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Robust Optimal Fragmentation and Dispersion of Near-Earth Objects Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:31:30.000Z<p> During the past 2 decades, various concepts for mitigating the impact threats from NEOs have been proposed, but many of these concepts were impractical and not technically credible. In particular, all non-nuclear techniques require mission lead times larger than 10 years. However, for the most probable impact threat with a warning time less than 10 years, the use of high-energy nuclear explosives in space becomes inevitable for proper fragmentation and dispersion of an NEO in a collision course with Earth. However, the existing nuclear subsurface penetrator technology limits the impact velocity to less than 300m/s because higher impact velocities destroy prematurely the detonation electronic equipment. Thus, an innovative space system architecture utilizing high-energy nuclear explosives must be developed for a worst-case intercept mission resulting in relative closing velocities as high as 5-30km/s. An advanced system concept is proposed for nuclear subsurface explosion missions. The concept blends a hypervelocity kinetic-energy impactor with nuclear subsurface explosion, and exploits a 2-body space vehicle consisting of a fore body and an aft body. These 2 spacecraft bodies may be connected by a deployable boom. The fore body provides proper kinetic impact crater conditions for an aft body carrying nuclear explosives to make a deeper penetration into an asteroid body. For such a complex mission architecture design study, non-traditional, multidisciplinary research efforts in the areas of hypervelocity impact dynamics, nuclear explosion modeling, high-temperature thermal shielding, shock-resistant electronic systems, and advanced space system technologies are required. Expanding upon the current research activities, the Iowa State Asteroid Deflection Research Center will develop an innovative, advanced space system architecture that provides the planetary defense capabilities needed to enable a future real space mission more efficient, affordable, and reliable.</p>
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Hospitals
data.memphistn.gov | Last Updated 2019-10-25T20:04:39.000ZThe data describes the hospital locations in Memphis (and Collierville) with 24 hour Emergency Departments. Each hospital location listed is a facility the Memphis Fire Department's Emergency Medical Services (EMS) Bureau provides transportation services to when patients require immediate medical attention beyond the EMS scope of practice.
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Fire / EMS Heat Map FY12 to Present
data.cityofgainesville.org | Last Updated 2023-09-28T14:19:17.000ZFire / EMS response data for FY2012 up to the most current month available.
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Maternal Opioid Use Hospital Stays 2016-2017 County Health Care Cost Containment Council (PHC4)
data.pa.gov | Last Updated 2022-10-17T20:23:36.000ZCountywide counts of maternal hospital stays with opioid use and countywide rates of maternal hospital stays with opioid use per 1,000 maternal stays. Maternal stays include those involving a delivery, as well as other pregnancy-related stays. Opioid use, or opioid use disorder, is a diagnosis indicating opioid dependence, abuse, or use. Some opioid drugs may be prescribed as part of medication-assisted treatment to relieve withdrawal symptoms and psychological cravings often associated with opioid use disorders. Opioid use during pregnancy can lead to Neonatal Abstinence Syndrome (NAS) for newborns. This analysis is restricted to maternal hospital stays for Pennsylvania-state residents who were hospitalized in Pennsylvania hospitals. Disclaimer: PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers. PHC4 agents and staff make no representation, guarantee, or warranty, expressed or implied that the data received from the hospitals are error-free, or that the use of this data will prevent differences of opinion or disputes with those who use published reports or purchased data. PHC4 will bear no responsibility or liability for the results or consequences of its use.
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Governor's Executive Budget Program Measures SFY 2017 - Current Annual Statewide Health
data.pa.gov | Last Updated 2023-03-22T22:37:44.000ZThe information included in this dataset is for the Governor’s Executive Budget and provides key Program Measures by Agency or Office. <br> The mission of the Department of Health is to promote healthy behaviors, prevent injury and disease, and to assure the safe delivery of quality health care for all people in Pennsylvania.<br> To accomplish this mission, the department works collaboratively with public and private community partners to facilitate the development of an effective public health system. The department licenses and regulates a variety of health facilities, and provides outreach, education, prevention and treatment services. Community-based groups receive grants to provide essential services to the commonwealth’s citizens including programs for women and children, nutrition, immunization, diagnosis and treatment of certain blood and communicable diseases, cancer control and prevention.
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Health Care In An Integrated System (LGHC Indicator)
healthdata.gov | Last Updated 2023-07-25T18:43:43.000ZThis is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Percentage of Californians who receive care in an integrated system, defined as a Health Maintenance Organization that is tracked by the Department of Managed Health Care. Managed care refers to health care coverage that organizes doctors, hospitals and other providers into groups in order to enhance the quality and cost effectiveness of medical treatment. Today, 58 California counties receive their health care through six main models of managed care: Two-Plan, County Organized Health Systems (COHS), Geographic Managed Care (GMC), Regional Model (RM), Imperial, and San Benito. County enrollment information is compiled by Department of Managed Health Care Licensed Full Service Health Plans. This enrollment information is not standardized and may be designated by the member’s place of employment or home resulting in reporting inaccuracies.
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DSNY Frequencies
data.cityofnewyork.us | Last Updated 2024-04-10T10:11:36.000ZCitywide DSNY frequency boundaries for collection operation (refuse, recycling, organics, bulk items). These boundaries are sub-divisions of DSNY sections.
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RSBS: Single Family On-Site Inspections, Site-Level, New York State Residential Statewide Baseline Study
data.ny.gov | Last Updated 2019-11-15T22:01:57.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data collected from a total of 700 on-site inspections of single family buildings. The types of data collected during the inspections covers property characteristics, heating and cooling equipment, water heating equipment, appliances, lighting, clothes washing and drying, miscellaneous energy using equipment, and observable operating behavior. The objective of the inspections was to enhance the residential baseline study with detailed on-site information and, to the degree possible, verify self-reported data from the phone and web surveys.
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Combining Discrete Element Modeling, Finite Element Analysis, and Experimental Calibrations for Modeling of Granular Material Systems Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:43:27.000ZThe current state-of-the-art in DEM modeling has two major limitations which must be overcome to ensure that the technique can be useful to NASA engineers and the commercial sector: the computational intensive nature of the software, and the lack of an established methodology to determine the particle properties to best accurately model a given physical system. The proposed work will address both of these limitations. We will look at two approaches to overcome the particle count limitations of DEM: investigate the scaling up of particle size; and combine FEA and DEM to look at problems of densely packed solids. We will explore regimes where DEM and FEA are applicable and establish a coupling methodology that can be further developed during phase II. To address the lack of an established methodology to determine the particle properties to best accurately model a given physical system, we will investigate several small scale experiments that can be used to characterize DEM models. The proposed work will advance the state-of-the-art in DEM. At the end of phase I we will show the feasibility of developing modeling approaches to overcome the main limitations of DEM.
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Influenza Surveillance Weekly
data.cityofchicago.org | Last Updated 2024-05-10T17:30:11.000ZThis dataset includes aggregated weekly metrics of the surveillance indicators that the Department of Public Health uses to monitor influenza activity in Chicago. These indicators include: - Influenza-associated ICU hospitalizations for Chicago residents, which is a reportable condition in Illinois (HOSP_ columns) - Influenza laboratory data provided by participating sentinel laboratories in Chicago (LAB_ columns) - Influenza-like illness data for outpatient clinic visits and emergency department visits. (ILI_ columns) For more information on ILINET, see https://www.cdc.gov/flu/weekly/overview.htm#anchor_1539281266932. For more information on ESSENCE, see https://www.dph.illinois.gov/data-statistics/syndromic-surveillance All data are provisional and subject to change. Information is updated as additional details are received. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources.