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Quantum-inspired algorithms for cognitive computing: Enhancing cloud-based problem-solving
The convergence of quantum-inspired algorithms and cloud-based frameworks represents a transformative shift in computational capabilities tailored to the human-centric goals of Industry 5.0. Unlike Industry 4.0, which focused on automation and digitization, Industry 5.0 emphasizes intelligent systems that complement human decision-making. Quantum-inspired algorithms, derived from the principles of superposition and entanglement, offer superior capabilities in optimization and pattern recognition without requiring quantum hardware. When integrated with scalable and distributed cloud computing infrastructures, these algorithms enable high-performance cognitive computing, tackling previously intractable problems across domains. This chapter explores the theoretical foundation and practical implementation of such systems, including quantum-inspired neural networks (QiNNs), quantum-inspired immune algorithms (QiIAs), and quantum-inspired particle swarm optimization (QPSO). These models exhibit enhanced accuracy and efficiency in applications like pattern recognition, anomaly detection, and multiobjective optimization. Real-world case studies in finance, cybersecurity, healthcare, and smart grid management highlight their impact on risk modeling, threat mitigation, and decision support systems. The chapter further proposes a cloud integration framework, addressing challenges in scalability, performance, and security. Implementation strategies and architectural designs are discussed with a focus on dynamic resource management, real-time analytics, and secure deployment. The synthesis of these technologies marks a significant advancement toward achieving adaptive, intelligent, and secure computational ecosystems, aligned with the values and vision of Industry 5.0. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors. -
Quantum-Inspired Genetic Algorithms for Secure and Scalable Cloud-Based Decision Support Systems
Cloud-based DSS are critical for data-intensive decision-making but tremendously challenged by issues of scalability, security, and the optimization of resources. In general, optimization approaches such as GA, PSO, and ACO treat the problems of allocation and security enhancement of cloud resources very inadequately. Hence, the present work addresses developing a QIGA-based optimization framework for the performance optimization of cloud DSS. At its core, it utilizes quantum-like principles, such as superposition and probabilistic search, for resource optimization with respect to stability, security, and rapid convergence. Therefore, this underpinning framework comprises resource optimization, anomalous detection, and quantum-independent encryption through QIGA, which enhances the data security along with computational efficiency. The experimental results depict the performance efficiency of QIGA since its execution time, CPU, memory utilization requirements, and energy consumption are less while the task completion rate is higher and the security vulnerabilities are reduced in comparison to traditional optimization techniques. QIGA-based anomaly detection improves accuracy at the expense of response time, while its quantum-inspired encryption provides the best cryptographic security. Therefore, these results verify that QIGA is an efficient secured methodology for scalable cloud-controlled DSS, hence being a potential candidate for decision-making optimization in highly dynamic cloud environments. 2025 IEEE. -
Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem
Portfolio optimization has long been a challenging proposition and a widely studied topic in finance and management. It involves selecting and allocating the right assets according to the desired objectives. It has been found that this nonlinear constraint problem cannot be effectively solved using a traditional approach. This paper covers and compares quantum-inspired versions of four popular evolutionary techniques with three benchmark datasets. Genetic algorithm, differential evolution, particle swarm optimization, ant colony optimization, and their quantum-inspired incarnations are implemented, and the results are compared. Experiments have been carried out with more than 10 years of stock price data from NASDAQ, BSE, and Dow Jones. This work proposes several enhancements to allocate funds efficiently, such as improved crossover techniques and dynamic and adaptive selection of parameters. Furthermore, it is observed that the quantum-inspired techniques outperform the classical counterparts. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
Quantum?Inspired Strategies and Business Resilience in Industry 5.0: A Study of Small Businesses
