Prioritizing evaluation criteria of IoT-driven warehousing startups: asilver lining to the unorganized sector in food supply chain
AHP and COPRAS; Food and beverage; Internet of Things; Unorganized sector; Warehousing startups
Purpose: This research is designed to meet two research objectives: firstly, to weigh up the criteria of Internet of Things (IoT) adoption in warehousing startups; secondly, to rank warehousing startups on the basis of benefits they derive from IoT adoption catering to an unorganized sector in the food supply chain. Design/methodology/approach: A blend of analytic hierarchy process (AHP) and complex proportional assessment (COPRAS) methods of multi-criteria decision-making techniques were applied. AHP determined the weights of various criteria using pairwise comparison, and COPRAS technique ranked the 10 warehousing startups on account of performance indicators. The study has been conducted at the warehousing startups of Bangalore, a hub of food warehousing startups. Findings: The critical findings of the study revealed that these food warehouse startups attain improved productivity in terms of enhancing efficiency when implemented with IoT adoption. When evaluated using both AHP and COPRAS techniques, the combined results show WH5 as the best performing and WH10 as the least performing warehouse startups. Practical implications: Warehouses that are embarking on their business opportunity in food storage can strategize to leverage the benefits of IoT in terms of food safety and security, capacity planning, layout design, space utilization and resilience. Originality/value: Despite the numerous research works on food supply chain, the research on IoT in warehousing startups is limited. The rankings for the 10 food warehousing startups integrated with IoT using AHP-COPRAS approaches are the novelty of this work. 2024, Emerald Publishing Limited.
International Journal of Logistics Management
Vedapradha R., School of Commerce, Mount Carmel College Autonomous, Bangalore, India; Joshi D., Department of Operations and Supply Chain Management, St. Josephs Institute of Management, Bangalore, India; Hariharan R., School of Business and Management, Christ (Deemed to be University), Yeshwanthpur Campus, Bengaluru, India
Endurance and Evolution: Exploring Levels of Resilience Among Indian Breast Cancer Survivors
breast cancer; India; phenomenology; posttraumatic growth; quality of life; resilience; trauma
Resilience for Indian women with breast cancer involves maintaining positivity and adaptability amid the complex challenges affecting their physical, emotional, and social well-being. However, research focused on resilience amongst this population in Indian settings is limited. Therefore, the aim of the study is to explore the experience of levels, patterns, and processes of resilience in Indian women living with breast cancer. A qualitative phenomenological approach was used to study resilience. Thirty-three participants from two hospitals underwent semistructured interviews, including survivors, women in cancer therapy, and family members. Data collected via audio recordings were analyzed using reflective thematic analysis techniques. The finding describes four themes of experience of resilience in women living with breast cancer. (a) Cancer diagnosis is a life-changing experience. Breast cancer diagnosis and therapy cause existential crisis, psychological distress, and social stigma. (b) Restoring healthy perception in an adverse event. Navigating challenges and achieving a balance between internal and external factors. (c) Types of supportthe pathway to resilience. Enhanced their resilience through internal support including attributes, past experiences, sociodemographic factors, and brain fitness. External support includes family, friends, religious or spiritual advisors, medical care, role models, other cancer survivors, and comfortable environments. (d) Learning and growing from the experience. Gained a better perspective on life, ultimately resulting in a new normal and finding meaning in the experience. Data show breast cancer survivors experience dynamic resilience, highlighting the need for culturally tailored interventions and supportive avenues within cancer care by healthcare providers and policymakers. The Author(s) 2024.
Alexander A.; Kuruveettissery S.; Ramesh R.S.; Srinath B.S.; Appachu S.; Thippeswamy R.
Alexander A., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India, Division of Molecular Medicine, St John's Research Institute, St John's Medical College, Bengaluru, India; Kuruveettissery S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Ramesh R.S., Department of Surgical Oncology, St. John's Medical College, Bengaluru, India; Srinath B.S., Sri Shankar Cancer Hospital and Research Centre, Bengaluru, India; Appachu S., Sri Shankar Cancer Hospital and Research Centre, Bengaluru, India; Thippeswamy R., Sparsh Hospital, Bengaluru, India
DTDO: Driving Training Development Optimization enabled deep learning approach for brain tumour classification using MRI
A brain tumour; Child Drawing Development Optimization (CDDO); Driving Training Development Optimization (DTDO); Magnetic Resonance Imaging (MRI)
A brain tumour is an abnormal mass of tissue. Brain tumours vary in size, from tiny to large. Moreover, they display variations in location, shape, and size, which add complexity to their detection. The accurate delineation of tumour regions poses a challenge due to their irregular boundaries. In this research, these issues are overcome by introducing the DTDO-ZFNet for detection of brain tumour. The input Magnetic Resonance Imaging (MRI) image is fed to the pre-processing stage. Tumour areas are segmented by utilizing SegNet in which the factors of SegNet are biased using DTDO. The image augmentation is carried out using eminent techniques, such as geometric transformation and colour space transformation. Here, features such as GIST descriptor, PCA-NGIST, statistical feature and Haralick features, SLBT feature, and CNN features are extricated. Finally, the categorization of the tumour is accomplished based on ZFNet, which is trained by utilizing DTDO. The devised DTDO is a consolidation of DTBO and CDDO. The comparison of proposed DTDO-ZFNet with the existing methods, which results in highest accuracy of 0.944, a positive predictive value (PPV) of 0.936, a true positive rate (TPR) of 0.939, a negative predictive value (NPV) of 0.937, and a minimal false-negative rate (FNR) of 0.061%. 2024 Informa UK Limited, trading as Taylor & Francis Group.
