Browse Items (11810 total)
Sort by:
-
Electrochemical determination of Vitamin B6 using coral-like MnO2-Pi on Ti3C2Tx MXene
MXenes are 2D nanomaterials that are considered the materials of the future generation due to their high electrical conductivity, good biocompatibility, and ease of functionalization. This research work reports the electrochemical sensing of Vitamin B6 using the Manganese dioxide-inorganic phosphate/MXene brush-coated Carbon fiber paper electrode (MnO2-Pi/MXene/CFP) electrode for the first time. The three-dimensional Ti3C2Tx MXene nanosheets consisting of highly ordered, vertically aligned nanosheets with electrochemically deposited MnO2-Pi are capable of yielding a synergistic effect in combination with high electrochemical performance and large surface area of MnO2-Pi. The reported electrochemical sensor exhibited a wide linear dynamic range (0.06650 M) and a low-level detection limit of 0.021 M. An increase in the anodic peak current confirms the rapid transfer of electrons transfer arising between the Ti3C2Tx MXene and MnO2-Pi. The results attained substantiate that the fabricated sensor has enhanced selectivity, reproducibility, and stability toward the electrochemical determination of Vitamin B6 in real samples. 2023 Elsevier Ltd -
Reconfigurable non-uniform band-generating filter bank for channelizer
Multi-band channelizer system must choose a specific channel from a broad bandwidth signal. A variety of distinct wireless standards and frequency bands are used in the channelizer. Reconfigurable and non-uniform multi-channels with narrow transition widths are necessary for channelizers. In this paper, a low complexity reconfigurable non-uniform band-generating filter bank (RNBFB) is proposed for multi-band channelizer. The RNBFB is used to generate a variety of non-uniform channels with a narrow transition width. Utilising frequency response masking (FRM) and the cosine modulation (CM) approach, many non-uniform channels are created. Comparing RNBFB to other state-of-the-art techniques, RNBFB generates multi-bands for channelizer with less multiplier complexities. For a better understanding of hardware complexity, the proposed RNBFB is implemented efficiently. A multiplier-free design such as Canonical Signed Digit (CSD), Multi-Objective Artificial Bee Colony (MOABC), and Shift Inclusive Differential Coefficients (SIDC) with a Common Sub-expression Elimination (CSE) are included in the suggested strategy to further optimise the RNBFB. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Synergizing Neutrosophy and Randomized Blocks Design: Development and Analytical Insights
The design of the experiment is a strategy for effectively examining the relationship between input design parameters and process output and developing a greater understanding. A randomized block design is an experimental design that has two primary factors and is widely used in agriculture, environment, biological, animal, and food sciences, where experimental material is heterogeneous and precise. In a randomised block design, one or more observations may lose their true significance due to an accident, poor handling, pest infestations in agricultural trials, or other factors. It is prudent to treat this value as missing and estimate it. In todays practical situations, uncertainty and inaccuracies are inevitable in most research areas. It is important to handle such data, which can lead to inaccurate and unreliable results. Neutrosophy is the branch of philosophy that provides an efficient method to study impreciseness among the data. Some of the common sources of Neutrosophy in randomised block design are incorrect blocking factor selection, measurement error, subjective factors, and natural variability. It is paramount to handle the Neutrosophy in a randomised block design; otherwise, it may lead to various problems, like a high risk of false positives. In this paper, the Neutrosophic Randomised Block Design (NRBD) is introduced to tackle data impreciseness. The study also, outlines a methodology for estimating missing observations in NRBD and presents its analysis. Additionally, the study compares the efficiency of NRBD to that of the Neutrosophic Completely Randomised Design (NCRD). 2024, American Scientific Publishing Group (ASPG). All rights reserved. -
Extrinsic electronic states to tune the luminescence and bonding nature of Cs2NaInCl6 double perovskite
Halide double perovskites have been extensively investigated in recent years as more stable and environmentally friendly materials with significant optoelectronic properties. Herein, we introduce Mn2+ ions in the Cs2NaInCl6 lattice to impart new electronic pathways to the otherwise weak optically active double perovskite for tuning its luminescent behaviour. X-ray diffraction, Raman, UVvisible, Photoluminescence (PL), and timeresolved PL (TRPL) spectroscopy are used to investigate the effect of Mn 2+ feed ratio on structural, vibrational, and optical properties. The chemical environment and surface morphology of the Mn2+ ions doped Cs2NaInCl6 double perovskite were investigated using X-ray photoelectron (XPS), energy dispersive X-ray (EDS) spectroscopies, and scanning electron microscopy. Results of the Rietveld refinement and Raman spectra divulge a decrease in In-Cl and Na-Cl bond length upon Mn2+ incorporation. The microstructure of the Cs2NaInCl6 double perovskite system was also studied using HRTEM analysis. UVvisible studies demonstrated a tremendous increase in absorption and a slight increase in band gap upon Mn2+ doping. PL and TRPL measurements of Mn2+: Cs2NaInCl6 discloses its red luminescence at 614 nm corresponding to the d-d atomic transition of Mn2+ with a long lifetime of 2.1 ms. Electron density investigations using maximum entropy method (MEM) demonstrate clear evolution of In-Cl and Na-Cl bonds from a highly ionic nature in pure Cs2NaInCl6 to strong covalent nature in Mn2+: Cs2NaInCl6 double perovskites. This affirms the simultaneous replacement of In, Na ions by Mn2+ to maintain charge neutrality in the compound and tune the electronic states of the Cs2NaInCl6 system. 2023 Elsevier B.V. -
Numerical simulation of unsteady MHD bio-convective flow of viscous nanofluid through a stretching surface
The current flow model is prepared to explore the characteristics of heat and mass transfer through a time-dependent bio-convection slip flow of viscous nanofluid moving over a porous radiative stretched surface model. The outset of bio-thermal convection in a suspension comprising gyrotactic microorganisms and nanoparticles is considered along with radiation and velocity slip. The presence of these nanoparticles and their motion within the nanofluid gives rise to thermophoresis as well as the Brownian motion phenomena and the consideration of these aspects in the model gives realistic results. Moreover, the present model includes the collective influence of the aligned magnetic field, heat source, and mass suction on the boundary. The similarity analysis has been carried out to transform the basic model equations into nonlinear dimensionless ordinary differential equations (ODEs) which are solved numerically using the bvp4c technique in MATLAB. Some reasonable values have been assigned to the flow parameters based on the above different conditions which provide various graphical results. Certain finding states that velocity and temperature respectively decrease and increase as the aligned magnetic field angle is scaled up, whereas the nano particles concentration strengthens with the amplifying values of convection diffusion and thermophoresis parameter and slumps with the rising values of Brownian motion parameter and Schmidt number respectively. Moreover, the concentration of microorganism and nano particles diminishes with the rising values of Schmidt number, as well as the improvement of convection diffusion parameter and Schmidt number magnifies the Sherwood number. The local density of motile microorganisms reduces with the improvement of stretching parameter and bio-convection Schmidt respectively. The obtained results have been validated by comparing them with the published literature. 2023 The Authors -
Extremal reformulated forgotten index of trees, unicyclic and bicyclic graphs
The reformulated forgotten index (RF) is the edge version of the ordinary forgotten index. We describe graph transformations, by means of which RF increases or decreases. Using these transformations, the trees, unicyclic, and bicyclic graphs extremal w.r.t. RF are characterized. 2024, University of Nis. All rights reserved. -
Indian Budget 2022: A Make-or-Break Moment for Cryptocurrency
People are liable to the tax rate if they transfer digital assets during a specific fiscal year. There is no distinction between income from businesses and investments or between short-term and long-term gains because the 30% tax rate is applicable regardless of the sort of income. By clearly stating how it would be charged, the Indian budget 2022 has provided some direction. Losses were consequently experienced by both new and old cryptocurrency buyers. Under Section 115 BBH, it is illegal to offset cryptocurrency losses with cryptocurrency gainsor any other gains or revenue, for that matter. The implementation of the 30% tax rule on digital assets has caused the collapse of the cryptocurrency market, and there is a possibility that investors will continue to suffer losses in the future. 2023 P. Nanjundan et al.,. -
Biowaste-based porous carbon nanoparticle doped polymer dispersed ferroelectric liquid crystal composites: an impact on optical and electrical properties
Bio-waste-based porous carbon nanoparticles (PCNPs) were synthesized using green synthesis and investigated their doping effect on the optical and electrical properties of polymer-dispersed ferroelectric liquid crystals (PDFLCs) composites. Here we employed the polymerization-induced phase separation (PIPS) approach for constructing the PDFLCs. Our results indicate that the dispersion of PCNPs into the PDFLC material results in an alteration to several physical parameters, including morphology, dielectric permittivity, conductivity and optical band gap. A decrease in the ac conductivity of the doped samples was seen. Additionally, UV-Visible study reveals that inclusion of PCNPs resulted in a decrease in the optical band gap of PDFLC, with a value of approximately 3.1 eV. These findings demonstrate the potential of using PCNPs as dopants in PDFLCs for various applications, including sensing, energy storage and optoelectronics. 2024 Taylor & Francis Group, LLC. -
