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Superior charge discharge ability of reduced graphene oxide/Li-ion embedded polymer composite films
Electroactive polymeric composites are recent generation material for energy application in lithium batteries, solar cells and supercapacitors. In present study, reduced graphene oxide is prepared from graphite powder using liquid exfoliation. The synthesized reduced graphene oxide is embedded with polystyrene sulfonic acid/lithium phosphate polymer electrolyte to obtain polymer composite films. The dielectric studies of composite reveals huge change in relaxation time with addition of rGO in polymeric lithium ion composites. This attributes to decrease in ion-dipolar interaction strength and enhanced polymer segmental motion in presence of carbon. It also implies the activation of electrochemical properties of polystyrene sulfonic acid/lithium phosphate/reduced graphene oxide (PLrGO) composites which can be effectively utilize for charge storage applications. The PLrGO composite exhibits an improved electrochemical performance with different scan rate on potential window ranged between ? 0.5 and 1.2V. The specific capacitance value of ~ 17F/g with high rate chargedischarge capability over 8000 cycles was observed. Higher electrochemical stability and steady charge/discharge behavior makes PLrGO composites a promising candidate for charge storage applications. 2018, Springer Science+Business Media, LLC, part of Springer Nature. -
Quantum mechanical and spectroscopic (FT-IR, FT-Raman,1H,13C NMR, UV-Vis) studies, NBO, NLO, HOMO, LUMO and Fukui function analysis of 5-Methoxy-1H-benzo[d]imidazole-2(3H)-thione by DFT studies
Theoretical analysis of the molecular structure, spectroscopic (FT-IR, FT-Raman, 1H, 13C NMR, UV-Vis) studies, and thermodynamic characteristics of 5-Methoxy-1H-benzo[d]imidazole-2(3H)-thione (5MBIT) molecule were done by DFT/B3LYP using 6-311++G(d, p) basis set. Theoretical parameters were compared with experimental data. The dipole moment (?), polarizability (??) and first order hyperpolarizability (?) of the molecule were calculated. Thermodynamic properties, HOMO and LUMO energies were determined. Global reactivity parameters and Fukui function of the 5MBIT molecule were predicted. 2016 Elsevier B.V. -
An Innovative Way of Trackable GDS in the Field of CC
It is important to provide security and efficient data exchange in cloud infrastructure and achieve traceability and anonymity of data. mean For high levels of safety and performance in one Anonymously, this article addresses the topic It allows data to be exchanged and stored between members of the same group in the cloud. Proposed arrangement creates unique and traceable group data sharing policies using group signatures and special agreements Strategies to accomplish these goals. this Facilitates anonymous communication between systems Public clouds have many users and. Real people following up when needed. Also, the system implements the main agreement programs to make it easier for team members to. Obtain a shared session key for secure data exchange and storage facilities. Basic generation processes a Symmetric Balanced Incomplete Block Theory (SBIBD), significantly reducing the workload of team members a shared session key must be introduced. In cloud computing contexts, the suggested system guarantees efficiency and security for group data sharing, as shown by theoretical analysis and experimental validation. 2024 IEEE. -
Synthesis, characterization and catalytic activity of oxovanadium(IV) complexes of heterocyclic acid hydrazones
Two acid hydrazones, furan-2-carbaldehyde nicotinic hydrazone (L1) and furan-2-carbaldehyde benzhydrazone (L2) have been synthesized and they are characterized by elemental analysis, IR, NMR and UV spectral analysis. Oxovanadium(IV) complexes of these two hydrazones were synthesized and characterized by elemental analysis, IR, UV, EPR, molar conductivity and magnetic susceptibility measurements. Conductivity measurements reveal that the complexes are non-electrolytes. Spectral data indicates the square pyramidal geometry for the monomeric five coordinated oxovanadium(IV) complexes with the general formula [VO(L)(OCH3)]. The complex was studied for its catalytic activity and was found to be a good catalyst in quinoxaline synthesis. -
Blockchain Technology: Applications and Challenges in Computer Science
In the growth of computer science blockchain technology has emerged as a disruptive force that is enhancing various area of software and the way data is managed, stored, and safeguarded. This essay offers a thorough examination of the uses and difficulties of blockchain technology in computer science. In this essay, blockchain technology has shown itself to be a game-changing innovation with numerous computer science applications. It has the enormous potential to completely transform sectors including finance, supply chain management, healthcare, voting systems, and IoT devices. The software technology is completely achieved with blockchain technology and the main security issue is solved with energy use and scalability. The new opportunities are examined and addressed with this innovation sector for creating effective solutions. 2023 EDP Sciences. All rights reserved. -
RETAIL INVESTORS PARTICIPATION IN INDIAN CORPORATE BOND MARKET: A CRITICAL STUDY
A developed and vibrant corporate bond market provides an important means of financial resources to corporate, in addition to bank financing. It brings transparency and prudence into financial system and helps in minimizing risks in financial system through diversification. The main objective of this study is to find out the various issues and hurdles faced by retail investors and come out with appropriate suggestions in this regard. A modest attempt has also been made to understand the present status of the Indian corporate bond market in reference to retail investors participation. The study reveals that, in spite of sincere efforts of policymakers, the participation of retail investors in Indian corporate bond market are negligible. It has also been observed that the important issues of retail investors are related to safety of principal, returns, liquidity and tax benefits. It is expected that the suggestions made in this paper, if implemented, will definitely helpful in attracting retail investors to Indian corporate bond market. 2024 Published by Faculty of Engineering. -
