Optimization Based Rice Leaf Disease Classification in Federated Learning
Archimedes optimization algorithm; Federated learning; Kalman filter; LeNet; Spotted hyena optimization
Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry. Diseases that affect the leaves of rice plants severely limit their ability to produce rice, and they are typically brought on by bacteria, viruses, or fungi. This paper proposes an innovative classification scheme for rice leaf diseases based on Federated Learning (FL). Here, FL framework comprises two entities, namely nodes and servers. Every node does initial local training using local data. Moreover, produced local model is then updated on server. Model aggregation is done at the server since several nodes update their local models and send them to it. The nodes download the global model that server has generated as a result. The nodes update their training using transferred global model and local model. The following series of actions are taken in the training model. The input image is mainly obtained from a database and pre-processed with a Kalman filter to eliminate noise. Then, numerous operations for data augmentation are applied. In addition, feature extraction is done and generated features are used in LeNet for rice leaf diseases classification. LeNet is trained using the Spotted Hyena Archimedes Optimizer (SHAO). The developed method shows better precision of 91.3%, recall of 92.2%, f-measure of 91.7%, loss function of 3.3%, Mean Square Error (MSE) of 7.3%, and Root MSE of 27.1%. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Tripathy R.; Mandala J.; Pappu S.R.; Gopisetty G.K.D.
Multimedia Tools and Applications, Vol-83, No. 29, pp. 72491-72517.
All Open Access; Hybrid Gold Open Access
Tripathy R., Chitkara University School of Engineering, Chitkara University, Himachal Pradesh, India; Mandala J., Department of Computer science and engineering, Christ (Deemed to be) University, Bangalore, India; Pappu S.R., Department of Computer Science and Engineering, GITAM (Deemed to be University),Visakhapatnam Campus, Andhra Pradesh, Visakhapatnam, India; Gopisetty G.K.D., Department of Information Technology, KKR & KSR Institute of Technology and Sciences, Affiliated to JNTUK Kakinada, Guntur, India
Effective Oil and Dye Adsorption Using Green Synthesized Copper Oxide Nanoparticles Obtained from Combretum indicum Leaf Extract
Antimicrobial activity; Combretum indicum; Copper oxide nanoparticles; green synthesis; Oil and dye adsorption
This study describes a green and sustainable method of producing copper oxide nanoparticles (CuO NPs) using Combretum indicum leaf extracts in aqueous and alcoholic solvents. The synthesis parametersextract concentration and pHwere optimized to achieve high yield (85%), small crystallite size (2035nm), and monodisperse particles. FTIR, PXRD, SEM, TEM, and UVvisible spectroscopy indicated the synthesis of monoclinic CuO NPs with mixed morphologies (spheres, rods, and plates), as well as phytochemical surface functionalization. The NPs exhibited multifunctional performance: alcoholic extract-derived CuO NPs showed exceptional dye adsorption (?95% removal of Methyl Orange in 180min), while aqueous extract-derived NPs demonstrated high oil adsorption (90%). Antimicrobial activity was strain specific, with significant efficacy against Streptococcus mutans (3.7mm zone of inhibition). The solvent-dependent surface chemistryhydrophilic for dye removal and hydrophobic for oil adsorptionhighlights the potential for tailored environmental remediation. This eco-friendly approach offers a promising route for synthesizing versatile CuO NPs with applications in wastewater treatment and antimicrobial strategies. 2025 Wiley-VCH GmbH.
Tripathy, Sweta Kumari; Chauhan, Diwakar; Chauhan, Monika; Bhatnagar, Tripti; Hegde, Gurumurthy
ChemistrySelect;Volume;10;Issue;42;Article No.;e02447;
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1002/slct.202502447 https://www.scopus.com/pages/publications/105021544369?origin=resultslist
Tripathy S.K., Department of Chemistry, School of Basic Sciences, Galgotias University, Uttar Pradesh, Greater Noida, 201310, India; Chauhan D., Department of Chemistry, School of Basic Sciences, Galgotias University, Uttar Pradesh, Greater Noida, 201310, India; Chauhan M., Department of Chemistry, School of Basic Sciences, Galgotias University, Uttar Pradesh, Greater Noida, 201310, India; Bhatnagar T., Codon Biotech Pvt. Ltd., Sector 64, Uttar Pradesh, Noida, 201301, India; Hegde G., Centre for Advanced Research and Development (CARD), Christ University, Hosur Road, Bengaluru, 560029, India
Gravitational wave distance estimation using intrinsic signal properties: dark sirens as distance indicators
Dark sirens; Distance estimations; Gravitational waves
Gravitational Waves (GWs) provide a powerful means for cosmological distance estimation, circumventing the systematic uncertainties associated with traditional electromagnetic (EM) indicators. This work presents a model for estimating distances to binary black hole (BBH) mergers using only GW data, independent of EM counterparts or galaxy catalogs. By utilizing the intrinsic properties of the GW signal, specifically the strain amplitude and merger frequency, our model offers a computationally efficient preliminary distance estimation approach that could complements existing Bayesian parameter estimation pipelines. In this work, we examine a simplified analytical expression for the GW luminosity distance derived from General Relativity (GR), based on the leading-order quadrupole approximation. Without incorporating post-Newtonian (PN) or numerical relativity (NR) corrections, or modeling spin, eccentricity, or inclination, we test how closely this expression can reproduce distances reported by full Bayesian inference pipelines. We apply our model to 87 events from the LIGO-Virgo-Kagra (LVK) Gravitational Wave Transient Catalogues (GWTC), computing distances for these sources. Our results demonstrate consistent agreement with GWTC-reported distances, further supported by graphical comparisons that highlight the models performance across multiple events. The Author(s), under exclusive licence to Springer Nature B.V. 2025.
