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Probing star formation in five of the most massive spiral galaxies observed through ASTROSAT UltraViolet Imaging Telescope
We present highly resolved and sensitive imaging of the five nearby massive spiral galaxies (with rotation velocities > 300 km s?1) observed by the UltraViolet Imaging Telescope onboard Indias multiwavelength astronomy satellite ASTROSAT, along with other archival observations. These massive spirals show a far-ultraviolet star formation rate in the range of ? 1.4 13.7 M? yr?1 and fall in the Green Valley region with a specific star formation rate within ? 10?11.5 10?10.5 yr?1. Moreover, the mean star formation rate density of the highly resolved star-forming clumps of these objects is in the range 0.011 0.098 M? yr?1 kpc?2, signifying localized star formation. From the spectral energy distributions, under the assumption of a delayed star formation model, we show that the star formation of these objects had peaked in the period of ? 0.8 2.8 Gyr after the Big Bang and the object that has experienced the peak sooner after the Big Bang show relatively less star-forming activity at z ? 0 and falls below the main-sequence relation for a stellar content of ? 1011 M?. We also show that these objects accumulated much of their stellar mass in the early period of evolution with ? 31 42 per cent of the total stellar mass obtained in a time of (1/16) (1/5)th the age of the Universe. We estimate that these massive objects convert their halo baryons into stars with efficiencies falling between ? 7 and 31 per cent. 2024 Oxford University Press. All rights reserved. -
Exploring White Knight Syndrome in an Indian Setting: A Grounded Theory Approach
White knights are individuals who enter into romantic relationships with damaged and vulnerable partners, hoping that love will transform their partners behaviour or life. Existing literature on white knight is limited to a handful of studies, primarily based on Western population. The present research aimed at developing a substantive theory on white knight syndrome in an Indian setting. The study follows a qualitative paradigm and the research design is grounded theory approach to be specific. Participants for the study were screened using Lamias white knight checklist. Data has been collected from eighteen young adults aged 1825years through semi-structured interviews. The data was analyzed using Strauss and Corbin grounded theory analysis. The study identified six phasespre-relationship phase, needs exploration phase, shining white knight phase, drained white knight phase, golden realization phase, and finally delayed breakup. Along with the phases, the study identified factors, characteristics, and types of white knight. The study has implications in the clinical and counselling field in identifying and understanding white knight tendencies. Additionally, the theory is applicable in the Indian setting highlighting the intricate interaction between culture, norms, roles, and the recent social factors. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. -
Improvised hand layup fabrication of alkali treated jute epoxy composites: A comparative study of positive and vacuum-assisted compaction
There lie several benefits of using fiber composites which have increased the desire for using these materials in various higher-level applications. They have been widely used in automobile sector, aerospace, sports industry, medical field, and so on. This has created a demand for better manufacturing techniques with cost-effectiveness. This work has been focused on improvising the hand layup procedure. To enhance the properties of the samples prepared by this conventional method, surface treatment was incorporated. Woven jute fiber was chemically treated with KOH under various sizing conditions. Hand layup was carried out for the samples followed by applying pressure considering two different methods; vacuum- assisted compaction and positive compaction. The jute composites prepared by the positive compaction hand layup technique were found to be better than the vacuum-assisted or negative compaction composites for the same set of sizing samples. There is a maximum increase of 32.4% in the tensile strength of treated composites prepared by positive compaction in comparison to untreated samples. On the other hand, the values of all the treated samples showed a reduction in tensile strength with a maximum decrease of 50% than the untreated sample for the negative compaction technique. The Authors, published by EDP Sciences, 2026. -