Prasad V.; Jeba Jingle I.D.; Sriramakrishnan G.V.
Network: Computation in Neural Systems, Vol-35, No. 4, pp. 520-561.
Prasad V., Department of Computer Science & Engineering, Lendi Institute of Engineering & Technology, Jonnada, India; Jeba Jingle I.D., Department of Computer Science & Engineering, Christ (Deemed to be University), Bangalore, India; Sriramakrishnan G.V., Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India
INVESTING IN WOMEN, INVESTING IN THE PLANET: QUANTIFYING THE IMPACT OF WOMEN'S EMPOWERMENT ON ENVIRONMENTAL SUSTAINABILITY; [INVESTIR NAS MULHERES, INVESTIR NO PLANETA: QUANTIFICAR O IMPACTO DO EMPODERAMENTO DAS MULHERES NA SUSTENTABILIDADE AMBIENTAL]; [INVERTIR EN LAS MUJERES, INVERTIR EN EL PLANETA: CUANTIFICAR EL IMPACTO DEL EMPODERAMIENTO DE LAS MUJERES EN LA SOSTENIBILIDAD AMBIENTAL]
Co2 Emissions; Environmental Sustainability; Gender Parity Index; Labour Force Participation; Women's Empowerment
Objective: This study finds out the correlation between the indicators of womens empowerment, including variables like gender parity index in tertiary education, female labour force participation and seats held by women in national parliament, and a variable of environmental sustainability such as CO2 emissions (metric tons per capita). The aim is to analyse existing datasets to know the impact of independent variables on dependent variable. Method: The study uses multiple linear regression to evaluate the effects of independent variables indicators of women's empowerment on the dependent variable, CO2 emissions, using secondary data from the World Bank covering the years 1990 to 2022. The Breusch-Pagan and Breusch-Godfrey LM tests are used to look at heteroskedasticity and autocorrelation, respectively, and VIF is used to find multicollinearity. Results and Conclusion: The study concludes that there is a statistically significant relationship between lower CO2 emissions and increases in the percentage of female seats in the national parliament (-3.73) and higher female labour force participation (-6.04). The gender parity index (GPI) in tertiary education, which is -0.2997, does not, however, appear to have a statistically significant impact on CO2 emissions. Implications: This research can serve as a cause for redesigning gender-responsive environmental initiatives and promoting a more sustainable and equitable future. Originality/Value: This study contributes empirical knowledge to the body of literature by showing the potential contribution of women's empowerment in addressing environmental issues and emphasising the significance of taking gender into account in environmental policy and decision-making processes. 2024 ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao. All rights reserved.
Sharma L.; Salineeta; Poddar P.N.; Singhal P.B.
Revista de Gestao Social e Ambiental, Vol-18, No. 6
ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao
All Open Access; Hybrid Gold Open Access
https://doi.org/10.24857/RGSA.V18N6-096 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193513840&doi=10.24857%2fRGSA.V18N6-096&partnerID=40&md5=e2cf6c9f7613c632a7e7b0b1313adfe0
Sharma L., Christ University, Bengaluru, India; Salineeta, Christ University, Bengaluru, India; Poddar P.N., SIES (Nerul) College of Art, Science and Commerce, NAVI, Maharashtra, Mumbai, India; Singhal P.B., Graphic Era Hill University, Dehradun, India
Development and validation of a multi-dimensional scale to measure the factors influencing fintech firms capacity to impact digital financial inclusion
Business networks; Customer centricity; Digital inclusion; Fintech; Interoperability; Scale development
The purpose of the present study is to develop a multi-item scale to measure the factors that affect fintech firms capacity to impact digital financial inclusion. Fintech, or financial service delivery supported by advanced technology, has tremendously changed the financial services landscape. It has a potential to improve digital financial inclusion and help the poor. Digital financial inclusion is important since it ensures cost-saving digital mechanisms to provide financial services to the financially excluded and underserved populations. Following an inductive method, a qualitative study was undertaken among managerial staff in fintech firms. The scale development process involved the collection of primary data for pre-testing the questionnaire. The study identified four factors that affect a fintech firms capability of impacting digital financial inclusion: resources and capabilities, business models, networks and partnerships, and market and environment. Digital financial inclusion scale is composed of digital skills, access, and quality of access. The final scale consisted of sixty-four items. Though financial inclusion is usually measured from a demand-side perspective, this study provides a supply-side measure for digital financial inclusion. Thus, it can help in identifying and understanding the factors that may hamper fintech firms capability to attain desirable outcomes with respect to digital financial inclusion. 2024 Conscientia Beam. All Rights Reserved.
