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Recent theory conceptualizes emotion regulation as occurring across three stages: (a) identifying the need to regulate, (b) selecting a strategy, and (c) implementing that strategy to modify emotions. Yet, measurement of emotion regulation has not kept pace with these theoretical advances. In particular, widely used global self-report questionnaires are often assumed to index people's typical strategy selection tendencies. However, it is unclear how well global self-reports capture individual differences in strategy selection and/or whether they may also index other emotion regulation stages. To address this issue, we examined how global self-report measures correspond with the three stages of emotion regulation as modeled using daily life data. We analyzed data from nine daily diary and experience sampling studies (total N = 1,097), in which participants provided daily and global self-reports of cognitive reappraisal, expressive suppression, and rumination. We found only weak-to-moderate correlations between global self-reports and average daily self-reports of each regulation strategy (indexing strategy selection). Global self-reports also correlated with individual differences in the degree to which (a) preceding affect experience predicted regulation strategies (representing the identification stage), and (b) regulation strategies predicted subsequent changes in affective experience (representing the implementation stage). Our findings suggest that global self-report measures of reappraisal, suppression, and rumination may not strongly and uniquely correlate with individual differences in daily selection of these strategies. Moreover, global self-report measures may also index individual differences in the perceived need to regulate, and the affective consequences of regulation in daily life. (PsycInfo Database Record (c) 2023 APA, all rights reserved). ispartof: Emotion vol:23 issue:2 pages:357-374 ispartof: location:United States status: published

Social interaction and loneliness have received much research interest. However, the direction of their relationship is unclear—does social interaction shape loneliness, or does loneliness shape willingness to interact? We explored dynamics of these social experiences under exceptional circumstances: COVID-19 lockdowns, which were necessary for public health but impacted people’s social lives. Specifically, we investigated the relationship between social interaction and loneliness in and out of lockdown in Australia. We used experience sampling methodology to follow 233 people across one week (Mage=30; 8,495 surveys) in a period that spanned one of the longest lockdowns in the world. While loneliness did not predict subsequent social interaction, having a social interaction predicted lower subsequent loneliness, particularly in (vs. out of) lockdown. These findings suggest social interactions may limit loneliness, especially during physical isolation. In short, times when we are apart from others may be times we benefit from interacting with them most.

Emotion regulation is inherently dynamic, unfolding iteratively over time and in reciprocal relation with other psychological processes. This makes emotion regulation a prime candidate for study using daily life methods--also known as ambulatory assessment or intensive longitudinal methods--which involve frequent active (e.g., via self-report) or passive (e.g., via sensors) sampling of experience, context, behavior, or physiology over time in naturalistic settings. In this chapter, we focus on the application of active self-report methods—i.e., ecological momentary assessment (EMA), the experience sampling method (ESM), and daily diaries—to the study of emotion regulation processes in daily life, which have grown rapidly in popularity over recent years. We hope to help readers navigate this burgeoning literature. We start with a brief overview of the “nuts and bolts” of using daily life methods to study emotion regulation. Next, we turn to motivating why researchers should bother using these methods by highlighting their key strengths. We then provide an overview of three key research questions that have been addressed using these methods, including empirical examples. Next, we propose a unified approach to jointly addressing these research questions using daily life data. And we end with a brief discussion of some challenges facing researchers investigating emotion regulation in daily life.

Our environment is in constant flux, and in response, our emotions change dynamically (Kuppens & Verduyn, 2017). Thus, when seeking to influence our emotions, we must also dynamically tune our emotion-regulation efforts. This means that successful regulation does not involve merely using particular adaptive strategies, but rather, flexibly picking the right strategy to suit ever-changing situational demands (Bonanno & Burton, 2013). This means that emotion regulation researchers must understand flexibility, often defined as systematic variation in emotion regulation processes in synchrony with the context (Aldao et al., 2015). In this chapter, we first discuss variability as a precursor to flexibility, then introduce the components of emotion regulation flexibility, and finally discuss challenges and future research directions.

Research that helps people change their behavior has the potential to improve the quality of lives, but it is too often approached in a way that divorces behavior from the people who need to enact it. In this paper, we propose a personality-informed approach to classifying behavior-change problems and designing interventions to address them. In particular, we argue that interventions will be most effective when they target the appropriate psychological process given the disposition of the participant and the desired duration of change. Considering these dimensions can help to reveal the differences among common types of behavior-change problems, and it can guide decisions about what kinds of intervention solutions will most effectively solve them. We review key concepts and findings from the personality literature that can help us understand the dynamic nature of dispositions and to identify the psychological processes that best explain both short-term variance in behavior and long-term development of personality. Drawing on this literature, we argue that different types of behavior-change problems require different forms of “trait regulation,” and we offer a series of propositions to be evaluated as potential guides for the design of intervention strategies to address them.

Adopting a detached perspective—known as distancing—while reflecting on stressors can facilitate emotional recovery. Researchers have theorized that distancing works by enabling reappraisals of negative events, yet few studies have investigated specifically how distancing impacts stressor appraisals. In this experiment, we investigated how participants’ (N=355) emotional experience and appraisals of an interpersonal conflict differed depending on whether they reflected on the event from a linguistically immersed (first-person) or distanced (second/third-person) perspective. Partly replicating previous findings, distanced reflection predicted increases in positive affect, but not reductions in negative affect, relative to immersed reflection. Linguistic distancing also predicted increases in motivational congruence appraisals (i.e., perceived advantageousness of the event), but did not influence other appraisal dimensions. We discuss how linguistic distancing may facilitate emotional recovery by illuminating the benefits of stressful experiences, enabling people to “see the good in the bad.”

Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdowns (i.e., stay-at-home orders) with their potential mental health costs. Yet, several years into the pandemic, policy makers lack solid evidence about the toll of lockdowns on daily emotional functioning. Using data from two intensive longitudinal studies conducted in Australia in 2021, we compared the intensity, persistence, and regulation of emotions on days in and out of lockdown. Participants (N = 441, observations = 14,511) completed a 7-day study either entirely in lockdown, entirely out of lockdown, or both in and out of lockdown. We assessed emotions in general (Dataset 1) and in the context of social interactions (Dataset 2). Lockdowns took an emotional toll, but this toll was relatively mild: In lockdown, people experienced slightly more negative and less positive emotion; returned to a mildly negative emotional state more quickly; and used low-effort emotion regulation strategies (i.e., distraction). There are three interpretations for our findings, which are not mutually exclusive. First, people may be relatively resilient to the emotional challenges posed by repeated lockdowns. Second, lockdowns may not compound the emotional challenges of the pandemic. Third, because we found effects even in a mostly childless and well-educated sample, lockdowns may take a greater emotional toll in samples with less pandemic privilege. Indeed, the high level of pandemic privilege of our sample limits the generalizability of our findings (e.g., to people with caregiving roles).

The synthesis of novel organic prototypes combining different functionalities is key to achieve operational elements for applications in organic electronics. Here we set the stage towards individually addressable magneto-optical transducers by the on-surface synthesis of optically active manganese-phthalocyanine derivatives (MnPc) obtained directly on a metallic substrate. We created these 2D nanostructures under ultra-high vacuum conditions with atomic precision starting from a simple phthalonitrile precursor with reversible photo-induced reactivity in solution. These precursors maintain their integrity after powder sublimation and coordinate with the Mn ions into tetrameric complexes and then transform into MnPcs on Ag(111) after a cyclotetramerization reaction. Using scanning tunnelling microscopy and spectroscopy together with DFT calculations, we identify the isomeric configuration of two bi-stable structures and show that it is possible to switch them reversibly by mechanical manipulation. Moreover, the robust magnetic moment brought by the central Mn ion provides a feasible pathway towards magneto-optical transducer fabrication. This work should trigger further research confirming such magneto-optical effects in MnPcs both on surfaces and in liquid environments., We gratefully acknowledge financial support from the Spanish Ministries of Economy, Industry and Competitiveness (MINECO, grants MAT2016-78293-C6-4-R and MAT2016-78293-C6-6) and of Science and Innovation (MICINN, grant no. PID2019-107338RB-C62, PID2019-107338RB-C64, PID2019-107338RB-C66/AEI/10.13039/501100011033 and RED2018-102833-T), the regional Governments of Aragon (E13-20R and E12-20R), the Xunta de Galicia (Centro de Investigación de Galicia acreditation 2019–2022, ED431G 2019/03), the Dept. of Education of the Basque Government and UPV/EHU (grant no. IT1246-19), the Spanish Research Agency (AEI), the European Regional Development Fund (ERDF) under the program Interreg V-A España-Francia-Andorra (contract no. EFA194/16 TNSI) and the European Union through Horizon 2020 (FET-Open project SPRING grant. no. 863098)., We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI).

Real-world emotions are often more vivid, personally meaningful, and consequential than those evoked in the lab. Therefore, studying emotions in daily life is essential to test theories, discover new phenomena, and understand healthy emotional functioning; in short, to move affective science forward. The past decades have seen a surge of research using daily diary, experience sampling, or ecological momentary assessment methods to study emotional phenomena in daily life. In this paper, we will share some of the insights we have gained from our collective experience applying such daily life methods to study everyday affective processes. We highlight what we see as important considerations and caveats involved in using these methods and formulate recommendations to improve their use in future research. These insights focus on the importance of (i) theory and hypothesis-testing; (ii) measurement; (iii) timescale; and (iv) context, when studying emotions in their natural habitat. ispartof: Affective Science vol:3 issue:2 pages:505-515 ispartof: location:Switzerland status: published

People often think about how they might feel tomorrow or next week. Research on affective forecasting suggests people overestimate their future feelings, but it remains unknown whether this pattern extends to everyday affective forecasts. We aimed to test whether people can accurately forecast their daily and weekly affect, and whether accuracy is associated with emotional benefits. At baseline, participants (N=209) forecasted how they would feel over the next week. Each evening for 7-days, participants forecasted tomorrow’s affect, and rated today’s affect, emotion-focused coping, and life satisfaction. Participants were relatively accurate in predicting tomorrow’s affect but showed evidence of absolute inaccuracy by overestimating their exact affect level. Forecasting accuracy did not predict emotion-focused coping or daily life satisfaction, but experienced affect did. Thus, people may be better off focusing on managing their emotions when they arise, rather than trying to manage them in advance.

Background First-episode psychosis typically has its onset during adolescence. Prolonged deficits in social functioning are common in FEP and yet often variance in functioning remains unexplained. Developmental psychology frameworks may be useful for understanding these deficits. Eudaimonic well-being (EWB), or positive self-development, is a developmental psychology construct that has been shown to predict mental health outcomes across multiple populations but has not been systematically reviewed in FEP. Aim Our aim was to systematically review the evidence for: the predictors of EWB, the effectiveness of EWB interventions and to examine the quality of this research in FEP. Methods Selected studies measured either composite or components of EWB. A systematic search produced 2876 abstracts and 122 articles were identified for full screening which produced 17 final papers with 2459 participants. Results Studies comprised six RCTs, eight prospective follow-up studies and three case-controlled studies. Self-esteem and self-efficacy were the most commonly measured components. A meta-analysis of RCTs revealed no statistically significant effect of interventions on self-esteem. The extant research indicates that character strengths may be associated with higher EWB. Self-esteem may be lower in FEP compared with age matched controls but not different from ultra-high risk patients. Self-esteem appears to be associated with poorer insight and improved therapeutic alliance. Significant problems with both external and internal validity of reviewed studies were apparent. Conclusions The hypotheses that lowered EWB is a risk factor for both onset of FEP and for poorer functional outcomes warrant further investigation. There is currently no evidence for effective interventions for EWB in FEP.

