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ASSESSING FIRMS ESG PERFORMANCE USING THE TOPSIS
Environment, social and governance (ESG) criteria are a quantum of a companys performance in the environmental, social and governance aspects. A companys worth may be determined not only by its earnings but also by its knowledge and sensitivity towards its stakeholders and society. The study aims to rank the companies and determine which company is superior based on ESG criteria. The authors employed the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in this study. The companies are ranked with this standardized method comprehending which company is the best taking into consideration the various environmental, social and governance factors. The authors have evaluated four companies in the electric utilities and IPPs industry. The results of the study rank these four companies on the basis of ESG criteria. Interestingly, the rankings calculated for ESG criteria are identical to the rankings calculated by a well-known ESG rating agency. To the best of authors knowledge, this work is among the first to use the TOPSIS method to find rankings of the companies on the basis on ESG criteria. The work provides practical implications regarding convenient to use when finding ESG rankings for companies. This might be the most effective way for investors or other parties to learn which firm is the greatest for sustainable investing. 2025 by Palak Rathi, Ankit Nyati, Rushina Singhi and Anubha Srivastava. -
Memes and Marketing: What the social media users have to say?; [Memes e Marketing: O que os usuios das redes sociais t a dizer?]
This study delves into the nascent field of memesunits of cultural transmissionfocusing on their potential applications, notably to the field of marketing. The research highlights the prevalence of brands creating meme content to engage with the public, but notes a dearth of comprehension regarding user responses to such content. The study employs semi-structured interviews to gauge social media users' awareness and receptiveness to brand-generated memes. Information was collected from thirty people residing in India. The sample consisted of people from Generations X (1965 1980), Generation Y (Millennials) (1981 1995), and Generation Z (1995 Present). Following a Grounded Theory approach, a textual analysis categorizes participants based on shared responses, utilizing the Theory of Diffusion of Innovations to understand the adoption of new content. The objective of the paper is to analyze individuals' attitudes towards memes and classify them into distinct categories, such as early adopters, those uncomfortable with memes, indifferent individuals, or late adopters. The theory identifies distinct user categories, shedding light on how various segments of society embrace innovations. The study aims to enhance marketers' understanding of meme reception, offering insights and recommendations for evolving this form of marketing into a more effective and entertaining practice. This Article is Distributed Under the Terms of the Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0/deed.en. -
On becoming a demanding Community: Neelam and its March for Justice
The Neelam Panpattu Maiyam (Neelam Cultural Centre), an anti-caste socio-cultural movement based in Tamil Nadu, has emerged as a political force following its March for Justice rally in response to the murder of Dalit leader, K. Armstrong of Bahujan Samaj Party (BSP). The rally caused unease not only among mainstream political parties but also within certain Dalit political factions, with the media claiming it created divisions within Dalit politics. However, the movement, with strong Dalit assertions, confronts the Dravidian political power of the state head-on, which chose to remain silent about the murder. In contrast to those Dalit leaders who appease the state apparatus by compromising Dalit rights, Neelam demanded elected Dalit leaders to firmly stand for the Dalit cause. Given this recent political upheaval, this study delves into Neelams evolving political role in becoming a more vocal and influential force in contemporary political discourse against caste-based injustices, highlighting the significant impact of the March for Justice rally within and beyond the Dalit politics in the state. 2025 Informa UK Limited, trading as Taylor & Francis Group. -
Enhanced Security for Large-Scale 6G Cloud Computing: A Novel Approach to Identity based Encryption Key Generation
Cloud computing and 6G networks are in high demand at present due to their appealing features as well as the security of data stored in the cloud. There are various challenging methods that are computationally complicated that can be used in cloud security. Identity-based encryption (IBE) is the most widely used techniques for protecting data transmitted over the cloud. To prevent a malicious attack, it is an access policy that restricts access to legible data to only authorized users. The four stages of IBE are setup, key extraction or generation, decryption and encryption. Key generation is a necessary and time-consuming phase in the creation of a security key. The creation of uncrackable and non-derivable secure keys is a difficult computational and decisional task. In order to prevent user identities from being leaked, even if an opponent or attacker manages to encrypted material or to decode the key this study presents an advanced identity-based encryption technique with an equality test. The results of the experiments demonstrate that the proposed algorithm encrypts and decrypts data faster than the efficient selective-ID secure IBE strategy, a competitive approach. The proposed method's ability to conceal the identity of the user by utilizing the Lagrange coefficient, which is constituted of a polynomial interpolation function, is one of its most significant aspects. 2023 The Authors. Published by AnaPub Publications. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/) -