The impact of audit committee independence and competence on investors investment decision making: A study in the Indian context
This study examined the impact of an independent and competent audit committee on the decision-making process of investors in the Indian capital market and adopted a quantitative approach in which cross-sectional data are gathered with the help of a self-administered questionnaire survey. The selection of participants involves a stratified random sample technique, specifically targeting 441 regular investors associated with nine prominent brokerage houses in the Delhi NCR engaged in equity market investments. Descriptive analysis is applied to discern respondent characteristics, whereas correlation and regression analyses are utilised to test and elucidate the relationships and influences among variables in the model. The findings of this study, which indicate a notable correlation between investors' investment decision-making in India and the independence and competence of the audit committee, are in line with the expectation that independence and competence are essential attributes that the audit committee must possess. These characteristics, in turn, have a notable influence on investors' investment decisions. The outcome of this paper fills a gap in the literature by offering insights into the vital attributes of audit committee independence and competence that notably contribute to investment decision-making in India. This research examined the impact of an independent and competent audit committee on the decision-making process of investors in the Indian capital market, which has never been examined before. Thus, the findings shed light on the influence of board independence and competence on the decision-making process of investors in the Indian capital market. 2025, Malque Publishing. All rights reserved. -
On l(T, 1)-colouring of certain classes of graphs
For a given set T of non-negative integers including zero and a positive integer k, the L(T, 1)-Colouring of a graph G = (V, E) is a function c: V(G) ? {0, 0, , k} such that |c(u) ? c(v)| ? T if the distance between u and v is 1 and |c(u) ? c(v)| ? 0 whenever u and v are at distance 2. The L(T,1)-span, ?T,1(G) is the smallest positive integer k such that G admits an L(T, 1)-Colouring. In this article we initiate a study of this concept of L(T, 1)-Colouring by determining the value of ?T,1(G) for some classes of graphs and present algorithms to obtain the L(T, 1)-Colouring of paths and stars. 2020 IJSTR. -
L(t, 1)-colouring of graphs
One of the most famous applications of Graph Theory is in the field of Channel Assignment Problems. There are varieties of graph colouring concepts that are used for different requirements of frequency assignments in communication channels. We introduce here L(t, 1)-colouring of graphs. This has its foundation in T-colouring and L(p, q)-colouring. For a given finite set T including zero, an L(t, 1)-colouring of a graph G is an assignment of non-negative integers to the vertices of G such that the difference between the colours of adjacent vertices must not belong to the set T and the colours of vertices that are at distance two must be distinct. The variable t in L(t, 1) denotes the elements of the set T. For a graph G, the L(t, 1)-span of G is the minimum of the highest colour used to colour the vertices of a graph out of all the possible L(t, 1)-colourings. It is denoted by ?t,1(G). We study some properties of L(t, 1)-colouring. We also find upper bounds of ?t,1(G) of stars and multipartite graphs. I??k University, Department of Mathematics, 2022; all rights reserved. -
Role of Need for Achievement on Decision making and Life Orientation of Young Adults
Purpose-To assess the role of need for achievement on decision making and life orientation of young adults. Design/methodology/approach-The data was collected from the participants using a questionnaire. The sample size is 100 young adults. The sampling technique used is convenience sampling, and the research design is a cross-sectional survey. It was hypothesised that individuals high in achievement motivation will also be high in life orientation level and there will be a positive correlation between achievement motivation and decision making. Findings The results of the study indicate that an individual high in achievement motivation will also be high in life orientation level and a positive correlation is found between achievement motivation and decision making. The other findings are that optimising decision-making styles is positively correlated with achievement motivation and a significant difference in achievement motivation between males and females is found, indicating a higher need for achievement in females as compared to males. Social Implications-The findings of the study are considerable with respect to the personal, professional, and educational development of young adults. As the research suggests, there is a positive relationship between decision-making styles, achievement motivation, and orientation towards life. Therefore, various decision-making styles can be introduced in the behavioural sciences subject domain. Higher achievement needs in females indicate their potential in various professional realms, and such platforms, if provided, can increase women's participation in the workforce, resulting in economic, social, and personal development for women as well as society. Originality/ Value The youth of a country are its greatest assets, and for an aspirational country, there is a need for a highly motivated task force. The research topic focuses on how motivated behaviour occupies a central position in personality and its relationship with decision-making style and orientation towards life. This study focuses on the need of the hour, which is harnessing our youth and exploring more about the achievement-oriented behaviour and optimistic outlook of young adults, which is the demographic dividend of the country. 2022 RESTORATIVE JUSTICE FOR ALL. -
