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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. -
Exploring the use of mobile phones by children with intellectual disabilities: experiences from Haryana, India
Purpose: Covid-induced lockdowns have increased the importance of technology in education. Though access to technology as well as availability of the internet remain a major concern for a lot of children in the global south, children with intellectual disabilities are disadvantaged even more as most of the e-content is developed keeping in mind the average learner. Materials and methods: Unstructured interviews were conducted with children with intellectual disabilities studying in government schools in Haryana as well as their teachers and parents. Thematic analysis of the interviews was conducted to understand the use-patterns of mobile phones by children with intellectual disabilities. Results: Findings suggest that these children are learning to use mobile phones on their own or with some support and are able to navigate the complexities of these smartphones quite well. They use these devices mostly for their entertainment. This paper then reflects on the need and strategies to develop these technologies in ways that they can be used as effective tools for teaching children with intellectual disabilities, especially in the inclusive education system in developing countries. Conclusion: The paper reflects on the need to develop technology and tools using flexible and exploratory designs to enhance the learning processes for children with intellectual disabilities from the lower income strata.IMPLICATIONS FOR REHABILITATION This study highlights the importance of being able to use mobile phones by children with intellectual disabilities belonging to low income families. Following this, the article argues for designing of mobile phones suitable for use by children with intellectual disabilities using playfulness and explorations, and Building e-content keeping the elements of playfulness and exploration which can enhance the learnings of this group of students which is often ignored. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
POST-LISTING PRICING PERFORMANCE OF INITIAL PUBLIC OFFERS: INSIGHTS FROM INDIA
The objective of this study is to investigate short-run performance and whether the IPOs are over-priced or under-priced in various window periods. This study applies one-sample t-tests, capital asset pricing models, and market-adjusted excess return to quantify the short-term pricing performance as well as the risk and return of initial public offerings and market indices. The study investigates the claim that post-listing initial public offerings (IPOs) guarantee short-term gains. The twelve months following the listing, in particular, have seen the biggest gains. According to reports, investors who buy shares in IPOs get strong returns in this period. The market-adjusted initial returns for the IPOs registered on the National Stock Exchange between January 2019 and December 2020 have been found to be roughly 44%, per this analysis. 2024 Published by Faculty of Engineering. -
Influence of gravity modulation on the initiation of Rayleigh-Bard convection in ferro-nanofluids
The study investigates the influence of sinusoidal (sine wave) and non-sinusoidal (square wave, triangular wave, and sawtooth wave) gravity modulation on Rayleigh-Bard Convection in ferro-nanofluids (FNF) using both linear and nonlinear stability analyses. Controlled fluid systems are important in application situations, and hence, we have considered gravity modulation approach to control. The linear analysis based on the Venezian method is performed to determine the Rayleigh number of the problem, while the nonlinear analysis is carried out by solving the non-autonomous Lorenz equations to evaluate the heat transfer coefficient through the Nusselt number. Free-free and rigid-rigid boundary conditions for both upper and lower plates are considered along with isothermal and iso-nano concentration conditions. The purpose of the present study is to investigate the influence of initiation of convection and heat transfer in FNFs. This research focuses on analyzing the effects of various dimensionless parameters on the onset of convection and heat transfer. The results indicate that the magnetization parameters destabilize the system and enhance heat transfer. Among the four wave forms considered, square wave gravity modulation is found to facilitate greater heat transport compared to other forms of gravity modulation. In addition, the presence of ferro-nanoparticles advances the initiation of convection and enhances heat transfer. The novelty of this study lies in analyzing unconsidered aspects of gravity modulation, together with magnetic effects and nanoparticles, on the onset of convection and heat transfer in FNFs using both linear and nonlinear stability approaches. 2025 Author(s). -
Review on microbially synthesized nanoparticles: a potent biocontrol agent against Aedes species of mosquito
