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Mapping location and identity in the works of indian english novelists:
This thesis examines the context of location in relation to constructs of identity in Salman Rushdie s MC, Vikram Seth s ASB and Amitav Ghosh s TSL. It is contended that articulation of selfhood is achieved through its interaction with narrative constructions of space and these depictions serve to map representations of nation. Writers migrant experiences are shown to have a bearing on the aesthetics and geopolitics of these representations. Even though these texts challenge the reductive processes of homogenization at work in the formation of nationalcultural identities, it is contended that they foreground transnational lifestyles and identities.Some of the questions that the thesis asks are: Does the cultural-geographical location of the writer shape the aesthetics of the work? If so, to what extent? In what ways does the diasporic newlineexperience influence the (re)presentation of mediated and inter-connected spaces? How is a newlinecharacter, who does not share the author s diasporic location and experience, depicted? Do the works cater to a Western readership by presenting a palatable version that is only purportedly transnational? Or, are the writers lapsing into a master narrative of universalism? newlineThe creative paradigm allows for the unfolding of the enigma of identity by the interplay of the questions surrounding place - Where am I and what is my place in the world, which reveals who I am. There are real geographies of social action, as well as metaphorical spaces and sites of power that have to be understood in their own right and in the context of shared loci that come together to construct identity. Thus, a comparative study of the novels is conducted on various registers such as dynamics of space, negotiation of borders and boundaries, delineation of multiple identities and representation of nation via language and history. The thesis argues for newlineaesthetic negotiation of borders across locations that maybe geographic and psychic; in order to grapple with and empower subjectivities. -
Mapping of built-up area and change detection in bengaluru using semi-automatic classification
Built-up areas are ever-increasing in nature to cater to the growing population's needs due to the migration of people to urban areas. Indian cities are under stress due to unplanned developmental activities. Land use and the land cover pattern are critical to maintaining the balance of various resources. In this study, Spatio-temporal changes have been mapped from 1989 to 2022 for the Bengaluru urban region. Geospatial techniques have been adopted to map land use, land cover changes and urban growth. Passive remote sensing data sets, which are freely available, were used in this study. QGIS and ESRI's ArcGIS software packages analysed the satellite images. Vegetation indices such as the Normalised vegetation index (NDVI), Normalised Difference Water index (NDWI), and Normalised difference Built-up index (NDBI) have been used along with supervised and unsupervised classification techniques. Images were classified into water bodies, vegetation, built-up area and others. It has been observed that there is an increase in the built-up area decrease in vegetation and water bodies. As per this study, policymakers and society need to consider the conservation of natural resources and developmental activities for sustainable development. 2023 Author(s). -
Mapping of groundwater availability in dry areas of rural and urban regions in India using IOT assisted deep learning classification model
Groundwater is a crucial resource for fulfilling the water requirements of India's rural and urban areas. The heterogeneous nature of geological, hydrological, and climatic factors results in substantial variability in the accessibility of groundwater across disparate regions. The present investigation centers on the cartography of groundwater accessibility in arid zones of rural and urban Indian areas using a Deep Learning Classification Model (DL-GWCM) supported by the Internet of Things (IoT). The introductory section underscores the importance of groundwater in India, where groundwater sources cater to around 80% of rural and 50% of urban water demands. The text highlights statistical data derived from surveys that indicate a notable decrease in groundwater levels. This underscores the pressing necessity for implementing effective monitoring and management strategies. The DL-GWCM is a proposed solution that aims to enhance the precision and effectiveness of groundwater availability mapping by incorporating IoT technology and Deep Learning Classification. The DL-GWCM comprises multiple constituent elements, such as Groundwater Prediction, Water Quality Index, and Conventional Neural Network- Bidirectional Long Short-Term Memory (CNNBi LSTM) classification. The