Kirjojen hintavertailu. Mukana 12 390 323 kirjaa ja 12 kauppaa.
Kirja.info

Kirjahaku

Etsi kirjoja tekijän nimen, kirjan nimen tai ISBN:n perusteella.

296 tulosta hakusanalla Midhat Ajanovic

Discontinuities in the Electromagnetic Field

Discontinuities in the Electromagnetic Field

M. Mithat Idemen

John Wiley Sons Inc
2011
sidottu
A multifaceted approach to understanding, calculating, and managing electromagnetic discontinuities Presenting new, innovative approaches alongside basic results, this text helps readers better understand, calculate, and manage the discontinuities that occur within the electromagnetic field. Among the electromagnetic discontinuities explored in this volume are: Bounded jump discontinuities at the interfaces between two media or on the material sheets that model very thin layers Unbounded values at the edges of wedge-type structures Unbounded values at the tips of conical structures The text examines all the key issues related to the bodies that carry the interfaces, edges, or tips, whether these bodies are at rest or in motion with respect to an observer. In addition to its clear explanations, the text offers plenty of step-by-step examples to clarify complex theory and calculations. Moreover, readers are encouraged to fine-tune their skills and knowledge by solving the text's problem sets. Three fundamental, classical theories serve as the foundation for this text: distributions, confluence, and the special theory of relativity. The text sets forth the fundamentals of all three of these theories for readers who are not fully familiar with them. Moreover, the author demonstrates how to solve electromagnetic discontinuity problems by seamlessly combining all three theories into a single approach. With this text as their guide, readers can apply a unique philosophy and approach to the investigation and development of structures that have the potential to enhance the capabilities of electronics, antennas, microwaves, acoustics, medicine, and many more application areas.
Vertaile hintoja
Astronomy and Big Data

Astronomy and Big Data

Kieran Jay Edwards; Mohamed Medhat Gaber

Springer International Publishing AG
2014
sidottu
With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing has proved extremely beneficial. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority of all classified galaxies are labelled as “Uncertain”.This book reports on how to use data mining, more specifically clustering, to identify galaxies that the public has shown some degree of uncertainty for as to whether they belong to one morphology type or another. The book shows the importance of transitions between different data mining techniques in an insightful workflow. It demonstrates that Clustering enables to identify discriminating features in the analysed data sets, adopting a novel feature selection algorithms called Incremental Feature Selection (IFS). The book shows the use of state-of-the-art classification techniques, Random Forests and Support Vector Machines to validate the acquired results. It is concluded that a vast majority of these galaxies are, in fact, of spiral morphology with a small subset potentially consisting of stars, elliptical galaxies or galaxies of other morphological variants.
Vertaile hintoja
Astronomy and Big Data

Astronomy and Big Data

Kieran Jay Edwards; Mohamed Medhat Gaber

Springer International Publishing AG
2016
nidottu
With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing has proved extremely beneficial. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority of all classified galaxies are labelled as “Uncertain”.This book reports on how to use data mining, more specifically clustering, to identify galaxies that the public has shown some degree of uncertainty for as to whether they belong to one morphology type or another. The book shows the importance of transitions between different data mining techniques in an insightful workflow. It demonstrates that Clustering enables to identify discriminating features in the analysed data sets, adopting a novel feature selection algorithms called Incremental Feature Selection (IFS). The book shows the use of state-of-the-art classification techniques, Random Forests and Support Vector Machines to validate the acquired results. It is concluded that a vast majority of these galaxies are, in fact, of spiral morphology with a small subset potentially consisting of stars, elliptical galaxies or galaxies of other morphological variants.
Vertaile hintoja
Insulin signaling pathways in chronic diseases

Insulin signaling pathways in chronic diseases

Mona El-Banna; Dalia Medhat

SCHOLARS' PRESS
2022
pokkari
Insulin is an important physiological anabolic agent known, for enhancing the synthesis and storage of lipids, carbohydrates, and protein, and preventing their breakdown and liberation into circulation. It plays an important role in cell nutrient uptake, usage, and storage. Insulin resistance is the main characteristic of type 2 diabetes; it is a condition where cells fail to adequately respond to insulin. It is caused by different alterations, including a decrease in the number of insulin receptors and their catalytic activity, increased Ser/Thr phosphorylation, an increase in Tyr phosphatase activity, mainly PTP-1B, which causes receptor and IRS dephosphorylation, a decrease in PI3K and Akt kinases activity, and defects in GLUT-4 expression and function.
Vertaile hintoja
1...1112131415