25 research outputs found

    Socio-eco-evolutionary dynamics in cities

    Get PDF
    Cities are uniquely complex systems regulated by interactions and feedbacks between nature and human society. Characteristics of human society-including culture, economics, technology and politics-underlie social patterns and activity, creating a heterogeneous environment that can influence and be influenced by both ecological and evolutionary processes. Increasing research on urban ecology and evolutionary biology has coincided with growing interest in eco-evolutionary dynamics, which encompasses the interactions and reciprocal feedbacks between evolution and ecology. Research on both urban evolutionary biology and eco-evolutionary dynamics frequently focuses on contemporary evolution of species that have potentially substantial ecological-and even social-significance. Still, little work fully integrates urban evolutionary biology and eco-evolutionary dynamics, and rarely do researchers in either of these fields fully consider the role of human social patterns and processes. Because cities are fundamentally regulated by human activities, are inherently interconnected and are frequently undergoing social and economic transformation, they represent an opportunity for ecologists and evolutionary biologists to study urban "socio-eco-evolutionary dynamics." Through this new framework, we encourage researchers of urban ecology and evolution to fully integrate human social drivers and feedbacks to increase understanding and conservation of ecosystems, their functions and their contributions to people within and outside cities

    A Smartphone-based Decision Support Tool Improves Test Performance Concerning Application of the Guidelines for Managing Regional Anesthesia in the Patient Receiving Antithrombotic or Thrombolytic Therapy

    Get PDF
    BACKGROUND: The American Society of Regional Anesthesia and Pain Medicine (ASRA) consensus statement on regional anesthesia in the patient receiving antithrombotic or thrombolytic therapy is the standard for evaluation and management of these patients. The authors hypothesized that an electronic decision support tool (eDST) would improve test performance compared with native physician behavior concerning the application of this guideline. METHODS: Anesthesiology trainees and faculty at 8 institutions participated in a prospective, randomized trial in which they completed a 20-question test involving clinical scenarios related to the ASRA guidelines. The eDST group completed the test using an iOS app programmed to contain decision logic and content of the ASRA guidelines. The control group completed the test by using any resource in addition to the app. A generalized linear mixed-effects model was used to examine the effect of the intervention. RESULTS: After obtaining institutional review board's approval and informed consent, 259 participants were enrolled and randomized (eDST = 122; control = 137). The mean score was 92.4 ± 6.6% in the eDST group and 68.0 ± 15.8% in the control group (P < 0.001). eDST use increased the odds of selecting correct answers (7.8; 95% CI, 5.7 to 10.7). Most control group participants (63%) used some cognitive aid during the test, and they scored higher than those who tested from memory alone (76 ± 15% vs. 57 ± 18%, P < 0.001). There was no difference in time to completion of the test (P = 0.15) and no effect of training level (P = 0.56). CONCLUSIONS: eDST use improved application of the ASRA guidelines compared with the native clinician behavior in a testing environment

    CNS involvement in OFD1 syndrome: A clinical, molecular, and neuroimaging study

    Get PDF

    Identification of an Iron-Responsive Protein That Is Antigenic in Patients With Chlamydia Trachomatis Genital Infections

    No full text
    Chlamydia trachomatis is an important cause of immune-mediated damage to the reproductive tract of infected patients. Certain chlamydial antigens and host genetic factors have been identified as contributing to immunopathological events, but a comprehensive understanding of specific components involved in destructive vs. protective immune responses to chlamydial infections is far from clear. In this study, it is shown that C. trachomatis-infected patients generate antibodies against an iron-responsive chlamydial protein, YtgA. The identity of YtgA was confirmed by mass spectrometry following two-dimensional polyacrylamide gel electrophoresis and Western blot analysis. This finding underscores a necessity to examine patient sera samples to identify chlamydial antigens that are likely encountered and important to the immune response during human infections

    Socio- eco- evolutionary dynamics in cities

    Full text link
    Cities are uniquely complex systems regulated by interactions and feedbacks between nature and human society. Characteristics of human society- including culture, economics, technology and politics- underlie social patterns and activity, creating a heterogeneous environment that can influence and be influenced by both ecological and evolutionary processes. Increasing research on urban ecology and evolutionary biology has coincided with growing interest in eco- evolutionary dynamics, which encompasses the interactions and reciprocal feedbacks between evolution and ecology. Research on both urban evolutionary biology and eco- evolutionary dynamics frequently focuses on contemporary evolution of species that have potentially substantial ecological- and even social- significance. Still, little work fully integrates urban evolutionary biology and eco- evolutionary dynamics, and rarely do researchers in either of these fields fully consider the role of human social patterns and processes. Because cities are fundamentally regulated by human activities, are inherently interconnected and are frequently undergoing social and economic transformation, they represent an opportunity for ecologists and evolutionary biologists to study urban - socio- eco- evolutionary dynamics.- Through this new framework, we encourage researchers of urban ecology and evolution to fully integrate human social drivers and feedbacks to increase understanding and conservation of ecosystems, their functions and their contributions to people within and outside cities.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/166177/1/eva13065_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/166177/2/eva13065.pd

    Socio‐eco‐evolutionary dynamics in cities

    No full text
    Cities are uniquely complex systems regulated by interactions and feedbacks between nature and human society. Characteristics of human society- including culture, economics, technology and politics- underlie social patterns and activity, creating a heterogeneous environment that can influence and be influenced by both ecological and evolutionary processes. Increasing research on urban ecology and evolutionary biology has coincided with growing interest in eco- evolutionary dynamics, which encompasses the interactions and reciprocal feedbacks between evolution and ecology. Research on both urban evolutionary biology and eco- evolutionary dynamics frequently focuses on contemporary evolution of species that have potentially substantial ecological- and even social- significance. Still, little work fully integrates urban evolutionary biology and eco- evolutionary dynamics, and rarely do researchers in either of these fields fully consider the role of human social patterns and processes. Because cities are fundamentally regulated by human activities, are inherently interconnected and are frequently undergoing social and economic transformation, they represent an opportunity for ecologists and evolutionary biologists to study urban - socio- eco- evolutionary dynamics.- Through this new framework, we encourage researchers of urban ecology and evolution to fully integrate human social drivers and feedbacks to increase understanding and conservation of ecosystems, their functions and their contributions to people within and outside cities.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/166177/1/eva13065_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/166177/2/eva13065.pd
    corecore