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Simultaneous first order derivative spectrophotometric determination of Vanadium and Zirchonium in alloy steels and minerals
Spectrochimica Acta Part A : Molecular and Bio molecular Spectroscopy, Vol.95,pp.46-52, ISSN No. 1386-1425 -
A comparison of algorithms for controller replacement in software defined networking
Software Defined Network (SDN) partitions the control plane and the information plane to decrease the cost and for increasing the capacity for upgrading, and this will be helpful for the network administrators to manage the network services. It's the location where the controller exists. One of the main issue in Software Defined Networking is the location of the controllers as this could affect network execution and cost. In this paper, we have done an analysis on some algorithms that have been used for minimizing the number of controllers to reduce the latency, delay, etc. while placing a controller with the consideration of communication among the controller and the nodes. 2018 Authors. -
Spanning graph topology of graphs
The collection of subgraphs of a graph G containing G and the null graph K0, which is closed under union and intersection, is said to be a graph topology defined on G. In this paper, we investigate the idea of spanning graph topology of a graph G, where we consider the collection of spanning subgraphs of G satisfying the axioms analogous to the axioms of graph topology. We begin with the basic concepts of spanning graph topological space and later and introduce two spanning subgraph complements to define closed graphs in spanning graph topological spaces. 2023 World Scientific Publishing Company. -
Subspace graph topological space of graphs
A graph topology defined on a graph G is a collection T of subgraphs of G which satisfies the properties such as K0, G ? T and T is closed under arbitrary union and finite intersection. Let (X, T ) be a topological space and Y ? X then, TY = {U ? Y: U ? T } is a topological space called a subspace topology or relative topology defined by T on Y. In this P1 we discusses the subspace or the relative graph topology defined by the graph topology T on a subgraph H of G. We also study the properties of subspace graph topologies, open graphs, d-closed graphs and nbd-closed graphs of subspace graph topologies. 2023, Proyecciones. All Rights Reserved. -
Subspace spanning graph topological spaces of graphs
A collection of spanning subgraphs TS, of a graph G is said to be a spanning graph topology if it satisfies the three axioms: (Formula Presented) where, n = |V (G)|, the collection is closed under any union and finite intersection. Let (X, T ) be a topological space in point set topology and Y ? X then, TY = {U ? Y: U ? T } is a topological space called a subspace topology or relative topology defined by T on Y. In this paper we discusses the subspace spanning graph topology defined by the graph topology TS on a spanning subgraph H of G. 2023, Proyecciones. All Rights Reserved. -
A study on graph topology
The concept of topology defined on a set can be extended to the field of graph theory by defining the notion of graph topologies on graphs where we consider a collection of subgraphs of a graph G in such a way that this collection satisfies the three conditions stated similarly to that of the three axioms of point-set topology. This paper discusses an introduction and basic concepts to the graph topology. A subgraph of G is said to be open if it is in the graph topology TG. The paper also introduces the concept of the closed graph and the closure of graph topology in graph topological space using the ideas of decomposition-complement and neighborhood-complement. 2023 Azarbaijan Shahid Madani University. -
Induced signed graphs of some classes of graphs
A signed graph is a graph with positive or negative signs assigned to edges. An induced signed graph is a signed graph constructed from a given graph according to some pre-defined protocols. An induced signed graph of a graph G is a signed graph in which each edge uv re ceives a sign where : V(G) Z. In this paper, we discuss two types of induced signed graphs and determine the structural properties of these signed graphs such as balancing, clustering, regular-ity and co-regularity. 2020 Jangjeon Research Institute for Mathematical Sciences and Physics. All rights reserved. -
SETTING NARRATIVE THROUGH INSTAGRAM POSTS: A STUDY OF BBC'S REPORTAGE ON AFGHANISTAN
