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Unleashing the Power of Animation Movies on Sustainable Tourism: A Case Study on Moana
The case study explores the possibilities of implementing the socio-cultural, environmental representation and authenticity of the indigenous community depicted in the movie Moana in real life, thus embracing cultural heritage and identity using a sustainable model of developing tourism. This case study also aims to understand how animation movies like Moana will reflect the causes of climate change and may motivate tourists to choose their destination. Walt Disney Animation Studios 2016 film Moana, which had stunning animation and inspiring themes, captured the attention of viewers worldwide. This case study examines the different factors that led to the movies popularity and its profound effect on spectators, especially regarding indigenous community identity, ecocentrism, and effects of climate because of human intervention. The case explains the movie from different dimensions: culture and heritage, power of determination and hard work, eco-friendly initiatives, climate change, sustainability lessons, and destination choice. With direction by Ron Clements and John Musker, the motion picture Moana depicts the tale of Moana Waialiki, a young Polynesian girl who sets out on a dangerous journey to save her people and find her true identity. The movie displays the rich cultural legacy of the Pacific Islands and is inspired by Polynesian folklore. In this case, we would like to emphasize the value of self-discovery, personal development, and the strength of embracing ones uniqueness. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Unlocking Access: Technology as a Tool for Transgender Economic Justice
The Transgender community across the world face discrimination from all walks of life. The transgender, even if educated and skilled, faces multiple hurdles during the employment process and within the workplace once employed. The challenges have even increased with COVID-19 and mass layoffs affecting employees across the globe. Transgender people have to be empowered to face the challenges of employment processes and workplace challenges as and when they arise. With the advancement of digital technologies, the Fourth Industrial Revolution can be leveraged for training, empowerment, awareness, network building, grievance redressal and sustainability for the transgender community. Digital technologies leverage the community to collaborate and be vocal about their needs and rights at a global level. Digital technology also helps the transgender community reach the proper forum to implement the required program for the benefit of the community. The decentralized and anonymous system for recording data and reporting incidents will also be a helpful, transparent process without being subject to unnecessary scrutiny. The technology-enabled system and practices will also help the companies and institutions to ascertain appropriate and efficient methods for creating gender gender-neutral environment devoid of any discrimination. Recently, there was a significant rise in concerns about employment practices for the LGBTQ community around the globe during the pandemic, such as lockdown protocols affecting employment conditions, vaccine access, support from employers, severance pay, mental health, etc. The International ecosystem has seen minimal regulatory discussion, and individual countries and companies are now implementing schemes to address the issue faced by transgender individuals in the employment and work ecosystem through the infusion of technologies. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Unlocking Credit Default Swaps (CDS) to the retail investors to boost liquidity and minimize risk /
Global Journal of Contemporary Research in Accounting, Auditing and Business Ethics, Vol-1 (1), pp. 40-58. ISSN-2311-3162 -
Unlocking efficiency: experimental and theoretical insights into biomass-derived carbon nanofluids with enhanced thermal conductivity
The study presents an experimental investigation, supported by theoretical analysis, into the effects of nanoparticle (NPs) concentration, particle size, and shape on the thermal conductivity (TC) of carbon nanosphere (CNS)-based nanofluids (NF). CNS was synthesized from garlic peels (Allium sativum) via pyrolysis at varying temperatures and characterized using X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), and other techniques. The NFs were prepared using a two-step method with different CNS concentrations in propylene glycol (PG) and deionized water (DI)/PG mixtures. Particle size distribution and colloidal stability were evaluated using dynamic light scattering (DLS) and zeta potential analysis. The TC of the NFs was measured across various temperatures, revealing a significant dependency on both particle size and concentration. All NFs exhibited enhanced thermal conductivity to the base fluid (BF), with increases of 52.60%, 101.28%, 108.51%, 114.60%, and 122.64% at 80 C for CNS synthesized at 500 C (AS500), 600 C (AS600), 700 C (AS700), 800 C (AS800), and 900 C (AS900), respectively. Rheological analysis showed a linear increase in dynamic viscosity (V) with rising CNS concentration within the dilute limits (0.01 to 0.1 wt%) and a strong correlation between particle size and thermal conductivity enhancement. These findings emphasize the critical role of CNS particle size in optimizing thermal performance, with potential applications in heat transfer systems. The study culminates with an exercise aimed towards presenting thermal conductivity and dynamic viscosity as surface plots. These plots provide behavioral trends for understanding the dependence of TC and V on nanoparticle size and temperature. 2025 The Royal Society of Chemistry. -