Economics and Finance Letters, Vol-11, No. 1, pp. 18-33.
https://doi.org/10.18488/29.V11I1.3646 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195218112&doi=10.18488%2f29.V11I1.3646&partnerID=40&md5=c505ffce3e18c45a96824a766474b64a
Ravi R., School of Business and Management, CHRIST (Deemed to be University), Delhi NCR Campus, Mariam Nagar, Ghaziabad, 201003, India, Department of Management and Professional Studies, Rajagiri College of Social Sciences, Cochin, India; Pandey N.N., School of Business and Management, CHRIST (Deemed to be University), Delhi NCR Campus, Mariam Nagar, Ghaziabad, 201003, India
An efficient ZnO and Ag/ZnO honeycomb nanosheets for catalytic green one-pot synthesis of coumarins through Knoevenagel condensation and antibacterial activity
catalyst; coumarins; green chemistry; Knoevenagel condensation; silver doped zinc oxide (Ag/ZnO)
This study pioneers the synthesis of porous Ag/ZnO nanosheets, focusing on their role as a catalyst in Knoevenagel condensation. Notably, these nanosheets display exceptional catalytic efficacy and captivating antibacterial properties. The research delves into the Ag/ZnO catalyst's recyclability and proposes a potential reaction mechanism, marking the first comprehensive exploration of Knoevenagel condensation on porous Ag/ZnO nanosheets. Key findings underscore the successful synthesis of coumarin derivatives using various o-hydroxy benzaldehyde and 1,3-dicarbonyl compounds, with nano-Ag/ZnO serving as a catalyst via a monomode microwave-assisted approach. X-ray diffraction (XRD), Field Emission Scanning Electron Microscopy (FE-SEM), Transmission Electron Microscopy (TEM) and UV-Vis spectroscopy were used in conjunction with other physicochemical methods to characterize the synthesized catalytic samples. The method boasts advantages such as high product yields, brief reaction durations, and the ability to reuse the catalyst for multiple cycles. The Ag/ZnO nanosheets, functioning as an acid catalyst, activate carbonyl groups and facilitate their interaction with methylene-containing active molecules. In addition, antibacterial activity assessments demonstrate the superior effectiveness of Ag/ZnO nanocomposites compared to ZnO nanosheets against Staphylococcus aureus germs. This multifaceted study not only advances catalytic synthesis but also unveils promising biological applications of porous Ag/ZnO nanosheets. 2024 Walter de Gruyter GmbH, Berlin/Boston 2024.
Pn P.K.; Ks P.; H Pattanashetty S.; Bc V.K.; Kv A.A.; Abraham A.L.; Varghese F.; Bahir A.A.
https://doi.org/10.1515/zpch-2024-0607 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194410151&doi=10.1515%2fzpch-2024-0607&partnerID=40&md5=9f95a3b62bda2a6f4641cde9db5ebd80
Pn P.K., Department of Chemistry, DRM Science College, Karnataka, Davanagere, India; Ks P., Department of Physics, St. Mary's College, Sulthan Bathery, Wayanad, India; H Pattanashetty S., Department of Chemistry, G.M. University, P.B. Road, Karnataka, Davanagere, 577006, India; Bc V.K., Department of Chemistry, DRM Science College, Karnataka, Davanagere, India; Kv A.A., CPMU, Technical Assistant Trainee, JNCASR, Bengaluru, India; Abraham A.L., Department of Chemistry, Christ University, Bengaluru, India; Varghese F., Department of Physics, St. Mary's College, Sulthan Bathery, Wayanad, India; Bahir A.A., Chemistry Department, Faculty of Science, King Khalid University, Abha, 64734, Saudi Arabia
Deep Dive Into Diabetic Retinopathy Identification: A Deep Learning Approach with Blood Vessel Segmentation and Lesion Detection
Deep learning; diabetic retinopathy; hemorrhages; lesions; microaneurysms; soft exudates
In the landscape of diabetes-related ocular complications, diabetic retinopathy stands as a formidable challenge, reigning as the leading cause of vision impairment worldwide. Despite extensive research, the quest for effective treatments remains an ongoing pursuit. This study explores the burgeoning domain of AI-driven approaches in ocular research, particularly focusing on diabetic retinopathy detection. It delves into various diagnostic methodologies, encompassing the detection of microaneurysms, identification of hemorrhages, and segmentation of blood vessels, primarily utilizing retinal fundus photographs. Our findings juxtapose conventional machine learning techniques against deep neural networks, showcasing the remarkable efficacy of Convolutional neural network (CNN) and Random Forest (RF) in segmenting blood vessels and the robustness of deep learning in lesion identification. As we navigate the quest for clearer vision, artificial intelligence takes center stage, promising a transformative leap forward in the realm of vision care. 2024 River Publishers.