process of Groundwater Prediction involves the utilization of past data and environmental factors to make precise forecasts of groundwater levels. The Water Quality Index evaluates the quality of subsurface water resources, guaranteeing their secure and enduring utilization. The Deep Learning Classification Model with IoT technology was implemented for groundwater accessibility mapping in Indian arid zones. It integrates Groundwater Prediction, Water Quality Index, and CNNBi LSTM classification. The model makes precise forecasts using past data and environmental factors, ensuring secure water quality. Using the CNNBi LSTM classification model improves the precision of groundwater availability mapping due to its resilient classification capabilities. These findings suggest that the DL-GWCM outperforms conventional approaches. The mean values of all five metrics for the proposed method are presented as follows: The performance metrics of the model are as follows: Root Mean Square Error (RMSE) of 0.77%, Mean Absolute Error (MAE) of 2.13%, Relative Absolute Error (RAE) of 8.72%, Root Relative Squared Error (RRSE) of 0.92%, and Correlation Coefficient (CC) of 0.92. The results of the proposed methodology facilitate the discernment of regions with abundant or scarce groundwater accessibility, thereby supporting the sustainable management and planning of groundwater resources. 2024 Elsevier B.V. -
Mapping Road Traffic Injury in India: Causes, Prevention, Economic Impact, and Role of Public Health Governance
Road Traffic Injuries (RTIs) represent the main reason for fatalities globally and are acknowledged as a significant national health problem. RTIs affect the victims and also have a profound impact on the family and relations. The socio-economic conditions of families, and consequently society and the nation, are negatively influenced by these incidents. A significant number of deaths on the roads involve cyclists, motorcyclists, and pedestrians. The prevalence of RTIs is particularly high in African and other middle-income countries, while developed nations experience comparatively fewer incidents. Each year, RTIs result in approximately 1.2 million deaths worldwide (WHO, 2018), marking them as a primary, preventable cause of mortality. Global attention has shifted towards the critical need for road safety, particularly with the endorsement of the 2030 Agenda for Sustainable Development Goals (SDGs). Implementing robust legal enforcement could lead to behavioural changes among road users. India ranks among the highest in the world for road accident-related fatalities. Ad-hering to safety measures such as using helmets, wearing seat belts, maintaining appropriate speeds, and following traffic regulations would significantly reduce Road Traffic Injuries. Stakeholders in road safety must be made aware of the economic costs, Disability Adjusted Life Year (DALY), and human losses associated with RTIs and their repercussions. This paper aims to outline the existing RTI situation, its causes, preventive strategies, magnitude of economic burden, costs involved in RTI, catastrophic health expenditure, Return on Investment (RoI) in Trauma Care Systems, Financing mechanisms, Governance, and the Health sector's role in addressing RTIs. The findings indicate that road accidents are the predominant reason for mortality in India (with many incidents being underreported or undocumented), and the state must take a proactive approach to tackle this issue by fostering strong connections among various stakeholders, while the health sector should implement a multifaceted strategy to manage RTIs. Authors. -
Mapping the AI landscape in healthcare quality: A bibliometrics analysis
This study explores the application of Artificial Intelligence (AI) in healthcare quality improvement through a bibliometric analysis of 222 documents retrieved from the Scopus database using the keywords "healthcare," "quality," and "AI." By examining bibliographic coupling, citations, co-citations, author keywords, and co-occurrence networks, the research unveils the key themes, prominent authors, and emerging trends in this field. The analysis reveals a focus on areas like machine learning for disease prediction, clinical decision support systems, and patient safety improvement. Leading authors and research groups are identified, and promising future directions such as explainable AI and integration with electronic health records are highlighted. This study contributes to understanding the current landscape of AI in healthcare quality improvement and guiding future research for maximizing its impact. 2024, IGI Global. All rights reserved. -
Mapping the Field of Research; Computational Intelligence and Innovation
