Browse Items (16481 total)
Sort by:
-
-
Ableisms Impact on Body and Identity in Indra Sinhas Animals People
This study explores the link between ableism and identity formation through the discourse analysis of Indra Sinhas Animals People (2007). Set against the backdrop of a post-industrial disaster, the Bhopal gas tragedy in an Indian metropolis, the novel provides a powerful narrative about the marginalised. By analysing the social perceptions and structures that define ability, normalcy, and physical beauty, the study investigates how societal norms and cultural attitudes frame the protagonists experiences of exclusion and identity crisis. The study further investigates how the novel critiques the broader social and cultural dimensions of ableism in post-colonial contexts, revealing the intersection of power, disability, and identity in the social fabric of Asian societies. Social constructionist perspectives provide a framework for comprehending the social construction of disability, stigma, othering of disabled bodies, and cultural norms of beauty, normalcy, ability, and identity. Subjective and objective realities are discussed around the character, Animal. The study findings reveal the profound personal consequence of ableism on the self-image, body image, and self-perception of individuals with disabilities, the dehumanisation, marginalisation, and ultimately, an identity crisis of disabled individuals. 2025 International Islamic University Malaysia. All rights reserved. -
From Credentials to Careers: Evaluating Micro-Credentials Role in Placement Outcomes
The labor market complicates career entry, making alternative credentials crucial for employability. Micro-credentials help learners gain skills recognized for hiring and promotions, bridging the skills gap. Digital badges, Coursera certificates, and industry-backed credentials are common, but do they foster micro-skills (sub-skills of major competencies) that enhance job placement? This study examines whether micro-credentials create micro-skills and improve undergraduate placements in. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Ageing with Disability and Family Dynamics: A Social Constructionist Reading of Rohinton Mistrys Family Matter
This article examines how disability and ageing intersect within family structures and cultural expectations, foregrounding the role of ableism and ageism in shaping individual and collective experience. By examining Rohinton Mistrys Family Matters through the frameworks of social constructionism and ageism, the research underscores how age and disability are socially constructed and often associated with dependency and burden. Through the character of Nariman Vakeel, who experiences the dual challenges of old age and physical disability, this article critically examines how disability and ageing shape his health and wellbeing, access to care, and reliance on family and community support. The analysis highlights the ethics of caregiving and family responsibility, encouraging more inclusive and empathetic approaches to ageing and disability across cultural and familial contexts. Mistrys narrative mirrors real-world dynamics of care, responsibility, and economic burden within families. By situating Family Matters within broader discourses on ageing with disability, this article contributes to the growing field of interdisciplinary ageing studies and underscores the value of literature as a cultural text that reflects and critiques social realities. The study emphasises the importance of intergenerational understanding, encouraging families to recognise the emotional and social value of the elderly beyond their physical limitations. Finally, by demonstrating how literature reflects lived realities, the study highlights the role of cultural narratives in shaping more empathetic attitudes towards ageing and disability. The Author(s), under exclusive licence to Springer Nature B.V. 2026. -
Building a resilient future: collaborative sustainability regulation
The challenge of sustainability lies in achieving a balance between satisfying present needs and protecting resources for future generations with an emphasis on its three pillars - environmental, social and governance. This study explored sustainable development encompassing environmental, social and governance aspects along with sustainability reporting through various sustainability frameworks. A systematic review of literature for the period 2010-23 on major worldwide sustainability frameworks was conducted, by offering insights into enhancing reporting mechanisms for a sustainable future. Secondary data related to sustainability reports were obtained from the Sustainability Accounting Standards Board and International Integrated Reporting Council, which helped in examining sector and year variations across countries. The results reflected that mandatory sustainability disclosures help to meet the United Nations Sustainable Development Goals and global sustainability frameworks help to set standards, disseminate information and promote transparency. Collaboration of investment, company action and sustainability organizations can lead to a sustainable global economy. The adoption of sustainability reporting can help organizations by fostering a proper understanding of sustainability practices, improving transparency and identifying potential business opportunities in sectors with lower sustainability. The paper provided insights into sustainability reporting published across various countries in both advanced as well as emerging and developing economies. The analysis showed which sectors and time periods have had the most sustainability reports and which areas needed to be targeted for action to advance sustainable development. 2024 The Author(s). Published by Oxford University Press on behalf of National Institute of Clean-and-Low-Carbon Energy. -