Upreti K.; Kapoor A.; Hundekari S.; Upreti S.; Kaul K.; Kapoor S.; Tiwari A.
Journal of Mobile Multimedia, Vol-20, No. 2, pp. 495-524.
https://doi.org/10.13052/jmm1550-4646.20210 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195080854&doi=10.13052%2fjmm1550-4646.20210&partnerID=40&md5=3209980c2ad4abab645518b8af3a7de3
Upreti K., CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Kapoor A., Maharaja Surajmal Institute of Technology, Delhi, India; Hundekari S., MIT ADT University, Pune, India; Upreti S., Maharishi Markandeshwar (Deemed to be University), Haryana, Ambala, Mullana, India; Kaul K., Bharati Vidyapeeth College of Engineering, Rohini, India; Kapoor S., Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India; Tiwari A., CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India
Elevating pyrrole derivative synthesis: a three-component revolution
Multicomponent; One-pot; Pyrrole; Review; Three-component
Pyrrole is an essential chemical with considerable relevance as a pharmaceutical framework for many biologically necessary medications. The growing demand for biologically active compounds calls for a simple one-pot method for generating novel pyrrole derivatives. Nots surprisingly, several multicomponent reactions (MCRs) aim to synthesize pyrrole derivatives. However, this review presents the three-component synthesis of pyrrole derivatives, highlighting the significance of multicomponent reaction in synthesizing eclectic multi-functionalised pyrrole covering the selected literature on the three-component synthesis of substituted pyrrole from 2016 to late 2023. Furthermore, this article classifies the reactions based on the starting material with functional groups involved in the pyrrole ring formation. Graphical Abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
Kumar S L.; Servesh A.; Chundattu S.J.; Tabassum S.; Govindaraju S.
Kumar S L., Department of Chemistry, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560029, India; Servesh A., Department of Chemistry, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560029, India; Chundattu S.J., Department of Sciences & amp; Humanities, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560074, India; Tabassum S., Department of Chemistry, Surana College, Karnataka, Bengaluru, 560074, India; Govindaraju S., Department of Sciences & amp; Humanities, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560074, India
Enhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity Analysis
Cavity Segmentation; Enhanced U-Net; Post-Operative Brain MRI; Skull Removal; VGG16 Backbone
Brain tumors present a significant medical challenge, often necessitating surgical intervention for treatment. In the context of postoperative brain MRI, the primary focus is on the resection cavity, the void that remains in the brain following tumor removal surgery. Precise segmentation of this resection cavity is crucial for a comprehensive assessment of surgical efficacy, aiding healthcare professionals in evaluating the success of tumor removal. Automatically segmenting surgical cavities in post-operative brain MRI images is a complex task due to challenges such as image artifacts, tissue reorganization, and variations in appearance. Existing state-of-the-art techniques, mainly based on Convolutional Neural Networks (CNNs), particularly U-Net models, encounter difficulties when handling these complexities. The intricate nature of these images, coupled with limited annotated data, highlights the need for advanced automated segmentation models to accurately assess resection cavities and improve patient care. In this context, this study introduces a two-stage architecture for resection cavity segmentation, featuring two innovative models. The first is an automatic skull removal model that separates brain tissue from the skull image before input into the cavity segmentation model. The second is an automated postoperative resection cavity segmentation model customized for resected brain areas. The proposed resection cavity segmentation model is an enhanced U-Net model with a pre-trained VGG16 backbone. Trained on publicly available post-operative datasets, it undergoes preprocessing by the proposed skull removal model to enhance precision and accuracy. This segmentation model achieves a Dice coefficient value of 0.96, surpassing state-of-the-art techniques like ResUNet, Attention U-Net, U-Net++, and U-Net. (2024) Sobha Xavier P., Sathish P. K. and Raju G.
