Analysis of Innovative Projects of Early Development Stages Using Neural Networks

Author(s):  
Pavel V. Tereliansky ◽  
Ekaterina I. Konchenkova
2020 ◽  
Vol 43 (2) ◽  
pp. 424-437
Author(s):  
Cristina Andolina ◽  
Piero Franzoi ◽  
Andrew Lloyd Jackson ◽  
Antonio Mazzola ◽  
Salvatrice Vizzini

2020 ◽  
Vol 25 (4) ◽  
Author(s):  
Arthur Boni ◽  
Dennis M. Gross

This issue provides a perspective on emerging, transformative technologies that promise to create innovations that are intended to provide solutions for significant problems in the biopharma and broader healthcare market.  Many of these technologies have been evolving over the years, but remain in their early development stages technologically. As with most transformative innovations, they come with a host of lengthy and expensive challenges associated with development and validation. And, implementation of transformative business models that are at least as challenging as commercializing the technologies themselves.


Author(s):  
Colin W. Evers ◽  
Gabriele Lakomski

The influence of cognitive science on educational administration has been patchy. It has varied over four main accounts of cognition, which are, in historical order: behaviorism, functionalism, artificial neural networks, and cognitive neuroscience. These developments, at least as they may have concerned educational administration, go from the late 1940s up to the present day. There also has been a corresponding sequence of developments in educational administration, mainly motivated by accounts of the nature of science. The goal of producing a science of educational administration was dominated by the construal of science as a positivist enterprise. For much of the field’s early development, from the 1950s to the early 1970s, varieties of behaviorism were central, with brief excursions into functionalism. When large-scale alternatives to behaviorism finally began to emerge, they were mostly alternatives to science, and thus failed to comport with much of cognitive science. However, the emergence of postpositivist accounts of science has created the possibility for studies in administrator cognition to be informed by developments in neuroscience. These developments initially included the study of artificial neural networks and more recently have involved biologically realistic mathematical models that reflect work in cognitive neuroscience.


2019 ◽  
Author(s):  
Eleonora Barilli ◽  
María J González‐Bernal ◽  
Alessio Cimmino ◽  
Francisco J Agudo‐Jurado ◽  
Marco Masi ◽  
...  

1994 ◽  
Vol 29 (10-11) ◽  
pp. 271-279 ◽  
Author(s):  
W. M. Zahid ◽  
J. J. Ganczarczyk

Fractal analysis showed two different populations of pores in RBC biofilms. The porosity of mature biofilms was largely influenced by the presence of large rugged pores, but that of biofilms of early-development stages were significantly controlled by the large number of very fine pores.


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