However, when comparing actors' and observers' counterfactuals, these studies show that observers (who directly observed the actors' negative resolving situations) tend to mentally simulate alternative post-decisional solutions to those situations as actors themselves do [9].
To predict false negative resolving reactions, the model was constrained to match each false negative condition, one at a time, and SMILEY was run.
Criteria for NSSI include five or more days of self-inflicted harm over the course of one year without suicidal intent, and the individual must have be motivated by seeking relief from a negative state, resolving an interpersonal difficulty, or achieving a positive state.
Proposed criteria include: NSSI on five or more days in the past year, for the purpose of relief from negative feelings, resolving interpersonal difficulties or to induce a positive state (e.g. euphoria).
He was repeatedly anti-HCV positive and HCV RNA negative, indicating resolved infection.
By hospital day 5, blood cultures remained negative, leukocytosis resolved, and creatinine levels normalized.
Most participants stated that negative feelings resolved as they were able to return to activities undertaken prior to their ankle fracture.
Integrative life review is most well-known, and implies an evaluation of one's past in order to accept negative events, resolve past conflicts, identify continuity of past and present, and, eventually, find meaning in life [ 16].
Thus, students will sometimes experience negative emotions and need to learn to regulate their emotions, defined as focusing on positive emotions and resolving negative emotions (C. Kim & Pekrun, 2014; Gross, 2008; Pekrun, 2006).
Motivational interviewing (MI) is a behavioral counseling approach that has been shown to be effective in helping people abstain from negative behaviors by resolving ambivalence about behavior and increasing internal motivation [ 15].
Integrating biological networks with proteomics is a tantalizing option for system-level analysis; for example it can help remove false-positives from proteomics data and improve coverage by detecting false-negatives, as well as resolving inconsistent inter-sample protein expression due to biological heterogeneity.
