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Improving Organizational Sustainable Performance of Organizations Through Green Training
It is necessary to equip employees with green abilities as well as to develop their dedication towards green behaviour, in order to improve an organization's environmental performance. The purpose of this research is to evaluate the direct impact of green training on organizational environmental performance (OEP) and the mediating effect of organizational citizenship behaviour on the environment (OCBE). The study is based on responses from 107 employees of the IT sector in India. The findings suggest that green training has a significant positive impact on the organizational environmental performance, and that the impact is strengthened by organizational citizenship behaviour towards the environment. The findings are of particular importance given the growing importance of sustainability in the organizational context. 2023 IGI Global. All rights reserved. -
Improving the Security of Video Embedding Using the CFP-SPE Method
With the amount of data being transferred on a daily basis, it is becoming increasingly dangerous to save data on the Internet in the face of intruders or hackers. This study paper is one of the most effective ways to transmit information in a secure and confidential manner. The authors previously disclosed a way for embedding a secret video inside a cover video in their prior work. The writers have implemented a number of techniques to incorporate the secret video. The current work improves on the existing approach by including encryption and decryption concepts into the video embedding process. The secret data for either a large or little amount of information is put on the cover video utilising the embedding technique. Our proposed method combines compression, encryption, decryption, and secret information embedding to provide a more secure data transfer. 2022 Karthick Panneerselvam et al. -
Improvising data security measures using rajan transform
Data security has always been a concern with the use of a large amount of data in our day-to-day life. There are many methods suggested and presented to secure data during the stages of its preprocessing and post-processing. However, many of them are not following the process of Homomorphism. During the study of Fast Fourier transform (FFT), Hadamard transform (HT) and Rajan transform (RT), this research work encountered a method that uses the cyclic, dyadic and graphical inverse properties of data and encrypts them which makes them homomorphic. This paper is targeting to improvise the data security measures using Homomorphism-based Rajan Transform, a method, which can help in securing data while data processing. The proposed methodology works in such a way that the encrypted data is available for processing without decrypting data into the original form. The performance of the proposed method is described by the efficiency of the algorithm, key size, Block size, and no of rounds required to complete the encryption. It has been found, if we take 512 bits of input data to get 512-bit ciphertext, it takes 9 rounds and generates a 4608-bit key. 2021 Taylor's University. All rights reserved. -
Impulse noise recuperation from grayscale and medical images using supervised curve fitting linear regression and mean filter
Acquisition of images from electronic devices or Transmission of the image through any medium will cause an additional commotion. This study aims to investigate a framework for eliminating impulse noise from grayscale and medical images by utilizing linear regression and a mean filter. Linear regression is a supervised machine learning algorithm that computes the value of a dependent variable based on an independent variable. The value of the recuperating pixel is measured using a curve-fitting, direction-based linear regression approach or applying a mean filter to the noise-free pixels. The efficiency of the proposed technique experiments with benchmark test images and the images of the USC-SIPI and TESTIMAGES data sets. Peak signal-to-noise ratio (PSNR) and structural similarity index metrics (SSIM) are determined to prove the performance of the proposed method. The results, when compared with the seven recent state-of-the-art techniques, show the superiority of the proposed method in terms of visual quality and accuracy. The proposed model achieves an average PSNR value of 65.21dB and an SSIM value of 0.999 for the reconstruction of medical images, proving its accuracy and efficiency. The impulse noise restoration process helps the radiologist get a clear visual clarity of the medical image for diagnosis purposes. 2022 Institute of Advanced Engineering and Science. All rights reserved. -
