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Dual ion specific electrochemical sensor using aminothiazole-engineered carbon quantum dots
A novel electrochemical sensor capable of concurrently detecting Pb2+ and Hg2+ ions has been innovatively engineered. This sensor utilizes the anodic stripping voltammetry technique (ASV) with a composite consisting of carbon quantum dots and aminothiazole (CQD-AT). In this composite, both the carbon quantum dots and aminothiazole contribute significantly to the electroactive surface area, boasting an abundance of functional groups that include oxygen and nitrogen atoms. These functional groups serve as active sites that enhance sensor sensitivity by facilitating the electrostatic interaction-based adsorption of heavy metal ions. Aminothiazole surface is evenly covered with CQDs, which are essential for metal gets reoxidized into metal ions for stripping analysis. Due to this unique modification, the Pb2+ and Hg2+ electrochemical sensor using the CQD-AT composite coated on carbon fiber paper electrode (CQD-AT/CFP) exhibits superior analysis performance such as wide linear range (0.6 1011160 106 M) for Pb2+ and Hg2+ with a limit of detection (LOD) of 3.0 pM and 6.2 pM for Pb2+ and Hg2+. CQD-AT/CFP modified electrode can be considered as a potential material for electrochemical simultaneous determination of Pb2+ and Hg2+ in different water samples. 2023 Elsevier B.V. -
Biomass derived carbon quantum dots embedded PEDOT/CFP electrode for the electrochemical detection of phloroglucinol
Carbon nanocomposites have garnered a lot of attention among various nanomaterials due to their distinct characteristics, such as large surface area, biocompatibility, and concise synthetic routes. They are also a viable contender for electrochemical applications, notably sensing, due to their intriguing electrochemical features, which include large electroactive surface area, outstanding electrical conductivity, electrocatalytic activity, and high porosity and adsorption capability. Herein, an electrochemical sensor for phloroglucinol (PL) was designed using a CFP electrode modified with biomass-derived carbon quantum dots (S-CQD) doped on conducting organic polymer poly(3,4-ethylene dioxythiophene) (PEDOT) via electrodeposition method. The obtained nanocomposite (S-CQD+PEDOT) on the CFP electrode possesses a high surface area. The higher electrocatalytic activity of S-CQD and significant conductivity of PEDOT- modified electrode enhance the electrocatalytic activity for the phloroglucinol oxidation. The oxidation peak current of PL shows a higher response on the finally modified electrode than the other electrodes. The developed electrochemical sensor for the selective and sensitive detection of PL showed a good linear range of 36 -360 nM and a detection limit of 11 nM. The modified electrodes were characterized using Transmission electron spectroscopy (TEM), Fourier Transform infrared spectroscopy (FT-IR), and X-ray photon spectroscopy (XPS). Finally, the developed method was successfully used to detect Phloroglucinol from industrial effluents with RSD (0.841.02%) and (98.5101.2%) of recovery. 2023 -
An Efficient Inclusion Complex Based Fluorescent Sensor for Mercury (II) and its Application in Live-Cell Imaging
The formation of an inclusion complex between hydroxypropyl-?-cyclodextrin (H-CD) and 4-acetylphenyl-4-(((6-chlorobenzo[d]thiazol-2-yl)-imino)-methyl)-benzoate (L) was investigated by FT-IR, 1H-NMR, X-ray diffraction (XRD), FT-Raman, scanning electron microscope (SEM) techniques in the solid-state, absorption and emission spectroscopy in the liquid state and the virtual state as molecular docking technique. The binding properties of the inclusion complex (H-CD: L) with cations in deionized water was observed via absorbance and photoluminescence (PL) emission spectroscopy. The fluorescence probe (H-CD: L) inclusion complex (IC) was examined for several heavy metal cations, and identified that the PL emission wavelength of the complex displayed a continuous rise in the fluorescence intensity for Hg2+. A linearity range of 1 108 11 108M and limit of detection value of 2.71 1010M was found to be achieved for the detection of Hg2+. This outcome proves that the inclusion complex H-CD: L would be a promising material for the development a solid-state fluorescence probe for detecting Hg2+. It also shows application in real sample analysis and cell imaging. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
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Identification of negative comments from positive sentences through data analysis