Aedes aegypti is a principal vector of dengue, chikungunya and Zika illnesses worldwide. Because effective vaccinations or medications for the prevention and/or treatment for these illnesses are not available, vector management has been embraced as the primary method of reducing their transmission. The strategy that is often used for controlling Aedes populations is chemical insecticides; however, despite their efficiency, extensive usage of these pesticides has resulted in high operating costs, the establishment of resistant populations and undesirable non-target impacts. Therefore, the use of nanoparticles derived from multiple synthesis processes as new insecticides has recently attracted the interest of researchers. This study provides an overview of the current understanding concerning the method of action of nanoparticles against mosquitoes. Metal nanoparticles strongly influence antioxidant and detoxifying enzymes in insects, causing oxidative stress and cell death. These nanoparticles similarly inhibited acetylcholinesterase activity. Metal-based nanoparticles can potentially bind to S and P units in proteins and nucleic acids respectively resulting in decreased membrane permeability, organelle and enzyme denaturation which leads to cell death. Furthermore, they upregulate and downregulate critical insect genes, lower protein synthesis and gonadotrophin release, resulting in developmental and reproductive failure. This review critically examines insect nanotoxicology research trends and highlights the ecotoxicological effects of practical usage of nanoparticles as insecticides. 2022 World Research Association. All rights reserved. -
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Process of Emotion Regulation in Relation to Attachment and Mindfulness Traits During Gottman's Dreams-WIthin-Conflict Intervention
Gottman Couple Therapy (GCT) promotes process research to comprehend how interventions function. A GCT intervention called Dreams-within-Conflict (DWC) encourages healthy emotional regulation techniques including expression and experiencing to diffuse impasses. The purpose of this study is to examine emotion regulation and experiencing changes during a single DWC session using convergent mixed methods on N=30 individuals (15 couples). The techniques for controlling emotions (Extrinsic/Intrinsic affect Worsening/Improving strategies EW, IW, EI, II) and experiencing mode/peak scores (ESM & ESP) were measured using self- assessments, observation rating and coding of video recordings, interviews, and feedback reports in relation to individual traits of emotion regulation (cognitive reappraisal & suppression), beliefs, attachment (avoidance & anxiety), and mindfulness. Paired-samples t-test revealed that DWC significantly reduced partners' EW and boosted partners' EI and II. Both ESM and ESP significantly improved. Results from hierarchical linear modelling showed that before-DWC EI, gender, cognitive reappraisal, and suppression predicted EI and before-DWC II and avoidance predicted II. None of the variables predicted EW or IW. Gender predicted ESM. The emotional regulation strategies, experiencing and preferences for expression (over suppression) shared by Indian couples were examined using thematic analysis. Avoidance, conflict behaviours, and prioritising parents' emotions over partners' (in men) were most used strategies. Experiencing levels 1-3 used before-DWC changed to 3-4 during-DWC. Expression was unanimously preferred by Indian couples. -
Identity and access management for IOT devices
Identity and Access Management (IAM) for Internet of Things (IoT) devices is crucial in safeguarding the security and integrity of interconnected systems. This critical analysis explores the unique challenges and solutions associated with IAM in the context of IoT environments. IoT devices, characterized by their diverse types and widespread deployment, present significant complexities in managing identities and controlling access. Traditional IAM frameworks often fall short when applied to the dynamic and distributed nature of IoT networks, where devices frequently interact autonomously and may lack standardization. The analysis identifies key issues such as scalability, interoperability, and real-time authentication. It highlights the need for advanced IAM solutions that can handle the vast number of devices, support diverse protocols, and ensure robust security measures. Emerging technologies, including blockchain and AI-driven authentication, offer promising avenues for enhancing IAM in IoT contexts. Blockchain can provide decentralized, tamper-proof identity management, while AI can enhance real-time threat detection and adaptive access control. The review underscores the importance of developing IAM frameworks that are both flexible and scalable to address the evolving security requirements of IoT environments. By addressing these challenges, organizations can better secure their IoT infrastructure and mitigate risks associated with unauthorized access and identity breaches. 2026 Elsevier Inc. All rights reserved.. -
Next Gen Text Mining in English Literature: A Machine Learning Approach for Narrative and Stylistic Analysis
This paper presents a research work that is novel in nature, based on a new machine learning framework that focuses on a computational analysis in the field of English literature. This research uniquely aims at focusing on an intersection based on stylistic patterns and narrative structures. The newly proposed model is termed the 'Next Gen Text Mining Framework', which leverages transformer-based models (such as GPT, BERT), along with sentiment trajectory-based modeling, network analysis, and clustering algorithms for extracting stylistic features and latent semantics from the text on a large scale. A meticulously used re-processing type pipelining framework modifies and prepares the data for the model ingestion. The multi-modal approach used in this framework enables the experimental analysis of different models across various diverse corpora in the literature that demonstrate stability, superior accuracy, and robustness when compared to the traditional models, in tasks like the authorship attribution, sentimental trajectory mapping, and the theme-based classification. The proposed framework bridges the gap between distant and close reading practices, enhancing the pedagogically based engagements and translating the computational insights into interpretative forms for research and teaching. This research highlights a scalable and replicable framework model that is a transformative tool when a large-scale inquiry in literature is considered and sets a foundation towards multi-modal, future, cross-lingual, and multidisciplinary-based applications. 2025 IEEE. -
