567 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Polycystic ovary syndrome: An exploration of unmarried women's knowledge and attitudes Subject The topic of the resource Awareness; Health and health care behaviours; Lifestyle; Polycystic ovary syndrome; Regular menstrual cycles Description An account of the resource Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder among women of reproductive age and a chief cause of subfertility attributed to ovulation. Besides, lack of knowledge about PCOS, its treatment, and lifestyle changes influence the prognosis. The present qualitative inquiry investigates the knowledge and attitudes of unmarried women towards the syndrome, associated treatment, and necessary lifestyle changes in the fight against the same. A total of 15 participants with PCOS were selected using purposive sampling (n from southern parts of India viz. Kerala and Tamil Nadu states. The telephonic interviews were conducted in late November and early December 2020. He conventional content analysis emerged with six major themes. The themes capsulated women's knowledge, causes, complications and risk factors, treatment of PCOS their perceived importance of health promotive behaviours such as physical activity, sleep patterns, and perceived support from society. The importance of diet, exercise and a healthy lifestyle were additional relevant factors stressed by the respondents. Although the medicines helped participants attain regular menstrual cycles, they also had side effects reported in the discussion. Few respondents reported that they lacked the necessary awareness of PCOS when diagnosed at a younger age. The study enhances the understanding of PCOS from a qualitative approach that has cultural relevance apart from pertinent clinical and lifestyle implications. 2022 The Author(s) Creator An entity primarily responsible for making the resource Rajkumar E.; Ardra A.; Prabhu G.; Pandey V.; Sundaramoorthy J.; Manzoor R.; Sooraj K.V.; Manikandaprabu M.; Badiger T. Source A related resource from which the described resource is derived Heliyon, Vol-8, No. 7 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.heliyon.2022.e09835" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.heliyon.2022.e09835</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133697140&doi=10.1016%2Fj.heliyon.2022.e09835&partnerID=40&md5=4bf53ed33a4ab2409a23d7bf628a873f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133697140&doi=10.1016%2fj.heliyon.2022.e09835&partnerID=40&md5=4bf53ed33a4ab2409a23d7bf628a873f</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 24058440 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajkumar E., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Ardra A., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Prabhu G., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Pandey V., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Sundaramoorthy J., Department of Psychology, Central University of Punjab, Bhatindha, India; Manzoor R., Department of Social Work, University of Science and Technology, Meghalaya, India; Sooraj K.V., Children and Police, State Resource Centre Social Policing, Directorate of Kerala Police, Trivandrum, India; Manikandaprabu M., Department of Psychology, Christ (Deemed to be University) Bannerughatta, Bengaluru, India; Badiger T., Department of Social Work, Central University of Karnataka, Kalaburagi, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhanced Jaya Optimization Algorithm with Deep Learning Assisted Oral Cancer Diagnosis on IoT Healthcare Systems Subject The topic of the resource Computer-assisted diagnoses; Deep learning; Healthcare; Internet of Things; Jaya Optimization Algorithm; Medical imaging; Oral cancer Description An account of the resource Recently, healthcare systems integrate the power of deep learning (DL) models with the connectivity and data processing capabilities of the Internet of Things (IoT) to enhance the early recognition and diagnosis of disease. Oral cancer diagnosis comprises the detection of cancerous or pre-cancerous abrasions in the oral cavity. Timely identification is essential for successful treatment and enhanced prognosis. Here is an overview of the key aspects of oral cancer diagnosis. One potential benefit of utilizing DL for oral cancer detection is that it analyses huge counts of data fast and accurately, and it could not need clear programming of the rules for recognizing abnormalities. This can create the procedure of detecting oral cancer more effective and efficient. Thus, the study presents an Enhanced Jaya Optimization Algorithm with Deep Learning Based Oral Cancer Classification (EJOADL-OCC) method. The presented EJOADL-OCC method aims to classify and detect the existence of oral cancer accurately and effectively. To accomplish this, the presented EJOADL-OCC method initially exploits median filtering for the noise elimination. Next, the feature vector generation process is performed by the residual network (ResNetv2) model with EJOA as a hyperparameter optimizer. For accurate classification of oral cancer, a continuously restricted Boltzmann machine with a deep belief network (CRBM-DBN) model. The simulated validation of the EJOADL-OCC algorithm is tested by the series of simulations and the outcome demonstrates its supremacy over present DL approaches. 2024, American Scientific Publishing Group (ASPG). All rights reserved. Creator An entity primarily responsible for making the resource Rajkumar R.; Valluru D.; Siva Satya Sreedhar P.; Ramshankar N.; Sujatha S.; Somasundaram R.; Sudha M.; Navaneethan S. Source A related resource from which the described resource is derived Journal of Intelligent Systems and Internet of Things, Vol-11, No. 2, pp. 97-110. Publisher An entity responsible for making the resource available American Scientific Publishing Group (ASPG) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.54216/JISIoT.110209" target="_blank" rel="noreferrer noopener">https://doi.org/10.54216/JISIoT.110209</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189005327&doi=10.54216%2FJISIoT.110209&partnerID=40&md5=8e7251f6e1c2adb87150893aa151d51a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189005327&doi=10.54216%2fJISIoT.110209&partnerID=40&md5=8e7251f6e1c2adb87150893aa151d51a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2769786X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajkumar R., Department of ECE, Vel Tech Rangarajan Dr. Saguthala R&D institute of Science and Technology, Tamil Nadu, Chennai, India; Valluru D., Department of IT, MLRITM Engineering College, Hyderabad, India; Siva Satya Sreedhar P., Department of Information Technology, Seshadri Rao Gudlavalleru Engineering College, Krishna district, Andhra