The ability to exert control over emotions, termed emotion regulation (ER), is vital for everyday functioning. ER success may be influenced by processes relating to the anticipation (prior to active regulation) and implementation (during active regulation) of ER strategy use. We investigated whether brain activity patterns recorded using electroencephalography (EEG) during the first second of anticipation and implementation of two ER strategies—distraction and reappraisal—were related to regulation success. Participants viewed negative images that evoked disgust and sadness. Before each image was presented, participants were cued to either passively view the image or decrease their emotional responses. ER success scores were calculated from subsequent selfreported disgust and sadness ratings. Using multivariate support vector regression, ER success scores were predicted from spatiotemporal patterns of event-related potentials during the first second of anticipation and implementation phases of each ER strategy. For both sadness and disgust, reappraisal success could be predicted during anticipation, while distraction success could be predicted during implementation. These findings suggest that early anticipatory cognitive processes are a key determinant of reappraisal success, but may not be similarly important for distraction. This may be because reappraisal is more cognitively demanding than distraction, requiring enhanced preparation of mental resources.

People routinely regulate their emotions in order to function more effectively at work, to behave more appropriately in social situations, or simply to feel better. Recently, researchers have begun to examine how people shape their affective states using digital technologies, such as smartphones. In this article, we discuss the emergence of digital emotion regulation, both as a widespread behavioral phenomenon and a new cross-disciplinary field of research. This field bridges two largely distinct areas of enquiry: (a) psychological research into how and why people regulate their emotions, which has yet to systematically explore the role of digital technology, and (b) computing research into how digital technologies impact users’ emotions, which has yet to integrate psychological theories of emotion regulation. We argue that bringing these two areas into better contact will benefit both and will facilitate a deeper understanding of the nature and significance of digital emotion regulation.

Neuroticism is one of the major traits describing human personality, and a predictor of mental and physical disorders with profound public health significance. Individual differences in emotional variability are thought to reflect the core of neuroticism. However, the empirical relation between emotional variability and neuroticism may be partially the result of a measurement artifact reflecting neuroticism's relation with higher mean levels-rather than greater variability-of negative emotion. When emotional intensity is measured using bounded scales, there is a dependency between variability and mean levels: at low (or high) intensity, it is impossible to demonstrate high variability. As neuroticism is positively associated with mean levels of negative emotion, this may account for the relation between neuroticism and emotional variability. In a metaanalysis of 11 studies (N = 1,205 participants; 83,411 observations), we tested whether the association between neuroticism and negative emotional variability was clouded by a dependency between variability and the mean. We found a medium-sized positive association between neuroticism and negative emotional variability, but, when using a relative variability index to correct for mean negative emotion, this association disappeared. This indicated that neuroticism was associated with experiencing more intense, but not more variable, negative emotions. Our findings call into question theory, measurement scales, and data suggesting that emotional variability is central to neuroticism. In doing so, they provide a revisionary perspective for understanding how this individual difference may predispose to mental and physical disorders. ispartof: Proceedings Of The National Academy Of Sciences Of The United States Of America vol:117 issue:17 pages:9270-9276 ispartof: location:United States status: published

While emotion regulation often happens in the presence of others, little is known about how social context shapes regulatory efforts and outcomes. One key element of the social context is social support. In two experience sampling studies (Ns = 179 and 123), we examined how the use and affective consequences of two fundamentally social emotion-regulation strategies—social sharing and expressive suppression—vary as a function of perceived social support. Across both studies, we found evidence that social support was associated with variation in people’s use of these strategies, such that when people perceived their environments as being higher (vs. lower) in social support, they engaged in more sharing and less suppression. However, we found only limited and inconsistent support for context-dependent affective outcomes of suppression and sharing: suppression was associated with better affective consequences in the context of higher perceived social support in Study 1, but this effect did not replicate in Study 2. Taken together, these findings suggest that the use of social emotion-regulation strategies may depend on contextual variability in social support, whereas their effectiveness does not. Future research is needed to better understand the circumstances in which context-dependent use of emotion regulation may have emotional benefits, accounting for personal, situational, and cultural factors.

The global pandemic and the uncertainty if and when life will return to normality have motivated a series of studies on human mental health. This research has elicited evidence for increasing numbers of anxiety, depression, and overall impaired mental well-being. But, the global COVID-19 pandemic has also created new opportunities for research into quantifying human emotions: remotely, contactless, in everyday life. The ubiquitous computing community has long been at the forefront of developing, testing, and building user-facing systems that aim at quantifying human emotion. However, rather than aiming at more accurate sensing algorithms, it is time to critically evaluate whether it is actually possible and in what ways it could be beneficial for technologies to be able to detect user emotions. In this workshop, we bring together experts from the fields of Ubiquitous Computing, Human-Computer Interaction, and Psychology to - long-overdue - merge their expertise and ask the fundamental questions: how do we make sense of emotion-sensing, can and should we quantify human emotions?

A prerequisite to characterize magnetic materials is the capability to describe systems containing unpaired electrons. In this study, we benchmark the one-shot GW (G0W0) on top of different unrestricted mean-field solutions for open-shell molecules using Dunning's correlation-consistent basis sets expanded in terms of Gaussian functions. We find that the G0W0 correction to hybrid functionals provides reasonably accurate results for the ionization energies of open-shell systems when compared to those obtained from high-level ab initio methods. Moreover, the quality of the G0W0 exchange–correlation approximation is evaluated by the discrepancy between the ionization energy of the neutral molecules and the electron affinity of the corresponding cations. Furthermore, we assess the capability of the GW to reproduce the correct energy ordering of molecular spin–orbitals. To such an aim, we thoroughly discuss three open-shell molecules CN, NH2, and O2, for which approximate functionals fail to correctly capture the single-electron spectrum. Particularly, we demonstrate that the overestimation of the exchange energy in the studied spin–orbitals is reduced by the GW dynamic correlation term, restoring the molecular orbital ordering. Interestingly, we find that deviations of the exchange and correlation energies, in comparison with our ab initio reference, can be very different for molecular orbitals with different symmetry, e.g. σ and π-type orbitals., Authors acknowledge support from Spanish Agencia Estatal de Investigación (Grant Nos. PID2019-107338RB-C66, PID2019-109555GB-I00 and RTC-2016-5681-7), and the Eusko Jaurlaritza and UPV/EHU (Grant Nos. PIBA19-0004 and IT1246-19). DSP also acknowledges support from the European Union (EU) through Horizon 2020 (FET-Open project SPRING Grant No. 863098).

