Background
Most people who try to regularly exercise relapse. All-or-nothing thinking with exercise—defined as occurring when an individual is not willing or cannot adhere perfectly to their exercise intentions or plan and chooses to not exercise at all rather than modify the plan—is a potential barrier to sustained exercise that has received virtually no attention within the exercise, public health, and behavioral science literatures. The purpose of this study was to investigate all-or-nothing thinking among individuals who have tried but failed to stick with exercising, with a specific interest in whether and how all-or-nothing thinking may contribute to decisions to not exercise when a plan is disrupted.

Methods
Four focus groups were conducted among adults (89% female, 85% white) in two life stages (students, community members) who indicated that they had tried to regularly exercise but had not been able to stick with it (N = 27). Data were analyzed using reflexive thematic analysis.

Results
We developed four themes: (1) Rigid idealized exercise criteria lay the groundwork for all-or-nothing thinking; (2) Seeking excuses not to exercise; (3) Exercise is expendable; and (4) Baffled by current inactivity in light of past exercise positivity. Overall, participants appeared to endorse all-or-nothing thinking, and this thinking style seemed to be supported by a set of implicit and explicit cognitive-motivational forces that converged into a greater culturally conditioned mindset that devalued exercising and cultivated rigid self-regulatory practices, guiding participants to opt out of exercising when their plans faced common challenges and competing goals.

Conclusions
Exercise-related all-or-nothing thinking seemed to exist among individuals who have tried but failed to sustain regular exercise and warrants more research. Findings can inform next-stage research and interventions to combat all-or-nothing thinking within public health, behavioral medicine, and community contexts.

Video gaming is a widespread practice among young adults, and it is becoming increasingly social. Analog games are affected by this trend as well; social platforms like Reddit host many communities about these playing practices. However, while the impact of online digital gaming on players’ mental health is well explored, this relationship has been overlooked in the context of analog play. This article addresses this gap by validating through a Rasch analysis the Internet Gaming Disorder Scale-Short Form (IGDS9-SF) with N = 481 analog gamers from related communities on Reddit. In addition, simple mediation analyses were performed to examine the role of gamer identification as a mediator on the relationship between gaming community attractiveness and problematic gaming behaviors in analog play. The results show that IGDS9-SF is a robust instrument to shed light on problematic analog gaming, while gamer identification partially mediates the relationship between problematic gaming symptoms and community attractiveness.

N6-methyladenosine (m⁶A) constitutes the most prevalent nucleotide modification within eukaryotic messenger RNA (mRNA). Variations in m⁶A levels are associated with numerous human diseases and health conditions, including various forms of cancer, diabetes, neurological disorders, male infertility, and obesity. Nevertheless, the molecular mechanisms underpinning the recognition of m⁶A by different ‘reader’ proteins remain incompletely elucidated. In this study, we used phage display to identify key sequence features that methyl readers recognize in m⁶A. This study shows that m⁶A modifications affect the mRNA interactome. A peptide motif recognizing m⁶A in DRACH sequences suggests a common recognition mechanism, though proteins may use different methods to detect m⁶A in less accessible areas. The sequence of the hnRNP A1 RRM domain that aligns with the newly discovered m⁶A-binding peptide, m1p1, is crucial for the binding of m⁶A-modified RNAs, indicating a strong link between the m1p1 sequence and m⁶A recognition, which is key for recognizing m⁶A-modified, unstructured RNAs. Gaining a comprehensive understanding of the evolutionary influence of m⁶A on its reader proteins may facilitate the identification of additional m⁶A readers. These signature peptides could enhance theranostic approaches across cancers, enabling more targeted therapies.

International remittances are one of the largest forms of global financial flow, exceeding $656 billion in 2023 and outpacing even foreign direct investment. Remittances influence both traditional and modern sectors, which this paper examines through a two-sector general equilibrium model. The model analyzes how remittances affect the skill distribution of labor across these sectors. Developing countries, characterized by primary and modern sectors, have an intersector skill threshold along a continuum of worker skills. Below this threshold, workers adopt traditional technologies, while above it, they choose modern technologies. Increased remittance inflows raise the relative demand for differentiated goods, thereby boosting the demand for high-skilled workers in the modern sector. This shift pushes the skill threshold leftward, expanding the modern sector while contracting the traditional sector. As workers transition from the traditional to the modern sector, wages face downward pressure, ultimately reducing the real wage for workers in this sector.

Background: 
Professional noticing is the first step of clinical judgment and a core competency for nurses. Immersive virtual reality (VR) simulations offer students individualized practice and feedback in noticing, which anxiety may impact.

Purpose: 
To describe the relationship between facilitating and debilitating anxiety and noticing among students in VR simulation.

Methods: 
This was a cross-sectional single-site quantitative study, using individual VR simulations with prelicensure nursing students. Outcomes were measured using the Achievement Anxiety Test and Lasater Clinical Judgment Rubric (LCJR).

Results: 
There were no significant correlations between LCJR noticing scores and either type of anxiety: debilitating anxiety scores: (rs [31] = −0.035, P = .854), facilitating anxiety (rs [31] = 0.18, P = .32).

Conclusion: 
This study suggests that anxiety, whether debilitating or facilitating, is not significantly associated with noticing in VR simulation.

Background:
Personality traits are known predictors of substance use (SU), but their expression and association with SU in digital discourse remain largely unexamined. During the COVID-19 pandemic, the online social engagement heightened and led to an amplification in SU rates, thereby creating a unique natural opportunity to investigate these dynamics through large-scale digital discourse data. In our study, we offer insights beyond traditional self-report methods, which are crucial for developing timely and targeted public health interventions.

Objective:
We aim to evaluate whether the associations between the Big Five personality traits and SU discourse shifted during the 2019‐2021 period, and to conduct a focused analysis of how these traits predict SU and relate to specific substance types, emotional expression, and demographic factors.

Methods:
We analyzed a corpus of several hundred million public posts from a major social media platform from 2019 to 2021. Using a pipeline of natural language processing and deep learning models, we identified SU-related posts and subsequently extracted scores for the Big Five personality traits, emotions, and user demographics. We used trend analysis to compare annual shifts in trait-SU associations, while detailed 2020 data underwent rigorous modeling using logistic regression, correlation analysis, and topic modeling to elucidate the core relationships.

Results:
Our analysis revealed that Extraversion (odds ratio [OR] 3.22, 95% CI 2.98-3.49) and, most strikingly, agreeableness (OR 4.04, 95% CI 3.71-4.41) were the strongest positive predictors of being a substance user. In stark contrast to the conventional self-medication hypothesis, neuroticism emerged as a robust protective factor against SU (OR 0.29, 95% CI 0.26-0.31). This counterintuitive finding was supported by a decreased association between neuroticism and SU posts at the pandemic’s onset in 2020 (Cohen d=−0.13, 95% CI) and a negative correlation with the expression of negative emotions online. Topic modeling further indicated that SU discourse was frequently embedded in social contexts (social drinking and friendly beverage choices) rather than themes of solitary coping.

Conclusions:
Our findings challenge traditional models by demonstrating that in large-scale online discourse, SU expression is more powerfully linked to social-affiliative traits than to negative emotionality. The paradoxical protective role of neuroticism suggests that established risk profiles may not apply uniformly to digital environments, particularly during a public health crisis. These insights are vital for refining computational methods for public health surveillance and developing interventions that recognize the potent social drivers of SU in the digital age.