Unlocking eudaimonic well-being: Assessing the impact of adolescent social cognitive skills training
Eudaimonic well-being (EWB) has long-lasting effects on individuals' mental health, enabling them to find purpose and meaning in life, depending on the individual and society. Social cognitive skills training constitutes a new aspect of the adolescent's social development, including three domains: cognitive ToM, affective ToM, and an inter-intra-personal understanding of social norms. This chapter identifies the effectiveness of A-SCST on eudaimonic well-being (EWB) during adolescence. A quasi-experimental research design was used in this study. The authors administrated the PWB-18 scale as a screening tool and the PWB-42 item scale as an outcome measure. Seventy-four participants and adolescents participated in this study. This study confirmed that A-SCST has a positive outcome on the eudaimonic well-being of adolescents post-training with a large effect size, t =-13.0, df = 35, p <.001, r =-2.17 in the experimental group. The A-SCST has successfully improved the eudaimonic well-being of adolescents. 2024, IGI Global. -
Unlocking Happiness: The Power of Spiritual Intelligence for Emerging Adults
This study investigated the relationship between spiritual intelligence (SI) and happiness among emerging adults. 163 undergraduate and postgraduate psychology students from private universities completed standardized measures of SI and subjective happiness. Results showed positive correlations between SI and happiness (r = 0.26 to 0.59, p <.01). Two SI domains - transcendental awareness and conscious state expansion - were found to be significant predictors of happiness. The findings suggest that SI plays a crucial role in promoting happiness among emerging adults, supporting the hypothesis that SI can be used as an aid in the process of achieving happiness through independent decision-making and responsibility. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
Unlocking Happiness: The Power of Spiritual Intelligence for Emerging Adults
This study investigated the relationship between spiritual intelligence (SI) and happiness among emerging adults. 163 undergraduate and postgraduate psychology students from private universities completed standardized measures of SI and subjective happiness. Results showed positive correlations between SI and happiness (r = 0.26 to 0.59, p <.01). Two SI domains - transcendental awareness and conscious state expansion - were found to be significant predictors of happiness. The findings suggest that SI plays a crucial role in promoting happiness among emerging adults, supporting the hypothesis that SI can be used as an aid in the process of achieving happiness through independent decision-making and responsibility. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
Unlocking India's growth: UPI's digital impact on GDP
Unified Payments Interface (UPI) has emerged as a pivotal driver of economic growth. By offering a seamless and efficient platform for digital transactions, UPI has significantly expanded financial inclusion, allowing even those without access to traditional banking services to participate in the formal economy. Utilizing secondary data the study examines the long-term relationships between UPI's digital impact (measured by UPI transaction volume, CPI, number of banks participating live on UPI), and GDP growth. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Unlocking Insights into Mental Well-Being: A Deep Learning Approach to Depression Detection
Depression, a prevalent global mental health disorder, poses significant challenges for timely diagnosis and effective intervention. Our research leverages the power of deep learning to develop a novel approach to depression detection, with the ultimate goal of enhancing early diagnosis and improving mental well-being. To evaluate the effectiveness of our method, we carried out an examination on a sizable dataset consisting of real-world data from individuals with and without diagnosed depression. The report discusses the performance metrics to examine the proposed technique effectiveness in depression detection. Additionally, this proposed work emphasizes the ethical and privacy considerations surrounding mental health data. The findings of this research indicate promising results in early depression detection, offering the potential to revolutionize mental health care by facilitating timely interventions. We discuss the implications of our approach in terms of supporting mental health professionals, improving mental health care accessibility, and addressing the pressing global mental health crisis. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Unlocking IoT: AI-enabled green fintech innovations
