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CSR as an agent of financial stability: A use case of banking industry
The study was undertaken to examine the importance of corporate social responsibility (CSR) as an agent to improve the firm's performance and financial stability by enhancing goodwill and competitive advantage in the Indian banking industry. In the study, it has been hypothesized that CSR expenses have a positive relationship with financial stability. A correlation study has also been undertaken to determine any relationship among these variables, followed by a dependency regression test to show the levels of dependency of financial stability on CSR expenses and the Granger Causality test to find their causal relationship. The study has revealed a significant relationship between the financial stability variables and CSR expenses, and the Granger Causality level supports the findings. 2021 Ecological Society of India. All rights reserved. -
An effective face recognition system based on Cloud based IoT with a deep learning model
As of late, the Internet of Things (IoT) innovation has been utilized in applications, for example, transportation, medical care, video observation, and so on. The quick appropriation and development of IoT in these segments are producing an enormous measure of information. For instance, IoT gadgets, for example, cameras produce various pictures when utilized in medical clinic reconnaissance sees. Here, face acknowledgement is one of the most significant instruments that can be utilized for clinic affirmations, enthusiastic discovery, and identification of patients, location of fake gadgets. patient, and test clinic models. Programmed and shrewd face acknowledgement frameworks are profoundly precise in an overseen climate; notwithstanding, they are less exact in an unmanaged climate. Additionally, frameworks must keep on running on numerous occasions in different applications, for example, insightful wellbeing. This work presents a tree-based profound framework for programmed face acknowledgement in a cloud climate. The inside and out pattern have been proposed to cost less for the PC without focusing on unwavering quality. In the model, the additional size is isolated into a few sections, and a stick is made for each part. The tree is characterized by its branch area and stature. The branches are spoken to by a leftover capacity, which comprises of a twofold layer, a stack game plan, and a non-direct capacity. The proposed technique is assessed in an assortment of generally accessible information bases. An examination of the method is likewise finished with top to bottom craftsmanship models for the eye to eye connection. The aftereffects of the tests indicated that the example was considered to have accomplished a precision of 98.65%, 99.19%, and 95.84%. 2020 -
BEYOND SCREENS: A PSYCHO-THERAPEUTIC INTERVENTION FOR ADOLESCENTS SUFFERING FROM INTERNET GAMING ADDICTION
The Diagnostic and Statistical Manual of Mental Disorders (DSM 5) has now included Internet Gaming disorder in section III as the condition that warrants more clinical research. Internet or Online gaming has become one of the most popular sources of entertainment among children and adolescents, representing the fastest-growing segment leading to hazards as well. Thus, there is a requirement for a psycho-therapeutic intervention module to help in overall psychological well-being of the adolescents suffering from Internet Gaming Disorder (IGD). A total of 8 adolescents suffering from IGD were treated with scientifically prepared psycho-therapeutic module in total of 12 group sessions. The eclectic approach to treatment is proven to be effective for adolescents yielding significant improvement in the clinical condition and promotes wise engagement in gaming. (2023). All Rights Reserved. -
Investigating Personalized Learning Paths to Address Educational Disparities Using Advanced Artificial Intelligence Systems
This innovative study reimagines the role of Natural Language Processing (NLP) in individualized education by highlighting the critical need to incorporate cultural subtleties. While natural language processing (NLP) offers great potential for improving classroom instruction, current research frequently fails to account for the complex issues caused by cultural variation. This research fills a significant need by providing a novel framework for the detection and incorporation of cultural subtleties into individualized learning programs. Further research into common biases is driving the development of natural language processing models with greater cultural sensitivity and awareness, such as gender bias in Named Entity Recognition (NER) and sentiment bias in cultural preferences. In order to correct past biases and promote gender neutrality in educational content, the research makes use of an adaptive NER algorithm and a diverse training dataset. Similarly, to guarantee nuanced and fair sentiment evaluations, the study suggests regularly evaluating and retraining sentiment algorithms with datasets that represent multiple cultures. A Cultural Relevance Score of 0.9, Adaptive Content Embedding vectors [0.3, 0.6, -0.2.], and an impressive Cosine Similarity of 0.85 are some of the evaluation measures that highlight the effectiveness of the research. These measurements show encouraging gains, which confirms that the research might help make schools more welcoming and sensitive to different cultures. The research has the potential to revolutionize individualized education by making it more accessible and engagingfor students from all backgrounds. 2024 IEEE. -
