Browse Items (9798 total)
Sort by:
-
Cu/Pd bimetallic supported on mesoporous TiO2 for suzuki coupling reaction /
Bulletin of Chemical Reaction Engineering & Catalysis, Vol.13, Issue 2, pp. 1-11, ISSN No. 1978-2993. -
Data Modeling and Analysis for the Internet of Medical Things
Smart biomedical technology greatly assists in rapid disease screening and diagnosis within hospitals. One innovative device, a smart inhaler, incorporates sensors to track medication doses, usage patterns, and effectiveness. These inhalers provide valuable support to asthma sufferers, allowing for improved condition management and better patient outcomes. Asthma, a chronic respiratory disease affecting millions worldwide, causes airway constriction and swelling, resulting in breathing difficulties. Typically, medication such as inhaled corticosteroids and bronchodilators is used for management. However, medication adherence is often inadequate, leading to worsened outcomes and exacerbations. Smart inhalers aim to address this challenge by enabling users to monitor medication usage and compliance. Equipped with sensors, the inhalers track when, how much, and how frequently the prescribed medication is taken. The collected data is then transmitted to a mobile app or web portal, accessible to patients and healthcare providers. This integration facilitates medication tracking and provides personalized coaching for improved asthma control. The gathered data serves multiple purposes, including helping patients monitor their medication use and adherence. Patients can receive feedback on their treatment plan adherence and utilize the app to set medication reminders, promoting adherence and enhancing outcomes. 2024 CRC Press. -
Rainbow degree-jump coloring of graphs
In this paper, we introduce a new notion called the rainbow degree-jump coloring of a graph. For a vertex v ? V(G), let the degree-jump closed neighbourhood of this vertex be defined as Ndeg [v] = {u: d(v, u) ? d(v)}. A proper coloring of a graph G is said to be a rainbow degree-jump coloring of G if for all v in V(G), c(Ndeg [v]) contains at least one of each color class. We determine a necessary and sufficient condition for a graph G to permit a rainbow degree-jump coloring. We also determine the rainbow degree-jump chromatic number, denoted by ?rdj (G), for certain classes of cycle related graphs. Mphako-Banda E.G., Kok J., Naduvath S., 2021. -
Biodegradation studies of polyhydroxyalkanoates extracted from bacillus subtilis NCDC 0671 /
Research Journal of Chemistry And Environment, Vol.23, Issue 6, pp.107-114 -
Valorization of pineapple peels through single cell protein production using saccharomyces cerevisiae NCDC364 /
Applied Food Biotechnology, Vol.6, Issue 4, pp.255-263, ISSN No: 2345-5357. -
Surface tuning of nanostructured graphitic carbon nitrides for enhanced electrocatalytic applications: a review
The precursors for developing sustainable and environment-friendly energy conversion and storage devices requires the utilization of advanced, highly efficient, and economical nano-structured electrocatalysts instead of conventional and expensive noble metals. Therefore, graphitic carbon nitride (g-C3N4) as a material has gained wide attention due to its relative ease of synthesis, high nitrogen content, conductivity, and tuneable band gap energy. In recent years, their tunable electronic properties along with physicochemical stability have given rise to numerous research delving into their diverse range of applications. With the advancement in the tuning of their electrochemical performance, the electrical conductivity of g-C3N4 can be enhanced by structurally modifying the g-C3N4 framework accordingly. This review focuses on various structural modifications of g-C3N4 by functionalization, elemental doping, and hybridizing techniques for ameliorating the number of active sites resulting in enhanced electrocatalytic performance. Herein, the prospective researchers are given a concise perspective regarding the surface tuning of g-C3N4 for improving their electrocatalytic applications. 2023 Elsevier Ltd -
On /delta^(k)-colouring of Powers of Paths and Cycles
In animpropervertexcolouringofagraph,adjacentverticesarepermittedto receivesamecolours.Anedgeofanimproperlycolouredgraphissaidtobeabad edge ifitsendverticeshavethesamecolour.Anear-propercolouringofagraphis a colouringwhichminimisesthenumberofbadedgesbyrestrictingthenumberof colour classes that can have adjacency among their own elements. The ?(k)- colouring is anear-propercolouringof G consisting of k givencolours,where1 ? k ? ?(G) ? 1, whichminimisesthenumberofbadedgesbypermittingatmostonecolourclassto have adjacency among the vertices in it. In this paper,we discuss the number of bad edges ofpowers of paths and cycles. Published by Digital Commons@Georgia Southern, 2021. 2021 Georgia Southern University. All rights reserved. -