In search for FPI trail in blue-chip Indian bourse during a phase of rehabilitation- An investigative study /
Asian Journal of Management, Vol.8, Issue 1, pp.107-111, ISSN: 0976-495X (Print), 2321-5763 (Online). -
In search of radio emission from exoplanets: GMRT observations of the binary system HD 41004
This paper reports Giant Metrewave Radio Telescope (GMRT) observations of the binary system HD 41004 that are among the deepest images ever obtained at 150 and 400 MHz in the search for radio emission from exoplanets. The HD 41004 binary system consists of a K1 V primary star and an M2 V secondary; both stars are host to a massive planet or brown dwarf. Analogous to planets in our Solar system that emit at radio wavelengths due to their strong magnetic fields, one or both of the planet or brown dwarf in the HD 41004 binary system are also thought to be sources of radio emission. Various models predict HD 41004Bb to have one of the largest expected flux densities at 150 MHz. The observations at 150 MHz cover almost the entire orbital period of HD 41004Bb, and about 20percent of the orbit is covered at 400 MHz. We do not detect radio emission, setting 3? limits of 1.8 mJy at 150 MHz and 0.12 mJy at 400 MHz. We also discuss some of the possible reasons why no radio emission was detected from the HD 41004 binary system. 2020 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. -
In silico analysis of NHP2 membrane protein, a novel vaccine candidate present in the RD7 region of Mycobacterium tuberculosis
Mycobacterium tuberculosis, the etiological agent of tuberculosis, is one of the trickiest pathogens. We have only a few protective shields, like the BCG vaccine against the pathogen, which itself has poor efficacy in preventing adult tuberculosis. Even though different vaccine trials for an alternative vaccine have been conducted, those studies have not shown much promising results. In the current study, advanced computational technology was used to study the potential of a novel hypothetical mycobacterial protein, identified by subtractive hybridization, to be a vaccine candidate. NHP2 (Novel Hypothetical Protein 2), housed in the RD7 region of the clinical strains of M. tuberculosis, was studied for its physical, chemical, immunological and structural properties using different computational tools. PFAM studies and Gene ontology studies depicted NHP2 protein to be functionally active with a possible antibiotic binding domain too. Different computational tools used to assess the toxicity, allergenicity and antigenicity of the protein indicated its antigenic nature. Immune Epitope Database (IEDB) tools were used to study the T and B cell determinants of the protein. The 3D structure of the protein was designed, refined and authenticated using bioinformatics tools. The validated tertiary structure of theprotein was docked against the TLR3 immune receptor to study the binding affinity and docking scores. Molecular dynamic simulation of the protein-protein complex formed were studied. NHP2 was found to activate host immune response against tubercle bacillus and could be explored as a potential vaccine in the fight against tuberculosis. 2023, The Author(s), under exclusive licence to Plant Science and Biodiversity Centre, Slovak Academy of Sciences (SAS), Institute of Zoology, Slovak Academy of Sciences (SAS), Institute of Molecular Biology, Slovak Academy of Sciences (SAS). -
In Silico Analysis of the Apoptotic and HPV Inhibitory Roles of Some Selected Phytochemicals Detected from the Rhizomes of Greater Cardamom
Occurrence of cervical cancer, caused due to persistent human papilloma virus (HPV) infection, is common in women of developing countries. As the conventional treatments are expensive and associated with severe side effects, there is a need to find safer alternatives, which is affordable and less toxic to the healthy human cells. Present study aimed to evaluate the anti-HPV and apoptotic potential of four compounds from the greater cardamom (Amomum subulatum Roxb. var. Golsey), namely rhein, phytosphingosine, n-hexadecenoic acid and coronarin E. Their anti-HPV and apoptotic potential were studied against viral E6, E7 and few anti-apoptotic proteins of host cell (BCL2, XIAP, LIVIN) by in silico docking technique. Phytochemicals