Unique affective profile of music-evoked nostalgia: An extension and conceptual replication of Barrett et al.'s (2010) study.

Nostalgia is a mixed emotion, often evoked by music. This study sought to conceptually replicate and extend Barrett et al.'s (see record 2010-09991-008) pioneering work exploring music-evoked nostalgia, where the authors identified person- and context-level predictors of the experience of nostalgia in music.

Creating musical features using multi-faceted, multi-task encoders based on transformers.

Computational machine intelligence approaches have enabled a variety of music-centric technologies in support of creating, sharing and interacting with music content. A strong performance on specific downstream application tasks, such as music genre detection and music emotion recognition, is paramount to ensuring broad capabilities for computational music understanding and Music Information Retrieval. Traditional approaches have relied on supervised learning to train models to support these music-related tasks.

Patient and Process Outcomes among Pediatric Patients Undergoing Appendectomy during the COVID-19 Pandemic: An International Retrospective Cohort Study.

Background: COVID-19 forced healthcare systems to make unprecedented changes in clinical care processes. The authors hypothesized that the COVID-19 pandemic adversely impacted timely access to care, perioperative processes, and clinical outcomes for pediatric patients undergoing primary appendectomy.

Methods: A retrospective, international, multicenter study was conducted using matched cohorts within participating centers of the international PEdiatric Anesthesia COVID-19 Collaborative (PEACOC).

It's not what you said, it's how you said it: An analysis of therapist vocal features during psychotherapy.

Psychotherapy is a conversation, whereby, at its foundation, many interventions are derived from the therapist talking. Research suggests that the voice can convey a variety of emotional and social information, and individuals may change their voice based on the context and content of the conversation (e.g.

A computational lens into how music characterizes genre in film.

Film music varies tremendously across genre in order to bring about different responses in an audience. For instance, composers may evoke passion in a romantic scene with lush string passages or inspire fear throughout horror films with inharmonious drones. This study investigates such phenomena through a quantitative evaluation of music that is associated with different film genres.

Computational modeling of conversational humor in psychotherapy.

Humor is an important social construct that serves several roles in human communication. Though subjective, it is culturally ubiquitous and is often used to diffuse tension, specially in intense conversations such as those in psychotherapy sessions. Automatic recognition of humor has been of considerable interest in the natural language processing community thanks to its relevance in conversational agents.