An AI-Driven Framework for Computational Literary Analysis: Bridging English Literature and Technology
Artificial Intelligence is emerging to be significantly used in the field of digital humanities, yet the focus of achieving interpretability and predictive level of performance simultaneously in the field of literary analysis is challenging. This paper highlights the study of a newly proposed effective model that is the Interpretable and Pedagogical Artificial Intelligence Framework (IPAF), a novel model that is designed for the analysis of poetry, prose and drama, while suitable outputs are provided by the model that are explainable in the field of education and literature research. The traditional models, such as the Random Forest, XG Boost and the Light BGM model, were used as base learners and have been integrated into the IPAF model by using Term Frequency-Inverse Document Frequency (TF-IDF) and the BERT embedding towards feature-level representations. The evaluation of this framework is carried out by utilising standard levels of classification metrics such as precision, accuracy level, F1 score and the SHAP-based explainability, which is applied for identifying the significant features of text that are influencing predictions. The results show that the IPAF model significantly outperforms the existing baseline models, by achieving a model with high accuracy, stability and robustness, that provides actionable insights towards educators and literary researchers. The interpretability of the framework allows users towards linking the computational outputs of the model alongside stylistic and theme-based patterns, by bridging the need for qualitative analysis along critical understanding of the literature. The future scope of the work extends the IPAF model to explore multi-modal levels of literary analysis by integrating data for audio, text and image together for digital archives for the further enhancement of cross-genre interpretation and applications of pedagogy. 2025 IEEE. -
Smartphone-integrated quantitative determination of bilirubin using luminescent carbon nanoparticles
Herein, using a green, cost-effective, and sustainable biomass precursor, luminescent carbon nanoparticles (CNP) are synthesized for selective bilirubin quantification. From high-resolution transmission electron microscopy (HRTEM) image, the prepared CNP exhibited spherical morphology and the crystallite size ranges from 8 to 16 nm. X-ray photoelectron spectroscopy (XPS) analysis confirmed the presence of both sp2 and sp3 hybridized carbon bonds within the carbon nanoparticles (CNP). Furthermore, Dynamic Light Scattering (DLS) analysis was performed to determine the hydrodynamic diameter of the CNP and the average particle size was found to be approximately 12.94 0.19 nm. Under ultraviolet (UV) radiation of 350 nm wavelength, the CNP displayed excitation dependent emission characteristics, having an average lifetime of 4.4 ns. The fluorescence intensity of carbon nanoparticles reduced considerably in the presence of Fe3+ ions and fluorescence turn ON was achieved upon the addition of different concentrations of bilirubin. The probe displayed remarkable selectivity towards bilirubin over other potential interferences. Using a sensing platform based on a mobile phone application, the fluorescent probe exhibited a limit of detection (LOD) of 32 nM. Moreover, the fluorescent probe was efficiently employed for the detection of bilirubin in human serum and urine specimens. This cost-effective carbon-based turn-off-on fluorescent sensor makes it easy to detect bilirubin, through visual inspection under ultraviolet light, thereby enabling prompt diagnosis. 2025 Elsevier B.V. -
Biosynthesis of silver nanoparticles using Vitex negundo: Pesticidal efficacy against Spodoptera litura and Helicoverpa armigera with a safety assessment
Plant-based metallic nanoparticles hold promise for agricultural applications. This study investigated the biosynthesis of silver nanoparticles (AgNPs) using Vitex negundo leaf extract. It assessed their pesticidal properties and safety. AgNPs were synthesized via aqueous extract and characterized by UVVis spectroscopy, dynamic light scattering (DLS), Scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) Characterization revealed a surface plasmon resonance (SPR) peak at 435 nm, an average particle size of 236.4 nm, and a stable zeta potential. SEM confirmed spherical morphology, XRD indicated a face-centred cubic (fcc) structure, and FTIR confirmed biomolecule-mediated capping and stabilization. Larvicidal bioassays showed that 5 mg/L AgNPs caused 78-89% mortality in Spodoptera litura and 83-100% in Helicoverpa armigera. In both pests, oxidative stress was triggered. Catalase (CAT) activity increased by over 80% in S.litura and moderately in H. armigera. Glutathione-S-transferase (GST) activity declined post-treatment, from 9.4 to 5.0 mM/ min/mg protein in H. armigera and from 1.0 to 0.7 mM/min/mg protein in S. litura, indicating impaired detoxification. In Oreo-chromis urolepis, AgNPs (5, 10, and 25 mg/L) induced oxidative stress without mortality. CAT activity decreased within 24 hours (72.4% at 5 mg/L) and remained suppressed by day 5 (36.7% at 25 mg/L). Superoxide dismutase (SOD) activity increased at 5 mg/L (19.8%) and 25 mg/L (54.8%), while GST initially declined but rebounded at higher concentrations. Reduced glutathione (GSH) levels increased by 24.3% at 25 mg/L, indicating adaptation. This study highlights that V. negundo-derived AgNPs are effective, eco-friendly biopesticides with minimal non-target toxicity. Author (s). -