Social media has become a part, where people say what they think. It has made remarkable condition for individuals to impart their thoughts to the world. More consumers are writing their reviews which help people to make decisions about the quality and whether they should purchase the product. With respect to distinguishing perspectives out of this immense pool of conclusions, it turns into a laborious task and doing it physically is in every practical sense impossible. When we want to purchase things the best way to choose the finest product is to rely upon the opinions of others who already purchased those items. Sentiment analysis is utilized to choose whether the author's view is positive, negative, or neutral towards a specific item. This paper provides a review of apple mobile phone where we find polarity of a product based on scoring. We also worked on identifying negative comments in a positive sentence. We found the count of different polarity of words from overall positive feedbacks and stored the negative words so that we can identify which feature of the product is not acceptable and should be work with. We are representing our final result using wordcloud where we can detect which features has flaws. IAEME Publication. -
Exploring the Roots of Customer Adaptability Through the Landscape of Physical Retail Environments
This research delves into the intricate dynamics of customer adaptability within the realm of brick-and-mortar retail, examining the pivotal role of managing customer knowledge capabilities. As traditional retail spaces evolve in response to technological advancements and shifting consumer behaviors, understanding the antecedents of customer agility becomes paramount. Drawing on insights from customer knowledge management literature and retail studies, this paper elucidates the nuanced interplay between customer adaptability and the strategies employed to harness and leverage customer knowledge. Through a comprehensive analysis of the contextual landscape of physical retail environments, we uncover the underlying factors that influence customer adaptability. By illuminating these connections, this study offers valuable insights for practitioners and scholars alike, contributing to a deeper understanding of how organizations can effectively navigate the evolving retail landscape to enhance customer experiences and foster sustainable growth. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Exploring the Roots of Customer Adaptability Through the Landscape of Physical Retail Environments
This research delves into the intricate dynamics of customer adaptability within the realm of brick-and-mortar retail, examining the pivotal role of managing customer knowledge capabilities. As traditional retail spaces evolve in response to technological advancements and shifting consumer behaviors, understanding the antecedents of customer agility becomes paramount. Drawing on insights from customer knowledge management literature and retail studies, this paper elucidates the nuanced interplay between customer adaptability and the strategies employed to harness and leverage customer knowledge. Through a comprehensive analysis of the contextual landscape of physical retail environments, we uncover the underlying factors that influence customer adaptability. By illuminating these connections, this study offers valuable insights for practitioners and scholars alike, contributing to a deeper understanding of how organizations can effectively navigate the evolving retail landscape to enhance customer experiences and foster sustainable growth. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Mediating Effect of WorkLife Integration on the Relationship Between Hybrid Work Practice and Work Engagement in the Information Technology Industry
Post-pandemic, hybrid work arrangements have garnered the interest of researchers. The main aim of the study is to explore the influence of hybrid work practices on worklife integration and work engagement among IT industry employees. The job demandsresources (JD-R) model and self-determination theory (SDT) have been used to derive the conceptual model to explain the hybrid work practices which can be essential for a balance between work and life, and engagement at work. Using a mixed method, this research first quantitatively investigated hybrid work practices, worklife integration and work engagement among 253 IT employees in India. The quantitative findings were supplemented by a qualitative methodology involving interviews of five IT employees. Later, data triangulation was performed to cover IT employees different perspectives on hybrid work practices. This research highlights that hybrid work practices constituting conventional workplace, work flexibility, work focus and work communication are positively related to worklife integration and employees work engagement. Hybrid work practices play an elemental role in work-related outcomes; however, due to the complex nature of hybrid work mode, longitudinal studies with a larger sample size should be explored. The Author(s) 2025. -
The Mediating Effect of WorkLife Integration on the Relationship Between Hybrid Work Practice and Work Engagement in the Information Technology Industry