AI-Enabled Brand-to-Generic Medication Recommendation System for Pharmacy: Addressing Consumer Brand-Name Bias
In countries like India, many people choose branded medicines over equally effective generic options, which drives up healthcare costs. This paper introduces a smart recommendation system that can tell whether a medication query is about a brand-name or a generic drug. It then offers more affordable alternatives based on the active ingredients. By using natural language processing and retrieval-augmented generation (RAG) with a detailed medicine database, the system accurately classifies and recommends options. Its conversational interface mimics a real pharmacy interaction, helping users make informed choices while saving money. Tests show the system responds quickly, usually within 7 seconds, and provides accurate answers over 80 % of the time for straightforward queries. Ultimately, this tool addresses the information gaps about generic drugs and branded ones and is easy to use for both consumers and pharmacists. 2026 IEEE. -
Are the determinants of foreign direct investment the same within the service sector? Evidence from bootstrap based bias corrected fixed effects model
Using sectoral as well as subsectoral foreign direct investments (FDI) data, we explore the determinants of FDI in services at both sectoral and sub-sector levels of 25 emerging economies for the period 19992016. We employ a bootstrap-based bias-corrected fixed effects model to analyze whether FDI's determinants vary within the service sector. Our results show that market size, market potential, natural resources endowments, and agglomeration effects are positively associated with the FDI in services and its subsectoral levels. The sectoral disaggregated analysis shows that the variables that attract FDI in services do not vary much from financial to nonfinancial services. This study suggests that there is no need for a separate theory for explaining FDI determinants in financial and nonfinancial services though some modifications are to be made. Before making modifications, we have to consider the salient features of service sector FDI, such as intangibility, inseparability, perishability, heterogeneity, and commercial presence. 2021 John Wiley & Sons Ltd. -
Testing for the Bidirectional Relationship Between FDI in Services and Trade in Services: Evidence from Emerging Economies
We examine the two-way links between foreign direct investments (FDI) in services and trade in services for 26 emerging economies from 2003 to 2015 using sectoral and sectoral disaggregated FDI data. Within a multivariate framework, we use panel unit root tests, recently developed heterogeneous panel cointegration and panel vector error correction model (VECM). Our results confirmed the cointegrating relationship between trade in services, FDI in services, financial services FDI and nonfinancial services FDI. We find the existence of long-run unidirectional causality from trade in services to FDI in services. However, the disaggregated analysis shows a bidirectional link between nonfinancial services FDI and trade in services in the short run. Still, there is no causality between financial services FDI and trade in services both in the short run and long run. The result also shows the evidence of unidirectional causality running from trade in services to nonfinancial services FDI in the long run. It implies that sectoral decomposition matters in the FDItrade nexus in emerging economies. JEL Codes: G20, F14, G20, F23 2022 Indian Institute of Foreign Trade. -
Exploring the Nexus: An in-depth analysis of brand activism's influence on consumer behaviour
This study delves into the intricate relationship between brand activism and consumer behavior, aiming to unravel the nuanced dynamics that underlie contemporary market influences. Employing a comprehensive analysis, the authors investigate how brands' engagement with social and environmental causes resonates with consumers, shaping their attitudes, preferences, and ultimately, their purchasing decisions. The research employs a multi-faceted approach, combining qualitative and quantitative methodologies to capture the depth and breadth of brand activism's impact. By examining real-world examples and conducting surveys, the authors seek to discern patterns and correlations that illuminate the mechanisms through which brand activism leaves an indelible mark on the modern consumer landscape. The findings promise to provide valuable insights for marketers, businesses, and scholars alike, offering a deeper understanding of the evolving interplay between corporate values, social responsibility, and consumer choices in today's dynamic marketplace. 2024, IGI Global. All rights reserved. -
Study of Transport Characteristics using Impedance Spectroscopy and Memristor Property Analysis of Protonated Polyaniline-WO3 Nanocomposite
Polyaniline-WO3 nanocomposite was synthesized through in-situ chemical polymerization. The structural properties are studied by using XRD and FESEM characterization. The XRD results confirmed the presence of crystalline WO3 nanoparticles in the polymer nanocomposite structure. FESEM images confirmed the sheet-like structure with heterojunction of WO3 nanoparticles and polyaniline matrix. The transport properties of the synthesized nanocomposites are studied using impedance spectroscopy analysis. The complex impedance analysis conducted using the Nyquist plot and equivalent circuit model of the nanocomposites are simulated using ZSimpWin software. The major conduction mechanism in the material is found to be grain boundary effect and the grain boundary conduction parameters are calculated. The polyaniline-WO3 nanocomposite with WO3 doping concentration of 15% has exhibited better sensing characteristics towards the target VOC (Volatile Organic Compound) 3-Carene, a breath-based biomarker for malaria. The memristor sensor model of the polyaniline nanocomposite with 15% of WO3 is simulated using MATLAB-Simulink. The pinched hysteresis loop obtained confirmed the memristor properties of the material. 2022, Universiti Malaysia Perlis. All rights reserved. -
