44 research outputs found

    Lightning damage stimulates beetle activity in a tropical forest

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    Disturbance alters the structure of ecological communities. Localized disturbances in tropical rainforests often create canopy gaps - patches of forest where large trees have fallen or are defoliated. Lightning is a major cause of large-tree mortality, and consequently gaps, in tropical forests. Lightning-caused gaps consist of abundant dead standing wood which likely is a predictable resource for saproxylic arthropods, specifically wood-boring beetles (Coleoptera). The goal of this study was to provide a preliminary evaluation of the beetles that are attracted to lightning-damaged trees in a tropical forest. We placed flight intercept traps in the subcanopy of 8 trees (4 struck trees and 4 unaffected trees of the same size and species) on Barro Colorado Island, Panama in 2018. Collected beetles were counted and identified to subfamily. Abundance analyses focused on Platypodinae (pinhole borers) and Scolytinae (bark beetles), both of which were significantly more abundant near struck trees vs. unaffected trees. These results suggest that the dead wood of trees struck by lightning is an identifiable resource for saproxylic beetles. Ongoing research will examine differences in beetle communities associated with treefall gaps and lightning gaps. Ultimately, this research will clarify the relevance of lightning to the maintenance of beetle diversity in tropical forests.https://ir.library.louisville.edu/uars/1024/thumbnail.jp

    Gene Expression Patterns of Dengue Virus-Infected Children from Nicaragua Reveal a Distinct Signature of Increased Metabolism

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    Dengue is a widespread viral disease for which over 3 billion people are at risk. There are no drug treatments or vaccines available for this disease. It is also difficult for physicians to predict which patients are at highest risk for the severe manifestations known as dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). We used genome-wide transcriptional profiling analysis to study peripheral blood responses to dengue among patients from Nicaragua. We found that patients with severe manifestations involving shock had very different transcriptional profiles from dengue patients with mild and moderate illness. We then compared our results with other microarray experiments on dengue patients available from public databases and confirmed that dengue is often associated with large changes to the metabolic processes within cells. This approach could identify prognostic markers for severe dengue as well as provide a better understanding of the pathophysiology associated with different grades of disease severity

    What five decades of research tells us about the effects of youth psychological therapy: A multilevel meta-analysis and implications for science and practice

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    Across 5 decades, hundreds of randomized trials have tested psychological therapies for youth internalizing (anxiety, depression) and externalizing (misconduct, attention deficit and hyperactivity disorder) disorders and problems. Since the last broad-based youth metaanalysis in 1995, the number of trials has almost tripled and data-analytic methods have been refined. We applied these methods to the expanded study pool (447 studies; 30,431 youths), synthesizing 50 years of findings and identifying implications for research and practice. We assessed overall effect size (ES) and moderator effects using multilevel modeling to address ES dependency that is common, but typically not modeled, in meta-analyses. Mean posttreatment ES was 0.46; the probability that a youth in the treatment condition would fare better than a youth in the control condition was 63%. Effects varied according to multiple moderators, including the problem targeted in treatment: Mean ES at posttreatment was strongest for anxiety (0.61), weakest for depression (0.29), and nonsignificant for multiprob lem treatment (0.15). ESs differed across control conditions, with "usual care" emerging as a potent comparison condition, and across informants, highlighting the need to obtain and integrate multiple perspectives on outcome. Effects of therapy type varied by informant; only youth-focused behavioral therapies (including cognitive-behavioral therapy) showed similar and robust effects across youth, parent, and teacher reports. Effects did not differ for Caucasian versus minority samples, but more diverse samples are needed. The findings underscore the benefits of psychological treatments as well as the need for improved therapies and more representative, informative, and rigorous intervention science

    The Arabidopsis leucine-rich repeat receptor kinase MIK2/LRR-KISS connects cell wall integrity sensing, root growth and response to abiotic and biotic stresses

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    Plants actively perceive and respond to perturbations in their cell walls which arise during growth, biotic and abiotic stresses. However, few components involved in plant cell wall integrity sensing have been described to date. Using a reverse-genetic approach, we identified the Arabidopsis thaliana leucine-rich repeat receptor kinase MIK2 as an important regulator of cell wall damage responses triggered upon cellulose biosynthesis inhibition. Indeed, loss-of-function mik2 alleles are strongly affected in immune marker gene expression, jasmonic acid production and lignin deposition. MIK2 has both overlapping and distinct functions with THE1, a malectin-like receptor kinase previously proposed as cell wall integrity sensor. In addition, mik2 mutant plants exhibit enhanced leftward root skewing when grown on vertical plates. Notably, natural variation in MIK2 (also named LRR-KISS) has been correlated recently to mild salt stress tolerance, which we could confirm using our insertional alleles. Strikingly, both the increased root skewing and salt stress sensitivity phenotypes observed in the mik2 mutant are dependent on THE1. Finally, we found that MIK2 is required for resistance to the fungal root pathogen Fusarium oxysporum. Together, our data identify MIK2 as a novel component in cell wall integrity sensing and suggest that MIK2 is a nexus linking cell wall integrity sensing to growth and environmental cues

    Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

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    Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

    Routledge International Handbook of Delinquency and Health

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    The Routledge International Handbook of Delinquency and Health presents state-of-the-art research and theorizing on the intersections between health, delinquency, and the juvenile justice system. Organized into three parts—Theoretical and Empirical Foundations; Behavioral, Mental, and Physical Health Conditions; and Prevention, Policy, and Health Promotion Systems—it is the largest and most comprehensive work of its kind, featuring contributions from scholars from multiple nations and global regions. A growing number of researchers, practitioners, and policymakers from criminology and criminal justice, social work, medicine, psychiatry and psychology, and other health science disciplines engage with marginalized adolescent populations who are at elevated risk for violence and delinquency, alcohol and other drug use, health and mental health problems, and other difficulties directly related to public safety and well-being. These risk factors often lead to short-term (e.g., detention, juvenile residential treatment facilities) and long-term (e.g., prison, parole) contact with the criminal justice system. As these fields increasingly overlap, the distinctions between them are blurred. Sound decision-making in the juvenile justice system depends on adequate research and policy at the intersection of delinquency and health. This volume represents an agenda-setting scholarly resource for the expansion of research and policy-making across the international delinquency and health continuum, and will be an essential resource for all who study or work in the field. Entry Abstract: The importance of sufficient and high-quality sleep is widely recognized across the medical field, educators, and more broadly. In recent years, a growing number of studies have explored whether sleep deprivation may influence delinquent behavior. This chapter provides an overview of the literature examining the relationship between sleep and delinquency. As part of this, we compare differences in the operationalization and measurement of both sleep and delinquency and discuss how these differences may affect results. Finally, we discuss the limitations of current research and areas to be explored in future studies.https://digitalcommons.unomaha.edu/criminaljusticefacbooks/1031/thumbnail.jp

    PERSPECTIVES ON SOCIAL WORK VOLUME 10 (SPRING 2014)

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    This is the full-text volume of Perspectives on Social Work, vol. 10 (Spring 2014)
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