A study on employees' engagement level in travel organisations with reference to Karnataka /
Indian Journal of Commerce and Management Studies, Vol.5, Issue 3, pp.134-141, ISSN No: 2249-0310. -
Queering Doctor Who and Supernatural: An ecofeminist response to Bill Potts and Charlie Bradbury
Both Bill Potts from Doctor Who and Charlie Bradbury from Supernatural are iconic lesbian characters who have irreversibly changed the landscape of the long-running shows in which they are featured: the first queer character to appear on Doctor Who as a companion since Captain Jack Harkness, Bill Potts, is the shows first lesbian character to feature in a starring role. Her story arc is bookended by her relationship with Heather, who is first encountered in Bills first episode on the series and who returns to save Bills life at the end of her time as the Doctors companion. Heathers association with what appears to be water or oil-but is eventually revealed to be an alien life force resembling a liquid-is a significant factor in her transition from human to trans-human, and the elemental force that she becomes may be related to the transcendentalist roots of ecocritical discourse. Similarly, Charlie Bradburys role as the Queen of Moondor, a Live Action Role Playing arena, and her subsequent encounter with the faerie Gilda may be viewed in the context of the correlation of geek culture and the return to the natural, pre-industrial/pre-technological world of the episode LARP and the Real Girl (2013). These analyses are examined through an ecofeminist lens that consists primarily of approaches to ecofeminism in the twenty-first century. As Greta Gaard observes in her 2011 essay Ecofeminism Revisited: Rejecting Essentialism and Re-Placing Species in a Material Feminist Environmentalism, " ecofeminism in the late twentieth century declined because of charges of gender essentialism. However, given the emergence of areas such as animal studies, vegan studies, and speciesism, ecocriticism has again risen to prominence in the field of gender studies, and perhaps one way of avoiding the charge of essentialism is to place ecofeminist criticism within the larger framework of questions relating to a pluralistic and queer sense of gender and sexual identities. In this, both Bill and Charlie lend themselves to interpretations based on emerging discourses in ecocritical queer studies. 2021 selection and editorial matter, Douglas A. Vakoch. -
Spectral characteristics of the black hole binary 4U 1957+115: a multi mission perspective
We report spectral analysis of the persistent black hole X-ray binary, 4U 1957+115, using AstroSat, Swift, and NuSTAR observations carried out between 2016 and 2019. Modelling with a disc emission, thermal Comptonization, and blurred reflection components revealed that the source was in the high-soft state with the disc flux ?87 per cent of the total and high-energy photon index ?2.6. There is an evidence that either the inner disc radius varied by ?25 per cent or the colour hardening factor changed by ?12 per cent. The values of the inner disc radius imply that for a non-spinning black hole, the black hole mass is < 7 M ? and the source is located > 30 kpc away. On the other hand, a rapidly spinning black hole would be consistent with the more plausible black hole mass of < 10 M ? and a source distance of ?10 kpc. Fixing the distance to 10 kpc and using a relativistic accretion disc model, constrained the black hole mass to 6 M? and inclination angle to 72. A positive correlation is detected between the accretion rate and inner radii or equivalently between the accretion rate and colour factor. 2022 The Author(s). -
Unveiling the Temporal Properties of MAXI J1820+070 through AstroSat Observations
We present here the results of the first broadband simultaneous spectral and temporal studies of the newly detected black hole binary MAXI J1820+070 as seen by Soft X-ray Telescope and Large Area X-ray Proportional Counter (LAXPC) on board AstroSat. The observed combined spectra in the energy range 0.7-80 keV were well modeled using disk blackbody emission, thermal Comptonization, and a reflection component. The spectral analysis revealed that the source was in its hard spectral state (? = 1.61) with a cool disk (kT in = 0.22 keV). We report the energy dependent time-lag and root mean squared (rms) variability at different frequencies in the energy range 3-80 keV using LAXPC data. We also modeled the flux variability using a single-zone stochastic propagation model to quantify the observed energy dependence of time lag and fractional rms variability, and then compared the results with that of Cygnus X-1. Additionally, we confirm the detection of a quasi-periodic oscillation with the centroid frequency at 47.7 mHz. 2020. The American Astronomical Society. All rights reserved.. -