Journal of Computer Science, Vol-20, No. 5, pp. 585-593.
https://doi.org/10.3844/JCSSP.2024.585.593 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194284446&doi=10.3844%2fJCSSP.2024.585.593&partnerID=40&md5=dd8a104fd6768b13e9b519e68bbde065
Sobha X.P., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Sathish P.K., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Raju G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India
Contemporary Indian Way of Settling Down: Emerging Adults Perspective
career decision-making; education; emerging adults; migration; Settling down
Settling down in India historically entailed a culturally constructed notion for individuals, focusing on marriage. An exploration of the modern Indian idea of Settling down was explored in light of the driving forces of globalization and increased migration. The current study explored the concept of Settling down among emerging adults aged between 18 and 29 years who had migrated within the borders of India for education or employment purposes. To this end, semi-structured interviews were conducted. The reflexive thematic analysis method was employed for analysing the data. Emerging themes unveiled that despite marriage being endorsed by a few of the participants, co-habiting relationships were convenient and burden-free. Employment, financial independence, and professional stability emerged as the primary markers of Settling down among migrant emerging adults. It was also recognized that migration had a critical impact on peoples decisions about settling down.. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
International Journal of Adolescence and Youth, Vol-29, No. 1
Chakshu Narayan A., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Chakraborty R., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India
Empowering Adolescent Emergent Readers in Government Schools: An Exploration of Multimodal Texts as Pathways to Comprehension
comprehension; Emergent readers; government-schools; literacy; multimodality
This exploratory study, which was part of a larger investigation into multimodality, looked at the comprehension levels of 62 Grade 8 students from two government schools who were identified as emerging readers out of a group of 118 students. Through observations and interactions with teachers and students, the potential for multimodal texts to enhance comprehension was highlighted. The study specifically compared the effectiveness of a digital comic (Text A) and an audio-visual text (Text B) in enabling comprehension among these emergent readers. Participants were instructed to narrate the content and share their interpretations of these texts, with their responses recorded and analyzed. Feedback revealed a marked preference for Text B among 45 of the 62 emergent readers assessed. Employing theoretical frameworks related to comprehension, language production, multimodality, and task structure, this research concentrated on the subset of 45 students who favored Text B. The findings underscore the importance of aligning instructional materials with students preferred learning modalities, suggesting that such alignment enhances comprehension. The study proposes a refined approach to literacy education policy, advocating for the inclusion of diverse modalities to better meet the varied learning needs of students. 2024 Association of Literacy Educators and Researchers.
Parandhama A., Department of English and Cultural Studies, Christ (Deemed to be) University, Bangalore, India
A Stochastic Method for Optimizing Portfolios Using a Combined Monte Carlo and Markowitz Model: Approach on Python
Correlation; Efficient Frontier; Markowitz Monte Carlo; Pharma index; Return; Risk
The main of the study is to comprehend how the mean variance efficient frontier method may be used in conjunction with Markowitz portfolio theory to produce an optimal portfolio. The study uses daily observations 8 pharma companies closing price namely Auropharma, Granules, Glaxo, Lauruslabs, Pfizer, Sanofi and Torntpharma. Further, Nifty pharma index is considered as benchmark index to check the performance of the chosen companies. The study chosen the reference period from 2020 to 2023 and required data has been extracted from the National Stock Exchange (NSE). This research is based on implementing a stochastic method for efficient portfolio optimisation employing a blended Monte Carlo and Markowitz model. In order to forecast the price of these indices in the future and to determine the likelihood of profit or loss while investing in a portfolio of stocks representing the aforementioned indices, the study also uses Monte Carlo simulation. The study involves two algorithms, namely the deterministic optimisation algorithm, which uses Markowitz Portfolio Theory, and the probabilistic optimisation algorithm, which uses Monte Carlo simulation. The study employed correlation matrix to find the exist relationship between the chosen companies and benchmark index. Also, expected return and volatility has been identified with the help of standard deviation using Python. The study found that the NIFTY Pharma index offers a higher return of 14.35. In addition to this, NIFTY Pharma portfolio's volatility is considerably higher. The study concludes that the NIFTY pharma portfolio is more suitable for those investors who have an appetite for risk. 2024 R. Mallieswari et al., published by Sciendo 2024.
Mallieswari R.; Palanisamy V.; Senthilnathan A.T.; Gurumurthy S.; Joshua Selvakumar J.; Pachiyappan S.
https://doi.org/10.2478/eoik-2024-0014 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194143388&doi=10.2478%2feoik-2024-0014&partnerID=40&md5=e2a3dad8b94cd965555d233832a1a888
Mallieswari R., M S Ramaiah Institute of Management, Karnataka, Bengaluru, India; Palanisamy V., M S Ramaiah Institute of Management, Karnataka, Bengaluru, India; Senthilnathan A.T., Sri Ramakrishna Engineering College, Tamil Nadu, Coimbatore, India; Gurumurthy S., Kumaraguru College of Liberal Arts and Science, Tamil Nadu, Coimbatore, India; Joshua Selvakumar J., Christ University, Karnataka, Bangalore, India; Pachiyappan S., Christ University, Karnataka, Bangalore, India
Finding balance in a digital world: Equanimity as a predictor of nomophobia
emerging adults; Equanimity; India; nomophobia; smartphone usage
The present study examined the relationship between equanimity and nomophobia. The study also examined the differences in experience of nomophobia considering gender, education and employment status. The sample included 216 emerging adults (M = 64, F = 152) from across India. The Equanimity Scale 16 and the Nomophobia Questionnaire were used to measure equanimity and nomophobia, respectively. Mann-Whitney-U test and Rank-Biserial coefficient indicated that gender differences significantly affected the losing connectedness factor of nomophobia. Correlation analysis showed that equanimity had a significant negative relationship with nomophobia and its factors- not being able to access information, giving up convenience and losing connectedness. Regression analysis showed equanimity as a significant predictor of nomophobia. The studys findings hold potential implications for equanimity-based interventions for nomophobia and individual well-being, technological design improvements in the digital age and unfolds areas for future research. 2024 Taylor & Francis Group, LLC.
