Recognizing osteoporotic vertebral deformity on frontal view radiograph: a cohort analysis and a pictorial review

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Yì Xiáng J. Wáng ◽  
Mei-Mei Du ◽  
Nazmi Che-Nordin ◽  
Pei-Pei Ye ◽  
Shi-Wen Qiu ◽  
...  
Author(s):  
Melen McBride

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.


Author(s):  
David Weibel ◽  
Daniel Stricker ◽  
Bartholomäus Wissmath ◽  
Fred W. Mast

Like in the real world, the first impression a person leaves in a computer-mediated environment depends on his or her online appearance. The present study manipulates an avatar’s pupil size, eyeblink frequency, and the viewing angle to investigate whether nonverbal visual characteristics are responsible for the impression made. We assessed how participants (N = 56) evaluate these avatars in terms of different attributes. The findings show that avatars with large pupils and slow eye blink frequency are perceived as more sociable and more attractive. Compared to avatars seen in full frontal view or from above, avatars seen from below were rated as most sociable, self-confident, and attractive. Moreover, avatars’ pupil size and eyeblink frequency escape the viewer’s conscious perception but still influence how people evaluate them. The findings have wide-ranging applied implications for avatar design.


2019 ◽  
pp. 5-28
Author(s):  
Vadim V. Radaev

A sociological approach towards the generational cohort analysis is developed. A special emphasis is made upon the youngest adult generation of millennials coming out of their adolescence in the 2000s. A broad range of social indicators is used for empirical exploration of intra-generational differences between urban and rural millennials. Data were collected from the annual Russian Longitudinal Monitoring Survey (RLMS-HSE) in 2003—2016. Numerous significant differences have been revealed with regard to the educational level, family planning, use of modern gadgets and digital technologies, commitment to healthy lifestyles, and some values. Some practices are more widely spread among rural millennials, whereas other practices are more characteristic of urban millennials. Most of revealed differences are explained by the lower level of material well-being of rural millennials and lower quality of rural infrastructure.


2008 ◽  
Vol 58 (2) ◽  
pp. 199 ◽  
Author(s):  
Seon Hyeong Choi ◽  
Eun-Kyung Kim ◽  
Jin Young Kwak ◽  
Min Jung Kim ◽  
Ki Kun Oh

2014 ◽  
Vol 134 (2) ◽  
pp. 233-241
Author(s):  
Yukiko Shinozuka ◽  
Takuya Minagawa ◽  
Hideo Saito

2020 ◽  
Vol 72 (2) ◽  
Author(s):  
Silvia Alboresi ◽  
Alice Sghedoni ◽  
Giulia Borelli ◽  
Stefania Costi ◽  
Laura Beccani ◽  
...  

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