Meeting ESG (environmental, social, and governance) standards is becoming an essential goal for businesses, one that is supported by both investors and customers. FinTech can help companies evaluate and reduce their environmental effect, as well as investors channel their operations toward more sustainable assets. Embracing sustainability has become one of the priorities for many fintech companies today. Green fintech innovations have provided technologically enabled solutions for financial services that help in increasing the flow of financial resources for sustainable development. Recognizing the importance of green fintech in today's scenario, this chapter will initially focus on the components of the fintech ecosystem and IoT and AI-enabled fintech innovations in India, drivers of green fintech potentials of green fintech IoT, and AI-enabled green fintech from global perspective and has highlighted the green fintech solutions provided by the topmost companies. 2022, IGI Global. All rights reserved. -
Unlocking the Antimicrobial, Antifungal, and Anticancer Power of Chitosan-Stabilized Silver Nanoparticles
Silver nanoparticles (AgNPs) have become a research focus due to its antimicrobial, anticancer applications and cost-effective properties. In this study the effectiveness of green synthesis of NPs using biological macromolecule chitosan which isacting as a reducingcum stabilizing agent is carried out. An in-depth analysis of the synthesized AgNPs was conducted using a variety of sophisticatedcharacterization techniques such as UV-visible spectroscopy, particle size analysis, zeta potentialmeasurements, transmission electron microscopy (TEM), photoluminescence, and Fourier transform infrared (FTIR) spectroscopy. The antimicrobialactivity of the formulated AgNPs were inspected against two human pathogenic strains. In the antimicrobial activity, the synthesized AgNPs exhibited a reduction in the growth of both themicrobes. The minimum inhibitory concentration (MIC) of 1.22 M was observed for both Candida albicans and Mycobacterium smegmatis. Consequently, AgNPs may be used as an opportunity for modern-day antibiotics to treat infections due to human pathogens. Antiproliferative analysis revealed that AgNPs showed antiproliferative characteristics against MDA-MB-231 cells compared to the control. Such AgNPs have an anticancer effect and are likely to be used as smart drug delivery mediators to treat late-stage cancer. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Unlocking the future: A new era of artificial intelligence in efficiency, security, and intelligence with smarter systems
This chapter explores the transformative role of AI in reshaping critical domains such as health records, legal records, library and information management, and media services including communication, publishing, and broadcasting. This chapter examines AI applications inclusive of electronic health records optimization, predictive analytics, automated legal document review, personalized resource recommendation, and content generation in the media. It also addresses ethical concerns such as data privacy algorithmic bias and the implications of workforce transformation to real-world examples and case studies. This chapter highlights the current impact and future potential in streamlining operations, reducing human error, and improving outcomes. 2025, IGI Global Scientific Publishing. -
Unlocking the potential of AI for efficient governance: Innovative approaches of Bahrain
The rapid development and implementation of artificial intelligence (AI) technologies will have significant economic, social, and ethical impacts. Efficient governance is essential to maximize AI's benefits while minimizing its risks. Bahrain is positioning itself as a fintech hub, with AI playing a central role in this transformation. Bahrain's smart governance efforts will be strengthened by integrating AI into public services. E-government efforts will use AI to streamline processes, improve citizen experience, and build a more responsive and efficient public administration. The study provides an overview of how artificial intelligence (AI) is transforming various sectors in Bahrain with innovative approaches to boost productivity, better decision-making, and improve the general quality of services that may also impact the Bahraini economy. Bahrain continues to drive digital innovation, paving the way for a better and more prosperous future and sustainable development. Bahrain's digital transformation has been largely successful thanks to strong government measures. 2024, IGI Global. All rights reserved. -
Unlocking the potential of biosynthesized zinc oxide nanoparticles for degradation of synthetic organic dyes as wastewater pollutants
