills; higher education; individualistic skills; national education policy (NEP); social and emotional learning
Purpose: The central aspect of this paper is the National Education Policy (NEP) 2020, an education-based policy in the Indian context. The article captured the opportunities from the perspective of the skill set it offers to its important stakeholders, students; the current research has aimed to propose and validate an instrument to measure the skill set identified from the NEP document and academic expertise, which could be used to measure students skill-based performance. Design/Methodology/Approach: The first section used EFA to establish four skill sets: Employability Skills, Communal-Based Skills, Social and Emotional Skills, and Individualistic Skills. The CFA model was further deployed to confirm the factors; the study was administered to a sample of 820 students from various commerce and management colleges from South and North Bangalore. Findings: The research results could be applied to evaluate the effectiveness of skill sets on students performance to create holistic education. Originality: The first step is to develop and validate scales for measuring skill sets under NEP 2020. Second, in accordance with the pupils order of priority, to close the gap between the talents stated and those observed. Research Limitations/Implications: The study was conducted only with students of commerce and management disciplines in Bangalore. Practical Implications: NEP has placed a greater emphasis on competency development and skill enhancement, which aids in the development of higher-order cognitive, social-emotional, and 21st-century abilities necessary for employment in the future. NEP gave greater autonomy to students to choose their learning pathway and develop skill sets, which are likely to make them job creators, thereby giving rise to the entrepreneurial culture. Social Implications: To cultivate an aspirational student body, it is critical to instill the necessary skill sets in pupils. Policymakers and decision-makers could then organize their courses using these skill sets. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Spoorthy Reddy M.; Pavithra V.; Thomas M.R.
Prabandhan: Indian Journal of Management, Vol-17, No. 9, pp. 44-59.
Associated Management Consultants Pvt. Ltd.
https://doi.org/10.17010/pijom/2024/v17i9/173941 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205237017&doi=10.17010%2fpijom%2f2024%2fv17i9%2f173941&partnerID=40&md5=e67a2d3a4277542bc6fda3b5b4e59f18
Spoorthy Reddy M., School of Commerce, Finance and Accountancy, Central Campus, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Pavithra V., School of Commerce, Finance and Accountancy, Central Campus, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Thomas M.R., School of Commerce, Finance and Accountancy, Central Campus, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India
Assessing transmission excellence and flow detection based on Machine Learning
Machine learning; Optical network; Packet switched optical network; Photonic switching; Scheduling algorithm
Excellence in transmission can be assessed in optical transport networks before providing any additional connections or upgrading the connections. Generally, the Physical Layer Model (PLM) is used to assess the transmission quality which has high probability in uncertainty and inaccuracy due to the circumstances of physical layer. The network efficiency is directly proportional to the margins. If the margins getting increases in the PLM, the efficiency of the network decreases. Maintaining the excellence in transmission is the biggest challenge when the margins getting increased. Other significant factors for excellence in transmission is scalable, minimum latency with maximum speed and energy efficient. Photonic switching is a hopeful solution for handling these challenges. Machine learning technique is proposed to assess the excellence of transmission and flow detection. ML-E and Precedence based scheduling algorithms are proposed for excellence of transmission and flow detection respectively. The proposed techniques justify variations, uncertainties in kits like fiber dilution, dispersion and optimizes PSON (packet switched optical network). Simulation results are demonstrated and the proposed work results indicates that it can outperform a benchmark in all aspects. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Suresh A.; Kishorekumar R.; Kumar M.S.; Elaiyaraja K.
Optical and Quantum Electronics, Vol-54, No. 8
Suresh A., Department of Networking and Communications, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chengalpattu, Tamil Nadu, Chennai, 603203, India; Kishorekumar R., Department of Electronics and Communication Engineering, School of Engineering and Technology, CHRIST University, Karnataka, Bangalore, 560074, India; Kumar M.S., Department of CSE, SRM Valliammai Engineering College, Tamil Nadu, Chennai, 603203, India; Elaiyaraja K., Tech Lead, Eagle Software Pvt. Ltd., Tamil Nadu, Chennai, 600006, India
Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy
Artificial intelligence; Data science; Digital learning platform; Digital literacy; Evaluation methodologies; Higher education; Pythagorean fuzzy
The devastating effects of the 2020 worldwide COVID-19 virus epidemic prompted widespread lockdowns and restrictions, which will continue to be felt for decades. The repercussions of the pandemic have been most noticeable among educators and their students, which boosts the effectiveness of various AI-based learning systems in the education system. This study examines the AI-based digital learning platforms in higher education institutions based on various characteristics and uses of these systems. Several significant aspects of AI-based digital learning systems were obtained from the available literature, and significant articles were selected to properly examine various characteristics and functions of AI-based digital learning platforms used by multiple higher education institutions. The analytical hierarchy process (AHP) is employed to rank multiple AI-based learning systems based on key factors and their sub-factors. The studys outcome revealed which AI systems are effectively used in developing digital learning systems by various higher education institutions. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024.
