4,194 research outputs found

    Psychiatric Symptomatology among Individuals in Alcohol Detoxification Treatment

    Get PDF
    The coexistence of psychiatric symptomatology among individuals receiving longer-term treatment for alcohol use disorders has been well-established; however, less is known about comorbidity among individuals receiving alcohol detoxification. Using the Brief Symptom Inventory (BSI; Derogatis, 1992), we compared psychiatric symptomatology among 815 individuals receiving short-term detoxification services with normative data from nonpatients, psychiatric patients, and out-of-treatment individuals using street drugs. Findings revealed that individuals in the current sample reported a wide range of psychiatric symptoms with over 80% meeting BSI criteria for diagnosable mental illness. These BSI scores were significantly more severe than those reported by out-of-treatment individuals using street drugs and most closely resembled BSI scores reported for adult psychiatric inpatients. Findings suggest that routine screening for severe mental health symptoms appears warranted in detoxification units. Such screening would greatly increase the chance that coexistence of substance use and other psychiatric disorders would be properly addressed in ongoing treatment

    Bear Facts

    Get PDF
    https://openspace.dmacc.edu/banner_news/1491/thumbnail.jp

    Center for Urban Health: Enhancing the health of cities by focusing on communities and the environment

    Get PDF
    Urban sustainability is a new philosophy of developing healthy, productive communities that (1) promote and use locally-produced foods and products, (2) ensure safe access to natural spaces, and (3) establish low-carbon transportation systems. Urban living is arguably the most sustainable form of community given the concentration of resources, protection of arable land, and vertical structure of housing. In fact, urbanization is becoming the global norm; the percentage of global population living in urban settings has increased from less than 30% in 1950 to 47% in 2000; the percentage of urban dwellers is expected to increase to 60% by 2025. The promise of a healthy and sustainable urban future is clouded, however, by the reality of environmental insults, economic disparities, and behavioral pressures that exist in modern cities. The challenge is not how to build a shiny carbon-neutral city from scratch, but rather how to transition our current urban state toward one that is healthier, has less environmental impact, and is more prepared to respond and adjust to variety of environmental, social, and health changes in the future. Several groups at IUPUI and in the community are collaborating to explore connections between environment, behavior, health, and climate as related to urban environments. These translational efforts are inter- and trans-disciplinary, as evidenced by earth scientists publishing with pediatricians, and geographers publishing with epidemiologists. These efforts are largely undertaken with a geospatial and geotemporal research template. This template allows environmental, health, and behavioral data to be collected individually but with reference to space and time, which become important metadata components for analysis. The Center for Urban Health promotes discovery by building research collaborations among Center Investigators, conducting workshops on cutting-edge developments in urban health, and bridging campus and community efforts in public health, including the Reconnecting to Our Waterways (RWO) initiative

    Emerging Near-Real Time Forage Monitoring Technology with Application to Large Herbivore Management in Mongolia

    Get PDF
    Large herbivore livestock and wildlife in Mongolia depend almost entirely for substance on forage standing crop produced each year on natural pastureland. Consequently, both livestock and wildlife are continuously subject to environmental risk, especially drought and severe winter storms, while livestock are also subject to financial risk. As consumption-based livestock production changes to commercialized livestock production, steps taken by the livestock herder to avert both environmental and financial risk to livestock can increase environmental risk to large wild herbivores. A realistic and workable pastureland and risk management system will be critical for conservation of large herbivore habitat. New technologies are becoming available to facilitate understanding of risk and resource allocation. Texas A&M University has developed a suite of innovative technologies that facilitate resolving risk and resource allocation issues. A pre-parameterized rangeland model (i.e., PHYGROW) provides daily estimates of forage available to a mixed population of herbivores. Near Infra-Red Spectroscopy (NIRS) allows prediction of diet quality of free-ranging large herbivores via fecal scans which, when coupled with advanced nutritional management software (i.e., NUTBAL), can predict performance of animals. Oregon State University has developed a computerized multi-criteria decision-making tool (i.e., KRESS) that can take landscape parameters and determine the suitability of each cell or unit of the landscape for use by large herbivores. Emerging near real-time technologies can help clarify habitat needs, identify habitat improvements, and enable better management of large herbivore wildlife and livestock

