A Comparison of American Marten Habitat Use From Data Collected Using VHF Radio Telemetry Versus GPS Telemetry

The American marten (Martes americana) is a small carnivorous forest mammal with a long, slender body found throughout northern North America. Our study focused on home range size and habitat use of individuals in the Manistee National Forest in Michigan\u27s Lower Peninsula. Marten home range sizes vary from animal to animal, as population density, climate, and food availability are all factors to consider (Smith et al. 2002). Our understanding of wildlife habitat use and selection, and therefore our efforts to create or manage suitable habitat are based almost exclusively on research conducted using very high frequency (VHF)-based radio telemetry. We compared the habitat use for each animal based on conventional VHF telemetry and Global Positioning System (GPS) telemetry. The habitat type in which each point was in was used as an indication of habitat preference. VHF-based radio telemetry generally allows the researcher to locate an animal once a day up to once a week. GPS-based telemetry allows the researcher to collect locations as often as once every half an hour, but the increased frequency comes with an increased cost of roughly ten times the cost of VHF transmitters. We conducted GPS telemetry by attaching GPS transmitters, small enough to use on an American marten, to a collar. The use of GPS collars increases the frequency of locations which will likely increase accuracy in our understanding of habitat selection. We evaluated whether the inferences regarding marten habitat use vary between VHF and GPS derived data. We found that these inferences do vary, which justifies the increased cost of GPS transmitters. This astute research can be used by the Little River Band of Ottawa Indians (LRBOI), the United States Forest Service (USFS) and the Michigan Department of Natural Resources (MDNR) to effectively manage marten habitat in Michigan

Atmospheric In-Situ Resource Utilization For Mars Application

NASA now looks to Mars as the next step in human space exploration. A couple of challenges of such a destination include affordability and weight/volume limitations. As a way to solve these issues NASA is looking into the practice of In-Situ Resource Utilization (ISRU). Instead of manufacturing and bringing all the supplies necessary for a Mars mission and return trip, the goal is to send a preliminary mission to produce reserves of propellant, water, and oxygen on site. Part of this effort includes the Atmospheric Processing Module (APM). The APM is part of a lander that is composed of multiple compartments, each having a unique function; regolith collection/processing, water processing, atmospheric processing, and product storage. The overall goal is to develop the capability to produce methane (CH4) and oxygen as a fuel/oxidizer combo via a Sabatier reaction using resources from the Martian environment. The APM still must undergo modifications in design, and perhaps method, to become flight-ready to produce methane at the level of purity and quantity needed for a vehicle

Differences in designations of observation care in US freestanding children's hospitals: Are they virtual or real?

OBJECTIVE: To characterize practices related to observation care and to examine the current models of pediatric observation medicine in US children's hospitals. DESIGN: We utilized 2 web‐based surveys to examine observation care in the 42 hospitals participating in the Pediatric Health Information System database. We obtained information regarding the designation of observation status, including the criteria used to admit patients into observation. From hospitals reporting the use of observation status, we requested specific details relating to the structures of observation care and the processes of care for observation patients following emergency department treatment. RESULTS: A total of 37 hospitals responded to Survey 1, and 20 hospitals responded to Survey 2. Designated observation units were present in only 12 of 31 (39%) hospitals that report observation patient data to the Pediatric Health Information System. Observation status was variably defined in terms of duration of treatment and prespecified criteria. Observation periods were limited to <48 hours in 24 of 31 (77%) hospitals. Hospitals reported that various standards were used by different payers to determine observation status reimbursement. Observation care was delivered in a variety of settings. Most hospitals indicated that there were no differences in the clinical care delivered to virtual observation status patients when compared with other inpatients. CONCLUSIONS: Observation is a variably applied patient status, defined differently by individual hospitals. Consistency in the designation of patients under observation status among hospitals and payers may be necessary to compare quality outcomes and costs, as well as optimize models of pediatric observation care. Journal of Hospital Medicine 2012;. © 2011 Society of Hospital Medicine.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/91108/1/949_ftp.pd

Observation‐status patients in children's hospitals with and without dedicated observation units in 2011

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111995/1/jhm2339.pd

Pediatric observation status: Are we overlooking a growing population in children's hospitals?