Singh V.V.; Kumar N.; Singh S.; Kaul M.; Gupta A.K.; Kapur P.K.
International Journal of System Assurance Engineering and Management, Vol-15, No. 8, pp. 4069-4084.
Singh V.V., Symbiosis Centre for Management Studies, Noida, Symbiosis International (Deemed University), Pune, India; Kumar N., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Singh S., Symbiosis Law School, Noida, Symbiosis International (Deemed University), Pune, India; Kaul M., Symbiosis Law School, Noida, Symbiosis International (Deemed University), Pune, India; Gupta A.K., Amity International Business School, Amity University, U.P, Noida, India; Kapur P.K., Amity Centre for Interdisciplinary Research, Amity University, U.P, Noida, 201313, India
Assessment of Attitude and Knowledge of Law Students towards Tele-evidence Facility for Doctors
Burden on doctors; Court hearings; Doctors' roles; Tele-evidence
A doctor's role not only includes patient care but also to provide evidence in the court as and when called upon to do so. Evidence giving in the court leads to an additional burden on the doctor with regards to the time and money spent on travelling, cancellation of the hearing after reaching the court, etc. An alternative for all these problems can be tele-evidence. This study aims to know the attitude and perception of final year undergraduate law students towards tele-evidence facilities for doctors. A cross sectional study was done using a questionnaire-based survey. The Likert scale questionnaire was used to assess the attitude, and the Cronbach alpha coefficient checked the Likert items' internal consistency. The analysis of the data was done using SPSS version 25. When summarised by median and mode for the individual Likert items, the results showed that the final year undergraduate law students have a positive outlook towards tele-evidence facilities for doctors but lack exposure to such advances. A study taking into account the opinion of practising lawyers and judges, especially those who have done court hearings using tele-evidence facilities for doctors, needs to be done. 2024, Indian Academy of Forensic Medicine. All rights reserved.
Choudhary R.; Shetty B.S.K.; Shetty P.H.; Salian D.; Shetty T.; Sharma A.P.
Journal of Indian Academy of Forensic Medicine, Vol-46, No. 1, pp. 136-138.
https://doi.org/10.48165/jiafm.2024.46.1(Suppl).8 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201694902&doi=10.48165%2fjiafm.2024.46.1%28Suppl%29.8&partnerID=40&md5=0d756254e82573db4644f8e976e0ceb5
Choudhary R., Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India; Shetty B.S.K., Department of Forensic Medicine and Toxicology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India; Shetty P.H., Department of Forensic Medicine and Toxicology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India; Salian D., Department of Law, SDM Law College, Kodialbail, Mangalore, India; Shetty T., Department of Law, SDM Law College, Kodialbail, Mangalore, India; Sharma A.P., School of Law, Christ (Deemed to be University), Bangalore, India
Assessment of Battery Technologies for Future of Electro-Mobility in Emerging Markets
battery chemistry; charging; discharging; electric vehicle; lithium-ion battery
In the outset of economic growth, the emerging country like India faces challenges due to rapid urbanization, infrastructure and city-congestion. The increased demand for mobility and a pivotal role of internal combustion engines from decades in the transportation segment have led to two influencing factors i.e., increased dependency on the oil import from fuel rich countries and alarming levels of emission. Hence it is essential for a country like India to venture into newer technologies to reform the transportation segment, reduce the dependency on the oil import and also has a positive impact on the pollutants. There are few technological barriers for the development of electric vehicles over internal combustion (IC) engines in terms of cost and performance of the vehicle. Along with the reduction of emissions, the electric vehicles should exhibit considerably good specific energy density and specific power density to emulate over the conventional (IC) engines. The three major constituents of electric vehicles are the battery, electric engine and the controller. The energy storage device forms the crux of the electric vehicle and has a significant role in its performance as well as forms the expensive component of the vehicle. Hence this paper involves the evaluation of various battery technologies, their performance requirements and options feasible for electric vehicles of the future. 2018 IEEE.
