Evaluating the impact of a multidimensional Well-being intervention for micro, small-, and medium-sized enterprise workers in Assam, India: A single-group feasibility study
holistic health; holistic well-being; integrated intervention; MSME workers; well-being; yoga
Contemporary health research underscores the importance of comprehensive well-being, particularly within occupational environments that profoundly shape individual health experiences. The Micro, Small, and Medium Enterprises (MSME) sector represents a complex workplace ecosystem characterized by multifaceted challenges that potentially compromise worker welfare. In the northeastern Indian State of Assam, MSME sector workers represent a vulnerable population that experiences distinctive professional and personal stressors. This research aims to investigate an intervention that integrates holistic well-being strategies, specifically combining traditional Indian yoga practices with Western relaxation methodologies. The proposed approach seeks to address workers physical, psychological, and social dimensions of health within the challenging MSME sector context of Assam, India. The study is a single-group feasibility trial with pre, post- and follow-up assessments to assess the impact of the well-being intervention. A sample of 35 MSME workers from Assam, India (n=35), participated in a 3-week intervention program. Baseline, postintervention, and follow-up assessments after 3 weeks of physical, psychological, and social well-being were obtained via standardized scales. To analyze the quantitative data, repeated-measures ANOVA (RMANOVA) was performed within the intervention completing participants to evaluate the interventions effect. Two-tailed tests of significance were performed. The findings of the study indicated that the intervention led to significant improvements in physical, psychological, and social well-being, with effects being sustained and further enhanced at follow-up. Repeated-measures ANOVA with GreenhouseGeisser corrections revealed significant time effects for general health (r)' = .567), musculoskeletal pain (r)' = .825), perceived social support (r)' = .678), and mental well-being (r)' = .726), all p <. 001. The participants reported reduced general health concerns, decreased musculoskeletal pain, and increased perceived social support and mental well-being from preintervention to postintervention and follow-up. The study offers empirically grounded insights into the potential transformative effect of integrated multidimensional well-being intervention. Copyright 2023 DOI Foundation. The content of this site is licensed under a Creative Commons Attribution 4.0 International License.
Karishiddimath, Abhishek; Moharkonda, Priyadarshini
Multidisciplinary Science Journal;Volume;8;Issue;;Article No.;e2026035;
https://doi.org/10.31893/multiscience.2026035 https://www.scopus.com/pages/publications/105013035142?origin=resultslist
Karishiddimath A., Department of Psychology, Christ (Deemed-to-be) University, Bengaluru, India; Moharkonda P., Department of Psychology, Christ (Deemed-to-be) University, Bengaluru, India
Evaluating the impact of BRICS+ trade policies: A comparative analysis before and after the Russia-Ukraine conflict
This chapter explores shifts in trade dynamics among BRICS+ nations (Brazil, Russia, India, China, South Africa, and extended partners) in response to the Russia-Ukraine conflict. The study assesses changes in trade volumes and patterns between Russia and other BRICS+ nations, comparing pre-conflict (2018-2021) and post-conflict (2022 onwards) periods. Utilizing secondary data from credible sources like Bloomberg, WTO, and national trade statistics, the research ensures data authenticity and reliability. The findings reveal significant growth in trade activities between Russia and certain BRICS+ nations post-conflict. Moreover, a comparative analysis with other trade blocs like the European Union highlights contrasting geopolitical strategies, showcasing the resilience and adaptability of BRICS+ in navigating global challenges. The study offers strategic insights for policymakers within the alliance to effectively adjust to evolving trade dynamics. 2025 by IGI Global Scientific Publishing. All rights reserved.
Analyzing the Impact of BRICS+ Nations' Trade Policies on Global Economies;pp.123-144
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.4018/979-8-3693-7969-1.ch005 https://www.scopus.com/pages/publications/105001093512?origin=resultslist
Tom A., Christ University, India; Joseph D., Christ University, India
Evaluating the impact of microlearning and micro-lessons and implications for general education
The educator training approach known as microteaching, which is used now all over the world, offers teachers the chance to sharpen their teaching abilities by enhancing the many straightforward activities referred to as teaching skills. Microteaching supports the growth of in-person teaching experiences thanks to its success with both beginners and older students. The fundamental abilities of microteaching, such as exposition and reinforcing abilities, aid new instructors in mastering the craft of instruction with ease and to the fullest. This method's effects have been widely observed in a variety of educational settings, including the biological sciences, health sciences, and other fields. The chapter reflects upon the basic concepts of microteaching, microlearning, and micro lessons. The study discusses the fundamental teaching techniques, implementation issues, and the effects of microlearning on education. The study also throws light on the impact and advances of technology on microlearning in the context of the digital age. 2024, IGI Global.
Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education, pp. 159-173.