Applications of artificial intelligence in Echo Global Logistics
Echo Global Logistics is a premier provider of business process outsourcing, using technology to meet its clients logistics and transportation needs. They deliver substantial transportation savings to clients while providing top-tier service, thanks to state-of-the-art web-based technologies, dedicated service teams, and significant purchasing power. The most significant business risk in 2023 will be supply chain interruptions, which can impact cash flow, growth, and shareholder value. Echo Global Logistics has introduced an innovative self-service website called Echo Ship, designed for shippers of less-than-truckload (LTL) shipments. Echo Ship simplifies LTL shipping with excellent visibility, outstanding functionality, and a quick, user-friendly design. Logistics is evolving at Echo Global Logistics, with patented technology incorporating the latest developments in the most flexible and reliable transport management system (TMS) currently available. This TMS is developed using Artificial Intelligence (AI), machine learning, and complex load-matching algorithms. Echos unique software is user-friendly, adaptable, and highly scalable, addressing the evolving needs of carriers and shippers regarding transportation management, enabling customers to move their goods swiftly, securely, and affordably. A transportation management company leverages AI to provide supply chain solutions that optimize transportation and logistics needs. The list of services also encompasses executive dashboard presentations, rate negotiation, transportation procurement, shipment execution and tracking, carrier management, carrier selection, reporting, compliance, and comprehensive shipment reports, Over the next five years, supply chain companies anticipate a twofold increase in the use of machine automation in their operations. Similarly, there is a projected 40% compound annual growth rate (CAGR) over the next seven years, going from $1.67 billion in 2018 to $12.44 billion in 2024. Supply chain executives are often time-constrained, making it challenging to attend numerous meetings for solution implementation. Actionable insights from integrated AI tools can remove bottlenecks and unlock real-time value. This is vital because supply chain businesses require more action rather than excessive analysis. This chapter delves into the AI and supply chain practices at Echo Global Logistics, illustrating how AI-based solutions reduce costs, enhance supply chains, boost productivity, and improve service quality. It aims to determine whether the company can transform its products and services, creating new value propositions for Echo Global Logistics customers with the aid of AI. 2024 by Elsevier Inc. All rights reserved, including those for text and data mining, AI training, and similar technologies. -
Green Innovation for Sustainable Development
In recent years, organisations have notably taken up Green Innovation for sustainable development to maintain the customer base and keep the natural environment safe. Consumers are aware of the current environmental issues, such as global warming and the consequence of environmental pollution. As a result, organisations are demanding to craft green strategies and embryonic to advance holistic methods towards maximising shareholders' values. This paper attempts to provide valuable insights into the going green concepts and their association with the value creation in the automobile industry regarding the e-vehicle by examining the effects of green innovations in Mahindra Electric Mobility Limited, India towards the launching of Mahindra e2oPlus on the Reva platform. Furthermore, the authors analyse the performance of this innovation on the organisational financial performance with the help of event study methodology. 2022 IET Conference Proceedings. All rights reserved. -
Strategic Integration of HR, Organizational Management, Big Data, IoT, and AI: A Comprehensive Framework for Future-Ready Enterprises
This exploration paper proposes a comprehensive frame aimed at fostering unborn-ready enterprises through the strategic integration of Human coffers(HR), Organizational Management, Big Data, the Internet of Things (IoT), and Artificial Intelligence(AI). By synthesizing these critical factors, the frame seeks to optimize organizational effectiveness, enhance decision-making processes, and acclimatize proactively to evolving request dynamics. Through a methodical review of being literature and empirical substantiation, the paper delineates the interconnectedness of these rudiments and elucidates their collaborative impact on organizational performance and dexterity. likewise, it explores perpetration strategies and implicit challenges associated with espousing such an intertwined approach. This paper not only contributes to the theoretical understanding of strategic operation but also provides practical perceptivity for directors and directors seeking to navigate the complications of the contemporary business geography and place their associations for sustained success in a decreasingly digitized and competitive terrain. 2024 IEEE. -
ASSESSMENT OF WATER QUALITY IMPACTS ON CROP PRODUCTIVITY IN SALINE SOILS: INTEGRATING HYDRO CHEMICAL ANALYSIS AND CROP PERFORMANCE
