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Teaching Data Journalism: A Systematic Review
Data Journalism has attracted considerable academic attention as an innovative journalism practice in the recent past. It has resulted in a steady increase in academic research on data journalism. A subset of these studies deals with imparting training in data journalism. This study attempts to systematically review the peer-reviewed academic literature on data journalism training in order to ascertain the present status of academic research on the subject. By examining the studies, it brings together insights about the prevalent methods used in data journalism training, the challenges faced by the instructors, the recommended best practices and the students perception about data journalism training. The study finds that accommodating a new programme in the existing tight schedule of journalism curricula, alleviating the math-fear in students and adequately addressing the interdisciplinary nature of the practice through consistent up-skilling are some of the challenges faced by data journalism educators. It also finds that the academic literature on data journalism training is less concerned about imparting ethical awareness related to the practice. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
UV-C and gamma radiation mediated L-DOPA production from in-vitro cultures of Mucuna pruriens (L.) DC
This is the first report on UV-C and gamma rays mediated in-vitro elicitation of L-DOPA from Mucuna pruriens (L.) DC. cell suspension cultures. Gamma and ultraviolet rays are used on plants to induce mutations which results in activation of defence cascades and production of secondary metabolites due to this abiotic stress. The in-vitro callus developed from 0.5mg/L picloram was suspended into liquid medium and exposed to different time intervals (0, 15, 30, 45 and 60min) of UV-C radiations. On the other hand, the seeds were directly exposed to different doses (25, 50, 100, 150 and 200Gy) of gamma radiations and these irradiated seeds were grown in-vitro from which callus and cell cultures were established. From all these in-vitro cultures, the anti-Parkinsons drug L-DOPA was quantified using HPLC. 60 and 30-minute exposure of UV-C radiations resulted in highest biomass (193.27g/L FW) and L-DOPA production (5.13mg/g DW) respectively both showing a 1.5-fold increase than the control. In gamma radiation studies, 100Gy (Gy) dose showed the highest (83%) seed germination rate, 150Gy increased the in-vitro root and shoot length, while 100Gy increased the biomass of the cell cultures. Also, 150Gy dose showed a 6.1, 2.6 and 2.4-fold increase in L-DOPA production in the in-vitro roots, in-vitro shoots, and cell suspension culture respectively when compared to the control. UV light exposure of 30min and 150Gy doses of gamma radiation showed a significant increase in L-DOPA production. The Author(s) under exclusive licence to Society for Plant Research 2024. -
Biotic elicitors: a boon for the in-vitro production of plant secondary metabolites
Plant secondary metabolites are produced naturally in the plant system as a defense mechanism to combat environmental stress factors. These metabolites are extensively used in food, cosmetics, agrochemicals and pharmaceutical sectors. With the applications of plant tissue culture, any particular organ which is the major site for secondary metabolite production can be targeted and cultured. Recently, a new strategy to increase the metabolite production in plants has been employed with the use of elicitors. These elicitors are the chemical substances that trigger the biosynthetic pathways by activating certain transcriptional factors and upregulating the genes. Hence the secondary metabolite production increases in the plant system due to the stress developed by the introduction of the elicitors. Generally, elicitors may be abiotically derived from non-living sources or biotically derived from the living sources. In the present review, the mechanism of biotic elicitation and the applications of biotic elicitors like bacterial, fungal, algal elicitors and other polysaccharides extracted from them has been discussed extensively. It has been noted that the addition of bacterial elicitors like Rhizobiumrhizogenes showed a 94% increase in genistein production while Escherichia coli showed a 9.1-fold increase in diosgenin production. Similarly, fungal elicitors like Aspergillus niger increased thiophene production by 85% and a 26-fold increase in sanguinarine production was seen when the cultures were treated with Botrytis sps. Algal extracts like Haematococcus pluvialis increased the betalain production by 2.28 folds while Botryococcus braunii elicited Vanillin, Vanillylamine and Capsaicin by 3-fold, 6-fold and 2.3-fold respectively. 2021, The Author(s), under exclusive licence to Springer Nature B.V. -
UV-C and gamma radiation mediated L-DOPA production from in-vitro cultures of Mucuna pruriens (L.) DC