Pradesh, Gudlavalleru, India; Ramshankar N., Department of Computer Science and Engineering, R. M. D. Engineering College, Kavaraipettai, Tamil Nadu, Tiruvallur, India; Sujatha S., Department of Electronics and communication Engineering, Christ University, School of Engineering and Technology, Bangalore, India; Somasundaram R., Management Studies Department, Kongu Engineering College, Erode, 638060, India; Sudha M., Department of ECE, Paavai Engineering College (Autonomous), Tamilnadu, Namakkal, India; Navaneethan S., Department of ECE, Saveetha Engineering College, Tamil Nadu, Chennai, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Relation between electricity consumption and economic growth in Karnataka, India: An aggregate and sector-wise analysis Subject The topic of the resource Cross-subsidization; Economic growth; Electricity consumption; Granger causality; Holt-winter smoothening method; Karnataka, India; Per capita consumption Description An account of the resource Karnataka is a highly progressive and rapidly growing state in India, with huge potential for industrial growth, however, it grapples with power deficits and other problems in electricity sector, which make it a good case study for Indian electricity sector. Given the importance of electricity in the urbanisation and growth process, the paper analyses the electricity consumption trend in Karnataka, examine its causality with economic growth at aggregate and sectoral levels using Granger causality test, and forecast the future electricity consumption applying Holt-Winters smoothening (no seasonality) technique. The general trend reflects higher consumption by the agricultural consumers, compared to the revenue-generating 'Industries' and 'Commercial' categories, mainly due to the policy of de-metering and providing 'free' power to agricultural consumers since late 1980s. The Granger causality tests reveal that there is no causality relation (neutrality hypothesis) between electricity consumption and economic growth in Karnataka, for total, agricultural and industrial consumption. This basically stems from the inaccurate measurements of agricultural consumption, higher dependence on captive generation, and poor quality grid supply. Finally, electricity consumption is predicted to be around 69,347 GW h by 2019?20. Future policies should focus on universal metering, reducing cross-subsidization, supplying good quality and reliable power to all sectors, and economical planning of resource-mix to achieve adequate, productive and efficient electricity consumption. 2020 Elsevier Inc. Creator An entity primarily responsible for making the resource Rajkumari L. Source A related resource from which the described resource is derived Electricity Journal, Vol-33, No. 5 Publisher An entity responsible for making the resource available Elsevier Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.tej.2020.106768" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tej.2020.106768</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083007279&doi=10.1016%2Fj.tej.2020.106768&partnerID=40&md5=fcf13417a34685ff5d57027c4033638a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083007279&doi=10.1016%2fj.tej.2020.106768&partnerID=40&md5=fcf13417a34685ff5d57027c4033638a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10406190; CODEN: ELEJE Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajkumari L., Christ (deemed to be University), Bangalore, 560029, India https://archives.christuniversity.in/files/original/0848a022592c0a05223bddb4c9a1ec99.pdf cc347c68b32e61a85dec9641e138d7ae Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Thesis PhD PhD Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource After sale service failures and their influence on customer behavior with reference to home appliances / Subject The topic of the resource Management Creator An entity primarily responsible for making the resource Rajni Gupta - 1720075 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-03 Language A language of the resource English Type The nature or genre of the resource PhD Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PHD PhD PhD Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Relation A related resource 61000273 Title A name given to the resource After-Sale Service Failures and Their Influence on Customer Behaviour with Reference to Home Appliances Subject The topic of the resource Management Studies Description An account of the resource There are continuous technological advancements, and home appliance manufacturers have developed innovative products that make customer's life effortless. The increase in the purchasing power of the customers made the industry more competitive and put an extra burden on the manufacturers to adopt new technologies that help customers solve their problems and fulfil their needs. Firms face problems and challenges in the form of after-sale service failures. After-sale services are an integral part of home appliance products, and the companies can not avoid these while serving the customers. Although the after-service structure is rich in empirical studies on different service sectors like information technology, after-sale service failure, and consumer behaviour modelling in the home appliance have not been adequately investigated in Indian services. Previous researches have relied on understanding the services and their relation to either satisfaction or loyalty. Thus, they have been unable to disentangle the phenomenon of unfavourable reactions after an after-sale service failure from satisfaction and dissatisfaction. After-sale service is an essential component of customer behavioural outcomes. Therefore, businesses need to understand how after-sale service failures influence customer behaviour. Despite service superiority's importance, the home appliance industry lacks industry-specific, widely recognized instruments for after-sale service assessment. The primary goal of this study is to find major after-sale service failures and look at how these after-sale service failures affect customers, leading to unfavourable behavioural reactions. The study used a quantitative approach to understand the issue comprehensively. This research incorporated various after-sale service failure areas discussed and analyzed by previous research. It also discussed service theories and models (Expectancy Disconfirmation Paradigm, Justice Theory, Attribution Theory) related to failures and behaviours. However, this research focuses mainly on how these service failure areas lead to customer behavioural outcomes. Firstly, to know the major after-sale service failure areas, this study prepared the questionnaire based on the literature available on after-sale service failures and