Designing a Terminal Area Bird Detection and Monitoring System Based on ASR-9 Data

Conflicts between birds and commercial aircraft are a noteworthy problem at both large and small airports [Cleary, 1999]. The risk factor for United States airports continues to increase due to the steady rise in take-off/landings and bird populations. There is a significant bird strike problem in the terminal area as shown by the incidents reported in the National Bird Strike Database [Cleary and Dolbeer, 1999]. The focus of bird strike mitigation in the past has centered primarily on wildlife management techniques. Recently, an Avian Hazard Advisory System (AHAS) has been developed to reduce the risks of bird strikes to military operations [Kelly, 1999]. This system uses a mosaic of data obtained from the Next Generation Weather Radar (NEXRAD). This sensor serves as an excellent tool for enroute bird advisories due to the radar coverage provided across the majority of the United States. However, its utility in the airport terminal environment is limited due to the slow update rate and the fact that the distance of most NEXRADs from the airport results in beam heights that are too high to detect lowaltitude birds over the airport

A taxonomy and cultural analysis of intra‐hospital patient transfers

Existing research on intra‐hospital patient transitions focuses chiefly on handoffs, or exchanges of information, between clinicians. Less is known about patient transfers within hospitals, which include but extend beyond the exchange of information. Using participant observations and interviews at a 1,541‐bed, academic, tertiary medical center, we explored the ways in which staff define and understand patient transfers between units. We conducted observations of staff (n = 16) working in four hospital departments and interviewed staff (n = 29) involved in transfers to general medicine floors from either the Emergency Department or the Medical Intensive Care Unit between February and September 2015. The collected data allowed us to understand transfers in the context of several hospital cultural microsystems. Decisions were made through the lens of the specific unit identity to which staff felt they belonged; staff actively strategized to manage workload; and empty beds were treated as a scarce commodity. Staff concepts informed the development of a taxonomy of intra‐hospital transfers that includes five categories of activity: disposition, or determining the right floor and bed for the patient; notification to sending and receiving staff of patient assignment, departure and arrival; preparation to send and receive the patient; communication between sending and receiving units; and coordination to ensure that transfer components occur in a timely and seamless manner. This taxonomy widens the study of intra‐hospital patient transfers from a communication activity to a complex cultural phenomenon with several categories of activity and views them as part of multidimensional hospital culture, as constructed and understood by staff.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145512/1/nur21875.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145512/2/nur21875_am.pd

Practical metrics for establishing the health benefits of research to support research prioritisation

Introduction : We present practical metrics for estimating the expected health benefits of specific research proposals. These can be used by research funders, researchers, and health-care decision makers within low- and middle-income countries (LMICs) to support evidence-based research prioritisation. Methods : The methods require three key assessments: (1) the current level of uncertainty around the endpoints the proposed study will measure; (2) how uncertainty impacts on the health benefits and costs of health-care programmes; and (3) the health opportunity costs imposed by programme costs. Research is valuable because it can improve health by informing the choice of which programmes should be implemented. We provide a Microsoft Excel tool to allow readers to generate estimates of the health benefits of research studies based on these three assessments. The tool can be populated using clinical studies, existing cost-effectiveness models and expert opinion. Where such evidence is not available, the tool can quantify the value of research under different assumptions. Estimates of the health benefits of research can be considered alongside research costs, and the consequences of delaying implementation until research reports, to determine whether research is worthwhile. We illustrate the method using a case study of research on HIV self-testing programmes in Malawi. This analysis combines data from the literature with outputs from the HIV synthesis model. Results : For this case study we found a costing study that could be completed and inform decision making within one year offered the highest health benefits (67,000 DALYs averted). Research on outcomes improved population health to a lesser extent (12,000 DALYs averted) and only if carried out alongside programme implementation. Conclusion : Our work provides a method for estimating the health benefits of research in a practical and timely fashion. This can be used to support accountable use of research funds

Celebrities in Rehab: Who is more at risk?

Does celebrity status make people more likely to need rehab? The purpose of the current study is to better understand the trends in substance abuse rehabilitation admittance among celebrities from 2005 to 2020. The authors became interested in the topic due to its myriad implications within the clinical mental health counseling field. Popular lore indicates a positive correlation between celebrity status and substance abuse. Previous studies have covered the predictive factors of celebrity downfall, but few have gone into specific trends among rehabilitation admittance. This mixed method review is designed to further look at the specific factors in celebrity status and substance use that may be indicative of future admittance. Using a phenomenological approach, this study analyzed n= 47 celebrities who were admitted to rehabilitation centers and the relationships between various factors including the type of industry, gender, age at admittance, type of substance, death related to substance abuse, and age the individuals entered their industries. Secondary data was collected from various publicly available sources. The data is entered and analyzed using Microsoft Excel and Statistical Package for Social Sciences (SPSS). Preliminary findings suggest that musicians have the highest rate of rehabilitation admittance among all celebrity industries, that the average age of celebrities at admission is early to mid-20’s, and that the average age that they become celebrities is early adolescence. These findings are relevant to understanding celebrities’ impact on the public and the need for awareness of the risks of their lifestyles on their mental and physical health as it relates to substance abuse