This is the first report on UV-C and gamma rays mediated in-vitro elicitation of L-DOPA from Mucuna pruriens (L.) DC. cell suspension cultures. Gamma and ultraviolet rays are used on plants to induce mutations which results in activation of defence cascades and production of secondary metabolites due to this abiotic stress. The in-vitro callus developed from 0.5mg/L picloram was suspended into liquid medium and exposed to different time intervals (0, 15, 30, 45 and 60min) of UV-C radiations. On the other hand, the seeds were directly exposed to different doses (25, 50, 100, 150 and 200Gy) of gamma radiations and these irradiated seeds were grown in-vitro from which callus and cell cultures were established. From all these in-vitro cultures, the anti-Parkinsons drug L-DOPA was quantified using HPLC. 60 and 30-minute exposure of UV-C radiations resulted in highest biomass (193.27g/L FW) and L-DOPA production (5.13mg/g DW) respectively both showing a 1.5-fold increase than the control. In gamma radiation studies, 100Gy (Gy) dose showed the highest (83%) seed germination rate, 150Gy increased the in-vitro root and shoot length, while 100Gy increased the biomass of the cell cultures. Also, 150Gy dose showed a 6.1, 2.6 and 2.4-fold increase in L-DOPA production in the in-vitro roots, in-vitro shoots, and cell suspension culture respectively when compared to the control. UV light exposure of 30min and 150Gy doses of gamma radiation showed a significant increase in L-DOPA production. The Author(s) under exclusive licence to Society for Plant Research 2024. -
Attitude and perception of tourists in Karnataka towards Climate Change
Climate change has a strong relationship with the tourism industry. According to the United Nation's World Tourism Organization???s Davos Declaration (2007) tourism industry contributes on an average about 5% of the global Carbon di Oxide emission in terms of radioactive forcing. Studies pertaining to the state of Karnataka, India indicate that most parts of the state could experience 1.5oC to 2oC warming relative to the level during the pre-industrial period of the 1880s by as early as 2030s under the likely high emission scenario (Kelkar et al, 2004; Dwarakish et al, 2009'; Kumar et al, 2015). Travel decisions to a large extent are influenced by the destination???s images of Sun, Sand, Sea, availability of snow and perceptions of other such climatic variables such as temperature, precipitation and humidity (De Freitas, 2001). Therefore, studying tourist???s perceptions of these environmental changes are crucial for the survival of the tourism industry especially in these climate-sensitive regions (Gossling & Hall, 2006a). Besides, understanding the attitudes and perceptions of different segments of the tourists towards their role in climate change adaptation and mitigation is a fundamental step in designing educational and communication campaigns which could be successfully implemented in this industry (Becken, 2010; Gossling & Hall, 2006; Saarinen et al, 2006; Scott et al, 2008; Martin & Lopez, 2014). Therefore, this study aims to boost our understanding of the relationship between tourism and climate change issues among tourists in Karnataka, India. The study consists of five chapters, namely Introduction, Review of Literature, Report on present investigation, Results and Discussion, Summary and Conclusion. The first chapter Introduces the relationship between tourism and climate change issues and brings out the significance of the role of travel decisions the environment. The second chapter analyses earlier studies conducted on the area of climate change, environment and tourism to gain a better understanding of the existing knowledge and to identify research gaps. The third chapter focuses on the research design of this study. It covers sampling plans, questionnaire design, constructs measurement, plan of analysis and Pilot study. The fourth chapter deals with the analysis of data which were collected for the study followed by the discussion of results. The fifth chapter summarizes the entire study and explains the findings and limitations of the study, Suggestions and conclusion. -
Sentiment analysis of impact of social platforms on the market share of a company
Sentimental analysis is also known as opinion mining or emotion AI. It refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, and study affective states and subjective information. In this paper, Amazon reviews and blogs are analyzed to detect the sentiment using linguistic feature utility. Evaluation of the usefulness of existing lexical resources as well as capturing information about the informal and creative language used in online service platform is done. The goal of this research is to show the impact on the market-share of Vivo in comparison with that of Oppo and highlight the reason for the impact. BEIESP. -
Blockchain and Its Integration in IoT