Estimation of the black hole spin in LMC X-1 using AstroSat
LMC X-1, a persistent, rapidly rotating, extra-galactic, black hole X-ray binary (BHXB) discovered in 1969, has always been observed in its high soft state. Unlike many other BHXBs, the black hole mass, source distance, and binary orbital inclination are well established. In this work, we report the results of simultaneous broad-band spectral studies of LMC X-1 carried out using the data from Soft X-ray Telescope and Large Area X-ray Proportional Counter aboard AstroSat as observed on 2016 November 26 and 2017 August 28. The combined spectrum was modelled with a multicolour blackbody emission (diskbb), a Gaussian along with a Comptonization component (simpl) in the energy range 0.7-30.0 keV. The spectral analysis revealed that the source was in its high soft state (? = 2.67+0.24-0.24 and ? = 2.12+0.19-0.20) with a hot disc (kTin = 0.86+0.01-0.01 and kTin = 0.87+0.02-0.02). Thermal disc emission was fitted with a relativistic model (kerrbb) and spin of the black hole was estimated to be 0.93+0.01-0.01 and 0.93+0.04-0.03 (statistical errors) for the two Epochs through X-ray continuum-fitting, which agrees with the previous results. 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. -
Growth of Indian cement industry, its environment impact and emerging alternatives
The present study provides a detailed review on growth of Indian cement industry, its environmental implications of cement production and its significant influence on the future trajectory of the Indian concrete industry. The Indian cement sector, a vital contributor to the nation's economy, faces a dual challenge of meeting the growing demand for construction materials while mitigating its environmental footprint. The study delves into the industry's current status as the world's second-largest cement producer and its impact on various sectors, including employment, GDP contribution, and dependence on real estate and infrastructure. The paper identifies key obstacles hindering the Indian concrete industry's full potential, such as a slowdown in real estate development, low industrial investment, regulatory changes, and constraints on resource extraction. Despite the industry's promising growth, the looming threats from emerging technologies and increasing environmental concerns, particularly related to greenhouse gas emissions, necessitate a strategic shift towards sustainability. A central focus of the research is the urgent need for the Indian concrete industry to address its environmental impact, specifically the 7% contribution to global greenhouse gas emissions. The study explores the industry's role in creating carbon-neutral concrete by 2050 and emphasizes the importance of collaboration with policymakers, financial institutions like the International Finance Corporation (IFC), and end users in achieving this ambitious goal. The study reveals the comprehensive resource for industry stakeholders, and researchers interested in understanding the environmental implications of cement production and charting a sustainable course for the future of the Indian concrete industry and emerging alternatives. 2024, National Institute of Science Communication and Policy Research. All rights reserved. -
Digital educational neuropsychology: Challenges and opportunities
This chapter introduces the various facets of digital educational neuropsychology. It begins by explaining digital educational neuropsychology and the current practices in digital neuropsychology. It then explains the opportunities and the challenges faced by neuropsychology in digitization of neuropsychology education, training, assessment, and rehabilitation and how it can be improved. The challenges in the implementation of digital educational neuropsychology in terms of access and equity; validity and reliability of digital assessments; training and professional development; variability in the perceptual, motor, and cognitive demands across different devices; and the rapid changes in technology are explained elaborately. A full discussion on opportunities including enhancement of digital education using neuropsychological techniques, neuroscience experimental techniques, in tandem with behavioural measures is provided. Further, the importance of collaborative effort from professionals is required to build more effective strategies for digital education is emphasized. 2024, IGI Global. All rights reserved. -
SIDNet: A SQL Injection Detection Network for Enhancing Cybersecurity
