20312 Tissue adhesion technology with low level energy integration

2009 ◽  
Vol 2009.15 (0) ◽  
pp. 207-208
Author(s):  
Takahiro KAWANO ◽  
Toru MASUZAWA ◽  
Ayako KATOH ◽  
Kazuhide OZEKI ◽  
Akio KISHIDA ◽  
...  
Keyword(s):  
Level Energy ◽  
Energy Integration ◽  
Tissue Adhesion ◽  
Low Level

Development of tissue adhesion method using integrated low-level energies

2010 ◽  
Vol 32 (4) ◽  
pp. 304-311 ◽  
Author(s):  
Ayako Katoh ◽  
Toru Masuzawa ◽  
Kazuhide Ozeki ◽  
Akio Kishida ◽  
Tsuyoshi Kimura ◽  
...  
Keyword(s):  
Tissue Adhesion ◽  
Low Level

Multi-level energy integration between units, plants and sites for natural gas industrial parks

2018 ◽  
Vol 88 ◽  
pp. 1-15 ◽  
Author(s):  
Bing J. Zhang ◽  
Qiao Q. Tang ◽  
Yue Zhao ◽  
Yu Q. Chen ◽  
Qing L. Chen ◽  
...  
Keyword(s):  
Natural Gas ◽  
Level Energy ◽  
Energy Integration ◽  
Industrial Parks ◽  
Multi Level

Effects of low-level energy lasers on the healing of full-thickness skin defects

1983 ◽  
Vol 2 (3) ◽  
pp. 267-274 ◽  
Author(s):  
John S. Surinchak ◽  
Maria L. Alago ◽  
Ronald F. Bellamy ◽  
Bruce E. Stuck ◽  
Michael Belkin
Keyword(s):  
Level Energy ◽  
Full Thickness ◽  
Low Level ◽  
Skin Defects ◽  
Full Thickness Skin ◽  
Thickness Skin

A NEURAL NET WITH SELF-INHIBITING UNITS FOR THE N-QUEENS PROBLEM

1992 ◽  
Vol 03 (03) ◽  
pp. 249-252 ◽  
Author(s):  
ORON SHAGRIR
Keyword(s):  
Polynomial Time ◽  
Global Minimum ◽  
Theoretical Explanation ◽  
The Self ◽  
Experimental Results ◽  
Level Energy ◽  
Neural Net ◽  
Local Minima ◽  
Low Level

Suggested here is a neural net algorithm for the n-queens problem. The net is basically a Hopfield net but with one major difference: every unit is allowed to inhibit itself. This distinctive characteristic enables the net to escape efficiently from all local minima. The net’s dynamics then can be described as a travel in paths of low-level energy spaces until it finds a solution (global minimum). The paper explains why standard Hopfield nets have failed to solve the queens problem and proofs that the self-inhibiting net (NQ2 algorithm in the text) never stabilizes in local minima and relaxes when it falls into a global minimum are provided. The experimental results supported by theoretical explanation indicate that the net never continually oscillates but relaxes into a solution in polynomial time. In addition, it appears that the net solves the queens problem regardless of the dimension n or the initialized values. The net uses only few parameters to fix the weights; all globally determined as a function of n.

The Effects of Low-Level Energy Density Nd:YAG Irradiation on Calculus Removal

1992 ◽  
Vol 10 (5) ◽  
pp. 343-347 ◽  
Author(s):  
CHARLES J. ARCORIA ◽  
BUNNY A. VITASEK-ARCORIA
Keyword(s):  
Energy Density ◽  
Level Energy ◽  
Low Level

Low-Level Energy Therapy Aids Wound Care

2006 ◽  
Vol 37 (9) ◽  
pp. 33
Author(s):  
KERRI WACHTER
Keyword(s):  
Wound Care ◽  
Level Energy ◽  
Low Level ◽  
Energy Therapy
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