The Lives behind the Luxurious Threads: Beleaguered Sustainability of Kashmirs Pashmina Artisans
Kashmir pashmina, sometimes referred to as "cashmere, in the West, is one of the most valuable cultural artifacts Kashmir has offered for centuries, and continues to be sought after. The fine pure pashmina has maintained its luxury status for centuries and is still a symbol of elegance in the international markets. The pashmina shawl is not just popular for its fiber, but also for the elegant embroidery stitched in myriad colors by skilled artisans. Despite this international acclaim, the pashmina artisans dwell in impoverished conditions and face the ever-growing challenges of power looms. This research article is a study of the social and economic barriers that contribute to the dire living conditions of the active Kashmiri pashmina artisans. Along with examining the deteriorating work condition of the artisans, this paper also looks at how these circumstances have a long-lasting impact on the pashmina shawl industry, thus leading to the degradation of an art form altogether. Finally, this paper studies the declining living conditions of the pashmina artisans by analyzing the data collected through a qualitative study incorporating cultural mapping tools like interviews, personal narratives, and literature review. The sample for the study was collected from Kashmir Haat, Srinagar, Kashmir by the researcher through interviews and discussions. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Spectroscopic Studies on Structurally Modified Anthraquinone Azo Hydrazone Tautomer: Theoretical and Experimental Approach
A series of unique four mono-azo substituted anthraquinone analogue were synthesized by using the anthraquinone components in the diazo-coupling technique. The FT-IR, 1H NMR, and HRMS, data were used to confirm the structure of the molecules, and spectroscopic techniques like UV-Vis, and photoluminescence spectroscopy were employed to estimate the photophysical properties of the molecules. The molecular optimized geometry and frontier molecular orbitals were estimated using density functional theory. Further, global chemical reactivity descriptors parameter was theoretically estimated using the value of the highest occupied molecular orbit and lowest unoccupied molecular orbits. The anti-tubercular action of the synthesised dyes were also examined. The results of this biological activity showed that N-isopropyl aniline combined with anthraquinone N-isopropyl aniline had superior anti-tubercular activity when compared to Rifampicin as the standard. As per molecular docking studies, the synthesized compound Q1 showed excellent binding energy (-10.0kcal/mol) among all compounds against the 3ZXR Protein. These results agreed with our in-vitro anti-TB activity results. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Sexual Relationship Decision Making Based on Entertainment Media: A Qualitative Perspective Among Young Couples
As important as physical, mental, or social health is sexual health. Teenage pregnancy, STDs/STIs, and unsafe abortions are just a few of the population health issues that can arise from the absence of adequate sex education for young people. The purpose of this study is to investigate the process of sexual decision-making as influenced by media intervention among couples. Entertainment education (EE) is an approach that uses storytelling to influence large-scale behaviour change. EE has been used as a potent tool to educate, enlighten, and influence society and individual behaviour change worldwide. Through entertainment education, people have been taught about themes like HIV, family planning, pregnancy and child health, violence against women, and other subjects. Web series or movies that are accessible on the online subscription service, Netflix was taken into consideration for this study. Although there is a great deal of research on adolescent sexuality, studies of sexual decision-making have traditionally been gendered, meaning that men and women have been examined separately. This study is designed for a qualitative investigation using a phenomenological approach. Thematic analysis was employed to analyse semi-structured interviews of couples in a heterosexual romantic relationship. The findings will reveal the influence of entertainment education on young couples choices in their intimate relationships. 2024, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
A Novel Back-Propagation Neural Network for Intelligent Cyber-Physical Systems for Wireless Communications
