Browse Items (11809 total)
Sort by:
-
Effects of Variable Viscosity and Internal Heat Generation on RayleighBard Convection in Newtonian Dielectric Liquid
The onset of RayleighBard convection of variable-viscosity Newtonian dielectric liquid confined between two parallel plates is subject to free-free isothermal boundary condition. The combined and individual effects of temperature-dependent and electric-field-dependent variable-viscosity along with the internal heat generation are studied using the higher order Galerkin technique. This theoretical study shows that even a mild temperature-dependent variable-viscosity destabilizes the system and the electric-field-dependent variable-viscosity stabilizes the system both in the absence/presence of heat source/sink. 2021, The Author(s), under exclusive licence to Springer Nature India Private Limited. -
EXPLORING THE POTENTIAL OF VELVET BEAN, MUCUNA PRURIENS (L) SEED ON GROWTH AND GONADAL DEVELOPMENT OF MONO-SEX COMMON MOLY POECILIA SPHENOPS (VALENCIENNES, 1846)
Mucuna pruriens, a rich source of L-dihydroxyphenylalanine, commonly known as L-DOPA and a precursor to dopamine, holds potential as a natural nutritional supplement. This study aimed to delve into the impact of incorporating M. pruriens seed powder (MpSP) into the feed on growth parameters and gonadal development of mono-sex common molly (Poecilia sphenops). The fish population was divided into three experimental groups, such as G1, G2, and G3, and a control group (C), each comprising 20 individuals. Over 45 days, the experimental groups were nourished with a commercial diet bolstered by MpSP in different concentrations (5, 7 and 10g/kg of feed, respectively). In contrast, the control group was provided with a regular diet devoid of the supplement. At the end of the experiment, MpSP demonstrated significant modulation (p<0.05) of growth performance metrics, including specific growth rate (SGR), length gain rate (LGR), body mass gain (BMG), and feed conversion ratio (FCR). Impressively, even the lower concentration of MpSP (5g/kg diet) yielded substantial increments in sperm count (p<0.05) and gonadosomatic index (GSI). These findings were corroborated by histological changes that reflected enhanced testicular development, consistently outperforming the control group. These outcomes collectively suggest the potential of velvet bean seed powder as a feasible, natural, and costeffective dietary supplement for enhancing growth and testicular development in mono-sex P. sphenops. (2024) West Bengal Veterinary Alumni Association. All rights reserved. -
From Beans to Business: A Rise of Coffee Preneurs in Kodagu, Karnataka
Coffee is the world's third most consumed beverage after water and tea. India stands at the 7th position as the largest coffee exporter globally, with a significant contribution of 72.5% from Karnataka and 33% from Kodagu alone. This region plays a crucial role in the country's coffee industry, making it a vital component of India's economy, and 80% of the residents of Kodagu rely on coffee cultivation for their livelihood. Coffee farming is considered an annual crop that requires the generated income to be cycled to the subsequent year's coffee cultivation. Planters face numerous challenges during their production, which forces them to sell or convert their agricultural lands into concrete lands (buildings) or convert them into resorts, thereby changing their occupation, which makes coffee sustainability questionable. Therefore, coffee farmers have recently adopted an entrepreneurial approach to augment their income sources and support their livelihoods and occupations. This study aims to assess the key drivers of coffee farmers opting for entrepreneurial activities to assist coffee farming in Kodagu, Karnataka. This study has revealed that additional income, passion for farming, business skills, available resources, opportunity, satisfaction, innovation, creativity, unfair market prices, education, and socialising platforms are the key determining factors for coffee farmers to choose entrepreneurship. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Mechanical Properties and Analysis of Two-body Abrasive Wear Behaviour of Graphene Modified Carbon/Epoxy Composites Using Taguchis Technique
The present work emphasizes the effect of graphene nanoplatelets (G) filler loading on mechanical and abrasive wear behavior of carbon fibre reinforced epoxy (C/E) composites. Graphene nanoplatelets were mixed with epoxy framework using a temperature-controlled magnetic stirrer and then ultrasonically treated. The parameters considered for the abrasive wear study are the applied load in N (5, 10 and 15), abrading distance in m (75, 150, and 225) and weight percentage of reinforcement (0, 1, and 1.5). The incorporation of 1 wt. % G into C/E composites increases hardness by 14 % and interlaminar laminar strength by 19 % when compared to C/E composites. According to the Taguchi design of tests, a filler loading of 1 wt. % G, an abrading distance of 225 m, and an applied load of 15 N are ideal. Analysis of variance (ANOVA) was done to establish the dominant parameter, and the filler loading with abrading distance was shown to be significant. With 36.4 %, the filler loading had the biggest influence on the composite specific wear rate. The combination of filler loading with 1 wt. %, load of 15 N, and abrading distance of 225 m yields the lowest specific wear rate. The involved wear mechanisms during the abrasive wear process have also been explained with scanning electron micrographs. 2024 Published by Faculty of Engineering. -
Brand activism and millennials: an empirical investigation into the perception of millennials towards brand activism /
Problems And Prespectives In Management, Vol.17, Issue 4, pp.163-175, ISSN No: 1727-7051.
