scholarly journals Relationship between Balance of Upper and Lower Lip-Closing Forces during Pursing-like Lip-Closing and Lateral Craniofacial Morphology

Author(s):  
Madoka Murakami ◽  
◽  
Masanori Kanazawa ◽  
Rurika Mizuno ◽  
Kazuhiro Yamada ◽  
...  
1970 ◽  
Vol 101 (2) ◽  
pp. 241-244 ◽  
Author(s):  
L. M. Solomon
Keyword(s):  

2014 ◽  
Vol 30 (S 01) ◽  
Author(s):  
A. Gundeslioglu ◽  
Dem Özen ◽  
Lorenc Jasharllari ◽  
Nebil Selimolu ◽  
Figen Güney ◽  
...  

Author(s):  
So-Hee Choi ◽  
Do Hyun Kim ◽  
Bo-Young Kim

2009 ◽  
pp. 091202121239062
Author(s):  
Gisele Dalben ◽  
Antonio Richieri-Costa ◽  
Luís Antônio Taveira

2009 ◽  
pp. 091202121239062
Author(s):  
Taija Pihlajaniemi ◽  
P. Pirttiniemi ◽  
Johanna Uusimaa ◽  
Kari Majamaa

1996 ◽  
Vol 33 (2) ◽  
pp. 96-103 ◽  
Author(s):  
Tuula Laatikainen ◽  
Reijo Ranta ◽  
Rolf Nordström

1997 ◽  
Vol 34 (4) ◽  
pp. 325-330 ◽  
Author(s):  
Kazuaki Nonaka ◽  
Yasunori Sasaki ◽  
Yoshihisa Watanabe ◽  
Ken-ichi Yanagita ◽  
Minoru Nakata

Objective: This study examined the factors related to the morphogenesis of the craniofacial complex of the CL/Fr mouse fetus affected with CLP based on the findings of a lateral cephalogram. Design: Embryo transfer experiments were performed to determine the effect of the fetus weight, dam strain, dam weight, and litter size on the intra-uterine craniofacial morphogenesis of CL/Fr mouse fetuses. On the 18th gestational day, each pregnant dam that had received CL/Fr mouse embryos was laparotomized to remove the transferred fetuses that had developed in the uteri of the cleft lip and palate (CLP)-susceptible CL/Fr strain dam and the CLP-resistant C57BL strain dam. A cephalometric observation of the craniofacial morphology of each fetus was subsequently performed. Results: Based on a multiple regression analysis, the standardized partial regression coefficients of the affected fetus weight, the dam weight, and the litter size on the maxillary size of the affected CL/Fr fetus were 0.71 (p < .01), 0.03, and −0.07. According to a least-squares analysis of variance, the dam strain effect in addition to the effect of the affected fetus weight on the maxillary size and the cranial size of the affected fetuses was significant (p < .01 for cranial size, p < .05 for maxillary size) and close to a significant level (p = .09) for the mandibular size of the affected fetuses. The adjusted maxillary size and cranial size after statistically eliminating the effects of the affected fetus weight, dam weight, and lifter size on each original craniofacial size of the affected fetuses that had developed in the CL/Er dam strain were also significantly smaller than those of the affected fetuses that had developed in the C57BL dam strain. Conclusions: The present results indicate that the craniofacial growth of the CL/Fr mouse fetus affected with CLP increased in proportion to the fetus weight. The dam strain effect, in addition to the effect of the affected fetus weight, could thus not be ignored when the etiology of the spontaneous CLP was examined, while the uterine environment, provided by the CL/Fr strain dam, retarded the intra-uterine craniofacial growth of the affected fetuses. It was therefore concluded that the dam strain effect, as well as the effect of the affected fetus weight, both play an important role on the craniofacial morphogenesis of the CL/Fr strain of the affected fetuses that developed in both strain dams.


2019 ◽  
Vol 70 (3) ◽  
pp. 184-192
Author(s):  
Toan Dao Thanh ◽  
Vo Thien Linh

In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and “frontal face detectors” in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of “Normal”, “Close eyes”, “Yawn” or “Distraction”


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