A framework for national-level prevention initiatives in Indian schools: A risk reduction approach
India's mental health policies predominantly prioritize treatment and rehabilitation. While acknowledging the significance of youth well-being, the initiatives undertaken are fragmented, lacking comprehensive data on reach and utilization. Mounting evidence supports the preventability of mental illnesses, highlighting the cost-effectiveness of prevention initiatives, particularly within school-based programs. This paper aims to delineate a preventive framework centered on schools, employing the six-step OrigAMI (Origins of Adult Mental Illnesses) model. This model targets modifiable risk factors to stop the development of mental illnesses. Each step of this model is dissected and examined within the context of the school environment, elucidating the unique and influential role that educational institutions can undertake in preventive initiatives in India. In the initial step, the paper identifies modifiable risk factors in children and adolescents that can be addressed within the school environment. The second and third steps involve pinpointing the target demographic and utilizing data from comprehensive reviews of mental health initiatives. The fourth and fifth steps delineate the workforce structure, advocating for task shifting to non-specialists, engaging school stakeholders and parents, and establishing a systematic workforce framework. The final step delves into policy implications, exploring the potential to reduce the prevalence of mental illness by focusing on risk factors with a high Population Attributable Fraction. This section also contrasts the proposed approach in terms of expenditure against the current budget allocations. The paper culminates with a recommendation to integrate these preventive programs into existing healthcare policies, positioning schools as central to these prevention efforts. The integration of prevention programs into healthcare policies aims to reduce prevalence rates and alleviate the burden on the healthcare system. 2024 Elsevier GmbH -
Using Recurrent Neural Networks to Forecast Climate Change: A Time Series Analysis of Global Temperature Variability
Predicting the upcoming weather instances is very crucial. It depends on different climatic parameters like humidity, pressure, temperature, etc. In this paper, the historical data of the weather in the India area is used for future weather instances of the India for farmers' convenience in terms of the agricultural instance which depends on the weather and, functioning according to that which will restore the energy. For weather forecasting we have use the machine learning algorithm and probabilistic predictions of the predictive analytics based on soft computing and. NGBoost algorithm and. Linear models of the machine learning for predictive. Comparative weather incidence spaced on the historical data. We have also used, sliding window algorithm of the statistics for predicting the ideology of the concept of different contrasted windows and year. We've also used utility thirds and machine learning algorithm, classified for predicting the weather based on different features The overall implementation in this paper, shows the accuracy which we have gathered from the data set. An implementation of algorithm which ranges between 80% to 90% and the entire algorithm have been compared based on the feature instances. Work can be concluded on the measurement of the algorithm, which we have got after the implementation of Models. Which rely upon the different data features and thus it can be beneficial for preserving the energy and materials in the India agriculture area and forecasting the weather as per day Agricultural conditions. 2025 IEEE. -
Unveiling the Ecological and Geopolitical Contradictions of Large-Scale Development Initiatives: A Critical Analysis of the Belt and Road Initiative
This chapter critically examines the ecological and geopolitical contradictions within large-scale development initiatives, focusing on China's Belt and Road Initiative (BRI) as a paradigmatic case. While framed as a vehicle for sustainable growth, the BRI often instrumentalizes sustainability discourse to legitimize extractive development, suppress dissent, and extend geopolitical influence. Using interdisciplinary approaches from political economy, post-development theory, and critical discourse analysis, the chapter deconstructs narratives such as 'Green BRI,' ecological civilization, and win-win cooperation. Case studies from Southeast Asia and Africa expose a stark contrast between rhetorical commitments and realities of environmental degradation, displacement, and debt dependency. The chapter advocates for an eco-centric, justice-oriented development paradigm and offers policy recommendations that emphasize accountability, participation, and ecological integrity in future infrastructure planning. 2026, IGI Global Scientific Publishing. All rights reserved. -
Strategic Stewardship: Indias Role in Balancing Maritime Power in the Indo-Pacific Region
This chapter examines Indias Indo- Pacific maritime vision through soft balancing theory, analyzing how New Delhi navigates Chinas regional assertiveness while managing internal capability constraints. Indias approach integrates normative leadership through UNCLOS advocacy and the evolution from SAGAR to MAHASAGAR doctrine with strategic partnerships via the QUAD, bilateral engagements with Japan and Australia, and ASEAN- centric diplomacy. These frameworks collectively demonstrate Indias commitment to a rules- based, free, and open Indo- Pacific order. However, critical gaps exist between ambition and capability: Indias naval modernization faces delays, budgetary constraints limit fleet expansion, and defense-i ndustrial weaknesses persist. The study reveals that while India successfully positions itself as a responsible regional actor and norm-s etter, realizing its Indo- Pacific vision requires bridging this capability gap through increased naval investment, indigenous defense production, and sustained strategic partnerships. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Advanced Load Balancing Min-Min Algorithm in Grid Computing
