Light from thermal black body radiators such as stars exhibits photon bunching behaviour at sufficiently short time-scales. However, with available detector bandwidths, this bunching signal is difficult to be directly used for intensity interferometry with sufficient statistics in astronomy. Here we present an experimental technique to increase the photon bunching signal in blackbody radiation via spectral filtering of the light source. Our measurements reveal strong temporal photon bunching in light from blackbody radiation, including the Sun. Such filtering techniques may revive the interest in intensity interferometry as a tool in astronomy.
This study examined the conceptualisation of Singaporean and Chinese parents' emotion socialisation in childhood and the relation to adolescents' emotion regulation with 601 adolescents aged 12–15. For both Singaporean and Chinese parents, we examined the factorial structure underlying six parental reactions to children's negative emotions, and the relations between the established factors with adolescents' cognitive reappraisal and response suppression. The findings revealed differences in the conceptualisation of parental reactions for Singaporean and Chinese parents, with the three‐ and four‐factor models indicating good fit, respectively. For Singaporean parents, the factor comprising Expressive Encouragement, Emotion‐Focused and Problem‐Focused reactions was positively correlated with male adolescents' cognitive reappraisal, and the factor comprising Punitive and Distress Reactions was positively related to female adolescents' response suppression. For Chinese parents, the Expressive Encouragement factor was positively correlated with male adolescents' cognitive reappraisal. These findings on cultural differences in the factors underlying parental reactions and their relations with adolescents' emotion regulation support the emotion competency framework for understanding parents' emotion socialisation across cultures.
Background Mobile health (mHealth) platforms show promise in the management of mental health conditions such as anxiety and depression. This has resulted in an abundance of mHealth platforms available for research or commercial use. Objective The objective of this review is to characterize the current state of mHealth platforms designed for anxiety or depression that are available for research, commercial use, or both. Methods A systematic review was conducted using a two-pronged approach: searching relevant literature with prespecified search terms to identify platforms in published research and simultaneously searching 2 major app stores—Google Play Store and Apple App Store—to identify commercially available platforms. Key characteristics of the mHealth platforms were synthesized, such as platform name, targeted condition, targeted group, purpose, technology type, intervention type, commercial availability, and regulatory information. Results The literature and app store searches yielded 169 and 179 mHealth platforms, respectively. Most platforms developed for research purposes were designed for depression (116/169, 68.6%), whereas the app store search reported a higher number of platforms developed for anxiety (Android: 58/179, 32.4%; iOS: 27/179, 15.1%). The most common purpose of platforms in both searches was treatment (literature search: 122/169, 72.2%; app store search: 129/179, 72.1%). With regard to the types of intervention, cognitive behavioral therapy and referral to care or counseling emerged as the most popular options offered by the platforms identified in the literature and app store searches, respectively. Most platforms from both searches did not have a specific target age group. In addition, most platforms found in app stores lacked clinical and real-world evidence, and a small number of platforms found in the published research were available commercially. Conclusions A considerable number of mHealth platforms designed for anxiety or depression are available for research, commercial use, or both. The characteristics of these mHealth platforms greatly vary. Future efforts should focus on assessing the quality—utility, safety, and effectiveness—of the existing platforms and providing developers, from both commercial and research sectors, a reporting guideline for their platform description and a regulatory framework to facilitate the development, validation, and deployment of effective mHealth platforms.
BACKGROUND Background: The burgeoning mental health issues among emerging adults (ages 19 to 25) worldwide has fueled concerns about their widespread experiences of anxiety and depression. With the onset of the COVID-19 pandemic, emerging studies are being directed towards the development and deployment of digital peer emotional disclosure and support for the psychological well-being of emerging adults. However, much remains to be explored regarding implementation and clinical effectiveness, how best to conduct digital peer support intervention for emerging adults’ psychological well-being, and the associated mechanism of change. OBJECTIVE Objective: This protocol delineates a randomized controlled trial for evaluating the implementation and clinical effectiveness of Acceset, a digital peer support intervention for emerging adult mental well-being with two components. First, the digital peer support training equips befrienders (i.e., peers who provide support) in harnessing four active ingredients—Mattering, selfhood, compassion, and mindfulness—to provide effective peer support for seekers (peers who seek support). Second, the Acceset platform incorporates digital markers of psychological well-being, hinges on peer emotional disclosure process and entails community engagement. METHODS Methods: 100 participants (aged 19 to 25) from the National University of Singapore (NUS) will be recruited and randomly allocated into two arms. Arm 1 (n = 50) seekers will engage with the Acceset platform for a period of 3 weeks, together with befrienders (n = 30) and moderators (n = 30). Arm 2 (n = 50) a control group will be placed on a waitlist for Acceset intervention. Both seekers and befrienders will be monitored using a questionnaire battery at 4 time points: baseline (before the intervention), 3 weeks (the end of the intervention), 6 weeks and 9 weeks (to measure carry over effects). The implementation outcomes on the two components of the intervention will be adoption and fidelity evaluation of the digital peer support training curriculum and the feasibility and acceptability of the Acceset platform. The clinical outcomes will include Mattering, self-hood, compassion, mindfulness, perceived social support and psychological well-being scores. RESULTS Results: This protocol has received approval by the Institutional Ethics Review Board of NUS in October 2021. Recruitment will commence in January 2022. We expect data collection and analyses to be completed in June 2022. The aim is to publish the preliminary results in December 2022. The size effect will be estimated using the Cohen d index with a significance level of .05 (95% reliability) and a conventional 80% power statistic. CONCLUSIONS Conclusions: This protocol considers a novel digital peer support intervention—Acceset—that incorporates active ingredients and digital markers of emerging adult mental well-being. Through the validation of Acceset intervention, this study defines the parameters and conditions for digital peer support intervention for emerging adults. CLINICALTRIAL Trial Registration: ClinicalTrials.gov NCT05083676
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