Astrophysics and Space Science;Volume;370;Issue;8;Article No.;82;
Springer Science and Business Media B.V.
https://doi.org/10.1007/s10509-025-04466-z https://www.scopus.com/pages/publications/105013301189?origin=resultslist
Trisha V., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Rakesh V., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Kenath A., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India
Student alienation and perceived organizational culture: A correlational study
Administration; Alienation; Campus life; Clan culture; Culture Student; Organizational
It is generally expected that the students are supposed to gain an engaging and enriching experience throughout their journey of higher education. The educational institutions have to take up the responsibility to ensure that students are engaged meaningfully and are in a state of well-being. However, in the present scenario, students at colleges and universities have started to feel alienated from the campus life. Research shows that alienation levels are rising among the youth. Factors like stress, coping mechanism, restrictive parental behavior, peer pressure, academic performance, and organizational culture have an impact on alienation among the students. This study attempts to understand the relationship between student alienation and organizational culture in an educational institution. The study employed a descriptive correlational design and collected data from 600 under graduate students studying in a university. The study used student alienation scale and organizational culture assessment instrument to collect the survey data. Study revealed that there is a negative correlation between student alienation and organizational culture. There were 30% variation in student alienation is explained by different types of organizational culture. Clan culture reduces student alienation compared to hierarchy culture. The researchers urge for further research to identify ideal organizational cultures that can promote student engagement and student well-being. 2021, Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Evaluation and Research in Education, Vol-10, No. 4, pp. 1149-1158.
Institute of Advanced Engineering and Science
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.11591/IJERE.V10I4.21304 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123432979&doi=10.11591%2fIJERE.V10I4.21304&partnerID=40&md5=e005e43f78a7fed7690e16360c57f000
Trivedi R., School of Education, Christ University, Hosur Road, Bangaloe, 560029, India; Prakasha G.S., School of Education, Christ University, Hosur Road, Bangaloe, 560029, India
Nurturing a Better Future for Best Schooling Practices: A Review Portraying the Alternative Schooling, Bangalore, Karnataka, India
Conditioning; Delinquency; Flowering; Initiative; Inner Transformation; Self-Discovery; Valley School; Whole-Child Education
Schooling is an essential stage in the socialization of a child. Schooling has a direct effect on a child's educational achievement, acquisition of skills, social cognition, and feelings (Sylva, 1994). Every schooling practice has the potential to mould the child and shape future citizens. Today many different schooling practices are prevailing in India. However, the majority of these schooling practices focus more on the cognitive development of the child and nurtures the values of competition and insecurity among the children. The schools have turned into factories that bring out mechanical individuals who cannot question, express, and voice themselves but who can only become a part of the race of obtaining marks and jobs. This kind of schooling may help in increasing the literacy rates but has not helped in producing truly educated and ethical citizens. It has led to moral degradation in society (Parihar, Parihar & Sharma, 2018). In this context, it is imperative to analyse the alternative schooling practices that nurture a better future. One such school that educates the heart, allows the flowering of the child and nurtures good citizens is the Valley School, Bangalore. Through this article, an attempt has been made to present a description of prevailing schooling practices and the challenges faced in the educational context. The authors put forth a review of schooling practices at valley school, one of the best alternative schools and ignite the discussion on Valley school being the best in nurturing a better future. 2020 Horizon Research Publishing. All rights reserved.
Universal Journal of Educational Research, Vol-8, No. 6, pp. 2289-2295.
https://doi.org/10.13189/ujer.2020.080612 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086266353&doi=10.13189%2fujer.2020.080612&partnerID=40&md5=a90f37acc510bcc7415e423f605cafc4
Trivedi R., School of Education, CHRIST (Deemed to Be University), India; Pramod Kumar M.P.M., School of Education, CHRIST (Deemed to Be University), India
Globalization and luxury brands: How consumer behavior differs in emerging vs. established markets
The luxury industry has changed in established and emerging markets due to the globalization of luxury brands. While rising luxury businesses combine tradition with contemporary and embrace digital channels for reach, established luxury brands draw on their rich history and innovate to stay current. Due to the mix of cultures brought about by globalization, luxury businesses now need to strike a balance between cultural sensitivity and global appeal. Luxury firms are being forced to adopt ethical business methods to meet the growing demands of consumers worldwide for sustainability. Luxury brands need to adapt to this changing environment, stay culturally sensitive, and embrace sustainability if they want to succeed in the international world of luxury consumers. This chapter focuses on the determinants influencing consumer behavior towards the existing and established brands in the backdrop of globalization. 2024, IGI Global. All rights reserved.
