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For ABA-designs, repeated measurements are conducted in the absence (A) and presence (B) of an intervention [67,68,70]. This approach allows participants to serve as their own controls [68,69]. Performing a SCED, such as an ABA design, is particularly effective for identifying causal relationships between an intervention (independent variable) and changes in the outcome measures (dependent variables) [69].
JMIR Res Protoc 2025;14:e64756
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Seventy B-mode grayscale ultrasound images acquired from validated rat liver disease models [30-32] were used for analysis. The images were distributed across 3 categories of liver health: fibrosis (n=31), steatosis (fatty liver) (n=18), and normal (n=21). To maintain consistency and reliability in the analysis, the imaging parameters were standardized, including transducer frequency, gain settings, imaging depth, focus, and dynamic range.
JMIR AI 2025;4:e68144
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County B, on the east side of the state, is an urban county, with over 370,000 people. The jail had 404 beds and 8300 bookings in 2019. These jails vary in screening methods for suicide risk at jail booking, which reflects variability nationally. County A uses several scripted questions about current and past suicide ideation or attempts, and County B uses several scripted questions and a truncated version of the Columbia Suicide Severity Rating Scale [25].
The 2 jail populations vary demographically.
JMIR Res Protoc 2025;14:e68517
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