Media organizations have an immense role to play in disseminating informa-tion and shaping perspectives across borders. Though the information revolution pro-vides us with many new opportunities, it also helps in establishing a single narrative through the cultural cultivation of popular media over time. Orientalism, in this manner, presents an image that the West created of the Near East centuries ago and these second-hand experiences are enhanced over the years by the powerful states and media organi-zations to maintain the established hegemony. This current study focuses on understanding the British Broadcasting Corporation's narrative and its ability to include and exclude certain historical facts while reporting on the Taliban's takeover of Afghanistan through Instagram posts. The study found BBC portraying a favorable image for the role played by the NATO allies in Afghanistan and described the Taliban as a sheer group of terror, barbaric, and inhumane organization, following extreme Sharia laws. 2022 Pluto Journals. All rights reserved. -
An efficient hybrid digital architecture for space vector PWM method for multilevel VSI
This paper presents an efficient, cost effective design implementation of a hybrid digital architecture for space vector pulse width modulation (SVPWM) method for multilevel inverters (MLIs). The SVPWM method is one of the most popular real time PWM method for three phase voltage source inverter (VSI). The implementation of SVPWM method becomes complex with an increase in the number of levels in a multilevel inverter. The SVPWM method for multilevel inverter is a multitask system. The main constraint when it comes to implementing SVPWM for multilevel inverters is the processing of dwell time computation and the generation of PWM gate signals for all of the switches with an accurate delay. A hybrid hardware structure consisting of a simple low-cost, low-power dsPIC micro controller (dsPIC 30F4011) and a state of the art Field Programmable Gate Array (FPGA) (Cyclone V 5CGXFC5C6F27C7N) is used to implement SVPWM. The proposed hybrid digital architecture utilizes the advantages and resources of the dsPIC and FPGA. The hybrid digital architecture meets the timing constraints of multitasking through synchronization and parallelism. A communication interface between the dsPIC and the FPGA reduces the design complexity. The software overhead for the communication interface remains fixed for any number of levels. The hybrid structure of the digital architecture provides scalability for the SVPWM method with more number of levels in multilevel inverter. The operation of the proposed hybrid digital architecture is experimentally validated with an optimized SVPWM method for a five level VSI. An optimized region identification algorithm and simple dwell time expressions are described for a five level SVPWM. The input DC of the five level VSI is obtained from a differential power processing (DPP) based PV system. Experimental results under different operating conditions are presented. 2020, The Korean Institute of Power Electronics. -
Unveiling the Dual Potential of the MoS2@VS2 Nanocomposite as an Efficient Electrocatalyst for Hydrogen and Oxygen Evolution Reactions
Clean and reliable energy sources are essential amidst growing environmental concerns and impending energy shortages. Creating efficient and affordable catalysts for water splitting is a challenging yet viable option for renewable energy storage. Traditional platinum-based catalysts, while highly active, are quite expensive. Our study introduces two-dimensional (2D) MoS2@VS2 nanocomposites, developed using hydrothermal technique, as a bifunctional catalyst for the electrolysis of water into valuable products. Structural studies revealed the formation of MoS2@VS2 nanocomposites with a nanoflake-like structure, where MoS2 nanosheets grow on the VS2 surface. This 2D-based electrocatalyst demonstrated exceptional reaction kinetics, with low overpotentials of 265 mV for the hydrogen evolution reaction (HER) and 300 mV for the oxygen evolution reaction (OER) at 10 mA/cm2. Furthermore, the electrocatalyst displayed small Tafel slopes of 65 mV/dec and 103 mV/dec for HER and OER, respectively, along with excellent stability. The unprecedented catalytic activity stems from the synergistic effect between semiconducting MoS2 and metallic VS2. Density functional theory calculations confirmed that this synergy enhances the electrical conductivity, facilitating efficient electron transfer during the reaction and providing an abundance of exposed active sites. These results mold MoS2@VS2 nanocomposites as promising electrocatalysts for overall water splitting, paving the way for sustainable energy future. 2024 American Chemical Society. -
Template-based classification of SDSS-GALEX point sources
