127 research outputs found

    High-resolution spatial and temporal evolution of two-dimensional flow structure at a small stream confluence

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    Confluences are recognized as locations within rivers where interaction between incoming flows produces complex hydrodynamic conditions characterized by distinct spatial patterns of mean or turbulent flow. Despite recognition of this hydrodynamic complexity, few studies have mapped in detail spatial patterns of flow at confluences and variation in these patterns over time. Recent developments in Large-Scale Particle Image Velocimetry (LSPIV) have created novel opportunities to explore the spatial and temporal dynamics of flow patterns at confluences. This study uses LSPIV to map two-dimensional flow structure at the water surface and to examine variation in this structure over time. Results show that flow within the confluence is characterized by a large region of flow stagnation develops at the junction apex, a region of low velocities at the downstream junction corner, and a region of merging of the two flow along a mixing interface within the center of the confluence. Interaction between the incoming flows varies over time in the form of episodic pulsing in which one of the two tributaries flows first decelerates and then subsequently accelerates into the confluence. The cause of this pulsing remains uncertain, but it seems to reflect changes in the water-surface pressure-gradient field as the two flows compete for space within the confluence. No large-scale vortices are evident within the mixing interface for the particular flow conditions documented in this study, but such vortices do occur along the margins of the stagnation zone where shearing action between fast-moving and slow-moving fluid is strong. The results of the study provide insight into the time-dependent dynamics of the spatial structure of flow at stream confluences.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-12-01The student, Sadia Sabrina, accepted the attached license on 2020-12-08 at 11:35.The student, Sadia Sabrina, submitted this Thesis for approval on 2020-12-08 at 11:38.This Thesis was approved for publication on 2020-12-09 at 13:43.DSpace SAF Submission Ingestion Package generated from Vireo submission #16083 on 2021-03-04 at 16:33:50Made available in DSpace on 2021-03-05T21:47:34Z (GMT). No. of bitstreams: 2 SABRINA-THESIS-2020.pdf: 2560064 bytes, checksum: 8b7874a136b0f5835b6756a6a36e565a (MD5) LICENSE.txt: 4210 bytes, checksum: 558486217f10c95be558e2f2ccf65aca (MD5) Previous issue date: 2020-12-09Embargo set by: Seth Robbins for item 117341 Lift date: 2023-03-05T21:47:41Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemAuthor requested closed access (OA after 2yrs) in Vireo ETD systemLimite

    RETRACTED ARTICLE: In vitro and in vivo biocompatibility study of polyacrylate TiO2@Ag coated nanoparticles for the radiation dose enhancement

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    We, the Editors and Publisher of the journal Artificial Cells, Nanomedicine, and Biotechnology, have retracted the following article:Ateeque Ur Rehman, Muhammad Hassan, Sadia Bano, Khizir Farooq, Aun Raza & Muhammad Naeem Anjum (2021) In vitro and in vivo biocompatibility study of polyacrylate TiO2@Ag coated nanoparticles for the radiation dose enhancement. Artificial Cells, Nanomedicine, and Biotechnology, 49(1), 185–193, DOI: 10.1080/21691401.2021.1889574Since publication, concerns were raised about the methods and some images in this article. Specifically, some images in Figure 7 have been duplicated and rotated. When approached for an explanation, the authors were unable to provide a satisfactory explanation for this. The corresponding author has been informed of our decision to retract.We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”

    Antimicrobial Activity of Essential Oils and their Efficacy in Food Systems

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    A Hybrid Steffensen–Genetic Algorithm for Finding Multi-Roots of Nonlinear Equations and Applications to Biomedical Engineering

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    A new hybrid of a Steffensen-type method and genetic algorithm is developed for the efficient simultaneous computation of roots of nonlinear equations, particularly in all cases involving non-differentiable functions and multiple roots. Traditional numerical methods often fail to handle these complexities effectively, highlighting the need for a more robust solution. The proposed algorithm combines the global search strength of the genetic algorithm (GA) with the local refinement capabilities of a derivative-free optimal fourth-order Steffensen method. This integration enhances both exploration and exploitation capabilities, leading to improved convergence and computational accuracy. By uniting the GA’s global optimization with the local refinement of iterative solvers, the algorithm forms a higher-order framework capable of locating all roots concurrently. This study validates the performance of this hybrid strategy through diverse applications in biomedical engineering problems

