United Way Youth Institute: A Youth Empowerment and Service Learning Initiative

The United Way of Miami-Dade initiative is a yearlong student-centered leadership and service program that incorporates a youth empowerment framework in which local high school students from under resourced communities come together to combat what they determine to be the most pressing issue in their community. Topics include service learning, youth gun violence, leadership development, project management, and partnership building

Participatory Process for Regenerating Rural Areas through Heritage-Led Plans: The RURITAGE Community-Based Methodology

Rural areas in Europe host more than 55% of the overall population and embed a unique and peculiar cultural and natural heritage. Nevertheless, they are facing common issues of disengagement, depopulation and economic and social crises. Rural communities are increasingly interested in setting up inclusive and participatory regeneration processes, but participatory planning experiences in rural areas are still limited. This paper introduces the Community-based Heritage Management and Planning methodology (CHMP) developed within the RURITAGE project, and analyzes and presents the results of its implementation in six demonstrators around Europe and beyond. The methodology is based on the establishment of Rural Heritage Hubs (RHH), intended as the community of local stakeholders and a physical place to run the co-creation activities. We used four types of feedback—online survey, in-presence survey, consultations and interviews with RHH Coordinators—to analyze the implementation of the CHMP. The research findings show that through built capital (RHH places activated) and through the activation of local social and human capitals (RHH communities engaged in the process), participatory processes can attract local communities and engage them into the development and the implementation of local regeneration plans, fostering heritage ownership and inclusion

Cognitive development attenuates audiovisual distraction and promotes the selection of task-relevant perceptual saliency during visual search on complex scenes

Searching for a target while avoiding distraction is a core function of selective attention involving both voluntary and reflexive mechanisms. Here, for the first time, we investigated the development of the interplay between voluntary and reflexive mechanisms of selective attention from childhood to early adulthood. We asked 6-, 10-, and 20-year-old participants to search for a target presented in one hemifield of a complex scene, preceded by a task-irrelevant auditory cue on either the target side (valid), the opposite side (invalid), or both sides (neutral). For each scene we computed the number of salient locations (NSL) and the target saliency (TgS). All age groups showed comparable orienting effects (\u201cvalid minus neutral\u201d trials), indicating a similar capture of spatial attention by valid cues which was independent of age. However, only adults demonstrated a suppression of the reorienting effect (\u201cinvalid minus neutral\u201d trials), indicating late developments in the reallocation of spatial attention toward a target following auditory distraction. The searching performance of the children (both 6- and 10-year-olds), but not of the adults, was predicted by the NSL, indicating an attraction of processing resources to salient but task-irrelevant locations in childhood; conversely, only adults showed greater performance with increased TgS in valid trials, indicating late development in the use of task-related saliency. These findings highlight qualitatively different mechanisms of selective attention operating at different ages, demonstrating important developmental changes in the interplay between voluntary and reflexive mechanisms of selective attention during visual search in complex scenes

Large Observatory for x-ray Timing (LOFT-P): a Probe-class mission concept study

LOFT-P is a concept for a NASA Astrophysics Probe-Class (<$1B) X-ray timing mission, based on the LOFT concept originally proposed to ESAs M3 and M4 calls. LOFT-P requires very large collecting area (>6 m^2, >10x RXTE), high time resolution, good spectral resolution, broad-band spectral coverage (2-30 keV), highly flexible scheduling, and an ability to detect and respond promptly to time-critical targets of opportunity. It addresses science questions such as: What is the equation of state of ultra dense matter? What are the effects of strong gravity on matter spiraling into black holes? It would be optimized for sub-millisecond timing to study phenomena at the natural timescales of neutron star surfaces and black hole event horizons and to measure mass and spin of black holes. These measurements are synergistic to imaging and high-resolution spectroscopy instruments, addressing much smaller distance scales than are possible without very long baseline X-ray interferometry, and using complementary techniques to address the geometry and dynamics of emission regions. A sky monitor (2-50 keV) acts as a trigger for pointed observations, providing high duty cycle, high time resolution monitoring of the X-ray sky with ~20 times the sensitivity of the RXTE All-Sky Monitor, enabling multi-wavelength and multi-messenger studies. A probe-class mission concept would employ lightweight collimator technology and large-area solid-state detectors, technologies which have been recently greatly advanced during the ESA M3 study. Given the large community interested in LOFT (>800 supporters, the scientific productivity of this mission is expected to be very high, similar to or greater than RXTE (~2000 refereed publications). We describe the results of a study, recently completed by the MSFC Advanced Concepts Office, that demonstrates that LOFT-P is feasible within a NASA probe-class mission budget.Comment: Proc. SPIE 9905, Space Telescopes and Instrumentation 2016: Ultraviolet to Gamma Ray, 99054Y (July 18, 2016