Proc. IEEE Conference on Emerging Devices and Smart Systems, ICEDSS 2018, pp. 117-120.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICEDSS.2018.8544312 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060040493&doi=10.1109%2fICEDSS.2018.8544312&partnerID=40&md5=87066fe5b9d6ba14830a8cd6d4af8da5
Roopali, Department of Electrical and Electronics Engineering, Christ University, Bengaluru, 560074, India; Ramachandra P., Bosch Limited, Bengaluru, 560030, India; Rodrigues J., Department of Electrical and Electronics Engineering, Christ University, Bengaluru, 560074, India
Assessment of bioactivity of the novel exopolysaccharide secreted by Bacillus subtilis isolated from the gut of marine anchovies
Bacterial Polysaccharide; Characterization; Exopolysaccharide; Microscopy; Probiotic; Secretory substances
The current work focuses on the isolation, characterization, and purification of an exopolysaccharide secreted by a novel bacterium isolated from dried anchovies. The bacterium was identified as Bacillus subtilis using 16S sequencing. B. subtilis in MRS medium produced exopolysaccharide (EPS), which gave a maximum yield of 1928 mg/L. The total molecular weight of the polysaccharide present was around 20 kDa. Fourier-transform infrared spectroscopy of the EPS displays the existence of methylene, carboxyl, and hydroxyl groups. Atomic force microscopy indicates a highly cross-linked structure with lumps. Scanning electron microscopy studies showed a coarse surface. The EPS also showed emulsification potential. This study shows that the EPS is a prospective candidate for further studies on their applications. 2024 Thejaswi Bhandary and Paari Kuppusamy Alagesan.
Journal of Applied Biology and Biotechnology, Vol-12, No. 1, pp. 205-212.
https://doi.org/10.7324/JABB.2024.147409 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180922458&doi=10.7324%2fJABB.2024.147409&partnerID=40&md5=a22713b5b6a74a521b0bf4632fd8bc96
Bhandary T., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India; Alagesan P.K., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India
Assessment of composite materials on encrypted secret message in image steganography using RSA algorithm
Least significant bit (LSB); RSA algorithm; Stego-image
The use of the internet in this modern era is increased many fold. The communications between different peers take place in digital form. While sharing the messages between different recipients, the confidentiality of the messages is very important. For creating the high level of security while sharing the secret messages, the cryptographic algorithms are introduced along with steganography. Image Steganography is a methodology used to hide the messages inside of the cover image. Initially, the secret information is encrypted by using the RSA Algorithm. Then the encrypted secret information is hidden in the Least Significant Bit (LSB) of the different components of the color image in such a way that the original quality of the image to be minimized. The recipient of the message is able to retrieve the encrypted secret message from the LSB bit of stego_image and then the cipher text is converted into original plain text by using the RSA algorithm. The proposed algorithm verified and analysed its performance against the different combinations of key pairs. 2021 Elsevier Ltd. All rights reserved.
Karthikeyan N.; Kousalya K.; Jayapandian N.; Mahalakshmi G.
Materials Today: Proceedings, Vol-81, No. 2, pp. 848-852.
https://doi.org/10.1016/j.matpr.2021.04.260 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183526860&doi=10.1016%2fj.matpr.2021.04.260&partnerID=40&md5=a0c3556d21668c6aab3924649491efcd
Karthikeyan N., Department of Computer Science and Engineering, Government College of Engineering, Sengipatti, Tamil Nadu, Thanjavur, India; Kousalya K., Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, Erode, India; Jayapandian N., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, India; Mahalakshmi G., Department of Computer Science and Engineering, Government College of Engineering, Sengipatti, Tamil Nadu, Thanjavur, India
Assessment of diversity, abundance, and seasonal variatons of bird species in Bengaluru District, India during COVID-19 lockdown
Avian abundance; bird diversity; conservaton; lockdown efects; polluton indices; species evenness; species richness; threatened species; water bodies
The study investgates bird populaton dynamics in Bengaluru, India, post-lockdown, focusing on occurrence, seasonal abundance, species diversity, richness, dominance, and evenness. It covers 55 bird species across 52 genera, grouped into 32 families within 13 orders, with a notable peak in winter. Various indices, including Shannon Wiener, Margalefs, Pielous, and Simpsons, reveal signifcant seasonal diferences in bird populaton characteristcs. The Rock Pigeon Columba livia dominates, while the Black-headed Ibis Threskiornis melanocephalus is less prevalent. The study identfes Near Threatened species like Black-headed Ibis and Oriental Darter Anhinga melanogaster, along with Least Concern species per the IUCN Red List. Common species include Rock Pigeon, Large-billed Crow Corvus macrorhynchos, House Crow Corvus splendens, Black Drongo Dicrurus macrocercus, Brown Shrike Lanius cristatus, Common Myna Acridotheres trists, Jungle Myna Acridotheres fuscus, Red-whiskered Bulbul Pycnonotus jocosus, and Streak-throated Swallow Petrochelidon fuvicola. The study aims to inform improved management and conservaton strategies for Bengalurus diverse bird species. Hemanth et al. 2024. Creatve Commons Atributon 4.0 Internatonal License. JoTT allows unrestricted use, reproducton, and distributon of this artcle in any medium by providing adequate credit to the author(s) and the source of publicaton
Journal of Threatened Taxa, Vol-16, No. 1, pp. 24557-24567.