    Behavioral Information Strategies and Financial Satisfaction: A Mediating Effect of Financial Opportunity

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    Purpose: The purpose of this research is to examine the information processing strategies' influence on the financial satisfaction of investors. This research also investigates the mediating influence of financial opportunities. Design/Methodology/Approach: The proposed model's relationship is examined using mixed methodology. Qualitative data is gathered by using in-depth interviews. While quantitative data is collected through questionnaires.  Findings: This study's results explain that financial opportunities significantly mediate the relationship. Further, information processing strategies have a significant influence on financial opportunities. This unique study contributed to the literature and developed a financial opportunity scale. Implications/Originality/Value: This study suggested that understanding and knowledge of financial opportunities would help to increase the financial decisions of investors. This research also highlights implications and limitations to investors and practitioners

    Enhanced Facial Expression Recognition via Deep Transfer Learning and Augmentation

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    Facial Expression is one of the key parts of non-verbal communication. Facial Expression Recognition is the major application of surveillance, automation, health care, and education. Deep learning is important in different fields of computer vision due to its ability to process and analyze large volumes of data, extract features, and correctly classification of images. This research empirically evaluates the performance of a pre-trained model on augmented datasets for facial expression recognition. The study includes preprocessing techniques, data augmentation, and transfer learning using the ResNet50 model. The experiments are conducted on a dataset containing images of three facial expressions: happy, sad, and surprised. The results indicate significant improvements in accuracy as the dataset size and preprocessing techniques increase. In particular, Cubic Support Vector Machine (SVM) and Linear Cubic SVM consistently outperform other classifiers, achieving an impressive accuracy of 99.7% on the augmented dataset. The research demonstrates the potential of data augmentation and preprocessing in enhancing facial expression recognition systems

    Dramatic Semiotics in Azzeddine Mihoubi’s The Rose and the Swordfish

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    The drama program in the theatrical text is based on a set of dramatic transformations according to a specific timeframe and place where the author tries to embody that program through an imaginary space accompanied by a parallel text explaining the situations in which the dramatic actions take place. Also in that program, the author describes the situations of the active selves based on moving the dramatic act and transforming it from one path to another in a process called, in the semiotic term, “dramatic Transformations.” On this basis, the dramatic self is the focus of the theatrical text, and the dramatic act is originally based on the presence of the dramatic self, by defining its relationship to the subject of value embodied in the theatrical text, whether the active self is relevant or separate from it. The active self becomes dominant in the dramatic path in the play, whether negative or positive. Accordingly, our study in this work was directed at following up the selves of the dramatic action (act) in the play El-warda wa Essiaf (The Rose and the Swordsman) by Azzeddine Mihoubi. We follow the semiotic approach, especially in relation to the semiotics of the act , to reveal the drama programs in the theatrical text and its various paths that appear at the superficial level in the form of conflicts represented in the the active selves. In doing so, we will determine the types of selves, depending on the roles assigned to them by the author, whether it is related to the way in which these selves see the dramatic acts, or through the actions they (the selves) do, which influence the dramatic trajectory

    Inter-linkages between liquidity and stock returns: An empirical investigation through panel cointegration

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    This study examines long term and short term inter-linkage between liquidity dimensions and equity returns in oil and gas sector of an emerging stock market for the time period 2009-2015.Conventional liquidity ratio and Amihud ratio are used to capture Price impact. Roll estimator is employed to quantify the effective spread and transaction cost aspect of liquidity. The depth of market is measured through volume and turnover rate. Pedroni cointegration, Granger causality and vector error correction model have been applied in panel data setting. The Pedroni cointegration analysis provides evidence about the existence of long term interaction between liquidity indicators and the equity returns. The VECM reports that liquidity influences equity returns in short run and speed of adjustment is high. Moreover, bi directional casualty is observed between liquidity and equity returns. The results suggest that local market liquidity is an important driver of expected returns. The study further implies that liquidity is vital for asset pricing. Average liquidity is priced and liquidity also predicts future returns. Moreover liquidity shocks are positively correlated with return shocks. Therefore, investors must be vigilant about liquidity trends while making investment decisions

    Analysis of Benzimidazole and Benzothiazole Fungicide Residues by Spectrophotometry

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
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