IoT devices have become an integral part of our lives. The world has witnessed an exponential growth in the number of IoT devices. Managing these devices and the data generated by them has become very crucial. Data security and users privacy are becoming more difficult as the number of devices grows. Blockchain, the technology behind Bitcoin, is known for data security and managing and efficiently maintaining huge amounts of data. Blockchain stores data in a chronological manner and in an immutable way. Integration of blockchain in IoT infrastructure has many advantages. This paper discusses various applications and challenges in blockchain. It highlights the adoption of blockchain in IoT infrastructure and reviews recent papers in this field. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Computational study of charge transfer iso-surface in first three excited states, electron-hole transition effects, chemical nature and bond order analysis investigations of chrysogine
This work presents the theoretical DFT (Density Functional Theory) studies and the biological application of chrysogine, a marine alkaloid. Energy minimisation and additional DFT evaluations were performed for vacuum and solvent media. It has been observed that solvation with polar solvents has resulted in a slight variation in the molecule's properties. The Multiwfn software was employed to carry out various topological analyses. Among these, the charge transfer studies show that the second and third excited states are the most significant. From the reactivity analysis, the least energy gap (4.9624 eV) is obtained in water, indicating that chrysogine is most reactive in aqueous media. Theoretical UV studies show that the trends in ?max values correspond to n >?* and n >?* electronic transitions within the molecule. An increase in medium polarity has demonstrated in the MEP (Molecular Electrostatic Potential) maps an increase in the potential range from ?6.619 10?2 a.u. to 6.619 10?2 a.u. in the gas phase, to a sharp rise to ?8.036 10?2 a.u. to 8.036 10?2 a.u. in ethanol, ?8.098 10?2 a.u. to 8.098 10?2 a.u. in methanol, ?8.130 10?2 a.u. to 8.130 10?2 a.u. in DMSO, and ?8.127 10-2 a.u. to 8.127 10?2 a.u. in water. The most significant transition contributing to molecular stability from NBO (Natural Bond Orbital) analysis is: (O2-C9) ?* ? ?* (C7-C8) with the energy of 258.13 kcal mol?1. The ADMET profile for the molecule was assimilated with the help of online servers. The molecule was docked against lung cancer target proteins (PDB ID: 1NTK, 3QFB) using software such as AutoDock Tools and PyMOL. The respective illustrations and data were visualised using Discovery Studio Visualizer. Good binding affinities (?5.69 kcal mol?1 for 1NTK and ?6.64 kcal mol?1 for 3QFB proteins) and interactions were achieved with the selected targets. 2024 Elsevier B.V. -
Stand-Up: The Comic Public Sphere in India
Comic performances might take a subversive form, especially in an autocratic regime where used as an instrument of expression by the oppressed, the silenced, the unseen, and the unheard, thereby offering a political critique of the state, economy, and systemic failures. This article discusses the ability of contemporary Indian stand-up comic performances to undermine hegemony. The article begins with a theoretical evaluation of the comic in the public sphere, moves to a brief survey of South Asian forms of comic performances, and links these concerns to performances by two contemporary comedy collectives, Aisi Taisi Democracy (ATD) and East India Comedy (EIC). The article then concludes with the possible complications of ATD and EICs contribution to a robust public sphere. Copyright 2023 (Rashi Bhargava and Samarth Singhal). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). Available at http://ijoc.org. -
INTRODUCTION
[No abstract available] -
PUNCHING UP IN STAND-UP COMEDY: Speaking Truth to Power
Punching Up in Stand-Up Comedy explores the new forms, voices and venues of stand-up comedy in different parts of the world and its potential role as a counterhegemonic tool for satire, commentary and expression of identity especially for the disempowered or marginalised. The title brings together essays and perspectives on stand-up and satire from different cultural and political contexts across the world which raise pertinent issues regarding its role in contemporary times, especially with the increased presence of OTT platforms and internet penetration that allows for easy access to this art form. It examines the theoretical understanding of the different aspects of the humour, aesthetics and politics of stand-up comedy, as well as the exploration of race, gender, politics and conflicts, urban culture and LGBTQ+ identities in countries such as Indonesia, Finland, France, Iran, Italy, Morocco, India and the USA. It also asks the question whether, along with contesting and destabilising existing discursive frameworks and identities, a stand-up comic can open up a space for envisaging a new social, cultural and political order? This book will appeal to people interested in performance studies, media, popular culture, digital culture, sociology, digital sociology and anthropology, and English literature. Chapter 9 of this book is freely available as a downloadable Open Access PDF at https://www.taylorfrancis.com under a Creative Commons (CC-BY) 4.0 license. Funded by the University of Helsinki. 2023 selection and editorial matter, Rashi Bhargava and Richa Chilana; individual chapters, the contributors. -