Globalized Consumer Insights in the Digital Era, pp. 38-67.
Triveshika S., NMKRV College for Women, India; Sukanya R., Christ University, India
Modelling the Path from Servitization Enablers to Customer Centricity in the Automotive Industry: An fsQCA and ANN Analysis
Artificial neural networks; automotive service providers; customer centricity; fuzzy-set qualitative comparative analysis; servitization
The current study utilizes the major servitization enablers, including value co-creation, service customization, technology integration and network orchestration, as the core factors influencing customer centricity in the Indian automotive service industry. As the industry has shifted to service-oriented value creation, it is necessary to assess those relationships through the lens of the automotive service providers. This study is grounded in the service-dominant logic (SDL), dynamic capabilities (DC) theory and product-service systems (PSS) approach and investigates the data obtained from 179 Indian automotive service providers. Fuzzy-set qualitative comparative analysis (fsQCA) reveals multiple equifinal configurations that lead to high customer centricity, demonstrating that no single enabler is appropriate. These findings are further substantiated by artificial neural network (ANN) analysis, which reveals that value co-creation plays a vital role in service performance and is the most important enabler of customer centricity (normalized importance = 100%). This dual methodological approach strengthens the results. The research presented feasible observations to automotive service providers, emphasizing the significance of value co-creation, enhancement of co-creation and the creation of flexible service systems that enable customer-oriented decision-making. 2026 IMI
Triveshika, S.S.; Srivastava, Shefali; Dwivedi, Ashish; Shardeo, Vipulesh; Dubey, Suchi
https://doi.org/10.1177/09721509261423472 https://www.scopus.com/pages/publications/105032446776?origin=resultslist
Triveshika S.S., Christ University, Karnataka, Bengaluru, India; Srivastava S., Christ University, Karnataka, Bengaluru, India; Dwivedi A., Jindal Global Business School, O. P Jindal Global University, Haryana, Sonipat, India, 3School of Business Administration, American University of Sharjah, University City, Sharjah, United Arab Emirates; Shardeo V., FORE School of Management, Delhi, New Delhi, India; Dubey S., Symbiosis International University, Dubai, United Arab Emirates, Symbiosis International (Deemed) University, Pune, India
Work Tasks Motivation in Relation to Occupational Self-Efficacy and Thinking Skills of Secondary School Teachers
Education is a dynamic enterprise which is centred on the processes of teaching and learning. All the systems that are connected with the education of an individual should be taken care of for the betterment of the teaching-learning process. Teachers are one of the important sources of inspiration for the students. Every aspect of the teaching-learning process such as the instructional strategies, assessments, student management, the environment etc. has been changing due to the technological innovations and social advancements. The teachers have to be equipped with new technologies that will lead to innovations in education methodologies. The development of necessary skills and belief in their profession is essential for motivating teachers to adapt and adjust to the challenges, the changing attitudes and habits of children. Also, the teachers are expected to perform multiple tasks rather than a particular one. The present study aimed at assessing the types of motivation towards specific work tasks, efficacy towards their occupation and thinking skills of secondary school teachers of Bengaluru. The study reported that Intrinsic Motivation and Identified Regulation led to positive outcomes whereas Introjected, External Regulations and Amotivation led to negative results. The demographic variable, gender had no significant effect on the variables under the study. A significant difference was found for the types of motivation for specific tasks with respect to subject specialisations, types of management, and years of experience. The study thus gives an insight into the motivational processes of a teacher which will be helpful in creating a positive work environment.
Receptivity to Change, Work Motivation, and Teacher Engagement among Secondary School Teachers
The present study investigated the teachers receptivity to change in relation to work motivation and teacher engagement among secondary school teachers in Kerala, India. The study primarily focussed on the newlinedevelopment and validation of the Teachers Receptivity to Change Scale. The way the teachers receive the change is a vital determinant that defines the successful execution of the change. The present study used a mixed-methods sequential explanatory design, which proceeded through three phases. The tool construction, which progressed through five stages namely, item analysis, exploratory factor analysis, confirmatory factor analysis, validity assessment, and test-retest reliability, constituted the newlinefirst phase. The development of the tool started with the generation of a pool of items followed by item analysis. The exploratory factor analysis extracted four factors and the confirmatory factor analysis confirmed the four factors namely individual, organizational, educational, and bridging newlinefactors. The structural equation modelling corroborated that the scale excellently fits in the four-factor correlated model and indexed receptivity to change as the sum of the four factors. The final 28-item Teachers newlineReceptivity to Change Scale showed adequate internal consistency (Cronbach s and#945; = .90) and discriminant validity. The validity assessment indicated a moderate correlation between receptivity to change, work motivation, and teacher engagement. The test re-test reliability analysis (Cronbach s and#945; = .88) confirmed the temporal stability of the scale. In the second phase, a sample of 433 secondary school teachers of Kerala, newlineresponded to the standardised questionnaires namely Teachers Receptivity to Change Scale, Multidimensional Work Motivation Scale, newlineand Engaged Teachers Scale. The study also assessed the influence of demographic characteristics such as gender, type of institution, age, subject taught, and years of experience using the Mann-Whitney U-test, newlineand Kruskal-Wallis test.
