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Exponential moving average - An algorithmic trading strategy /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.14-22, ISSN No: 2231-5985. -
Bollinger bands optimal algorithmic strategyinstock trading /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.37-45, ISSN No: 2231-5985. -
Technical analysis of equity shares /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.23-29, ISSN No: 2231-5985. -
Human capital accounting /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.30-36, ISSN No: 2231-5985. -
Exploring the impact of psychological biases on financial investment decisions and the role of digital financial literacy
This chapter explores biases impacting stock and mutual fund investments-cognitive, affective, and behavioral. It examines digital financial literacy (DFL), highlighting social media's role in information sharing. Stressing the merging financial and digital literacies, it addresses risks in online financial behavior. Discussions cover DFL measures, online activities' correlation, and biases in decision-making. Recognizing uncertainty in the digital era is crucial for informed financial decisions amidst evolving landscapes. 2024, IGI Global. All rights reserved. -
Implementing learner-centric approaches in high-density classrooms: A TEAMS-aligned hybrid model for management education
Learner-Centric Approaches (LCAs) are increasingly used in higher education to enhance engagement, critical thinking, and deeper learning. This chapter examines LCAs in a Bachelor of Business Administration (BBA) program at a large institution with class sizes of 80 students. To address challenges in personalized education, the program employs a hybrid model: large lectures for theory and smaller tutorial groups of 40 students for interactive LCAs. This approach balances personalized learning with logistical demands. The chapter evaluates the model's effectiveness through student outcomes, faculty adaptability, and engagement, while examining scalability and alignment with the TEAMS framework-Transparency, Empowerment, Attainability, Mentorship, and Sustainability. It offers practical insights for implementing scalable, learner-focused strategies in high-density classrooms. 2026, IGI Global Scientific Publishing. All rights reserved. -
Building inclusive workplace: Enhancing safety, security, and service quality to address workplace discrimination
This chapter examines the link between inclusivity, anti- discrimination efforts, and organizational performance through a study of IT employees from Northeast India, revealing workplace discrimination like racial stereotyping and exclusion. Such biases cause emotional distress, hinder career growth, and lower morale. Organizations must implement zero- tolerance policies, clear grievance mechanisms, and meritbased promotions to ensure fairness. Cross- cultural training fosters respect, breaks stereotypes, and strengthens team cohesion. Inclusive workplaces drive innovation, creativity, and productivity. Employees who feel valued contribute more effectively to organizational success. A holistic diversity strategy requires proactive leadership and continuous monitoring. Inclusivity is both an ethical imperative and a strategic asset for sustainable growth. 2026, IGI Global Scientific Publishing. All rights reserved. -
Development through ICT: A study on teachers perspectives on challenges in online education for tribal students amid COVID-19
Online education became an integral part of the education system during the COVID-19 pandemic. All the schools, colleges and universities adopted new technology in teaching-learning pedagogy. Academicians and students were taught to practice online education with many challenges and difficulties. The Constitution of India includes many beneficial provisions to promote the integral development of scheduled tribes. It enables them and protects them from socioeconomic status and forms of exploitation. In Kerala, the Scheduled Tribes Development Department is implementing various programs for the educational, social and economic development of Scheduled Tribes. Kerala is the most literate state in India. It creates a strong academic foundation at the school level. Even though the COVID-19 pandemic spread throughout the world, the government continued education in the state through the VICTERS educational television channel with the help of various ICT tools. This studys objective is to determine the challenges faced by tribal students in the Idukki District of Kerala State in online education and to understand the social and technological challenges they face in the learning process. An in-depth interview method was adopted for the study. This qualitative study explored the perspectives of teachers who teach tribal students. 2025 Malque Publishing. All rights reserved. -
Development through ICT: A study on teachers perspectives on challenges in online education for tribal students amid COVID-19
Online education became an integral part of the education system during the COVID-19 pandemic. All the schools, colleges and universities adopted new technology in teaching-learning pedagogy. Academicians and students were taught to practice online education with many challenges and difficulties. The Constitution of India includes many beneficial provisions to promote the integral development of scheduled tribes. It enables them and protects them from socioeconomic status and forms of exploitation. In Kerala, the Scheduled Tribes Development Department is implementing various programs for the educational, social and economic development of Scheduled Tribes. Kerala is the most literate state in India. It creates a strong academic foundation at the school level. Even though the COVID-19 pandemic spread throughout the world, the government continued education in the state through the VICTERS educational television channel with the help of various ICT tools. This studys objective is to determine the challenges faced by tribal students in the Idukki District of Kerala State in online education and to understand the social and technological challenges they face in the learning process. An in-depth interview method was adopted for the study. This qualitative study explored the perspectives of teachers who teach tribal students. 2025 Malque Publishing. All rights reserved. -