Advancing Road Safety through Driver Drowsiness Detection Using Deep Learning Model
Driver drowsiness poses a significant threat to public safety, contributing to numerous road accidents and fatalities annually. Drowsy drivers exhibit characteristic changes in facial expressions and behaviors, including eye closure, head nodding, and yawning. These indicators can be detected through various techniques, including image processing, computer vision, and machine learning. This research investigates a promising approach: utilizing a ResNet-101 deep convolutional neural network (CNN) for driver drowsiness detection based on eye, head, and mouth states. The model was trained on a vast dataset of 2.2 million images, covering diverse driving conditions. Despite achieving a 69% accuracy, suggesting real-world potential, computational limitations restricted training to only a quarter of the data. This necessitates further research with larger datasets and increased resources to enhance accuracy and robustness. 2024 IEEE. -
Mental Workload Estimation Using EEG
Mental workload contributes considerably to the outcome or the performance of any task. The concern of human workload increases during a human-machine collaboration task or in a multitasking environment. This paper presents a comparative study of machine learning algorithms used to estimate workload using Electroencephalography (EEG) data. An open-access EEG dataset acquired during a 'simultaneous capacity (SIMKAP) experiment' and 'no task' is used to create and validate models for binary classification of workload as present and absent respectively. The paper presents an implementation of various classification models that use EEG data to predict the workload. In this paper, implementation for KNN classifier (57.3%), Random Forest classifier (57.19%), MLP network classifier (58.2%), CNN+ LSTM network classifier (58.68%), and LSTM network classifier (61.08%) has been reported. The paper can be further extended to study operator workload in real-time using a brain-computer interface paradigm for any kind of task in a real-world application. The workload classification can be further used in human-machine tasks to decide task allocation between the system to achieve optimal performance in a complex critical system. 2020 IEEE. -
Impact of Homophily on Patient Empowerment: A Study of Online Patient Support Groups
Internet facility has led to emergence of patient support groups. These have gained prominence as these fulfils important benefits to patients. One such benefit is patient empowerment. These online groups provide opportunity to patients to interact with similar ailments and predicaments and who can understand the pain and discomfort felt by the patient. This provides validation for the patient and patients experiences. How does this homophily impacts patient empowerment? This question has been explored in this study. The methodology is based on an online survey of patients visiting such online platforms. In all 701 patients provided the data. Independent variable (homophily) and dependent variable (patient empowerment) have been measured using a 7-point Likert scale. Findings provide that both are weakly correlated, but this correlation is significant. Regression analysis led to a regression model that is fit statistically. This provides basis to encourage patients to visit online support groups. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Impact of Perceived Social Support on Patient Empowerment: A Study of Online Patient Support Groups
Disease-specific online patient support groups have emerged predominantly in last 30years, and these are being visited by a large number of patents. These platforms obviously bring important benefits to the patients visiting them. An important variable is the perceived social support that patients feel they derive while interacting with healthcare providers and fellow patients over there. Patient empowerment is another variable, and which has been found to be a critical factor in overall well-being of patients. How does the perceived social support felt by patients visiting an online patient support group impact their perceived empowerment? This paper explores this question. Research design is associative, and for which the data has been procured online from the patients visiting online patient support groups. The questionnaire comprises of an independent variable (perceived social support) and a dependent variable (patient empowerment). Validated scales have been used. For analysis, a factor analysis was undertaken to reconfirm the validity of the scales. Thereafter, regression equation has been developed to measure the impact. Results show that the model obtained passes the fitness and the independent variable has a significant positive association with patient empowerment. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
The transformative potential of artificial intelligence in building sustainable agricultural systems: Innovations, challenges, and future directions
Artificial Intelligence is revolutionizing agricultural practices by enhancing efficiency, productivity, and sustainability. Through precision agriculture, AI enables data-driven decision-making, optimizing resource use, crop management, and yield prediction. Innovations such as machine learning algorithms and IoT integration facilitate real-time monitoring of soil, weather patterns, and pest control. These technologies address critical challenges like food security and environmental conservation. However, the adoption of AI in agriculture faces obstacles, including high implementation costs, data privacy, and limited access to technology. Future directions involve advancing AI capabilities to support climate-resilient farming, promoting digital inclusion, and developing policy frameworks to address socioeconomic concerns. By leveraging AI, agriculture can transition toward sustainable practices, ensuring food security while minimizing environmental impact. In light of the above perspective, this chapter highlights AI's potential to transform agriculture amidst ongoing challenges. 2025, IGI Global Scientific Publishing. All rights reserved. -