BORCAE: Bayesian Optimized Residual Convolutional Autoencoder for Efficient Feedback Compression in RIS-Assisted Time-Varying IoT Networks
Reconfigurable Intelligent Surfaces (RIS) have strong potential to improve the performance of time-varying Internet of Things (IoT) networks. However, a major challenge in operating RIS effectively is the need for frequent Quantized Phase Configuration (QPC) feedback bits from the Base Station (BS) to the controller. This challenge becomes more serious asthe RIS size grows, since the feedback bandwidth is limited. As a result, efficient compression of control signals is crucial for the practical deployment of RIS. In this work, we propose Bayesian Optimized Residual Convolutional AutoEncoder (BORCAE), a lightweight and noise-resilient feedback compression framework based on a 1D Convolutional Autoencoder with residual connections. The model is designed to reduce QPC feedback size while preserving high reconstruction fidelity. To ensure adaptability across varying deployment conditions, we employ Bayesian hyperparameter optimization using Optuna, which enables automatic tuning of key architectural hyperparameters. This optimization ensures that the architecture generalizes effectively across a wide range of operating scenarios. Additionally, we integrate the Limited Memory Broyden Fletcher Goldfarb Shanno (LBFGS) optimizer during the final training epochs, which accelerates convergence and improves stability. For performance evaluation, we use Normalized Mean Squared Error (NMSE) as the reconstruction metric. Extensive testing across different Signal-to-Interference-plus-Noise Ratio (SINR) levels demonstrates that BORCAE consistently achieves lower NMSE compared to DL-CsiNet and CsiNet. The results highlight the practical viability of BORCAE for RIS-assisted communication, offering improved efficiency, and scalability for real-world IoT and Sixth-Generation (6G) applications. 2020 IEEE. -
Legal Aid Education in Karnataka: A Critical Analysis
Legal Education has witnessed major transformations since the last few decades. The Constitutional ideals of justice, have been the foundational philosophy of legal newlineeducation in India. Consequently, legal aid has been a crucial link in the entire gamut newlineof advancing the values of justice. However, these purposes and ideals have undergone newlinemutations over the years. Aligned to these ideals, the Bar Council of India, had newlineintroduced legal aid as an important pedagogic tool that can fulfil twin mandate of providing justice to the common man and at the same time, train the students of law in newlinethe necessary skills and imbibe values in their journey of professional and social newlinecommitments. The history of legal aid is not new, in India and in the global context, yet legal aid as an educational tool is undermined and least prioritized in institutions that impart legal education. This could be attributed to various reasons, priorities of the institutions, ambiguity in understanding and working towards these goals. With the emergence of National Law Universities and various types of institutions on one hand and the newlineproportional rise in the number of students pursuing legal education on the other hand, newlinecreates a vast arena for the institutions to augment the existing resources in contributing to the societal needs. There have been various studies that have been conducted which focus on certain newlineaspects of law school clinics, specifically in creating Access to Justice. But there have newlinebeen limited studies in considering legal aid as an educational tool in terms of Teaching, newlineLearning and Research. There has been lack of evidence based approach that are employed to understand impending issues that hamper the effective working of legal aid within an institutional set-up. Hence the current study focuses on how the internal and external pressures act on legal aid within four different types of institutions across the state of Karnataka. -
Ensuring Equity and Mitigating Harm in AI (Fairness and Bias)