Post-pandemic, hybrid work arrangements have garnered the interest of researchers. The main aim of the study is to explore the influence of hybrid work practices on worklife integration and work engagement among IT industry employees. The job demandsresources (JD-R) model and self-determination theory (SDT) have been used to derive the conceptual model to explain the hybrid work practices which can be essential for a balance between work and life, and engagement at work. Using a mixed method, this research first quantitatively investigated hybrid work practices, worklife integration and work engagement among 253 IT employees in India. The quantitative findings were supplemented by a qualitative methodology involving interviews of five IT employees. Later, data triangulation was performed to cover IT employees different perspectives on hybrid work practices. This research highlights that hybrid work practices constituting conventional workplace, work flexibility, work focus and work communication are positively related to worklife integration and employees work engagement. Hybrid work practices play an elemental role in work-related outcomes; however, due to the complex nature of hybrid work mode, longitudinal studies with a larger sample size should be explored. The Author(s) 2025. -
f(Q) gravity as a possible resolution of the H0 and S8 tensions with DESI DR2
The symmetric teleparallel framework brings about the possibility of alleviating cosmological tensions. The current burning issue in cosmological studies is the increase in discrepancies in measurements from several surveys. Here, we have focused on and tensions, which are important factors in describing the evolution of the Universe from primordial perturbation to late-time acceleration. Additionally, the consistency of the sound horizon is verified against the Planck results. The gravity model is constrained using recently obtained data. Implementing gravitational wave data to study late-time acceleration is one of the key features of our study. Since standard sirens show promising results, the implementation of gravitational waves to probe dark energy is an interesting study. Through our work, we introduce this possibility by performing statistical MCMC analysis for late-time cosmological evolution. Also, the and tensions are explored utilizing gravitational wave data alongside other prominent datasets, such as the latest DESI BAO, redshift space distortion, cosmic chronometers, Pantheon+SH0ES, and cosmic microwave background data. With the results obtained, we analyzed the profile of cosmological parameters. Finally, the study presents the tension of the model with observations, which is found to have a much lower magnitude compared to the current trend. Thus, the considered f(Q) model alleviates tension, making it the best candidate for further investigation. The Author(s) 2025. -
Model-Independent Cosmography with Logarithmic Polynomial using Recent Observational Data
The accelerated expansion of the Universe remains a fundamental challenge in cosmology, motivating model-independent methods to reconstruct its expansion history without relying on specific dark energy models. Cosmography, which employs series expansions of cosmological observables around the present epoch, provides a powerful kinematic framework rooted in the cosmological principle. However, standard Taylor expansions suffer from limited convergence at high redshift, prompting the exploration of alternative expansions. In this work, logarithmic polynomial cosmography is investigated, which expands observables in powers of the logarithm of redshift, thereby enhancing convergence over a broad redshift range while maintaining physical insight. The logarithmic polynomial parameters are constrained using recent datasets, including gravitational-wave standard sirens, DESI DR2, cosmic chronometers, and multiple Type Ia supernova compilations (DES-SN5YR, Union3, Pantheon+SH0ES). The analysis demonstrates the efficacy of the logarithmic approach in accurately modeling the cosmic expansion history, providing an interpretable alternative to traditional cosmographic techniques. 2026 Wiley-VCH GmbH. -
Cosmic acceleration from topological fluctuations of quantum spacetime
The observed late-time acceleration of the Universe challenges our understanding of gravity and the quantum vacuum. We investigate the framework of Topological Dark Energy, where cosmic acceleration emerges not from a fundamental cosmological constant or exotic fields, but from the topological structure of quantum spacetime. In this picture, the vacuum is a dynamic spacetime foam in which gravitational instantons-non-perturbative configurations in Euclidean quantum gravity-nucleate and alter global topology. The cumulative effect of these processes, coupled to macroscopic gravity through the Gauss-Bonnet invariant, yields a dynamical effective cosmological constant, ?eff. Its sign and magnitude are determined by the statistical ensemble of instantons, allowing the dark energy equation of state to evolve across the phantom divide. By embedding the Topological Dark Energy in a FriedmannLemareRobertsonWalker background, we derive its background and linear perturbative cosmological dynamics and confront the model with DESI DR2 BAO, Union3 supernova, and Planck CMB data. The results show that Topological Dark Energy is observationally viable, reproducing key features of the expansion history while offering a theoretically motivated alternative to ?CDM. 2026 Elsevier B.V. -
