Bioactive Compounds and Biological Activities of Ensete Species
subject: Antioxidants; Ensete; Pharmacological activities; Phytochemicals; Traditional medicine
description: Ensete, commonly known as the false banana, is a plant of the subtropical and tropical regions of Asia and Africa. Ensete has received global attention in the past decade. The various parts of the plant, such as the fruits, fruit peel, corm, pseudostem, seed, leaves, flowers, sap, and roots, have been used in traditional medicine to treat various ailments. Starch and other minor/trace components found in Ensete plants have been used as tablet binders, disintegrants, pharmaceutical gelling agents, and sustained release agents in pharmaceuticals and nutraceuticals. Ensete has been used as a staple and co-staple food by Ethiopians and has many ethnomedicinal uses. The present chapter validates the historic use of various parts of Ensete in treating ailments by providing detailed information on the phytochemicals present in the plant and discussing various biological properties such as antioxidant, antimicrobial, antidiabetic, immunomodulatory, hypolipidemic, cytotoxic, antiurolithiatic, antiestrogenic, nephroprotective, and hepatoprotective properties. Springer Nature Switzerland AG 2024.
creator: Banadka A.; Toppo V.; Sudheer W.N.; Ramakrishnan R.; Lakshmaiah V.V.; Al-Khayri J.M.; Nagella P.
source: Reference Series in Phytochemistry, Vol-Part F2504, pp. 77-103.
publisher: Springer Science and Business Media B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 2511834X | LS; 2023-2024; Vol-2; 1186-1212
format: Online
language: English
type: Book chapter
coverage: Banadka A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Toppo V., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Sudheer W.N., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Ramakrishnan R., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Lakshmaiah V.V., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India

The role of Syzygium samarangense in nutrition and economy: An overview
subject: Economical importance; Nutrition; Pharmacological activity; Phytochemicals; Syzygium samarangense
description: Syzygium samarangense (Blume) Merr & Perry is a tropical evergreen fruit tree from the family Myrtaceae majorly cultivated in South East Asia. The crispy and juicy fruits are highly nutritious and range from deep red to white color. This underutilized fruit is eaten raw or used in making jams, jelly, juice, salad, wine making and also used in garnishing. The cultivation of this fruit has been extended to a larger area with the improvement of technology. The fruit is rich in secondary metabolites like alkaloids, terpenes, and, tannins; minerals like calcium, copper, chlorine, iron, manganese, magnesium, phosphorus, potassium, sulfur, zinc, and vitamins such as niacin, riboflavin, thiamin, and vitamin C. The bark, fruit, and flower have pharmacological properties such as antibacterial, anticancer, antidiabetic, anti-inflammation, anti mutation, antinociceptive activity, antioxidation activities, antiulcerogenic effect, and wound healing activity. The present review discusses the biology, the improved varieties of fruit, and geographic distribution of S samarangense, the cultivation and harvesting practices, pharmacological activities, the industrial applications, and the economic importance of fruit. The review also emphasizes the future outlook and strategies that can be adopted to transform this underutilized fruit into a fruit of commercial importance. 2022 SAAB
creator: Banadka A.; Wudali N.S.; Al-Khayri J.M.; Nagella P.
source: South African Journal of Botany, Vol-145, pp. 481-492.
publisher: Elsevier B.V.
date: 2022-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 2546299; CODEN: SAJBD
format: Online
language: English
type: Review
coverage: Banadka A., Department of Life Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Wudali N.S., Department of Life Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Nagella P., Department of Life Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India

Food Detection and Recognition Using Deep Learning - A Review
subject: Convolutional neural network; Food recognition; Image classification; inception v3 model; ResNet; Transfer learning; Vision transformers
description: Studies show poor lifestyle choices and unhealthy eating patterns cause issues like obesity and other ongoing illnesses that raise the risk of heart attacks, such as hypertension, abnormal blood sugar levels, and diabetes. To improve this situation a lot of health apps have been built which use modern dietary monitoring systems that automatically evaluate dietary intake using machine learning and deep learning techniques rather. For these reasons indepth investigations on food detection, classification, and analysis have been conducted. Some of the top methods for automatic food recognition created have been discussed in this paper. We also propose an idea for detection of Indian food items using image classification. According to our findings of the papers we reviewed, convolutional neural networks (CNN) have been extensively been used in food detection as it has been giving better results compared to other models. We also observed that Vision transformers perform better in situations where the dataset is large and a hybrid model would give better accuracy. A review of potential applications for food image analysis, shortfalls in the area, and open issues concludes the paper. 2022 IEEE.
creator: Banerjee A.; Bansal P.; Thomas K.T.
source: Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 1221-1225.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022-01-01
rights: Restricted Access
relation: ISBN: 978-166547436-8
format: Online
language: English
type: Conference paper
coverage: Banerjee A., Christ University, Department. of Data Science, Lavasa, Pune, India; Bansal P., Christ University, Department. of Data Science, Lavasa, Pune, India; Thomas K.T., Christ University, Department. of Data Science, Lavasa, Pune, India