Jaiwant S.V., Christ University (Deemed), Bangalore, India; Kureethara J.V., Christ University (Deemed), Bangalore, India
Evaluating the Impact of Rainwater Harvesting on Urban Runoff Reduction in Bengaluru
Cistern capacity; Cumulative frequency; Harvesting; Impervious; Runoff volume
The ground surface changes from undisturbed soils with a natural plant covering to disturbed soils as urbanisation and population pressure increase, amplifying the rapid expansion of impervious surfaces in cities. Without adequate stormwater controls, these impervious surfaces alter the hydrologic cycle by lowering infiltration rates and raising runoff peak flows and volumes. Bengaluru city experiences a more temperate climate throughout the year, and the heavy destruction caused by rains is Indias IT hub. Numerous drains get submerged and saturated after only two days of excessive rain, symbolizing the necessity of harvesting techniques in collecting rainwater and reducing runoff volume. Built-up area dynamics were observed from supervised classification and rainfall data collected from the IMD. Annual collectable rainwater was calculated considering the different cumulative rainfall frequencies, i.e. (25/50/75) %. The overall volume of containers was calculated considering different return periods of (5/10/20) years along with (10/20/30) minute rainfall duration. A 45.7% and 25.8% runoff volume reduction (%) was seen in the study area by considering two cases of maximum daily rainfall and maximum average monthly precipitation, respectively. The calculations indicated a significant capacity for collecting rainwater from impervious surfaces is achievable. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Pradhan, Arpan; Teena Sojan, V.V.; Sankalp, Sovan; Uppaluri, Sirisha; Mani, Shibu K.; Sahoo, Kirti Kanta
Lecture Notes in Civil Engineering;Volume;847 LNCE;pp.167-178
Springer Science and Business Media Deutschland GmbH
https://doi.org/10.1007/978-981-95-8836-7_14 https://www.scopus.com/pages/publications/105040550329?origin=resultslist
Pradhan A., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Teena Sojan V.V., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Sankalp S., Gandhi Institute for Education and Technology, Department of Civil, Odisha, Khurda, India; Uppaluri S., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Mani S.K., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Sahoo K.K., School of Civil Engineering, Kalinga Institute of Industrial Technology Deemed to Be University, Bhubaneswar, India
Evaluating the Impact of Remote Work Benefits on Employee Performance and Retention in IT Companies
AHP; Employee Retention; Fuzzy Logic; IT Companies; Remote Work Benefits
The COVID-19 pandemic and other global events that changed the way people work have made remote work more common, especially in IT companies. More and more businesses are using remote employee benefits (REB) to keep good workers, boost productivity, and make people happier at work. Wellness programs, technology allowances, and the option to work flexible hours are all part of this group of benefits. There isn't much real-world proof of how certain REBs affect employee outcomes in IT companies, such as performance, engagement, and turnover rates, even though they are widely used. This study uses a combination of MultiCriteria Decision-Making (MCDM) and other methods to find out how a number of REB affect things. To be more specific, the Analytic Hierarchy Process (AHP) and Fuzzy Logic are used together. The survey had 250 workers from five different multinational information technology companies. The hybrid AHP-Fuzzy model found that the best things for employees to do their jobs better and stay with the company the longest were flexible work hours (0.35), mental health support (0.27), and remote infrastructure allowances (0.21). In comparison, traditional benefits like travel allowances and perks for physical workspaces didn't have as big of an effect. The proposed method was much better than the standard Likert scale and linear regression analysis at giving results that were both accurate and easy to understand. 2025 IEEE.