This study aims to address the effect of water quality on crop productivity on saline soils. Water quality parameters to be studied include salinity level, pH, oxygen concentration, nutrient, and heavy metal level. The study will particularly focus on irrigation water sources that are situated in regions characterised by saline soils. Moreover, there are intended growth experiments for the evaluation of various specific crops such as rice, wheat or maize with different levels of water quality. The study will incorporate sophisticated analytical tools including ion chromatography, atomic absorption spectroscopy (AAS), and electric field mapping (EMI) to shed light on the current water quality and soil conditions of the selected area. The experiments that we plan to conduct will involve studying the growth parameters, yield, water use efficiency and the percentage of uptake of nutrients under several water quality scenarios. The data collected in this work will ascertain the link between the values of water quality parameters, soil salinity extent and productivity of crops and will provide the basis for the creation of innovative saline soil agriculture irrigation management practices. 2024, Scibulcom Ltd.. All rights reserved. -
Atman's awakening: Bhagavad Gita's Path to Moksha through Karma Yoga and Atmabodha
Indian psychology is characterized by its diverse and rich traditions that have evolved over several centuries. This chapter tries to fulfill four objectives: 1) To provide a brief overview of the concept of self in Bhagavad Gita; 2) to give a brief overview of the two frameworks for moksha given in the Bhagavad Gita with the help of empirical evidence of current research; 3) to propose a conceptual model using Triguna Framework and Trimarg Framework; and 4) to provide the implications of the proposed model. The chapter begins with an explanation of the Indian philosophical understanding of self from the lens of Bhagavad Gita. In the second section, an effort has been made to compare and contrast the two frameworks given in Bhagavad Gita for Moksha. The last section introduces a conceptual model to enhance sattva guna and reduce the rajas and tamas gunas to attain atmabodha that can have positive psychological implications in modern times. 2024, IGI Global. All rights reserved. -
Exploring perceptions of psychology students in Delhi-NCR Region towards using mental health apps to promote resilience: a qualitative study
Background: Mental health apps (MHapps) have the potential to become an essential constituent for addressing mental health disparities and influencing the psychological outcomes of students in India. Though lauded as a practical approach to preventing various mental health issues, there are concerns that developing and utilizing MHapps standardized on Western populations produce ineffective results for the natives of Asian countries such as India due to a wide range of cultural differences. This research was conducted on psychology students living in the Delhi-NCR region of the Indian subcontinent. The study explored psychology students perceptions, needs, and preferences regarding mental health apps that promote resilience, identified barriers and facilitators for developing effective mental health apps, and explored the cultural relevance of the development of MHapps in India. Methods: This was an exploratory study utilizing focus group discussions among psychology students. Psychology students were sampled using snowball sampling from Delhi-NCR region colleges to participate in FGDs. We conducted six focus groups, which included a representation of 30 psychology students from full-time UG/PG courses. The study used a reflexive thematic analysis framework using the six-step Braun and Clarke process to develop themes. Results: Psychology students valued MHapps for their easy accessibility, 24*7 functionality, affordable costs, highly engaging features, and the option of being anonymous. However, students preferred the apps based on established psychological frameworks with strong empirical evidence and the availability of remote mental health professionals with relevant qualifications and training. The main barriers to using MHapps identified by students included difficulties in differentiating between real and fake MHapps, lack of progress tracking of the users due to minimal human interactions, and ethical and data privacy concerns. Students also emphasized the cultural relevance of MHapps. The interpretation of our findings indicates that students demanded transparency regarding the authenticity of MHapps. Conclusion: The findings of this exploratory investigation offer a better understanding of how college students perceive the usage of MHapps to improve resilience. This study highlights that further research should explore the specific needs and preferences of university students for developing and implementing effective MHapps for different contexts. The Author(s) 2024. -
Navigating the dynamic interplay of fear of failure and social cognition in the digital era