The Mediating Role of Attitude Towards Behaviour Between Brand Image and Purchase Intention: Evidence from Indias Housing Market
This study investigates the association between Brand Image, Attitude Toward Behaviour, and Purchase Intention within the Indian real estate sector. The research employs the Theory of Planned Behaviour (TPB) to examine the impact of brand image on purchase intention, with attitude toward behaviour serving as a mediating role. Data were gathered from 422 respondents. The collected data is inspected using Structural Equation Modeling (SEM hereafter) utilising JMP Software. The findings demonstrate that brand image has a substantial effect on purchase intention, both directly as well as indirectly, via attitude towards behaviour. The results emphasize the need to establish a robust brand image to cultivate favourable consumer perceptions and influence purchasing decisions, providing essential insights for real estate developers in a competitive landscape. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
The Impact of Environmental Attributes on Purchase Intention Towards Sustainable Housing
The increasing environmental issues have remoulded consumer behaviour, forcing a shift towards sustainable consumption in the real estate sector. Prior research has focused more on demographic factors and environmental awareness as the main factors for eco-friendly purchases. However, there still exist gaps in acknowledging how certain specific environmental attributes impact purchase intention and, more specifically, the mediating role of consumer attitude towards behaviour concerning real estate sector. This current study uses the Theory of Planned Behavior framework to examine the influence of environmental attributes on purchase intentions for sustainable housing. The analysis has been performed using IBM SPSS Statistic Version 30 and JMP software. The findings show a significant impact of environmental attributes on purchase intention, and the mediation effect of attitude towards behaviour also leaves a significant impact between environmental attributes and purchase intention. These findings will also help contribute to the literature on sustainable housing by linking environmental attributes with consumer behavioural theory. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Structural Modelling of Homebuyer Behavior in The Residential Housing Market
Rapid urbanization has significantly increased the demand for residential housing, underscoring the need for real estate retailers to comprehend the factors that drive homebuyers' purchasing behavior. This study employs a Structural Equation Modelling (SEM) framework to examine the critical determinants of purchase intention within the residential real estate sector. Key constructs analyzed include housing attributes, financial and economic considerations, location and service quality, environmental concerns, brand image, and information sources. The SEM analysis elucidates the strength and significance of the relationships among these variables, providing a comprehensive understanding of consumer decision-making processes. The findings yield actionable insights for real estate practitioners, offering guidance for the development of targeted marketing strategies, enhanced customer engagement practices, and improved service delivery. By aligning their offerings with buyer expectations, real estate firms can foster stronger client relationships and enhance their competitive positioning in a dynamic housing market. Authors. -
Machining Characteristics Evaluation of Al7075TiB2 In Situ Composite Using Abrasive Water Jet Machining with Varied Test Parameters
The study delves into the abrasive water jet (AWJ) cutting of an Al7075TiB2 metal matrix composite that was synthesized in situ. The primary goal is to investigate how variations in three key process parameters, namely, stand-off distance (SOD) ranging from 0.5 to 2.5 mm, abrasive flow rate (100 to 300 g min), and traverse speed (100 to 500 mm min), affect three critical performance metrics: volumetric material removal rate (VMRR), dimensional accuracy, and surface roughness (SR). The studys findings were represented graphically, highlighting the relationships between these responses and the aforementioned process parameters. Scanning electron microscopy (SEM) was also used to examine the machined surfaces. It was discovered that increasing traverse speed resulted in significant increases in surface roughness, VMRR, and dimensional errors. An increase in the SOD, on the other hand, resulted in an increase in surface roughness, VMRR, and a decrease in dimensional accuracy. Furthermore, increasing the abrasive flow rate resulted in lower surface roughness and dimensional accuracy while achieving a higher VMRR. The Institution of Engineers (India) 2023. -