Brain Tumor Detection and Classification Using a Hyperparameter Tuned Convolutional Neural Network
subject: Brain Tumor detection; Convolutional neural network; Data pre-processing; MRI scans; Prediction
description: Brain tumor detection using MRI scans when integrated with a deep learning approach can be immensely applied in identifying the tumor at early stages, with minimum medical professional aid. This research paper aims to develop an advanced predictive model that accurately classify brain tumors as benign or malignant using MRI scans. Here, a novel convolutional neural network (CNN) model is proposed to automate tumor detection and improve diagnosis accuracy. The model used a dataset of around 7000 brain cancer data classified into 4 labels which include glioma, meningioma, pituitary, and no tumor. Data wrangling and pre-processing are then applied to unify the images into a single format and remove any inconsistencies. Further the records are segregated into train and test samples with a 70-30 split. The proposed model recorded an optimum accuracy of 94.82%, precision of 94.2%, recall value of 93.7% and f-score metric of 93.9% respectively. In conclusion, the paper concluded that the proposed model can be applied to enhance the precision of both brain tumor diagnosis and prognosis. 2023 IEEE.
creator: Banerjee A.; Jaiswal K.; Biswas T.; Sharma V.; Bal M.; Mishra S.
source: Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 502-506.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 979-835030448-0
format: Online
language: English
type: Conference paper
coverage: Banerjee A., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Jaiswal K., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Biswas T., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Sharma V., CHRIST (Deemed to Be University, Computer Science Department, Delhi NCR, India; Bal M., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, India

Embedding behavioral biases into robo-advisory platforms-case of UAE investors
subject: Behavioral biases; Cognitive fallacies; Herding; Investment decisions; Robo-advisory; UAE
description: Purpose: This study aims to identify individuals' biases while making investment decisions and explore how these biases can be incorporated into a robo-advisory platform to help mitigate these biases. This paper identifies eight investment-related behavioral biases: mental accounting, gamblers fallacy, hindsight, regret aversion, disposition, trend-chasing, loss aversion and herding. Design/methodology/approach: This study uses primary data from 263 respondents across various age groups, of which approximately 50 were wealth management professionals in the UAE. A random sampling method from probability sampling is employed to gather the primary data. The identified biases serve as dependent variables; the age and income of individuals serve as the independent variables. Findings: Age and income are significantly related to mental accounting, herding, gambler fallacy and loss aversion. Existing studies on behavioral finance demonstrate that individuals who make investment decisions are susceptible to cognitive fallacies, leading to nonrational investment decisions. Practical implications: By studying these biases affecting individuals of varying ages and income levels, wealth management professionals can tailor their financial robo-advisory services to address these biases and help clients build wealth with consistent investment. Originality/value: This study uses survey-based sampling in the context of the UAE; hence, the data and analysis represent originality. 2024, Emerald Publishing Limited.
creator: Banerjee A.; Kumar R.P.; Mohnot R.
source: Journal of Risk Finance, Vol-26, No. 1, pp. 41-55.
publisher: Emerald Publishing
date: 2025-01-01
rights: Restricted Access
relation: ISSN: 15265943
format: Online
language: English
type: Article
coverage: Banerjee A., S P Jain School of Global Management Dubai Campus, Dubai, United Arab Emirates; Kumar R.P., CHRIST University, Bangalore, India; Mohnot R., Ajman University, Ajman, United Arab Emirates