Anitha Kumari, D.; Purohit, Tanushri; Venkareddy, Chitkala; Giri, Pratibha; Gayathri, R.; Babu, M. Dinesh
Proceedings of the 2025 3rd International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2025;pp.830-834
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICAICCIT68829.2025.11434436 https://www.scopus.com/pages/publications/105036181949?origin=resultslist
Anitha Kumari D., Vels Institute of Science, Technology and Advanced Studies, Department of Management Studies, Chennai, India; Purohit T., SGT University, Faculty of Commerce & Management, Gurgaon, India; Venkareddy C., Central University of Karnataka, Department of Social Work, Karnataka, India; Giri P., Christ University, School of Business and Management, Bengaluru, India; Gayathri R., JSPM's Bhavarabai Sawant Institute of Technology and Research, Department of Electronics and Telecommunication Engineering, Pune, India; Babu M.D., Rajalakshmi Institute of Technology, Department of Mechanical Engineering, Chennai, India
Evaluating the performance of Cr-Soc-MOF Super-Adsorbents for CO2 capture from flue gas under humid condition through molecular simulation
Breakthrough; CO2 Capture; DFT; Flue gas; GCMC; Metal Organic Framework
One of the major criticisms for gas separation by utilizing Metal Organic Framework (MOF) porous material for all classes of adsorbents is their very poor performance under humidified gas streams. Very few MOFs show better CO2 separation from N2 mixture in the presence of moisture. Conversely, plenty of MOFs demonstrated good CO2 capture from dry gas streams. In order to explore the potential characteristics of gas separation under humid conditions by coordinatively unsaturated metal organic framework (CUS-MOF) with square octahedral (Soc) topology were exercised single component (CO2, N2) adsorption and co-adsorption (CO2/N2) in the presence of moisture at 298 K with pressure ranging from 0 to 10 bar. Herein, we investigated five exceptional Cr-Soc-MOFs similar to the experimentally established iso-structural topology by differing the polynuclear aromatic ring size and N-heteroatom to their pore wall. The specific interaction of guest molecules to the coordinatively unsaturated metal site (CUS), i.e., rigid ?3-oxygen-centered tri-nuclear metal carboxylate, of Cr-Soc-MOF-n series were identified with Density Functional Theory (DFT) calculations, this energy profile was used to derive specific force field. Further, Grand canonical Monte Carlo (GCMC) simulation was employed with DFT-derived force field to identify suitable CO2 capture for Cr-Soc-MOFs in the presence of moisture. Interestingly, the Cr-Soc-MOFs with larger pore volume were retained not only CO2 uptake in the range of 23 35 wt% but also selectivity about 20 50 range even up to 70% of RH. Importantly, we introduced a mathematical tool to theoretically analyze the dynamic co-adsorption in the form of breakthrough curve measurement from CO2/N2 simulated co-adsorption by mimicking the real flue gas condition, also working capacity (?N), Regenerability (R%) and Adsorbent Performance Indicator (API) of Cr-Soc-MOF-n series were investigated. The CO2 separation performances of Cr-Soc-MOF-n series suggested that the polynuclear aromatic ring to their pore wall withstand CO2 uptake in the presence of humidity rather than N-heteroatom decorated Cr-Soc-MOF due to its high pore volume and the accommodation of extra aromatic ring in their pore channels. 2022 Elsevier B.V.
Separation and Purification Technology, Vol-295
https://doi.org/10.1016/j.seppur.2022.121298 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130612972&doi=10.1016%2fj.seppur.2022.121298&partnerID=40&md5=4e85682e927427627d39fedc5905b190
Palakkal A.S., Department of Chemistry, School of Basic Sciences, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603 203, India; Pillai R.S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560 029, India
Evaluating the performance of indian banks: Eagles model approach
Sound financial health of a bank is the guarantee not only to its depositors but is also equally significant for the shareholders, employees and whole economy as well. Various steps and policies have been made from time to time, to measure the financial position of each bank and manage it efficiently and effectively. The introduction of new banking policies and technological advances put banks into more complex and risky situations. CAMEL model is widely used tool for measuring the efficiency and performance of banks which has been proved to be outdated. EAGLES model is a proper tool to measure the financial performance as well as the soundness of banks in a more determinate, objective and consistent manner, as the banks are being analyzed on the output ratios. The present study aimed at finding out the financial performance and soundness of selected Indian commercial banks, analyzing six major parameters which are key success factors of every bank today. Indian Institute of Finance.
Finance India, Vol-34, No. 3, pp. 999-1024.
Suresh G., CHRIST (Deemed to be University), Department of Commerce, Hosur Rd, Bhavani Nagar, S.G. Palya, Bengaluru, 560029, Karnataka, India; Arun Krishnan P., CHRIST (Deemed to be University), The School of Business and Management, Hosur Rd, Bhavani Nagar, S.G. Palya, Bengaluru, 560029, Karnataka, India
Evaluating the performance of machine learning using feature selection methods on dengue dataset
Artificial neural network; Dengue disease; Logistic regression; Neural network; Neural network with 10-fold; R; Random forest; Support vector machine
Dengue fever is a mosquito-borne disease transmitted by the bite of an Aedes mosquito infected with a dengue virus. The bites of an infected female Aedes mosquito which gets the virus while feeding on the infected persons blood, transmits the virus to others. Dengue transmission is climate sensitive for several reasons such as temperature, humidity, rainfall, etc. Areas having higher vapor pressure and rainfall rate are most vulnerable to the spreading of the dengue disease. So to find the important features responsible for spreading the dengue we have used the classification algorithms. Machine learning is one of the key methods used in modern day analysis. Many algorithms have been used for medical purposes. Dengue disease is one of the serious contagious diseases. To find the features related to spreading of dengue disease, we have used popular machine learning algorithms. This proposed work focuses on evaluating the performances of the various machine learning techniques like-Random Forest Classifier (RFC), Decision Tree Classifier (DTC) and Linear Support Vector Machine (LSVM). Predictive Mean Matching is applied for preprocessing of the data and percentage split is applied for resampling of the data. Information gain values for each of the attributes are calculated. The attributes are sorted on the basis of information gain values. Feature selection methods (FSMs) such as Forward Selection (FS) and Backward Elimination (BE) are applied to choose the finest subset of the attributes, so that the algorithm runs more efficiently with a lower run time. It also results in the improvement of the accuracy. The attributes selected by the Feature Selection Methods are the main attributes which results in the probable effects of global weather change on human healthiness. BEIESP.