This paper measures and maps the past studies in the field of Computational Intelligence and Innovation and further understand the application of Computational Intelligence in the field of study of innovation related to businesses. The bibliometric analysis shows the associations of various sub themes of research that was done between the period 2000 to Aug 2022. Scopus database is used to collect relevant documents of the field of study where 115 documents are sourced. The descriptive nature of the field of studies is analyzed in detail and further using VOS Viewer, the network analysis study is conducted to understand the association of authors, author country publication, themes and publication pattern, in detail. Further, an in-depth review analysis is done to understand the application of Computational Intelligence in the fields of Business Management and Social Science with aids innovation in the respective fields. Recent studies focus on machine learning, neural network, digital transformation, internet of things and other upcoming areas. The growth in these sub themes exhibit the multidisciplinary research happening in this field. This is paving way for future researchers to use the already found computing intelligence techniques to varied subject areas like medicine, management, economics etc., to foster innovation. 2022 IEEE. -
Mapping the Landscape of Business Intelligence Research: A Bibliometric Approach
The integration of Business Intelligence (BI) is an essential element in contemporary enterprises, facilitating the conversion of voluminous data into valuable insights to support informed decision-making. Consequently, a considerable body of literature has been devoted to investigating the utilization of Business Intelligence (BI) in enhancing company efficiency and competitiveness. The present investigation employs bibliometric methods as a means to examine the research pertaining to Business Intelligence (BI). This includes an examination of the main writers and universities, publication patterns, and the intellectual framework of the domain. This investigation centers on the timeframe spanning from 2000 to 2022 and scrutinizes a corpus of 3729 Scopus articles pertaining to business intelligence. The findings suggest that the domain of Business Intelligence (BI) has experienced a substantial expansion recently. The study's results reveal significant contributors, establishments, nations, and references in the discipline, along with developing research patterns and prospects for further investigation. In general, this research emphasizes the significance of bibliometric evaluation as a means of comprehending the present status of BI research and discovering approaches to enhance the utilization of BI in contemporary organizational decision-making procedures. This study has the potential to provide valuable insights into the present state of research within the field, pinpoint significant trends and themes, and highlight potential avenues for future research. 2023 IEEE. -
Mapping the Landscape of Financial Mindfulness Research: A Bibliometric Study
Financial mindfulness is an emerging concept in personal finance that promotes a transformative mindset to encourage rational decision-making and mitigate emotional biases. This study explores the evolution of research on financial mindfulness through a systematic literature review and bibliometric analysis of 58 relevant articles. The bibliometric analysis reveals the developmental trajectory of this literature, identifying notable authors, journals, countries involved, and international collaborations. Financial mindfulness originated from integrating finance with mindfulness principles, building on earlier concepts like money attitudes and behavioural finance. The study highlights the interdisciplinary nature of financial mindfulness, with significant contributions from finance, economics, and psychology. This research is novel in that it is the first attempt to systematically analyse the literature on financial mindfulness in this comprehensive manner. It establishes a foundational understanding for future researchers in the field, mapping out the existing landscape and highlighting the interdisciplinary collaboration that characterizes this area of study. By charting the developmental path and identifying key contributors and trends, this research sets the stage for continued exploration and a deeper understanding of financial mindfulness. Ultimately, it encourages further interdisciplinary research and practical applications in personal finance management, ensuring that future studies build on a robust framework of existing knowledge. This research not only explores past developments but also provides a clear direction for future inquiries and innovations in the field. 2024, Iquz Galaxy Publisher. All rights reserved. -
Mapping the landscape of tourism cities research: a bibliometric analysis of the International Journal of Tourism Cities