Green space and mental well-being research in India: An urgent need for intervention
subject: Global burden of disease; Green space psychology; India; Mental health; Mental health promotion
description: In recent years, numerous studies have highlighted the positive impact of green spaces on mental health and overall well-being. However, a closer examination reveals a skewed green space research contribution, with developed countries taking the lead. Despite substantial burden of mental health issues, there is a noticeable dearth of green space research within India's academic landscape. In the current paper, we address this gap through a brief review that positions the scope of green space psychology (GSP) in India. We conducted the literature review using a machine learning tool called Crawling Scholar. Our review comprised 325 studies, focusing on five key parameters: the year of publication, geographical context, research design, psychological variables examined, and study population. Our findings indicate a significant body of global research on GSP, while the contribution from Indian scholarship remains negligible. Based on this discrepancy, we propose that incorporating GSP as an intervention and preventive measure could play a crucial role in addressing India's mental health challenges. By integrating traditional practices with the emerging field of GSP, we can harness the potential of green spaces to promote mental well-being. Our findings further underscore the importance of expanding research on GSP within the Indian context and emphasize the need for further investigations into its efficiency. By shedding light on the current status of GSP research in India, we aim to raise awareness among researchers, policymakers, and mental health professionals, fostering a collaborative effort to leverage the benefits of green spaces for the betterment of mental health infrastructure in India. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
creator: Banerjee B.; Basu S.; Kumar L.
source: Impact of Climate Change on Social and Mental Well-Being, pp. 147-201.
publisher: Elsevier
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-044323788-1; 978-044323789-8
format: Online
language: English
type: Book chapter
coverage: Banerjee B., Department of Humanities and Social Sciences, BITS Pilani KK Birla Goa Campus, Goa, India; Basu S., Department of Humanities and Social Sciences, BITS Pilani KK Birla Goa Campus, Goa, India, Department of Psychology, CHRIST University, Karnataka, Bengaluru, India; Kumar L., Department of Computer Sciences and Information Systems, BITS Pilani KK Birla Goa Campus, Goa, India

Study of the Balmer Decrements for Galactic Classical Be Stars Using the Himalayan Chandra Telescope of India
subject: Balmer decrement; Be star; emission lines; spectroscopy; variability
description: In a recent study, Banerjee et al. (2021) produced an atlas of all major emission lines found in a large sample of 115 Galactic field Be stars using the 2-m Himalayan Chandra Telescope (HCT) facility located at Ladakh, India. This paper presents our further exploration of these stars to estimate the electron density in their discs. Our study using Balmer decrement values indicate that their discs are generally optically thick in nature with electron density (ne) in their circumstellar envelopes (CEs) being in excess of 1013 cm-3 for around 65% of the stars. For another 19% stars, the average ne in their discs probably range between 1012 cm-3 and 1013 cm-3. We noticed that the nature of the H? and H? line profiles might not influence the observed Balmer decrement values (i.e. D34 and D54) of the sample of stars. Interestingly, we also found that around 50% of the Be stars displaying D34 greater than 2.7 are of earlier spectral types, i.e. within B0B3. 2024 Societe Royale des Sciences de Liege. All rights reserved.
creator: Banerjee G.; Mathew B.; Bhattacharyya S.; Devaraj A.; Kartha S.; Joshi S.
source: Bulletin de la Societe Royale des Sciences de Liege, Vol-93, No. 2, pp. 504-513.
publisher: Societe Royale des Sciences de Liege
date: 2024-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 17835720; CODEN: BSRSA
format: Online
language: English
type: Conference paper
coverage: Banerjee G., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, India; Bhattacharyya S., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, India; Devaraj A., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, India; Kartha S., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, India; Joshi S., Aryabhatta Research Institute of Observational Sciences, Nanital, India

Study of transient nature of classical Be stars using multi-epoch optical spectroscopy
subject: Bestars: circumstellar matter; Techniques: spectroscopicstars: emission-line
description: Variability is a commonly observed property of classical Be stars (CBe) stars. In extreme cases, complete disappearance of the H? emission line occurs, indicating a disc-less state in CBe stars. The disc-loss and reappearing phases can be identified by studying the H? line profiles of CBe stars on a regular basis. In this paper, we present the study of a set of selected nine bright CBe stars, in the wavelength range of 62006700 to better understand their disc transient nature through continuous monitoring of their H? line profile variations for five consecutive years (20152019). Based on our observations, we suggest that four of the program stars (HD 4180, HD 142926, HD 164447 and HD 171780) are possibly undergoing disc-loss episodes, whereas one other star (HD 23302) might be passing through disc formation phase. The remaining four stars (HD 237056, HD 33357, HD 38708 and HD 60855) have shown signs of hosting a stable disc in recent epochs. Through visual inspection of the overall variation observed in the H? EW for these stars, we classified them into groups of growing, stable and dissipating discs, respectively. Moreover, our comparative analysis using the BeSS database points out that the star HD 60855 has passed through a disc-less episode in 2008, with its disc formation happening probably over a timescale of only two months, between January and March 2008. 2022, Indian Academy of Sciences.
creator: Banerjee G.; Mathew B.; Paul K.T.; Subramaniam A.; Balan A.; Bhattacharyya S.; Anusha R.; Moosa D.; Dheeraj C.S.; Charly A.; Raghu M.
source: Journal of Astrophysics and Astronomy, Vol-43, No. 2
publisher: Springer
date: 2022-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 2506335
format: Online
language: English
type: Article
coverage: Banerjee G., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Paul K.T., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Subramaniam A., Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Balan A., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Bhattacharyya S., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Anusha R., Department of Physics and Astronomy, University of Western Ontario, London, N6A 3K7, ON, Canada; Moosa D., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Dheeraj C.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Charly A., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Raghu M., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India