Dasgupta S.; Sharma N.; Sinha S.; Raghavendra S.
International Journal of Engineering and Advanced Technology, Vol-8, No. 5, pp. 2679-2685.
Blue Eyes Intelligence Engineering and Sciences Publication
Dasgupta S., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India; Sharma N., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India; Sinha S., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India; Raghavendra S., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India
Evaluating the Pertinence of Pose Estimation model for Sign Language Translation
deep learning model; landmark detection; machine learning model; pose estimation; SLR models
Sign Language is the natural language used by a community that is hearing impaired. It is necessary to convert this language to a commonly understandable form as it is used by a comparatively small part of society. The automatic Sign Language interpreters can convert the signs into text or audio by interpreting the hand movements and the corresponding facial expression. These two modalities work in tandem to give complete meaning to each word. In verbal communication, emotions can be conveyed by changing the tone and pitch of the voice, but in sign language, emotions are expressed using nonmanual movements that include body posture and facial muscle movements. Each such subtle moment should be considered as a feature and extracted using different models. This paper proposes three different models that can be used for varying levels of sign language. The first test was carried out using the Convex Hull-based Sign Language Recognition (SLR) finger spelling sign language, next using a Convolution Neural Network-based Sign Language Recognition (CNN-SLR) for fingerspelling sign language, and finally pose-based SLR for word-level sign language. The experiments show that the pose-based SLR model that captures features using landmark or key points has better SLR accuracy than Convex Hull and CNN-based SLR models. 2023 World Scientific Publishing Europe Ltd.
International Journal of Computational Intelligence and Applications, Vol-22, No. 1
https://doi.org/10.1142/S1469026823410092 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158862167&doi=10.1142%2fS1469026823410092&partnerID=40&md5=eb20e29380b7d256fda5b1eef4a8cd57
Amrutha K., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, Karnataka, India; Prabu P., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, Karnataka, India
Evaluating the Potential of Cordycepin as a Therapeutic Agent for Cancer: In-Silico Analysis of EGFR and VEGFR Interactions
ADMET; Cordycepin; EGFR; Molecular Docking; Molecular Dynamic Simulation; VEGFR
Due to multipotent activity, Cordycepin, a nucleoside isolated from Cordyceps fungi (Cordyceps militaris), has recently attracted considerable interest as a compound for antitumor. Cordycepin is also known as 3-deoxyadenosine, which is known to inhibit tumor growth, but the actual mechanism is not known. The present work aims to evaluate the cordycepin as an anticancer candidate by analyzing its impact on the major oncogene receptors EGFR and VEGFR through an in-silico approach. In the analysis, computational docking was performed with AutoDock Vina 1.5.7, which estimated the binding constants of cordycepin with EGFR and VEGFR and got binding energies of -6.8 kcal/mol and -5.5 kcal/mol, respectively, relative to a reference Leucovorin molecule. In addition, molecular dynamics simulations were also performed for the best complex (Cordycepin-EGFR) to examine the conformational dynamic behavior of the cordycepin-EGFR complex. The functionality and architecture of the cordycepin-EGFR complex were illustrated: their interaction might serve as a base for therapy. Also, ADMET predictions show that cordycepin follows Lipinskis rules, which supports the drug-likeness of cordycepin compounds. Accordingly, the findings presented here will confirm and draw the attention of the scientific community to use the cordycepin as a possible treatment for cancer and its potential use in scientific pharmacology. 2025, Iquz Galaxy Publisher. All rights reserved.