The discussion of the study revolves around the assessment of the various quantum strategies influencing the resilience of a business in Industry 5.0. Quantum strategy implementation (QSI), technological readiness (TR), superposition capability (SPC), innovation capacity (IC), leadership style (LS) and organisational culture (OC) were identified as independent variables which might have a significant influence on business resilience (BR), the dependent variable for the study. Moreover, industry volatility (IV) is taken as a mediating variable. Questionnaire was framed involving the 5-point Likert scale, and data collection was carried out. Among 250 responses, 32 was either incomplete or invalid. Final determination of sample size was 218. Stratified random sampling technique was adopted to ensure different industries and geographical locations were covered. Pilot testing with the 30 initial responses was carried out for better clarity and validity before full deployment. SPSS 25 and AMOS 23 were the statistical tools involved to analyse the data. Reliability and validity check, correlation, regression, confirmatory factor analysis, mediation analysis and structural equation modelling (SEM) are the statistical methods used in the study. Highest correlation is seen among IC and BR. Regression results show that IV and LS have an insignificant impact on the BR. Results of SEM show the index values are well within the recommended value range indicating a good model fit. With the results, small businesses may adapt to rapid technological changes and increase resilience. 2026 Saladi Jaswanth Seshasai, R. Vijay Raja and G. Kumar -
Quarantined effects and strategies of college students COVID-19
Purpose: The world is battling with one of the biggest health crisis caused by novel COVID-19. This paper aims to understand the effect of quarantine on the psychological health of college students and the coping strategies adopted by them. Design/methodology/approach: The study adopted the interview method and focused on two crucial open-ended questions: how quarantine has impacted and what are the strategies adopted to overcome the same. The response was recorded through email and phone from a sample of 30 students. Findings: Most of the students stated that they are going through issues like anxiety, depression, infection fear, ambiguity due to this pandemic and the lockdown related to it. However, they engage themselves with various activities that help them to combat this situation. Practical implications: Education institutions can focus on conducting online fest and other events to engage students more productively. They can also focus on developing a wellness application to support these students. They can provide solutions and tips to balance mental health and wellness during these times. Originality/value: Everyone knows about COVID-19 and the measures taken related to it, but not much about the impact of it on mental health. This paper discusses the negative impact of quarantine on students and coping strategies adopted by them. The strategies mentioned in the study can guide quarantined people, student community, parents, counsellors and academic facilitators to handle the situation in a better way. 2020, Emerald Publishing Limited. -
Quarter-life Crisis Episodes in Emerging Adulthood: A Mixed-Methods Analysis of Data From Eight Countries
Developmental crisis episodes that occur during emerging adulthood, also known as quarter-life crises, are emotionally unstable times of transition that typically last around a year or two. This study aims to expand the cross-cultural focus on this topic, by assessing prevalence and brief written descriptions of early adult crisis in 1829-year-olds from eight countries (UK, Greece, Czechia, Turkey, India, Pakistan, Indonesia and Brazil), with a total sample of N = 2,247, with the objective of exploring similarities and differences across cultures. Crisis prevalence rates found ranged from 40% to 77% per country. Thematic analysis of descriptions of crisis elicited external and internal crisis features. With regards to external features, the most prevalent were career transition, financial difficulties, studying-based stress and struggle, and family difficulties. Internal features that were most prevalent were feeling fearful/anxious/worried, negative self-evaluation, feeling sad/down, and feelings of confusion/uncertainty. The findings align with existing research on early adult crisis, pointing to both cross-cultural similarities and differences. 2025 Society for the Study of Emerging Adulthood and SAGE Publishing. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). -
Quartic autocatalysis of homogeneous and heterogeneous reactions in the bioconvective flow of radiating micropolar nanofluid between parallel plates
This study deals with the quartic autocatalysis of homogeneousheterogeneous chemical reaction that occurs in the bioconvective flow of micropolar nanofluid between two horizontally parallel plates. The quartic autocatalysis is found to be more effective than cubic autocatalysis since the concentration of the homogeneous species is substantially high. The upper plate is assumed to be in motion and the lower plate is kept stationary. Such a flow of micropolar fluid finds application in the pharmaceutical industry, microbial enhanced oil recovery, hydrodynamical machines, chemical processing,and so forth. The governing equations for this flow are in the form of the partial differential equation and their corresponding similarity transformation is obtained through Lie group analysis. The governing equations are further transformed to coupled nonlinear differential equations that are linearized through the Successive linearization method and are solved using the Chebyshev Collocation method. The effects of various parameters, such as micropolar coupling parameter, spin gradient parameter, reaction rates, and so forth, are analyzed. It is observed that the fluid flows with a greater velocity away from the channel walls, whereasnear the channel walls the velocity decreases with an increase in the coupling parameter. Furthermore, the spin parameter increases the spin gradient viscosity that reduces the microrotation of particles that further decreases the microrotation profile. 2021 Wiley Periodicals LLC -