Optical spectroscopy of Galactic field classical Be stars
subject: Circumstellar matter; Stars: Emission-line, Be; Techniques: Spectroscopic
description: In this study, we analyse the emission lines of different species present in 118 Galactic field classical Be stars in the wavelength range of 3800-9000 We re-estimated the extinction parameter (AV) for our sample stars using the newly available data from Gaia DR2 and suggest that it is important to consider AV while measuring the Balmer decrement (i.e. D34 and D54) values in classical Be stars. Subsequently, we estimated the Balmer decrement values for 105 program stars and found that ?20 per cent of them show D34 ? 2.7, implying that their circumstellar disc are generally optically thick in nature. One program star, HD 60855 shows H? in absorption - indicative of disc-less phase. From our analysis, we found that in classical Be stars, H? emission equivalent width values are mostly lower than 40 which agrees with that present in literature. Moreover, we noticed that a threshold value of ?10of H? emission equivalent width is necessary for FeII emission to become visible. We also observed that emission line equivalent widths of H?, P14, FeII 5169, and OI 8446for our program stars tend to be more intense in earlier spectral types, peaking mostly near B1-B2. Furthermore, we explored various formation regions of Ca II emission lines around the circumstellar disc of classical Be stars. We suggest the possibility that Ca II triplet emission can originate either in the circumbinary disc or from the cooler outer regions of the disc, which might not be isothermal in nature. 2021 Oxford University Press. All rights reserved.
creator: Banerjee G.; Mathew B.; Paul K.T.; Subramaniam A.; Bhattacharyya S.; Anusha R.
source: Monthly Notices of the Royal Astronomical Society, Vol-500, No. 3, pp. 3926-3943.
publisher: Oxford University Press
date: 2021-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 358711; CODEN: MNRAA
format: Online
language: English
type: Article
coverage: Banerjee G., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, 560029, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, 560029, India; Paul K.T., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, 560029, India; Subramaniam A., Indian Institute of Astrophysics, Koramangala, Bangalore, 560034, India; Bhattacharyya S., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, 560029, India; Anusha R., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, 560029, India

Affiliate Marketing and the Symbiotic Relationship in the Pharma Industry
subject: Affiliate marketing; Customer purchase behavior; Healthcare; Mentality; Privacy; Security
description: The objective of the study is to understand the dynamic relationship between customers and the healthcare industry giants in the Indian context. The purpose revolves around how the consumer is benefitting and at the same time, how the indirect third-party affiliates also earn marginal profits along with serving the customers. The study is backed by both primary and secondary data, which were collected from 173 individuals from various fields through a questionnaire. The convenience sampling method was used to select the respondents, and the Technology Acceptance Model (TAM) was used to propose the model for the study. There exists a parallel symbiotic relationship between consumers, pharmaceutical companies, and affiliates. The application of this research can be put to use for the startups, which want to explore and excel in this industry along with the future researchers who want to forecast and study the progress of the pharma companies in the long run. The empirical evidence of this paper highlights a unique relationship between affiliates, the pharma sector, and customers, which drives customer buying behavior and a combination that has not been explored yet. The study provides a unique understanding of how feedback from customers in third-party applications can benefit and produce huge profit margins down the line. 2025 Apple Academic Press, Inc.
creator: Banerjee J.; Kiran P.; Vasudevan M.; Krishna Kishore S.V.
source: Pharma Marketing and Pharmacoeconomics: Opportunities, Challenges, and the Way Forward, pp. 53-70.
publisher: Apple Academic Press
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104010624-2; 978-177491686-5
format: Online
language: English
type: Book chapter
coverage: Banerjee J., School of Business, Manipal Academy of Higher Education, Dubai, United Arab Emirates; Kiran P., School of Business and Economics, Westminister International University, Tashkent, Uzbekistan; Vasudevan M., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Krishna Kishore S.V., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India