Wireless sensor networks, which play a significant role in monitoring complex environments that change rapidly over time, were used in the Artificial Intelligence method. External factors or the device designers themselves are both responsible for this complex behavior. Sensor networks often use machine learning techniques to adapt to such conditions, eliminating the need for excessive redesign. Cyber-physical systems (CPS) appeared as the promising option for improving physical-virtual interactions. The quality of the system containing processing information is primarily determined by the system function. There are many benefits obtained while combining Artificial Intelligence (AI) and Cyber-Physical Systems (CPSs) in buildings. In CPS-based indoor environment has various design schemes containing measurement and intelligent buildings in the control system consisting of detection, tracking, execution, and communication modules. The Multi-Agent System (MAS) is the smallest control unit that simulates among neurons and it flexibly provides the information. To mimic the interactions between human neurons, multi-agents are used. In this paper, the CPSs information world is built on the fundamental principle of granular formal concepts and the theory of granular computing is investigated. The calculation module is used by Back-Propagation Neural Network (BPNN) for pattern recognition and classification by environmental information. Various parameters namely the normalized root mean square error, peak signal-to-noise ratio, mean square error, and the mean absolute error are chosen as the objective assessment criteria to assess the benefits of the proposed method and the effectiveness of the proposed system is proven. 2024 IETE. -
The Role of Real Exchange Rate in Indias Service Export: Do Remittances Inflows Matter in Post Liberalization-Era?
This study assesses the effects of real exchange rate and remittance inflows on India's total service exports, comprising traditional and modern service exports, spanning the annual data from 1990 to 2020. The control variables for the service export function include developments in the banking sector and the stock market and net inflows of foreign direct investment. The ARDL model is the estimating technique of the present study. The real exchange rate has an adverse effect on total, traditional, and modern service exports, according to the long-run outcomes of the ARDL model. Remittance inflows are interestingly shown to support modern service exports while impeding total and traditional service exports. The growth of the banking sector is beneficial for traditional and total service exports, but it has a negative impact on modern service exports. All service exports are benefited by stock market development; however, net FDI inflows negatively impact all forms of service exports. Based on these results, thepolicymakers in India are advised to maximize the effective utilization of remittance inflows in traditional service exports. Additionally, proactive intervention by the central bank is recommended to mitigate the adverse effects of the real exchange rate on traditional and modernservice exports. This study also provides valuable insights for thepolicymakers and practitioners seeking to enhance India's service export performance while navigating the complexities of real exchange rates, remittance inflows, and financial factors. 2024, The Author(s), under exclusive licence to Springer Japan KK, part of Springer Nature. -
Feminization of hunger in climate change: linking rural womens health and wellbeing in India
The links between climate change, food security and womens wellbeing remain an under-investigated area. This paper contributes to this area through a thorough examination of how women experience food insecurity in farming households in rural India. The households are located in four agro-climatic regions in India. These regions experience varied climatic pressures, and this diversity allows us to explore a wider variety of womens experiences in their attempts to maintain household food security as the climate changes. The study finds that women, even in comparatively more food-secure households, suffer from food insecurity. One of the reasons for this is that womens food habits and mealtimes have altered in recent years due to the increase in their work pressures. The worst effects are to be found in drought-prone areas, and there are greater vulnerabilities among women-headed households, indicating that the impacts of climate change are exacerbated by cultural norms that further hinder the role of women in farm activities. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Parkinson's Disease Progression Prediction Using Longitudinal Imaging Data and Grey Wolf Optimizer-Based Feature Selection