Engineering CoMn2O? nanofibers: Enhancing one-dimensional electrode materials for high-performance supercapacitors
One-dimensional CoMn2O4 nanofibers were developed via the electrospinning method, offers a novel approach for designing electrode materials for energy storage device -supercapacitors. Field emission scanning electron microscopy (FESEM) with EDX confirmed the highly porous CoMn2O4 phase with desired composition. Elemental mapping studies confirmed uniform distribution of Co, Mn, and O elements throughout the nanofibers.Electrochemical studies underscored the crucial role of structural voids and spacing in enhancing energy storage capacity, establishing CoMn2O4 as a promising electrode material. Specific energy and power studies yielded remarkable results of 93.84 Whr/kg and 55.20 kW/kg, respectively. Additionally, specific capacitance determination returned 937.42 F/g, indicating exceptional charging and discharging performance over 1000 cycles with 93.3 % capacitance retention. Moreover, the flexible symmetric supercapacitor is expected to demonstrate exceptional flexibility and electrochemical stability, achieving a specific energy of 232 Wh/kg and a specific power of 84 kW/kg at a current density of 1 mA/cm. These findings advance our understanding of CoMn2O4 nanofibers and offer insights into developing efficient and stable energy storage systems for diverse applications. 2025 Elsevier B.V. -
One dimensional NiMn2O4 nanofibrous architectures for symmetric supercapacitor device
In this study, NiMn2O4 nanofibers are synthesized using an electrospinning method. The NiMn2O4 nanofiber films, coated on stainless-steel substrates, are electrochemically characterized in different electrolytes, including KCl, KOH, NaOH, and Na2SO4. The study explores how the choice of electrolyte influences the specific capacitance, galvanostatic charge-discharge behavior, cycle stability, and capacitance retention of the NiMn2O4 nanofiber electrodes. NiMn2O4 electrodes in KOH exhibit superior performance at a scan rate of 5 mV/s, with an areal capacitance of 2125 F/g. The higher capacitance in KOH is attributed to its high ionic conductivity and efficient ion mobility. Additionally, the NiMn2O4 nanofiber electrodes demonstrate excellent cycle stability, with 76.38 % capacitance retention in 1 M KOH. These results suggest that 1D NiMn2O4 nanofiber electrodes deliver superior electrochemical performance in KOH compared to other aqueous electrolytes, highlighting their potential for future electrochemical energy storage applications. Furthermore, the flexible symmetric supercapacitor device shows excellent flexibility and electrochemical stability, with specific energy of 660 Wh/kg and specific power of 140 kW/kg obtained at a current density of 2 mA/cm2. These findings indicate that 1D NiMn2O4 nanofibers, particularly in 1 M KOH, are promising candidates for high-performance supercapacitor applications, paving the way for advancements in electrochemical energy storage devices. 2025 Elsevier B.V. -
Engineering CoMn2O? nanofibers: Enhancing one-dimensional electrode materials for high-performance supercapacitors
One-dimensional CoMn2O4 nanofibers were developed via the electrospinning method, offers a novel approach for designing electrode materials for energy storage device -supercapacitors. Field emission scanning electron microscopy (FESEM) with EDX confirmed the highly porous CoMn2O4 phase with desired composition. Elemental mapping studies confirmed uniform distribution of Co, Mn, and O elements throughout the nanofibers.Electrochemical studies underscored the crucial role of structural voids and spacing in enhancing energy storage capacity, establishing CoMn2O4 as a promising electrode material. Specific energy and power studies yielded remarkable results of 93.84 Whr/kg and 55.20 kW/kg, respectively. Additionally, specific capacitance determination returned 937.42 F/g, indicating exceptional charging and discharging performance over 1000 cycles with 93.3 % capacitance retention. Moreover, the flexible symmetric supercapacitor is expected to demonstrate exceptional flexibility and electrochemical stability, achieving a specific energy of 232 Wh/kg and a specific power of 84 kW/kg at a current density of 1 mA/cm. These findings advance our understanding of CoMn2O4 nanofibers and offer insights into developing efficient and stable energy storage systems for diverse applications. 2025 Elsevier B.V. -
Hybrid Intrusion Detection Technique for Internet of Things
The rapid expansion and integration of Internet of Things (IoT) applications in newlinevarious aspects of daily life has significantly surprised and impacted contemporary society. The most crucial keyword concerning these applications is security, specifically, in the enormous amount of data generated every second, and how it is used. These applications are vulnerable to various attacks, which could result in an unthinkable catastrophe if not managed and controlled with sufficient foresight. Growing concerns about data security in the expanding IoT landscape are driven by factors such as increased vulnerability of devices to viruses, susceptibility to denial-of-service attacks, and heightened risk of intrusion attempts. To prevent such occurrences, stronger precautions should be taken, enabling system developers and manufacturers of IoT devices to enhance their approaches to better security mitigation. It is essential to identify all potential threats and