from the plant extract were analysed and identified by LC/MS and GC/MS. Involvement of the target proteins in various biological pathways was determined through KEGG. Structural optimization of the three-dimensional structures of the ligands (four phytochemicals and control drug) was done by Avogadro1.1. Receptor protein models were built using ProMod3 and other advanced tools. Pharmacophore modelling of the selected phytochemicals was performed in ZINCPharmer. Swiss ADME studies were undertaken to determine drug likeness. The ligands and proteins were digitally docked in DockThor docking program. Protein flexibility-molecular dynamic simulation helped to study proteinligand stability in real time. Finally, the correlation of evaluated molecules was studied by the use of principal component analysis (PCA) based on the docking scores. All the ligands were found to possess apoptotic and anti-cancer activities and did not violate Lipinsky criteria. n-Hexadecanoic acid and its analogues showed maximum efficacy against the target proteins. All the proteinligand interactions were found to be stable. The uncommon phytochemicals identified from rhizomes of greater cardamom have anti-cancer, apoptotic and HPV inhibitory potentials as analysed by docking and other in silico studies, which can be utilized in drug development after proper experimental validation. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata
A number of phytochemicals have been identified as promising drug molecules against a variety of diseases using an in-silico approach. The current research uses this approach to identify the phyto-derived drugs from Andrographis paniculata (Burm. f.) Wall. ex Nees (AP) for the treatment of diphtheria. In the present study, 18 bioactive molecules from Andrographis paniculata (obtained from the PubChem database) were docked against the diphtheria toxin using the AutoDock vina tool. Visualization of the top four molecules with the best dockscore, namely bisandrographolide (?10.4), andrographiside (?9.5), isoandrographolide (?9.4), and neoandrographolide (?9.1), helps gain a better understanding of the molecular interactions. Further screening using molecular dynamics simulation studies led to the identification of bisandrographolide and andrographiside as hit compounds. Investigation of pharmacokinetic properties, mainly ADMET, along with Lipinskis rule and binding affinity considerations, narrowed down the search for a potent drug to bisandrographolide, which was the only molecule to be negative for AMES toxicity. Thus, further modification of this compound followed by in vitro and in vivo studies can be used to examine itseffectiveness against diphtheria. 2023 by the authors. -
In silico molecular docking study of Andrographis paniculata phytochemicals against TNF-? as a potent anti-rheumatoid drug
Tumor necrosis factor-? (TNF-?) is a proinflammatory cytokine which plays a crucial role in controlling inflammatory responses. The pathway of Rheumatoid arthritis (RA) leading to TNF-alpha is activated by macrophages and quite often by natural killer cells and lymphocytes. In the inflammatory phase, it is believed to be the main mediator and to be anchored with the progression of different diseases such as ankylosing spondylitis, Crohn's disease, and Rheumatoid arthritis (RA). The major goal of this study is to use in silico docking studies to investigate the anti-inflammatory potential of a bioactive molecule from the medicinal plant Andrographis paniculata. The three-dimensional structures of different phytochemicals of A. paniculata were obtained from PubChem database, and the receptor protein was derived from PDB database. Docking analysis was executed using AutoDock vina, and the binding energies were compared. Bisandrographolide A and Andrographidine C revealed the highest score of ?8.6 Kcal/mol, followed by, Neoandrographolide (?8.5 Kcal/mol). ADME and toxicity parameters were evaluated for these high scoring ligands and results showed that Andrographidine C could be a potent drug, whereas Neoandrographolide and Bisandrographolide A can be modified in invitro and can lead to a promising drug. Further, the top scorer (Andrographidine C) and control drug (Leflunomide) were subjected to 100 ns MD Simulation. The protein complex with Andrographidine C had more stable confirmation with lower RMSD (0.28 nm) and higher binding energy (?133.927 +/? 13.866 kJ/mol). In conclusion, Andrographidine C may be a potent surrogate to the disease-modifying anti-rheumatic drugs (DMARDs) & Non-steroidal anti-inflammatory drugs (NSAIDs) that has fewer or minor adverse effects and can aid in RA management. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