Development and Validation of the Brief Financial Resilience Scale
Financial resilience refers to the ability to withstand and recover from financial adversity. Despite its increasing relevance, there is a notable lack of well-constructed and psychometrically validated tools to measure this construct. This study aimed to develop and validate the Brief Financial Resilience Scale (BFRS), based on Salignac et al. (Social Indicators Research, 145(1), 1738, 2019) multidimensional framework. The process involved content validation using Lawshes method, followed by item analysis, exploratory factor analysis, and confirmatory factor analysis using data from a community sample of 433 Indian millennials. The results support a two-dimensional structure: (a) financial resources and access, and (b) financial knowledge and behavior. The final 10-item BFRS demonstrated acceptable reliability (Cronbachs alpha = 0.885) and construct validity. The scale would be useful for policymakers, practitioners, and researchers in identifying vulnerabilities and design targeted interventions within diverse socioeconomic contexts. The Author(s), under exclusive licence to Springer Nature B.V. 2025. -
Studies on photophysical properties of mono-carbonyl curcumin analogues: Experimental andtheoretical approach
The solvatochromic fluorescence behaviour of mono-carbonyl curcumin analogues has been studied in ten different solvents ranging from non-polar to polar. The solvent effect on the spectral properties of analogues has been discussed. The ground state dipole moments were estimated experimentally by Bilot-Kawski equation which is a function of Stokes shift with the solvent polarity parameters and Guggenheim method and theoretically by TD-DFT studies. The excited state dipole moment was determined using Bilot-Kawski equations. The excited state dipole moments for the two molecules were found to be higher than their corresponding ground state dipole moments. Theoretically Frontier molecular orbital (HOMO/ LUMO) energies were determined by Gaussian 09 W software using TD-DFT. 2018 Oriental Scientific Publishing Company. All rights reserved. -
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Natural biotic polymer bombyx mori silk fibroin for gold nanoparticles: Fabrication, characterisations and application as colorimetric ammonia detection
Gold nanoparticles (AuNPs) were fabricated using a cost-effective and environmentally benign method, using silk fibroin (SF) as a stabilizing and reducing agent. As a natural, renewable protein polymer, silk fibroin can reduce and stabilize material as well as provide shape-tailoring agent. This resulted bio-polymer with gold nanoparticles was biodegradable, biocompatible, and very stable. Au ions are proficiently reduced to neutral Au atoms by silk fibroin, which governs the size, shape, and distribution of the nanoparticles and, consequently, their optical characteristics. The fabricated nanoparticles are very well characterized using a set of advanced analytical techniques that include UV-Vis Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Fluorescence Spectroscopy (FL). The sensing performance of ammonia in aqueous ammonia using the SF-AuNPs is presented herein based on an optical sensing approach utilizing surface plasmon resonance (SPR). It is obvious from the results that the materials synthesized have exhibited some unique plasmonic properties due to the interaction between silk fibroin and gold surfaces, hence enhanced sensitivity in colorimetric detection. The AuNPs acted as an ammonia optical sensor with a detected limit of about 1 parts per billion (ppb), very outstanding performance. Ammonia and AuNPs interact to cause a change in their surface plasmon resonance simple rapid and low-cost to realize, eco-friendly, and can find applications towards environmental monitoring and biomedical research fields for ammonia detection. 2026 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/ -
Multiple slip effects on MHD non-Newtonian nanofluid flow over a nonlinear permeable elongated sheet: Numerical and statistical analysis