Enhancement of thermoelectric efficiency in vapor deposited Sb2Te3 and Sb1.8In0.2Te3 crystals
Crystal Research & Technology, Vol-49 (4), pp. 212-219. ISSN-0232-1300 -
Studies on sulfur doping and figure of merit in vapor grown Sb2Te3 platelet crystals
A series of p-type Sb2Te3-xSx(x=0, 0.1, 0.2, 0.3 and 0.4) samples for each sulfur composition was vapor deposited to explore the crystal growth mechanism of platelet morphology and to understand their potential use for thermoelectric devices. Structural characterization performed by X-ray diffraction exhibited consistent rhombohedral unit cell parameters for all the antimony telluride crystals with D3d5 space group symmetry. Scanning electron microscopy (SEM) and energy dispersive analysis by X-rays (EDAX) were employed for morphological and compositional studies. The Seebeck coefficient S (?c) of Sb2Te3-xSx crystals for sulfur composition, x=0.3 was remarkably improved, yielding a figure of merit (ZT)=0.54, which is ?2.5 fold rise compared to the melt grown Sb2Te3 crystals. The atomic force microscopic (AFM) imprints revealed that, with increasing content of dopant, distribution of etch pits and microhardness increased in sulfur doped crystals. By optimizing sulfur doping, the antisite (AS) defect formation can be suppressed for enhancing ZT and the results obtained enable to design novel thermoelectric materials for application in power generation and refrigeration. 2015 Elsevier B.V. All rights reserved. -
Enhancement of thermoelectric efficiency in vapor deposited Sb 2Te3 and Sb1.8In0.2Te3 crystals
Pure and indium doped antimony telluride (Sb2Te3) crystals find applications in high performance room temperature thermoelectric devices. Owing to the meagre physical properties exhibited on the cleavage faces of melt grown samples, an attempt was made to explore the thermoelectric parameters of p-type crystals grown by the physical vapor deposition (PVD) method. The crystal structure of the grown platelets (9 mm8 mm2 mm) was identified as rhombohedral by x-ray powder diffraction method. The energy dispersive analysis confirmed the elemental composition of the crystals. The electron microscopic and scanning probe image studies revealed that the crystals were grown by layer growth mechanism with low surface roughness. At room temperature (300 K), the values of Seebeck coefficient S (c) and power factor were observed to be higher for Sb1.8In0.2Te 3 crystals (155 ?VK-1, 2.669 10-3 W/mK2) than those of pure ones. Upon doping, the thermal conductivity ? (c) was decreased by 37.14% and thus thermoelectric efficiency was improved. The increased figure of merit, Z = 1.23 10-3 K -1 for vapour grown Sb1.8In0.2Te3 platelets indicates that it could be used as a potential thermoelectric candidate. Pure and indium doped antimony telluride (Sb2Te 3) crystals were grown by the physical vapor deposition (PVD) method. Incorporation of indium atoms into the antimony sub lattice improved Seebeck coefficient and reduced thermal conductivity. The increased figure of merit, Z = 1.23 10-3K-1 for vapor grown Sb 1.8In0.2Te3 platelets indicates that it could be used as a potential thermoelectric candidate. 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. -
Perovskite Photovoltaics: Basic to Advanced Concepts and Implementation
Perovskite Photovoltaics: Basic to Advanced Concepts and Implementation, Second Edition brings together the latest advances in perovskite photovoltaics, associated challenges and opportunities, and how to achieve further developments. This edition presents new topics and novel areas, including defect engineering, interface engineering, additive engineering, anti-solvents, single crystal perovskite solar cells, inorganic perovskites, optoelectronic characterization, and mathematical modeling of perovskite solar cells. In addition, the book contains a detailed analysis of the implementation and economic viability of perovskite solar cells, highlighting what photovoltaic devices need to be generated by low cost, non-toxic, earth abundant materials using environmentally-scalable processes. This book is a valuable resource for all those with an interest in perovskite solar cells, photovoltaics, and more broadly solar energy and renewable energy, including researchers, scientists, graduate students, engineers, R&D professionals, and other industry personnel. 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
Designing of a Human-Centric Autonomous Fish-Feeding Robot: Advancing Aquaculture Sustainability Through Enhanced HumanRobot Interaction
The increasing need for sustainable and efficient aquaculture practices due to rising global seafood consumption and challenges such as labor shortages, environmental degradation, and inefficiencies in manual feeding methods highlights the crucial requirement for an autonomous fish-feeding robot. Service robots are usually designed as a mechatronic design issue focused on implementing essential technological functions, frequently neglecting the significance of intuitive operation and usability. Using the double diamond design framework, this study details the development of a human-centered autonomous fish-feeding robot for fish farming. The goal was to make it more user-friendly and sustainable. The project began the discovery phase to gather insights into aquaculture difficulties and find potential for innovation in fish-feeding procedures. Around 38 small- and medium-sized fish farmers from Andhra Pradesh, Tamil Nadu, and Odisha were interviewed to gather their needs for fish farm feeding systems. In the Define phase, the focus shifted to developing a system that optimizes feeding efficiency while considering environmental factors and user requirements. During the development process, the team utilized iterative design and prototyping, incorporating modern technology such as AI for accurate feed distribution and sensors for evaluating water quality and fish health. User comments played a vital role in enhancing the robots usability and functionality. The Deliver phase concentrated on deploying the robot in simulation environments using ROS AND GAZEBO for the technical feasibility test, assessing its influence on operational efficiency and waste reduction, and advocating for sustainable aquaculture methods. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Moral Hazard in Capital Market: A Comprehensive Study