In silico studies of viral protein inhibitors of Marburg virus using phytochemicals from Andrographis paniculata
The Marburg virus is a causative agent of Marburg hemorrhagic fever, which was discovered in Marburg, Germany, in 1967. It is a highly contagious and fatal disease transmitted by body fluids. The reservoir host is African fruit bats. Currently, there is no vaccine available to control this disease. Medicinal plants possess many phytochemicals of great therapeutic value. Many have antiviral properties and have been identified as promising drug molecules against various viral diseases proven with an in silico approach. The current research uses the in silico approach to identify the phyto-derived drugs from Andrographis paniculata to treat the Marburg virus. Twenty-four bioactive molecules from the A. paniculata plant were investigated against the targets VP35 and VP40 of Marburg viral proteins using the AutoDock Vina 1.1.2 tool. Out of 24 compounds, Andrographidine C, Andrographidine A, Andrographolactone, and 7-O-methylwogonin showed best docking scores for the target VP40 dimer while Bisandrographolide A, Luteolin Andrographolide, and Andrographiside showed best docking scores with VP35 protein. To determine the druglikeness, pharmacokinetic and pharmacodynamic properties and toxicity for each targets highest docking score compound was assessed using the Swiss absorption, distribution, metabolism, and excretion (ADME) and pkCSM tool. Andrographidine C and Andrographolide performed well in all the parameters of ADME and toxicity. These compounds are recommended as effective inhibitors of VP35 and VP40 of Marburg virus and potential antiviral drugs to treat the hemorrhagic disease. Furthermore, in vitro and in vivo studies can be used to examine the effectiveness and mode of action against the proteins of the Marburg virus. 2023 R. Hariprasath et al -
In silico study of some selective phytochemicals against a hypothetical SARS-CoV-2 spike RBD using molecular docking tools
Background: This world is currently witnessing a pandemic outbreak of COVID-19? caused by a positive-strand RNA virus SARS-CoV-2. Millions have succumbed globally to the disease, and the numbers are increasing day by day. The viral genome enters into the human host through interaction between the spike protein (S) and host angiotensin-converting enzyme-2 (ACE2) proteins. S is the common target for most recently rolled-out vaccines across regions. A recent surge in single/multiple mutations in S region is of great concern as it may escape vaccine induced immunity. So far, the treatment regime with repurposed drugs has not been too successful. Hypothesis: Natural compounds are capable of targeting mutated spike protein by binding to its active site and destabilizing the spike-host ACE2 interaction. Materials and methods: A hypothetical mutated spike protein was constructed by incorporating twelve different mutations from twelve geographical locations simultaneously into the receptor-binding domain (RBD) and docked with ACE2 and seven phytochemicals namely allicin, capsaicin, cinnamaldehyde, curcumin, gingerol, piperine and zingeberene. Molecular Dynamic (MD) simulation and Principal Component Analysis (PCA) were finally used for validation of the docking results. Result: The docking results showed that curcumin and piperine were most potent to bind ACE2, mutated spike, and mutated spike-ACE2 complex, thereby restricting viral entry. ADME analysis also proved their drug candidature. The docking complexes were found to be stable by MD simulation. Conclusion: This result provides a significant insight about the phytochemicals' role, namely curcumin and piperine, as the potential therapeutic entities against mutated spike protein of SARS-CoV-2. 2021 -
In situ fabricated MOF-cellulose composite as an advanced ROS deactivator-convertor: Fluoroswitchable bi-phasic tweezers for free chlorine detoxification and size-exclusive catalytic insertion of aqueous H2O2