Visual encoding of nudge influencers and exploring their effect on sustainable consumption among children
subject: Default programs; Nudge indicators; Pester power; RADAR chart; Sustainability; Sustainable consumption
description: With the growing number of nuclear families that have a higher disposable income, and a willingness to spend for disparate reasons possibly on the only child in the family, children are unquestionably emerging as a critical market segment that marketers would do well to target. However, while marketing to children is necessary, given the current focus on sustainability, encouraging responsible consumption seems to be a prerequisite. Making children environmentally literate would thereby, significantly help in the ongoing efforts to save our planet from environmental degradation. Based on this backdrop, this study investigates the significance of encouraging children to consume 'sustainably'. Drawing upon Richard H Thaler and Cass R Sunstein's Nudge theory, along with the United Nation's Sustainable Development Goals (UNSDG -12), we employ a novel methodology to visually encode information gleaned from the extant literature. Specifically, we discuss the significance of developing sustainable habits in children and analyze the 'nudges' that motivate children to adopt sustainable habits. Additionally, we specify different nudge elements derived from the extant literature and plot them in a RADAR chart. We observe that 'simplified process' and 'ease of access' nudging have the greatest effect when delivered in school. This study has academic, managerial, and societal implications. The findings of the study would help managers to focus on the nudges in their campaigns. Research scholars and academicians could understand the significance of using the 'RADAR' chart methodology and can expand their studies in various other domains. The present study also helps to understand the extant literature and plan for future research in the domain of sustainable consumption. The findings of the study would help schools and parents understand the effective nudges that result in creating responsible consumers that would largely benefit society. 2023 The Authors
creator: Banerjee J.; Moorthy V.; Kiran P.; Krishna Kishore S.V.; Ekiz E.; Chatterjee R.
source: Cleaner and Responsible Consumption, Vol-9
publisher: Elsevier Ltd
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26667843
format: Online
language: English
type: Article
coverage: Banerjee J., Manipal Academy of Higher Education, Dubai, United Arab Emirates; Moorthy V., Christ University, Bangalore, India; Kiran P., Westminster International University in Tashkent, Uzbekistan; Krishna Kishore S.V., Christ University, Bangalore, India; Ekiz E., TEAM University, Tashkent, Uzbekistan; Chatterjee R., IMT Business School, Dubai, United Arab Emirates

Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles
subject: ESG; ESG impact prediction; financial natural language processing; impact prediction; language models
description: Investors and other stakeholders like consumers and employees, increasingly consider ESG factors when making decisions about investments or engaging with companies. Taking into account the importance of ESG today, FinNLP-KDF introduced the ML-ESG-3 shared task, which seeks to determine the duration of the impact of financial news articles in four languages - English, French, Korean, and Japanese. This paper describes our team, LIPIs approach towards solving the above-mentioned task. Our final systems consist of translation, paraphrasing and fine-tuning language models like BERT, Fin-BERT and RoBERTa for classification. We ranked first in the impact duration prediction subtask for French language. 2024 ELRA Language Resource Association.
creator: Banerjee N.; Sarkar A.; Chakraborty S.; Ghosh S.; Naskar S.K.
source: Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings, pp. 244-247.
publisher: European Language Resources Association (ELRA)
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-249381419-7
format: Online
language: English
type: Conference paper
coverage: Banerjee N., Christ (Deemed to be University), India; Sarkar A., Christ (Deemed to be University), India; Chakraborty S., Christ (Deemed to be University), India; Ghosh S., Jadavpur University, India; Naskar S.K., Jadavpur University, India