Moral hazard was originally a term used only in the field of insurance, but it has since entered capital markets, changing incentives and increasing systemic risk. This literature review confronts how information asymmetries, governance risk, and implicit guarantees create opportunism for managers, investors, and institutions. A systematic review of the existing literature that is reflected in 51 peer- reviewed articles reveals four themes: amplification of risk, misalignment of incentives, ethical governance, and institutional design. The review also identifies three major gaps: the neglect of the investor side, lack of consideration for the Corporate Social Responsibility (CSR) framework, and lack of methodological innovation. This paper calls on researchers from various disciplines to examine moral hazard to better develop the literature and construct a more robust market. 2026 by IGI Global Scientific Publishing. -
Leveraging AI for personalized customer experiences
This chapter discusses the disruptive nature of artificial intelligence in strategic brand management, particularly how it can enable a personalized engagement with customers. It considers just how AI allows for easy navigation of complex consumer data to deliver a tailored experience aligned with changing customer expectations. This chapter describes AI- driven tools such as machine learning, predictive analytics, and recommendation engines that enable brands to segment audiences in real- time, predict behaviors, and tailor content for higher resonance. Operational efficiency through AI is also detailed-how it can use chatbots in automating customer interactions and develop data- driven decisions that enhance responsiveness as well as customer satisfaction. In fact, the author touched upon the long- term effects that artificial intelligence will cause on loyalty and trust towards a brand, with the emphasis on the continued refinement of personalization strategies. 2025, IGI Global Scientific Publishing. All rights reserved. -
Machine learning approach for automatic solar panel direction by using nae bayes algorithm
The upsurge in fuel prices are pointing out the fact that, the deficiency of conventional form of natural resources and building dams can never fulfill the demand of the growing population and it is exponentially increasing the electricity demand. Electricity is a day-to-day component, which is utilized for lighting, running appliances, machines. Moreover a large number of people are now switching to electric cars. Henceforth, it is equally important to achieve self-sustainability in energy needs and also it is necessary to have an infinite energy source. Sustainable power is the solitary solution to resolve this issue. On the other hand, the Indian government is promoting solar technology a lot in the year 2021 by providing subsidies to a maximum limit of 65% for the installation of home solar projects and this encourages people to switch to electric vehicles to reduce the pollution. This article presents a machine learning based dual-axis solar tracker to enhance the energy harnessing efficiency. Furthermore, the proposed method utilizes Nae Bayes algorithm to develop a better solution for producing higher energy from the solar panel. The Nae Bayes algorithm is a type of machine learning algorithm, which has been used to predict the reliable direction. This proposed method generates higher electricity, when compared with the traditional method. The experimental results aim to fix the north east direction of solar panel that produces 17.4 watts per hour, wherein the proposed method produces 24.8 watts. It is indicated that, more than 25% additional power generation is obtained by using Nae Bayes algorithm method. 2021 IEEE. -
Gender as a Predictor in the Perception of Sexual Harassment Definition
Sexual harassment is a pervasive problem across the globe and it is generally viewed subjectively. The review of the literature suggests that individual perception, history of past sexual harassment and other personal factors influence beliefs concerning the seriousness of the problem. The present study aims to explore the role of socio demographic variables in the definition of sexual harassment. One hundred and sixty-one college students volunteered for this study. Personal profile sheet and Sexual Harassment Definition Questionnaire were used to collect the data. The results of the chi-square test suggested that girls and students who already experienced sexual harassment found larger social incidents as harassment. However, the results of logistic regression found gender as a strong predictor of sexual harassment definition and the history of past harassment was failed to provide a statistical significance. Educating men on male privilege, violence against women and identifying behaviours in them that are not acceptable by women will be helpful. The Electrochemical Society -
AGGRESSION AS A PREDICTOR OF GENERAL WELL-BEING AMONG PUBLIC HEALTH WORKERS
Social atrocities and discrimination make sanitary workers vulnerable to aggression which in turn disrupts their well-being. The issues concerning the psychological health of sanitary workers have been addressed less by researchers. The present study aimed to assess the level of aggression and general well-being among sanitary workers. An aggression questionnaire, consisting of four dimensions, namely physical aggression, verbal aggression, anger and hostility was used. The PGI general well-being measure and personal profile sheet consisting of socio-demographic details was given to 150 sanitary workers who were selected through purposive sampling method. The dimensions of aggression- anger and hostility were negatively correlated with the general well-being of the participants. Amongst the four dimensions of aggression, anger is found to be the predictor of general well-being. 2022 Australasian College of Health Service Management. All right reserved.