-
Riding the waves of culture: An empirical study on acclimatization of expatriates in IT industry
The forces of globalization and subsequent trade across the borders have necessitated the firms to have their presence across the globe to meet the needs of their customers. The employees or expatriates will be sent on assignment to different countries for a period of time ranging from few weeks, months to years. This sudden exposure to the different environment not only makes these expatriates vulnerable to cultural shocks, but also may significantly affect their job performance. Their failure to acclimatize to the foreign conditions will not only hurt the confidence, career and life of the expatriate, but it will also cost a lot to the company. The present paper aims to understand of the process of expatriate adjustment in the Indian Information Technology (IT) industry by examining demographic variables and few organizational variables of expatriate's adjustment process. A structured questionnaire was distributed to the expatriate employees working in 50 IT companies in the Silicon city, Bengaluru. The study uses Chi-square test and linear regression for testing the hypotheses and found that there is a significant influence of demographic variables like gender, work experience and length of assignment on acclimatization of expatriates to their host country culture. The findings of the study proved that there is a significant relationship between demographic variables and the cultural acceptance of the expatriates. Hence, it is suggested that multinational companies should create an enabling environment within the organizations to make international assignees compatible and comfortable with different cultural values and inculcate cultural acceptance to make them successful in their international assignments. Raghavendra A. N., A. Shivakanth Shetty, 2018. -
Is Hedonism present in the purchase of academic books? an empirical analysis in online and traditional purchase methods.
Vol. 1 Issue V, December, ISSN: 2321-9653 -
A rapid investigation of near-infrared (NIR) fluorescent switch-on probes for detection and in cellulo tracking of G-quadruplex and double-stranded DNA
This review provides a comprehensive overview of the recent advancements in Near Infrared (NIR) fluorescence switch-on probes designed for the detection and in cellulo tracking of G-quadruplex and double-stranded DNA (dsDNA). G-quadruplexes, non-canonical DNA structures, play pivotal roles in regulating various biological processes, making them critical targets for therapeutic and diagnostic applications. The unique properties of NIR fluorescence probes, such as deep tissue penetration, minimal photodamage, and low autofluorescence background, offer significant advantages for bioimaging. We critically analyze the design strategies, photophysical properties, and binding mechanisms of various NIR fluorescence switch-on probes. Additionally, we discuss their efficacy and specificity in identifying G-quadruplexes and dsDNA within cellular environments. Key challenges and future directions for improving the sensitivity, selectivity, and biocompatibility of these probes are also highlighted. This review aims to underscore the potential of NIR fluorescence probes in advancing our understanding of DNA dynamics and their applications in biomedical research. 2024 The Royal Society of Chemistry. -
A Cooperative Global Sequencing Algorithm for Distributed Wireless Sensor Networks
Data gathering is a very fundamental use for wireless sensor networks. The area to be monitored has sensor units distributed. They can tell how much demand there is. Temperature, pressure, humidity, sun rays, and other factors could be involved. The detected data is sent to a centralized device called a sink or just a base station. Networks are frequently distributed in character, meaning that more than one kind of instrument is placed in a particular area. There is only one kind of component in uniform networks. A tree is created and anchored at the sink after the nodes have been distributed. In distributed networks, flawless aggregation is challenging to accomplish. In contrast to uniform networks, nodes may receive and transmit multiple types of packets. Every message should be forwarded by the node to a parent so that it can be combined in order to increase the likelihood of aggregation. As a result, a node might need to choose more than one progenitor. This implies that various parameters should be taken into account while forming trees. We have improved the literature's suggested combined distributed scheduling and tree generation for distributed networks. We discover that the expanded method maximizes aggregation, schedules the network with fewer time slots, and uses less energy. Additionally, it is discovered that distributed networks require more management costs to schedule than uniform networks do. 2023 IEEE. -