Bacha Posh: Gender Construct in Afghan Culture Examined through the Lens of Children in Literature
subject: Afghanistan; Bacha Posh; children; culture; gender; Taliban
description: With the fall of the Taliban in 2001 and their return in 2021, Afghanistan has undergone drastic socio-political changes. In many families, children are introduced to the practice of Bacha Posh (dressing up like a boy), an Afghan cultural custom where girls are dressed up as boys until they are married off. Despite children being central to this practice, it has not been studied through their eyes. This article examines the custom of Bacha Posh through the childrens perspective and situates it within the current socio-political scenario of the country. A textual and cultural analysis of three literary works is carried out through a study of their child characters to examine how Afghan culture creates its own gender construct. Two are significant works of childrens literature that revolve around real-life stories of Bacha Posh Nadia Hashimis One Half from the East (2016) and Deborah Ellis The Breadwinner (2000). The third work is The Underground Girls of Kabul (2014) by Jenny Nordberg, a seminal work in the study of Bacha Posh in which Nordberg focuses on the practice of Bacha Posh and presents the voice of children. This article then goes on to study the impact of the restrictive nature of the Taliban regime on girls and its influence on the cultural custom of Bacha Posh. It demonstrates how this practice creates an unstable gender construct among children, as evidenced by the gender dysphoria that some girls experience. It thus demonstrates the impact of culture on gender through filling in the gaps between culture, literature and politics. 2023, The International Academic Forum (IAFOR). All rights reserved.
creator: Banerjee R.; Sharon J.
source: IAFOR Journal of Cultural Studies, Vol-8, No. 2, pp. 65-80.
publisher: The International Academic Forum (IAFOR)
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 21874905
format: Online
language: English
type: Article
coverage: Banerjee R., Christ (Deemed to be University), Bangalore, India; Sharon J., Christ (Deemed to be University), Bangalore, India

Computationally Efficient Machine Learning Methodology for Indian Nobel Laureate Classification
subject: Convolutional Neural Networks (CNNs); Feature Engineering; Haar cascade style; Image Classification; Logistic Regression; Machine Learning (ML); Similarity Checker; Supervised Learning
description: A computationally efficient methodology for Indian Nobel Laureate classification is proposed in this study, emphasizing the optimization of image categorization through supervised learning techniques. Leveraging advancements in Convolutional Neural Networks (CNNs), the research aims to enhance the efficiency and precision of image classification tasks. The study utilizes Logistic Regression for dataset analysis, initially employing browser extensions for mass downloading categorized image data. Haar cascade classifiers are then used for data wrangling, focusing on facial, nose, and mouth recognition. Following this, feature engineering through wavelet transformation reduces image dimensionality, preparing the dataset for the chosen ML model, Logistic Regression. The primary focus is to simplify technology for improved image categorization. Support Vector Machines (SVM), Random Forest, and Logistic Regression are examined, with Logistic Regression emerging as the most effective model, achieving an accuracy rate of 87.5%. A thorough evaluation using Confusion Matrices reveals Logistic Regression's superior performance in classifying images of Indian Nobel laureates. A strategic up-sampling approach is implemented to address dataset inconsistencies, ensuring balanced representation across classes. The Haar wavelet transform is then applied for feature extraction, optimizing the dataset for ML models. The dataset is split into training and testing sets (80-20), and the three models are trained and evaluated for accuracy. Logistic Regression proves to be the best performer, offering insights into prominent leaders' identification. The research offers a detailed pipeline for data preprocessing, feature engineering, and model assessment, culminating in a robust image categorization system. Logistic Regression emerges as a reliable method for biographical picture identification, demonstrating superior accuracy over SVM and Random Forest. This research underscores the import…
creator: Banerjee S.; Joy H.K.
source: RAICS - IEEE Recent Advances in Intelligent Computational Systems, No. 2024
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 27695565; ISBN: 979-835038168-9
format: Online
language: English
type: Conference paper
coverage: Banerjee S., Artificial Intelligence & Machine Learning, Christ Deemed to be University, Department of Computer Science, Bengaluru, India; Joy H.K., Christ Deemed to be University, Department of Computer Science, Bengaluru, India

Optimal ordering and discounting policy for a segmented market with price and freshness dependent demand for mixed quality product
subject: discount; freshness and selling price dependent demand; random proportion defective; segmentation; unsegmented market
description: Owing to various factors, fresh produce purchased by the retailer is initially of mixed quality. A random proportion of the lot would generally have lost some freshness before being received in stock, while the remaining items would still be fresh. This calls for some discount initially for the former, and later, when the latter product is not so fresh. For demand declining with increase in selling price and decrease in freshness, this paper deals with optimal ordering and discounting policy when the lot received is of mixed quality and the market has two segments differentiated by the initial product quality sold simultaneously at widely different prices. Sufficient conditions for existence and uniqueness of optimal cycle length and the optimal discount are obtained. Sensitivity analysis reveals that increase in freshness time and proportion of initially fresh items in the lot result in increased profit rate. Copyright 2024 Inderscience Enterprises Ltd.
creator: Banerjee S.; Parmal V.; Agrawal S.
source: International Journal of Applied Management Science, Vol-16, No. 2, pp. 113-137.
publisher: Inderscience Publishers
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17558913
format: Online
language: English
type: Article
coverage: Banerjee S., School of Statistics, Devi Ahilya University, Indore, India; Parmal V., School of Statistics, Devi Ahilya University, Indore, India, Chameli, Devi Group of Institutions,, Indore, India; Agrawal S., Christ (Deemed to be University), NCR, Delhi, India