International Research Journal of Multidisciplinary Scope;Volume;6;Issue;2;pp.1103-1111
https://doi.org/10.47857/irjms.2025.v06i02.03710 https://www.scopus.com/pages/publications/105006710346?origin=resultslist
Kumari S., Applied and Industrial Biotechnology Laboratory, Department of Life Sciences, CHRIST (Deemed-to-Be University), Karnataka, Bangalore, India; Malviya A.K., Applied and Industrial Biotechnology Laboratory, Department of Life Sciences, CHRIST (Deemed-to-Be University), Karnataka, Bangalore, India
Evaluating the Role of Economic Factors in Sustainable Consumption Behaviour
consumer goods; economic factors; Sustainable consumption behaviour
The research paper investigates the intricate nexus between economic factors and sustainable consumption behaviour, providing a nuanced exploration of how such considerations shape an individuals choice in the realm of environmental responsibility. Drawing on established theories of consumer behaviour and sustainability, this study employs a positivist approach encompassing quantitative surveys and analysis. It scrutinises the effects of prices, expectations and other broader economic conditions on the adoption of sustainable practices. The findings contribute significantly to the existing body of knowledge by providing a holistic understanding of the economic levers instrumental in driving towards sustainable consumption like taste and preferences and price or hindering the shift towards sustainable consumption like societal behaviour and availability of alternatives. This research aims to inform policymakers, businesses and consumers alike, facilitating the development of targeted interventions and initiatives that foster a harmonious convergence of economic and ecological goals. 2024 IOS Press BV. All rights reserved.
Asian Journal of Water, Environment and Pollution, Vol-21, No. 2, pp. 23-32.
https://doi.org/10.3233/AJW240018 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194178236&doi=10.3233%2fAJW240018&partnerID=40&md5=e7afc173a8effb778722c62407dec4ce
Oberoi P., CHRIST University, Bengaluru, India; Bhandari J., CHRIST University, Bengaluru, India
Evaluating the role of soil EPS in modifying the toxicity potential of the mixture of polystyrene nanoplastics and xenoestrogen, Bisphenol A (BPA) in Allium cepa L.
Bisphenol A: nanoplastics; Cyto-genotoxicity; EPS; Lipid peroxidation; Oxidative stress
The coexistence of emerging pollutants like nanoplastics and xenoestrogen chemicals such as Bisphenol A (BPA) raises significant environmental concerns. While the individual impacts of BPA and polystyrene nanoplastics (PSNPs) on plants have been studied, their combined effects are not well understood. This study examines the interactions between eco-corona formation, physicochemical properties, and cyto-genotoxic effects of PSNPs and BPA on onion (Allium cepa) root tip cells. Eco-corona formation was induced by exposing BPA-PSNP mixtures to soil extracellular polymeric substances (EPS), and changes were analyzed using 3D-EEM, TEM, FTIR, hydrodynamic diameter, and contact angle measurements. Onion roots were treated with BPA (2.5, 5, and 10 mgL-1) combined with plain, aminated, and carboxylated PSNPs (100 mgL-1), with and without EPS interaction. Toxicity was assessed via cell viability, oxidative stress markers (superoxide radical, total ROS, hydroxyl radical), lipid peroxidation, SOD and catalase activity, mitotic index, and chromosomal abnormalities. BPA alone increased cytotoxic and genotoxic parameters in a dose-dependent manner. BPA with aminated PSNPs exhibited the highest toxicity among the pristine mixtures, revealing increased chromosomal abnormalities, oxidative stress, and cell mortality with rising BPA concentrations. In-silico experiments demonstrated the relationship between superoxide dismutase (SOD), catalase enzymes, PSNPs, BPA, and their mixtures. EPS adsorption notably reduced cyto-genotoxic effects, lipid peroxidation, and ROS levels, mitigating the toxicity of BPA-PSNP mixtures. 2024 Elsevier B.V.
Giri S.; Debroy A.; Nag A.; Mukherjee A.
ISSN: 3043894; PubMed ID: 39047567; CODEN: JHMAD
https://doi.org/10.1016/j.jhazmat.2024.135252 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199297000&doi=10.1016%2fj.jhazmat.2024.135252&partnerID=40&md5=02949f5f04a6fbb607819cf8334793f5
Giri S., Centre for Nanobiotechnology, Vellore Institute of Technology, Tamil Nadu, Vellore, India; Debroy A., Centre for Nanobiotechnology, Vellore Institute of Technology, Tamil Nadu, Vellore, India; Nag A., Department of Life Sciences, Bangalore Central campus, CHRIST (Deemed to be University), Bangalore, India; Mukherjee A., Centre for Nanobiotechnology, Vellore Institute of Technology, Tamil Nadu, Vellore, India
Evaluating the usability of mhealth applications on type 2 diabetes mellitus using various mcdm models
Critic; MHealth applications; T2DM; Usability score
The recent developments in the IT world have brought several changes in the medical industry. This research work focuses on few mHealth applications that work on the management of type 2 diabetes mellitus (T2DM) by the patients on their own. Looking into the present doctor-to?patient ratio in our country (1:1700 as per a Times of India report in 2021), it is very essential to develop self?management mHealth applications. Thus, there is a need to ensure simple and user-friendly mHealth applications to improve customer satisfaction. The goal of this study is to assess and appraise the usability and effectiveness of existing T2DM?focused mHealth applications. TOP? SIS, VIKOR, and PROMETHEE II are three multi?criteria decision?making (MCDM) approaches considered in the proposed work for the evaluation of the usability of five existing T2DM mHealth applications, which include Glucose Buddy, mySugr, Diabetes: M, Blood Glucose Tracker, and OneTouch Reveal. The methodology used in the research work is a questionnaire?based evaluation that focuses on certain attributes and sub?attributes, identified based on the features of mHealth applications. CRITIC methodology is used for obtaining the attribute weights, which give the pri-ority of the attributes. The resulting analysis signifies our proposed research by ranking the mHealth applications based on usability and customer satisfaction. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Kamaldeep; Roy S.; Poonia R.C.; Nayak S.R.; Kumar R.; Alzahrani K.J.; Alnfiai M.M.; Al?wesabi F.N.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.3390/healthcare10010004 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121655236&doi=10.3390%2fhealthcare10010004&partnerID=40&md5=72c70d7a4aacf468484bb9415a2ff172