Remote work realities: A comprehensive study on individual choices and task accomplishments
The global work landscape has undergone a paradigm shift with the widespread adoption of telecommuting, a transformation further accelerated by the COVID- 19 pandemic. This research delves into the intricate dynamics of telecommuting, focusing on the impact of individual characteristics on the choice to work remotely in the post- pandemic era. It reveals that gender significantly influences telecommuting preferences, while age and years of experience do not show a discernible impact. Beyond individual factors, the study examines how telecommuting attitudes affect task accomplishment, highlighting substantial effects on goal attainment and underscoring the need to understand work arrangement's complexities. Additionally, the research explores the diverse strategies employed by employers and employees, illustrating successful approaches to remote work. Ultimately, this study navigates the evolving telecommuting landscape, offering insights into challenges and achieve-ments, and provides a foundation for future research on telecommuting's impact on work practices and individual well- being. 2024, IGI Global. All rights reserved. -
High-affinity binding of celastrol to monomeric ?-synuclein mitigates invitro aggregation
?-Synuclein (?Syn) aggregation is associated with Parkinsons disease (PD). The region ?Syn36-42 acts as the nucleation 'master controller and ?Syn1-12 as a secondary nucleation site. They drive monomeric ?Syn to aggregation. Small molecules targeting these motifs are promising for disease-modifying therapy. Using computational techniques, we screened thirty phytochemicals for ?Syn binding. The top three compounds were experimentally validated for their binding affinity. Amongst them, celastrol showed high binding affinity. NMR analysis confirmed stable ?Syn-celastrol interactions involving several residues in the N-terminus and NAC regions but not in the C-terminal tail. Importantly, celastrol interacted extensively with the key motifs that drive ?Syn aggregation. Thioflavin-T assay indicated that celastrol reduced ?Syn aggregation. Thus, celastrol holds promise as a potent drug candidate for PD. Communicated by Ramaswamy H. Sarma. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Mathematical modeling to investigate the influence of vaccination and booster doses on the spread of Omicron
The emergence of new variants, such as Omicron, has raised concerns regarding the transmission dynamics of COVID-19 and the effectiveness of vaccination strategies. This paper proposes a mathematical model to investigate the impact of vaccination and booster doses on Omicron transmission dynamics, considering various infection compartments. The model incorporates multiple compartments representing different stages of infection, including susceptible individuals, vaccinated individuals, boosted individuals, and those infected with Omicron. The infection dynamics are captured by parameters such as vaccine efficacy, vaccination with booster received efficacy, and infection rate. Using mathematical analysis and numerical simulations, we explore how different vaccination and booster strategies affect the spread of Omicron. The normalized sensitivity analysis method of R0 is investigated to understand the importance of parameters in disease transmission. Furthermore, we assess the influence of infection compartments, such as asymptomatic and symptomatic cases, on overall transmission dynamics. 2023 Elsevier B.V. -
Modelling temperature-dependent malaria transmission vector model considering different levels of immunity in host population
Malaria is spread by female Anopheles mosquitoes, which complete their life cycle by feeding on human blood. Parasites from the mosquito's saliva enter the human bloodstream through a mosquito bite. Thus, the link between humans and mosquitoes to parasites is established. According to WHO statistics, malaria appears widespread in tropical and subtropical locations around the equator, including most of Sub-Saharan Africa, Latin America, and Asia. The most prevalent causes of malaria transmission might be amicable temperature, which aids in the growth of the mosquito life-cycle, and a failure to maintain the local socio-economic condition, which reduces individual immunity. This study proposes the vector-host model to understand the spread of malaria infection. A vector model is used to understand the effects of temperature on the development of egg, larval, pupal, and adult mosquito populations. Furthermore, the role of immunity is being explored using the host model. Numerical simulations support the influence of temperature on disease transmission. The study draws attention to the fact that, along with issues like global warming and climate change, managing the socio-economic conditions of the area (healthcare facilities, environmental improvement) is essential for malaria eradication. CSP - Cambridge, UK; I&S - Honda, USA, 2023