Combining the merits of structural diversity, and purposeful implantation of task-specific functionalities, metal-organic frameworks (MOFs) instigate targeted reactive oxygen species (ROS) scavenging and concurrent detoxification via self-calibrated emission modulation. Then again, grafting of catalytically active sites in MOFs can benefit developing a greener protocol to convert ROS generators to technologically important building blocks, wherein tailorable MOF-composite fabrication is highly sought for practical applications, yet unexplored. The chemo-robust and hydrogen-bonded framework encompassing free -NH2 moiety affixed pores serves as an ultra-fast and highly regenerable fluoro-probe for selective detection of toxic ROS producers hypochlorite ion (ClO-) and H2O2 with record-level nanomolar sensitivity. While the bio-relevant antioxidant l-ascorbic acid (AA) imparts notable quenching to the MOF, a significant 3.5 fold emission enhancement with bi-phasic colorimetric variation ensues when it selectively scavenges ClO- from uni-directional porous channels through an unprecedented molecular tweezer approach. Apart from a battery of experimental evidence, density functional theory (DFT) results validate "on-off-on"fluoroswitching from redistribution of MOF orbital energy levels, and show guest-mediated exclusive transition from "Tight state"to "Loose state". The coordination frustrated metal site engineered pore-wall benefits the dual-functionalized MOF in converting the potential ROS generator H2O2via selective alkene epoxidation under mild-conditions. Importantly, sterically encumbered substrates exhibit poor conversion and demonstrate first-ever pore-fitting-induced size selectivity for this benign oxidation. Judiciously planned control experiments in combination with DFT-optimized intermediates provide proof-of-concept to the ionic route of ROS conversion. Considering an effective way to broaden the advanced applications of this crystalline material, reconfigurable MOF@cotton fiber (CF) is fabricated via in situ growth, which scavenges free chlorine and concomitantly squeezes it upon exposure to AA with obvious colorimetric changes over multiple real-life platforms. Furthermore, multi-cyclic alkene epoxidation by MOF@CF paves the way to futuristic continuous flow reactors that truly serves this smart composite as a bimodal ROS deactivator-convertor and explicitly denotes it as an advanced promising analogue from contemporary state-of-the-art materials. The Royal Society of Chemistry. -
In situ growth of octa-phenyl polyhedral oligomeric silsesquioxane nanocages over fluorinated graphene nanosheets: super-wetting coatings for oil and organic sorption
Superhydrophobic surfaces offer significant advantages through their hierarchical micro/nanostructures, which create optimal surface roughness and low surface energy, making the development of robust surfaces essential for enhancing their physical and chemical stability. Here, we introduce in situ growth of octa-phenyl polyhedral oligomeric silsesquioxane (O-Ph-POSS) nanocages over multi-layered fluorinated graphene (FG) nanosheets through hydrolysis/condensation of phenyl triethoxysilane in an alkaline medium to produce a robust POSS-FG superhydrophobic hybrid. The efficient in situ growth of O-Ph-POSS nanocages over FG nanosheets was confirmed by FT-IR spectroscopy, PXRD, SEM, TEM, TG analysis, 29Si NMR spectroscopy, N2 adsorption-desorption isotherms and XP spectroscopy. The as-synthesized O-Ph-POSS over FG becomes superhydrophobic with a water contact angle (WCA) of 152 2 and a surface free energy (SFE) of 5.6 mJ m?2. As a result of the superhydrophobic property and robust nature of the POSS nanocage, O-Ph-POSS over FG nanosheets revealed the absorption capability for oils/organic solvents ranging from 200 to 500 wt% and were applied to coat onto the polyurethane (PU) sponge to effectively separate various oils and organic solvents from water mixtures, achieving separation efficiencies between 90% and 99%. Importantly, O-Ph-POSS-FG@Sponge still retained a separation efficiency of over 95% even after 25 separation cycles for hexane spill in water. The sponge efficiently separates toluene and chloroform using a vacuum pump, achieving flux rates of up to 20 880 and 12 184 L m?2 h?1, respectively. Weather resistance tests of O-Ph-POSS-FG@Sponge, prepared at intervals of 1 week and 1 year, showed that aged samples retained similar WCA values to freshly prepared sponges, confirming their long-term durability and performance. Mechanical stability assessments indicated that O-Ph-POSS-FG@Sponge maintained superhydrophobic properties, with WCA values of 151 2 for tape peeling and emery paper treatments and 150 2 for knife cutting, highlighting its excellent stability under physical deformation. Additionally, leveraging the exceptional resistance of O-Ph-POSS, the superhydrophobic O-Ph-POSS-FG@Sponge exhibited excellent stability and durability, even under supercooled and hot conditions during oil/water separation. Optical microscopy analysis of O/W and W/O emulsions, both stabilized by a surfactant, revealed complete droplet separation, further confirming the O-Ph-POSS-FG@Sponge's effectiveness for emulsion separation applications. The present work provides a straightforward method for the large-scale production of robust, superhydrophobic materials suitable for cleaning up oil spills on water surfaces. 2025 The Royal Society of Chemistry. -