Research that helps people change their behavior has the potential to improve the quality of lives, but it is too often approached in a way that divorces behavior from the people who need to enact it. In this paper, we propose a personality-informed approach to classifying behavior-change problems and designing interventions to address them. In particular, we argue that interventions will be most effective when they target the appropriate psychological process given the disposition of the participant and the desired duration of change. Considering these dimensions can help to reveal the differences among common types of behavior-change problems, and it can guide decisions about what kinds of intervention solutions will most effectively solve them. We review key concepts and findings from the personality literature that can help us understand the dynamic nature of dispositions and to identify the psychological processes that best explain both short-term variance in behavior and long-term development of personality. Drawing on this literature, we argue that different types of behavior-change problems require different forms of ‘trait regulation,’ and we offer a series of propositions to be evaluated as potential guides for the design of intervention strategies to address them.

This study aimed to determine whether, following two years of specialized support for first-episode psychosis, the addition of a new digital intervention (Horyzons) to treatment as usual (TAU) for 18 months was more effective than 18 months of TAU alone. We conducted a single-blind randomized controlled trial. Participants were people with first-episode psychosis (N=170), aged 16-27 years, in clinical remission and nearing discharge from a specialized service. They were randomly assigned (1:1) to receive Horyzons plus TAU (N=86) or TAU alone (N=84) between October 2013 and January 2017. Horyzons is a novel, comprehensive digital platform merging: peer-to-peer social networking; theory-driven and evidence-informed therapeutic interventions targeting social functioning, vocational recovery and relapse prevention; expert clinician and vocational support; and peer support and moderation. TAU involved transfer to primary or tertiary community mental health services. The primary outcome was social functioning at 18 months as measured by the Personal and Social Performance Scale (PSP). Forty-seven participants (55.5%) in the Horyzons plus TAU group logged on for at least 6 months, and 40 (47.0%) for at least 9 months. Social functioning remained high and stable in both groups from baseline to 18-month follow-up, with no evidence of significant between-group differences (PSP mean difference: -0.29, 95% CI: -4.20 to 3.63, p=0.77). Participants in the Horyzons group had a 5.5 times greater increase in their odds to find employment or enroll in education compared with those in TAU (odds ratio, OR=5.55, 95% CI: 1.09-28.23, p=0.04), with evidence of a dose-response effect. Moreover, participants in TAU were twice as likely to visit emergency services compared to those in the Horyzons group (39% vs. 19%; OR=0.31, 95% CI: 0.11-0.86, p=0.03, number needed to treat, NNT=5). There was a non-significant trend for lower hospitalizations due to psychosis in the Horyzons group vs. TAU (13% vs. 27%; OR=0.36, 95% CI: 0.11-1.08, p=0.07, NNT=7). So, although we did not find a significant effect of Horyzons on social functioning compared with TAU, the intervention was effective in improving vocational or educational attainment, a core component of social recovery, and in reducing usage of hospital emergency services, a key aim of specialized first-episode psychosis services. Horyzons holds significant promise as an engaging and sustainable intervention to provide effective vocational and relapse prevention support for young people with first-episode psychosis beyond specialist services.

This article is part of the JCP Special Topic on Electronic Structure Software., A review of the present status, recent enhancements, and applicability of the SIESTA program is presented. Since its debut in the mid-1990s, SIESTA’s flexibility, efficiency, and free distribution have given advanced materials simulation capabilities to many groups worldwide. The core methodological scheme of SIESTA combines finite-support pseudo-atomic orbitals as basis sets, norm-conserving pseudopotentials, and a realspace grid for the representation of charge density and potentials and the computation of their associated matrix elements. Here, we describe the more recent implementations on top of that core scheme, which include full spin–orbit interaction, non-repeated and multiple-contact ballistic electron transport, density functional theory (DFT)+U and hybrid functionals, time-dependent DFT, novel reduced-scaling solvers, density-functional perturbation theory, efficient van der Waals non-local density functionals, and enhanced molecular-dynamics options. In addition, a substantial effort has been made in enhancing interoperability and interfacing with other codes and utilities, such as WANNIER90 and the second-principles modeling it can be used for, an AiiDA plugin for workflow automatization, interface to Lua for steering SIESTA runs, and various post-processing utilities. SIESTA has also been engaged in the Electronic Structure Library effort from its inception, which has allowed the sharing of various low-level libraries, as well as data standards and support for them, particularly the PSeudopotential Markup Language definition and library for transferable pseudopotentials, and the interface to the ELectronic Structure Infrastructure library of solvers. Code sharing is made easier by the new open-source licensing model of the program. This review also presents examples of application of the capabilities of the code, as well as a view of on-going and future developments., Siesta development was historically supported by different Spanish National Plan projects (Project Nos. MEC-DGES-PB95-0202, MCyT-BFM2000-1312, MEC-BFM2003-03372, FIS2006-12117, FIS2009-12721, FIS2012-37549, FIS2015-64886-P, and RTC-2016-5681-7), the latter one together with Simune Atomistics Ltd. We are thankful for financial support from the Spanish Ministry of Science, Innovation and Universities through Grant No. PGC2018-096955-B. We acknowledge the Severo Ochoa Center of Excellence Program [Grant Nos. SEV-2015-0496 (ICMAB) and SEV-2017-0706 (ICN2)], the GenCat (Grant No. 2017SGR1506), and the European Union MaX Center of Excellence (EU-H2020 Grant No. 824143). P.G.-F. acknowledges support from Ramón y Cajal (Grant No. RyC-2013-12515). J.I.C. acknowledges Grant No. RTI2018-097895-B-C41. R.C. acknowledges the European Union’s Horizon 2020 Research and Innovation Program under Marie Skłodoswka-Curie Grant Agreement No. 665919. D.S.P, P.K., and P.B. acknowledge Grant No. MAT2016-78293-C6, FET-Open No. 863098, and UPV-EHU Grant No. IT1246-19. V. W. Yu was supported by a MolSSI Fellowship (U.S. NSF Award No. 1547580), and V.B. and V.W.Y. were supported by the ELSI Development by the NSF (Award No. 1450280).