Total induced vertex stress in barbell-like graphs
This paper introduces new parameters called induced vertex stress and total induced vertex stress in G, respectively. For graphs G and H, aspects of the maximum and minimum total induced vertex stress that can be obtained by 1-edge addition and 2-vertex merging are discussed. 2021 Journal of the Indonesian Mathematical Society. All rights reserved. -
1-Edge contraction: Total vertex stress and confluence number
This paper introduces certain relations between 1-edge contraction and the total vertex stress and the confluence number of a graph. A main result states that if a graph G with ?(G) = k ? 2 has an edge vivj and a ?-set CG such that vi, vj ? CG then, ?(G/vivj) = k ? 1. In general, either S(G/ei) ? S(G/ej) or S(G/ej) ? S(G/ei) is true. This observation leads to an investigation into the question: for which edge(s) ei will S(G/ei) = max{S(G/ej): ej ? E(G)} and for which edge(s) will S(G/ej) = min{S(G/e`): e` ? E(G)}? 2024 Azarbaijan Shahid Madani University. -
Fermented aquatic weed meal (FAWM) as a protein source in Asian Catfish Clarias batrachus diets: Impacts on growth, blood chemistry profile, liver and gut morphology and economic efficiency
The global aquaculture industry is increasingly seeking sustainable alternatives to fishmeal (FM) due to its high price and shortfall in supply. In this context, fermented aquatic weed meal (FAWM) could emerge as a viable plant protein source for aquafeed. Four isoproteic diets [30 % crude protein (CP)] were formulated, incorporating 50 % total protein from FAWM comprising fermented Azolla diet (D1), Pistia diet (D2), and Eichhornia diet (D3). The control diet (D0) did not contain FAWM. At the end of the 90 days feeding trial, their growth performance, whole-body proximate composition, gut microbial load, haemato-biochemical indices, liver and gut health, and economic efficiency were determined. Fish fed with D0 had significantly (p < 0.05) improved growth performance and feed utilization compared to other treatment groups. Meanwhile, the fish supplemented with D1 diet exhibited significantly (p < 0.05) higher final weight (g), specific growth rate (%/day), weight gain (%), total biomass (g), and protein efficiency ratio among the FAWM dietary groups. The D1 group also demonstrated the significantly (p < 0.05) highest whole-body CP (64.27 0.40 %) and lower crude lipid (8.24 0.28 %) compared to other test diets. The total bacteria (TB) and lactic acid bacteria (LAB) in the fish gut were found to be significantly (p < 0.05) higher in D1 group. Furthermore, most of the hemato-biochemical indices of fish were significantly (p < 0.05) affected by FAWM inclusions, with few exceptions. The histological findings indicated that amongst the FAWM groups, D1 fish exhibited improved intestinal health. Nonetheless, the gut of the control fish demonstrated substantially (p < 0.05) lower villi width and crypt depth than other treatments. The D1 and D2 diet groups had significantly improved liver health. Moreover, FAWM inclusion enhanced economic efficiency by considerably reducing farm feed cost (US$/kg) and increasing return on investment (%). In summary, dietary inclusion of fermented Azolla pinnata (D1) protein at 50 % in aquafeed promoted feed utilization, growth, health, and farm economics of Asian catfish fingerlings compared to other FAWM diets. 2024 The Authors -
Neutron Polarization Observables in d(Formula Presented.)p at Low Energies of Interest to Astrophysics
A model-independent theoretical analysis of neutron polarization observables in (Formula Presented.) using circularly polarized photons at the range of energies of interest to Big Bang Nucleosynthesis is presented. An investigation of various spin dependent observables is carried out including the isoscalar multipole amplitudes M1s and E2s. It is suggested that the measurement of neutron polarization in the final state at near threshold energies will be very useful to assess the contribution of isoscalar amplitudes at range of energies of interest to BigBang Nucleosynthesis. 2022, The Author(s). -
Complete analysis of beam analyzing powers in d + ? ? ? n + p at near threshold energies
Focusing attention on the photon spin in d ( ? ? , n ) p at near threshold energies of interest to Big Bang Nucleosynthesis, a complete analysis of beam analyzing powers in d ( ? ? , n ) p reaction is carried out. A complete analysis of the reaction needs not only measurements using one state of linear polarization of photon but also measurements using another state of linear polarization inclined to the first at ?/4 and the two states of circular polarization of the photon. A discussion on the complete characterization of the states of photon polarization is presented. The beam analyzing powers with respect to photon polarization are discussed theoretically, using model independent irreducible tensor formalism. 2022 IOP Publishing Ltd. -