In vivo, in vitro and in silico screening of a potent Angiotensin Converting Enzyme (ACE) inhibitor from Trigonella foenum-graecum extract using Zebrafish as a model organism to reduce hypertension
The number of patients suffering from hypertension is on the rise worldwide and there is a need to explore natural products which can supplement current drugs to treat this disease. RAAS (Renin Angiotensin Aldosterone System) is one of the factors maintaining blood pressure. In the present investigation, we explored the potential of methanolic extract of fenugreek seeds in inhibiting Angiotensin Converting Enzyme (ACE), a key enzyme in the RAAS system, thereby reducing hypertension. In addition to in vivo studies conducted on zebrafish, in vitro and in silico studies were also performed to assess the inhibitory effect of the fenugreek extract on ACE. The bioactive components in Trigonella foenum-graecum revealed by GC-MS were further subjected to docking and binding studies with the receptor protein ACE. Of the various phytochemicals studied, arachidonic acid exhibited the maximum inhibitory effect on ACE. Thus, the present investigation was able to favorably screen a potent ACE inhibitor in Trigonella foenum-graecum extract which shows a potential to be used alone or supplemented with synthetic ACE inhibitors to treat high blood pressure. Further investigations are required to quantify the phytochemical for its inhibitory activity and also to understand the mechanism of inhibition of the enzyme. 2020 World Research Association. All rights reserved. -
In-phase, out-of-phase, bottom-wall two-frequency boundary temperature modulations on the onset of Rayleigh-Bard convection
The onset of convection in a Newtonian liquid-containing system is investigated using a two-frequency boundary temperature. The consequences of three types of two-frequency boundary temperature modulations have been thoroughly investigated: (i) in-phase, (ii) out-of-phase, and(iii) bottom-wall. The combined effect of two frequencies with sinusoidal and nonsinusoidal wave types is also documented under these various types of boundary temperature modulations. To facilitate the study, the Venezian method is approvedand the critical Rayleigh number and its correction are calculated. The parameters resulting from the study's two frequencies of modulation are the mixing angle, (Formula presented.), the amplitudes, (Formula presented.), and the set of coprime integers, (Formula presented.). The system's thermodynamics determines the range of these parameters. The research discovered that out-of-phase two-frequency boundary temperature modulation is the most stable, while in-phase is the least stable. Besides that, any combination of wave type with square wave type yields the most excellent stability. Furthermore, the two-frequency boundary temperature modulation is more stable than the single-frequency and no-modulation cases. 2022 Wiley Periodicals LLC. -
In-plant production of bricks containing waste foundry sandA study with Belgaum foundry industry
The main objective of this study is to utilize waste foundry sand (WFS) from Belgaum foundry industry in manufacturing of bricks. The process involved production of bricks in a fully functioning brick manufacturing plant, which has a production capacity of approximately 50000 bricks per month. The entire process of combining clay-sand mixtures, forming of bricks, drying and firing was done with local conditions. With minimum process it was possible to introduce upto 50% WFS in clay bodies to produce bricks of desirable properties. The minimum average wet compression resistance of 3.3 Mpa, and maximum average water absorption of 21.6% was obtained for bricks containing 50% WFS, when fired at 900 C. There was insignificant difference in apparent porosity, water absorption, and specific gravity of bricks containing WFS, when compared to commercial bricks. The addition of WFS reduced the bulk density of the bricks, which has also caused reduction in compressive strength. WFS bricks can be classified as class III bricks, based on recommendations of IS 1077 standard specification. These bricks can be used in single storied load bearing structures, and also in the construction of infill walls in multi-storied framed structures. The structure, composition, and morphology of the raw materials, as well as bricks were studied by XRD, XPS, and SEM, respectively. 2018 The Authors -
