Characterizing the mechanisms and galaxy properties conducive to the escape of ionizing (LyC) emission is necessary to accurately model the Epoch of Reionization and identify the sources that powered it. Using Hubble Space Telescope data, the Ly α and Continuum Origins Survey (LaCOS) is the first program to obtain uniform, multiwavelength subkiloparsec imaging for a large sample (42) of galaxies observed in LyC and enable statistically robust studies between LyC and resolved galaxy properties. Here, we characterize the morphology and galaxy merger properties of LaCOS galaxies and investigate their connection with the escape fraction of LyC emission f esc LyC . We find strong anticorrelations between f esc LyC and size ( r 20 , r 50 , and r 80 ) measured in filters containing emission from star-forming regions, and with the asymmetry and clumpiness in F150LP, a filter tracing UV continuum and Ly α . We find that ≥48% of LaCOS galaxies, and ≥41% of LaCOS LyC-emitters are visually classified as galaxy mergers. Galaxies robustly identified as mergers in LaCOS are at advanced stages of interaction, close to coalescence. The f esc LyC properties of robust mergers and low-probability mergers cannot be differentiated statistically, and we only find significant difference between the two populations in terms of their sizes and LyC luminosity: robust mergers having larger values. We conclude that (i) f esc LyC tends to be larger in galaxies with a small number of compact, centrally located, UV-emitting star-forming regions, (ii) mergers at advanced stages of interaction represent a sizable fraction of LyC-emitting samples at z ∼ 0.3, and (iii) mergers can facilitate the escape of LyC photons from galaxies.
Internet-based cognitive behaviour therapy (ICBT) is now a well-established treatment modality supported by numerous controlled trials. Platforms for delivering these interventions have become critical infrastructure for both research and clinical practice, yet platform descriptions remain rare in the literature. In this article, we provide an updated description of the Iterapi platform, originally reported by Vlaescu et al., 2016. Over the past decade, Iterapi has been used in more than 100 published research studies, spanning over 35 clinical conditions (including depression, anxiety disorders, insomnia, tinnitus, loneliness, and climate anxiety) across at least 20 countries on five continents. We describe the platform's core architecture and functionality, including treatment modules, questionnaire systems, communication tools, and automation features. We also report on significant developments since 2016, including enhanced security and regulatory compliance (GDPR, data protection impact assessments), new features for ecological momentary assessment, electronic identification and incorporation of artificial intelligence. Finally, we outline future directions including mobile application development, digital phenotyping, just-in-time adaptive interventions, and the role of emerging regulatory frameworks. This update is intended as a practical resource for researchers and clinicians considering platform-based delivery of internet interventions.
Research on resilience over the past decades has been seeking to understand how some students manage to overcome the odds associated with exposure to adversities. Within this research field, the concept of resilience has been extensively examined, with “academic resilience” has been widely used in education to describe resilience in relation to learning and cognitive performance. At the same time, science education research has long focused on understanding and counteracting educational inequalities affecting minoritised students and has generated insights into how some students persists and succeed despite structural and social challenges. However, these issues have rarely been explicitly examined through the lens of academic resilience. This review paper therefore examines how academic resilience has been conceptualised and mobilised within science education research, and considers what a resilience framework contributes to understanding how students navigate structural barriers in learning science. Through a review of thirteen science education journals, the analysis identifies four overarching themes in the limited but emerging use of academic resilience in the field, as well as a range of resources that support students’ engagement and educational trajectories within context shaped by structural constraints. These resources are discussed in relation to how academic resilience has been operationalised within science education research, advancing a conceptualisation of academic resilience that could be potentially brings greater analytical coherence to existing research on the phenomena of “succeeding against the odds” in science education.
This study examines how family and non-family firms differ in early internationalization and the implications for post-entry international performance. Drawing on the socioemotional wealth (SEW) and the learning advantage of newness (LAN) perspectives, we develop theoretical arguments and document empirical patterns regarding differences in early internationalization decisions and post-entry international performance between family and non-family firms. We also take into account the role of non-family managers. Using survey data from 317 firms in China and Brazil, we find that family firms are less likely to internationalize early, consistent with SEW preservation motives. However, when they do internationalize early, they outperform non-family firms in post-entry international performance, in line with LAN-based explanations. Moreover, equity ownership by non-family managers mitigates the negative effect of family firms on early internationalization and amplifies its performance benefits. These findings advance international entrepreneurship research by clarifying how ownership structures involving family owners and non-family managers influence early internationalization behavior and outcomes.