Bridging SDG4 With Innovation for Quality Education: A Way Foreward
Sustainable Development Goal 4 (SDG4) aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. However, achieving this ambitious goal requires more than traditional approaches. Innovation plays a crucial role in bridging the gap between the current state of education and the ambitious targets set by SDG4. It can transform teaching and learning practices, improve access to education, and enhance the relevance and quality of educational outcomes. While innovation holds immense promise for achieving SDG4, there are also challenges that need to be addressed. By embracing technology, fostering pedagogical innovation, and creating supportive policies, one can transform education systems and ensure that all learners have access to quality education and lifelong learning opportunities. This chapter delves into the intersection of SDG4 and innovation, examining how technology and policy can be leveraged to enhance the quality of education and promote digital learning. 2026, IGI Global Scientific Publishing. All rights reserved. -
Transformative Artificial Intelligence for Sustainable Supply Chains: Optimizing Green Logistics and Circular Economy
Artificial intelligence (AI) is revolutionizing supply chain management by providing ways to improve operational effectiveness and sustainability. In supply chain operations, businesses can decrease waste, and lower carbon footprints by utilizing machine learning, predictive analytics, and decision- making. As environmental concerns grow, industries are using AI technologies more and more to improve supply chains' sustainability, efficiency, and transparency. AI greatly enhances distribution and transportation networks by assisting with fuel efficiency, route planning, and emission monitoring via green logistics. Furthermore, by making it easier to reuse, recycle, and remanufacture things, AI advances circular economy models. It helps companies make the shift from linear to circular production systems by forecasting product lifecycle stages and controlling material flows. Keeping in view the above, this chapter analyzes the critical role of AI in shaping future supply chains, where economic performance aligns with environmental stewardship, fostering a more sustainable global economy. 2026, IGI Global Scientific Publishing. -
Navigating the Ethico-Legal Landscape of Blockchain in Healthcare: A Critical Analysis
Blockchain technology offers improved data security, interoperability, and patient empowerment, which could revolutionize the healthcare industry. Its incorporation, however, calls for thorough evaluation of the complicated legal and ethical issues. The global pandemic has exposed the current healthcare system's lack of interoperability and the requirement for reliable clinical data that can be efficiently and securely disseminated to healthcare providers on a large scale. This analysis explores important issues such as algorithmic bias, informed consent, data privacy and ownership, and legal barriers. It looks at current regulatory frameworks and new best practices for using blockchain responsibly in the healthcare industry, highlighting the necessity of stakeholder collaboration to guarantee safe, reliable, and equitable healthcare systems. In light of the above perspective, this chapter explores the ethical and legal implications of blockchain in the healthcare sector. It critically overviews the current laws and regulations in force to implement blockchain in healthcare. 2026, IGI Global Scientific Publishing. All rights reserved. -
Integrating Sustainability with Financial Markets: Risk, Return, and Responsibility
This chapter explores the burgeoning field of green finance and its crucial role in aligning financial markets with sustainable development objectives. It examines how incorporating environmental, social, and governance (ESG) factors influences traditional risk and return profiles, presenting both opportunities and challenges for investors and financial institutions. We delve into innovative financial instruments and strategies designed to mobilize capital towards environmentally sound and socially responsible projects. Furthermore, the chapter critically analyzes the evolving concept of fiduciary responsibility in the context of sustainability, arguing forabroaderinterpretationthatencompasseslong-termvaluecreationandplanetary well-being.Bybridgingthegapbetweenfinancialimperativesandsustainabilitygoals, this chapter underscores the transformative potential of integrating responsibility into the core of financial decision-making for a more resilient and equitable future. Copyright 2026, IGI Global Scientific Publishing. -
Agroecological transformation through farmers' empowerment and IP reform: A human rights-based approach
The transition to agroecology is essential for achieving sustainable food systems, biodiversity conservation, and climate resilience. However, dominant intellectual property (IP) regimes often marginalize small-scale farmers by restricting seed sovereignty and traditional knowledge systems. By recognizing farmers' rights to seeds, knowledge, and fair market access, IP policies can shift from corporate-driven monopolization to collective stewardship models. The chapter advocates for a multi-stakeholder approach that integrates legal, economic, and ecological dimensions, ensuring that farmers' empowerment is at the core of agroecological transitions. By embedding human rights in IP governance, policymakers can foster more just, resilient, and biodiversity-rich food systems, ultimately advancing the global movement for agroecological transformation. This chapter argues that a human rights-based approach to IP reform can empower farmers as key agents of agroecological transformation. 2025, IGI Global Scientific Publishing. All rights reserved.