Can we improve the outcome of pregnancies with low serum PAPP-A in the first trimester?
first-trimester screening; micronized vaginal progesterone; PAPP-A; Pregnancy; preterm birth
Low birth weight is associated with various complications, and recent findings rely on the fact that micronized progesterone supplementation leads to improved birth weight, which is crucial for addressing concerns related to fetal growth. Objective: This study aimed to assess the impact of micronized progesterone (VMP4) supplementation on pregnancies with low serum pregnancy-associated plasma protein-A (PAPP-A) multiples of the median (MoM) values during first-trimester screening. Methods: Out of 8933 patients evaluated, 116 pregnant women with low PAPP-A concentrations in their blood and no fetal chromosomal anomalies (CAs) were included. Three groups were formed: group 1 received VMP4 from 11 to 16weeks (29 women, 25%), group 2 received VMP4 from 11 to 36weeks (25 women, 21.5%), and group 3 (62 women, 53.5%) served as controls without receiving progesterone. Results: Results indicated that group 3 had higher rates of complications, including miscarriages (16.37%), preterm delivery (17.8%), and fetal developmental abnormalities (19.4%). Birthweight variations were elevated in pregnancies without progesterone, contrasting with lower variations in VMP4 groups. Group 2, receiving VMP4 until 36weeks, reported the lowest incidence of abortion and preterm birth (PB), along with the highest mean birth weight. Conclusions: The conclusion suggests that 200 mg per day of VMP4 up to 36weeks of supplementation led to fewer placental-related complications in women with very low PAPP-A at first-trimester screening (0.399 MoM). By reporting lower rates of miscarriages, PBs, and fetal developmental abnormalities in the micronized progesterone-treated groups, the study suggests a potential reduction in complications. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Tsibizova V.; Al-Sannan B.; Fedorova A.; Govorov I.; Meyyazhagan A.; Di Renzo G.C.
Journal of Maternal-Fetal and Neonatal Medicine, Vol-37, No. 1
ISSN: 14767058; PubMed ID: 38503546; CODEN: JMNMA
Tsibizova V., Almazov National Medical Research Centre, Saint Petersburg, Russian Federation, PREIS International School, Firenze, Italy; Al-Sannan B., Obstetrics and Gynecology Department, Faculty of Medicine, University of Kuwait, Kuwait City, Kuwait; Fedorova A., Leningrad Region Hospital, Saint Petersburg, Russian Federation; Govorov I., Almazov National Medical Research Centre, Saint Petersburg, Russian Federation; Meyyazhagan A., PREIS International School, Firenze, Italy, Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India, Centre of Perinatal and Reproductive Medicine, University of Perugia, Perugia, Italy; Di Renzo G.C., PREIS International School, Firenze, Italy, Centre of Perinatal and Reproductive Medicine, University of Perugia, Perugia, Italy, Department of Obstetrics, Gynecology and Perinatal Medicine, First Moscow Medical University, Sechenov University, Moscow, Russian Federation
Sign reversal of the spontaneous and induced polarisation in a mixture of achiral liquid crystal host and chiral azo dopant
Achiral liquid crystal; azo dopant; polarisation; sign reversal
Achiral liquid crystal, possessing orthogonal smectic A and tilted smectic C phases in its phase sequence, was doped with a chiral photochromic azo dopant. It was found that the spontaneous and induced polarisation in the tilted smectic C* phase and in the orthogonal smectic A phase, respectively, change their sign, as well as their magnitude, under illumination with UV light. The origin of this sign reversal effect is considered to be the different sign of the molecular net dipole moment component y of trans- and cis-isomers of the photochromic azo dopant, respectively. This light-induced sign reversal effect seems to have large potential for applications in the light-light controlled photonic liquid crystal devices, based on this effect. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Tsutsumi O.; Nakano M.; Hegde G.; Komitov L.
Liquid Crystals, Vol-50, No. 5, pp. 872-880.
Tsutsumi O., Department of Applied Chemistry, Ritsumeikan University, Kusatsu, Japan; Nakano M., IP Department, UBE Industries, Ltd, Yamaguchi, Japan; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, India, Department of Chemistry, Christ University (Deemed to be University), Bengaluru, India; Komitov L., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, India, Department of Physics, University of Gothenburg, Gothenburg, Sweden
Role of artificial intelligence in the apparel industry in the context of Industry 4.0 and Industry 5.0
Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials, pp. 163-172.