Hemanth H., Department of Lifesciences, CHRIST (Deemed to be University), Dharmaram College Road, Hosur Road, Karnataka, Bengaluru, 560029, India; Vinanthi R.K.S., Department of Lifesciences, CHRIST (Deemed to be University), Dharmaram College Road, Hosur Road, Karnataka, Bengaluru, 560029, India; Paari K.A., Department of Lifesciences, CHRIST (Deemed to be University), Dharmaram College Road, Hosur Road, Karnataka, Bengaluru, 560029, India
Assessment of Enablers for Adoption of Blockchain Technology in the Indian Hospitality Industry
Purpose The chapter attempts to analyse various enablers for implementing blockchain technology in the Indian hospitality sector and examine the appropriate set of facilitators through the causal interactions among the enablers. Design/methodology/approach To analyse the enablers for the adoption of blockchain, the tool used is the decision-making trial and evaluation laboratory (DEMATEL), which captures the judgements provided by the experts in the field for the cause-and-effect enablers and the interaction effect among these enablers. Findings The literature suggests fifteen enablers classified into cause-and-effect enabler groups and interactions (i.e., enabling and enabled) among each blockchain adoption practice. The study reveals a reduction in cost and transparency as the most significant cause enablers and the effect variables as trust and database security. Research limitations/implications The results generate various enablers that can be focused upon for bringing out various significant interventions in the field. The study, however, provides an understanding of the enablers for this specific industry in the Indian context. Practical implications The results may be useful for devising policies and managerial implications related to adopting blockchain technology in the hospitality sector. Originality/value Very few researchers have integrated the role of grey DEMATEL techniques in the hospitality industry. 2024 selection and editorial matter, Park Thaichon, Pushan Kumar Dutta, Pethuru Raj Chelliah and Sachin Gupta; individual chapters, the contributors.
Technology and Luxury Hospitality: Ai, Blockchain and the Metaverse, pp. 116-134.
Sharma S., Department of Management Sciences, Indian Institute of Technology, Kanpur, India; Raghavendra Rao R., Christ Deemed to be University, School of Business Management, Bengaluru, India
Assessment of male millennial digital purchase intent with regard to online fashion
There has been a tremendous growth in the number of people opting for online purchases in recent years especially among the tech savvy millennials not just in tier 1 city by also in tier 2 and 3 cities of Karnataka, Reasons for such a massive growth can be a result of several benefits offered by online shopping such as convenience, time-saving, reduces time and cost of travelling and avoiding traffic chaos in metro cities and so on. Also, we can observe from previous studies that online shopping is widely preferred by females when compared to males in India and also male millennials are reluctant to opt for online purchases (Chaudhary et al.2022). Thus, there exists a need to find out the factors affecting digital purchase intent among male millennials with regard to online fashion Purchases. This study aims to assess the validity and reliability of the measurement instrument, assess the issues and challenges faced by male millennials and mediating effect of e-satisfaction and e-experience. 2024, IGI Global. All rights reserved.
Enhancing and Predicting Digital Consumer Behavior with AI, pp. 105-125.