Wenzel and Kubiak (1) reanalyze our data (2) and conclude that 1) there is overlap between the relative SD (RSD) (3) and mean of negative emotion and 2) after controlling for this overlap, the RSD weakly but significantly predicts neuroticism. We question both points and note that these findings leave our conclusions unchanged. Overall, the mean and RSD of negative emotion are unrelated, but Wenzel and Kubiak (1) find significant between-study variance in this relationship. They also show that, in studies with a stronger RSD−mean association, the RSD is more strongly related to neuroticism (although n = 11 studies). Thus, they argue, we do not account for the RSD−mean overlap. This argument … [↵][1]2To whom correspondence may be addressed. Email: elise.kalokerinos{at}unimelb.edu.au. [1]: #xref-corresp-1-1

Objective. To evaluate a process developed to support research by fourth-year student pharmacists enrolled in an advanced pharmacy practice experience at a health system affiliated with a school of pharmacy. Methods. In 2017, clinical, non-tenure track faculty transitioned from facilitating a fourth-year research elective to implementing a new student research process that matches students to research preceptors at the beginning of the academic year and provides training and resources to them throughout the year. This pre-post study evaluated student pharmacist research participation, dissemination, and placement into a residency or job position at the time of graduation, and then compared data for the three years before the new process was implemented to data for the three years after implementation. Results. Thirty-three fourth-year students assigned to the health system graduated from 2015 to 2017, and 31 graduated from 2018 to 2020. The percentage of students in each cohort who completed research projects increased significantly (48.5% vs 87.1%), the number of projects increased significantly (18 vs 35), the number of presentations increased significantly (29 vs 63), and the number of publications increased significantly (9 vs 20). The percentage of research students who pursued postgraduate training increased (68.8% vs 96.3%), as did their rate of placement into training programs (81.8% vs 92.3%). Of those students who did not participate in research, the percent who pursued training also increased (17.6% vs 75%), but the rate of placement remained the same (66.7%). Conclusion. Matching fourth-year student pharmacists to research preceptors at the beginning of the academic year and providing them with training and resources throughout the year was associated with increased research productivity.

This article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with a causal logic and pragmatic concerns regarding modeled dynamics and hypothesis testing. We examine three “static” models that do not incorporate temporal dynamics: random- and fixed-effects models that estimate contemporaneous relationships; and latent curve models. We then describe “dynamic” models that incorporate temporal dynamics in the form of lagged effects: cross-lagged models estimated in a structural equation model (SEM) or multilevel model (MLM) framework; Arellano-Bond dynamic panel data methods; and autoregressive latent trajectory models. We describe the implications of overlooking temporal dynamics in static models and show how even popular cross-lagged models fail to control for stable factors over time. We also show that Arellano-Bond and autoregressive latent trajectory models have various shortcomings. By contrasting these approaches, we clarify the benefits and drawbacks of common methods for modeling panel data, including the GCLM approach we propose. We conclude with a discussion of issues regarding causal inference, including difficulties in separating different types of time-invariant and time-varying effects over time. Australian Research Council https://doi.org/10.13039/501100000923

his is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Starting with a cross-lagged approach, this paper builds a general cross-lagged panel model (GCLM) with parameters to account for stable factors while increasing the range of dynamic processes that can be modeled. We illustrate the GCLM by examining the relationship between national income and subjective well-being (SWB), showing how to examine hypotheses about short-run (via Granger-Sims tests) versus long-run effects (via impulse responses). When controlling for stable factors, we find no short-run or long-run effects among these variables, showing national SWB to be relatively stable, whereas income is less so. Our second paper addresses the differences between the GCLM and other methods. Online Supplementary Materials offer an Excel file automating GCLM input for Mplus (with an example also for Lavaan in R) and analyses using additional data sets and all program input/output. We also offer an introductory GCLM presentation at https://youtu.be/tHnnaRNPbXs. We conclude with a discussion of issues surrounding causal inference. All authors: Michael J. Zyphur, Paul D. Allison, Louis Tay, Manuel C. Voelkle, Kristopher J. Preacher, Zhen Zhang, Ellen L. Hamaker, Ali Shamsollahi, Dean C. Pierides, Peter Koval, Ed Diener

In this study, we examine how daily life fluctuations in positive affect (PA) and negative afect (NA) relate to mixed emotions—that is, simultaneous positive and negative feelings. We utilised three experience sampling studies (total N = 275), in which participants reported their affect 10 times each day for up to 14 days. Because people generally experience fairly stable moderate levels of PA in daily life, we proposed that mixed emotions would typically occur when NA increases and overlaps with, but does not entirely eliminate, PA. Accordingly, within individuals, we found that mixed emotions in daily life were more strongly predicted by changes in NA and the occurrence of negative events than by changes in PA and positive events. At the between–person level, individuals with more variable NA, more stable PA, and higher trait Neuroticism scores experienced higher average levels of mixed emotions. Further, we found evidence that the average magnitude of NA increases may partially mediate the association between Neuroticism and mixed emotions. We also found that positive predictors of mixed emotions are negative predictors of individuals’ within–person PA/NA correlations—that is, affective synchrony. Our findings elucidate trait predictors and affective dynamics of daily life mixed emotions, which appear closely intertwined with NA variability. © 2020 European Association of Personality Psychology