Tulasi B., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Karanam S., Reliance Retail, Bangalore, Karnataka, India
Gas Kinematics and Dynamics of Carina Pillars: A Case Study of G287.76-0.87
We study the kinematics of a pillar, namely G287.76-0.87, using three rotational lines of 12CO(5-4), 12CO(8-7), 12CO(11-10), and a fine structure line of [O i] 63 ?m in southern Carina observed by SOFIA/GREAT. This pillar is irradiated by the associated massive star cluster Trumpler 16, which includes ? Carina. Our analysis shows that the relative velocity of the pillar with respect to this ionization source is small, ?1 km s?1, and the gas motion in the tail is more turbulent than in the head. We also performed analytical calculations to estimate the gas column density in local thermal equilibrium (LTE) conditions, which yields N CO as (?0.2-5) 1017 cm?2. We further constrain the gass physical properties in non-LTE conditions using RADEX. The non-LTE estimations result in n H 2 ? 10 5 cm ? 3 and N CO ? 1016 cm?2. We found that the thermal pressure within the G287.76-0.87 pillar is sufficiently high to make it stable for the surrounding hot gas and radiation feedback if the winds are not active. While they are active, stellar winds from the clustered stars sculpt the surrounding molecular cloud into pillars within the giant bubble around ? Carina. 2024. The Author(s). Published by the American Astronomical Society.
Tung N.-D.; Tram L.N.; Soam A.; Reach W.T.; Das E.; Chambers E.; Mathew B.; Richter H.
https://doi.org/10.3847/1538-4357/ad3baa https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198098012&doi=10.3847%2f1538-4357%2fad3baa&partnerID=40&md5=7e6d6ef22075324ec6b6f4f75373cd8b
Tung N.-D., University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Hanoi, Viet Nam, Universitde Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 11 rue de lUniversit Strasbourg, 67000, France, UniversitParis Cit UniversitParis-Saclay, CEA, CNRS, AIM, Gif-sur-Yvette, F-91191, France; Tram L.N., Max-Planck-Institut f Radioastronomie, Auf dem Hel 69, Bonn, 53-121, Germany; Soam A., Indian Institute of Astrophysics, II Block Koramangala, Bengaluru, 560034, India, SOFIA Science Center, Universities Space Research Association, NASA Ames Research Center, Moffett Field, 94035, CA, United States; Reach W.T., SOFIA Science Center, Universities Space Research Association, NASA Ames Research Center, Moffett Field, 94035, CA, United States, Space Science Institute, 4765 Walnut Street, STE B, Boulder, 80301, CO, United States; Das E., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560034, India; Chambers E., SOFIA Science Center, Universities Space Research Association, NASA Ames Research Center, Moffett Field, 94035, CA, United States, Space Science Institute, 4765 Walnut Street, STE B, Boulder, 80301, CO, United States; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560034, India; Richter H., German Aerospace Center (DLR), Institute of Optical Sensor Systems, Rutherfordstra 2, Berlin, 12489, Germany
A Machine Learning Approach for Revving Up Revenue of Indian Tech Companies
arima; fb prophet; indian tech companies; machine learning; revenue; v.a.r model
This study addresses a critical gap in research by examining the effectiveness of various machine learning models in predicting revenue for Indian tech companies. The V.A.R, ARIMA, simple moving average, weighted moving average, and FB Prophet models were employed and their performances was compared. The findings demonstrate that FB Prophet consistently outperforms other models, exhibiting superior accuracy in revenue forecasting. This underscores FB Prophet's potential to offer precise revenue predictions, enabling companies to gain insights into their financial health, anticipate market trends, and optimize decision-making. Future research could further enhance accuracy by incorporating economic indicators, providing a more holistic view of revenue dynamics and empowering companies to make more informed strategic decisions. 2024 IEEE.
2nd IEEE International Conference on Data Science and Information System, ICDSIS 2024
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICDSIS61070.2024.10594491 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200126947&doi=10.1109%2fICDSIS61070.2024.10594491&partnerID=40&md5=839ff3e2b69f9adccb24eb4e56707556
Tungar S.K., Christ (Deemed To Be University), Department Of Statistics And Data Science, Karnataka, Bengaluru, India; Umme Salma M., Christ (Deemed To Be University), Department Of Statistics And Data Science, Karnataka, Bengaluru, India
SOCIAL PROTECTION THROUGH MGNREGS: A STUDY OF RAYALASEEMA REGION IN ANDHRA PRADESH
MGNREGS; Rayalaseema; Social Protection; Welfare Transfer
This article attempts to explain how far MGNREGS provides social protection for marginal and disadvantaged sections. To study this, the present paper focuses on backward regions that are in dire need of government support through welfare measures. The bottom sections of society should be given priority while implementing different social welfare schemes like employment guarantee, food security, pensions, scholarships, etc. In this context, this article aims at analysing the role of MGNREGS in providing social protection for different sections of society. The role of MGNREGS can be understood through employment and income generated by the households participated. How many rural households depend on MGNREGS for employment? How much employment was generated under MGNREGS in the backward regions? What is the contribution of MGNREGS to the household income? To what extent is MGNREGS providing social protection to the rural poor compared to other welfare schemes? The present article explores answers to these questions with reference to the Rayalaseema, one of the most backward regions in Andhra Pradesh. 2022 National Institute of Rural Development. All rights reserved.
Journal of Rural Development, Vol-41, No. 1, pp. 102-119.