Purpose: This research addresses the pressing need for comprehensive studies in the rapidly evolving field of city tourism. This study aims to understand the overall performance of the International Journal of Tourism Cities (IJTC), the structure of knowledge in city tourism research and the prevalent themes and trends arising from IJTC. Design/methodology/approach: A bibliometric analysis was conducted to scrutinize the publication patterns in IJTC. This involved examining parameters such as the annual count of published articles, the keywords used in them and their respective authors. Findings: The findings reveal that IJTC has a growing and diverse publication output, establishing itself as a reputable and influential publication within urban tourism research. The results reflect various aspects and themes in city tourism research. Research limitations/implications: The study has certain limitations. The data used for analysis was obtained exclusively from the Scopus database. The analysis was conducted using only one software package, Bibliometrix. Other software packages may offer different features for bibliometric analysis. The study relied exclusively on quantitative methods for data analysis. Qualitative methods could have provided more nuanced interpretations of the data. Practical implications: Comparative analyses could be conducted between IJTC and other journals within urban tourism or related disciplines. Such research would yield valuable insights into the current state of the field and aid in identifying areas warranting further investigation. Social implications: The findings from this study can inform the decisions and actions of various stakeholders involved in urban tourism. Practitioners and policymakers can draw from this research to make informed decisions. Existing and emerging authors can identify relevant topics for their research. Readers can access pertinent information for their needs. Originality/value: This study offers a unique contribution by thoroughly comprehending the performance of IJTC between 2015 and 2023. It progresses the existing body of knowledge on city tourism research by examining its current status and future trends. 2023, International Tourism Studies Association. -
Mapping the literature on school bullying in India: A scoping review
School bullying has been identified as a major issue among students throughout the world. With around 260 million school students, the largest student population in the world, it becomes essential to investigate this issue in the Indian context. The present work uses the Arksey and O'Malley (2005) framework for scoping review to examine the nature of research on school bullying in India and identify research gaps to be addressed by future research. The review maps the concepts examined, research approaches used, sample characteristics, data collection methods, researcher characteristics, and nature of publications in relation to bullying. Seven databases - JSTOR, PsycNET, Cochrane Reviews, ERIC, MEDLINE, Web of Science, and Cochrane Central Register for Controlled Trials - were searched for sources containing the terms bullying and India published in English and between the years 2015 and 2022. Thirty-eight sources selected for the review suggest that existing research in India on school bullying is limited compared to the West and yet provides a guiding light to future researchers. The findings from this review highlight research gaps in the existing literature and outline areas for further exploration. 2024 Elsevier Ltd -
MAPPING THE SHIFTS IN HINDI DAILY SOAPS FROM PAST TO PRESENT
The daily soaps that we view every day in our living room reflect how our society works and functions, for few people their day starts and ends with these television shows. What happens in our favorite television serials, also tend to influence the lives we lead, like the way they dress up, the manner in which they socialize; tend to have a huge impact on our behavior and actions. Hindi daily soaps during the late 1990s and early 2000s served the Indian audiences with more of human relationships such as saas bahu dilemmas, parent child understanding that predominantly focused more on family values and ethics, in other words it preached to the Indian viewers how an ideal family is ought to be, showcasing a perfect family setting. In the present context there has been a gradual shift in terms of themes, character portrayal, trends, visualization and effects along with messages that these shows want to convey, such as gay marriages, extra-marital affairs, domestic violence are now becoming the central themes of much popular Hindi daily soaps .This study would map the shift in Hindi daily soaps during the early 2000s to the present day on the basis of- themes, character portrayal, trends, visualizations and effects and the messages that each of these shows convey. -
Marangoni convection flow of cntsal2o3water hybrid nanofluids with variable fluid properties