Venkatesh A., Christ University, India; Aruna P., Christ University, India
Assessment of microsatellite instability for screening bladder cancer in high-risk population
Bladder cancer; microsatellite instability; microsatellite markers
Aims: This study aims to determine the diagnostic efficacy of microsatellite markers for screening bladder cancer in population at high risk. Materials and Methods: A population of 200 people was screened for bladder cancer using a set of microsatellite markers. Urine samples were obtained from four different types of population groups - Group 1 (healthy population group), Group 2 (current smokers with a smoking history of more than 10 years), Group 3 (bladder cancer group), and Group 4 (bladder cancer group who were former smokers with a history of more than 10 years). Polymerase chain reaction (PCR) was performed to amplify microsatellite sequences at D9S63, D9S156, and D9S283. PCR products were separated on 1.8% agarose gel and were scanned using ultraviolet transilluminator. Results: In Group 2 (high-risk population group, mainly current smokers with a history of more than 10 years), microsatellite alterations were found in 36 out of 50 people. We observed microsatellite alterations in 38 out of 50 people in Group 3 (bladder cancer group) and in 39 out of 50 people in Group 4 (bladder cancer group, mainly former smokers with a history of more than 10 years). The sensitivity of this test in Group 2, Group 3, and Group 4 was found to be 72%, 76% and 78%, respectively. The specificity of this test in each group was found to be 90%. Conclusion: Using these set of microsatellite markers, medium sensitivity and high specificity were reported for this test. The current findings suggest that a set of microsatellite markers (D9S63, D9S156, and D9S283) can be used to detect bladder cancer in high-risk population. 2018 Medknow Publications. All Rights Reserved.
Wadhwa N.; Mathew B.; Tandon S.; Biju V.; Tiwari A.
Journal of Cancer Research and Therapeutics, Vol-14, No. 5, pp. 916-920.
https://doi.org/10.4103/jcrt.JCRT_346_13 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053342351&doi=10.4103%2fjcrt.JCRT_346_13&partnerID=40&md5=f8325244f6b39060b028de8f3dc31e8c
Wadhwa N., School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, State Technological University of Madhya Pradesh, Airport Bypass Road, Bhopal, Madhya Pradesh, 462 033, India; Mathew B., School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, State Technological University of Madhya Pradesh, Airport Bypass Road, Bhopal, Madhya Pradesh, 462 033, India; Tandon S., Jawaharlal Nehru Cancer Hospital and Research Centre, Idgah Hills, Bhopal, Madhya Pradesh, India; Biju V., Department of Computer Science and Engineering, Christ University, Kanmaike, Kumbalagodu, Bengaluru, Karnataka, India; Tiwari A., School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, State Technological University of Madhya Pradesh, Airport Bypass Road, Bhopal, Madhya Pradesh, 462 033, India
Assessment of ML techniques and suitability to predict the compressive strength of high-performance concrete (HPC)
Extended deep neural network (EDNN); High-performance concrete (HPC); Multi-objective jellyfish optimization (MOJO); Strength characteristic
Using industrial soil waste or secondary materials for making cement and concrete has encouraged the construction industry because it uses fewer natural resources. High-performance concrete (HPC) is recognized for its exceptional strength and sturdiness compared to conventional concrete. Accurate prediction of the compressive concentration of HPC is vital for optimizing the concrete mix design and ensuring structural integrity. Machine learning (ML) techniques have shown promise in predicting concrete properties, including compressive strength. This research focuses on various ML techniques for their suitability in predicting the compressive dilution of HPC. In this research, the Extended Deep Neural Network (EDNN) technique is used to analyze the strengths, limitations, and performance of different ML algorithms and identify the most effective methods for this specific prediction task. However, there is a problem with accuracy. Therefore, our research approach is the EDNN-centred strength characteristics prediction of HPC. In the suggested approach, data is initially acquired. Afterward, the data is pre-processed through normalization and removing missing data. Thus, the data are fed into the EDNN algorithm, which forecasts the strength characteristics of the particular mixed input designs. With the Multi-Objective Jellyfish Optimization (MOJO) technique, the value of weight is initialized in the EDNN. The activation function is the Gaussian radial function. In the experimental analysis, the implementation of the suggested EDNN is evaluated to the performance of the prevailing algorithms. When compared to current research methodologies, the proposed method performs better in this regard. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
Gupta M.; Upreti K.; Yadav S.; Verma M.; Mageswari M.; Tiwari A.
Asian Journal of Civil Engineering, Vol-25, No. 8, pp. 5741-5752.