Journal of Human Behavior in the Social Environment
Nandita K.B., Department of Psychology, Christ (Deemed to be University), Bengaluru, India; Rajan S.K., Department of Psychology, Christ (Deemed to be University), Bengaluru, India
Investing in Indias electric revolution: A case study of OLA electric
environment scanning; external factor evaluation; internal factor evaluation; resource-based view; Venture capital investment
Subject Area: Entrepreneurship, Strategy. Study Level/Applicability: The case is best suited for a course on Entrepreneurial Finance while introducing the sources of finance and a course on Private Equity and Venture capital, while discussing target screening. It exemplifies how new-age ventures can position themselves to attract investments and how venture capital firms use environmental scanning to identify potential investment opportunities. Designed for second-year MBA students, the case assumes familiarity with strategic management concepts like Porters Five Force and Resource-Based View. Case Overview: Amala Menon is a seasoned venture capitalist, strategist, sustainability enthusiast, and founder of Samrithi VentureCaptial and has been actively looking out for investment opportunities in the Electronic Vehicle (EV) space. Believing in the huge potential and the push received by supportive government policies in India, Amala is assessing Ola Electric Mobility Pvt. Ltd (Ola Electric) as an investable option among a list of growing players in the space. A wholly owned subsidiary of ANI Technologies Pvt. Ltd, the parent company of Ola Cabs, Ola Electric, valued at USD 5 billion as of 2022, was founded in 2017 to facilitate mass electric mobility and hence reduce emission and fuel dependency. Though crunching financial metrics and valuation numbers come in during assessing an investment option, she strongly emphasizes evaluating the organizations readiness to obtain further funding in terms of its management team, the potential of the business model and several other crucial parameters. Ultimately, valuation exercise, according to her, aids founders and investors in confirming the strategic positioning of the venture and the business models validity. Hence, at this point, Amala, considering qualitative and quantitative aspects, is focused on assessing whether Ola is a wise investable option compared to its peers. Expected Learning Outcomes: This case study enables participants to: (1) Critically appraise investment prospects in new-age EV startups like Ola Electric considering industry-specific and organization-specific factors. (2) Explore both financial and non-financial factors crucial for evaluating Ola Electrics potential as a promising investment. (3) Evaluate Ola Electric as a potential investment option by leveraging strategic frameworks such as Resource-Based View, Internal and External Factor Evaluation to formulate an investment recommendation. (4) Apply the insights gained from the environmental scan to guide Amalas investment decision regarding Ola Electric. Association for Information Technology Trust 2024.
Journal of Information Technology Teaching Cases
https://doi.org/10.1177/20438869241255963 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195603077&doi=10.1177%2f20438869241255963&partnerID=40&md5=a4bc167ba8eaa85214fd07ce36cbddbc
Simon A.E., Christ University, India; Lakshmanan G., Christ University, India; Paul V., Christ University, India
Citrus Medica-derived Fluorescent Carbon Dots for the Imaging of Vigna Radiate Root Cells
Bioimaging; Carbon dots; Citrus medica; Fluorescence; Hydrothermal Method; Root Cells
Bio-imaging is a crucial tool for researchers in the fields of cell biology and developmental biomedical sector. Among the various available imaging techniques, fluorescence based imaging stands out due to its high sensitivity and specificity. However, traditional fluorescent materials used in biological imaging often suffer from issues such as photostability and biocompatibility. Moreover, plant tissues contain compounds that cause autofluorescence and light scattering, which can hinder fluorescence microscopy effectiveness. This study explores the development of fluorescent carbon dots (Cm-CDs) synthesized from Citrus medica fruit extract for the fluorescence imaging of Vigna radiata root cells. The successful synthesis of CDs with an average size of 6.7nm is confirmed by Transmission Electron Microscopy (TEM). The X-ray diffraction (XRD) analysis and raman spectroscopy indicated that the obtained CDs are amorphous in nature. The presence of various functional groups on the surface of CDs were identified by Fourier transform infrared (FTIR) spectra. The optical characteristics of Cm-CDs were studied by UV-Visible spectroscopy and photoluminescence spectroscopy. Cm-CDs demonstrated strong excitation-dependent fluorescence, good solubility, and effective penetration in to the Vigna radiata root cells with multicolor luminescence, and addressed autofluorescence issues. Additionally, a comparative analysis determined the optimal concentration for high-resolution, multi-color root cell imaging, with Cm-CD2 (2.5mg/ml) exhibiting the highest photoluminescence (PL) intensity. These findings highlight the potential of Cm-CDs in enhancing direct endocytosis and overcoming autofluorescence in plant cell imaging, offering promising advancements for cell biology research. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Varghese M.; Bylappa Y.; Nag A.; Kumbhakar P.; Balachandran M.
