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1.
Journal of Korean Physical Therapy ; (6): 69-75, 2021.
Article in English | WPRIM | ID: wpr-900217

ABSTRACT

Purpose@#This study examined the recognition of rehabilitative robots for treatment in physical therapists. @*Methods@#This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. @*Results@#The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. @*Conclusion@#Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

2.
Journal of Korean Physical Therapy ; (6): 69-75, 2021.
Article in English | WPRIM | ID: wpr-892513

ABSTRACT

Purpose@#This study examined the recognition of rehabilitative robots for treatment in physical therapists. @*Methods@#This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. @*Results@#The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. @*Conclusion@#Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

3.
Immune Network ; : 260-267, 2015.
Article in English | WPRIM | ID: wpr-73364

ABSTRACT

CD99 signaling is crucial to a diverse range of biological functions including survival and proliferation. CD99 engagement is reported to augment activator protein-1 (AP-1) activity through mitogen-activated protein (MAP) kinase pathways in a T-lymphoblastic lymphoma cell line Jurkat and in breast cancer cell lines. In this study, we report that CD99 differentially regulated AP-1 activity in the human myeloma cell line RPMI8226. CD99 was highly expressed and the CD99 engagement led to activation of the MAP kinases, but suppressed AP-1 activity by inducing the expression of basic leucine zipper transcription factor, ATF-like (BATF), a negative regulator of AP-1 in RPMI8226 cells. By contrast, engagement of CD99 enhanced AP-1 activity and did not change the BATF expression in Jurkat cells. CD99 engagement reduced the proliferation of RPMI8226 cells and expression of cyclin 1 and 3. Overall, these results suggest novel CD99 functions in RPMI8226 cells.


Subject(s)
Humans , Breast Neoplasms , Cell Line , Cyclins , Jurkat Cells , Leucine Zippers , Lymphoma , Multiple Myeloma , Phosphotransferases , Transcription Factor AP-1 , Transcription Factors
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