Gupta M., Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi, India; Upreti K., CHRIST University, Delhi NCR Campus, Ghaziabad, India; Yadav S., Jaypee Business School, JIIT, Sector-62, Noida, India; Verma M., GLA University, Mathura, India; Mageswari M., Panimalar Engineering College, Chennai, India; Tiwari A., CHRIST University, Delhi NCR Campus, Ghaziabad, India
Assessment of mutagenicity caused by popular baby foods and baby plastic-ware products: An imperative study using microbial bioassays and migration analysis
Baby plasticware; Commercial infant feeding products; Migration analysis; Mutagenicity; Salmonella mutagenicity assays
Specialized products for infants have become every parent's first choice. Although these products claim to be safe and mild for infant use, yet there is a need to monitor them using different tools for mutagenicity detection to ensure further safety. In this study, a range of popular ready to eat and powdered baby foods, formula milk powders and attractive plasticware for infants were picked from the Indian market and tested for their mutagenicity using two microbial bioassays based on Salmonella typhimurium, viz., Ames bacterial reversion assay and fluctuation assay. Furthermore, chemical migration analysis was done on the most toxic baby food and baby plasticware samples as shown by the bioassays to detect possible leaching of Bisphenol a (BPA), lead and Di-2 ethyl hexyl phthalate (DEHP). It was surprising to find that the products made for the most risk-prone group in the society, i.e., infants have a significant potential to cause mutagenicity. 2018 Elsevier Inc.
Nepalia A.; Singh A.; Mathur N.; Kamath R.; Pareek S.
Ecotoxicology and Environmental Safety, Vol-162, pp. 391-399.
ISSN: 1476513; PubMed ID: 30015184; CODEN: EESAD
https://doi.org/10.1016/j.ecoenv.2018.07.002 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049747914&doi=10.1016%2fj.ecoenv.2018.07.002&partnerID=40&md5=2c18192c369697e26e245a3ecc76e826
Nepalia A., Environmental Molecular Microbiology Lab (EMM), Department of Zoology, University of Rajasthan, Jaipur, 302004, India; Singh A., EMM Lab, Department of Zoology, University of Rajasthan, Jaipur, 302004, India; Mathur N., EMM Lab, Department of Zoology, University of Rajasthan, Jaipur, 302004, India; Kamath R., Economics and Quantitative Techniques Group, CHRIST (Deemed to be University), Bengaluru, 560074, India; Pareek S., Environmental Molecular Microbiology Lab (EMM), Department of Zoology, University of Rajasthan, Jaipur, 302004, India
Assessment of SERVQUAL Model in Hospitals Located in Tier II Cities of India
gap score; information systems in healthcare; service quality; SERVQUAL model; Tier II cities
Service quality, being an assessment of services offered to a customer or the extent to which the services offered meets customers expectations, plays a significant role in healthcare industry. Patients pay hefty prices for the services they avail from specialty hospitals and they demand quality services. Hospitals have a larger challenge in delivering these services effectively to the patients. The current study helps us understand the role of information systems in service delivery process. Most of the hospitals have adopted healthcare information systems due to the benefit it provides. The study attempts to analyze the impact of information systems on service quality in the hospitals which are located in Tier II cities. The popular SERVQUAL model is adopted for this purpose. Patients who visit the hospitals were part of the respondent group. Gap score is found in order to observe the expected and actual experience of the patients based on five dimensions. 2018, 2018 Indian Institute of Health Management Research.
Journal of Health Management, Vol-20, No. 1, pp. 28-37.
https://doi.org/10.1177/0972063417747698 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042290075&doi=10.1177%2f0972063417747698&partnerID=40&md5=2d34bbd8acde7f94bca4beecf80a1098
Madhura Prabhu A., Institute of Management, Christ University, Bengaluru, Karnataka, India; Iyer L.S., Institute of Management, Christ University, Bengaluru, Karnataka, India
Assessment of Shear Stress Distribution in Meandering Compound Channels with Differential Roughness Through Various Artificial Intelligence Approach
Artificial intelligence techniques, channel division; Meandering compound channel; Relative roughness, shear force distribution
Accurate prediction of shear stress distribution along the boundary in an open channel is the key to solving numerous critical engineering problems such as flood control, sediment transport, riverbank protection, and others. Similarly, the estimation of flow discharge in flood conditions is also challenging for engineers and scientists. The flow structure in compound channels becomes complicated due to the transfer of momentum between the deep main channel and the adjoining floodplains, which affects the distribution of shear force and flow rate across the width. Percentage sharing of shear force at floodplain (%Sfp) is dependent on the non-dimensional parameters like width ratio of the channel (?) , relative depth (?) , sinuosity (s) , longitudinal channel bed slope (So) , meander belt width ratio (?) , and differential roughness (?). In this paper, various artificial intelligence approaches such as multivariate adaptive regression spline (MARS), group method of data handling Neural Network (GMDH-NN), and gene-expression programming (GEP) are adopted to construct model equations for determining %Sfp for meandering compound channels with relative roughness. The influence of each parameter used in the model for predicting the %Sfp is also analyzed through sensitivity analysis. Statistical indices are employed to assess the performance of these models. Validation of the developed %Sfp model is performed for the experimental observations by conventional analytical models; to verify their effectiveness. Results indicate that the proposed GMDH-NN model predicted the %Sfp satisfactorily with the coefficient of determination (R2) of 0.98 and 0.97 and mean absolute percentage error (MAPE) of 0.05% and 0.04% for training and testing dataset, respectively as compared to GEP and MARS. The developed model is also validated with various sinuous channels having sinuosity 1.343, 1.91 and 2.06. 2021, The Author(s), under exclusive licence to Springer Nature B.V.