Varghese M., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Bylappa Y., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Nag A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Kumbhakar P., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Balachandran M., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India
Social-cognitive Skills Training on Interpersonal Understanding of Social Norms During Adolescence
adolescence; interpersonal understanding; Mental health; social cognition; social norms
Background: Social-cognitive skills training (SCST) in a therapeutic setup can result in more positive outcomes when incorporated with psychotherapy, especially among adolescents with minor social-cognitive impairments in their social interactions. It may result in multifarious benefits to mitigate their social-cognitive dysfunction. This study aimed to identify the effects of SCST on interpersonal understanding of social norms in adolescents with low social cognition. Methods: In this quasi-experimental research, 80 adolescents (1019 years) with low social cognition, no previous experience of skills training, and absence of any psychological disorders, especially those that affect their social-cognitive functioning, with assent from the participants and written informed consent from the parents/guardian and a score below 58 on the Need For Social-Cognition Scale, were included. They were randomly allocated into SCST or waitlist control group. SCST consists of 20 sessions with indoor activities, games, and discussions, and it has been arranged for 1 hour per 3 days a week for 3 months. Edinburgh social cognition test (ESCoT) was used to assess the degree of interpersonal understanding of social norms among adolescents as part of pre and posttests. Results: The Wilcoxon Sign Ranked Test showed that the interpersonal understanding of social norms after SCST is significantly higher than the interpersonal understanding of social norms SCST with a large effect size. The mean (standard deviation) scores in the ESCoT test improved significantly (P < 0.001) following [W = 0.001, P <.001, r = 1.000]. Conclusion: SCST effectively improves the interpersonal understanding of social norms, an essential developmental milestone during adolescence. It highlights the importance of focusing on mental health as a developmental asset that can influence social-cognitive development in the future. 2024 The Author(s).
Indian Journal of Psychological Medicine
Jacob L., Dept. of Psychology, Christ University, Karnataka, Bengaluru, India; Reddy K.J., Dept. of Psychology, Christ University, Karnataka, Bengaluru, India
Exploring the motivating factors for opportunity recognition among social entrepreneurs: aqualitative study
Motivation; Opportunity recognition; Social entrepreneurship; Thematic analysis
Purpose: This paper explores the motivating factors that lead to opportunity recognition among social entrepreneurs in India. Design/methodology/approach: The study followed an exploratory, qualitative design based on thematic analysis of the interview data collected from 13 Indian social entrepreneurs. Findings: The study identifies two aggregate factors that motivate social entrepreneurs: personal and contextual. Personal factors include life experiences, social awareness, social inclination since childhood, spiritual motives, the need for a meaningful career and entrepreneurial intention. Contextual factors included institutional voids, community development, the presence of a role model and volunteer experiences. Research limitations/implications: This study contributes to the social entrepreneurship literature by providing a model for motivating factors that lead to opportunity recognition. This study enables policymakers and social entrepreneurship educators to identify aspiring social entrepreneurs and provide target-specific support to them. Practical implications: This study enables policymakers and social entrepreneurship educators to identify aspiring social entrepreneurs and provide target-specific support to them. Originality/value: The study uniquely contributes to the social entrepreneurship field by offering deep qualitative insights into the motivational and opportunity recognition patterns of social entrepreneurship. 2024, Parvathy Viswanath and A. Sadananda Reddy.
Viswanath P., Christ University, Bangalore, India; Sadananda Reddy A., Christ University, Bangalore, India, Jindal School of Psychology and Counselling, P.O. Jindal Global University, Sonipat, India
PICTURE PROCESSING ON ISOMETRIC FUZZY REGULAR ARRAY LANGUAGES
Boustrophedon fuzzy finite automata; isometric regular array grammars; picture languages; two dimensional fuzzy regular languages
Isometric array grammar is one of the simplest model to generate picture languages, since both sides of its production rule have the same shape. In this paper, we have introduced isometric fuzzy regular array grammars to generate isometric fuzzy regular array languages and discussed its closure properties. Also, the relation between isometric fuzzy regular array grammar and boustrophedon fuzzy finite automata has been discussed. Moreover, we study the relation between two dimensional fuzzy regular grammars with returning fuzzy finite automata and boustrophedon fuzzy finite automata. Further, the hierarchy results of these three classes of languages have been discussed. 2024 KSCAM.