Turangi S., Department of Economics, Christ (Deemed to be University), Bengaluru, India
Does the relationship between sustainable human resource management and organizational identification vary by culture? Evidence from 35 countries based onGLOBE framework
National culture; Organizational identification; Sustainable HRM practices
Purpose The article discusses the relationships between sustainable HRM and organizational identification, conceptualized at the individual level, and the moderating role of cultural dimensions conceptualized at the country level (described in GLOBEs framework). The studys theoretical model based on social exchange theory proposes that sustainable HRM practice increases organizational identification. However, the strength of this identification depends on the dimensions of national culture. Thus, we assumed national culture functions as a second-level moderator in the relationship between sustainable HRM and organizational identification. Design/methodology/approach We conducted the study with data from 10, 421 employees across 35 countries. We used a multilevel modeling approach for data analysis. Findings The study revealed the cross-level interaction effects of national culture on the relationship between sustainable HRM practice and organizational identification. Specifically, the results indicate that sustainable HRM strengthens employees organizational identification more in cultures with higher levels of gender egalitarianism and lower levels of humane orientation. Originality/value This study demonstrates that the relationship between sustainable HRM practices and employees organizational identification is culturally sensitive. It highlights the need to consider cultural context when assessing the impact of sustainable HRM practices on employee outcomes. Furthermore, it shows that certain cultural dimensions can enhance the effect of sustainable HRM practices. 2025 Dariusz Turek et al. Published by Emerald Publishing Limited.
Turek, Dariusz; Wojtczuk-Turek, Agnieszka; Edgar, Fiona; Podgorodnichenko, Nataliya; Okay-Somerville, Belgin; Fu, Na; Lupina-Wegener, Anna; Klein, Howard J.; Akbas, Gulcin; Al-Romeedy, Bassam Samir; Apospori, Eleni; Bosak, Janine; Caldana, Adriana; Crapolicchio, Eleonora; Chavanovanich, Jennifer; Desjardins, Guillaume; Dorrough, Angela; Dunlop, Patrick; Edralin, Divina; Etikariena, Arum; Fernando, Denise; Galvez Sierra, Lady Brigitte; Gillet, Nicolas; Madero-Gez, Sergio; Gutirez-Crocco, Francisca; Haeffner, Carolin; Hutchings, Paul; Huyghebaert-Zouaghi, Tiphaine; Ikeda, Hiroshi; Jlstr, Maria; Jekel, Marc; Jensen, Dorthe H; Jose, Jerin; Karabat?, Serdar; Kinahan, Mary; Lauzier, Martin; Lawal, Abiodun; Lisak, Alon; Leiva, Pedro; Malayeri, Shera; Manzi, Claudia; Mariani, Marco Giovanni; Martskvishvili, Khatuna; Mayer, Claude-He; Miko?ajczyk, Katarzyna; Molina, Mar JosCharlo; Moscatelli, Silvia; Mli, Matteo; Neto, Felix; Neto, Joana; Renter-Pez, Erico; Petchthip, Narumol; Phelps, Ceri; Pazmay-Ramos, Segundo Gonzalo; Robakidze, Maia; Rojas, Dayamy Lima; Salendu, Alice; Salvati, Marco; Schez-Apelliz, Mercedes; Schmitz, Susana; Sevincer, Timur; Seydi, Masoumeh; Shimazu, Akihito; Sjabadhyni, Bertina; Sullivan, Katie; Sticca, Marina Greghi; Susianto, Harry; Tan, Le; Turkoglu, Beril; Veth, Klaske; Wee, Serena; Zhang, Gangfeng
Central European Management Journal;Volume;33;Issue;4;pp.667-696
https://doi.org/10.1108/CEMJ-04-2024-0121 https://www.scopus.com/pages/publications/105009400043?origin=resultslist
Turek D., SGH Warsaw School of Economics, Warsaw, Poland; Wojtczuk-Turek A., SGH Warsaw School of Economics, Warsaw, Poland; Edgar F., Otago Business School, University of Otago, Dunedin, New Zealand; Podgorodnichenko N., Otago Business School, University of Otago, Dunedin, New Zealand; Okay-Somerville B., Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom; Fu N., Trinity Business School, Trinity College, University of Dublin, Dublin, Ireland; Lupina-Wegener A., ZHAW School of Management and Law, Winterthur, Switzerland; Klein H.J., Fisher College of Business, The Ohio State University, Columbus, Ohio, United States; Akbas G., Atilim University, Ankara, Turkey; Al-Romeedy B.S., University of Sadat City, El Sadat City, Egypt; Apospori E., Athens University of Economics and Business, Athens, Greece; Bosak J., Dublin City University Business School, Dublin, Ireland; Caldana A., Department of Psychology, University of S Paulo, S Paulo, Brazil; Crapolicchio E., UniversitCattolica del Sacro Cuore, Brescia, Italy; Chavanovanich J., Chulalongkorn University, Bangkok, Thailand; Desjardins G., Universitdu Quec en Outaouais, Gatineau, Canada; Dorrough A., University of Cologne, Cologne, Germany; Dunlop P., Curtin Business School, Curtin University, Bentley, Australia; Edralin D., San Beda University, San Miguel, Philippines; Etikariena A., Universitas Indonesia, Depok, Indonesia; Fernando D., Hanze University of Applied Sciences, Groningen, Netherlands; Galvez Sierra L.B., Universidad del Valle, Cali, Colombia; Gillet N., Institut Universitaire de France, Paris, France, Universitde Tours, Tours, France; Madero-Gez S., Tecnologico de Monterrey, Guadalajara, Mexico; Gutirez-Crocco F., Universidad Austral de Chile, Valdivia, Chile; Haeffner C., University of Cologne, Cologne, Germany; Hutchings P., University of Wales Trinity Saint David, Carmarthen, United