The rapid spread of Artificial Intelligence (AI) across sectors like healthcare, finance, education, law enforcement, and public administration has dramatically changed how decisions are made, services are delivered, and organizations function. AI holds incredible potential to improve human well-being and drive societal progress. Yet, alongside these opportunities come serious ethical concernsparticularly around fairness, bias, and the risk of reinforcing existing social inequalities. This chapter explores these challenges in depth, offering an interdisciplinary perspective on how bias emerges in AI systems. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Role of Technology in Achieving SDG Adoption in Emerging Economies
Technology has always changed the world for the better making processes efficient and effective, yet it is imperative to gain a comprehensive understanding and know-how of these technologies in order to utilize them for SDG adoption especially in emerging economies. The United Nations sustainable development goals (SGDs) provide us with a framework for creating a more sustainable, prosperous and equitable future by the year 2030 and modern technology has a vital role to play in actualizing these plans. However, utilizing technology for SDG adoption in emerging economies come with its own set of constraints and challenges. Emerging economies face unique challenges in their pursuit of the United Nations SDGs, including limited infrastructure, economic instability, and unequal access of resources. Nonetheless is proving to be a key enabler in overcoming such hurdles and accelerating the adoption of SDGs. This chapter explores how technology, including mobile connectivity, artificial intelligence (AI), blockchain, and the Internet of Things (IoT) are enabling smother and more streamlined adoption of SDGs and how emerging economies are the real beneficiaries. Mobile technology, for instance, has revolutionized the financial system making it inclusive, bring it within reach of the unbanked population of the world. Technology is also empowering small farmers with accurate weather forecast, real-time market data, and affordable crop management tools. This is a direct contribution to SDG 1 (No Poverty) and SDG 2 (Zero Hunger). In a similar manner, AI-powered app-based healthcare solutions are a massive leap within the sector and can help tackling disease outbreaks and enhancing the general health of the people, thus having a direct positive impact on SDG 3 (Good Health and Well-being). Furthermore, the applications of IoT are numerous and are proving to be rather beneficial for cities in emerging economies. It is being utilized to implement smart energy grids to water management systems directly contributing to SDG 6 (Clean Water and Sanitation) and SDG 7 (Affordable and Clean Energy). This chapter concludes by examining the need of inclusive policies and investment in digital infrastructure to ensure that emerging economies can reap maximum through the modern-day technologies. It also addresses the potential risks, such as digital inequality and data privacy concerns assessing how the contemporary technology be utilized in order to achieve sustainable development in emerging economies. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Exploring perspectives on risks to mental health problems in adolescents: A dual method approach
This study explores different perspectives on the risk factors of mental health problems among adolescents using a dual method approach. 12 mental health professionals were interviewed using a semi-structured interview guide. Nine Focus Group Discussions were conducted with parents, teachers and school going adolescents (aged 12-18). Data were transcribed and analysed using content analysis. Common codes and categories were extracted from both the methodologies thus, representing triangulation and trustworthiness of findings. The results show seven major coding categories including self concept, coping mechanisms, parenting principles and family dynamics, teacher-student dynamics, peer interaction and media. Participants across the groups described the relevance of these categories in the mental health of adolescents. The findings were illustrated using Bronfenbrenners ecological systems theory framework. The findings have important implications in terms of identification and management of mental health difficulties in adolescents especially from a preventive perspective. The findings conclude that risk factors exist within the individual as well the contextual systems which make an adolescent vulnerable to a number of mental health problems. The findings can be included in the primary prevention framework by identifying and modifying these risk factors and therefore, delaying the progression of mental health difficulties into a major disorder. 2022 RESTORATIVE JUSTICE FOR ALL. -
Development and Validation of the Multidimensional Psychosocial Risk Screen (MPRS): An Approach towards Primary Prevention