customers' reviews and their experience with the after-sale service of the home appliance companies. Data is collected from customers who have experienced after- sale service failures and their subsequent behaviour. The study analyzed the reasons for after-sale service failures, the types of failures that customers encounter, and the impact of these failures on customer behaviour, including their negative word of mouth, switching behaviour, willingness to recommend the brand etc. The findings of this study provided valuable insights into how businesses can improve their after-sale service and retain their customers. The study found seven major after-sale service failures that significantly impact customer behaviours. Unreasonable charges and policy clarity issues are the most significant service failures affecting customers, leading to negative behaviours. These findings show that different types of service failure elicit different reactions. The present study is one of the few empirical studies examining the links between service failures and actual behaviours in consumer durable after-sale service failures. Creator An entity primarily responsible for making the resource Rajni, Gupta Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Contributor An entity responsible for making contributions to the resource R,Sreedhara Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/533985" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/533985</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource English to Hindi Translation System Using Hybrid Techniques Subject The topic of the resource CNN; LSTM; MT5; NLP; RNN; SEQ-TO-SEQ Description An account of the resource Good communication is critical for overcoming cultural and linguistic divides in today's internationalized society. An essential communication component is the Translation of written materials, primarily academic papers, from one language into another. This abstract focuses on the research involved in translating academic publications from Hindi to English. Translating Hindi academic papers into English is naturally hard due to the significant linguistic and cultural differences between the two languages. The proposed work provided an analytical analysis of various models used in language translation, including the seq-to-seq model, MT5, and LSTM, with the help of BLEU score, Learning rate, and average loss. MT5 model outshines others in terms of an average loss of 4.75; meanwhile, LSTM has an average loss of 5.56, and the seq-to-seq model has an average loss of 6.09, implying weaker Translation. 2024 IEEE. Creator An entity primarily responsible for making the resource Rajora B.; Yogish D.; Elappila M. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649378" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649378</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203809572&doi=10.1109%2FInC460750.2024.10649378&partnerID=40&md5=0e086e6c94355700d3ad1321f6138543" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203809572&doi=10.1109%2fInC460750.2024.10649378&partnerID=40&md5=0e086e6c94355700d3ad1321f6138543</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajora B., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Bangalore, India; Yogish D., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Bangalore, India; Elappila M., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rajprasad, J.; Arunvivek, G.K.; Kumar, Pramod; Santhosh, Govindaraju; Gogineni, Abhilash; Sembeta, Regasa Yadeta Title A name given to the resource Interface improvement and multiscale assessment of recycled concrete aggregates with epoxy resin polymer Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Scientific Reports;Volume;16;Issue;1;Article No.;3697; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-025-33852-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-025-33852-4</a> <a href="https://www.scopus.com/pages/publications/105028868208?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028868208?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajprasad J., Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India; Arunvivek G.K., Department of Civil Engineering, Mohan Babu University, Tirupati, 517102, India; Kumar P., Department of Civil Engineering, Graphic Era (Deemed to Be University), Uttarakhand, Dehradun, India; Santhosh G., Department of Sciences and Humanities, Christ University, Karnataka, Bengaluru, India; Gogineni A., Department of Climate Change, Indian Institute of Science, Karnataka, Bengaluru, 560012, India; Sembeta R.Y., Department of Civil Engineering, College of Engineering and Technology, Mattu University, Metu, 318, Ethiopia Description An account of the resource Recycled concrete aggregate (RCA) exhibits challenges like weak bonding, high porosity, and inferior strength compared to natural aggregates. This study evaluates the effect of epoxy resin polymer treatment on RCA on enhancing compressive and split tensile strengths in concrete, replacing natural aggregates with untreated RCA (UTRAC) and treated RCA (ERTAC) at 25%, 50%, 75%, and 100% levels. The tests were conducted at 3, 7, and 28 days. UTRAC showed reductions of up to 26.32% in compressive strength and 35.38% in tensile strength at 100% replacement; ERTAC outperformed control concrete (CC) with gains of up to 26.32% in compressive strength (at 25%) and 122.73% in tensile strength (at 100%), identifying 25% as the optimum replacement ratio. SEM and XRD analyses confirmed improved particle packing, reduced porosity, and stronger interfacial transition zones (ITZ) in ERTAC. The Author(s) 2026. Subject The topic of the resource Epoxy resin polymer; Mechanical properties; Micro-structural analysis; Recycled aggregate Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 20452322; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rajpurohit, Tanushree; Patavardhan, Roopa Title A name given to the resource Female Political Representation and Economic Development in India: An Empirical Analysis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Gender, Power, and Economic Inequality in the Global South: An Intersectional Approach;pp.97-113 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003587309-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003587309-10</a> <a href="https://www.scopus.com/pages/publications/105028351730?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028351730?