John Kaspar A.; Sheena Chiristy D.K.; Thomas D.G.
Journal of Applied Mathematics and Informatics, Vol-42, No. 3, pp. 483-497.
Korean Society for Computational and Applied Mathematics
https://doi.org/10.14317/jami.2024.483 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195682510&doi=10.14317%2fjami.2024.483&partnerID=40&md5=a63b0b41673e2580e6cd4ca0373e1ba1
John Kaspar A., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sheena Chiristy D.K., Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, Chengalpattu, 603 203, India; Thomas D.G., Department of Mathematics, Madras Christian College, Chennai, Tambaram, 600 059, India
Molecular docking study, and ADMET analysis for the synthesized novel Zn(II) complexes as potential SARS-CoV-2 inhibitors
ADMET; Molecular docking; SARS coronavirus; synthesis; Zinc complexes
A new SARS-CoV-2 virus and its variants including omicron created a pandemic situation and caused more deaths in worldwide prompted many researchers to explore potential drug candidates. In this connection, we explored the first-of-its-kind report on computational studies such as molecular docking, and ADMET properties of Zn(II) complexes. The studies revealed the novel zinc complexes have high binding affinities with the SARS-CoV-2 spike glycoprotein (6vxx) alpha variant (7EKF), beta variant (7ekg), gamma variant (7EKC), delta variant (7V8B), and the omicron variant (7T9J). Molecular docking results of RMSD for SARS-CoV-2 beta variant (7ekg) and gamma variant (7EKC) are within excellent chemical stability in their protein-ligand complex state and should be effective in the biological system. ADME studies provided the better results with no adverse effect of toxicity related AMES along with absence of hepatotoxicity and skin sensitization when compared to Molnupiravir drug and it has a greater hepatotoxicity. This study could open further exploration of these novel zinc complexes for SARS-CoV-2 inhibition. (2024) DergiPark.
Manjunatha M.N.; Chinnam S.; Challa M.; Sushmitha N.; Chigurupati S.; Bobbala P.; Patnala H.; Madamala S.; Fernandes V.T.
Turkish Computational and Theoretical Chemistry, Vol-8, No. 3, pp. 122-128.
https://doi.org/10.33435/tcandtc.1385998 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195859190&doi=10.33435%2ftcandtc.1385998&partnerID=40&md5=ea9cf068ea6993fe4b2c08907a5fa317
Manjunatha M.N., Department of Chemistry, M. S. Ramaiah Institute of Technology (Affiliated to Visvesvaraya Technological University Belgaum), Karnataka, Bengaluru, 560054, India; Chinnam S., Department of Chemistry, M. S. Ramaiah Institute of Technology (Affiliated to Visvesvaraya Technological University Belgaum), Karnataka, Bengaluru, 560054, India; Challa M., Department of Chemistry, M. S. Ramaiah Institute of Technology (Affiliated to Visvesvaraya Technological University Belgaum), Karnataka, Bengaluru, 560054, India; Sushmitha N., Department of Chemistry, M. S. Ramaiah Institute of Technology (Affiliated to Visvesvaraya Technological University Belgaum), Karnataka, Bengaluru, 560054, India; Chigurupati S., Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, Qassim University, Buraydah, 52571, Saudi Arabia, Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Saveetha Nagar Thandalam, Chennai, 602105, India; Bobbala P., R.K. College of Engineering, Kethanakonda, Ibrahimpatnam, Andhra Pradesh, Vijayawada, 521456, India; Patnala H., Department of Science & Humanities, MLR Institute of Technology, Telangana, Hyderabad, 500043, India; Madamala S., Department of Chemistry, MVJ College of Engineering, Near ITBP, Whitefield, Karnataka, Bengaluru, 560067, India; Fernandes V.T., CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India
Unheard and Unseen: Exploring the Disenfranchisement of Perinatal Loss in North-Indian Men
disenfranchisement; gender-based grieving; grief; masculinity; perinatal loss
Mental distress is recognised as common following perinatal loss. But often, existing literature and bereavement care standards focus on women, leaving a gap in understanding mens grief. This qualitative study examined the emotional experiences of males from some Northern states of India, who had experienced perinatal loss, with a focus on grief disenfranchisement. Eleven participants were interviewed using a semi-structured guide. Thematic analysis unveiled themes on the intersection of religiosity and grief, social structuring of grief patterns, gender-based grieving, inhibited expression of grief in men, disenfranchisement of grief, self-focused coping, coping with the help of others, and interpersonal barriers to emotional disclosure. The findings provide valuable insights, helping mental health practitioners better understand mens experiences of perinatal loss and develop more effective support strategies. 2024 SAGE Publications.
Kapil A., Department of Psychology, Christ University, Bengaluru, India; Chakraborty R., Department of Psychology, Christ University, Bengaluru, India