The current investigation reports the impact of amalgamations of carbon nanotubes and aluminum oxide in boosting the thermochemical properties of water as the base fluid. It is assumed that the viscosity of the base fluid varies with temperature exponentially and temperature varies linearly. The governing equations prevalent in the current problem accompanied by boundary conditions are transformed into a highly nonlinear system of ODEs by means of similarity trans-formations. The numerical result for the obtained mathematical model was acquired by using the bvp4c inbuilt function in MATLAB. The domain effects were analyzed through sketched graphs. It is further observed that the Nusselt number decreases with the rising value of the variable viscosity and the thermal conductivity parameters. 2021 Begell House, Inc. www.begellhouse.com. -
Marangoni convection in Casson liquid flow due to an infinite disk with exponential space dependent heat source and cross-diffusion effects
Present work aims to investigate the features of the exponential space dependent heat source (ESHS) and cross-diffusion effects in Marangoni convective heat mass transfer flow due to an infinite disk. Flow analysis is comprised with magnetohydrodynamics (MHD). The effects of Joule heating, viscous dissipation and solar radiation are also utilized. The thermal and solute field on the disk surface varies in a quadratic manner. The ordinary differential equations have been obtained by utilizing Von Km transformations. The resulting problem under consideration is solved numerically via Runge-Kutta-Fehlberg based shooting scheme. The effects of involved pertinent flow parameters are explored by graphical illustrations. Results point out that the ESHS effect dominates thermal dependent heat source effect on thermal boundary layer growth. The concentration and temperature distributions and their associated layer thicknesses are enhanced by Marangoni effect. 2018 -
Marangoni convection in Casson liquid flow due to an infinite disk with exponential space dependent heat source and cross-diffusion effects /
Reults In Physics, Vol.9, pp. 78-85, ISSN No: 2211-3797. -
Marangoni convection radiative flow of dusty nanoliquid with exponential space dependent heat source
The flow of liquids submerged with nanoparticles is of significance to industrial applications, specifically in nuclear reactors and the cooling of nuclear systems to improve energy efficiency. The application of nanofluids in water-cooled nuclear systems can result in a significant improvement of their economic performance and/or safety margins. Therefore, in this paper, Marangoni thermal convective boundary layer dusty nanoliquid flow across a flat surface in the presence of solar radiation is studied. A two phase dusty liquid model is considered. Unlike classical temperature-dependent heat source effects, an exponential space-dependent heat source aspect is considered. Stretching variables are utilized to transform the prevailing partial differential system into a nonlinear ordinary differential system, which is then solved numerically via the Runge-Kutta-Fehlberg approach coupled with a shooting technique. The roles of physical parameters are focused in momentum and heat transport distributions. Graphical illustrations are also used to consider local and average Nusselt numbers. We examined the results under both linear and quadratic variation of the surface temperature. Our simulations established that the impact of Marangoni flow is useful for an enhancement of the heat transfer rate. 2017 -
Marangoni convective MHD flow of SWCNT and MWCNT nanoliquids due to a disk with solar radiation and irregular heat source
Present study addresses the Marangoni transport of dissipating SWCNT and MWCNT nanofluids under the influence of magnetic force and radiation. A novel exponential space dependent heat source is considered. The flow is generated due to a disk with surface tension created by thermal gradient. The partial differential equations system governing the flow of carbon-water nanoliquids and heat transfer through Marangoni convection is established. Subsequent system is reduced to nonlinear ordinary boundary value problem via generalized Karman transformations. Numerical solutions are developed of the arising nonlinear problem via Runge-Kutta based shooting approach. Impacts of embedded parameters are focused on Nusselt number, velocity and heat transport distributions through graphical illustrations. Our simulations figured out that the heat transfer rate increased via Marangoni convection; however it is decayed by applied magnetic force. The temperature of SWCNT-H2O nanoliquid dominates MWCNT-H2O nanoliquid. 2017 Elsevier B.V. -
Marangoni convective MHD flow of SWCNT and MWCNT nanoliquids due to a disk with solar radiation and irregular heat source /
Physica E : Low-Dimensional Systems And Nanostructures, Vol.94, pp.25-30, ISSN: 1386-9477. -
Marine brown algae (Sargassum wightii) derived 9-hydroxyhexadecanoic acid: A promising inhibitor of ?-amylase and ?-glucosidase with mechanistic insights from molecular docking and its non-target toxicity analysis