vulnerabilities that are created explicitly for IoT infrastructures. It is believed that to lessen potential dangers, there is a need for more significant research on security attacks. Security difficulties have been found and must be dealt with, so they may be avoided. Further research must address security challenges in IoT-based environments, particularly for suppliers and consumers, to gradually raise the reliability of IoT applications. Although many conventional methods are still used, there might be superior options for devices with limited resources. Artificial intelligence plays a significant role in this issue. newlineThis research first tries to comprehend how machine learning methods relate to attack newlinedetection. The effects of different machine learning techniques are evaluated using the newlineUNSW-NB 15 dataset. Additionally, it has been found that each model performs worse overall, mainly when security issues are present. As a result, real-time datasets and Deep Learning (DL) algorithms for intrusion detection in the IoT need to be prioritized. -
Iodine Mediated Oxidative Cross-Coupling of Benzo[d]Imidazo[2,1-b]Thiazoles with Ethylbenzene: An Unprecedented Approach of C3-Dicarbonylation
A versatile approach of iodine mediated C3-dicarbonylation of benzo[d]imidazo[2,1-b]thiazoles (IBTs) with ethylbenzene has been reported. The reaction conditions were optimized by screening in various solvents, catalysts, and oxidants. The reaction is compatible with various substrates and was successfully demonstrated to offer moderate to good yields. 2022 Taylor & Francis Group, LLC. -
Iodine promoted synthesis of pyrido[2?,1?:2,3]imidazo[4,5-c]quinoline derivatives via oxidative decarboxylation of phenylacetic acid
An unprecedented and efficient molecular iodine promoted domino protocol for the synthesis of N polycyclic pyrido[2?,1?:2,3]imidazo[4,5-c]quinolines were reported from phenylacetic acid and 2-(imidazoheteroaryl)anilines. This methodology was also extended for the preparation of benzo[4?,5?]thiazolo [2?,3?:2,3]imidazo[4,5-c]isoquinolines in good yields. However, this protocol proceeds via a sequential decarboxylation of phenylacetic acid with I2/DMSO system followed by Pictet-Spengler cyclization in good yields. 2022 Taylor & Francis Group, LLC. -
A collaborative defense protocol against collaborative attacks in wireless mesh networks
Wireless mesh network is an evolving next generation multi-hop broadband wireless technology. Collaborative attacks are more severe at the transport layer of such networks where the transmission control protocol's three-way handshake process is affected with the intention to bring the network down by denying its services. In this paper, we propose a novel collaborative defense protocol (CDP) which uses a handshake-based verification process and a collaborative flood detection and reaction process to effectively carry out the defense. This protocol presents a group of monitors that collaboratively entail in defending the attack; thus reduces the burden on a single monitor. Moreover, this paper proposes a novel transport layer post-connection flooding attack that occurs after establishing a TCP connection and we show that CDP can detect and mitigate this attack. The CDP protocol has been implemented in Java and its performance has been evaluated using essential metrics. We show that CDP is efficient and reliable and it can identify the attack before any major damage has occurred. Copyright 2021 Inderscience Enterprises Ltd. -
Design of Grovers Algorithm over 2, 3 and 4-Qubit Systems in Quantum Programming Studio
In this paper, we design and analyse the Circuit for Grovers Quantum Search Algorithm on 2, 3 and 4-qubit systems, in terms of number of gates, representation of state vectors and measurement probability for the state vectors. We designed, examined and simulated the quantum circuit on IBM Q platform using Quantum Programming Studio. We present the theoretical implementation of the search algorithm on different qubit systems. We observe that our circuit design for 2 and 4-qubit systems are precise and do not introduce any error while experiencing a small error to our design of 3-qubit quantum system. 2022 Polish Academy of Sciences. All rights reserved. -
Investors rationality for IPOS using meta-analysis and forest plots in neyeloff et al. (2012) framework: An investigation /
Patent Number: 202211046639, Applicant: Dr. Mani Jindal.
This research article focuses on the contours of investors’ rationality as regard to the initial public offering (IPO). For last 20 years, financial world has been very volatile. Now the investors have actively started to participate in the investment activities. The investment markets are becoming more risky; time makes investors to behave differently. It is crucial to perceive the responses of the inves- tors and to identify the factors of the investment decisions. -
Data- Driven Insights for Decision- Making in the Stock Market by Using Meta- Analyses
The stock market structure is complex, dynamic, and continually evolving. This makes it harder for investors to make smart decisions. Using data-driven insights to inform investment decisions has become increasingly prevalent in recent years. This research study focused on two main parameters: investors behavioral biases and initial public offering (IPO) pricing. Forty-five past studies from 2010 to 2022 were analyzed using meta-analyses. The study initially delves into the difficulties investors face in choosing suitable stock market investments. It then covers the various types of data that are available to investors. The paper proceeds to examine the techniques for analyzing stock market data. Finally, the article concludes by discussing the advantages of implementing data-based insights in investment decision-making. 2025 CRC Press.