Is carbon neutrality a reality for India?
description: India, the third-largest carbon dioxide emitter in the world, aims to achieve zero emissions by 2070. India is committed to its Panchamrit and has launched various initiatives such as green bonds, carbon credits, carbon market, investing in green hydrogen, etc. However, given the present scenario with respect to the dependency on coal-based power generation and lack of green financing, the present article assesses the different solutions and their practicality in achieving carbon neutrality. (2024), (Indian Academy of Sciences). All rights reserved.
creator: Banerjee S.; Tayal Y.
source: Current Science, Vol-127, No. 8, pp. 895-897.
publisher: Indian Academy of Sciences
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 113891; CODEN: CUSCA
format: Online
language: English
type: Article
coverage: Banerjee S., Department of Economics, CHIRST (Deemed to be University), Bengaluru, 560 029, India; Tayal Y., Department of Economics, CHIRST (Deemed to be University), Bengaluru, 560 029, India

The Shame of Ageing During Fourth Industrial Revolution: A Thematic Analysis of Indian Adults
description: The Fourth Industrial Revolution (4IR), a term popularised by Klaus Schwab in 2016, connected the physical-biological and the digital world. This is an era of artificial intelligence and computational technologies suited to satiate the needs of the human race. The emphasis is also on a digital identity we have developed alongside our physical and psychological entities. Millennials and Gen Z have a cognizant grip on their digital identity and are known to use the fruits of 4IR in their everyday livelihood. However, with the advent of Industry 4.0, the generation of Baby Boomers and Gen X have had to undergo much re-learning and accommodate the newer ways of integrating digitalization in their lives. The process has brought about occupational threats and shaming related to failure to upgradation and flexibility. This article explores the influences of these social experiences on the identity and self-concept of the quinquagenarians and the sexagenarians. The article follows a qualitative method where using a thematic approach, the emerging themes from the in-depth interviews will be analyzed in detail to form a theoretical framework for shaming among the Indian Baby Boomers and Gen X. The variables in focus are adjustment, coping styles, resilience, the purpose of life, and Self-Image. The study explores the themes of Indian adults, which emerge from interviewing 46 participants, who have been associated with full-time employment and are between 77 and 59 years of age, representing the Baby Boomers, and those between 43 and 58 years of age, representing Gen X. The analysis adopts a psychoanalytic approach, where the data is interpreted using an Eriksonian lens. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
creator: Banerjee T.; Pal A.
source: Shame and Ageing in a Transforming World, pp. 201-224.
publisher: Springer Nature
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-303154585-6; 978-303154584-9
format: Online
language: English
type: Book chapter
coverage: Banerjee T., Christ (Deemed to be University), Bangalore, India; Pal A., company developing next-generation Space Missions, West Bengal, Kolkata, India

Suicide and Youth: Positive Psychology Perspective
subject: Adolescents; Crisis management; Intervention; Positive psychology; Preventive; Suicide; Suicide prevention; Young adults
description: Suicidality and self-harm among adolescents and young adults need immediate attention and support. This is often seen as a cry for help where a feeling of entrapment experienced by individuals pushes them to see self-harm as a coping mechanism. Lack of social support and co-morbid emotional disorders influences suicidal ideation into planning and action. A general feeling of helplessness that gets triggered often leads to anguish. These emotions get internalized and directed inwards leading to self-directed anger which facilitates a suicidal act. Early detection and identification can prevent the loss of lives and help individuals to learn effective ways of coping. Gatekeeper Training for caregivers, teachers, and their peers will help in detecting the early signs of suicide risk. Intervention based on positive psychology will help not only in crisis management but also as preventive and maintenance therapy in holistic mental health. The concepts of hope, forgiveness, self-compassion, gratitude, and resilience can be incorporated into the intervention programs to build a better therapeutic system for youths dealing with suicidality. Practicing effective coping mechanisms every day and making it a ritual of ones daily life is the need of the hour. Integrating adaptive ways of emotional expression and learning matured means to deal with painful emotions and trauma is what needs to be incorporated into the intervention plan. The chapter focuses on these aspects and aims to make a connection between assessing and easy identification of youths in distress related to suicidality and providing a holistic intervention to help them cope with the situation. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
creator: Banerjee T.; Reddy K.J.
source: Handbook of Youth Development: Policies and Perspectives from India and Beyond, pp. 327-342.
publisher: Springer Nature
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 978-981994969-4; 978-981994968-7
format: Online
language: English
type: Book chapter
coverage: Banerjee T., Department of Psychology, CHRIST (Deemed to Be University), Bengaluru, India; Reddy K.J., Department of Psychology, CHRIST (Deemed to Be University), Bengaluru, India