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajpurohit T.; Patavardhan R., School of Social Sciences, Christ University, Bangalore, India Description An account of the resource Recent years have seen an enhanced focus on women's roles in politics, with research increasingly showing that having a more significant gender representation in decision-making roles can significantly impact economic growth. This chapter delves into how women's political involvement, economic advancement, and gender equality have evolved in India over twenty years from 2000 to 2020, using a time series analysis. The study uses vector autoregression (VAR) analysis to examine how political representation of female, participation rate of labour force (LFPR), and health investment affect the Gender Development Index (GDI). The model diagnostics successfully demonstrated stationarity, non-serial correlation, and the lack of homoscedasticity. The analysis highlights that Female LFPR and GDI are positively related, whereas health expenditure and GDI are negative. Female labour market participation improves GDI, whereas females consistently receive less healthcare expenditure than males, leading to a negative relationship between health expenditure and GDI. Importantly, it is observed that labour market participation has a more substantial effect on GDI than political representation or health investments. This shows that greater female labour force participation is more critical in gender equality than increased political representation or healthcare spending. Highlighting the necessity for policies tailored to women, the chapter argues that these measures are critical for enhancing LFPR and boosting GDI and societal progress. The chapter contributes to the gender discourses in political participation and the empowerment of female, proposing a strategy to improve women's contribution to the labour market, leading higher GDI and, as a result, a more equitable society. 2026 selection and editorial matter, Hebatallah Adam and Abul Hasnat Monjurul Kabir; individual chapters, the contributors. All rights reserved. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104055001-4; 978-103295949-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Investigation of the correlation between optical and ?-ray flux variations in the blazar Ton 599 Subject The topic of the resource galaxies: Active; galaxies: jets; galaxies: nuclei; gamma-rays: galaxies Description An account of the resource The correlation between optical and ?-ray flux variations in blazars reveals a complex behaviour. In this study, we present our analysis of the connection between changes in optical and ?-ray emissions in the blazar Ton 599 over a span of approximately 15 yr, from 2008 August to 2023 March. Ton 599 reached its highest flux state across the entire electromagnetic spectrum during the second week of 2023 January. To investigate the connection between changes in optical and ?-ray flux, we have designated five specific time periods, labelled as epochs A, B, C, D, and E. During periods B, C, D, and E, the source exhibited optical flares, while it was in its quiescent state during period A. The ?-ray counterparts to these optical flares are present during periods B, C, and E; however, during period D, the ?-ray counterpart is either weak or absent. We conducted a broad-band spectral energy distribution (SED) fitting by employing a one-zone leptonic emission model for these epochs. The SED analysis unveiled that the optical-ultraviolet emission primarily emanated from the accretion disc in quiescent period A, whereas synchrotron radiation from the jet dominated during periods B, C, D, and E. Diverse correlated patterns in the variations of optical and ?-ray emissions, like correlated optical and ?-ray flares, could be accounted for by changes in factors such as the magnetic field, bulk Lorentz factor, and electron density. On the other hand, an orphan optical flare could result from increased magnetic field and bulk Lorentz factor. 2023 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. Creator An entity primarily responsible for making the resource Rajput B.; Mandal A.K.; Pandey A.; Stalin C.S.; Max-Moerbeck W.; Mathew B. Source A related resource from which the described resource is derived Monthly Notices of the Royal Astronomical Society, Vol-527, No. 4, pp. 11900-11914. Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/mnras/stad4003" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/mnras/stad4003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182255773&doi=10.1093%2Fmnras%2Fstad4003&partnerID=40&md5=6c16e3ed53764a09f8217f6de50dff45" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182255773&doi=10.1093%2fmnras%2fstad4003&partnerID=40&md5=6c16e3ed53764a09f8217f6de50dff45</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 358711; CODEN: MNRAA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput B., Departamento de Astronomi Universidad de Chile, Camino El Observatorio 1515, Las Condes, Santiago, 7570840, Chile, Department of Physics, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560029, India; Mandal A.K., Astronomy Program, Department of Physics and Astronomy, Seoul National University, Seoul, 151-742, South Korea; Pandey A., Center for Theoretical Physics, Polish Academy of Sciences, Al. Lotnik 32/46, Warsaw, PL-02-668, Poland; Stalin C.S., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India; Max-Moerbeck W., Departamento de Astronomi Universidad de Chile, Camino El Observatorio 1515, Las Condes, Santiago, 7570840, Chile; Mathew B., Department of Physics, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Study of correlation between optical flux and polarization variations in BL Lac objects Subject The topic of the resource BL Lacertae objects: general; galaxies: active; galaxies: jets; ?-rays: galaxies Description An account of the resource Polarized radiation from blazars is one key piece of evidence for synchrotron radiation at low energy, which also shows variations. We present here our results on the correlation analysis between optical flux and polarization degree (PD) variations in a sample of 11 BL Lac objects using ?10 yr of data from the Steward Observatory. We carried out the analysis on long-term (?several months) as well as on short-term time-scales (?several days). On long-term time-scales, for about 85 per cent of the observing cycles, we found no correlation between optical flux and PD. On short-term time-scales, we found a total of 58 epochs with a significant correlation between optical flux and PD, where both positive and negative correlation were observed. In addition, we also found a significant correlation between optical flux and ?-ray flux variations on long-term time-scales in 11 per cent of the observing cycles. The observed PD variations in our study cannot be explained by changes in the power-law spectral index of the relativistic electrons in the jets. The shock-in-jet scenario is favoured for the correlation between optical flux and PD, whereas the anticorrelation can be explained by the presence of multizone emission regions. The varying correlated behaviour can also be explained by the enhanced optical flux caused by the newly developed radio knots in the jets and their magnetic field alignment with the large-scale jet magnetic field. 