Estimating the shares of the value of branded pharmaceuticals accruing to manufacturers and to patients served by health systems

Previous studies have estimated that patients served by health systems accrue 59-98% of the value generated by new pharmaceuticals. This has led to questions about whether sufficient returns accrue to manufacturers to incentivize socially optimal levels of R&D. These studies have not, however, fully reflected the health opportunity costs imposed by payments for branded pharmaceuticals. We present a framework for estimating how the value generated by new branded pharmaceuticals is shared. We quantify value in net health effects and account for benefits and health opportunity costs in the patent period and post-patent period when generic/biosimilar products become available. We apply the framework to 12 National Institute for Health and Care Excellence appraisals and show that realized net health effects range from losses of 160%, to gains of 94%, of the potential net health benefits available. In many cases, even in the long run, the benefits of new medicines are not sufficient to offset the opportunity costs of payments to manufacturers, and approval is expected to reduce population health. This cannot be dynamically efficient as it incentivizes future innovation at prices which will also reduce population health. Further work should consider how to reflect these findings in reimbursement policies

Soil Chemical Response to Experimental Acidification Treatments

One of the conclusions reached during the Congressionally mandated National Acid Precipitation Program (NAPAP) was that, compared to ozone and other stress factors, the direct effects of acidic deposition on forest health and productivity were likely to be relatively minor. However, the report also concluded “the possibility of long-term (several decades) adverse effects on some soils appears realistic” (Barnard et al. 1990). Possible mechanisms for these long-term effects include: (1) accelerated leaching of base cations from soils and foliage, (2) increased mobilization of aluminum (Al) and other metals such as manganese (Mn), (3) inhibition of soil biological processes, including organic matter decomposition, and (4) increased bioavailability of nitrogen (N)

A Multi-wavelength Differential Imaging Experiment for the High Contrast Imaging Testbed

We discuss the results of a multi-wavelength differential imaging lab experiment with the High Contrast Imaging Testbed (HCIT) at the Jet Propulsion Laboratory. The HCIT combines a Lyot coronagraph with a Xinetics deformable mirror in a vacuum environment to simulate a space telescope in order to test technologies and algorithms for a future exoplanet coronagraph mission. At present, ground based telescopes have achieved significant attenuation of speckle noise using the technique of spectral differential imaging (SDI). We test whether ground-based SDI can be generalized to a non-simultaneous spectral differential imaging technique (NSDI) for a space mission. In our lab experiment, a series of 5 filter images centered around the O2(A) absorption feature at 0.762 um were acquired at nominal contrast values of 10^-6, 10^-7, 10^-8, and 10^-9. Outside the dark hole, single differences of images improve contrast by a factor of ~6. Inside the dark hole, we found significant speckle chromatism as a function of wavelength offset from the nulling wavelength, leading to a contrast degradation by a factor of 7.2 across the entire ~80 nm bandwidth. This effect likely stems from the chromatic behavior of the current occulter. New, less chromatic occulters are currently in development; we expect that these new occulters will resolve the speckle chromatism issue.Comment: 24 pages, 8 figures, 3 tables, accepted by PAS

Country-level cost-effectiveness thresholds : initial estimates and the need for further research.

Healthcare systems in low- and middle-income countries (LMICs) face considerable population healthcare needs with markedly fewer resources than those in developed countries. The way in which available resources are allocated across competing priorities is crucial in affecting how much health is generated overall, who receives healthcare interventions and who goes without. Cost effectiveness analysis (CEA) is one tool that can assist policy-makers in resource allocation. The central concern in CEA is whether the health gains offered by an intervention are large enough relative to its costs to warrant adoption. This requires some notion of the value that must be realized by an intervention, which is most frequently represented using a cost-effectiveness threshold (CET). CETs should be based on estimates of the forgone benefit associated with alternative priorities which consequently cannot be implemented as a result of the commitment of resources to an alternative. For most health care systems these opportunity costs fall predominantly on health as a result of fixed budgets or constraints on health systems’ abilities to increase expenditures. However,many CEAs to inform decisions in LMICs have used as pirational expressions of value, such as the World Health Organization’s (WHO) recommended CETs (of 1-3 times GDP per capita in a country)which are not based upon opportunity costs. In contrast, we estimate CETs for a number of countries based upon recent empirical estimates of foregone benefit (from the English NHS) and international income elasticities of the value of health. The resulting CETs are much lower than those previously posited by WHO. There is no intention to provide definitive CETs; rather, the study is intended to provoke further research in this area of crucial policy importance and outlines how more robust estimates of CETs could be generated