A qualitative comparison study of analog performance of junction and junctionless poly-Si TFTs

Author(s):  
Shih-Wei Wang ◽  
Jyi-Tsong Lin ◽  
Yi-Chuen Eng ◽  
Yu-Che Chang ◽  
Chia-Hsien Lin ◽  
...  
Adolescents ◽  
2021 ◽  
Vol 1 (4) ◽  
pp. 442-460
Author(s):  
Sally Lindsay ◽  
Hiba Ahmed

Purpose: Youth and young adults are particularly vulnerable to the socio-economic impacts of Coronavirus Disease (COVID-19). The purpose of this study was to explore barriers to school and employment for youth with and without a disability during the pandemic. Methods: This qualitative comparison study involved in-depth interviews with 35 youth and young adults (18 with a disability; 17 without), aged 16–29 (mean age 23). An interpretive, thematic analysis of the transcripts was conducted. Results: Our findings revealed several similarities and some differences between youth and young adults with and without disabilities regarding barriers to school and employment during the COVID-19 pandemic. Key themes related to these barriers involved: (1) difficult transition to online school and working from home (i.e., the expense of setting up a home office, technical challenges, impact on mental health), (2) uncertainty about employment (i.e., under-employment, difficult working conditions, difficulty finding work, disability-related challenges) and (3) missed career development opportunities (i.e., canceled or reduced internships or placements, lack of volunteer opportunities, uncertainties about career pathway, the longer-term impact of the pandemic). Conclusion: Our findings highlight that youth and young adults with disabilities may need further support in engaging in meaningful and accessible vocational activities that align with their career pathway.


2021 ◽  
Vol 26 (3) ◽  
pp. 10-16
Author(s):  
Halaa Kadhim hasan ◽  
Ayad A.AL-Ani ◽  
Noor Z. AlKhazraji

Classification is concerned with establishing criteria that can be used to identify or distinguish different populations of objects that appear in images. In this paper Supervised and unsupervised classification method applied on normal, abnormal (with a coronavirus) ct- lung images (which it took from Al shaikh zaeid Hospital)  to study the quantitative and qualitative properties of these two categories. The analysis of performance with default quantitative parameters revealed that (kurtosis, skewness, entropy, Stander deviation (STD), mean). We found that: Qualitative (as seen) of   abnormal lung images after applying  Supervisors classification are better than the qualitative of abnormal lung images after applying  unsupervisors classification to detect the virus with white color in the lower lobes of the lung.. from The quantitative Properties such as (kurtosis, skewness) of original lung images are similar in rising to resulted value after applying  Supervisors classification on it, so Supervisors method is better than unSupervisors method to distinguishing between normal and abnormal lung images.


2009 ◽  
Vol 15 (6) ◽  
pp. 666-667 ◽  
Author(s):  
Lisa R. Rubin ◽  
Anne Klassen ◽  
Stefan J. Cano ◽  
Karen Hurley ◽  
Andrea L. Pusic

2018 ◽  
Vol 51 ◽  
pp. 52-56 ◽  
Author(s):  
David Yuen Chung Chan ◽  
Danny Tat Ming Chan ◽  
Cannon Xian Lun Zhu ◽  
Patricia Kwok Yee Kan ◽  
Amelia Yikjin Ng ◽  
...  

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