    Emerging Near-Real Time Forage Monitoring Technology with Application to Large Herbivore Management in Mongolia

    Get PDF
    Large herbivore livestock and wildlife in Mongolia depend almost entirely for substance on forage standing crop produced each year on natural pastureland. Consequently, both livestock and wildlife are continuously subject to environmental risk, especially drought and severe winter storms, while livestock are also subject to financial risk. As consumption-based livestock production changes to commercialized livestock production, steps taken by the livestock herder to avert both environmental and financial risk to livestock can increase environmental risk to large wild herbivores. A realistic and workable pastureland and risk management system will be critical for conservation of large herbivore habitat. New technologies are becoming available to facilitate understanding of risk and resource allocation. Texas A&M University has developed a suite of innovative technologies that facilitate resolving risk and resource allocation issues. A pre-parameterized rangeland model (i.e., PHYGROW) provides daily estimates of forage available to a mixed population of herbivores. Near Infra-Red Spectroscopy (NIRS) allows prediction of diet quality of free-ranging large herbivores via fecal scans which, when coupled with advanced nutritional management software (i.e., NUTBAL), can predict performance of animals. Oregon State University has developed a computerized multi-criteria decision-making tool (i.e., KRESS) that can take landscape parameters and determine the suitability of each cell or unit of the landscape for use by large herbivores. Emerging near real-time technologies can help clarify habitat needs, identify habitat improvements, and enable better management of large herbivore wildlife and livestock

    How Multidisciplinary is Gamification Research? : Results from a Scoping Review

    Get PDF
    Gamification has been repeatedly framed as an emerging multidisciplinary research field. However, it is unclear how multidisciplinary the field actually is. To answer this question, this paper presents initial results of a broader scoping review of gamification research published between 2010 and 2016. Close to 2,000 peer-reviewed English-language journal and conference papers were identified across 11 databases and categorized by discipline. Results indicate an explosive growth of literature peaking in 2015. Early on, Information and Computing Science dominated the field, to be overtaken by the sum of other disciplines in 2013, education, economics and tourism in specific. This indicates that gamification was initially a field within computer science and HCI and has only recently become truly multi-disciplinary

    Validating Morphometrics with DNA Barcoding to Reliably Separate Three Cryptic Species of Bombus Cresson (Hymenoptera: Apidae)

    Get PDF
    Despite their large size and striking markings, the identification of bumble bees (Bombus spp.) is surprisingly difficult. This is particularly true for three North American sympatric species in the subgenus Pyrobombus that are often misidentified: B. sandersoni Franklin, B. vagans Smith B. perplexus Cresson. Traditionally, the identification of these cryptic species was based on observations of differences in hair coloration and pattern and qualitative comparisons of morphological characters including malar length. Unfortunately, these characteristics do not reliably separate these species. We present quantitative morphometric methods to separate these species based on the malar length to width ratio (MRL) and the ratios of the malar length to flagellar segments 1 (MR1) and 3 (MR3) for queens and workers, and validated our determinations based on DNA barcoding. All three measurements discriminated queens of B. sandersoni and B. vagans with 100% accuracy. For workers, we achieved 99% accuracy by combining both MR1 and MR3 measurements, and 100% accuracy differentiating workers using MRL. Moreover, measurements were highly repeatable within and among both experienced and inexperienced observers. Our results, validated by genetic evidence, demonstrate that malar measurements provide accurate identifications of B. vagans and B. sandersoni. There was considerable overlap in the measurements between B. perplexus and B. sandersoni. However, these species can usually be reliably separated by combining malar ratio measurements with other morphological features like hair color. The ability to identify bumble bees is key to monitoring the status and trends of their populations, and the methods we present here advance these efforts
    • …
    corecore