This work uses longitudinal imaging data and a feature selection method based on the Grey Wolf Optimizer (GWO) to create a novel method for forecasting the course of Parkinson's disease.Magnetic resonance imaging (MRI) and positron emission tomography (PET) longitudinal imaging data offer important insights into the structural and functional changes in the brain over time. However, because of its great dimensionality, analysing this complicated data might be difficult. We suggest using the GWO-based feature selection method to identify the most informative imaging features related to illness development in order to solve this problem.The Grey Wolf Optimizer is an algorithm that draws inspiration from nature and imitates the way that grey wolves hunt. By effectively locating an ideal subset of features that maximise classification or regression performance, it has demonstrated promising results in feature selection challenges. GWO will be used in our investigation to choose the most pertinent imaging features from the longitudinal data, lowering dimensionality and improving the model's ability to predict outcomes.Using machine learning strategies, we will build a predictive model that includes the chosen features and longitudinal imaging data. We hope to equip clinicians with a tool to forecast the course of each patient's Parkinson's disease by utilising this model. By assisting in early diagnosis, treatment planning, and disease progression monitoring, this predictive skill can ultimately improve the overall management of Parkinson's disease and the quality of life for those who are affected. Our method has great promise for expanding the fields of neurodegenerative disease prediction and personalised therapy because it integrates longitudinal imaging data and the Grey Wolf Optimizer-based feature selection method in a novel way. 2024, Ismail Saritas. All rights reserved. -
Deforestation, Climate Change and the Sustainability of Agriculture: A Review
This study aims to survey the literature and factual evidence on the nexus between deforestation and agriculture through an assessment of the potential impacts of climate change in the context of the world, India, and the Western Ghats. The Western Ghats region was chosen for this study because of its deep ecological significance. A few underlying themes were created and findings were documented under each theme that ranged from the causes of deforestation, the transformation of forest land for agriculture, the nexus between agriculture, deforestation and climate change, climate-driven agricultural vulnerability and the reconciliation of forest protection with agriculture. These findings suggest that shifting agriculture has been a dominant source of deforestation. The primary climatic impacts on agriculture are seen through crop yield falls. Indias arid and semiarid tropical regions have witnessed high climate-driven agricultural sensitivity. This could be on account of the fact that Indias tropical forests have witnessed high deforestation. The presence of higher tree densities in areas under Joint Forest Planning and Management in the Western Ghats create the potential for sparing remaining land areas for non-forest uses such as agriculture. 2024, Editorial office of Journal of Resources and Ecology. All rights reserved. -
Financial Development Convergence: Evidence from Top and Bottom Globalised Developing Economies
This paper investigates the pattern of the financial development convergence for the top (Europe and Central Asia) and the bottom (South Asia) globalized developing regions from 1984 to 2016. We employ the Philips-Sul club convergence approach to measure the financial development convergences speed. The results validate the convergence of financial development in all countries, including the top and bottom of globalized developing regions. Interestingly, the speed of financial development convergence is less in the bottom globalized developing region than in the top globalized developing region. However, these results vary across developing regions in the case of financial institutions and financial markets. Therefore, solid financial market governance can provide a productive and efficient financial system, particularly in the bottom globalized economies. 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. -
Porous 3D Printed System for Synergistic Tandem Water Cleaning-Energy Generation
Non-availability of fresh water is the dire consequence of rapid industrialization and the unregulated discharge of industrial effluents. In an attempt to recover water from highly contaminated industrial wastewater, researchers have relied on developing various materials that can treat polluted water efficiently and sustainably. 3D printed materials have proved to be an emerging technology in water treatment. 2Dmaterials have recently enhanced filter technology due to their morphological properties. This study focuses on removing salinity and organic dyes utilizing 2DGadolinium telluride (Gd2Te3) coated 3D printed (2D@3DP) complex architecture. The 2D@3DP structure can potentially increase the contact time of adsorbed saline water due to its complex architecture and can remove ?52% salinity from brackish water. Furthermore, methylene blue (MB) and Methyl Orange (MO) removal efficiencies are ?69% and 45%, respectively. Spectroscopic and microscopic results confirm the adsorption of negatively charged chlorine ions on a positively charged 2D surface. The removal of bleaching powder is also tested for real-life applications, and ?20% of the bleaching powder is adsorbed. Moreover, the 2D@3DP device exhibits an electrical signal due to impinging sodium chloride droplets from different heights, making it a sustainable solution to address water pollution. 2023 Wiley-VCH GmbH. -
Polyamines influence the production of Boeravinone-B from cell suspension cultures of Boerhavia diffusa L.