Photocatalytic Degradation of Textile Dyes Using Quassia india (Gaertn.) Noot. Mediated Nanoparticles
Prognostic research points at the necessity and relevance of revamping polluted newlineenvironments. The toxic effect of textile dyes released into waterbodies can be reduced newlineby the degradation process and alternate methods in nanotechnology are used to lessen newlinethe gravity of the situation. Compared with chemical and physical nanoparticle synthesis, plant extract-based nanoparticle synthesis is an environmentally friendly alternative method. UV-visible spectrum analysis validated the production of nanoparticles (NPs), revealing unique peaks at 430 nm for Quassia indica (QI)- mediated Silver nanoparticles (QI-Ag NPs), 368 nm for QI-mediated Cobalt oxide nanoparticles (QI-Co3O4 NPs), 348 nm for QI-mediated Zinc oxide nanoparticles (QIZnO NPs, 350 nm and 408 nm for QI-mediated Silver/Zinc oxide nanoparticles (QIAg/ZnO NPs), 415 nm and 675 nm for QI-mediated Cobalt oxide/Zinc oxide newlinenanoparticles (QI-Co3O4/ZnO NPs). Fourier Transform Infrared Spectroscopy (FTIR) newlineinvestigation identified phytochemicals involved in nanoparticle synthesis. The X- Ray Diffraction (XRD) examination unveiled the crystalline structures of QI-mediated NPs. Dynamic Light Scattering (DLS) study revealed information on the hydrodynamic newlinediameter and colloidal stability of the NPs, which showed average particle size. Field newlineEmission Scanning Electron Microscopy (FE-SEM) and Energy-Dispersive X-Ray newlineSpectroscopy (EDX) were used to investigate the morphology and elemental composition of NPs. The morphological shapes of QI-Ag NPs were spherical, QI-ZnO NPs showed hexagonal, QI-Co3O4 NPs displayed octahedral, QI-Ag/ZnO NPs exhibited spherical structure, and QI-Co3O4/ZnO NPs unveiled a mixture of octahedral and hexagonal shaped NPs. The High-resolution Transmission Electron Microscopy (HR-TEM) validated the NPs size and Selected Area Electron Diffraction (SAED) newlineconfirmed the crystalline characteristics. -
Corporate Default Prediction Model: Evidence from the Indian Industrial Sector
The unprecedented pandemic COVID-19 has impacted businesses across the globe. A significant jump in the credit default risk is expected. Credit default is an indicator of financial distress experienced by the business. Credit default often leads to bankruptcy filing against the defaulting company. In India, the Insolvency and Bankruptcy Code (IBC) is the law that governs insolvency and bankruptcy. As reported by the Insolvency and Bankruptcy Board of India (IBBI), the number of companies filing for bankruptcy under IBC is on a rise, and the industrial sector has witnessed the maximum number of bankruptcy filings. The present article attempts to develop a credit default prediction model for the Indian industrial sector based on a sample of 164 companies comprising an equal number of defaulting and nondefaulting companies. A total of 120 companies are used as training samples and 44 companies as the testing samples. Binary logistic regression analysis is employed to develop the model. The diagnostic ability of the model is tested using receiver operating characteristic curve, area under the curve and annual accuracy. According to the study, return on assets, current ratio, debt to total assets ratio, sales to working capital ratio and cash flow to total assets ratio is statistically significant in predicting default. The findings of the study have significant implications in lending and investment decisions. 2021 MDI. -
Bioremediation of Heavy Metal Contaminated Sites Using Phytogenic Nanoparticles
Heavy metals (HMs) accumulate in milieu due to various human activities that persist leading to biomagnification in food chains and cause unpleasant effects on human health and environment. Pollutants such as organic matter and HMs are reme-diated traditionally by chemical precipitation, electrochemical treatment, adsorption, reverse osmosis, ion exchange, coagulation, and photo-catalyzation, remained inef-fective. Use of nanomaterials conjugated with various compounds showed significant reduction in several contaminated sites. However, existing implication of nanotech-nology works with nanoparticles (NPs) synthesis majorly involved the use of chem-ical raw materials and physical methods which are relatively toxic and unstable. Aforesaid difficulties made researchers and entrepreneurs to reconnoitre effective, newer, and novel synthesis approaches for the replacement over older version. During the past decade, to overcome these issues plant-derived NPs are extensively used because of its less cost, efficiency, and eco-friendly in nature. Hence, advanced alternative technology like phytoremediation using nanomaterials with innovative techniques has been a boon for HM remediation. Efficiency of green synthesized NPs is based on redox reactions which makes metals stable facilitated by flavonoids and polyphenols responding to HM-stress. Several metal complexation processes are known to produce phytochelatins or other metal-chelating peptides helping the biore-mediation of HMs. Current chapter throws light on adaptive mechanism employed by NPs coupled with plant or microbial extracts in overcoming the HM stress. Further-more, here we also focus on the possible mechanism and interaction between NPs and HM in minimizing severity of polluted sites with many examples. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Designing A New Encryption - Then - Compression System for Grayscale Images Utilizing Entropy Encryption