Background: The prevalence of mental health problems in adolescents has been identified as a global concern. Early screening and identification can offer benefits in terms of primary prevention and reduced healthcare costs. This study aimed to develop a tool to assess the risk of developing mental health problems in adolescents. Methods: The study followed an exploratory sequential design and was divided into five phases. The Multidimensional Psychosocial Risk Screen (MPRS) is a newly developed self-report measure. The various steps in its development and validation have been elaborated. The MPRS was evaluated with a sample of 934 adolescents aged 12-18, spread across the 8th-12th grade. Results: Exploratory and confirmatory factor analyses revealed a robust factor structure. The extracted five factors were named as Parent-Child Relationship (PCR), Self-Concept (SC), Teacher-Student Dynamics (TSD), Social Media Use (SMU), and Peer Interaction (PI). The reliability of the subscales ranged from 0.60 to 0.80. The overall reliability of the scale was good (a = 0.87). Convergent validity of the scale was established using standard measures of risk factors and emotional and behavioural problems. Conclusions: The MPRS can be considered an effective tool with an adequate factor structure and good psychometric properties. It can be beneficial in the early detection of vulnerabilities to mental health problems in adolescents and, therefore, seen as a key element in primary prevention and fostering individualized interventions. 2023 The Author(s). -
Integration of Intelligent System and Big Data Environment to Find the Energy Utilization in Smart Public Buildings
Buildings are the leading consumer of energy in the setting of smart cities, and public structures such as hospitals, schools, government offices, and additional institutions have high energy needs owing to their frequent use. However, there needs to be adequate use of the latest innovations in machine learning inside the big data context in this field. Controlling the energy efficiency of public subdivisions is a crucial aspect of the smart city concept. This chapter aims to address the challenge of integrating big data platforms and machine learning algorithms into an intelligent system for this purpose to forecast how much energy various Croatian government buildings will consume, prediction models were constructed using deep learning neural networks, Rpart regression tree models, and random forests using variable reduction techniques. The evaluation of all three techniques considered critical aspects, and the random forest methodology yielded the most precise model. The MERIDA intelligent system aims to enhance energy efficiency in public buildings by integrating big data and predictive algorithms. This research examines the technological requirements for a platform that facilitates public administration in planning public building reconstruction, reducing energy consumption and expenses, and connecting intelligent public buildings in smart cities. Digitizing energy management may improve public administration efficiency, service quality, and environmental health. 2025 Scrivener Publishing LLC. All rights reserved. -
A Legal Analysis of Cyber-Enabled Wildlife Offences in India: A Qualitative Case Study of Sea Fans (Gorgonia spp.) on YouTube
With the advent of the Internet, offences against threatened species have transitioned online. Such species are directly or indirectly traded on social media despite being protected under Indian wildlife law. A qualitative case study was undertaken to assess the preparedness of national law and policy in prohibiting such offences. Sixty-three YouTube links on sea fans in the Hindi language were accessed over 8 weeks, and the information generated by both content creators and audiences was gathered and categorized for analysis. The legal provisions were then interpreted and applied to assess the extent to which the parties involved could be held liable. Our investigation shows that of these video links, the content creators directly offered specimens for sale in 15.87% of instances, demonstrated physical possession of wild specimens in 23.81% of these posts, and were involved in both activities in 20.63% of the links, which in our analysis is explicitly prohibited under national law. The remaining 39.68% of video links merely disseminated information on the relevance or usage of species in occult or religious practices, for which no express legal provision currently exists. Certain indirect legal provisions were found to be relevant; however, there were challenges associated with their implementation. Even the liability of a social media company was found to be limited if it can be demonstrated that the company exercised due diligence. Therefore, there is a need to explicitly regulate online content that has the potential to drive an unlawful demand for protected species alongside the imposition of enhanced liability on social media companies. Such measures, coupled with community awareness, can reduce cyber-enabled wildlife offences committed through social media channels. 2024 Taylor & Francis Group, LLC.