Boerhavia diffusa L. (Punarnava) is an ayurvedic herb with a wide range of phytochemicals and pharmacological activities that have been utilised since antiquity. Boeravinone-B (an isoflavone rotenoid molecule) is one of the most significant secondary metabolites produced in its plant body. Modern plant biotechnological tools have helped in the overproduction of desired plant secondary metabolites from in vitro cell and organ cultures. Elicitation is one such strategy employed for the production of phytochemicals. In the present study, polyamines like putrescine, spermine and spermidine have been used as elicitors for the production of Boeravinone-B. The cell suspension cultures of punarnava have been treated with polyamines at various concentrations, ranging from 0.5 to 20M, at various day intervals of 2, 4 and 6 before the harvesting. The fresh weights, dry weights of cell suspension cultures, their Boeravinone-B content and yield are evaluated. Among all the various polyamine treatments, 2.5M spermidine (SPD) on the 6th day before harvesting shows the highest Boeravinone-B content of 10.88 0.13mgg?1 DW and yield of 110.34mg L?1 respectively, which is a five-fold increment compared to the control cultures (2.16 0.06mgg?1 DW and 16.35mg L?1) respectively. The highest total phenolic content in the cell suspension cultures is observed with 1?M SPD on the 2nd day prior to harvesting (194.25 0.37mgg?1 DW), while the highest levels of flavonoids are observed with 2.5?M SPD on the 6th day before harvesting (86.85 0.26mgg?1 DW). 2023, The Author(s), under exclusive licence to Springer Nature B.V. -
Planetary Ball Milling and Tailoring of the Optoelectronic Properties of Monophase SnSe Nanoparticles
Downscaling of tin monoselenide (SnSe) samples to the nanometer regime (~8020nm) without affecting the structure, homogeneity, and optoelectronic properties was carried out by high-energy planetary ball milling (BM). The milling rate was varied from 200rpm to 800rpm by adopting a dry and wet-grinding top-down approach on customized stoichiometric SnSe precursors. The degree of crystallinity was assessed by powder x-ray diffraction (PXRD) and selected area electron diffraction. The lattice parameters, a = 4.435 b = 11.498 and c = 4.148 of the nanoparticles were calculated from the PXRD data. Energy-dispersive x-ray analysis confirmed the chemical homogeneity (49.88:51.12 at.%) of the samples. The effects of rotational velocity as well as mode of grinding on the morphology and the size of SnSe powders were investigated using electron microscopes. The direct optical transition with band gap varied from 1.75eV to 2.28eV was elucidated from UV-Vis-NIR data. Photoluminescence revealed an increase in the intensity of the emission peak at 462.97nm with angular velocities for both types of grinding. The variation of electrical resistivity (36107 ? cm) and mobility (3.451.12 cm2/Vs) with rotational speed was calculated for all the samples. The results obtained for the ball-milled nanoparticles pave the way towards the reduction of particle size, formation of stable morphology, and appreciable crystalline structure quality suitable for solar cell absorbers. Graphical Abstract: [Figure not available: see fulltext.] 2023, The Minerals, Metals & Materials Society.