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Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

(C) Stimuli for the emotion bias cognitive assessment are shown and presented neutral, happy, sad, or angry faces superimposed on an arrow, whose direction was discriminated by participants. (D) In the attention-to-breath task, participants were instructed to close their eyes, breathe naturally, and respond after every 2 breaths by tapping on the spacebar, while simultaneously EEG was being recorded. EEG: electroencephalography.

Satish Jaiswal, Jason Nan, Seth Dizon, Jessica O Young, Suzanna R Purpura, James K Manchanda, Dhakshin Ramanathan, Dennis J Kuo, Jyoti Mishra

JMIR Form Res 2025;9:e69607

Reducing Methamphetamine Use in Aboriginal and Torres Strait Islander Communities With the “We Can Do This” Web App: Qualitative Evaluation of Acceptability and Feasibility

Reducing Methamphetamine Use in Aboriginal and Torres Strait Islander Communities With the “We Can Do This” Web App: Qualitative Evaluation of Acceptability and Feasibility

The following codes are used to identify: P=person with experience, also referred to as “clients”; C=clinician; and W=peer worker. Affective attitude refers to how a participant feels about the program being evaluated. There were several examples of positive affect. As one clinician stated: I had a good feeling that there was this kind of app out there available for clients. So going through it, I was like “Yeah, this is looking pretty good.”

Leda Sivak, Rachel Reilly, Shani Crumpen, Carla Treloar, Rebecca McKetin, Julia Butt, Yvette Roe, Nadine Ezard, Brendan Quinn, Jack Nagle, Wade Longbottom, Clifford Warrior, James Ward

JMIR Form Res 2025;9:e58369

Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning–Enabled Medical Device Recalls in the United States: Implications for Future Governance

Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning–Enabled Medical Device Recalls in the United States: Implications for Future Governance

Recall does not include a market withdrawal or a stock recovery” [9] (refer to Figure 2). Although recalls are intended to ensure patient safety, Zipp [8] points out that the system for initiating recalls often takes a long time to start the recall process [10]. Zipp [8] also uses the example of the recall of Philips sleep apnea ventilator devices to illustrate this situation and proposes using a Unique Device Identifier as a solution to track product flow and expedite the recall process.

Wei-Pin Chen, Wei-Guang Teng, C Benson Kuo, Yu-Jui Yen, Jian-Yu Lian, Matthew Sing, Peng-Ting Chen

JMIR Med Inform 2025;13:e67552