Evaluating Methods for Bioinspired Concept Generation

Author(s):  
Michael W. Glier ◽  
Joanna Tsenn ◽  
Daniel A. McAdams ◽  
Julie S. Linsey
2018 ◽  
Vol 69 (4) ◽  
pp. 890-893
Author(s):  
Sorana Baciu ◽  
Cristian Berece ◽  
Adrian Florea ◽  
Andrada Voina Tonea ◽  
Ondine Lucaciu ◽  
...  

In this study were compared two investigation methods, a bi- and tri-dimensional techniques by examining the marginal fit pressed in (BioHPP) Inlays. The study pruved that the BioHPP is a high performance polymer which provides very good clinical results.


Author(s):  
Chenguang Li ◽  
Jiaqing Liang ◽  
Yanghua Xiao ◽  
Haiyun Jiang

2012 ◽  
Vol 46 (2) ◽  
pp. 167-169 ◽  
Author(s):  
Audrey Roustan ◽  
Jeanne Perrin ◽  
Anaïs Berthelot-Ricou ◽  
Erica Lopez ◽  
Alain Botta ◽  
...  

Cervical dislocation is a commonly used method of mouse euthanasia. Euthanasia by isoflurane inhalation is an alternative method which allows the sacrifice of several mice at the same time with an anaesthesia, in the aim to decrease pain and animal distress. The objective of our study was to assess the impact of these two methods of euthanasia on the quality of mouse oocytes. By administering gonadotropins, we induced a superovulation in CD1 female mice. Mice were randomly assigned to euthanasia with cervical dislocation and isoflurane inhalation. Oviducts were collected and excised to retrieve metaphase II oocytes. After microscopic examination, oocytes were classified into three groups: intact, fragmented/cleaved and atretic. Intact metaphase II oocytes were employed for biomedical research. A total of 1442 oocytes in the cervical dislocation group were compared with 1230 oocytes in the isoflurane group. In the cervical dislocation group, 93.1% of the oocytes were intact, versus 65.8% in the isoflurane group ( P ≤ 0.001). In light of these results, we conclude that cervical dislocation is the best method of mouse euthanasia for obtaining intact oocytes for biomedical research.


Author(s):  
K. Scott Marshall ◽  
Richard Crawford ◽  
Matthew Green ◽  
Daniel Jensen

Recent research has investigated methods based on design-by-analogy meant to enhance concept generation. This paper presents Analogy Seeded Mind-Maps, a new method to prompt generation of analogous solution principles drawn from multiple analogical domains. The method was evaluated in two separate design studies using senior engineering students. The method begins with identifying a primary functional design requirement such as “eject part.” We used this functional requirement “seed” to generate a WordTree of grammatically analogical words for each design team. We randomly selected a set of words from each WordTree list with varying lexical “distances” from the seed word, and used them to populate the first-level nodes of a mind-map, with the functional requirement seed as the central hub. Design team members first used the word list to individually generate solutions and then performed team concept generation using the analogically seeded mind-map. Quantity and uniqueness of the resulting verbal solution principles were evaluated. The solution principles were further analyzed to determine if the lexical “distance” from the seed word had an effect on the evaluated design metrics. The results of this study show Analogy Seeded Mind-Maps to be useful tool in generating analogous solutions for engineering design problems.


2012 ◽  
Vol 50 ◽  
pp. 4-19 ◽  
Author(s):  
Steven R. Evett ◽  
William P. Kustas ◽  
Prasanna H. Gowda ◽  
Martha C. Anderson ◽  
John H. Prueger ◽  
...  

2006 ◽  
Vol 37 (15-20) ◽  
pp. 2471-2479
Author(s):  
Brigitta Tóth ◽  
Tibor Tóth ◽  
Tamás Hermann ◽  
Gergely Tóth

Author(s):  
Cari R. Bryant ◽  
Matt Bohm ◽  
Robert B. Stone ◽  
Daniel A. McAdams

This paper builds on previous concept generation techniques explored at the University of Missouri - Rolla and presents an interactive concept generation tool aimed specifically at the early concept generation phase of the design process. Research into automated concept generation design theories led to the creation of two distinct design tools: an automated morphological search that presents a designer with a static matrix of solutions that solve the desired input functionality and a computational concept generation algorithm that presents a designer with a static list of compatible component chains that solve the desired input functionality. The merger of both the automated morphological matrix and concept generation algorithm yields an interactive concept generator that allows the user to select specific solution components while receiving instantaneous feedback on component compatibility. The research presented evaluates the conceptual results from the hybrid morphological matrix approach and compares interactively constructed solutions to those returned by the non-interactive automated morphological matrix generator using a dog food sample packet counter as a case study.


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