56 research outputs found
Psychologický rozměr africké migrace v Evropě
No full textEuropean Politics and Society: Václav Havel Joint Master Programme CHARLES UNIVERSITY FACULTY OF SOCIAL SCIENCES Institute of International Studies Department of European Studies Master's Thesis 2023 Yinka Adenuga European Politics and Society: Václav Havel Joint Master Programme CHARLES UNIVERSITY FACULTY OF SOCIAL SCIENCES Institute of International Studies Department of European Studies DETERMINANT OF MIGRATION AMONG AFRICANS IN THE CZECH REPUBLIC Master's Thesis Author: Yinka Azeez Adenuga, 48318753 (CUNI) Supervisor: PhDr. Barbora Menclová, Ph.D. Year of the Defence: 2023 ABSTRACT This study deals with African migrants in the Czech Republic. Given the absence of general knowledge about African migrants in the Czech Republic, it contributes to the knowledge production of African migrants by examining the general features of their composition and structures in the Czech Republic. More primarily, this study deals with the motivation for migration among Africans who chose the Czech Republic as their destination. Understanding the determinants of African migration in the Czech Republic remains poor and insufficient, as there is little empirical study that has specifically examined the determinants of migration among Africans in the Czech Republic. As a result, this study is a novel study that aims to...Katedra evropských studiíDepartment of European StudiesFaculty of Social SciencesFakulta sociálních vě
Determinant of Migration Among Africans in the Czech Republic
No full textEuropean Politics and Society: Václav Havel Joint Master Programme CHARLES UNIVERSITY FACULTY OF SOCIAL SCIENCES Institute of International Studies Department of European Studies Master's Thesis 2023 Yinka Adenuga European Politics and Society: Václav Havel Joint Master Programme CHARLES UNIVERSITY FACULTY OF SOCIAL SCIENCES Institute of International Studies Department of European Studies DETERMINANT OF MIGRATION AMONG AFRICANS IN THE CZECH REPUBLIC Master's Thesis Author: Yinka Azeez Adenuga, 48318753 (CUNI) Supervisor: PhDr. Barbora Menclová, Ph.D. Year of the Defence: 2023 ABSTRACT This study deals with African migrants in the Czech Republic. Given the absence of general knowledge about African migrants in the Czech Republic, it contributes to the knowledge production of African migrants by examining the general features of their composition and structures in the Czech Republic. More primarily, this study deals with the motivation for migration among Africans who chose the Czech Republic as their destination. Understanding the determinants of African migration in the Czech Republic remains poor and insufficient, as there is little empirical study that has specifically examined the determinants of migration among Africans in the Czech Republic. As a result, this study is a novel study that aims to..
Author Correction: Dental anomaly detection using intraoral photos via deep learning (Scientific Reports, (2022), 12, 1, (11577), 10.1038/s41598-022-15788-1)
No full textIn the original version of this Article Ronilo Ragodos, Tong Wang and Brian J. Howe were omitted as equally contributing authors. Tong Wang was omitted as an additional corresponding author. Correspondence and requests for materials should also be addressed to [email protected]. In addition, the Author Contributions section in this Article was incorrect.Fil: Ragodos, Ronilo. University of Iowa; Estados UnidosFil: Wang, Tong. University of Iowa; Estados UnidosFil: Padilla, Carmencita. University of the Philippines; FilipinasFil: Hecht, Jacqueline T.. University of Texas; Estados UnidosFil: Poletta, Fernando Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones Médicas e Investigaciones Clínicas "Norberto Quirno". CEMIC-CONICET; ArgentinaFil: Orioli, Ieda Maria. Universidade Federal do Rio de Janeiro; BrasilFil: Buxó, Carmen J.. Universidad de Puerto Rico; Puerto RicoFil: Butali, Azeez. University of Iowa; Estados UnidosFil: Valencia Ramirez, Consuelo. Clinica Noel; ColombiaFil: Restrepo Muñeton, Claudia. Clinica Noel; ColombiaFil: Wehby, George. University of Iowa; Estados UnidosFil: Weinberg, Seth M.. University of Pittsburgh; Estados Unidos. University of Pittsburgh at Johnstown; Estados UnidosFil: Marazita, Mary L.. University of Pittsburgh at Johnstown; Estados Unidos. University of Pittsburgh; Estados UnidosFil: Moreno Uribe, Lina M.. University of Iowa; Estados UnidosFil: Howe, Brian J.. University of Iowa; Estados Unido
