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Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled Investigation

Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled Investigation

The content of the scenario is defined in several external configuration files (.xml) in which the experimenter can specify the logical flow of the scenario and the MCQs that include: questions given to learners, the virtual patient’s responses, the type of emotional expression and its intensity (Action Unit combinations of each emotion are defined in the other configuration file), settings of spoken utterances (eg speed and pitch), and score settings (clinical reasoning and interpersonal skills).

Paul Roux, Yujiro Okuya, Cristina Morel, Mariane Soulès, Hugo Bottemanne, Eric Brunet-Gouet, Solène Frileux, Christine Passerieux, Nadia Younes, Jean Claude Martin

JMIR Serious Games 2025;13:e69347


Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach

Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach

Span Emo [43] is a deep learning–based multilabel emotion recognition model. It analyzes text segments (spans) and classifies each span according to the emotions it conveys. The keywords associated with each emotion class are presented in Table S4 in Multimedia Appendix 1. This is particularly useful in complex texts where different parts may express different emotions.

Julina Maharjan, Ruoming Jin, Jennifer King, Jianfeng Zhu, Deric Kenne

JMIR Infodemiology 2025;5:e67333


Changes in Mental State for Help-Seekers of Lifeline Australia’s Online Chat Service: Lexical Analysis Approach

Changes in Mental State for Help-Seekers of Lifeline Australia’s Online Chat Service: Lexical Analysis Approach

While some previous research has used NLP to explore broad changes in help-seekers’ positive and negative sentiment [eg, 25], in the current study we analyze a wider range of general mental states (Positive Emotion, Negative Emotion, Suffering, and Optimism) and crisis-specific mental states (Distress and Suicidality).

Kelly Mazzer, Sonia Curll, Hakar Barzinjy, Roland Goecke, Mark Larsen, Philip J Batterham, Nickolai Titov, Debra Rickwood

JMIR Form Res 2025;9:e63257


Adolescent Emoji Use in Text-Based Messaging: Focus Group Study

Adolescent Emoji Use in Text-Based Messaging: Focus Group Study

…I know definitely some of my friends do this, like, if they’re typically experiencing, like, a negative emotion, they’ll like emoji spam and do a bunch of random, like, really random ones… …People, like, sometimes, like, spam emojis because they’re, like, angry that they lost [a mobile game] or they’re excited that they won.

Matt Minich, Bradley Kerr, Megan Moreno

JMIR Form Res 2025;9:e59640


Acoustic and Natural Language Markers for Bipolar Disorder: A Pilot, mHealth Cross-Sectional Study

Acoustic and Natural Language Markers for Bipolar Disorder: A Pilot, mHealth Cross-Sectional Study

For example, observable linguistic traits (eg, increased use of both first-person pronouns and negative emotion expressions) can be identified among people with BD [23]. However, although linguistic features are informative, they are context-dependent and inferred according to word transcriptions [27].

Cristina Crocamo, Riccardo Matteo Cioni, Aurelia Canestro, Christian Nasti, Dario Palpella, Susanna Piacenti, Alessandra Bartoccetti, Martina Re, Valentina Simonetti, Chiara Barattieri di San Pietro, Maria Bulgheroni, Francesco Bartoli, Giuseppe Carrà

JMIR Form Res 2025;9:e65555


Experiences and Expectations of Immigrant and Nonimmigrant Older Adults Regarding eHealth Services: Qualitative Interview Study

Experiences and Expectations of Immigrant and Nonimmigrant Older Adults Regarding eHealth Services: Qualitative Interview Study

Reference 40: Teachers need more than knowledge: why motivation, emotion, and self-regulation are indispensableemotion

Maedeh Ghorbanian Zolbin, Sari Kujala, Isto Huvila

J Med Internet Res 2025;27:e64249


A Narrative Review to Identify Promising Approaches for Digital Health Interventions to Support Emotion Regulation for Adolescents With Attention-Deficit/Hyperactivity Disorder

A Narrative Review to Identify Promising Approaches for Digital Health Interventions to Support Emotion Regulation for Adolescents With Attention-Deficit/Hyperactivity Disorder

As such, there remains a need for new accessible interventions to support emotion regulation and associated functioning among adolescents with ADHD, especially those that can support the application of emotion regulation skills in real-life contexts. Interventions that are “ecologically” embedded, facilitating emotion regulation generalization in daily life are particularly needed.

Aja Louise Murray, Melissa Thye, Ingrid Obsuth, Shufang Cai, Michael Lui, Corina Orr, Anusha Saravanan

JMIR Ment Health 2025;12:e56066


The Mediating Role of Meaning-Making in the Relationship Between Mental Time Travel and Positive Emotions in Stress-Related Blogs: Big Data Text Analysis Research

The Mediating Role of Meaning-Making in the Relationship Between Mental Time Travel and Positive Emotions in Stress-Related Blogs: Big Data Text Analysis Research

Unlike classic problem- and emotion-focused coping strategies, meaning-making does not attempt to change problematic situations or directly reduce negative emotions or pain [25]. Instead, it unifies beliefs, goals, and stress contexts by searching for meaning [26]. The meaning-making model proposed and revised by Park [27] is a widely accepted theory for understanding how individuals cope positively with stressful events and situations.

Yidi Chen, Lei Zheng, Jinjin Ma, Huanya Zhu, Yiqun Gan

J Med Internet Res 2025;27:e63407