Quasar catalogue for the astrometric calibration of the forthcoming ILMT survey
Quasars are ideal targets to use for astrometric calibration of large scale astronomical surveys as they have negligible proper motion and parallax.The forthcoming 4-m International Liquid Mirror Telescope (ILMT) will survey the sky that covers a width of about 27?. To carry out astrometric calibration of the ILMT observations, we aimed to compile a list of quasars with accurate equatorial coordinates and falling in the ILMT stripe. Towards this, we cross-correlated all the quasars that are known till the present date with the sources in the Gaia-DR2 catalogue, as the Gaia-DR2 sources have position uncertainties as small as a few milli arcsec (mas). We present here the results of this cross-correlation which is a catalogue of 6738 quasars that is suitable for astrometric calibration of the ILMT fields. In this work, we present this quasar catalogue. This catalogue of quasars can also be used to study quasar variability over diverse time scales when the ILMT starts its observations. While preparing this catalogue, we also confirmed that quasars in the ILMT stripe have proper motion and parallax lesser than 20 masyr- 1 and 10 mas, respectively. 2020, Indian Academy of Sciences. -
Quasi Z-Source Inverter with Simple Boost and Maximum Boost Pulse Width Modulation Techniques for PV Grid Connection
The voltage-fed quasi Z-source inverter (qZSI) is emerged as a promising solution for photovoltaic (PV) applications. This paper proposes a novel high-gain partition input union output dual impedance quasi Z-source inverter (PUDL-qZSI) for PV grid-connected system. This advanced inverter design achieves exceptionally low shoot-through duty ratios and high modulation index, resulting in a superior output current with reduced total harmonic distortion (THD). To modulate three-phase qZSIs and other equivalent topologies, a variety of modulation schemes may be used, some of which involve two extra reference signals to generate shoot-through state. The simulation is carried out on the MATLAB/Simulink environment with PV-based grid-connected PUDL-qZSI to measure the harmonic distortion and power measurement. The proposed inverter is subjected to two different pulse width modulation (PWM) analysis are simulated and compared to validate the proposed system. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Quasi-finite modules over affine and extended affine Lie algebras
In this paper, we consider irreducible quasi-finite (or equivalently weakly integrable) modules, with non-trivial action of the core, over the extended affine Lie algebras (EALAs) whose centerless cores are multiloop algebras. The centerless cores of all but one family of EALAs having nullity greater than 1 are known to admit such multiloop realizations. For any such (untwisted) EALA, we show that the irreducible quasi-finite modules are either integrable with the center of the underlying core acting trivially, or restricted generalized highest weight (GHW) modules. We further prove that in the nullity 2 case, these irreducible restricted GHW modules turn out to be highest weight type modules, thereby classifying the irreducible quasi-finite modules over all such EALAs. In particular, we obtain the classification of irreducible quasi-finite modules over toroidal Lie algebras, minimal EALAs and toroidal EALAs of nullity 2. Along the way, we also completely classify the irreducible weakly integrable modules over affine Kac-Moody algebras (RaoFutorny in Trans. Am. Math. Soc. 361(10): 54355455, 2009). Our results generalize the well-known work of Chari (Invent. Math. 85(2):317335, 1986) and ChariPressley (Math. Ann. 275(1):87104, 1986) concerning the classification of irreducible integrable modules over (nullity 1) affine KacMoody algebras. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. -
Queer healing in altered states: A critical interpretive synthesis of psychedelic therapy inqueer and non-binary individuals
As psychedelic-assisted therapies gain prominence, queer and non-binary individuals remain largely marginalized within this emerging field. This Critical Interpretive Synthesis (CIS) reviews 44 empirical studies (20142024) to explore how queer experiences are represented and erased in psychedelic research. Guided by queer theory, intersectionality, and post-psychiatry frameworks, the synthesis reveals a dominant biomedical paradigm, 36.7% of studies where clinical trials often lack disaggregated data on gender-diverse participants or fail to recruit them adequately due to structural barriers or oversight. In contrast, qualitative studies (32.7%) emphasized identity affirmation, somatic healing, and community care. Yet, only 10.2% of research meaningfully addressed intersecting oppressions. Three core themes emerged: clinical exclusion and epistemic violence, embodied healing through altered states, and grassroots queer psychedelic practices. The findings call for queer-affirming, intersectional, and decolonial methodologies that center lived experience and politicized healing. Reimagining psychedelic science through justice-based lenses is vital to ensuring these therapies serve as pathways to collective liberation rather than reinforce systemic marginalization. 2025 The Author(s). Open Access statement. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes if any are indicated. -
Queering Doctor Who and Supernatural: An ecofeminist response to Bill Potts and Charlie Bradbury