Framework figuring has turned into genuine distinctive to old supercomputing situations for creating parallel applications that bridle huge process assets. In any case, the quality acquired in building such parallel Framework mindful applications is over the ordinary parallel registering conditions. It tends to issues like asset disclosure, heterogeneous, adaptation to non-critical failure and assignment programming. Load balancing errand programming inconceivably indispensable downside in cutting edge lattice environment. Load balancing ways is normally utilized for the development of appropriated frameworks. Normally there is a three kind of stages related with Load compromise that is information arrangement, higher psychological process, learning Relocation. Take a gander at the impact of surveying on load assignment by contemplating a fundamental expense in limit. There are three completely hovered tallies to lift which put away the stack ought to be doled out to, pondering the framework action cost among get-togethers. These tallies utilize grouped data trade frameworks and an asset estimation framework to redesign the constrained air framework exactness of load adjusting. Springer Nature Switzerland AG 2020. -
Design and Simulation of a Multi-purpose Adjustable Modular Robot for Precision Agriculture
Global population growth, climate change, and labor shortages all represent substantial obstacles to meeting global food needs, and agricultural robots provide a possible solution. This work uses a survey to evaluate user behavior toward using agricultural wheel robots on small farms. The survey was conducted in various parts of India (Coimbatore, Bhubaneswar, and Silchar), where 250 large and medium commercial farmers participated. After the survey, a new robotic system architecture is a multi-purpose, adjustable, modular, and affordable robotic platform designed for precision agriculture. A unique feature is added to the design, which helps the robot to adjust by itself based on the row distances and crop heights. The software was designed using the Fusion 360, and simulation is carried out in GAZEBO and Robot Operating System (ROS). 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Training in Cultural Competence for Mental Health Care: A Mixed-Methods Study of Students, Faculty, and Practitioners from India and USA
Although the need to train clinicians to provide effective mental health care to individuals from diverse backgrounds has been recognized worldwide, a bulk of what we know about training in cultural competence (CC) is based on research conducted in the United States. Research on CC in mental health training from different world populations is needed due to the context-dependent nature of CC. Focusing on India and USA, two diverse countries that provide complementary contexts to examine CC, we explored graduate students, practicing clinicians, and faculty members perspectives regarding CCtraining they received/provided and future training needs using mixed-methods. The data were collected using focus groups (n = 25 groups total: 15 in India, 11 in USA), and a survey (n = 800: 450 in India, 350 in USA). Our data highlight the salient social identities in these countries, and the corresponding constituents of CC training. Participants in India described a practical emphasis to their CC training (e.g., learning about CC through life experiences and clinical practice experiences) more so than through coursework, whereas participants in USA described varying levels of courseworkrelated toCC along with practice. Participants in both countries considered enormity of CC as a challenge, while those in the US also identified CC training limited to a white, straight, male perspective, hesitancy in engaging with diversity topics, and limited time and competence of the faculty. Strengths of CC training in India and USA are mutually informative in generating recommendations for enhancing the training in both countries. The Author(s) 2024. -
Parental socialization of positive affect, adolescent positive affect regulation, and adolescent girls depression in India
An emerging body of research shows that parental socialization of positive affect (PA) is implicated in youth functioning, although most evidence comes from Western countries. In this study, focusing on adolescent girls in India, we examined associations among reports of parents responses to adolescent PA, adolescent PA regulation, and adolescent depression. A total of 238 adolescent girls (1318years) and one of their parents (54% mothers) were recruited. Participants completed questionnaires at the beginning of the school year (time 1) and five months later (time 2). At the bivariate level, parents dampening and adolescent girls dampening responses were each associated concurrently with adolescent depression at time 1. However, there were no significant direct associations between time 1 parents dampening or enhancing responses and time 2 adolescent girls depression (after controlling for time 1 depression). Using half-longitudinal models, a significant indirect effect was found from parental dampening of PA to increased adolescent depression via adolescent girls own increased dampening. No indirect effect was found from parental enhancing to adolescent depression via adolescent girls increased positive rumination. These findings are the first to demonstrate the relevance of PA socialization for girls in a non-Western culture. 2018 John Wiley & Sons Ltd -
Exploring Trajectories of Youth Suicide and Prevention Strategies Within Andaman and Nicobar Islands of India
