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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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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 -
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. -
A ratiometric fluorescent sensor based on dual-emissive carbon dot for the selective detection of Cd2+
Cadmium (Cd2+), a heavy metal ion used in numerous industries, has toxic adverse effects on the environment; it is crucial to develop a quick and reliable method for Cd2+ determination. Fluorescent biomass-derived carbon quantum dots (CD) with rich carboxyl groups on the surface were synthesized using water amaranth leaves by hydrothermal method with a 12.1% quantum yield. The surface of CD was further modified with 1-pyrene carboxaldehyde (PC) to synthesize pyrene carboxaldehyde-carbon quantum dots (PC-CD). This study developed a fluorescent ratiometric nanosensor using a covalently functionalized CD with pyrene derivative and demonstrates highly selective identification capability towards Cd2+ over competing metal ions. The Nano sensor has significant selectivity towards Cd2+ in an excellent linear range of 0-70 ?M with a detection limit as low as 15 nM and demonstrates excellent water solubility and biocompatibility. Transmission electron spectroscopy (TEM), Fourier Transform infrared spectroscopy (FT-IR), and X-ray photon spectroscopy (XPS) were used to identify the surface functionalization of PC-CD. Finally, the developed ratiometric sensor was used for detecting Cd2+ metal ions from various water effluents. 2023 Elsevier Ltd. -
Fluorescein Based Fluorescence Sensors for the Selective Sensing of Various Analytes
Fluorescein molecules are extensively used to develop fluorescent probes for various analytes due to their excellent photophysical properties and the spirocyclic structure. The main structural modification of fluorescein occurs at the carboxyl group where different groups can be easily introduced to produce the spirolactam structure which is non-fluorescent. The spirolactam ring opening accounts for the fluorescence and the dual sensing of analytes using fluorescent sensors is still a topic of high interest. There is an increase in the number of dual sensors developed in the past five years and quite a good number of fluorescein derivatives were also reported based on reversible mechanisms. This review analyses environmentally and biologically important cations such as Cu2+, Hg2+, Fe3+, Pd2+, Zn2+, Cd2+, and Mg2+; anions (F?, OCl?) and small molecules (thiols, CO and H2S). Structural modifications, binding mechanisms, different strategies and a comparative study for selected cations, anions and molecules are outlined in the article. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Weakly Non-linear Stability Analysis of Triple-Diffusive Convection in a Bi-viscous Bingham Fluid Layer with Cross-Diffusion Effects
The paper investigates the impact of cross-diffusion on triple-diffusive convection in a bi-viscous Bingham fluid layer. Non-linear stability analysis is performed, and the expression of the critical-Rayleigh-number is obtained, resulting in an analytical solution of the Ginzburg-Landau model (GLM). The coefficients in the GLM involve the scaled Rayleigh-number, the solutal Rayleigh-numbers, the solutal diffusivity rates, the bi-viscous Bingham fluid parameter, and the cross-diffusion parameters. The solutal Rayleigh-numbers, the solutal diffusivity rates, and the bi-viscous Bingham fluid parameter alone determine the critical-Rayleigh-number, which provides the condition for the stationary onset. The neutral curves for the stationary mode are examined. It is found that the solutal diffusivities and bi-viscous Bingham fluid parameter advance the onset of convection, whereas the solutal Rayleigh-numbers delay it. The Nusselt number, Nu, and the Sherwood numbers, Sh1 and Sh2, determine the heat- and mass-transfer rates obtained for the convection system. We see that Nu, Sh1 and Sh2 increase with an increase in the values of the bi-viscous Bingham fluid parameter. Also, we observe that increase in the Prandtl number effect increases them, and the same is true of the solutal Rayleigh-numbers, whereas the opposite impact on Nu, Sh1 and Sh2 is seen for solutal diffusivities, Soret and cross-diffusion parameters. In general, we observe that mass-transfer is more than the heat-transfer (Sh1>Sh2>Nu) depending on the value of diffusivities. The Author(s), under exclusive licence to Springer Nature India Private Limited 2024. -
Analytical study of triple diffusive convection in a bi-viscous Bingham fluid layer using Ginzburg-Landau model
In this paper, considering bi-viscous Bingham as the base fluid, we study the thermophysical-properties (such as density, specific heat, thermal conductivity, thermal diffusivity, and thermal expansion) with different combinations of salts among NaCl, KCl, CaCl2, and NaCl2 of triple diffusive convection in a bi-viscous Bingham fluid layer with heat as one of the diffusing components. A weakly non-linear case is formulated to facilitate a solution to the problem using a series solution Ginzburg-Landau model. With regard to single, double, and triple diffusive convection, the tables are made to record the actual values of thermophysical-properties together with the critical Rayleigh-number for each combination of aqueous-salt solutions. This computation calculates the mean Nusselt and Sherwood numbers to quantify the systems heat- and mass-transfers for various aqueous-solutions. The effect of the bi-viscous Bingham fluid parameter, for small and large values, for different aqueous-solutions, in single, double, and triple diffusive convection has been captured via 2-dimensional (2D) and 3-dimensional (3D) figures and the results are recorded and compared. The investigation reveals that the heat- and mass-transfers increase with an increase or decrease in the bi-viscous Bingham fluid parameter, which in turn depends on the values of (Formula presented.) and (Formula presented.) The results confirm that the heat- and mass-transfers are least for the combination of KCl with CaCl2 and maximum for the combination of NaCl with other salts. 2024 Taylor & Francis Group, LLC.