Emotion regulation (ER) repertoire-the range of different ER strategies an individual utilizes across situations-is assumed to enable more adaptive ER and greater well-being. ER repertoire has been operationalized by a quantitative index (sum of ER strategies across situations) or by applying a person-centered approach to global self-reports of dispositional ER. We aimed to assess ER repertoire in daily life by using an experience sampling methodology (ESM) and a person-centered approach that could account for nested data. We used multilevel latent profile analyses of ESM data (N = 179, 9-10 prompts per day over 21 days) to (a) group the occasions into latent profiles of momentary ER strategies, (b) group individuals whose distributions of ER profiles differed across occasions into latent classes, and (c) examine well-being correlates of class membership at the person level. At the occasion level, we identified nine ER profiles that differed in degree of use (e.g., no use of any vs. strong use of all strategies) and in specific combinations of strategies (e.g., situation selection and acceptance vs. suppression and ignoring). At the person level, we identified 5 classes of individuals differing in the degree to which they used various momentary ER profiles versus one predominant profile across situations. Well-being was highest for individuals who used multiple ER profiles of active strategies and lowest for individuals who used ER profiles focused on suppression. Hence, both ER repertoire width and the specific make-up of the ER repertoire were relevant for the relation between ER repertoire and well-being. (PsycINFO Database Record (c) 2019 APA, all rights reserved). ispartof: Emotion vol:20 issue:8 pages:1462-1474 ispartof: location:United States status: published

IntroductionSpecialised early intervention services have demonstrated improved outcomes in first-episode psychosis (FEP); however, clinical gains may not be sustained after patients are transferred to regular care. Moreover, many patients with FEP remain socially isolated with poor functional outcomes. To address this, our multidisciplinary team has developed a moderated online social media therapy (HORYZONS) designed to enhance social functioning and maintain clinical gains from specialist FEP services. HORYZONS merges: (1) peer-to-peer social networking; (2) tailored therapeutic interventions; (3) expert and peer-moderation; and (4) new models of psychological therapy (strengths and mindfulness-based interventions) targeting social functioning. The aim of this trial is to determine whether following 2 years of specialised support and 18-month online social media-based intervention (HORYZONS) is superior to 18 months of regular care.Methods and analysisThis study is a single-blind randomised controlled trial. The treatment conditions include HORYZONS plus treatment as usual (TAU) or TAU alone. We recruited 170 young people with FEP, aged 16–27 years, in clinical remission and nearing discharge from Early Psychosis Prevention and Intervention Centre, Melbourne. The study includes four assessment time points, namely, baseline, 6-month, 12-month and 18-month follow-up. The study is due for completion in July 2018 and included a 40-month recruitment period and an 18-month treatment phase. The primary outcome is social functioning at 18 months. Secondary outcome measures include rate of hospital admissions, cost-effectiveness, vocational status, depression, social support, loneliness, self-esteem, self-efficacy, anxiety, psychological well-being, satisfaction with life, quality of life, positive and negative psychotic symptoms and substance use. Social functioning will be also assessed in real time through our Smartphone Ecological Momentary Assessment tool.Ethics and disseminationMelbourne Health Human Research Ethics Committee (2013.146) provided ethics approval for this study. Findings will be made available through scientific journals and forums and to the public via social media and the Orygen website.Trial registration numberACTRN12614000009617; Pre-results.

The use of atomic orbitals in Hedin's GW approximation provides, in principle, an inexpensive alternative to plane-wave basis sets, especially when modeling large molecules. However, benchmarking of the algorithms and basis sets is essential for a careful balance between cost and accuracy. In this paper, we present an implementation of the GW approximation using numerical atomic orbitals and a pseudopotential treatment of core electrons. The combination of a contour deformation technique with a one-shot extraction of quasiparticle energies provides an efficient scheme for many applications. The performance of the implementation with respect to the basis set convergence and the effect of the use of pseudopotentials has been tested for the 117 closed-shell molecules from the G2/97 test set and 24 larger acceptor molecules from another recently proposed test set. Moreover, to demonstrate the potential of our method, we compute the thermally averaged GW density of states of a large photochromic compound by sampling ab initio molecular dynamics trajectories at different temperatures. The computed thermal line widths indicate approximately twice as large electron-phonon couplings with GW than with standard DFT-GGA calculations. This is further confirmed using frozen-phonon calculations.

Antipsychotic medication has been the mainstay of treatment for psychotic illnesses for over 60 years. This has been associated with improvements in positive psychotic symptoms and a reduction in relapse rates. However, there has been little improvement in functional outcomes for people with psychosis. At the same time there is increasing evidence that medications contribute to life shortening metabolic and cardiovascular illnesses. There is also uncertainty as to the role played by antipsychotic medication in brain volume changes. Aim The primary aim of the study is, in a population of young people with first-episode psychosis, to compare functional outcomes between an antipsychotic dose reduction strategy with evidence-based intensive recovery treatment (EBIRT) group (DRS+) and an antipsychotic maintenance treatment with EBIRT group (AMTx+) at 24-months follow-up. Methods Our single-blind randomized controlled trial, within a specialist early psychosis treatment setting, will test the whether the DRS+ group leads to better vocational and social recovery than, the AMTx+ group over a 2-year period in 180 remitted first-episode psychosis patients. Additionally, we will examine the effect of DRS+ vs AMTx+ on physical health, brain volume and cognitive functioning. This study will also determine whether the group receiving DRS+ will be no worse off in terms of psychotic relapses over 2 years follow-up. Results This paper presents the protocol, rationale and hypotheses for this study which commenced recruitment in July 2017. Conclusion This study will provide evidence as to whether an antipsychotic dose-reduction recovery treatment leads to improved functioning and safer outcomes in first-episode psychosis patients. In addition, it will be the first-controlled experiment of the effect of exposure to antipsychotic maintenance treatment on brain volume changes in this population.