SQL (Structured Query Language) injection is one of the most prevalent and dangerous forms of cyber-attacks, posing significant threats to database management systems and the overall security of web applications. By exploiting vulnerabilities in web applications, attackers can execute malicious SQL statements, potentially compromising the integrity and confidentiality of critical data. To combat these threats, in this study, we introduce two novel CNN models, SIDNet-1 (SQL Injection-attack Detection Network-1) and SIDNet-2 (SQL Injection-attack Detection Network-2), specifically designed for the classification of SQL injection attacks to bolster web application security. Our comprehensive evaluation includes a comparison of the performance of these customized CNN models against traditional machine learning approaches, highlighting improvements in classification accuracy and reductions in false alarm rates. The proposed models have been experimented with two publicly available dataset SQLI (SQL-Injection) and SQLV2 (SQL-Injection version2). Specifically, SIDNet-1 achieves an impressive accuracy of 98.02% on the SQLI dataset, while SIDNet-2 closely follows with 97.54%. Furthermore, on the SQLIV2 dataset, SIDNet-1 attains 97.77%, and SIDNet-2 achieves 97.83% accuracy respectively. 2013 IEEE. -
A study of investment behaviour based on demographics /
Journal of Commerce and Accounting Research, Vol.3, Issue 4, pp.23-32, ISSN No: 2277-2146. -
Significance of Darcy-Forchheimer Porous Medium in Nanofluid Through Carbon Nanotubes
This article manages Darcy-Forchheimer 3D flow of water based carbon nanomaterial (CNTs). A bidirectional nonlinear stretchable surface has been utilized to make the flow. Disturbance in permeable space has been represented by Darcy Forchheimer (DF) expression. Heat transfer mechanism is explored through convective heating. Outcomes for SWCNT and MWCNT have been displayed and compared. The reduction of partial differential framework into nonlinear common differential framework is made through reasonable variables. Optimal series scheme is utilized for arrangements advancement of associated flow issue. Optimal homotopic solution expressions for velocities and temperature are studied through graphs by considering various estimations of physical variables. Moreover surface drag coefficients and heat transfer rate are analyzed through plots. 2018 Chinese Physical Society and IOP Publishing Ltd. -
Energy-based features for Kannada handwritten digit recognition
In this paper, Kannada handwritten digit recognition system is proposed based on energy features. Ground truth datasets are not available to test the performance of proposed features. Hence, own dataset of Kannada handwritten digits are collected from schools, colleges, business persons and professionals. The digital images are pre-processed using morphological opening operation for removing the noise and bilinear operation is used for normalisation. The normalised image is divided into 16 blocks, and then wavelet filters were applied for each of the 16 blocks and computed the standard deviation for each of them. In this process, a total of 64 standard deviation of the wavelet coefficients are generated of which 48 coefficients are selected as potential features. The average recognition accuracy of 94.80% is achieved using nearest neighbour classifier. The proposed algorithm is free from skew and thinning and it is novelty of the paper. Copyright 2020 Inderscience Enterprises Ltd. -
Resume Ranking and Shortlisting with DistilBERT and XLM
The research presented in this paper offers a solution to the time-consuming task of manual recruitment process in the field of human resources (HR). Screening resumes is a challenging and crucial responsibility for HR personnel. A single job opening can attract hundreds of applications. HR employees invest additional time in the candidate selection process to identify the most suitable candidate for the position. Shortlisting the best candidates and selecting the appropriate individual for the job can be difficult and time-consuming. The proposed study aims to streamline the process by identifying candidates who closely match the job requirements based on the skills listed in their resumes. Since it is an automated process, the candidate's individual preferences and soft skills remain unaffected by the hiring process. We leverage advanced Natural Language Processing (NLP) models to improve the recruitment process. Specifically, our emphasis lies in the utilization of the distilBERT model and the XLM (Crosslingual Language Model). This paper explores the application of these two models in taking hundreds of resumes for the job as input and providing the ranked resumes fit for the job as output. To refine our approach further, two types of metrics for resume ranking, such as Cosine similarity score and Spatial Euclidean distance, are used, and the results are compared. Intriguingly, distilBERT and XLM result in different sets of top ten ranked resumes, highlighting the nuanced variations in their ranking approaches. 2024 IEEE.