Jeopardized glucose hemostasis leads to cronic metaboic disorder like Diabetes mellitus and it is predicted to occur in ?700 million people in the coming 20 years. Our study aims to isolate Palmitic acid (C16H32O3), 9-Hydroxyhexadecanoic acid metabolite from Sargassum wightii to inhibit alpha-amylase and alpha-glucosidase to reduce postprandial hyperglycemia and decline the risk of diabetes. High docking score of palmitic acid with both ?-amylase and ?-glucosidase is observed in in-silico molecular docking analysis, in comparison to commercially available drug acarbose. The three hydrogen bond in palmitic acid interacts with the important amino acids like Arg195, Lys200 and Asp300 in Glide XP docking mode for alpha-amylase. For ?-glucosidase, quantum-polarized ligand docking (QPLD) was used with similar three hydrogen bond interactions. Both docking studies showed significant binding interaction of palmitic acid with ?-amylase (?5.66 and ?5.14 (Kcal/mol)) and with ?-glucosidase (?4.52 and ?3.51(Kcal/mol)) with respect to the standard, acarbose docking score. The bioactive palmitic acid isolated from the brown alga, Sargassum wightii is already seen to inhibit digestive enzyme with non-target property in Artemia nauplii and zebra fish embryos. Further studies are required to investigate its role in in vivo antidiabetic effects due to its non-toxic and digestive enzyme inhibitory properties. It can be recommended in additional pharmaceutical studies to develop novel therapeutics to manage diabetes mellitus. 2023 SAAB -
Marine macrolides as an efficient source of FMS-like tyrosine kinase 3 inhibitors: A comprehensive approach of in silico virtual screening
Marine organisms are a definitive source of antibiotics and kinase inhibitors which provide cues for discovering novel drug leads. Marine macrolides are getting much attraction due to their enzyme inhibitory potential. The present study comprehensively dealt with the virtual screening and structure-based prediction of macrolide compounds against FMS-like tyrosine kinase 3 receptors (FLT3). The FLT3 was chosen as a biological target against the 990 marine macrolides. Before the virtual screening of macrolide compounds, validation of molecular docking was carried out by re-docking of co-crystallized Gilteritinib within the FLT3. Among the selected 990 candidates of marine macrolides, 311 were failed due to the generation of insufficient conformers. Amongst the successful compounds, 22 compounds were also failed to dock within the receptor, while the remaining 657 marine macrolide entities elicited successful docking. The HYBRID Chemguass4 Score ranged from -10.17 to -0.02. This vast difference in the HYBRID ChemGuass4 score is attributed to the difference in binding potential with the receptor's binding pocket. The top ten compounds were selected based on the HYBRID ChemGuass4 Score lower than -8.0 against FLT3. The pharmacokinetics and ADME properties revealed the drug likeliness of the macrolides. 2022 SAAB -
Marine microbial biopolymers and their applications
Marine environment has been an important surrounding in recent times for valuable resources such as bioactive polymers. Increasing environmental concerns and realizing the limitation of global petroleum resources, biopolymers has gained utmost importance. Highly abundant renewable biopolymers of different polysaccharides have been produced from microbes, clams, shrimps, etc., exhibiting varying biological activities. Among all these biopolymers, microbial biopolymers are the most promising substitute for the existing synthetic polymers. Microbial polymers are synthesized intracellularly and extracellularly for their cell functions and survival playing specific roles as reserve materials for energy conservation, symbiosis and osmotic adaptation, protective agents that can be extruded and used for various applications. These biopolymers have exceptional moisture and oxygen barrier characteristics in making films for use in food industries and medical aspects. Microbial biopolymers that have been used include the cellulose, levan, pullulans, xanthan, gellan, kefiran, Haloferax exopolysaccharides, Polyhydroxyalkanoates (PHAs), and poly-3-hydroxybutyrates. Marine bacteria such as Bacillus, Halomonas, Alteromonas, Planococcus, Pseudoalteromonas, Vibrio, Zoogloea, and Thermococcus are found to be hyperproducers for biopolymers. Due to their high quality, sustainability, long shelf life, and biodegradability, they have been receiving interest for innumerable biological activities such as antioxidants, antidiabetic, antiinflammatory, and antimicrobial actions. Microbial marine biopolymers with natural biological activity, structural functions can be tailored using genetic engineering to obtain newer biomaterials with novel functionalities. 2025 Elsevier Ltd. All rights reserved.