Kingdom; Huyghebaert-Zouaghi T., Universitde Reims Champagne-Ardenne, C2S, Reims, France; Ikeda H., Kyushu University, Fukuoka, Japan; Jlstr M., University of Vaasa, Vaasa, Finland; Jekel M., University of Cologne, Cologne, Germany; Jensen D.H., Aarhus Universitet, Aarhus, Denmark; Jose J., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Karabat? S., Istanbul Bilgi Universitesi, Istanbul, Turkey; Kinahan M., Maynooth University, Maynooth, Ireland; Lauzier M., Universitdu Quec en Outaouais, Gatineau, Canada; Lawal A., Federal University Oye-Ekiti, Oye, Nigeria; Lisak A., Management Department, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Leiva P., Departamento de Administraci, Facultad de Econom y Negocios, Universidad de Chile, Santiago, Chile; Malayeri S., University of Bern, Bern, Switzerland; Manzi C., UniversitCattolica del Sacro Cuore, Brescia, Italy; Mariani M.G., Department of Psychology Renzo Canestrari, University of Bologna, Bologna, Italy; Martskvishvili K., Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia; Mayer C.-H., University of Johannesburg, Johannesburg, South Africa; Miko?ajczyk K., SGH Warsaw School of Economics, Warsaw, Poland; Molina M.J.C., Universidad de Sevilla, Seville, Spain; Moscatelli S., University of Bologna, Bologna, Italy; Mli M., ZHAW School of Management and Law, Winterthur, Switzerland; Neto F., Universidade do Porto, Porto, Portugal; Neto J., REMIT Research on Economics, Management and Information Technologies, Universidade Portucalense, Porto, Portugal; Renter-Pez E., Universidad del Valle, Cali, Colombia, Universidade Federal da Bahia, Salvador, Brazil; Petchthip N., Kasetsart University, Bangkok, Thailand; Phelps C., University of Wales Trinity Saint David, Carmarthen, United Kingdom; Pazmay-Ramos S.G., Pontificia Universidad Catolica del Ecuador, Quito, Ecuador; Robakidze M., Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia; Rojas D.L., Pontificia Universidad Catolica del Ecuador, Quito, Ecuador; Salendu A., Universitas Indonesia, Depok, Indonesia; Salvati M., University of Verona, Verona, Italy; Schez-Apelliz M., Universidad de Sevilla, Seville, Spain; Schmitz S., Iscte - Instituto Universitio de Lisboa, Centro de Investigao e Interveno Social (CIS - Iscte), Lisbon, Portugal; Sevincer T., Leuphana University Lueneburg, Lueneburg, Germany, Hanse-Wissenschaftskolleg Delmenhorst, Delmenhorst, Germany; Seydi M., Allameh Tabatabai University, Tehran, Iran; Shimazu A., Faculty of Policy Management, Keio University, Fujisawa, Japan; Sjabadhyni B., Universitas Indonesia, Depok, Indonesia; Sullivan K., University of Wales Trinity Saint David, Carmarthen, United Kingdom; Sticca M.G., Department of Psychology, University of S Paulo, S Paulo, Brazil; Susianto H., Universitas Indonesia, Depok, Indonesia; Tan L., School of Economics and Management, Northwest University, Xian, China; Turkoglu B., TED University, Ankara, Turkey; Veth K., Hanze University of Applied Sciences, Groningen, Netherlands; Wee S., School of Psychological Science, The University of Western Australia, Perth, Australia; Zhang G., School of Management, Zhejiang University, Hangzhou, China
Uprooted and Under Pressure: Exploring the Links Between Globalization, Environmental Issues, and Mental Health in Diasporas
Climate crisis; Diasporas; Environmental crisis; Marginalized communities; Mental health
Globalization has both good and bad effects. Among its positive impacts, it has caused a revolution in the environment leading to a major crisis. Quick growth in industry and cities has harmed nature, wildlife, movement of people across the globe, and their health. The damage to our planet and changing weather have put global health and life at risk. Current studies clearly show how the environmental crisis hurts peoples health through polluted air, food scarcity, and unsafe water. However, there is a lack of knowledge about the impact of globalization and the environmental crisis on peoples minds and communities. Globalization-induced changes have led to an environmental degradation and several mental and social problems. According to the World Migration Report (2019) 3.6% of all people on Earth are migrants from other countries, which is about 281 million people. These groups that reside away from their home countries are more vulnerable to dangers resulting from changing world politics, increased conflicts, lack of natural resources, and economic hardships in a new country. Sometimes governmental policies may also push these groups to the side lines. This may limit their access to various services leaving them exposed to the effects of environmental crises. Additionally, a lack of social support, money troubles, and the loss of social and cultural identity can worsen these issues. This can make it harder for them to fit into their new societies and also affect their mental health. The present chapter aims to review the current research to highlight the challenges that diaspora and migrant communities face as a result of environmental crises caused by globalization. It not only focuses on the resulting mental and social stresses but also provides suggestions for policy and treatment. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Navigating Globalization, Diaspora, Foreign Policy and Sustainability;pp.163-177
https://doi.org/10.1007/978-981-96-9079-4_11 https://www.scopus.com/pages/publications/105025630133?origin=resultslist
