scholarly journals Crystal Plasticity

Crystals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 44
Author(s):  
Wojciech Polkowski

The Special Issue on “Crystal Plasticity” is a collection of 25 original articles (including one review paper) dedicated to theoretical and experimental research works providing new insights and practical findings in the field of crystal plasticity-related topics [...]

2019 ◽  
Vol 11 (24) ◽  
pp. 2913
Author(s):  
Denise Dettmering ◽  
Marcello Passaro ◽  
Alexander Braun

This special issue compiles studies from different disciplines presenting recent advances in the field of radar and laser altimetry including new and future altimetry missions and their applications. It comprises eight research papers as well as one review paper, and covers method development as well as applications, which target diverse Earth systems (oceans, coastal regions, sea-ice, inland) as well as the Moon.


2009 ◽  
Vol 05 (01) ◽  
pp. 1-6
Author(s):  
ROBERT KOZMA ◽  
H. JOHN CAULFIELD

In spite of the explosive growth of experimental research in basic neurobiology and neurophysiology of brain components in the past decade, understanding the integrated functioning of the brain remains a significant scientific challenge. Essential for understanding human brain function is the detailed knowledge concerning the spatio-temporal dynamics of neuronal populations and their intricate interactions during cognitive functions. The aim of the present issue is to examine brain dynamics and cognitive functions from a multidisciplinary perspective and to introduce the most recent results in this research frontier. Topics relevant to the special issue include: (i) Modeling brain dynamics at the mesoscopic and macroscopic scales, including dynamical systems with distributed parameters; (ii) Applying tools of discrete mathematics, statistical and quantum physics, network science to describe the dynamics of brains; (iii) Experimental research on brain dynamics from various aspects, including fundamental neurobiology, evoked potentials, functional brain imaging, and cognitive functions; (iv) Clinical neuroscience issues for improved diagnosis of dynamic brain diseases and their potential therapies. This special issue is dedicated to Professor Walter J. Freeman on the occasion of his 80th birthday. Dr. Freeman produced breakthrough contributions to research on brain dynamics over the past five decades. The present issue covers all aspects of neurodynamics, starting from neural populations of high-level cognition and consciousness, as well as philosophical aspects and practical implementations on digital computers and hardware designs.


Atmosphere ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 144 ◽  
Author(s):  
Riccardo Buccolieri ◽  
Jian Hang

The Atmosphere Special Issue “Recent Advances in Urban Ventilation Assessment and FlowModelling” collects twenty-one original papers and one review paper published in 2017[...]


Author(s):  
Birgit Pepin ◽  
Rolf Biehler ◽  
Ghislaine Gueudet

AbstractThe aim of the special issue is to bring together important current international research on innovative teaching and learning practices in mathematics in engineering education, and to develop deeper understandings of the characteristics of current teaching and learning practices that can inform the design and implementation of future innovative practice. The focus of this review paper is to provide a state-of-the-art overview of this emerging field at the cross-roads between mathematics and engineering education, in addition to introducing the papers of this special issue. To guide this paper, we posed three review questions: (1) How can current (teaching/learning/study) practices of mathematics in engineering education be characterized with a view towards innovation?; (2) What are the ‘resources’ (cognitive, material, digital, social) used, and what are those that appear also well suited for innovative courses?; (3) What are promising innovative practices in mathematics in engineering education, and what are the implications for curriculum reform? Looking back across the studies we summarized in the review, we conclude that they are lagging behind the more fundamental changes that are happening in engineering education, whilst addressing selected aspects of innovative changes within the current system of engineering education. At the same time, the nine papers of this special issue contribute new perspectives for innovative practices in mathematics in engineering education, for a better understanding of current practices and for future research.


1996 ◽  
Vol 8 (S1) ◽  
pp. 113-114
Author(s):  
Leonard Berg

This article addresses some of the scientific, conceptual, and technical impediments to the timely progress of research on the topics discussed in the workshop. This is a young field of scientific exploration. Most of what has been accomplished thus far is a series of efforts at descriptive research; little truly experimental research has been published. There is, however, abundant information on the methodologic difficulties and other dilemmas encountered in these research efforts in a recent special issue of Alzheimer's Disease and Associated Disorders (Holmes et al., 1994).


2020 ◽  
Vol 12 (1) ◽  
pp. 1-14 ◽  
Author(s):  
MARK DINGEMANSE ◽  
MARCUS PERLMAN ◽  
PAMELA PERNISS

abstractWhile speculations on form–meaning resemblances in language go back millennia, the experimental study of iconicity is only about a century old. Here we take stock of experimental work on iconicity and present a double special issue with a diverse set of new contributions. We contextualise the work by introducing a typology of approaches to iconicity in language. Some approaches construe iconicity as a discrete property that is either present or absent; others treat it as involving semiotic relationships that come in kinds; and yet others see it as a gradient substance that comes in degrees. We show the benefits and limitations that come with each of these construals and stress the importance of developing accounts that can fluently switch between them. With operationalisations of iconicity that are well defined yet flexible enough to deal with differences in tasks, modalities, and levels of analysis, experimental research on iconicity is well equipped to contribute to a comprehensive science of language.


2019 ◽  
Author(s):  
Mark Dingemanse ◽  
Marcus Perlman ◽  
Pamela Perniss

While speculations on form-meaning resemblances in language go back millennia, the experimental study of iconicity is only about a century old. Here we take stock of experimental work on iconicity and present a double special issue with a diverse set of new contributions. We contextualise the work by introducing a typology of approaches to iconicity in language. Some approaches construe iconicity as a discrete property that is either present or absent; others treat it as involving semiotic relationships that come in kinds; and yet others see it as a gradient substance that comes in degrees. We show the benefits and limitations that come with each of these construals and stress the importance of developing accounts that can fluently switch between them. With operationalisations of iconicity that are well-defined yet flexible enough to deal with differences in tasks, modalities, and levels of analysis, experimental research on iconicity is well-equipped to contribute to a comprehensive science of language.


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