Mohanta A.; Pradhan A.; Mallick M.; Patra K.C.
Water Resources Management, Vol-35, No. 13, pp. 4535-4559.
Springer Science and Business Media B.V.
Mohanta A., School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India; Pradhan A., Department of Civil Engineering, School of Engineering and Technology, CHRIST (Deemed To Be University), Bengaluru, 560029, Karnataka, India; Mallick M., Department of Civil Engineering, National Institute of Technology Rourkela, Odisha, 769008, India; Patra K.C., Department of Civil Engineering, National Institute of Technology Rourkela, Odisha, 769008, India
Assessment of the strength of grignard reagent for the synthesis of secondary and tertiary alcohols of terpenes using metal plate flow reactor
Allyl magnesium chloride; Carbonyl compounds; Flow process; Grignard reagent; Metal plate reactor; Terpene alcohols
The secondary and tertiary alcohols of terpenes were synthesized from aldehydes, and ketones using allyl magnesium chloride by the continuous metal flow reactor method. The flow process was conducted using metal plate reactors of 10 ml capacity in the presence of solvent mixtures, instead of large amounts of pure solvent like tetrahydrofuran. The products were isolated, and confirmed using gas chromatography and Nuclear magnetic resonance techniques respectively. Subsequently, the optimization studies were conducted to obtain mild, and economical reaction conditions, by varying the amount of allyl magnesium chloride, temperature, pressure, retention time, and flow rates. A comparison between batch processes and flow processes proved the advantages of the flow process in terms of reproducibility and product yield without the requirement of excess reagents compared to the batch process. The product yield was found to be excellent (6097 %) and reproducible at (150) gram scale through flow process. The scope of the reaction was studied by synthesizing terpene alcohols using different carbonyl compounds at optimized reaction conditions, which resulted in high product yield. This research addresses a crucial gap in terpene alcohol synthesis, offering a scalable and environmentally friendly approach with broad applicability. 2024
Kopparapu I.; Chidambaram R.R.; Binish C.J.; Vijayasankar A.V.; Chundattu S.J.; Cheedarala R.K.
https://doi.org/10.1016/j.rineng.2024.102183 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193901820&doi=10.1016%2fj.rineng.2024.102183&partnerID=40&md5=717fc9daa799b94063ac5689c95f4330
Kopparapu I., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Chidambaram R.R., Supramolecular and Organometallic Chemistry Lab, Department of Inorganic Chemistry, School of Chemistry, Madurai Kamaraj University, Tamil Nadu, Madurai, 625021, India; Binish C.J., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Vijayasankar A.V., Department of Science and Humanities, CHRIST (Deemed to be University), Bengaluru, 560074, India; Chundattu S.J., Department of Science and Humanities, CHRIST (Deemed to be University), Bengaluru, 560074, India; Cheedarala R.K., Research Institute of Mechatronics, Department of Mechanical Engineering, Changwon National University, Changwon City, South Korea
Assessment of thermal barrier effects across 8%Y2O3-ZrO2 coatings on Al-Si substrates via electrical heating source
Ceramic Thermal Barrier Coatings (TBCs) provide protection to metals from degradation at high temperature. A major factor deciding the effectiveness of the coating in service is the temperature drop across the thickness of the coating. Common practice to determine the temperature drop is to subject the coating with a high heat providing flame with preset velocity by using combustible gases focused towards the coated surface, that keep the surface at desired stabilization temperature and the temperature is measured at the back side of the coating, i.e. at the metal side. The challenge is to heat the complete specimen surface using the flame and to reach an accurate stabilization temperature by using the flame as the heating source. In the present work, this challenge was overcome by using a uniform source of heat i.e. an electric heater on the entire coating surface. This paper presents the results obtained by studying the thermal barrier effects across TBCs by using the electrical heating source that provided the heat on the ceramic surface in a controlled and uniform manner, thereby establishing a newer assessment method. The TBCs were prepared by plasma spray coating commercial 8%Yttria-Stabilized Zirconia (8YSZ) as the top ceramic coat on flat plates of Aluminium 11% Silicon alloy removed from diesel engine pistons. TBC thicknesses varied between 100?m and 600?m. Air Plasma Spray coating was employed to coat the substrates which initially were spray coated with 50-75 ?m thick bond coat of Nickel Aluminide. Thermal barrier test was conducted by heating the entire coated surface uniformly and by keeping the ceramic surface temperature constant till the stabilization in the range of 300C to 500C. The temperature drop achieved was in the range of 46C to 127C depending upon the coating thickness. Details of the tests conducted and results obtained are presented. 2019 Author(s).