Embedding behavioral biases into robo-advisory platforms-case of UAE investors
subject: Behavioral biases; Cognitive fallacies; Herding; Investment decisions; Robo-advisory; UAE
description: Purpose: This study aims to identify individuals' biases while making investment decisions and explore how these biases can be incorporated into a robo-advisory platform to help mitigate these biases. This paper identifies eight investment-related behavioral biases: mental accounting, gamblers fallacy, hindsight, regret aversion, disposition, trend-chasing, loss aversion and herding. Design/methodology/approach: This study uses primary data from 263 respondents across various age groups, of which approximately 50 were wealth management professionals in the UAE. A random sampling method from probability sampling is employed to gather the primary data. The identified biases serve as dependent variables; the age and income of individuals serve as the independent variables. Findings: Age and income are significantly related to mental accounting, herding, gambler fallacy and loss aversion. Existing studies on behavioral finance demonstrate that individuals who make investment decisions are susceptible to cognitive fallacies, leading to nonrational investment decisions. Practical implications: By studying these biases affecting individuals of varying ages and income levels, wealth management professionals can tailor their financial robo-advisory services to address these biases and help clients build wealth with consistent investment. Originality/value: This study uses survey-based sampling in the context of the UAE; hence, the data and analysis represent originality. 2024, Emerald Publishing Limited.
creator: Banerjee, Arindam; Kumar, Raghavendra Prasanna; Mohnot, Rajesh
source: Journal of Risk Finance;Volume;26;Issue;1;pp.41-55
publisher: Emerald Publishing
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 15265943;
format: online
language: English
type: Article
coverage: Banerjee A., S P Jain School of Global Management Dubai Campus, Dubai, United Arab Emirates; Kumar R.P., CHRIST University, Bangalore, India; Mohnot R., Ajman University, Ajman, United Arab Emirates

Fine-Tuning Large Language Models for Personality Development
subject: fine tuning; large language models; LoRA; parameter efficient fine tuning; personality development; QLoRA
description: Large Language Models (LLMs) are state-of-the-art in Natural Language Processing (NLP) tasks but are extremely challenging to fine-tune with their size and computational needs. The current research targets the fine-tuning of the OpenLLaMA-3B model for personality development tasks with parameter-efficient fine-tuning (PEFT) via LoRA and QLoRA. To deal with hardware limitations, 4-bit quantization through BitsAndBytes was used, lowering memory without affecting accuracy. A FAISS-based Retrieval-Augmented Generation (RAG) pipeline was also used to improve contextual reliability. Semantic similarity (cosine similarity), BLEURT, ROUGE, and human evaluation were used to evaluate the model. The results of this experiment show that semantic similarity greatly increasing from 0% before fine-tuning to 80% after fine-tuning, demonstrating the benefit of PEFT and quantization in domain adaptation. The work illustrates that by leveraging effective fine-tuning, quantization, and retrieval augmentation, LLMs can be deployed at scale under limited resources while providing high contextual accuracy for personality development purposes. This approach not only enhances knowledge of the job, but it also has practical scalability for educational and self-improvement purposes. The findings highlight a viable path forward for applying small, yet strong, LLMs to personalized learning and adaptive human-AI interaction. 2025 IEEE.
creator: Banerjee, Atmika M.; Mukhopadhyaya, Keka
source: Proceedings of the 9th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2025;pp.2109-2116
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 979-833159929-4;
language: English
type: Conference paper
coverage: Banerjee A.M., Christ (Deemed to be University), Department of Cse, Bengaluru, India; Mukhopadhyaya K., Cmr Institute of Technology, Department of Ece, Bengaluru, India