The developmental effects of media-ideal internalization and self-objectification processes on adolescents’ negative body-feelings, dietary restraint, and binge eating

Despite accumulated experimental evidence of the negative effects of exposure to media-idealized images, the degree to which body image, and eating related disturbances are caused by media portrayals of gendered beauty ideals remains controversial. On the basis of the most up-to-date meta-analysis of experimental studies indicating that media-idealized images have the most harmful and substantial impact on vulnerable individuals regardless of gender (i.e., “internalizers” and “self-objectifiers”), the current longitudinal study examined the direct and mediated links posited in objectification theory among media-ideal internalization, self-objectification, shame and anxiety surrounding the body and appearance, dietary restraint, and binge eating. Data collected from 685 adolescents aged between 14 and 15 at baseline (47 % males), who were interviewed and completed standardized measures annually over a 3-year period, were analyzed using a structural equation modeling approach. Results indicated that media-ideal internalization predicted later thinking and scrutinizing of one’s body from an external observer’s standpoint (or self-objectification), which then predicted later negative emotional experiences related to one’s body and appearance. In turn, these negative emotional experiences predicted subsequent dietary restraint and binge eating, and each of these core features of eating disorders influenced each other. Differences in the strength of these associations across gender were not observed, and all indirect effects were significant. The study provides valuable information about how the cultural values embodied by gendered beauty ideals negatively influence adolescents’ feelings, thoughts and behaviors regarding their own body, and on the complex processes involved in disordered eating. Practical implications are discussed

In situ detection of boron by ChemCam on Mars

We report the first in situ detection of boron on Mars. Boron has been detected in Gale crater at levels Curiosity rover ChemCam instrument in calcium-sulfate-filled fractures, which formed in a late-stage groundwater circulating mainly in phyllosilicate-rich bedrock interpreted as lacustrine in origin. We consider two main groundwater-driven hypotheses to explain the presence of boron in the veins: leaching of borates out of bedrock or the redistribution of borate by dissolution of borate-bearing evaporite deposits. Our results suggest that an evaporation mechanism is most likely, implying that Gale groundwaters were mildly alkaline. On Earth, boron may be a necessary component for the origin of life; on Mars, its presence suggests that subsurface groundwater conditions could have supported prebiotic chemical reactions if organics were also present and provides additional support for the past habitability of Gale crater

Neutral and Charged Polymers at Interfaces

Chain-like macromolecules (polymers) show characteristic adsorption properties due to their flexibility and internal degrees of freedom, when attracted to surfaces and interfaces. In this review we discuss concepts and features that are relevant to the adsorption of neutral and charged polymers at equilibrium, including the type of polymer/surface interaction, the solvent quality, the characteristics of the surface, and the polymer structure. We pay special attention to the case of charged polymers (polyelectrolytes) that have a special importance due to their water solubility. We present a summary of recent progress in this rapidly evolving field. Because many experimental studies are performed with rather stiff biopolymers, we discuss in detail the case of semi-flexible polymers in addition to flexible ones. We first review the behavior of neutral and charged chains in solution. Then, the adsorption of a single polymer chain is considered. Next, the adsorption and depletion processes in the many-chain case are reviewed. Profiles, changes in the surface tension and polymer surface excess are presented. Mean-field and corrections due to fluctuations and lateral correlations are discussed. The force of interaction between two adsorbed layers, which is important in understanding colloidal stability, is characterized. The behavior of grafted polymers is also reviewed, both for neutral and charged polymer brushes.Comment: a review: 130 pages, 30 ps figures; final form, added reference

Diseño y validación mediante la Teoría de Respuesta al Ítem del Instrumento para Evaluar Capital Psicológico en las Organizaciones IPSICAP

16 p.El constructo “capital psicológico”, creado por Fred Luthans, se define como un estado de desarrollo psicológico positivo del ser humano, que lo caracteriza por (a) tener confianza (autoeficacia) para realizar los esfuerzos que sean necesarios con el fin de alcanzar el éxito en tareas retadoras; (b) hacer atribuciones de causalidad positivas (optimismo) acerca de los sucesos presentes y futuros; (c) perseverar en el logro de los objetivos y, cuando sea necesario, redireccionar los caminos para alcanzarlos (esperanza) de manera exitosa; y (d) al ser blanco de los problemas y la adversidad, mantenerse en pie, volver a comenzar e ir más allá (resiliencia) para lograr el éxito (Luthans, Youssef & Avolio, 2007a, 2007b). Este constructo ha surgido a partir de investigación empírica dentro del comportamiento organizacional positivo, y se ha identificado como un factor nuclear (core factor) de segundo orden (Avey, Patera & West, 2006). Específicamente, las bases teóricas de sus cuatro componentes tienen origen en la psicología clínica, y la aplicación al contexto laboral ha sido realizada principalmente por Fred Luthans, Carolyn Youssef y Bruce Avolio (Luthans & Avolio, 2003; Luthans, Avolio, Walumbwa & Li, 2005); aunque también ha sido trabajado por el grupo de investigación WoNT-Work and Organizational Network, dirigido por Marisa Salanova, en España.Introducción Método Resultados Discusión Referencia

Well-Being Correlates of Perceived Positivity Resonance: Evidence from Trait and Episode-Level Assessments