A recent experimental study of the energy losses of various ions in titanium nitride, in the low-energy range [M. A. Sortica, Sci. Rep. 9, 176 (2019)2045-232210.1038/s41598-018-36765-7], showed a striking departure of the measured values from those predicted by density functional theory. They suggested electron promotion in atomic collisions between dressed atoms as an explanation. In this Rapid Communication, we investigate the process of energy loss of slow ions in TiN using theoretical formulations that are based, on one side, on self-consistent models of nonlinear screening and quantum scattering theory, and on the other, on ab initio computations of the electron-density profile of titanium nitride. Two theoretical approaches are considered to determine the average energy transfer: One is based on the local-density approximation for the inhomogeneous electron gas corresponding to the calculated density of TiN, and the other is based on the Penn model for the convolution of the inhomogeneous electron-gas response based on a measured electron-loss function. Both approaches produce very similar results and are in remarkable agreement with the experimental data, indicating that the observed enhancement in the energy-loss values is due to the contribution of a range of electron densities in the TiN compound. Fil: Matias Da Silva, Flávio. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro | Universidad Nacional de Cuyo. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina Fil: Grande, P. L.. Universidade Federal do Rio Grande do Sul; Brasil Fil: Vos, M.. The Australian National University; Australia Fil: Koval, Peter. Donostia International Physics Center; España Fil: Koval, Natalia E.. Comisión de Investigaciones Científicas. Nanogune; España Fil: Arista, Nestor Ricardo. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro | Universidad Nacional de Cuyo. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro; Argentina

Naturalistic studies of emotional reactivity in depression have repeatedly found larger decreases in negative affect (NA) among depressed individuals in response to daily positive events. This so-called mood-brightening (MB) effect represents a theoretical and empirical oddity. The current study is a secondary analysis investigating whether the MB effect is moderated by spontaneous use of emotion regulation strategies, which have been implicated in the maintenance and modulation of NA in prior work. Participants (N = 95) representing a large spectrum of depressive symptom severity reported their experiences of NA and the occurrence of positive events in daily life over the course of seven days using the experience sampling method. Our findings replicate and build upon those of prior studies relating to the MB effect in the following ways: (1) we observed the MB effect for specific negative emotions of sadness, anger, anxiety; and (2) we found evidence that the MB effect is moderated by spontaneous use of rumination, distraction, and expressive suppression, which have been shown to enhance or dampen NA. The role of emotion regulation strategies in daily emotional reactivity to pleasant events is discussed. ispartof: Cognition and Emotion vol:33 issue:6 pages:1291-1301 ispartof: location:England status: published

Sexual objectification, particularly of young women, is highly prevalent in modern industrialized societies. Although there is plenty of experimental and cross-sectional research on objectification, prospective studies investigating the prevalence and psychological impact of objectifying events in daily life are scarce. We used ecological momentary assessment to track the occurrence of objectifying events over 1 week in the daily lives of young women (N = 81). Participants reported being targeted by a sexually objectifying event - most often the objectifying gaze - approximately once every 2 days and reported witnessing sexual objectification of others approximately 1.35 times per day. Further, multilevel linear regression analyses showed that being targeted by sexual objectification was associated with a substantial increase in state self-objectification. Overall, individual differences had little impact in moderating these effects.

Objective While in general arousal increases with positive or negative valence (a so-called V-shaped relation), there are large differences among individuals in how these two fundamental dimensions of affect are related in people's experience. In two studies, we examined two possible sources of this variation: personality and culture. Method In Study 1, participants (Belgian university students) recalled a recent event that was characterized by high or low valence or arousal and reported on their feelings and their personality in terms of the Five-Factor Model. In Study 2, participants from Canada, China/Hong Kong, Japan, Korea, and Spain reported on their feelings in a thin slice of time and on their personality. Results In Study 1, we replicated the V-shape as characterizing the relation between valence and arousal, and identified personality correlates of experiencing particular valence-arousal combinations. In Study 2, we documented how the V-shaped relation varied as a function of Western versus Eastern cultural background and personality. Conclusions The results showed that the steepness of the V-shaped relation between valence and arousal increases with Extraversion within cultures, and with a West-East distinction between cultures. Implications for the personality-emotion link and research on cultural differences in affect are discussed.

Affective instability, conceptualized as fluctuations in mood over time, has been related to ill-health and psychopathology. In this study, we examined the role of affective instability on daily pain outcomes in 70 patients with chronic pain (M-age = 49.7 years; 46 females) using an end-of-day diary. During a baseline phase, patients completed self-reported questionnaires of pain severity, pain duration, disability, depression, and anxiety. During a subsequent diary phase, patients filled out an electronic end-of-day diary over 14 consecutive days assessing daily levels of pain severity, disability, cognitive complaints, negative affect (NA) and positive affect. Affective instability was operationalized as the mean square of successive differences in daily mood (separately for NA and positive affect), which takes into account the size of affective changes over consecutive days. Results indicated that NA instability was positively associated with daily disability, beyond the effects of daily pain severity. Furthermore, NA instability moderated the relationship between daily pain severity and daily disability and the relationship between daily pain severity and daily cognitive complaints. Positive affect instability, however, showed to be unrelated to all outcomes. Current findings extend previous results and reveal the putative role of affective instability on pain-related outcomes and may yield important clinical implications. Indeed, they suggest that targeting NA instability by improving emotion regulation skills may be a strategy to diminish disability and cognitive complaints in patients with chronic pain.