Suicide is a major public health challenge globally, and although universal public health frameworks exist, suicide prevention efforts need to be tailored for specific cultural communities. Andaman and Nicobar Islands, one of the union territories of India with particularly high rates of suicide-related deaths, provide a unique socio-historic, economic, political, and healthcare context to understand suicidality. In this qualitative study, we explored factors that trigger suicide and potential solutions for suicide prevention that may be feasible and relevant for migrant youth within the resource-limited healthcare infrastructure of the islands. We completed individual semi-structured interviews with 10 key informants (7 men, 3 women), who included youth who attempted suicide, peers, and professionals. Overall, youth suicide on the islands needs to be situated within historic trauma rooted in British colonial rule and continued sociopolitical and economic marginalization. Youth experience academic pressures, interpersonal challenges, substance use, and challenges unique to island life, which along with the public perception trivializing youth distress and access to means, elevate risk for suicidal behavior. Sustained investment in infrastructure development, along with innovative approaches that move beyond traditional suicide prevention frameworks to help foster compassionate communities and empower youth with entrepreneurial and life skills would be beneficial. The Author(s) 2026 -
Compact LoRa Patch Antenna Optimization Using Dual Random Starfish Aggregation Coupled Transformer Network for Vital Sign Detection in Breast Cancer WBANs
The rapid advancement of Wireless Body Area Networks (WBANs) has created a growing demand for compact, efficient, and reliable antenna systems to support continuous health monitoring, particularly for breast cancer applications. Recent methods, including CPW-fed patch antennas, artificial neural network (ANN)-driven models, and wearable textile antennas, have improved antenna design automation and flexibility. However, challenges such as signal distortion from body proximity, gain reduction under bending, Specific Absorption Rate (SAR) compliance, and lack of adaptive tuning continue to limit practical deployment. To overcome these limitations, this study presents a compact LoRa patch antenna optimized using a novel Dual Random Starfish Aggregation Coupled Transformer Network (Dual-Ran-SACTN) framework. This system combines the Starfish Optimization Algorithm (SFOA), a Random-Coupled Neural Network (RCCN), and a Dual-Aggregation Transformer Network (DuAT) to enhance convergence speed and learning efficiency. The antenna, designed in CST Microwave Studio, measures only 80נ60mm2 (0.23??נ0.17??), offering a lightweight and wearable structure for continuous vital sign monitoring. The proposed model exhibits a bidirectional radiation pattern in the E-plane and an omnidirectional pattern in the H-plane, achieving a peak gain of 2.12dBi and a high radiation efficiency of 99.8% at 868MHz. Additionally, the design maintains low SAR and stable performance under bending, making it robust for wearable WBAN applications. This work offers a real-time, energy-efficient solution for intelligent breast cancer monitoring through adaptive antenna optimization. This model supports practical applications such as continuous breast cancer monitoring, wearable health diagnostics, and real-time WBAN-based physiological signal tracking. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
CovalentOrganic Frameworks (COF): An Advanced Generation of Reticular Organic Polymers for Energy and Environmental Applications
Over the past decade, nanoporous materials have caught strong attention among the scientific community due to their tremendous potential in real-world applications. This chapter introduces one such group of nanoporous materials called Covalent Organic Frameworks or simply COFs. Here, we briefly covered the overview of synthesis of COFs and their post-synthetic modifications employing different linkages boron, imine, triazine linkages, etc. High porosity with adjustable periodic pores, well-defined structures, and tunable skeletons are some of the key properties of COFs. In account of such advantages COFs have been scientifically researched in applications like adsorption, separation, energy storage devices, sensing, and especially in degrading various pollutants like heavy metals As, Cd, Cr, Cu; radionuclides UO 2 2+, TcO 4 ?, Nd 3 +, I 2; organic waste dyes, pharmaceutical waste, organo-phosphorous retardants, etc. This chapter specifically describes the current advancement of COFs in segregating hazardous chemicals by sorption methods. One such example is heavy metal sorption in trace amounts from water which otherwise can pose a great threat to human health if not removed completely. Some of these ions include UO 2 2+. By utilizing weak chemical interactions for dye confinement within COF pores, industrial sewage water can be made dye free. ?-conjugated backbones found in aromatic COFs could function as a signal transducer, or active functional groups evenly spaced could act as a receptor, and the uniform pores can serve as mass transfer inducer/enhancers. As a result, COFs can facilitate facile and smooth ion transport by the virtue of redox activities within COF pores. This makes COF a robust and efficient material for energy applications particularly in designing batteries and supercapacitors. Thus, COFs could act as a potential electrodes both anode and cathode for energy storage devices. The current chapter also highlights the development in the field of environmental applications using COF materials. In a nutshell, this chapter gives the reader an idea about many fold advantages of COFs in the energy and environmental sector to combat rising environmental concerns and energy demands. 2025 WILEY-VCH GmbH, Boschstra 12, 69469 Weinheim, Germany. All rights reserved. -
Blockchain-service quality-service value model to tourism experience