Tushir B., Department of Psychology, CHRIST (Deemed to be university), Ghaziabad, India; Mittal S., School of Liberal Arts, Bennett University, Noida, India
A Comparative Study of Spectral Indices for Surface Water Delineation Using Landsat 8 Images
AWEI; EWI; GWI; MNDWI; NDFI; NDVI; NDWI; spectral index; Sum457; Surface water delineation; TCW; WNDWI; WRI
Surface water delineation is an important step in performing change detection studies on water bodies with the help of multispectral images. Commonly used techniques for surface water delineation from multispectral images are single band density slicing, spectral index based, machine learning based classification and spectral unmixing based methods. This paper presents a comparative study of commonly used spectral indices Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Water Ratio Index (WRI), Normalized Difference Forest Index (NDFI), Enhanced water Index (EWI), Weighted Normalized Difference Water Index (WNDWI), Automated Water Extraction Index (AWEI), Tasseled Cap Water Index (TCW), Global Water Index (GWI)and Sum457 that were developed for water detection for their suitability and effectiveness when applied on Landsat 8 images. While all the above mentioned indices showed their usefulness in water detection, simpler and faster indices like GWI and Sum457 yielded comparable results to that of more complex ratios like EWI and WNDWI. 2019 IEEE.
2019 International Conference on Data Science and Communication, IconDSC 2019
https://doi.org/10.1109/IconDSC.2019.8816929 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072783542&doi=10.1109%2fIconDSC.2019.8816929&partnerID=40&md5=b91f976215b75a0ed959a845d02968d7
Tv B., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Kn N., Dept. of Civil Engineering, CHRIST, Deemed to be University, Bangalore, India
Augmented Reality; Deep Learning; Neural Networks; Object Recognition; Visualization
This study describes an artificial intelligence (AI)-based object identification system for detecting real-world items and superimposing digital information in Augmented Reality (AR) settings. The system evaluates the camera stream from an AR device for real-Time recognition using deep learning algorithms trained on a collection of real-world items and their related digital information. Object recognition applications in AR include gaming, education, and marketing, which provide immersive experiences, interactive learning, and better product presentations, respectively. However, challenges such as acquiring larger and more diverse datasets, developing robust deep learning algorithms for varying conditions, and optimizing performance on resource-constrained devices remain. The AI-based object recognition system demonstrates the potential to transform AR experiences across domains, while emphasizing the need for ongoing research and development to fully realize its capabilities. 2023 IEEE.
Tyagi A.; Rajpal D.; David A.; Singh J.; Thakur H.K.; Upreti K.
OCIT 2023 - 21st International Conference on Information Technology, Proceedings, pp. 162-167.
Tyagi A., Bennett University, School of Computer Science Engineering and Technology, Greater Noida, India; Rajpal D., Bennett University, School of Computer Science Engineering and Technology, Greater Noida, India; David A., Bennett University, School of Computer Science Engineering and Technology, Greater Noida, India; Singh J., Bennett University, School of Computer Science Engineering and Technology, Greater Noida, India; Thakur H.K., Bennett University, School of Computer Science Engineering and Technology, Greater Noida, India; Upreti K., Christ University, Department of Computer Science, Ghaziabad, India
The position of digital society, healthcare 5.0, and consumer 5.0 in the era of industry 5.0
This chapter explores the dynamic interplay and positioning of Digital Society, Healthcare 5.0, and Consumer 5.0 within the overarching framework of Industry 5.0. The advent of Industry 5.0 marks a significant shift in industrial paradigms, emphasizing the fusion of digital technologies with traditional manufacturing processes. In this context, digital society emerges as a fundamental driver, influencing both industrial and consumer landscapes. Digital Society, characterized by ubiquitous connectivity and information sharing, acts as a catalyst for Industry 5.0. The integration of advanced technologies, such as the internet of things (IoT) and artificial intelligence (AI), facilitates seamless communication and collaboration across industries, fostering innovation and agility in manufacturing processes. Healthcare 5.0, an integral component of this transformative landscape, leverages digital advancements to redefine healthcare delivery. The convergence of AI, big data analytics, and personalized medicine leads to a paradigm shift in patient-centric care. 2024, IGI Global. All rights reserved.
Tyagi A.K.; Arumugam S.K.; Prasad P.R.; Sharma A.
Advancing Software Engineering Through AI, Federated Learning, and Large Language Models, pp. 262-280.
Tyagi A.K., National Institute of Fashion Technology, New Delhi, India; Arumugam S.K., Department of Professional Studies, Christ University, Bangalore, India; Prasad P.R., Malla Reddy Engineering College, Hyderabad, India; Sharma A., Sharda University, Greater Noida, India