In the digital era, images and video sequences have dramatically increased newlinebecause of the rapid growth of the Internet and the widespread utilization of multimedia systems. The advancement in technology facilitates a faster way of transmitting data; however, the channel used for communication is an untrusted medium. The proposed research focus on the secure newlinetransmission of grayscale images over a social networking site (SNS) provider called the untrusted channel. Rigorous research has been conducted on the secure transmission of images and proposed different models, namely Compression-then-Encryption (CtE) Systems and newlineEncryption-then-Compression (EtC) Systems. In EtC, the encrypted information is transmitted over the channel. However, the channel is newlinecompressing the information to reduce the overall traffic. Due to the compression performed by the channel, the decryption process may fail on the receiver side. Constructing an efficient EtC model, as good as the standard compression algorithms, will address the gap in research. Four objectives were formulated, and schemes were proposed for each objective to address the problem. Two schemes were developed to address the first objective, eliminating noise incurred during transmission through the channel. The first scheme eliminates the noise using a two-pass hybrid mean and median filter. In the second scheme, a supervised curve fitting a linear regression model with a mean filter is applied. To secure the transmission of images over the untrusted channel, the objectives two and three address the scrambling and encryption of images. A hybrid of improved Arnold transforms and ElGamal encryption is experimented with in the first scheme to address scrambling and encryption. In this initially, a Block-wise scrambling is applied to the image, followed by pixels-wise newlinescrambling within the block followed by Arnolds transform. The outcome is given to ElGamal encryption. -
A Two-Pass Hybrid Mean and Median Framework for Eliminating Impulse Noise From a Grayscale Image
In a digital era, Image recuperation plays a vital role in the area of digital image processing. Image instauration offers more visualization on the quality of the image thereby eliminating noise. Elimination of Gaussian and impulse noise is a challenging problem in the area of image restoration. Rigorous research is pursued to restore salt-and-pepper (SAP) noise utilizing spatial filters. Mean and Median are two contributing spatial filters for eliminating impulse noise. This paper applies a two-pass hybrid mean and median framework on a corrupted grayscale image to replace salt and pepper noise. The hybrid framework is effectively restoring the image by abstracting the low, medium, and high-density impulse noise. The efficacy of the recommended strategy is evaluated by quantifying the peak signal to noise ratio and structural similarity index metric. The result obtained when compared with recent recuperation strategies outperforms to remove noise from grayscale images. 2021 IEEE -
A Hybrid Grayscale Image Scrambling Framework Using Block Minimization and Arnold Transform
Image disarranging is the process of randomly rearranging picture elements to make the visibility unreadable and break the link among neighboring elements. Pixel values often don't change while they are being scrambled. There has been a slew of proposed image encryption techniques recently. The two steps that most image encryption algorithms go through are confusion and diffusion. Using a scrambling technique, the pixel positions are permuted during the confusion phase, and an inverse-able function is used to modify the pixel values during the diffusion phase. A good scrambling method practically eliminates the high relationships between adjacent pixels in a picture. In the proposed scheme, XOR based minimization operator is applied on blocks of images followed by Arnold Transform. The suggested design is assessed using a matrix comprising the Structured Similarity Index and the Peak Signal to Noise Ratio. The computed PSNR value less than 10 indicates the input image and scrambled image has high variation. The SSIM value nearer to 0 indicates no similarity in the structure of the input image and scrambled image. 2024 IEEE.