Purpose: The purpose of this paper is to examine the interaction effects of a transverse magnetic field and slip effects of Casson fluid with suspended nanoparticles over a nonlinear stretching surface. Mathematical modeling for the law of conservation of mass, momentum, heat and concentration of nanoparticles is executed. Design/methodology/approach: Governing nonlinear partial differential equations are reduced into nonlinear ordinary differential equations and then shooting method is employed for its solution. The slope of the linear regression line of the data points is calculated to measure the rate of increase/decrease in the reduced Nusselt number. Findings: The effects of magnetic parameter (0=M=4), Casson parameter (0.1=?<8), nonlinear stretching parameter (0=n=3) and porosity parameter (0=P=6) on axial velocity are shown graphically. Numerical results were compared with another numerical approach and an excellent agreement was observed. This study reveals the fact that the Brownian motion parameter and boundary layer thickness have a direct relationship with temperature. Also, Brownian motion and thermophoresis contribute to an increase in the thermal boundary layer thickness. Originality/value: Despite the immense significance and repeated employment of non-Newtonian fluids in industry and science, no attempt has been made up till now to inspect the Casson nanofluid flow with a permeable nonlinear stretching surface. 2019, Emerald Publishing Limited. -
Magnetohydrodynamic flow of nano Williamson fluid generated by stretching plate with multiple slips
Purpose: The purpose of this paper is to present an exploration of multiple slips and temperature dependent thermal conductivity effects on the flow of nano Williamson fluid over a slendering stretching plate in the presence of Joule and viscous heating aspects. The effectiveness of nanoparticles is deliberated by considering Brownian moment and thermophoresis slip mechanisms. The effects of magnetism and radiative heat are also deployed. Design/methodology/approach: The governing partial differential equations are non-dimensionalized and reduced to multi-degree ordinary differential equations via suitable similarity variables. The subsequent non-linear problem treated for numerical results. To measure the amount of increase/decrease in skin friction coefficient, Nusselt number and Sherwood number, the slope of linear regression line through the data points are calculated. Statistical approach is implemented to analyze the heat transfer rate. Findings: The results show that temperature distribution across the flow decreases with thermal conductivity parameter. The maximum friction factor is ascertained at stronger magnetic field. Originality/value: In the current paper, the magneto-nano Williamson fluid flow inspired by a stretching sheet of variable thickness is examined numerically. The rationale of the present study is to generalize the studies of Mebarek-Oudina and Makinde (2018) and Williamson (1929). 2019, Emerald Publishing Limited. -
Fixed points in n-gonal graphical b-metric spaces under contractive conditions
In this paper, we will define a new metric space called n-gonal graphical b-metric space. We will also prove some fixed point theorems in said metric space and give suitable examples to illustrate our results. These results will help to solve many nonlinear convex models in machine learning and optimization by formulating them in fixed point schemes of optimization. Our paper opens the door for researchers to work in the intersecting area of machine learning and functional analysis in the frame work of n-gonal graphical b-metric space. 2023 World Scientific Publishing Company. -
MONG: An extension to galaxy clusters
The presence of dark matter (DM), though well established by indirect evidence, is yet to be observed directly. Various DM detection experiments running for several years have yielded no positive results. In view of these negative results, we had earlier proposed alternate models by postulating a minimum gravitational field strength (minimum curvature) and a minimum acceleration. These postulates led to the modified Newtonian dynamics and modified Newtonian gravity (MONG). The observed flat rotation curves of galaxies were also accounted for through these postulates. Here, we extend these postulates to galaxy clusters and model the dynamical velocity-distance curve for a typical cluster such as the Virgo cluster. The radial velocities of galaxies in the Virgo cluster are also obtained through this model. Observations show an inconsistency in the Hubble flow at a mean cluster distance of 17 Mpc, which is expected in regions of high matter density. This decrease in velocity is predicted by our model of modified gravity (MONG). The radial velocity versus distance relation for galaxies in the Virgo cluster obtained using MONG is in agreement with observations. 2022 World Scientific Publishing Company. -
Can Hubble tension be eased by invoking a finite range for gravity?