2022 The Author(s). Creator An entity primarily responsible for making the resource Rajput B.; Pandey A.; Stalin C.S.; Mathew B. Source A related resource from which the described resource is derived Monthly Notices of the Royal Astronomical Society, Vol-517, No. 3, pp. 3236-3256. Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/mnras/stac2619" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/mnras/stac2619</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145262605&doi=10.1093%2Fmnras%2Fstac2619&partnerID=40&md5=a8a079c64e8be2336b1fc9fc998e26a2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145262605&doi=10.1093%2fmnras%2fstac2619&partnerID=40&md5=a8a079c64e8be2336b1fc9fc998e26a2</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 358711; CODEN: MNRAA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput B., Department of Physics, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560 029, India, Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India; Pandey A., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India; Stalin C.S., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India; Mathew B., Department of Physics, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560 029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Temporal correlation between the optical and ? -ray flux variations in the blazar 3C 454.3 Subject The topic of the resource galaxies: active; galaxies: jets; galaxies: nuclei; gamma-rays: galaxies; quasars: individual: 3C 454.3; X-rays: galaxies. Description An account of the resource Blazars show optical and ? -ray flux variations that are generally correlated, although there are exceptions. Here we present anomalous behaviour seen in the blazar 3C 454.3 based on an analysis of quasi-simultaneous data at optical, ultraviolet, X-ray, and ? -ray energies, spanning about 9 yr from 2008 August to 2017 February.We have identified four time intervals (epochs), A, B, D, and E, when the source showed large-amplitude optical flares. In epochs A and B the optical and ? -ray flares are correlated, while in D and E corresponding flares in ? -rays are weak or absent. In epoch B the degree of optical polarization strongly correlates with changes in optical flux during a short-duration optical flare superimposed on one of long duration. In epoch E the optical flux and degree of polarization are anticorrelated during both the rising and declining phases of the optical flare. We carried out broad-band spectral energy distribution (SED) modelling of the source for the flaring epochs A,B, D, and E, and a quiescent epoch, C. Our SED modelling indicates that optical flares with absent or weak corresponding ? -ray flares in epochs D and E could arise from changes in a combination of parameters, such as the bulk Lorentz factor, magnetic field, and electron energy density, or be due to changes in the location of the ? -ray-emitting regions. 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. Creator An entity primarily responsible for making the resource Rajput B.; Stalin C.S.; Sahayanathan S.; Rakshit S.; Mandal A.K. Source A related resource from which the described resource is derived Monthly Notices of the Royal Astronomical Society, Vol-486, No. 2, pp. 1781-1795. Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/mnras/stz941" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/mnras/stz941</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067992903&doi=10.1093%2Fmnras%2Fstz941&partnerID=40&md5=334a4e011546f49bf92eb75cab59d862" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067992903&doi=10.1093%2fmnras%2fstz941&partnerID=40&md5=334a4e011546f49bf92eb75cab59d862</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 358711; CODEN: MNRAA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput B., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India; Stalin C.S., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India; Sahayanathan S., Astrophysical Sciences Division, Bhabha Atomic Research Centre, Mumbai, 400085, India; Rakshit S., Finnish Centre for Astronomy with ESO (FINCA), University of Turku, Quantum, Vesilinnantie 5, Turku, FI-20014, Finland, Astrophysical-Sciences-Division, Bhabha Atomic Research-Centre, Mumbai, 400085, India; Mandal A.K., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India, Department of Physics, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimized deep maxout for breast cancer detection: consideration of pre-treatment and in-treatment aspect Subject The topic of the resource CT images; Fuzzy filter; Hierarchical DBSCAN (density-based clustering algorithm); Shark optimized deep Maxout neural network; Smell indulged shuffled shepherd optimization (SSISSO) Description An account of the resource Breast cancer is one of the deadliest diseases, accounting for the second-highest rate of cancer mortality among females. Breast tissue begins to develop cancerous, malignant lumps as the disease progresses. Self-examinations and routine clinical checks aid in early diagnosis, which considerably increases the likelihood of survival. Because of this, we have created a revolutionary method for finding breast cancer that has the following four steps. Fuzzy filters are used in the initial pre-processing stage to reduce noise and improve outcomes from the incoming data. In the second stage, we have presented an Improved Hierarchical DBSCAN (Density-based clustering algorithm) for the segmentation of anomalous areas. Feature extraction will be carried out following segmentation. We have also developed a better kurtosis-based feature to complement traditional statistical and shape-based features and deliver better results. The Optimized Deep Maxout Neural Network is used for classification in the final step, with the suggested Shark Smell Indulged Shuffled Shepherd Optimization used to optimize the weight parameter (SSISSO). At 90% the learning percentage of the proposed model SSISSO model has achieved 0.984391 accuracy, which is superior to 22.54%, 28.46%, 17.44%, 17%, 15.04%, 13.28%, 29.45%, 28.59%, 21.58%, and 30.72% as compared to other methods like SVM-BS1, CNN-BS7, LSTM, NN, Bi-GRU, RNN, ARCHO, AOA, HGS, CMBO, SSOA, and SSO. Finally, the results of the proposed breast cancer detection technique are compared with conventional techniques. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Creator An entity primarily responsible for making the resource Rajput D.; Bejoy B.J. Source A related resource from which the described resource is derived Multimedia Tools and Applications, Vol-83, No. 10, pp. 31017-31047. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11042-023-16505-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-023-16505-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171287675&doi=10.1007%2Fs11042-023-16505-4&partnerID=40&md5=6f342ff1b2febc31a687f467770366a7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171287675&doi=10.1007%2fs11042-023-16505-4&partnerID=40&md5=6f342ff1b2febc31a687f467770366a7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13807501; CODEN: MTAPF Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Bejoy B.J., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource State-of-art Techniques for Classification of Breast Cancer: A Review Subject The topic of the resource Breast Cancer; Classification; Deep Learning (DL); Machine Learning (ML); Mammogram; Neural Network (NN) Description An account of the resource Cancer is an unexpected and unclear disease that puts many people at risk. Breast cancer has surpassed prostate cancer as the most common cancer in women, as well as the main cause of cancer-related mortality in women. Breast cancer rates have been rising in India for several years, with 100,000 new cases recorded each year. In India, there are up to one million breast cancer patients at any given moment. The survival rate of breast cancer has increased in recent years as a result of advances in technology, effective treatment, and medical care delivery. It extends the lives of the sufferers and improves their quality of life. Breast cancer can be detected using a variety of imaging methods. Radiologists can utilize a computer-aided diagnostic technique to discover and diagnose irregularities earlier and more quickly. Many Computer-Aided Diagnosis methods have been developed to identify breast cancer in its early stages using mammography images. The computer aided diagnostics systems mostly focus on identifying and detecting breast nodules. Staging breast cancer at its detection needs to be focused on, as the treatment is based on the stage of cancer. As a result, this study focuses on producing evaluations on computer aided diagnostics approaches for segmenting nodules and identifying different stages of breast cancer, thereby assisting radiologists in assessing the illness. 2022 IEEE. Creator An entity primarily responsible for making the resource Rajput D.; Bejoy B.J. Source A related resource from which the described resource is derived Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, pp. 433-437. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IC3I56241.2022.10073435" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3I56241.2022.10073435</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152000610&doi=10.1109%2FIC3I56241.2022.10073435&partnerID=40&md5=aa958d86e900d9e5f4ec1922018f51b4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152000610&doi=10.1109%2fIC3I56241.2022.10073435&partnerID=40&md5=aa958d86e900d9e5f4ec1922018f51b4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039826-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput D., CHRIST (Deemed to Be University), Department of CSE, Bengaluru, India; Bejoy B.J., CHRIST (Deemed to Be University), Department of CSE, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using machine learning architecture to optimize and model the treatment process for saline water level analysis Subject The topic of the resource machine learning; saline water; water level data analysis; water saline particle; water treatment plants Description An account of the resource Water is a vital resource that makes it possible for human life forms to exist. The need for freshwater consumption has significantly increased in recent years. Seawater treatment facilities are less dependable and efficient. Deep learning systems have the potential to increase the efficiency as well as the accuracy of salt particle analysis in saltwater, which will benefit water treatment plant performance. This research proposed a novel method for optimization and modelling of the treatment process for saline water based on water level data analysis using machine learning (ML) techniques. Here, the optimization and modelling are carried out using molecular separation-based reverse osmosis Bayesian optimization. Then the modelled water saline particle analysis has been carried out using back propagation with Kernelized support swarm machine. Experimental analysis is carried out based on water salinity data in terms of accuracy, precision, recall, and specificity, computational cost, and Kappa coefficient. The proposed technique attained an accuracy of 92%, precision of 83%, recall of 78%, specificity of 81%, computational cost of 59%, and Kappa coefficient of 78%. 2023, IWA Publishing. All rights reserved. Creator An entity primarily responsible for making the resource Rajput S.P.S.; Webber J.L.; Bostani A.; Mehbodniya A.; Arumugam M.; Nanjundan P.; Wendimagegen A. Source A related resource from which the described resource is derived Water Reuse, Vol-13, No. 1, pp. 51-67. Publisher An entity responsible for making the resource available IWA Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2166/wrd.2022.069" target="_blank" rel="noreferrer noopener">https://doi.org/10.2166/wrd.2022.069</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153201481&doi=10.2166%2Fwrd.2022.069&partnerID=40&md5=46d67b909d8db382ba4c8085ab1813ec" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153201481&doi=10.2166%2fwrd.2022.069&partnerID=40&md5=46d67b909d8db382ba4c8085ab1813ec</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 27096092 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput S.P.S., Department of Civil Engineering, Maulana Azad National Institute of Technology, MP, Bhopal, India; Webber J.L., Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), 7th Ring Road, Doha Area, Kuwait; Bostani A., College of Engineering and Applied Sciences, American University of Kuwait, Salmiya, Kuwait; Mehbodniya A., Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), 7th Ring Road, Doha Area, Kuwait; Arumugam M., Center for Transdisciplinary Research, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Chennai, India; Nanjundan P., Department of Data Science, Christ University, Lavasa, Maharashtra, Pune, India; Wendimagegen A., College of Natural and Computational Science, Debre Berhan University, Debre Birha, Ethiopia Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rajput, Devesh; Jindal, Aashima Title A name given to the resource Sustainable Finance and Investor Dynamics in Emerging Markets Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Regulation and Innovation in Financial Markets;pp.231-262 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1404-4.