Empowering Local Action: Strategies for ClimateResponsive Governance
Governance explores the pivotal role of local governance in addressing the urgent challenges posed by climate change. As the effects of climate disruption become increasingly localized, cities, towns, and communities are on the front lines, facing the immediate impacts while also offering innovative solutions. This chapter examines the strategies that enable local governments to integrate climate resilience into their policies, governance structures, and day-to-day decision-making processes. It discusses the importance of building local capacity, fostering collaboration among stakeholders, and utilizing data-driven approaches for adaptive management. Through case studies and real-world examples, the chapter highlights how local leadership can empower citizens, engage in sustainable urban planning, and implement climate-mitigation practices. By enhancing the capacity for climate-responsive governance, this work underscores the need for a bottom-up approach in achieving global climate goals and creating resilient communities. 2026 by IGI Global Scientific Publishing. All rights reserved. -
A Theoretical Article: Exploring the Evolutionary Dynamics of Couples and Family Therapy
This article provides a comprehensive review of how the field of family therapy has evolved, tracing its roots from early practices influenced by eugenics to its current diverse theoretical frameworks, which are ever-expanding. In the mid-20th century, family therapy expanded beyond its eugenic roots, embracing diverse theoretical frameworks and giving rise to various therapeutic modalities like behavioral and emotionally focused family and couples therapy. However, due to cultural disparities, these concepts and models cannot holistically capture the essence of family therapy in India. They do not compute the central role of the intergenerational subsystem or understand hierarchical dynamics. What is deemed okay in the Western context does not hold true in the Indian context. Postmodern approaches show a marked improvement in dealing with these problems in cultural adaptations of family and couples therapy by integrating diverse therapeutic practices, technological advances, and cultural and diversity-sensitive practices. However, despite these advancements, the adapted modalities have a scope for improvement, posing a pressing need for research that bridges this gap. Moving forward research should focus on family change mechanisms, symptom improvement factors, and prioritizing culturally sensitive approaches to meet the unique needs of Indian families. The Author(s) 2024. -
The Convergence of Artificial Intelligence and Sustainable Finance: Transforming the Financial Landscape
This chapter examines the transformative impact of Artificial Intelligence (AI) on sustainable finance by emphasizing environmental, social, and governance (ESG) investment choices. This chapter utilized the literature review method to analyse diverse AI models, such as machine learning, natural language processing, and predictive analytics, concerning data analysis, risk modelling, and sustainable product development in the financial industry. Additionally, the study presents a use case of the AI-implemented model in the ESG ratings, which assesses environmental consequences and evaluates investment sustainability. The research also recognized possible challenges and ethical issues in the application of AI in the sustainable investing domain. These challenges highlight the necessity for a comprehensive governance framework and the appropriate implementation of AI. The study contributes to the literature by providing insights into technology advancements and proposing solutions to address sustainable finance requirements. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Dynamics of Socio-economic Factors in Shaping Fertility Rates in Manipur: A Robust Poisson Regression Framework Using NFHS-5 Data
This study utilizes Poisson regression to examine the total number of children ever born for all the surveyed women in Manipur, using data from the NFHS-5. Poisson regression is well-suited for modeling count data, such as fertility outcomes, due to its ability to handle discrete, non-negative variables. The model incorporates robust standard errors to deal with violations of the assumptions typically associated with Poisson models, such as under or over dispersion and heteroscedasticity in the residuals. Findings indicate that lower levels of education, age at first child, and limited health literacy are some of the significant predictors of higher birth rates. Furthermore, women from specific religious communities and economically disadvantaged backgrounds are likely to have more children, probably due to restricted access to family planning resources and healthcare services. These findings highlight the value for targeted policy interventions that prioritize improving womens educational opportunities and health literacy. Such strategies are essential for effectively managing fertility rates in Manipur and are in line with national sustainable development goals focused on health and education improvements. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.