We have classified a sample of 37,492 objects from SDSS into QSOs, galaxies and stars using photometric data over five wave bands (u, g, r, i and z) and UV GALEX data over two wave bands (near-UV and far-UV) based on a template fitting method. The advantage of this method of classification is that it does not require any spectroscopic data and hence the objects for which spectroscopic data is not available can also be studied using this technique. In this study, we have found that our method is consistent by spectroscopic methods given that their UV information is available. Our study shows that the UV colours are especially important for separating quasars and stars, as well as spiral and starburst galaxies. Thus it is evident that the UV bands play a crucial role in the classification and characterization of astronomical objects that emit over a wide range of wavelengths, but especially for those that are bright at UV. We have achieved the efficiency of 89% for the QSOs, 63% for the galaxies and 84% for the stars. This classification is also found to be in agreement with the emission line diagnostic diagrams. 2018, Indian Academy of Sciences. -
Digital Marketing Strategies: Effectiveness on Generation Z
The paper examines the constructs of digital marketing strategies on two aspects. Exploring the numerous digital marketing strategies related to Generation Z through a comprehensive desk review and archival research and confirming the explored factors to create a valid and measurable instrument.It is important to quantify and develop a scale to measure the effectiveness of digital marketing strategies on Generation Z. The first section of the study is exploratory factor analysis (EFA), establishing the effectiveness of digital marketing strategies on Generation Z. The second section deals with Confirmatory Factor Analysis (CFA), confirming the factors coined through exploratory factor analysis. The dimensions identified in the research can help marketers create exclusive digital marketing strategies to target Generation Z. 2020 SCMS Group of Educational Institutions. All rights reserved. -
Unlocking the Antimicrobial, Antifungal, and Anticancer Power of Chitosan-Stabilized Silver Nanoparticles
Silver nanoparticles (AgNPs) have become a research focus due to its antimicrobial, anticancer applications and cost-effective properties. In this study the effectiveness of green synthesis of NPs using biological macromolecule chitosan which isacting as a reducingcum stabilizing agent is carried out. An in-depth analysis of the synthesized AgNPs was conducted using a variety of sophisticatedcharacterization techniques such as UV-visible spectroscopy, particle size analysis, zeta potentialmeasurements, transmission electron microscopy (TEM), photoluminescence, and Fourier transform infrared (FTIR) spectroscopy. The antimicrobialactivity of the formulated AgNPs were inspected against two human pathogenic strains. In the antimicrobial activity, the synthesized AgNPs exhibited a reduction in the growth of both themicrobes. The minimum inhibitory concentration (MIC) of 1.22 M was observed for both Candida albicans and Mycobacterium smegmatis. Consequently, AgNPs may be used as an opportunity for modern-day antibiotics to treat infections due to human pathogens. Antiproliferative analysis revealed that AgNPs showed antiproliferative characteristics against MDA-MB-231 cells compared to the control. Such AgNPs have an anticancer effect and are likely to be used as smart drug delivery mediators to treat late-stage cancer. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Ion-imprinted chitosan-stabilized biogenic silver nanoparticles for the electrochemical detection of arsenic (iii) in water samples
Arsenic is one of the most harmful heavy metals, and needs constant monitoring and control. A susceptible and selective sensor for arsenic (iii) detection in polluted water samples has been developed by using chitosan-stabilized silver nanoparticles (AgNPs). A glassy carbon electrode (GCE) is modified with chitosan-stabilized silver nanoparticles, which provides sufficient sites for interaction with the analyte. The synthesized silver nanoparticles are characterized using different characterization techniques, such as UV-Visible spectroscopy, transmission electron spectroscopy (TEM) and particle size distribution. The particle size and polydispersity index (PDI) value of the chitosan stabilized silver nanoparticles are found to be 6 nm and 0.3, respectively, which enhances the electroactive surface area and hence the sensor sensitivity. The ion imprinting technique is used to improve the selectivity of the sensor. The arsenic sensor is found to be very selective in the presence of other possible interferents like Pb2+, Zn2+, Cu2+, Ag+ and Fe2+. The detection of As(iii) was performed using differential pulse anodic stripping voltammetry (DPASV) and the detection limit was found to be 11.39 pM. The developed sensor is successfully tested for the picomolar level detection of arsenic (iii) in different water samples. 2023 The Royal Society of Chemistry. -