This chapter delves into the intricate relationship between fear of failure and our ability to perceive, interpret, and respond to social cues (i.e., social cognition). This chapter will examine the theoretical foundations of fear of failure and how it manifests across cognitive, emotional, behavioral, and social dimensions. Drawing from empirical research, it will provide real-world insights into how this fear can profoundly affect social interactions. The chapter highlights interventions, such as CBT and mindfulness practices, designed to address the fear of failure and enhance social cognition. It will further explore the dynamic interplay between fear of failure, social cognition, and the evolving landscape of online interventions. As the digital realm shapes our social interactions, understanding how fear of failure influences social cognition in the online context and how online interventions can mitigate its impact is of paramount importance. This chapter seeks to present a thorough summary of these interconnected variables. 2024, IGI Global. -
Design of Triple Tuned Passive Harmonic Power Filter - A Novel Approach
Nowadays, there is a race between active and passive harmonic filters and still ambiguity persists. It is a proven fact that active harmonic filters (AHFs) are costly solutions though have proved better than passive harmonic filters. Except sizing and resonance problems, tuned passive harmonic filters (TPHFs) are proved to give economical solutions with little compromise on their performance. The accurate design of TPHFs gives a greater impact on its performance. The triple-TPHF (TTPHF) is essential to alleviate first three dominant ac side current harmonics simultaneously at the high voltage direct current (HVdc) converters and it is proved better than the single and double TPHFs. Existing equivalent methods of TTPHF design failed to give satisfactory performance under dynamic conditions. Hence, this article introduces a novel parametric method-based design of TTPHF, which will give better performance under static and dynamic loading conditions. The results also reveal that the proposed TTPHF design method will perform better than the existing methods. 2021 IEEE. -
Exploring How Gender and Culture Shape the Lived Experiences of Indian Clients with Emotional Abuse: A Social Justice Approach to Counselling
In this study, we have carried out an in-depth, idiographic exploration of how Indian clients describe their experiences of emotional abuse in a parent-adult child context from a social justice lens. This study focused on the contribution of persisting systemic influences, including gender and culture, in maintaining emotional abuse. We collected data from seven participants through a semi-structured interview schedule, and utilized an interpretative phenomenological analysis for the research design and analysis. Findings indicatedvarious cultural and gender norms were responsible for contributing to and maintaining emotional abuse. The five master themes developed included Unmet Emotional Needs, Mental Health Issues due to Impact of Emotional Abuse, Gender and Culture Norms as Backgrounded, Unfair and Oppressive Norms and Attitudes, and Intergenerational Nature of Norms, Beliefs, and Abuse. Implications for counsellors, policymakers, and researchers in the fields of counselling and psychotherapy, social justice, social psychology, and critical psychology are discussed. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Facile synthesis of Bi2WO6-NiO nanocomposite for supercapacitor application
In order to prepare for future high-power storage-related applications, a tremendous amount of studies have been conducted on the manufacturing of high-performance supercapacitor electrodes. The hydrothermal technique was used to synthesize Bi2WO6NiO nanocomposite (NC), which was examined using FTIR, XRD, HR-TEM, EDX, FESEM, and XPS techniques. Furthermore, the Bi2WO6-NiO NC performs with an elevated specific capacity of 398.2C/g at 10 mV/s. The charge transfer resistance (Rct) and solution resistance (Rs) of Bi2WO6-NiO NC were determined as 0.81 and 0.23 ? using electrochemical impedance spectra (EIS). Bi2WO6-NiO NC extended the chargedischarge time and rate capacities, as shown by the galvanostatic chargedischarge (GCD) analysis. Even after 2000 cycles, Bi2WO6-NiO NC cyclic stability was superior with a capacitive retention of 89.3 %. A power density of 6750 W/kg resulted from the constructed asymmetric supercapacitor (ASC) device based on Bi2WO6-NiO/AC, exhibiting an energy density of 32.5 Wh/kg. Additionally, the ASC maintains high cyclic stability with 90.8 % of initial capacity, even after 2000 chargedischarge cycles in a row. 2024 Elsevier B.V. -
Genetic Algorithms for Graph Theoretic Problems
[No abstract available] -
Algorithms for the metric dimension of a simple graph
Let G = (V, E) be a connected, simple graph with n vertices and m edges. Let v1, v2 $$\in$$ V, d(v1, v2) is the number of edges in the shortest path from v1 to v2. A vertex v is said to distinguish two vertices x and y if d(v, x) and d(v, y) are different. D(v) as the set of all vertex pairs which are distinguished by v. A subset of V, S is a metric generator of the graph G if every pair of vertices from V is distinguished by some element of S. Trivially, the whole vertex set V is a metric generator of G. A metric generator with minimum cardinality is called a metric basis of the graph G. The cardinality of metric basis is called the metric dimension of G. In this paper, we develop algorithms to find the metric dimension and a metric basis of a simple graph. These algorithms have the worst-case complexity of O(nm). The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Parallel Algorithm to find Integer k where a given Well-Distributed Graph is k-Metric Dimensional