Synthesis and spectroscopic identification of a new series of 2-iminothia-zolidin-4-one compounds from aromatic heterocyclic primary amines
No full textIncreasing validation accuracy of a face mask detection by new deep learning model-based classification
No full textDuring COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieved lower computational complexity and number of layers, while being more reliable compared with other algorithms applied to recognize face masks. The findings reveal that the model's validation accuracy reaches 97.55% to 98.43% at different learning rates and different values of features vector in the dense layer, which represents a neural network layer that is connected deeply of the CNN proposed model training. Finally, the suggested model enhances recognition performance parameters such as precision, recall, and area under the curve (AUC)
Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm
No full textThis paper presents an improved technique on Ant Colony Optimization (ACO) algorithm. The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes. The simulations are made by using MATLAB software. The results show that by using Improved Ant Colony Optimization (IACO) the system will give better performance with less number of iterations as it compared with a previous modification on ACO. In addition, the probability of selecting the arc depends on the best ant performance and the evaporation rate
Lipase Of Oryza Sativa:Invivo Properties
No full textThis 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
Unsteady Heat and Mass Transfer MHD Flow of Nano-Fluids with Buoyancy and Variable Thermal Conductivity
No full textAbstract: Scientists and engineers have conducted a considerable lot of experimental and theoretical study to increase the productivity of industrial operations. Experimental evidence from engineers and scientists shows that heat transfer is necessary for excellent multi scale production naturally, continuous phase liquids are used to achieve thermal characteristics. However, due to the limitations of heat transmission, their significance is constrained. We present a mathematical model for unsteady heat and mass transfer in MHD flow of Nano-fluid with buoyancy and variable thermal conductivity. Using self-similar variables, the coupled non-linear system of equations governing the boundary-layer flows of Nano-fluids were converted into a two-point boundary value problem. The dsolve command with the numeric option on a real-valued two-point boundary value problem (BVP) is used to finds a numerical solution for our system of equations. Computation is performed in both hardware precision and arbitrary precision. The output of the computation is plotted using the ode plot generator odeplot and displayed using Maple plot display, and wall rate transfer is extracted. From the result, increase in thermal buoyancy, unsteadiness parameter and suction parameter are seen to increase velocity distributions. Temperature boundary layer is enhanced with increase in unsteadiness parameter, Brownian motion parameter and Eckert number while radiation, thermophoretic diffusion parameter, reactivity parameter, thermal conductivity and suction enhances species concentration.
Keywords: Unsteady, Heat and Mass Transfer, Nano-Fluids, Buoyance, Variable Thermal Conduction, thermo-gravitational, Navier Stokes, magneto hydrodynamics.
Title: Unsteady Heat and Mass Transfer MHD Flow of Nano-Fluids with Buoyancy and Variable Thermal Conductivity
Author: Akindele M. Okedoye, Azeez A. Waheed, Olufemi. A. Akinyemi
International Journal of Mathematics and Physical Sciences Research
ISSN 2348-5736 (Online)
Vol. 10, Issue 2, October 2022 - March 2023
Page No: 80-93
Research Publish Journals
Website: www.researchpublish.com
Published Date: 23-February-2023
DOI: https://doi.org/10.5281/zenodo.7669943
Paper Download Link (Source)
https://www.researchpublish.com/papers/unsteady-heat-and-mass-transfer-mhd-flow-of-nano-fluids-with-buoyancy-and-variable-thermal-conductivityInternational Journal of Mathematics and Physical Sciences Research, ISSN 2348-5736 (Online), Research Publish Journals, Website: www.researchpublish.co
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