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Recent studies showed that attachment security can change within persons, suggesting that there might be an interplay between a rather stable (trait) and rather variable (state) part of attachment. The study's first aim was to investigate whether attachment priming could influence the level of state attachment. The second aim was to explore possible moderators explaining individual differences in the relation between state attachment responses to attachment versus neutral primes. This can shed light on individual differences in attachment prime-induced state attachment. We conducted a within-subjects priming study in which children (9-13 years) were allocated to three priming procedures (neutral, secure, avoidant). Results showed an increase in secure state attachment after secure attachment priming. Individual differences in the strength of this effect were moderated by trait attachment and state attachment volatility. First findings cautiously suggest that state attachment security can change in response to environmental cues under certain circumstances.

Romantic partners often support each other to progress toward goals. However, at times partners' goals are not in harmony and conflict with partner or relationship needs, leading to negative consequences for couple members. The present study examined whether non-harmonious opportunities were associated with support provider's and recipient's behavior, perceived partner support, and goal outcomes. We further examined whether these effects were moderated by attachment styles. Findings from two experimental (n.sub.1= 296, n.sub.2= 117) and one dyadic daily diary (n.sub.3= 267) showed how having non-harmonious goals lead to problematic goal pursuit. Partners are less likely to behave positively toward the support provider, provide partner support, view their partners as supportive, and report less commitment to partners, and make less goal progress when goal non-harmony is present. Importantly, we did not find moderation effects of attachment styles for these processes. The findings highlight the importance of managing goal non-harmony in couples., Author(s): Laura M. Vowels [sup.1] [sup.2] , Katherine B. Carnelley [sup.1] , Madoka Kumashiro [sup.3] , Angela C. Rowe [sup.4] Author Affiliations: (1) grid.5491.9, 0000 0004 1936 9297, School of [...]

Remote sensing radars from air- and spaceborne platforms provide critical observations of clouds to estimate precipitation rates across the globe. Capability of these radars to detect changes in precipitation properties is advanced by Doppler measurements of particle fall speed. Within mixed-phase clouds, precipitation mass and its fall characteristics are especially sensitive to the effects of riming. In this study, we quantified these effects and investigated the distinction of riming from aggregation in Doppler radar vertical profiles using quasi-idealized particle-based model simulations. Observational constraints of a control simulation were determined from airborne in situ and remote sensing measurements collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) for a wintry-mixed precipitation event over the northeast United States on 04 February 2022. From the upper boundary of a one-dimensional column, particle evolution was simulated through vapor deposition, aggregation, and riming processes, producing realistic Doppler radar profiles. Despite a modest observed amount of supercooled liquid water (0.05 g m-3), riming accounted for 55% of the ice-phase precipitation mass, cumulatively increasing reflectivity by 6.1 dB and Doppler velocity by 0.9 m s-1. Independent evaluation of process-based sensitivities showed that while radar reflectivity is comparably sensitive to either riming- or aggregation-based particle morphology, the Doppler velocity profile is uniquely sensitive to particle density changes during riming. Thus, Doppler velocity profiles advance the diagnosis of riming as a dominant microphysical process in stratiform clouds from single-wavelength radars, which has implications for quantitative constraints of particle properties in remote sensing applications. [ABSTRACT FROM AUTHOR]

This paper introduces an innovative microscopy analysis methodology to preserve in situ non-soluble particles within hailstones using a protective porous plastic coating, overcoming previous limitations related to melting the hailstone sample. The method is composed of two techniques: trapping non-soluble particles beneath a plastic coat by using the adapted sublimation technique and then analyzing the particles individually with both Confocal Laser Scanning Microscopy (CLSM) and Scanning Electron Microscopy with Energy-Dispersive Spectroscopy (SEM-EDS). CLSM provides insights into physical attributes like particle size and surface topography, enhancing understanding of ice nucleation. SEM-EDS complements CLSM by offering detailed information on individual particle elemental chemistry, enabling classification based on composition. Strategies to reduce background noise from glass substrates during EDS spectral analysis are proposed. By combining powerful, high resolution microscopy techniques, this methodology provides valuable data on hailstone composition and properties. This information can give insights into hail developmental processes by enhancing our understanding of the role of atmospheric particles. [ABSTRACT FROM AUTHOR]

This paper introduces an innovative microscopy analysis methodology to preserve in situ non-soluble particles within hailstones using a protective porous plastic coating, overcoming previous limitations related to melting the hailstone sample. The method is composed of two techniques: trapping non-soluble particles beneath a plastic coat by using the adapted sublimation technique and then analyzing the particles individually with both Confocal Laser Scanning Microscopy (CLSM) and Scanning Electron Microscopy with Energy-Dispersive Spectroscopy (SEM-EDS). CLSM provides insights into physical attributes like particle size and surface topography, enhancing understanding of ice nucleation. SEM-EDS complements CLSM by offering detailed information on individual particle elemental chemistry, enabling classification based on composition. Strategies to reduce background noise from glass substrates during EDS spectral analysis are proposed. By combining powerful, high resolution microscopy techniques, this methodology provides valuable data on hailstone composition and properties. This information can give insights into hail developmental processes by enhancing our understanding of the role of atmospheric particles. [ABSTRACT FROM AUTHOR]

This is the first meta-analysis to synthesize the literature on insecure attachment and negative attribution bias (NAB) from both developmental and social/personality attachment traditions. This meta-analysis is important because extant studies report inconsistent associations, making it difficult to draw conclusions about the nature of these associations. Based on 41 samples (N = 8,727) from 32 articles, we specify and compare the effect sizes of these associations across studies. Results confirmed positive associations between NAB and anxious and avoidant attachment dimensions and an insecure composite, with a medium effect size. Correlations were moderated by age group, type of attachment measurement, and cultural background. Our findings advance knowledge and build on attachment and attribution theories, reconcile mixed findings, and inform the development of NAB interventions. Important gaps in the literature are revealed that will inspire future research. [ABSTRACT FROM AUTHOR]