Networks are very important in the world. In signal processing, the towers are modeled as nodes (vertices) and if two towers communicate, then they have an arc (edge) between them or precisely, they are adjacent. The least number of nodes in a network that can uniquely locate every node in the network is known in the network theory as the resolving set of a network. One of the properties that is used in determining the resolving set is the distance between the nodes. Two nodes are at a distance one if there is a single arc can link them whereas the distance between any two random nodes in the network is the least number of distinct arcs that can link them. We propose two algorithms in this paper with the proofs of correctness. The first one is in lines with the BFS that find distance between a designated node to every other node in the network. This algorithm runs in O(log n). The second algorithm is to identify the integer k, such that the given graph is k-metric dimensional. This can be implemented in O(log n) time with O(n2) processors in a CRCW PRAM. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Patients trust in the Indian healthcare system and its impact on the intention to use artificial intelligence-based healthcare chatbots
Purpose: Indian patients have different medicine systems available at the service that alter their healthseeking behaviour (HSB). This study aims to examine the beliefs and behaviour of patients in India towards the healthcare system and how it affects their intention to use healthcare chatbots. Design/methodology/approach: A survey instrument was developed from standard scales and validated by experts. The data was collected from 397 respondents in an urban area and tested using a structural equation model in SAS JMP software. Findings: The study found that awareness and perception of chatbots and distrust on doctors and health systems impact trust in a chatbot. The results show that trust in chatbots influences the intention to use chatbots. The belief in alternative medicine systems and HSB also influence the intention to use chatbots. The study findings also imply that health-care chatbots should cater to HSB and the belief in alternative medicine. Research limitations/implications: The study was conducted only among the urban population because services based on technology are more available in metro cities. Bengaluru is considered the representative population of urban India. Practical implications: The level of disruption that chatbots can provide to the healthcare system makes this study significant. The study findings will help to manage the factors that can enable chatbot inclusivity, as the current system is inaccessible to many patients. Originality/value: This paper addresses an identified need to study patients trust in the Indian healthcare system and their intention to use chatbots. The level of disruptions these chatbots can cause in the health-care system is undeniable and patients trust in these chatbots will eventually transform the health-care sector. 2024, Emerald Publishing Limited. -
An Overview of Augmenting AI Application in Healthcare
Artificial intelligence (AI) is showing a paradigm shift in all spheres of the world by mimicking human cognitive behavior. The application of AI in healthcare is noteworthy because of availability of voluminous data and mushrooming analytics techniques. The various applications of AI, especially, machine learning and neural networks are used across different areas in the healthcare industry. Healthcare disruptors are leveraging this opportunity and are innovating in various fields such as drug discovery, robotic surgery, medical imaging, and the like. The authors have discussed the application of AI techniques in a few areas like diagnosis, prediction, personal care, and surgeries. Usage of AI is noteworthy in this COVID-19 pandemic situation too where it assists physicians in resource allocation, predicting death rate, patient tracing, and life expectancy of patients. The other side of the coin is the ethical issues faced while using this technology like data transparency, bias, security, and privacy of data becomes unanswered. This can be handled better if strict policy measures are imposed for safe handling of data and educating the public about how treatment can be improved by using this technology which will tend to build trust factor in near future. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Antecedent Factors in Adolescents Consumer Socialization Process Through Social Media
The research paper attempts to find the antecedent factors that influence in adolescents consumer socialization process through social media and its impact on family purchase. Consumer socialization of adolescents through social media has become a key indicator in the area of marketing because of predominant online interaction of consumer. Socialization process framework is adopted to investigate among 254 respondents. The results show there is positive influence of antecedent variables like age, social media and peer identification on Purchase Intention and the variable social media also influences Product Involvement in family decision making. The outcome of this research benefits the academicians and marketers to explore the impact of social media on adolescent in their family decision making. Springer Nature Switzerland AG 2020.