Advanced Electrochemical Detection of 2,4-dichlorophenol in Water with Molecularly Imprinted Chitosan Stabilized Gold Nanoparticles
2,4-Dichlorophenol (2,4-DCP) is a hazardous chemical that can be passed down to offspring. Because 2,4-DCP degrades slowly and can be passed down to future generations, its a pesticide that needs to be continuously monitored and managed. With the use of chitosan-stabilized AuNPs on a glassy carbon electrode and the molecular imprinting technique, an effective electrochemical sensor has been built for the selective determination of 2,4-DCP in different aqueous samples. The analytes electroactive surface area and number of interaction sites are both increased by the AuNPs. The formulated AuNPs were characterized using several material characterization techniques. Molecularly imprinted nanomaterials provided the selectivity against other interfering chlorophenols. With a detection limit of 6.33 nM and a broad linear dynamic range of 21.09 to 310 nM, 2,4-DCP was found using differential pulse voltammetry. Without interference from structural analogs, the sensor was effectively evaluated in a variety of contaminated water samples. 2024 The Electrochemical Society (ECS). Published on behalf of ECS by IOP Publishing Limited. All rights, including for text and data mining, AI training, and similar technologies, are reserved. -
Effectiveness of blended classroom among varied streams of undergraduate language learners An Experimental Study
Technology has become an integral part of learners today and keeping with the time, researchers have developed learning methods that address this issue. There have been several methods developed to address this issue. One of the most successful techniques that has in the recent past contributed largely to active learning is flipped classroom. Communication skills is the need of the hour, to ensure an employable community this study endeavours to develop a learning technique that will nurture active learners and improve their communication skill in a technology oriented community. Hence the paper aims at finding and deliberating the efficacy of implementing flipped classroom to improve communication skills among undergraduate learners from science and humanities majors. BEIESP. -
Comprehensive strategies of Lignocellulolytic enzyme production from microbes and their applications in various commercial-scale faculties
Activities of anthropological organisms leads to the production of massive lignocellulosic waste every year and these lignocellulolytic enzymes plays crucial role in developing eco-friendly, sustainable and economical methods for decomposing and pre-treating the biomass to produce biofuels, organic acids, feeds and enzymes. Lignocellulolytic enzymes sustainably hydrolyse the biomass and can be utilized in wide range of applications such as personal care, pharmaceutical, biofuel release, sewage treatment, food and beverage industries. Every year a significant ton of biomass waste is released and insight on these crucial enzymes could establish in all the industries. However, due to the increased demand for compost materials, biomass degradation has resulted in composting processes. Several methods for improving compost amount and quality have been explored, including increasing decomposer inoculums, stimulating microbial activity, and establishing a decomposable environment. All of these prerequisites are met by biotechnological applications. Biotechnological procedures are used to improve the activity of enzymes on biomass. It leads to an adequate supply of compost and base materials for enterprises. In terms of effectiveness and stability during the breakdown process, lignocellulolytic enzymes derived from genetically modified species outperformed naturally derived lignocellulolytic enzymes. It has the potential to increase the quality and output of byproducts. This review discussed the development of lignocellulolytic enzyme families and their widespread applications in a variety of industries such as olive oil extraction, carotenoid extraction, waste management, pollution control, second-generation bio-ethanol production, textile and dyeing, pharmaceuticals, pulp and paper, animal feed, food processing industries, detergent, and agricultural industries. 2022 Visagaa Publishing House. -
SPP1, a potential therapeutic target and biomarker for lung cancer: functional insights through computational studies
