Hasil untuk "Modern"

C. Stam

L. Beineke, Robin J. Wilson

P. Jepsen, D. Cooke, M. Koch

Matti Valovirta

R. Fielding, R. Taylor

T. Cresswell

David Held

L. Binford

Mitchell Dean

F. Lyard, F. Lefèvre, T. Letellier et al.

Yihan Shao, László Molnár, Yousun Jung et al.

Y. Taur, T. Ning

A thoroughly updated third edition of an classic and widely adopted text, perfect for practical transistor design and in the classroom. Covering a variety of recent developments, the internationally renowned authors discuss in detail the basic properties and designs of modern VLSI devices, as well as factors affecting performance. Containing around 25% new material, coverage has been expanded to include high-k gate dielectrics, metal gate technology, strained silicon mobility, non-GCA (Gradual Channel Approximation) modelling of MOSFETs, short-channel FinFETS, and symmetric lateral bipolar transistors on SOI. Chapters have been reorganized to integrate the appendices into the main text to enable a smoother learning experience, and numerous additional end-of-chapter homework exercises (+30%) are included to engage students with real-world problems and test their understanding. A perfect text for senior undergraduate and graduate students taking advanced semiconductor devices courses, and for practicing silicon device professionals in the semiconductor industry.

C. Reeves

H. Varian

T. Gleeson, K. Befus, S. Jasechko et al.

S. Thalberg

I. Hershkovitz, G. Weber, R. Quam et al.

Martin Benning, M. Burger

Regularization methods are a key tool in the solution of inverse problems. They are used to introduce prior knowledge and allow a robust approximation of ill-posed (pseudo-) inverses. In the last two decades interest has shifted from linear to nonlinear regularization methods, even for linear inverse problems. The aim of this paper is to provide a reasonably comprehensive overview of this shift towards modern nonlinear regularization methods, including their analysis, applications and issues for future research. In particular we will discuss variational methods and techniques derived from them, since they have attracted much recent interest and link to other fields, such as image processing and compressed sensing. We further point to developments related to statistical inverse problems, multiscale decompositions and learning theory.

R. Schiebel, C. Hemleben

Simon Neubauer, J. Hublin, P. Gunz

The evolutionary process leading to human brain globularity was gradual and paralleled the emergence of behavioral modernity. Modern humans have large and globular brains that distinguish them from their extinct Homo relatives. The characteristic globularity develops during a prenatal and early postnatal period of rapid brain growth critical for neural wiring and cognitive development. However, it remains unknown when and how brain globularity evolved and how it relates to evolutionary brain size increase. On the basis of computed tomographic scans and geometric morphometric analyses, we analyzed endocranial casts of Homo sapiens fossils (N = 20) from different time periods. Our data show that, 300,000 years ago, brain size in early H. sapiens already fell within the range of present-day humans. Brain shape, however, evolved gradually within the H. sapiens lineage, reaching present-day human variation between about 100,000 and 35,000 years ago. This process started only after other key features of craniofacial morphology appeared modern and paralleled the emergence of behavioral modernity as seen from the archeological record. Our findings are consistent with important genetic changes affecting early brain development within the H. sapiens lineage since the origin of the species and before the transition to the Later Stone Age and the Upper Paleolithic that mark full behavioral modernity.