A Paleoclimatic and Paleohydrologic Reconstruction of Pleistocene Fossil Lake, Oregon

Fossil Lake, Oregon, is a Pleistocene lacustrine basin (~ 650-13 ka) in the northwestern part of the Great Basin best known for its abundant and diverse vertebrate assemblage. Multi-proxy studies using lithostratigraphy, fossil ostracode faunal assemblages, and ostracode stable isotope geochemistry from cores taken at Fossil Lake record changes in paleoenvironment, paleoclimate, and paleohydrochemistry. From lithostratigraphic analysis, the depositional sequence was subdivided into eight lithosomes composed of fining-upward sequences, bounded by unconformities, indicating that the lake underwent several lake-level excursions. The two oldest lithosomes, ~ 646-610 ka, record deep lake environments deposited during wet conditions and correspond to marine oxygen isotope stages (MIS) 16 and 15. A major unconformity from ~ 610 ka until ~ 71 ka interrupts the record. Lithosomes III and IV, ~ 71-47 ka, were deposited during wet conditions that produced cool to cold, deep, alkaline lakes that were fresh to slightly saline and corresponds to MIS 4 and 3, respectively. Lithosome IV also records a short period of drier conditions with decreased lake level and increased methanogenesis rates that produced highly enriched &delta13C values in ostracodes. Lithosome V, VI, and VII, ~ 47-28 ka, were deposited during dry conditions that produced cold, shallow, alkaline lakes and correspond to MIS 3. Salinities ranged from saline to slightly saline in Lithosomes V and VI to relatively fresh in Lithosome VII. Wet conditions return abruptly in Lithosome VIII (~ 15 ka) that records a deep, cold lake environment and corresponds to MIS 2. The repetitive cycles of flooding, lake stand, and desiccation indicates that Fossil Lake was highly susceptible to changes in precipitation and evaporation ratios, suggesting that climate forcing played a major role in the lake-level fluctuations. Over all, high and very high stands coincide with glacial cycles in MIS 16, 4, and 2

Exploring the Process, Models, and Outcomes of Hospital-Public Health Partnerships

Health care reform has resulted in changes throughout the health system, including the Affordable Care Act (ACA) requirement that hospitals conduct community health needs assessments, taking into greater consideration the public health of their respective communities. This has led to growing strategies to develop partnerships between hospitals and public health (PH) as a way to meet these needs1. Meantime, there is a need for data on Hospital-PH partnerships, due to the growing emphasis that these types of partnerships get implemented in practice. In this paper we analyze a secondary data set to explore how hospitals and public health have engaged in partnerships prior to the ACA. We asked “How amenable have hospitals and public health agencies been to forming partnerships?” We found that while Hospitals traditionally have fewer partners, contribute fewer resources, and report fewer outcomes, they tend to report high perceptions of value and more frequent, complex partnerships. The impact of these results are important to efforts to build an evidenced-based foundation by which hospital and public health personnel can develop skills to manage these complex relationships

Early Permian Carbonitidae (Ostracoda): ontogeny, affinity, environment and systematics

http://www.geolsoc.org.uk/gsl/publications/journal

New Perspectives on the “Silo Effect” – Initial Comparisons of Network Structures across Public Health Collaboratives

Objectives: We explored to what extent "silos" (preferential partnering) persist in interorganizational boundaries despite advances in working across boundaries. We focused on organizational homophily and resulting silo effects within networks that might both facilitate and impede success in public health collaboratives (PHCs). Methods: We analyzed data from 162 PHCs with a series of exponential random graph models to determine the influence of uniform and differential homophily among organizations and to identify the propensity for partnerships with similar organizations. Results: The results demonstrated a low presence (8%) of uniform homophily among networks, whereas a greater number (30%) of PHCs contained varying levels of differential homophily by 1 or more types of organization. We noted that the higher frequency among law enforcement, nonprofits, and public health organizations demonstrated a partner preference with similar organizations. Conclusions: Although we identified only a modest occurrence of partner preference in PHCs, overall success in efforts to work across boundaries might be problematic when public health members (often leaders of PHCs) exhibit the tendency to form silos

Student identification with the Consumer Relations Board at Kansas State University

Digitized by Kansas Correctional Industrie

How to Identify Success Among Networks That Promote Active Living

Objectives. We evaluated organization- and network-level factors that influence organizations’ perceived success. This is important for managing interorganizational networks, which can mobilize communities to address complex health issues such as physical activity, and for achieving change. Methods. In 2011, we used structured interview and network survey data from 22 states in the United States to estimate multilevel random-intercept models to understand organization- and network-level factors that explain perceived network success. Results. A total of 53 of 59 “whole networks” met the criteria for inclusion in the analysis (89.8%). Coordinators identified 559 organizations, with 3 to 12 organizations from each network taking the online survey (response rate = 69.7%; range = 33%–100%). Occupying a leadership position (P \u3c .01), the amount of time with the network (P \u3c .05), and support from community leaders (P \u3c .05) emerged as correlates of perceived success. Conclusions. Organizations’ perceptions of success can influence decisions about continuing involvement and investment in networks designed to promote environment and policy change for active living. Understanding these factors can help leaders manage complex networks that involve diverse memberships, varied interests, and competing community-level priorities

Patterns in PARTNERing across Public Health Collaboratives

Inter-organizational networks represent one of the most promising practice-based approaches in public health as a way to attain resources, share knowledge, and, in turn, improve population health outcomes. However, the interdependencies and effectiveness related to the structure, management, and costs of these networks represents a critical item to be addressed. The objective of this research is to identify and determine the extent to which potential partnering patterns influence the structure of collaborative networks. This study examines data collected by PARTNER, specifically public health networks (n = 162), to better understand the structured relationships and interactions among public health organizations and their partners, in relation to collaborative activities. Combined with descriptive analysis, we focus on the composition of public health collaboratives in a series of Exponential Random Graph (ERG) models to examine the partnerships between different organization types to identify the attribute-based effects promoting the formation of network ties within and across collaboratives. We found high variation within and between these collaboratives including composition, diversity, and interactions. The findings of this research suggest common and frequent types of partnerships, as well as opportunities to develop new collaborations. The result of this analysis offer additional evidence to inform and strengthen public health practice partnerships