Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hyun Joon Yang"'
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e24121- (2024)
A new weaving technology using a modified z-binder interlacement system was designed to demonstrate its potential for the effective, continuous, efficient, and rapid manufacturing of various three-dimensional (3D) woven structures. First, three repre
Externí odkaz:
https://doaj.org/article/8ba9ee0155e24fddaf5fe191a5b3db49
Autor:
Eliza Van Wye, Brittany Matheson, Kyra Citron, Hyun-Joon Yang, Nandini Datta, Cara Bohon, James D. Lock
Publikováno v:
Contemporary Clinical Trials. 124:107036
Background Avoidant Restrictive Food Intake Disorder (ARFID) is an eating disorder recently added to the Diagnostic and Statistical Manual, 5th Edition (DSM-5) that involves nutritional, developmental, and/or psychosocial impairment, and often presen
Autor:
Kyra Citron, Madelyn Johnson, Brittany E. Matheson, Z. Ayotola Onipede, Hyun-Joon Yang, Cara Bohon, Daniel Le Grange, James Lock
Publikováno v:
Contemporary Clinical Trials. 120:106889
Private practice clinicians make up approximately 50% of US mental health outpatient providers and treat a high number of eating disorder patients. While family-based treatment (FBT) is a first-line treatment for adolescent anorexia nervosa (AN), pri
Publikováno v:
Functional Composites and Structures. 2:015007
Capacitive textile touch sensors were developed using carbon nanotube (CNT) fiber assemblies with braided insulating fibers, considering the washability, a critical factor to realize smart clothing. CNT fibers with electrical conductivity comparable
Publikováno v:
Functional Composites and Structures. 2:015005
Autor:
Jane Paik Kim, Hyun-Joon Yang
Publikováno v:
Methodological Innovations, Vol 17 (2024)
We motivate and present the methodology of vignette studies. The primary contribution of this paper is our proposal of a novel vignette study design: “SMART vignettes.” Our design has two notable features: the first is its use of sequential rando
Externí odkaz:
https://doaj.org/article/d0103bda33174cec8cc8a6882c959f14
Publikováno v:
JMIR Research Protocols, Vol 13, p e54787 (2024)
BackgroundAs the availability and performance of artificial intelligence (AI)–based clinical decision support (CDS) systems improve, physicians and other care providers poised to be on the front lines will be increasingly tasked with using these to
Externí odkaz:
https://doaj.org/article/1f3d03bf73cc45158f301fe46d9d5330