Emotion differentiation, the ability to make fine-grained distinctions between emotional states, has mainly been studied as a trait. In this research, we examine within-person fluctuations in emotion differentiation and hypothesize that stress is a central factor in predicting these fluctuations. We predict that experiencing stress will result in lower levels of emotion differentiation. Using data from a 3-wave longitudinal experience sampling study, we examined the within-person fluctuations in the level of emotion differentiation across days and months and tested if these fluctuations related to changes in stress levels. On the day-level, we found that differentiation of negative emotions varied significantly within individuals, that high stress levels were associated with lower levels of emotion differentiation, and that stress on 1 day negatively predicted the level of differentiation of negative emotions on a next day (but not vice versa). On the wave-level, we found a concurrent, but not a prospective relationship between stress and emotion differentiation. These results are the first to directly demonstrate the role of stress in predicting fluctuations in emotion differentiation and have implications for our theoretical understanding of emotion differentiation, as well as for interventions. (PsycINFO Database Record ispartof: JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY vol:115 issue:2 pages:179-191 ispartof: location:United States status: published

People differ in the extent to which they experience positive (PA) and negative affect (NA) rather independently or as bipolar opposites. Here, we examine the proposition that the nature of the relation between positive and negative affect in a person's emotional experience is indicative of psychological well-being, in particular the experience of depressive symptoms, typically characterized by diminished positive affect (anhedonia) and increased negative affect (depressed mood). In three experience sampling studies, we examine how positive and negative affective states are related within people's emotional experience in daily life and how the degree of bipolarity of this relation is associated with depressive symptom severity. In Study 1 and 2, we show both concurrently and longitudinally that a stronger bipolar PA-NA relationship is associated with, and in fact is predicted by, higher depressive symptom severity, even after controlling for mean levels of positive and negative affect. In Study 3, we replicate these findings in a daily diary design, with the two conceptually related main symptoms of depression, sadness, and anhedonia, as specific manifestations of high NA and low PA, respectively. Across studies, additional analyses indicate these results are robust across different time scales and various PA and NA operationalizations and that affective bipolarity shows particular specificity toward depressive symptomatology, in comparison with anxiety symptoms. Together, these findings demonstrate that depressive symptoms involve stronger bipolarity between positive and negative affect, reflecting reduced emotional complexity and flexibility. (PsycINFO Database Record

Plasmonic gaps are known to produce nanoscale localization and enhancement of optical fields, providing small effective mode volumes of about a few hundred nm. Atomistic quantum calculations based on time-dependent density functional theory reveal the effect of subnanometric localization of electromagnetic fields due to the presence of atomic-scale features at the interfaces of plasmonic gaps. Using a classical model, we explain this as a nonresonant lightning rod effect at the atomic scale that produces an extra enhancement over that of the plasmonic background. The near-field distribution of atomic-scale hot spots around atomic features is robust against dynamical screening and spill-out effects and follows the potential landscape determined by the electron density around the atomic sites. A detailed comparison of the field distribution around atomic hot spots from full quantum atomistic calculations and from the local classical approach considering the geometrical profile of the atoms' electronic density validates the use of a classical framework to determine the effective mode volume in these extreme subnanometric optical cavities. This finding is of practical importance for the community of surface-enhanced molecular spectroscopy and quantum nanophotonics, as it provides an adequate description of the local electromagnetic fields around atomic-scale features with use of simplified classical methods., Financial support from Project No. FIS2016-80174-P and MAT2016-78293-C6-4-R of MINECO, grant of Consolidated Groups at UPV/EHU (IT-756-13) of the Basque Government, and project 70NANB15H32 from U.S. Department of Commerce, National Institute of Standards and Technology, is acknowledged. M.U. acknowledges support from the University of the Basque Country through a Ph.D. grant, as well as DIPC and CFM at the initial stages of this work. M.B. acknowledges support from the Departamento de Educacion of the Basque Government through a Ph.D. grant, as well as from Euskampus and the DIPC at the initial stages of this work. P.K. acknowledges financial support from the Fellows Gipuzkoa program of the Gipuzkoako Foru Aldundia through the FEDER funding scheme of the European Union, “Una manera de hacer Europa”.

We present an algorithm and its implementation to calculate the properties of electronic excitations in molecules and clusters from first principles, using time-dependent density functional theory (TDDFT). The algorithm assumes the use of some localized functions as a basis set to represent the spatial degrees of freedom. It relies on an iterative computation of the induced density according to the Dyson-like equation for the linear response function. The current implementation is built upon so-called numerical atomic orbitals. It is suitable for a wide variety of density functional theory (DFT) software. In this work, we demonstrate TDDFT calculations starting from preceding DFT runs with SIESTA, GPAW and PySCF packages, while a coupling with the other DFT packages such as Fireball and OpenMX is planned. The mentioned packages are capable of performing ab initio molecular dynamics simulations, and the speed of our TDDFT implementation makes feasible to perform a configuration average of the optical absorption spectra. Our code is written mostly in Python language allowing for a quick and compact implementation of most numerical methods and data-managing tasks with the help of NumPy/SciPy libraries and Python intrinsic constructs. Part of the code is written in C and Fortran to achieve a competitive speed in particular sections of the algorithm. Many parts of the current algorithm and implementation are useful in other ab initio methods for electronic excited states, such as Hedin¿s GW, Bethe¿Salpeter equation and DFT with hybrid functionals. Corresponding proof-of-principles implementations are already part of the code., PK and DSP acknowledge support from Spanish MINECO Grants MAT2016-78293-C6-4-R and RTC-2016-5681-7 (SIESTA-PRO). PKacknowledges financial support from the Fellows Gipuzkoa program of the Gipuzkoako Foru Aldundia through the FEDER fundings cheme of the European Union.MB acknowledges support from the Departemento de Educación of the Basque Government through aPhD grant, as well as from Euskampus and the DIPC at the initial stages of this work