Both Bill Potts from Doctor Who and Charlie Bradbury from Supernatural are iconic lesbian characters who have irreversibly changed the landscape of the long-running shows in which they are featured: the first queer character to appear on Doctor Who as a companion since Captain Jack Harkness, Bill Potts, is the shows first lesbian character to feature in a starring role. Her story arc is bookended by her relationship with Heather, who is first encountered in Bills first episode on the series and who returns to save Bills life at the end of her time as the Doctors companion. Heathers association with what appears to be water or oil-but is eventually revealed to be an alien life force resembling a liquid-is a significant factor in her transition from human to trans-human, and the elemental force that she becomes may be related to the transcendentalist roots of ecocritical discourse. Similarly, Charlie Bradburys role as the Queen of Moondor, a Live Action Role Playing arena, and her subsequent encounter with the faerie Gilda may be viewed in the context of the correlation of geek culture and the return to the natural, pre-industrial/pre-technological world of the episode LARP and the Real Girl (2013). These analyses are examined through an ecofeminist lens that consists primarily of approaches to ecofeminism in the twenty-first century. As Greta Gaard observes in her 2011 essay Ecofeminism Revisited: Rejecting Essentialism and Re-Placing Species in a Material Feminist Environmentalism, " ecofeminism in the late twentieth century declined because of charges of gender essentialism. However, given the emergence of areas such as animal studies, vegan studies, and speciesism, ecocriticism has again risen to prominence in the field of gender studies, and perhaps one way of avoiding the charge of essentialism is to place ecofeminist criticism within the larger framework of questions relating to a pluralistic and queer sense of gender and sexual identities. In this, both Bill and Charlie lend themselves to interpretations based on emerging discourses in ecocritical queer studies. 2021 selection and editorial matter, Douglas A. Vakoch. -
Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models
Teaching machines to read and learn natural language documents and seek answers to questions is an elusive task. Traditional question-answering systems were based on rule-based and keyword-searching algorithms without proper natural language understanding. Machine reading comprehension (MRC) belongs to reading comprehension models and facilitates the machines learning from context. MRC can infer the answer from the context through language understanding. Neural machine reading comprehension has built reading comprehension models by employing the advancements of deep neural networks that have shown unprecedented performance compared to other non-neural and feature-based models. The article comprises the MRC span extraction tasks using Transformer models and, in addition, the illustration of the MRC tasks, trends, modules, benchmarked datasets, implementation, and empirical results. 2024 selection and editorial matter, Muskan Garg, Sandeep Kumar and Abdul Khader Jilani Saudagar chapters. -
Quick and Effective: Exploring the Prominence of Social Media Stories and Short Videos Destination Digital Marketing
This paper explores the transformative role of social media stories and short videos in tourism digital marketing, focusing on their evolution, advantages, and influence on destination promotion. Through a comprehensive review of secondary literature, key developments in social media storytelling are traced, highlighting the emergence and evolution of stories and short videos. The benefits of these formats for destination promotion are analyzed, emphasizing their ability to capture audience attention, evoke emotional responses, and inspire travel decisions in ways that traditional media channels cannot match. Furthermore, the broader influence of social media storytelling on the tourism industry along with key challenges are examined, with a specific focus on marketing prospects and future directions. Insights are drawn from case studies, industry reports, and expert opinions to provide strategic recommendations for tourism stakeholders seeking to harness the power of stories and short videos in their marketing strategies. 2025, IGI Global. -
QuiltCraft: A Computer Vision Framework for Sustainable Upcycling Waste Textiles into Artistic Quilts
QuiltCraft represents a pioneering approach where we aim to mitigate the pervasive childrens cloth crisis by ingeniously repurposing discarded cloth into captivating and artistic quilts. By harnessing the power of computer vision techniques, predominantly facilitated by using OpenCV and various Python libraries, our innovative system streamlines the intricate process of identifying cloth sizes, segmenting them into manageable pieces, and orchestrating their arrangement into visually stunning quilt designs. This paper explores the methodology, algorithms, and intricate implementation details underpinning the Quilt Craft framework, supplemented by empirical evidence attesting to its remarkable effectiveness. Through the seamless transformation of childrens clothes into captivating works of art, QuiltCraft not only champions the cause of waste reduction but also catalyzes advancing sustainable practices within the fashion industry. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Quintessence and false vacuum: Two sides of the same coin?