Positivity resonance is a type of interpersonal connection characterized by shared positivity, mutual care and concern, and behavioral and biological synchrony. Perceived positivity resonance is hypothesized to be associated with well-being. In three studies (N = 175; N = 120; N = 173), perceived positivity resonance was assessed at the trait level (Study 1) or the episode level, using the Day Reconstruction Method (Studies 2 and 3). Primary analyses reveal that perceived positivity resonance is associated with flourishing mental health, depressive symptoms, loneliness, and illness symptoms. These associations largely remain statistically significant when controlling for daily pleasant emotions or social interaction more generally. Ancillary analyses in Studies 2 and 3 support the construct validity of the episode-level assessment of perceived positivity resonance. The overall pattern of results is consistent with Positivity Resonance Theory. Discussion centers on avenues for future research and the need for behavioral interventions

How the Affective Quality of Social Connections May Contribute to Public Health: Prosocial Tendencies Account for the Links Between Positivity Resonance and Behaviors that Reduce the Spread of COVID-19

Although behaviors such as handwashing, mask wearing, and social distancing are known to limit viral spread, early in the COVID-19 pandemic, many individuals in the United States did not adopt them. The positivity resonance theory of co-experienced positive affect (Fredrickson, 2016) holds that shared pleasant states that include the key features of mutual care and a sense of oneness through behavioral synchrony function to build prosocial tendencies (e.g., self-transcendent and other-oriented dispositions of felt unity, empathy, altruism, and general positivity toward humanity). We tested the theory-driven hypothesis that prosocial tendencies are associated with high-quality social connections characterized by the affective state of positivity resonance and, in turn, account for behaviors to slow the spread of COVID-19. We measured perceived positivity resonance at the level of social episodes either during the COVID-19 pandemic (study 1, N = 1059, April–May 2020) or before it (study 2, N = 227, March–November 2019). In both studies, cross-sectionally and prospectively, results suggest that perceived positivity resonance had a positive indirect effect on self-reported hygienic behaviors (e.g., handwashing and mask wearing), which was mediated by a latent measure of prosocial tendencies. Sensitivity analyses confirmed these mediation effects to be independent of competing predictors of prosocial tendencies (e.g., overall positive and negative affect, frequency of social interaction) and competing predictors of health behaviors (e.g., political orientation, high-risk status, illness symptoms). Effects for social distancing were mixed. Overall, findings are consistent with the view that positivity resonance builds self-transcendent prosocial tendencies that motivate behaviors to protect community health

Staying ‘in sync’ with others during COVID-19: Perceived positivity resonance mediates cross-sectional and longitudinal links between trait resilience and mental health

Shared positive emotions involving caring and synchrony – termed ‘positivity resonance’ – are associated with mental health. We hypothesized that, during the COVID-19 pandemic, individual differences in trait resilience would be linked with better overall mental health in part because those higher in trait resilience experience more positivity resonance. We surveyed respondents nationally in April and May of 2020 (total N = 1,059), during pervasive stay-at-home orders. Participants completed self-reports of trait resilience and mental health and used the Day Reconstruction Method to describe their social and emotional experiences. Structural equation models showed perceived positivity resonance to mediate the links between trait resilience and mental health outcomes. Subsequent analyses showed these mediating effects to be independent of overall positive emotion and social interaction quantity (amongst nationwide adults). These results indicate that high-quality social connection played a uniquely important role in maintaining mental health during the COVID-19 pandemic

The zero forcing numbers and propagation times of gear graphs and helm graphs

Zero forcing is a dynamic coloring process on graphs. Initially, each vertex of a graph is assigned a color of either blue or white, and then a process begins by which blue vertices force white vertices to become blue. The zero forcing number is the cardinality of the smallest set of initially blue vertices which can force the entire graph to become blue, and the propagation time is the minimum number of steps in such a zero forcing process. In this paper we will determine the zero forcing numbers and propagation times of two infinite classes of graphs called gear graphs and helm graphs

Diagrammatic analysis of correlations in polymer fluids: Cluster diagrams via Edwards' field theory

A straightforward expansion of Edwards' functional integral representation of the grand partition function for a polymer liquid as an infinite set of Feynman diagrams is shown to yield a cluster expansion that is closely related to the corresponding Mayer cluster expansion developed for flexible molecules by Chandler and coworkers. The procedure initially yields a perturbative cluster expansion in which all free energies and correlation functions are expressed diagrammatically as functionals of single-molecule correlation functions of non-interacting molecules. Topological reduction yields several renormalized expansions for collective correlation functions of all orders as functionals of single-molecule correlation functions in the interacting fluid. Renormalized expansions are also obtained for a generalized Ornstein-Zernicke (OZ) direct correlation function and for intramolecular correlation functions. The application of the formalism to coarse-grained models of polymer fluids is discussed, and a loop expansion about self-consistent field theory is shown to converge for sufficiently coarse-grained models, in which monomers are strongly overlapping. The formalism is used to derive a new expression for the OZ direct correlation function and to recover known results for the 2-point intramolecular correlation function to first order in a loop expansion, for binary blends and diblock copolymer melts.Comment: 98 pages, 13 figures, accepted by Annals of Physic

Sloan Digital Sky Survey IV: mapping the Milky Way, nearby galaxies, and the distant universe

We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median ). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July