The goal of this study is to determine impact of Blockchain Technology in the Tourism Industry enhancing the Service Value and Service Quality among the players in the industry through BSS (Blockchain Technology-Service Quality-Service Value) model. Design/Methodology/Approach: A structured self-administered 380 questionnaires were designed and circulated to collect the preliminary information from the Tourists, Tour Operators, Travel Agents, and Hoteliers across the metropolitan cities using the Multi-Stage Cluster Sampling method to obtain a sample size of 284. Service Quality, technology, Service Value are the observed constructs to validate the hypothesis through SEM using Smart PLS 4. Findings: It can be observed that the technology addresses the pain points of the various participants operating in the tourism industry through the conceptualized BSS Model. The technology enhances the Service Quality by 80.2 per cent and Service Value by 81.3 per cent in the tourism industry. There is positive and strong relationship between Blockchain technology & Service Quality (0.893), Service value & Service quality (0.897), service value & blockchain technology (0.901). Original Value: The technology promises an instant, safe & advanced engine to the customers for managing bookings, payments, and hotel & property management, leading the clients to enjoy the maximum benefits eliminating the intermediaries and commission fees. It also ensures addressing the key players' pain points more effectively, adding customized service value offering quality service focused on customer satisfaction. 2024 Author(s). -
Artificial intelligence service agents: a silver lining in rural India
Purpose: The study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services. Design/methodology/approach: Multi-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact. Findings: The study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population. Originality/value: Customers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims. 2023, Emerald Publishing Limited. -
Factors Affecting Predicting Teacher Evaluation in Higher Educational Institutions Among Faculty Members based on SA-BiLSTM
To keep up with good teaching standards and pedagogical improvements, it is vital to predict assessment of higher education teachers. Based on principles of pragmatism, psychology, and pedagogy, this research should contribute to the development of diagnostic procedures and training standards that may be used in many educational settings. Because of the three-tiered speciality training architecture used to prepare teachers in master's degree programs in education in Ukraine, institutions there require a differentiated approach. Model training, feature extraction, and preprocessing are all parts of the proposed methodology. While translating, cleaning, reducing, and normalising data is part of data preparation, feature selection uses correlation and mutual information criteria to establish the significance of variables. Following feature selection using information gain, the SA-BiLSTM model begins training. Different institutional features were associated with unique approaches to teacher preparation, according to a comparison of active empathy and the growth of pedagogical reflection. The SA-BiLSTM model outperforms SA and BiLSTM when it comes to predicting teacher ratings. The results show how important it is to have different levels of individualised strategies for preparing teachers. Institutions can improve training and instruction with the support of the predictive approach, which better evaluates teachers. 2025 IEEE. -
Extensible Business Reporting Language (XBRL)- A Modern Age Business Language System and its Developments Scenario within India & Abroad
International Journal of Applied Financial Management Perspectives Vol. 1, No. 1, pp. 60-65, ISSN No. 2279-0896 -
Intention to use fintech services: An investigation into the moderation effects of quality of internet access and digital skills
This paper aims to investigate the moderating influence of the quality of access to internet and digital skills on the factors that influence the intention to use fintech services among the young working population in India. We use the Theory of Planned Behavior to examine the intention to adopt financial technology in a rapidly technologically transformative Indian landscape. We conducted an empirical investigation on 324 young workers in India using the survey method. The TPB model's relevance in an Indian context is validated. Attitude, perceived behavioral control, and subjective norms together accounted for 48.7% of the variation in the intention to use fintech services. The quality of internet access significantly moderated the positive effect of young workers' attitudes on their intention to use fintech. Digital skills significantly moderated the positive effects of attitude and perceived behavioral control on intentions to use fintech services. India is considered a very fast adopter of digital technology. In India, the use of electronic channels in financial service delivery is on the rise. With the wide geographic dispersion and huge population, the quality of internet access and digital skills can influence the intention to use fintech services. There can be vast differences in the behavioral mindset of people in a developing country like India compared to that of a developed one regarding the use and adoption of digital platforms for accessing financial services. Developers and regulators must adopt approaches and policies that consider these behavioral factors. This paper examines the Theory of Planned Behaviour in the context of a rapidly transforming behavioural context in India with the adoption of technology-based financial services. The importance of quality internet access and digital skills as factors moderating the adoption of technology is examined in this paper, unlike many previous studies. 2024 Conscientia Beam. All Rights Reserved.