NIH reported 128 different types of cancer of which lung cancer is the leading cause of mortality. Globally, it is estimated that on average one in every seventeen hospitalized patients was deceased. There are plenty of studies that have been reported on lung cancer draggability and therapeutics, but yet a protein that plays a central specific to cure the disease remains unclear. So, this study is designed to identify the possible therapeutic targets and biomarkers that can be used for the potential treatment of lung cancers. In order to identify differentially expressed genes, 39 microarray datasets of lung cancer patients were obtained from various demographic regions of the GEO database available at NCBI. After annotating statistically, 6229 up-regulated genes and 10324 down-regulated genes were found. Out of 17 up-regulated genes and significant genes, we selected SPP1 (osteopontin) through virtual screening studies. We found functional interactions with the other cancer-associated genes such as VEGF, FGA, JUN, EGFR, and TGFB1. For the virtual screening studies,198 biological compounds were retrieved from the ACNPD database and docked with SPP1 protein (PDBID: 3DSF). In the results, two highly potential compounds secoisolariciresinol diglucoside (-12.9 kcal/mol), and Hesperidin (-12.0 kcal/mol) showed the highest binding affinity. The stability of the complex was accessed by 100 ns simulation in an SPC water model. From the functional insights obtained through these computational studies, we report that SPP1 could be a potential biomarker and successive therapeutic protein target for lung cancer treatment. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Internet of things-based virtual private social networks on a text messaging strategy on mobile platforms
A virtual private social network (VPSN) allows a device to communicate securely with a network via the internet. Confidential data may be sent more securely thanks to the encrypted connection; it allows the user to operate remotely and prevents unauthorised parties from listening in. A mobile messaging platform is a text-enabled mailbox on the web. They enable companies and organisations to communicate with clients via text message. Social networking organisations may now use compute resources as a utility instead of creating and managing their computer infrastructures thanks to cloud computing (CC). An example of how a distributed sensor-actor environment might be used in a sociology-technical network is shown in this paper. The results are obtained as regular media access actively is 85.7%, security services in IoT is 85.37%, text attackers is 83.6%, loss of information is 82.8%, and blocking text messages is 91.48%. Copyright 2024 Inderscience Enterprises Ltd. -
EFFECTS OF VIRTUAL PRIVATE SOCIAL NETWORKING IN ACADEMIC PERFORMANCE OF STUDENTS
A virtual private social network (VPSN) is generated automatically amongst peers using a social media app to build ties. One of the most significant repercussions of students' excessive usage of social networking sites is a decline in their academic performance. In a study of medical students, social media and the internet were shown to harm students' academic performance and classroom attentiveness. An increasing number of studies link the use of social media to poorer academic performance, such as fewer students doing their assignments and lower test scores. Students who receive specialised training in deep learning will have the superior cognitive abilities needed to succeed in today's more cognitively demanding workplaces. It teaches children to be critical thinkers, productive members of society, and active participants in a democratic society. As a perceptron used in image recognition and processing, a convolutional neural network (CNN) processes pixel data from social networks. A CNN uses multiplayer perception to lessen the processing needs of pupils. Humans and neurons make up the VPSN-CNN network, which the article explains. Neurons generate dendrites and axons to receive and transmit signals, while humans engage with long-reaching telecommunication equipment or biological communication systems. These will help remember, learn, unlearn, and relearn what has already been learned. In courses where social networking sites were utilised in addition to traditional teaching methods, most students reported feeling more socially engaged and more positive about their educational experiences. Students' and instructors' concerns regarding the educational usage of social media are addressed with recommendations for further study and practice in better performance and accuracy for student's data secure and comparison with existing methods. 2023 Little Lion Scientific. All rights reserved.