Long COVID Clinical Phenotypes up to 6 Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms

BACKGROUND: The prevalence, incidence, and interrelationships of persistent symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present 3 months and 6 months post-infection. METHODS: This was a multicenter study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to 6 months postdiagnosis. Using LCA, we identified symptomatically homogenous groups among COVID-positive and COVID-negative participants at each time period for both general and fatigue-related symptoms. RESULTS: Among 5963 baseline participants (4504 COVID-positive and 1459 COVID-negative), 4056 had 3-month and 2856 had 6-month data at the time of analysis. We identified 4 distinct phenotypes of post-COVID conditions (PCCs) at 3 and 6 months for both general and fatigue-related symptoms; minimal-symptom groups represented 70% of participants at 3 and 6 months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste/smell and cognition problems. There was substantial class-switching over time; those in 1 symptom class at 3 months were equally likely to remain or enter a new phenotype at 6 months. CONCLUSIONS: We identified distinct classes of PCC phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at 3 and 6 months of follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that PCCs may have a more dynamic nature than previously recognized

Association Between SARS-CoV-2 Variants and Frequency of Acute Symptoms: Analysis of a Multi-institutional Prospective Cohort Study-December 20, 2020-June 20, 2022.

Background: While prior work examining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern focused on hospitalization and death, less is known about differences in clinical presentation. We compared the prevalence of acute symptoms across pre-Delta, Delta, and Omicron. Methods: We conducted an analysis of the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), a cohort study enrolling symptomatic SARS-CoV-2-positive participants. We determined the association between the pre-Delta, Delta, and Omicron time periods and the prevalence of 21 coronavirus disease 2019 (COVID-19) acute symptoms. Results: We enrolled 4113 participants from December 2020 to June 2022. Pre-Delta vs Delta vs Omicron participants had increasing sore throat (40.9%, 54.6%, 70.6%; Conclusions: Participants infected during Omicron were more likely to report symptoms of common respiratory viruses, such as sore throat, and less likely to report loss of smell and taste. Trial Registration: NCT04610515

Analysis of shared heritability in common disorders of the brain

ience, this issue p. eaap8757 Structured Abstract INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities' assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer's disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important "scaffolding" to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders

Global urban environmental change drives adaptation in white clover

Urbanization transforms environments in ways that alter biological evolution. We examined whether urban environmental change drives parallel evolution by sampling 110,019 white clover plants from 6169 populations in 160 cities globally. Plants were assayed for a Mendelian antiherbivore defense that also affects tolerance to abiotic stressors. Urban-rural gradients were associated with the evolution of clines in defense in 47% of cities throughout the world. Variation in the strength of clines was explained by environmental changes in drought stress and vegetation cover that varied among cities. Sequencing 2074 genomes from 26 cities revealed that the evolution of urban-rural clines was best explained by adaptive evolution, but the degree of parallel adaptation varied among cities. Our results demonstrate that urbanization leads to adaptation at a global scale

Co-developing heritage-led regeneration plans in rural areas: the RURITAGE methodology for community-based heritage management and planning

Participatory planning processes are commonly implemented in cities, while they are quite uncommon in rural areas. The H2020 RURITAGE project aims to turn rural areas in sustainable development demonstration laboratories, through the enhancement of their unique Cultural and Natural Heritage potential, by establishing a new heritage-led rural regeneration paradigm. The ambition is to provide all potentially interested rural areas with tailored co-design approaches and methods to develop their rural regeneration strategies. A new methodology, the so-called RURITAGE methodology for Community-based Heritage Management and Planning (CHMP) has been designed with a theoretical background and an operative programme to co-develop and co-implement heritage-led regeneration strategies in rural areas. This paper presents the first step of the CHMP methodology consisting in the establishment of the Rural Heritage Hub as a central innovation space at the intersection of social, cultural and technological innovation of rural areas. The Rural Heritage Hubs are contributing to develop a deep sense of ownership and responsibility among the inhabitants of rural areas, mainly through local engagement. Results are presented for the 6 rural areas across Europe identified as Replicators within the RURITAGE project