The estimation of the Hubble constant in the past few decades has increasingly become more accurate with the advancement of new techniques. However, its value seems to depend on the epoch at which the measurements are made. The Planck estimate of the Hubble constant from the observations of the cosmic microwave background radiation in the early universe is about 67km\s\Mpc, whereas that obtained from the distance indicators at the current epoch is ?73-74km\s\Mpc. This discrepancy between the two groups of measurement is termed as the Hubble tension which has gained much attention in the past few decades with growing significance as measurements from both, the early and the late universe, studies continue to produce results with increasing precision. In this work, we propose a modification to gravity by considering a finite range gravitational field as an alternate explanation for this discrepancy in the value of the Hubble constant. 2024 World Scientific Publishing Company. -
Modication of Newtonian Gravity: Implications for hot gas in clusters and galactic angular momentum
In view of the negative results from various dark matter detection experiments, we had earlier proposed an alternate theoretical framework through modication of Newtonian gravity (MONG). Here, the Poison's equation is modied by introducing an additional gravitational self-energy density term along with the usual dark energy density term. In this work, we extend this model to account for the presence of low-density gas at high temperatures 08Kin the intra cluster medium (ICM) by estimating the velocities to which particles will be subjected by the modied gravitational force. Considering that the ICM is under the inuence of the cluster's gravity, particle velocities of the ions in the ICM must be balanced by the cluster's gravitational force. The particle velocities obtained for various clusters from their temperature proles match the velocity produced by the MONG gravitational force. Thus, the increase in the gravitational potential at the outskirts of galaxies balances the thermal pressure of the ICM, maintaining hydrostatic equilibrium without invoking DM. The eect of MONG on the angular momentum of galaxies is also studied by obtaining a scaling relation between the angular momentum and the mass of a galaxy. MONG predicts a higher dependence on mass in comparison to the CDM model. This increased dependence of angular momentum on mass compensates for the halo contribution to the angular momentum. The angular momentum from MONG for galaxies from the spritzer photometry and accurate rotation curves (SPARC) database is compared to the halo angular momentum by a chi-square t technique. The correlation coecient is found to be unity, showing a replicable result. 2025 World Scientific Publishing Company. -
Renewable energy integration: Storage solutions for a sustainable future
This chapter describes how energy storage technologies provide critical services for the integration of renewable energy sources, as those sources are variable and intermittent (e.g. solar and wind). It reviews different types of storage solutions - electrochemical, mechanical and thermal - including their relative advantages and drawbacks, as well as their appropriateness for various applications. It highlights the importance of adopting different energy storage types that are tailored to different energy needs. Global Sustainability and Energy Storage: Discussing the broader implications of energy storage systems for global sustainability, such as reducing reliance on fossil fuels, lowering carbon emissions, and improving access to energy in underserved regions. Energy storage technologies are crucial to a reliable, sustainable, low- carbon energy future. 2025, IGI Global Scientific Publishing. All rights reserved. -
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Unlocking Credit Default Swaps to the Retail Investors to Boost Liquidity and Risk Diversification
Credit Default Swaps, is one of the significant contributors to the 2008 financial crash due to raise of illiquidity and its limited space to mitigate the risk, the market is dictated by few institutions across the globe. Hence the research investigates realistically by probing the credit default swaps role and contribution in the financial crash, existing gaps and current mechanism of the credit default swaps, as a result we anticipate the outcome might force us restructure the existing mechanism or possible innovative alternate models in order to boost the liquidity and to establish robust platform which helps to minimize the counterparty risk. Financial tsunami in the year 2008, alarmed researchers, regulators, economists, sovereigns and financial institutions across the globe to emphasize on the need of strong liquidity and risk mitigation or diversification model(s) for credit default swaps market reformation and the development along with creating superior confidence levels in the market. The literature review of the research acknowledged that the existing financial institutions and researchers analyzed and articulated the need of the retail investors participation in the credit default swaps market to create a strong liquidity and to mitigate counterparty risk. The anticipated restructuring or possible innovative alternate models may help to reform and to maintain the development of the credit default swaps market and also provoke superior confidence levels to boost strong liquidity and options to diversify the associated risk. The outcome of this research may also motivate the investments in the debt market which helps to enhance the debt capital markets and economies around the globe. Finally we verify the liquidity strength and degree of risk with the help of research proxies; the proxies are width of the bid and ask spread of the research outcome, as we strongly believe bid and ask spread have self illustrative power to explain the degree of liquidity and risk mathematically and statistically, the research assume multiple regression model to establish relationship between dependent variable and independent variables. Keywords: Unlocking, Credit Default Swaps (CDS), Retail Investors, Liquidity and Risk Diversification. JEL Classification: L810, G320 -
Has Indias Employment Guarantee Program Achieved Intended Targets?