In-Vitro Investigation of the ?-Amylase Inhibition Activity of Bare Bis-Benzylidene-Cyclohexanone Synthesized by a Highly Selective Solvent-Free Route
Current work reports the highly selective, solvent-free synthesis of an endorsed bioactive compound, Bis benzylidine cyclohexanone (BBC) through solid acid catalysed cross aldol condensation route and checks its in-vitro bio activity. The catalytic support (Multiwalled carbon nanotube) employed was synthesized through the highly sophisticated catalytic chemical vapor deposition (CVD) method and simple mechanical grinding strategy was adopted to decorate sulfonic acid on the support. The C1s X-ray photoelectron peak of at 290.3 eV confirms the effective interaction of sulfonic acid with MWCNT. The sharp and intense desorption peaks observed at approximately 528.7 C and 655.15 C in the TPD analysis unmistakably substantiate the strong acidity of the synthesized system. The alpha amylase inhibition activity of the synthesized compound was calculated to be around 88.5 %, which is in par with the commercial drug as it could inhibit only 96 %. Further, the in-silico (Docking and Molecular Dynamic Simulation) investigations unveiled a new target site for the compound and this can further be studied in detail to advance the applications in drug design. Detailed scrutiny of various parameters was conducted to validate the bioactivity and pharmaceutical potential of the synthesized compound. 2023 Wiley-VCH GmbH. -
Inclined magnetic field and nanoparticle aggregation effects on thermal Marangoni convection in nanoliquid: A sensitivity analysis
The heat transfer rate of thermal Marangoni convection in ethylene glycol-based titanium nanoliquid is analyzed by using the Response Surface Methodology (RSM). Two different heat sources (i.e. the temperature-related heat source (THS) and the space-related exponential heat source (ESHS)) are included in the thermal analysis. Aggregation of nanoparticles and inclined magnetism are also considered. The modified Krieger-Dougherty model and the modified Maxwell-Bruggeman model are used to analyze the aggregation aspect of the nanoparticles. The resulting nonlinear system is treated numerically by using the finite difference method. The sensitivity of the heat transfer rate to the thermal radiation parameter, the ESHS parameter, and the THS parameter is examined by using the RSM model. The individual impact of the actual parameters on various flow fields is compared and visualized by graphs. The heat transfer rate is positively sensitive to thermal radiation and negatively sensitive to the parameters of the heat source. Besides, the ESHS aspect has a greater impact on the heat transfer rate than the THS aspect. The velocity flow field is decelerated significantly (5.31%near the interface) by the magnetic field inclination angle. 2020 The Physical Society of the Republic of China (Taiwan) -
Including category information as supplements in latent semantic analysis of Hindi documents
Latent semantic analysis (LSA) is a mathematical model that is used to capture the semantic structure of documents by using the correlations between the textual elements in them. LSA captures the semantic structure very well being independent of external sources of semantics. However, the model's performance increases when it is supplemented with extra information. The work presented in this paper is to modify the model to analyse word correlations in documents by considering the document category information as supplements in the process. This enhancement is called supplemented latent semantic analysis (SLSA). SLSA's performance is empirically evaluated in a document classification application by comparing the accuracies of classification against plain LSA for various term weighting schemes. An increment of 1.14%, 1.30% and 1.63% is observed in the classification accuracies when SLSA is compared with plain LSA for tf, idf and tfidf respectively in the initial term-bydocument matrix. Copyright 2017 Inderscience Enterprises Ltd.