Kamaldeep, Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Roy S., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, 560029, India; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201301, India; Kumar R., Department of Computer Science and Engineering, GIET University, Rayagada, 765022, India; Alzahrani K.J., Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alnfiai M.M., Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Al?wesabi F.N., Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha, 61421, Saudi Arabia, Department of Information Systems, Faculty of Computer and Information Technology, Sanaa University, Sanaa, 1993, Yemen
Evaluating the Use of White Board Animation in the Learning Process; [Evaluaci del uso de la animaci de pizarra en el proceso de aprendizaje]
Higher education; Learning; Reaction; Whiteboard animation
A big challenge for the present-day trainers and teachers is to attract and retain the attention of the students and participants. In the era of social media and smartphones, students have several things that can distract them during the learning process and the responsibility to find ways to engage them effectively falls on the teacher. Based on a review of literature on technological developments, the researchers of the current study propose the use of whiteboard animation multimedia as a tool to enhance the learning experience. In the current study, the effectiveness of this technique is evaluated through a pre-test post-test control group design and the sample comprised of students of the masters in business administration course. The findings provide empirical evidence supporting the use of whiteboard animation videos to supplement classroom learning. 2022 Authors. All rights reserved.
Mathew J.; Nair S.; Gomes R.; Mulasi A.; Yadav P.
https://doi.org/10.1344/REYD2022.26.40212 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143143339&doi=10.1344%2fREYD2022.26.40212&partnerID=40&md5=a26ff7b280b2d4b54d415572ff5fc390
Mathew J., School of Business and Management, Christ University, Bangalore, India; Nair S., School of Business and Management, Christ University, Bangalore, India; Gomes R., CHRIST (Deemed to be University), Bangalore, India, Psychology, Jyoti Nivas College Autonomous, India; Mulasi A., School of Business and Management, Christ University, India; Yadav P., Department of Management Studies, CMR Institute of Technology (CMRIT), India
Evaluation and analysis of quality in e commerce (B2C Website) /
There has been a phenomenal growth in Ecommerce in the last few years and it is still growing. As the market is expanding, more and more organizations want to have web presence. Due to sudden and rapid demand in Ecommerce website, website development companies are ignoring or skipping the quality factor. Apart from this, due to popularity of Internet, more and more consumers are buying products and services through ecommerce websites. The software development companies want to delivery the products quickly, to make fast money. To meet the deadlines, usually the quality of the product is not taken as a priority, resulting in a product full of bugs, being shipped to the customers. Once the software becomes live, more and more bugs keep coming resulting in loss of business and credibility of the organization is affected. Lack of quality Ecommerce websites result in consumers moving back to the alternate methods of shopping or switching to another website. With the increase in the competition, companies have started studying the consumer behavior and determining the factors that affect the quality of Ecommerce websites form the consumers perspective. During these years, several lessons have been learned about the technology, business and economy of Ecommerce.
Gupta, Rashmi. - 0935011
Evaluation and applying feature extraction techniques for face detection and recognition
Convolutional Neural Network; Face Detection & Recognition; Feature Extraction; Gradients; Histogram of Oriented; Local Binary Pattern
Detecting the image and identifying the face has become important in the field of computer vision in recognizing and analyzing, reconstructing into 3D, and labelling the image. Feature extraction is usually the first stage in detection and recognition of the image processing and computer vision. It supports the conversion of the image into a quantitative data. Later, this converted data can be used for labelling, classifying and recognizing a model. In this paper, performance of such feature extraction techniques viz. Local Binary Pattern (LBP), Histogram of Oriented Gradients (HOG) and Convolutional Neural Network (CNN) technique are applied to detect and recognize the face. The experiments conducted with a data set addressing the issues like pose variation, facial expression and intensity of light. The efficiency of the algorithms was evaluated based on the computational time and accuracy rate. 2018 Institute of Advanced Engineering and Science. All rights reserved.