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1404-4.ch009</a> <a href="https://www.scopus.com/pages/publications/105023354110?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023354110?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput D., Christ University, India; Jindal A., Christ University, India Description An account of the resource This chapter examines the role of sustainable finance in emerging markets, focusing on the integration of Environmental, Social, and Governance (ESG) principles to promote economic growth and social impact. It discusses how ESG investments address challenges like poverty, financial inclusion, and climate change, while exploring factors influencing investor behavior and barriers such as data transparency and greenwashing. The chapter compares ESG adoption in developed and developing economies, highlights sector-specific trends, and emphasizes the importance of public-private partnerships and multilateral collaborations. It also explores sustainable finance's potential for social innovation, supporting gender equality, inclusive development, and green technologies, and advocates for improved transparency and impact measurement to build investor confidence. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731406-8; 979-833731404-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Demography-Based Hybrid Recommender System for Movie Recommendations Subject The topic of the resource Cold start; Collaborative filtering; Content filtering; Demography filtering; SVDpp Description An account of the resource Recommender systems have been explored with different research techniques including content-based filtering and collaborative filtering. The main issue is with the cold start problem of how recommendations have to be suggested to a new user in the platform. There is a need for a system which has the ability to recommend items similar to the users demographic category by considering the collaborative interactions of similar categories of users. The proposed hybrid model solves the cold start problem using collaborative, demography, and content-based approaches. The base algorithm for the hybrid model SVDpp produced a root mean squared error (RMSE) of 0.92 on the test data. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Raju B.K.; Ummesalma M. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-840, pp. 49-58. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9012-9_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9012-9_5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128613560&doi=10.1007%2F978-981-16-9012-9_5&partnerID=40&md5=4ffd38778a771f14158bd2c8acacd2fe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128613560&doi=10.1007%2f978-981-16-9012-9_5&partnerID=40&md5=4ffd38778a771f14158bd2c8acacd2fe</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981169011-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raju B.K., Computer Science Department, Christ Deemed to be University, Bengaluru, Karnataka, India; Ummesalma M., Computer Science Department, Christ Deemed to be University, Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cross diffusion effects on magnetohydrodynamic slip flow of Carreau liquid over a slendering sheet with non-uniform heat source/sink Subject The topic of the resource Carreau fluid; Cross diffusion; Non-uniform heat source/sink; Slendering surface; Slip parameters Description An account of the resource Magnetohydrodynamic flow of Carreau fluid over a slendering sheet (variable thickness) has been numerically studied by considering the multiple slips effect. Thermosolutal boundary layer analysis is also accounted in the presence of cross diffusion and non-uniform heat source/sink. The governing nonlinear coupled partial differential equations are transformed to nonlinear coupled ordinary differential equations before being integrated numerically using RungeKutta based Newtons schemes. The effects of various parameters involved in the present problem were elaborately discussed with help of graphs and tables. The present results in a limiting sense are found to accord with the previous study. The present results indicate that the cross diffusion and slip parameters had a tendency to control the flow. The influence of slip is more evident in Carreau fluid case on contrast with the Newtonian fluid case. 2018, The Brazilian Society of Mechanical Sciences and Engineering. Creator An entity primarily responsible for making the resource Raju C.S.K.; Hoque M.M.; Priyadharshini P.; Mahanthesh B.; Gireesha B.J. Source A related resource from which the described resource is derived Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol-40, No. 4 Publisher An entity responsible for making the resource available Springer Verlag Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s40430-018-1142-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40430-018-1142-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044830713&doi=10.1007%2Fs40430-018-1142-4&partnerID=40&md5=6a87dd3cd585803aa63405e5d289dd16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044830713&doi=10.1007%2fs40430-018-1142-4&partnerID=40&md5=6a87dd3cd585803aa63405e5d289dd16</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 16785878 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raju C.S.K., Department of Mathematics, GITAM School of Technology, Bangalore, 562163, India; Hoque M.M., Department of Chemical Engineering, The University of Newcastle, Callaghan, Australia; Priyadharshini P., Department of Mathematics, Bharatiar University, Coimbatore, India; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India, Department of Studies and Research in Mathematics, Kuvempu University, Shankarghatta, Shimoga, 577451, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankarghatta, Shimoga, 577451, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advanced Machine Learning Techniques for Detecting Irregularities in Skin Lesion Borders: Enhancing Early Skin Cancer Detection Subject The topic of the resource arc-based features; dermatogram analysis; ensemble learning; feature extraction; Skin cancer detection Description An account of the resource Dermatograms are pivotal in the early detection of skin cancer, a disease with significant mortality rates. This paper introduces a novel feature extraction method that captures irregularities in the boundaries of abnormal skin regions. Each raw dermatogram is converted into a binary mask image using an effective segmentation algorithm. The boundary of the lesion region is extracted from the mask. The boundary, together with the centroid of the lesion mask, is used to define a set of directional vectors. An