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The Effects of a Smartphone App (Feelee) to Enhance Adolescents’ Emotion Regulation Skills in a Forensic Outpatient Setting: Protocol for a Multiple Single-Case Experimental Design

The Effects of a Smartphone App (Feelee) to Enhance Adolescents’ Emotion Regulation Skills in a Forensic Outpatient Setting: Protocol for a Multiple Single-Case Experimental Design

Primary outcome measurements are taken daily throughout the baseline (phase A1), intervention (phase B), and follow-up phase (phase A2), using the smartphone app M-path. Secondary outcomes are measured at pre-(T0), post-(T1), and short-term follow-up measurements (T2). Additionally, qualitative data collection occurs at T2 and T3. The total research period, from the start of the baseline until the final measurement of the follow-up phase, lasts approximately 8 weeks per participant.

Merel M L Leijse, Levi van Dam, Thimo M van der Pol, René Breuk, Arne Popma

JMIR Res Protoc 2025;14:e64756

Assessing the Fit of a Digitally Delivered National Diabetes Prevention Program Among Rural Living Adults: Qualitative Study

Assessing the Fit of a Digitally Delivered National Diabetes Prevention Program Among Rural Living Adults: Qualitative Study

Participants were pseudonymized through the transcription service to reveal only the gender identity or role of the speaker, that is, “F” for a female participant, “M” for a male participant, or “Q” for the interviewer. In the original pilot study, participants were compensated US $20 for time and travel to attend each of the 3 outcome testing visits (baseline, 3 months, and 6 months) and allowed to keep the Fitbit (Google LLC) and wireless scales used for self-monitoring in the pilot study.

Gerit Wagner, Lyndsie M Koon, Patricia Smith, Kameron B Suire, Mary Hastert, Joseph E Donnelly, Melissa D Olfert, Paul Estabrooks, Anna M Gorczyca

JMIR Form Res 2025;9:e70406

Assessing the Psychosocial Impact of Expressive Writing on Adults With Spinal Cord Injury: Qualitative Study

Assessing the Psychosocial Impact of Expressive Writing on Adults With Spinal Cord Injury: Qualitative Study

Characteristics of participants with spinal cord injury who completed the coach-guided videoconferencing expressive writing program (n=24). a Gender: F=female; M=male b Education: PG=postgraduate; BA/BS =bachelor’s degree; SC=some college; V=vocation; c Living situation: A=alone; WS=with someone. d Employment: FT=fulltime; PT=parttime; NW=not working; R=retired; D=disability; HM=homemaker. e Diagnosis: E=ependymoma; NS=neurosarcoidosis; SCI=spinalcord injury; TM=transverse myelitis. f Injury level: P=paraplegia;

Shelly M Xie, Molly McKenna, Kendall Veach, Sydney Williams, Mary Grace Jones, Elizabeth Vander Kamp, Salaam Green, Lauren Edwards, Kimberly Kirklin, Benjamin A Jones, Hon K Yuen

JMIR Form Res 2025;9:e71162

In Vitro Characterization of the Immune Response to an Epitope Ensemble Vaccine Against Rhinovirus in Pediatric Asthma and Adults With Chronic Obstructive Pulmonary Disease: Protocol for an Observational and Exploratory Study

In Vitro Characterization of the Immune Response to an Epitope Ensemble Vaccine Against Rhinovirus in Pediatric Asthma and Adults With Chronic Obstructive Pulmonary Disease: Protocol for an Observational and Exploratory Study

HRV demonstrates exceptional diversity, with 3 recognized species: HRV-A, HRV-B, and HRV-C. Each species includes numerous distinct serotypes, which can be differentiated through serological methods. At present, there are approximately 83 HRV-A, 32 HRV-B, and 55 HRV-C serotypes in circulation. Furthermore, high-resolution sequencing has identified multiple HRV serotypes within each serotype.

Sara Alonso Fernandez, Raquel Reyes-Manzanas, Susana Camara, Juan Mozas-Gutierrez, Myriam Calle-Rubio, Juan Rodriguez-Hermosa, Andres Bodas-Pinedo, Santiago Rueda Esteban, Esther M Lafuente, Jesús Reiné, Pedro A Reche

JMIR Res Protoc 2025;14:e73383

ChatGPT-4–Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study

ChatGPT-4–Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study

The model was configured with L2 regularization, and the regularization strength parameter (C) was optimized through grid search over a predefined range [36,37]. The liblinear solver was used for its suitability with small datasets, and the maximum number of iterations was set to 1000 to ensure model convergence.

Laith R Sultan, Shyam Sunder B Venkatakrishna, Sudha A Anupindi, Savvas Andronikou, Michael R Acord, Hansel J Otero, Kassa Darge, Chandra M Sehgal, John H Holmes

JMIR AI 2025;4:e68144