The azo dyes released into water from different industries are accumulating in the water bodies and bioaccumulating within living systems thereby affecting environmental health. This is a major concern in developing countries where stringent regulations are not followed for the discharge of industrial waste into water bodies. This has led to the accumulation of various pollutants including dyes. As these developing countries also face acute water shortages and due to the lack of cost-effective systems to remove these pollutants, it is essential to remove these toxic dyes from water bodies, eradicate dyes, or generate fewer toxic derivatives. The photocatalysis mechanism of degradation of azo dyes has gained importance due to its eco-friendly and non-toxic roles in the environment. The zinc nanoparticles act as photocatalysts in combination with plant extracts. Plant-based nanoparticles over the years have shown the potential to degrade dyes efficiently. This is carried out by adjusting the dye and nanoparticle concentrations and combinations of nanoparticles. Our review article considers increasing the efficiency of degradation of dyes using zinc oxide (ZnO) nanoparticles and understanding the photocatalytic mechanisms in the degradation of dyes and the toxic effects of these dyes and nanoparticles in different tropic levels. 2021 The Authors -
Unlocking the potentials of using nanotechnology to stabilize agriculture and food production
In the face of alarmingly increasing climate change, agricultural sector is exposed to innumerable and unprecedented challenges globally. This has led to food insecurity worldwide and in order to achieve the required food security at the global level, various methods and techniques have been put forth by researchers from around the world for boosting crop production and ensuring sustainability. Advanced nano-engineering is found to be of great import in improving production in agriculture and increasing input efficiency and minimization of losses. The fertilizers and pesticides, used for increasing and protecting the crop production respectively, can gain not only specific but also wider surface area with the help of nanomaterials, which serve as exclusive agrochemical carriers and assure facilitation of nutrients to target areas with the help of delivery monitoring techniques. Nanobiosensors, an example of the wide ranging nanotools, scaffold the growth of high-tech agricultural farms and also stand proof for the practical and proposed applications of the nanotools in terms of agricultural inputs control and their management precision. Nanosensors the off-spring of the culmination of biology and nanotechnology has an increased potential level in sensing and identifying both the advantageous and adverse conditions of the environment. The other applications of nano-technology include nanofertiliers with release-control techniques for healthy growth and rich yield and productivity of crops, nano-based target delivery approach, also referred to as gene transfer technique, for improved quality of crops, nanopesticides for effective protection of crops and other nanomaterials for promotion of stress tolerance among plants and enhancement of quality of soil [4]. In our review paper, we intend sum up the recent research and studies on the nanotechnology's innovative uses in agriculture to cope up with the ever-increasing necessity for food and sustenance of environment. 2021 Author(s). -
Unmanned Artificial Intelligence-Based Financial Volatility Prediction in International Stock Market
This study investigates the capacity of autonomous artificial intelligence to predict the volatility of the worldwide stock market and proposes an innovative approach utilizing cutting-edge AI algorithms. A comprehensive literature review examines the evolution of financial prediction systems and the transformative effects of artificial intelligence in improving predictive capabilities. The AI system under consideration employs machine learning techniques more effectively than traditional methods for collecting and predicting financial volatility. The strategy heavily relies on automated data capture, preprocessing, and model training. A recall of 76%, an accuracy rate of 94%, a precision of 81%, an area under the curve of 0.87, and a sharp ratio of 1.25 comprise the model's impressive specifications. This research illuminates the prospective financial applications of artificial intelligence and provides a way to navigate the intricacies of international stock markets. 2024 IEEE. -
Unmasking Fake Reviews: A Machine Learning Perspective