Arc is defined using these directional vectors, and a new Arc feature is calculated based on the number of times the lesion boundary crosses the arc. The proposed Arc feature is evaluated using three standard skin lesion datasets: ISBI 2016, HAM10000, and PH2. Additionally, color features and Local Binary Pattern (LBP) features are implemented for comparison. Classical machine learning algorithms are employed to evaluate these features. Results indicate that for the ISBI 2016 and HAM10000 datasets, the Arc feature set demonstrates superior classification accuracy. In contrast, the PH2 dataset benefits more from the LBP feature. Comparative analysis with recent studies highlights the dependency of accuracy on datasets and classifiers, underscoring the necessity for models incorporating feature fusion and ensemble classifiers. The proposed method outperforms traditional color and texture features and shows competitive results against deep learning models, particularly in scenarios with limited computational resources. These findings suggest that the Arc feature is a promising approach for improving skin cancer detection, although further investigation is needed to fine-Tune performance, optimize classifier selection, and explore feature fusion strategies. 2024 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Raju G.; Nikesh P.; Resmi K.R.; Swain D.; Acharya B.; Gerogiannis V.C.; Kanavos A. Source A related resource from which the described resource is derived International Journal on Artificial Intelligence Tools Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S0218213024500246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0218213024500246</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210081548&doi=10.1142%2FS0218213024500246&partnerID=40&md5=300b51cec3d14f05b8837663f3f8a20f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210081548&doi=10.1142%2fS0218213024500246&partnerID=40&md5=300b51cec3d14f05b8837663f3f8a20f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2182130 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raju G., Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, India; Nikesh P., Department of Computer Science and Engineering, Government Engineering College, Wayanad, Kerala, India; Resmi K.R., Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, India; Swain D., Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India; Acharya B., Department of Computer Engineering-AI, Marwadi University, Gujarat, Rajkot, India; Gerogiannis V.C., Department of Digital Systems, University of Thessaly, Larissa, Greece; Kanavos A., Department of Informatics, Ionian University, Corfu, Greece Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Determinants of Banks' Profitability: An Empirical Study on Select Indian Public and Private Sector Banks Description An account of the resource In this study the determinants of banking profitability has been studied based on the secondary data. The entire study is classified into two parts (i) Public Sector Banks and (ii) Private Sector Banks. Various variables such as NPA, Operating Profit, Credit Size, ROA, Operating Expense, Total Income, Capital etc. and their interrelationship is studied through correlation coefficients, regression analysis, anova etc. The research observes that a large number of independent factors are responsible in determining banking profitability and that in those determinants some create a significant effect on profitability but some factors do not create any significant effect. It is observed that though macroeconomic variables are not so important to determine the profitability of a bank but the GDP growth rate creates a significant effect on determining the profitability of a bank. According to the study based on facts and figures collected, private sector banks performance is better than public sector banks. Indian Institute of Finance. Creator An entity primarily responsible for making the resource Raju M. Source A related resource from which the described resource is derived Finance India, Vol-35, No. 2, pp. 467-479. Publisher An entity responsible for making the resource available Indian Institute of Finance Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131519452&partnerID=40&md5=58ecf91899b09919a032f2fb8c88bfc6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131519452&partnerID=40&md5=58ecf91899b09919a032f2fb8c88bfc6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9703772 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raju M., Christ University, Department of Management Studies, Hosur Road, Bhavani Nagar, Suddagunte Palya Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of macroeconomic variables on the stock performance of select companies in manufacturing industry Subject The topic of the resource Economic value added; Financial performance; Firm value; Market value added; Shareholders value; Strategic investment Description An account of the resource The efficient functioning of a stock market is influenced by different macro economic factors like Inflation, Interest rates, exchange rate etc. The favourable Macro Economic Variables both domestic economy and global economy inspire the organisations to go for strategic investment activities in domestic and global markets and reflect positively on the company financial performance and firms fundamentals like Revenues, Operating margins, Earnings Per Share, the Economic Value , Market value, and the Firms overall Value. These positive indicators in the fundamentals of the firms send positive signals into stock markets and generate positive perceptions about the company's stock prices in the market. Markets become so attractive to domestic and foreign investors which drive the share price of different companies , specially Blue chips upwards and creates value to the shareholders .According to the study organized the impact of macro economic variables is not uniform and the impact varies betweem various macro economic variables on the stock market performance. Serials Publications Pvt. Ltd. Creator An entity primarily responsible for making the resource Raju M.A. Source A related resource from which the described resource is derived International Journal of Economic Research, Vol-14, No. 8, pp. 321-328. Publisher An entity responsible for making the resource available Serials Publications Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026365001&partnerID=40&md5=2400239b14e3fc1fa5a1abb90b5b9c91" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026365001&partnerID=40&md5=2400239b14e3fc1fa5a1abb90b5b9c91</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9729380 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raju M.A., Department of Management Studies, Christ University, India