Indonesian Journal of Electrical Engineering and Informatics, Vol-7, No. 4, pp. 742-749.
Institute of Advanced Engineering and Science
https://doi.org/10.11591/ijeei.v7i4.935 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078498440&doi=10.11591%2fijeei.v7i4.935&partnerID=40&md5=257d3f8dae4d1c98fdfa2c4b3d195613
Arokia Paul Rajan R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Mathew A.R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India
Evaluation of a gamified learning experience: Analysis of factors that impact the effectiveness of a gamified experience; [Avaliao de uma expericia de aprendizagem gamificada: Anise dos fatores que afetam a eficia de uma expericia gamificada]
Academics; Gamification; Learning; Reaction
Gamification has gone through a faddish cycle. It first gained prominence around 2012 and was quickly abandoned, as practitioners did not achieve the outcomes they expected. According to Gartner's Hype Cycle, Gamification is at a point at which one might expect wide scale adoption. However, if history is not to repeat itself and results are to be achieved as theoretically predicted, a deeper understanding of the concept is essential. In the current study, the researchers attempt to evaluate a gamified learning experience. The participants were students of a Master in Business Administration course. The students were asked to participate in a gamified module and relevant data was collected, before and after the intervention. Based on a review of literature, the researchers identified the exogenous variables of Valence, Attitude towards use of Technology and Experience with Technology. The endogenous variables identified included Reaction and Learning. The findings of the study suggest that the gamified module resulted in increase in knowledge and that Attitude, Experience and Valence significantly predicted the Learner's reaction to the experience. The findings of the study provide support to key theories in the area of gamification and insights for practitioners, on the factors to be considered before using a gamifiedlearning intervention. 2021 UNIVERSIDADE FEEVALE All rights reserved.
Revista Conhecimento Online, Vol-2, pp. 4-20.
https://doi.org/10.25112/rco.v2i0.2518 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108891667&doi=10.25112%2frco.v2i0.2518&partnerID=40&md5=69f1903aa865e421c3cea835d7d0e825
Nair S., CHRIST (Deemed to be University), Bangalore, India, School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Mathew J., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India, Bharathidasan University, Tiruchirappalli, India
Evaluation of an interprofessional collaborative practice training module for the management of children with autism spectrum disorder
Autism spectrum disorder; Collaborative practice; Health care professional; Interprofessional; Training module
Background: Protocols instituted for behavioral treatment and skills training programs for the management of autism spectrum disorder (ASD) suffer from lack of collaborative approaches. The tenets of interprofessional collaborative practice (IPCP) focus on preparing a panel of health care professionals (HCPs) from different professions who can work together to enable the common goal of ensuring that children with ASD can participate in society. This study was designed to pilot this approach through an IPCP training module on ASD for care providers from multiple professions. Methods: An interventional study with pre-post analysis began with formation of the interprofessional (IP) team, who developed an IPCP module, addressing the knowledge and skills needed for the collaborative management of neurodevelopmental issues of children with ASD. This module was delivered through an online training workshop using various teaching learning methods to the participants from seven different health professions after obtaining informed consent. Perceptions of interprofessional collaboration and competencies of IPCP were assessed using standard IP tools and reflective summaries and analyzed through a mixed-methods approach. Results: A total of 42 HCPs from seven professions, including speech and hearing, occupational therapy, clinical psychology, physiotherapy, pediatrics, nursing, and pedodontics, participated in the study. Pre-post analysis of PINCOM-Q and Dow-IPEC data and thematic analysis revealed a significant difference in the perceptions of interprofessional collaboration and competencies levels of IPCP. Conclusion: This study suggests that use of IPCP principles in the training of professionals working with ASD is a promising and feasible option to develop more competent health professionals. The training enhanced the abilities of professionals to work in field of ASD as conveyed by the participants. They also expressed confidence in the knowledge of IP core competencies after the completion of the module. 2022
Velladath S.U.; Kulkarni M.M.; Rege S.; Edavana Santhosh S.; Tiwari S.; John S.; Nayak R.; Aroor S.; Biju S.; Ali Mohammed C.