In the age of online shopping and digital information, product reviews play a crucial role in influencing consumer decisions. Fake product reviews are widespread and can mislead consumers, affect brand reputation, distort market dynamics and necessitate the development of robust techniques to identify and combat fake reviews, which is the focus of this project. The advent of machine learning has transformed several industries, and its capability to combat the issue of fake product reviews is equally significant. The problem is because of fake previews customers which are in huge confusion for not knowing what to believe. The goal is to develop a predictive model that can differentiate between authentic and fraudulent product reviews. In this project to detect fake product reviews, three preprocessing methods, two feature extraction techniques, and six classifications algorithms are used. In this proposed system, we acquired better accuracy 88.93% using SVM. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Unmasking the Masked: A Classical Machine Learning Pipeline for Detecting Forged Receipts
The abundance of digital and paper document forgery requires strong automated detection tools against financial fraud. This research provides a classical machine learning method for forged receipt detection using multimodal features from image and text modalities. The approach entailed designing a feature set to obtain textural and statistical attributes from receipt images via Local Binary Patterns (LBP) and Canny edge detection, along with structural features obtained from the associated text files. Another demanding issue in this area is the excessive class imbalance between genuine and forged documents. To overcome this issue, Synthetic Minority Over-sampling Technique (SMOTE) is used to create a balanced training dataset. The models are assessed using the macro F1-score, precision, recall, PR AUC and ROC AUC to address class imbalance. The enhanced detection of the minority class is achieved using SMOTE, while hyperparameter tuning leads to the improvements in performance. The final Tuned Support Vector Machine model achieves a macro F1-score of 0.5429, and it has the highest recall on forged receipts, demonstrating that it detects more histories of tampered documents effectively. This research sets a good baseline for receipt forgery detection and emphasizes that class imbalance solving is a key towards creating a working system. 2025 IEEE. -
Unmet Spiritual Needs: A Study among Patients with Chronic Illness
Objectives: The conventional healthcare system operates on the physiological man and overlooks the spiritual man. Many studies reported on the unmet spiritual needs of terminally ill patients. Despite spiritual care being a predictor of a positive mindset (meaning making) among patients with terminal illnesses, assessing spiritual needs and providing adequate spiritual care is still a distant phenomenon in the healthcare setting. Materials and Methods: With the help of a spiritual needs questionnaire, we analysed the unmet spiritual needs and preferences of 30 terminally ill patients. Specific attention was given to psychosocial, emotional, existential, religious and acceptance of death. Results: The results show that 72% of terminally ill patients reported a strong desire to have their spiritual needs met. Psychosocial needs scored the highest, while acceptance of dying scored the least. The need to be connected with the family was one of the strongest wishes expressed in the study. Religious needs ranked as the second category of needs. Findings show that the highest needs are intertwined with the patients culture. Conclusion: In India, religion and family connections are essential; terminally ill patients expressed the desire that meeting these two aspects makes their lives meaningful even at the end stage. The results warrant a spiritual needs assessment as a deathbed test to make the endoflife more meaningful. 2024 Published by Scientific Scholar on behalf of Indian Journal of Palliative Care. -
Unobtrusive Engagement Detection through Semantic Pose Estimation and Lightweight ResNet for an Online Class Environment
Analysing student engagement in a class through unobtrusive methods enhances the learning and teaching experience. During these pandemic times, where the classes are conducted online, it is imperative to efficiently estimate the engagement levels of individual students. Helping teachers to annotate and understand the significant learning rate of the students is critical and vital. To facilitate the analysis of estimating the engagement levels among students, this paper proposes a dual channel model to precisely detect the attention level of individual students in a classroom. Considering the possible inaccuracy of emotion recognition, a dual channel is configured with a Lightweight ResNet model for macro-level attention estimation and a 3d pose estimation using Euler angles for Pitch, yaw and roll that is trained, validated and tested on the Daisee database. The Emotional detection extracts the context of Engaged, frustrated, confused and disgust as higher levels of classroom attention cognition while the facial pose coordinates provide the real-time movement of the faces in the video to provide a series of engaged and disengaged coordinates. The Lightweight ResNet Model achieves a 95.5% accuracy and the Pose estimation test is able to distinguish the test videos at 92% as Engaged and Bored on the Daisee Dataset. The Overall Accuracies using the Dual channel was curated to 87%. 2023 Scrivener Publishing LLC.