This paper explores the performance of the worlds largest employment guarantee program, the Mahatma Gandhi National Rural Employment Guarantee Schemes in India, both nationally and through a sub-national-level comparison based on key performance indicators viz. (i) financial indicators, (ii) physical performance indicators, and (iii) inclusiveness indicators. The paper is based on administrative data taken from the Ministry of Rural Development from 2006 to 2019. Despite sharp increases in fund allocation, total expenditures, and utilization rates, there was deceleration in majority of physical performance indicators after 2016, including total person-days employment and person-days of employment per household, with wide variation in sub-national level implementation capabilities. The finding also rejects the falsity of saturation of MGNREGA work in the rural areas, which is reflected in a strong positive correlation between fund allocation and employment generation. Its broader objective of social safety net for vulnerable people in rural areas shows an achievement, although with some gaps in implementation. JEL classification: H53, J43, P25 The Author(s) 2021. -
Optical and Electrochromic Properties of CeO2/WO3 Hybrid Thin Films Prepared by Hydrothermal and Sputtering
Innovative chromogenic nanostructures like hybrids but also composite materials can be increased electrochromic efficiency because of their prospective application values in low-power displays, smart windows, electronic papers, and car anti-reflect mirrors. We used a hydrothermal approach to make Cerium oxide Nanorods have various ratios in this report. DC magnetron sputtering procedures cover the generated cerium oxide nanorods of various diameters with a tungsten oxide layer in one step. the surface plasmon effect varies depending on the size of Ce Nanorods, and this phenomenon impacts electrochromic results. the electrochromic performances of CeO2/WO3 nanorods on FTO-coated glass slides are examined using a 0.5 M solution of H2SO4 as the electrolyte in the visible range. These structures produce considerable optical modulation (47 %, 45 %, and 41 % at 700 nm) and coloration efficiency (11.6, 7.57, and 10.84 cm2C-1 at 700 nm). 2022 Seventh Sense Research Group -
Leaf Disease Identification in Rice Plants Using CNN Model
Rice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Fungal, bacterial and viral are different classes of diseases damaging rice crops which results in low and bad yield as per quality and quantity of the crop. Some of the most common diseases affecting plants are fungal blast, fungal brown spot, fungal sheath blight, bacterial blight and viral tungro. The deep learning CNN model with ResNet50V2 architecture was used in this paper to identify disease on the paddy leaves. Mobile application proposed in this paper will help farmers to detect disease on the leaves during their regular visit. Images were captured using this application. The captured images were tested using the trained deep learning model embedded with mobile application. This model predicts and displays input images along with the probabilities compared to each disease. The mobile application also provides necessary remedies for the identified disease with the help of hyperlink available in mobile application. The achieved probability that the model can truly classify the input image in this project was 97.67%, and the obtained validation accuracy was 98.86%. A solution with which farmers can identify diseases in rice leaves and take necessary actions for better crop yield has been demonstrated in this paper. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Classification of Diseased Leaves in Plants Using Convolutional Neural Networks
The article focuses on the classification of diseased leaves using a machine learning algorithm. The main focus in agriculture is controlling pests and weeds, for which farmers spray chemical pesticides to get a good yield. The issue here is over-usage and under-usage of pesticides, which might harm the end consumer. To achieve the goal of reducing pesticide use and detecting pests in the crop early, the machine learning algorithm is deployed on the leaf image. The image data of the leaf of the cauliflower plant is collected for 40days. The data was collected from the day the plant was seeded in a pot until the day it was ready to be planted in the soil. From this data, the pest attack on the plants is tracked without the application of pesticides. To achieve this, the CNN algorithm is used on the collected image data. The outcome of the study would be to classify the diseased leaves based on the pest attack and know the right time to spray the pesticides to reduce the damage to the plant. This also reduces the use of pesticides and costs to the farmer. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.