https://doi.org/10.1063/1.5131603 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074938531&doi=10.1063%2f1.5131603&partnerID=40&md5=cb898c47d8c0c5bb2ad4e2cfcae51324
Reghu V.R., Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to Be University), Bangalore, India; Shankar V., Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to Be University), Bangalore, India; Ramaswamy P., Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to Be University), Bangalore, India
ASSESSMENT OF WATER QUALITY IMPACTS ON CROP PRODUCTIVITY IN SALINE SOILS: INTEGRATING HYDRO CHEMICAL ANALYSIS AND CROP PERFORMANCE
atomic absorption spectroscopy; crop productivity; hydro chemical analysis; ion chromatography; irrigation management; saline soils; soil salinity mapping; water quality analysis
This study aims to address the effect of water quality on crop productivity on saline soils. Water quality parameters to be studied include salinity level, pH, oxygen concentration, nutrient, and heavy metal level. The study will particularly focus on irrigation water sources that are situated in regions characterised by saline soils. Moreover, there are intended growth experiments for the evaluation of various specific crops such as rice, wheat or maize with different levels of water quality. The study will incorporate sophisticated analytical tools including ion chromatography, atomic absorption spectroscopy (AAS), and electric field mapping (EMI) to shed light on the current water quality and soil conditions of the selected area. The experiments that we plan to conduct will involve studying the growth parameters, yield, water use efficiency and the percentage of uptake of nutrients under several water quality scenarios. The data collected in this work will ascertain the link between the values of water quality parameters, soil salinity extent and productivity of crops and will provide the basis for the creation of innovative saline soil agriculture irrigation management practices. 2024, Scibulcom Ltd.. All rights reserved.
Chavhan G.K.; Maind V.B.; Sonawane K.B.; Pujar R.P.; Acharjee P.B.; Kalra G.; Philip J.M.
Journal of Environmental Protection and Ecology, Vol-25, No. 6, pp. 1785-1794.
Chavhan G.K., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Maind V.B., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Sonawane K.B., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Pujar R.P., Department of Marketing, Indira School of Business Studies PGDM, Pune, India; Acharjee P.B., Department of Computer Science, CHRIST University, Bangalore, India; Kalra G., Department of Mechanical Engineering, Maharishi Markandeshwar (Deemed to be University), Ambala, Mullana, India; Philip J.M., Department of Computer Science and Engineering Sri Ramakrishna Institute of Technology, Tamil Nadu, Coimbatore, India
Teaching internship assessment is a blurred area in teacher education, as it involves multiple items to assess and require multiple measurement tools. The present chapter attempts to mention various teaching internship assessment practices prevailing in teacher education programmes across the globe. It also discusses a few established training assessment frameworks, assessment standards of a few countries, new experiments assessing internships as per the review of literature, value added assessment models, overall internship effectiveness, assessment after teacher training programme, and current teaching internship assessment practices of a few countries. While exploring the assessment, the chapter also details various components considered by teacher education institutes of assessment in teaching internships. The chapter provides a birds eye view of teaching internship assessment and helps the stakeholders to note, reflect, and create an indigenous effective assessment method for teaching internships. 2023 selection and editorial matter G.S. Prakasha and Anthony Kenneth; individual chapters, the contributors.
Teacher Education: An Analytical Approach to Internship Practices Around the World, pp. 195-207.
Prakasha G.S., School of Education, Christ University Central campus, Bangalore, India; Kenneth A., Jyoti Nivas Pre-University College, Bangalore, India