Medical Journal Armed Forces India, Vol-80, pp. S38-S42.
https://doi.org/10.1016/j.mjafi.2022.06.018 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136258051&doi=10.1016%2fj.mjafi.2022.06.018&partnerID=40&md5=304d2009de29a2182911234bb1b4bd60
Velladath S.U., Professor (Medical Laboratory Technology), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India, College of Medicine & Health Sciences, National University of Science & Technology, Oman; Kulkarni M.M., Associate Professor (Community Medicine), Kasturba Medical College, Manipal Academy of Higher Education, Karnataka, Manipal, India; Rege S., Associate Professor (Occupational Therapy), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; Edavana Santhosh S., Assistant Professor (Clinical Psychology), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; Tiwari S., Associate Professor (Speech & Hearing), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; John S., Associate Professor (Speech & Hearing), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; Nayak R., Professor (Pedodontics), Manipal College of Dental Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, India; Aroor S., Professor & Head (Pediatrics), Kasturba Medical College, Manipal Academy of Higher Education, Karnataka, Manipal, India; Biju S., Professor (School of Business & Management), Christ University, Karnataka, Bengaluru, India; Ali Mohammed C., College of Medicine & Health Sciences, National University of Science & Technology, Oman, Professor (Microbiology), Director, MAHE-FAIMER Institute, Manipal Academy of Higher Education, Manipal, India
Evaluation of Bending Stiffness of Transmission Line Conductors
Cables are made of helically wound wires and have a wide range of engineering applications. This thesis considers the use of such cables in overhead electrical power transmission lines. The loading on such cables is generally axial pull or tension and torsion. The oscillation of the overhead power transmission lines due to the wind or static bending in any applications, newlineintroduce an additional bending load on such cable assemblies and are subjected to varying newlinebending curvatures and results in reduction in bending stiffness. The effective stiffness of the cable assembly in its bent state varies widely between two extreme newlinebehaviours a monolithic infinite friction state offering the maximum stiffness and a newlinecompletely loose wire zero friction state offering the minimum thickness. Due to the wide variation of this extreme values, the estimation of the cable stiffness at any intermittent stage of bending has been quite challenging and is under continuous refinement. Though many mathematical models are stipulated in the last seven decades in cables, seldom they consider the influence of wire forces and moments about its normal, bi-normal, and axial directions together, in any analysis and evaluated the cable response. newlineThe dominant wire force and moments about the axial directions were never missed by many newlineauthors. Though the global behavior of the cable apparently seems to be all right even with the omission of some forces/moments, the mechanism of its constituent wires needs a fully proven scientific explanation that predicts the local behavior also correctly. The ultimate response of the cable will be complete when accurate theories are attributed for the global and local newlinebehaviours. Hence, this research work addresses the complete mechanics of the helically wound cables and considers the influence of wire forces and moments, in all the three directions, together in the newlineanalysis and evaluates the cable response.
Gurumoorthy, S Hebbar and Parthasarathy, N S
Evaluation of Clove Phytochemicals as Potential Antiviral Drug Candidates Targeting SARS-CoV-2 Main Protease: Computational Docking, Molecular Dynamics Simulation, and Pharmacokinetic Profiling
casuarictin; clove; main protease; phytochemicals; SARS-CoV-2
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus can cause a sudden respiratory disease spreading with a high mortality rate arising with unknown mechanisms. Still, there is no proper treatment available to overcome the disease, which urges the research community and pharmaceutical industries to screen a novel therapeutic intervention to combat the current pandemic. This current study exploits the natural phytochemicals obtained from clove, a traditional natural therapeutic that comprises important bioactive compounds used for targeting the main protease of SARS-CoV-2. As a result, inhibition of viral replication effectively procures by targeting the main protease, which is responsible for the viral replication inside the host. Pharmacokinetic studies were evaluated for the property of drug likeliness. A total of 53 bioactives were subjected to the study, and four among them, namely, eugenie, syzyginin B, eugenol, and casuarictin, showed potential binding properties against the target SARS-CoV-2 main protease. The resultant best bioactive was compared with the commercially available standard drugs. Furthermore, validation of respective compounds with a comprehensive molecular dynamics simulation was performed using Schringer software. To further validate the bioactive phytochemicals and delimit the screening process of potential drugs against coronavirus disease 2019, in vitro and in vivo clinical studies are needed to prove their efficacy. Copyright 2022 Chandra Manivannan, Malaisamy, Eswaran, Meyyazhagan, Arumugam, Rengasamy, Balasubramanian and Liu.
Chandra Manivannan A.; Malaisamy A.; Eswaran M.; Meyyazhagan A.; Arumugam V.A.; Rengasamy K.R.R.; Balasubramanian B.; Liu W.-C.
Frontiers in Molecular Biosciences, Vol-9
https://doi.org/10.3389/fmolb.2022.918101 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133909602&doi=10.3389%2ffmolb.2022.918101&partnerID=40&md5=f7a230c91c1908a9d459d4712f85a4e8
Chandra Manivannan A., Department of Microbiology, Alagappa University, Karaikudi, India; Malaisamy A., Integrative Biology Division, International Centre for Genetic Engineering and Biotechnology, New Delhi, India; Eswaran M., Department of Bioinformatics, Bharathiar University, Coimbatore, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Arumugam V.A., Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India; Rengasamy K.R.R., Department of Pharmacology, Centre for Transdisciplinary Research, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Liu W.-C., Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China