This research is centered on a comprehensive investigation into the impact of turbulence on the movement and dispersion of materials within a three-dimensional(3D)bedform,specifically when there is a continuous presenc...
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This research is centered on a comprehensive investigation into the impact of turbulence on the movement and dispersion of materials within a three-dimensional(3D)bedform,specifically when there is a continuous presence of rigid vegetation submerged in thefl*** achieve our research objectives,we conducted extensive velocity measurements within a channel featuring this submerged *** measurements were carried out using an Acoustic Doppler Velocimeter(ADV).Additionally,our study delved into the intricate structures and turbulent characteristics of theflow,considering the coexistence of submerged vegetation and a 3D gravel *** pool featured entrance and exit slopes measuring 3 and 2.5°,*** experimental setup took place in a straightflume,measuring 14 m in length,0.9 m in width,and 0.6 m in ***flume was equipped with transparent side walls to facilitate ***,our investigation extended to the spatial variations in velocity and turbulence *** analyzed various parameters including turbulence kinetic energy,integral turbulence lengths,dispersion coefficients,and advective *** results revealed that integral length scales offer key insights into turbulent eddy *** the presence of vegetation and a 3D bedform,turbulent eddies undergo notable changes,flattening in the longitudinal direction and expanding in the transverse and vertical ***,longitudinal advection is notably higher compared toflows without vegetation in a uniformflow or bare channel,especially for z/H>*** indicates that the presence of vegetation and a 3D bedform leads to an increase in turbulent kinetic energy(k values)that surpasses the reduction in the time-averaged velocity component(“U”)in the U×k term,thereby enhancing longitudinal advection.
The proliferation of Internet of Things (IoT) devices has introduced significant security challenges due to the increased attack surface and the inherent vulnerabilities of interconnected systems. This paper proposes ...
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This paper aims to determine the better technique for kidney stone detection between K-Nearest Neighbor (KNN) and Convolutional Neural Networks (CNNs). As well known, the presence of kidney stones is an important topi...
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Deep learning (DL) has transformed the field of medical image processing, enabling unprecedented accuracy and efficiency in various applications. It has been widely utilized for medical image analysis of different ana...
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Replacing fossil fuel-based energy with carbon-free sources is essential for achieving climate neutrality in Europe, aligned with the European Green Deal. The southern regions of Turkey, especially Serik, Antalya, are...
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Cognitive radio (CR) has some specific unique characteristics like flexibility, interoperability and adaptability. Optimal technological candidate is particularly contributed which reduces the challenges towards spect...
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Simplicial convolutional filters can process signals defined over levels of a simplicial complex such as nodes, edges, triangles, and so on with applications in e.g., flow prediction in transportation or financial net...
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In post pandemic era where companies already adopted digital agendas in their everyday business, conservative businesses as insurance companies must intensify activities in creating new values and use of the potential...
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Cybersecurity is a field that unifies concepts from various fundamental areas: mathematics, physics, computerscience, electronics, sociology, and management. This field is challenging for government authorities, acad...
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Background:Morphogenesis is a complex process in a developing animal at the organ,cellular and molecular *** this investigation,allometry at the cellular level was ***:Geometric information,including the time-lapse Ca...
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Background:Morphogenesis is a complex process in a developing animal at the organ,cellular and molecular *** this investigation,allometry at the cellular level was ***:Geometric information,including the time-lapse Cartesian coordinates of each cell's center,was used for calculating the allometric coefficients.A zero-centroaxial skew-symmetrical matrix(CSSM),was generated and used for constructing another square matrix(basic square matrix:BSM),then the determinant of BSM was calculated(d).The logarithms of absolute d(Lad)of cell group at different stages of development were plotted for all of the cells in a range of development stages;the slope of the regression line was estimated then used as the allometric ***,the lineage growth rate(LGR)was also calculated by plotting the Lad against the logarithm of the *** complexity index at each stage was *** method was tested on a developing Caenorhabditis elegans ***:We explored two out of the four first generated blastomeres in *** *** ABp and EMS lineages show that the allometric coefficient of ABp was higher than that of EMS,which was consistent with the complexityindexas well ***:The conclusion of this study is that the complexity of the differentiating cells in a developing embryo can be evaluated by allometric scaling based on the data derived from the Cartesian coordinates of the cells at different stages of development.
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