BACKGROUND: Inpatient administrative datasets often exclude observation stays, as observation is considered to be outpatient care. The extent to which this status is applied to pediatric hospitalizations is not known. OBJECTIVE: To characterize trends in observation status code utilization and 1‐day stays among children admitted from the emergency department (ED), and to compare patient characteristics and outcomes associated with observation versus inpatient stays. DESIGN: Retrospective longitudinal analysis of the 2004–2009 Pediatric Health Information System (PHIS). SETTING: Sixteen US freestanding children's hospitals contributing outpatient and inpatient data to PHIS. PATIENTS: Admissions to observation or inpatient status following ED care in study hospitals. MEASUREMENTS: Proportions of observation and 1‐day stays among all admissions from the ED were calculated each year. Top ranking discharge diagnoses and outcomes of observation were determined. Patient characteristics, discharge diagnoses, and return visits were compared for observation and 1‐day stays. RESULTS: The proportion of short‐stays (including both observation and 1‐day stays) increased from 37% to 41% between 2004 and 2009. Since 2007, observation stays have outnumbered 1‐day stays. In 2009, more than half of admissions from the ED for 6 of the top 10 ranking discharge diagnoses were short‐stays. Fewer than 25% of observation stays converted to inpatient status. Return visits and readmissions following observation were no more frequent than following 1‐day stays. CONCLUSIONS: Children admitted under observation status make up a substantial proportion of acute care hospitalizations. Analyses of inpatient administrative databases that exclude observation stays likely result in an underestimation of hospital resource utilization for children. Journal of Hospital Medicine 2012; © 2012 Society of Hospital MedicinePeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93720/1/1923_ftp.pd

Local Convergence and Global Diversity: From Interpersonal to Social Influence

Axelrod (1997) showed how local convergence in cultural influence can preserve cultural diversity. We argue that central implications of Axelrod's model may change profoundly, if his model is integrated with the assumption of social influence as assumed by an earlier generation of modelers. Axelrod and all follow up studies employed instead the assumption that influence is interpersonal (dyadic). We show how the combination of social influence with homophily allows solving two important problems. Our integration of social influence yields monoculture in small societies and diversity increasing in population size, consistently with empirical evidence but contrary to earlier models. The second problem was identified by Klemm et al.(2003a,b), an extremely narrow window of noise levels in which diversity with local convergence can be obtained at all. Our model with social influence generates stable diversity with local convergence across a much broader interval of noise levels than models based on interpersonal influence.Comment: 20 pages, 3 figures, Paper presented at American Sociological Association 103rd Annual Meeting, August 1-4, 2008, Boston, MA. Session on Mathematical Sociolog

The importance of population differences: Influence of individual characteristics on the Australian public’s preferences for emergency care

A better understanding of the public’s preferences and what factors influence them is required if they are to be used to drive decision-making in health. This is particularly the case for service areas undergoing continual reform such as emergency and primary care. Accordingly, this study sought to determine if attitudes, socio-demographic characteristics and healthcare experiences influence the public’s intentions to access care and their preferences for hypothetical emergency care alternatives. A discrete choice experiment was used to elicit the preferences of Australian adults (n = 1529). Mixed logit regression analyses revealed the influence of a range of individual characteristics on preferences and service uptake choices across three different presenting scenarios. Age was associated with service uptake choices in all contexts, whilst the impact of other sociodemographics, health experience and attitudinal factors varied by context. The improvements in explanatory power observed from including these factors in the models highlight the need to further clarify their influence with larger populations and other presenting contexts, and to identify other determinants of preference heterogeneity. The results suggest social marketing programs undertaken as part of demand management efforts need to be better targeted if decision-makers are seeking to increase community acceptance of emerging service models and alternatives. Other implications for health policy, service planning and research, including for workforce planning and the possible introduction of a system of co-payments are discussed