We studied the late-time acceleration scenarios using a quintessence field initially trapped in a metastable false vacuum state. The false vacuum has non-zero vacuum energy and can drive exponential expansion if not coupled with gravity. Upon decay of the false vacuum, the quintessence field is released and begins to evolve. We assumed conditions where the effective scalar potential gradient must satisfy ?Veff>A, characterised by a pressure term approximately ?p/p>O(?) invoking the string swampland criteria. We then derived the effective potential of the scalar with an upper bound on the coupling constant ?<0.6. Further analysis revealed that Veff shows a slow-roll behaviour for 0.1>?>-0.04 in the effective dark energy equation of state (EoS) -0.8 -
QuintessenceChameleon transitions in anisotropic Kiselev model of neutron stars
We investigate a chameleon scalar field dynamically interacting with a Kiselev-type metric, where the static anisotropic fluid part of the metric is replaced by a density-dependent scalar field nonminimally coupled to curvature. This construction enables a transition from screened behavior in high-density regions where the scalar acquires an effective mass m???1?2 to unscreened quintessence dynamics at large scales, characterized by a critical screening radius rcrit?m??1. By solving the modified TolmanOppenheimerVolkoff equations under spherical symmetry, we show that radial scalar gradients (?r?) induce pressure anisotropies (?p?r?1) in neutron star envelopes, while deviations from general relativity (GR) are suppressed deep in the core (r -
Quorum quenching for biocontrol of plant diseases
Bacterial pathogens have become a significant threat to world agriculture, causing tremendous crop losses and economic instability. The traditional mode of disease control by chemical pesticides is quickly becoming obsolete with resistant strains and environmental issues. Quorum quenching (QQ) is thus a promising alternative that is sustainable enough to target the bacterial communication system known as quorum sensing (QS). QS enables bacteria to coordinate their virulence factors, biofilm formation, and host colonization according to population density. Attenuating bacterial virulence is achieved through QQ by enzymatic degradation, signal molecule mimicry, or inactivation of autoinducers but without directly killing the pathogens, thereby not allowing resistance. This chapter describes the mechanism of QQ and several applications of this principle in controlling plant diseases through biocontrol agents. Enzymatic hydrolysis catalyzed by lactonases, acylases, and oxidoreductases inactivate autoinducers that include acyl-homoserine lactones and autoinducer-2 (AI-2). Mimicry of QS signal molecules is through synthetic or natural analogs that competitively inhibit QS receptors; sequestration occurs when autoinducers are captured to avert their involvement in QS. QQ is quite efficient in the lab and the field, both as microbial biocontrol agents against the pathogens Pectobacterium carotovorum and Xanthomonas campestris, as well as in transgenic plants expressing QQ enzymes. QQ still faces challenges in developing resistance, delivering QQ enzymes, and integrating with integrated pest management strategies. Future research could be concentrated on optimizing QQ strategies, designing new enzymes with better stability and specificity, and assessing the environmental impact of QQ-based biocontrol. Breakthroughs in synthetic biology and protein engineering would give way to new opportunities in the form of more potent biocontrol agents. The method of disease control in an environment-friendly manner and ensuring food security across the globe will be targeted by overcoming the challenges and through novel research with QQ-based biocontrol. 2026 Elsevier Inc. All rights reserved. -
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
Classical self-supervised networks suffer from convergence problems and reduced segmentation accuracy due to forceful termination. Qubits or bilevel quantum bits often describe quantum neural network models. In this article, a novel self-supervised shallow learning network model exploiting the sophisticated three-level qutrit-inspired quantum information system, referred to as quantum fully self-supervised neural network (QFS-Net), is presented for automated segmentation of brain magnetic resonance (MR) images. The QFS-Net model comprises a trinity of a layered structure of qutrits interconnected through parametric Hadamard gates using an eight-connected second-order neighborhood-based topology. The nonlinear transformation of the qutrit states allows the underlying quantum neural network model to encode the quantum states, thereby enabling a faster self-organized counterpropagation of these states between the layers without supervision. The suggested QFS-Net model is tailored and extensively validated on the Cancer Imaging Archive (TCIA) dataset collected from the Nature repository. The experimental results are also compared with state-of-the-art supervised (U-Net and URes-Net architectures) and the self-supervised QIS-Net model and its classical counterpart. Results shed promising segmented outcomes in detecting tumors in terms of dice similarity and accuracy with minimum human intervention and computational resources. The proposed QFS-Net is also investigated on natural gray-scale images from the Berkeley segmentation dataset and yields promising outcomes in segmentation, thereby demonstrating the robustness of the QFS-Net model. 2012 IEEE. -
Rabindranath Tagore 1861-1941
The Indian Postal Department released the first stamp on Tagore in 1952, as part of a set of six stamps on leading poets and saints of India, Kabir, Tulsidas, Meera, Surdas, Mirza Ghalib and Rabindranath Tagore. These stamps were the first to be printed, using the photogravure technology in place of the lithographic one.