Data Base for Deep Wells in Indiana

A part of this data base was originally compiled during research on the Trenton Limestone by Brian D. Keith. Because of increased interest by the petroleum industry in deeper subsurface units in Indiana, we have expanded the data base and made it available by publication. This data base is a part of the computerized subsurface file of the Petroleum Section of the Indiana Geological Survey. The data base in the Petroleum Section contains pertinent information from all known records associated with petroleum-related wells in Indiana. This deep-well data base includes only wells that have penetrated the Black River Group or deeper stratigraphic units in Indiana. We intend to update the deep-well data base once a year. This updated data base will be available from the Geological Survey as an annual addendum to this report

Data Base for Deep Wells in Indiana

Indiana Geological Survey Occasional Paper 46A part of this data base was originally compiled during research on the Trenton Limestone by Brian D. Keith. Because of increased interest by the petroleum industry in deeper subsurface units in Indiana, we have expanded the data base and made it available by publication. This data base is a part of the computerized subsurface file of the Petroleum Section of the Indiana Geological Survey. The data base in the Petroleum Section contains pertinent information from all known records associated with petroleum-related wells in Indiana. This deep-well data base includes only wells that have penetrated the Black River Group of deeper stratigraphic units in Indiana. We intend to update the deep-well data base once a year. This updated data base will be available from the Geological Survey as an annual addendum to this report.Indiana Department of Natural Resource

Parametric investigation of radome analysis methods

Issued as Annual technical report, and Final technical reports v. 1-4, Project no. E-21-605, and Engineering Experiment Station project no. B-494-004 (continues School of Electrical Engineering projects nos. E-21-612 and E-21-636 and Engineering Experiment Station projects nos. B-494-000/001/002/003

AN IRRIGATION MODEL FOR MANAGEMENT OF LIMITED WATER SUPPLIES

A two-stage simulation/mathematical programming model is presented for determining the optimal intraseasonal allocation of irrigation water under conditions of limited water supply. The model is applied to a series of water shortage scenarios under both surface and center pivot irrigation. Economically efficient irrigation management is shown to involve the coordination of a number of managerial decisions, including irrigation scheduling, crop substitution, the adoption of improved irrigation labor practices, and idling land. The results indicate that significant opportunities exist for conserving water in the study area under both surface and center pivot irrigation.Crop Production/Industries, Resource /Energy Economics and Policy,

Cost-efficiency of specialist inpatient rehabilitation for working-aged adults with complex neurological disabilities: A multicentre cohort analysis of a national clinical dataset

OBJECTIVES: To evaluate functional outcomes, care needs and cost-efficiency of specialist rehabilitation for a multicentre cohort of inpatients with complex neurological disability, comparing different diagnostic groups across 3 levels of dependency. DESIGN: A multicentre cohort analysis of prospectively collected clinical data from the UK Rehabilitation Outcomes Collaborative (UKROC) national clinical database, 2010–2015. SETTING: All 62 specialist (levels 1 and 2) rehabilitation services in England. PARTICIPANTS: Working-aged adults (16–65 years) with complex neurological disability. Inclusion criteria: all episodes with length of stay (LOS) 8–400 days and complete outcome measures recorded on admission and discharge. Total N=5739: acquired brain injury n=4182 (73%); spinal cord injury n=506 (9%); peripheral neurological conditions n=282 (5%); progressive conditions n=769 (13%). INTERVENTION: Specialist inpatient multidisciplinary rehabilitation. OUTCOME MEASURES: Dependency and care costs: Northwick Park Dependency Scale/Care Needs Assessment (NPDS/NPCNA). Functional independence: UK Functional Assessment Measure (UK Functional Independence Measure (FIM)+FAM). Cost-efficiency: (1) time taken to offset rehabilitation costs by savings in NPCNA-estimated costs of ongoing care, (2) FIM efficiency (FIM gain/LOS days), (3) FIM+FAM efficiency (FIM+FAM gain/LOS days). Patients were analysed in 3 groups of dependency. RESULTS: Mean LOS 90.1 (SD 66) days. All groups showed significant reduction in dependency between admission and discharge on all measures (paired t tests: p<0.001). Mean reduction in ‘weekly care costs’ was greatest in the high-dependency group at £760/week (95% CI 726 to 794)), compared with the medium-dependency (£408/week (95% CI 370 to 445)), and low-dependency (£130/week (95% CI 82 to 178)), groups. Despite longer LOS, time taken to offset the cost of rehabilitation was 14.2 (95% CI 9.9 to 18.8) months in the high-dependency group, compared with 22.3 (95% CI 16.9 to 29.2) months (medium dependency), and 27.7 (95% CI 15.9 to 39.7) months (low dependency). FIM efficiency appeared greatest in medium-dependency patients (0.54), compared with the low-dependency (0.37) and high-dependency (0.38) groups. Broadly similar patterns were seen across all 4 diagnostic groups. CONCLUSIONS: Specialist rehabilitation can be highly cost-efficient for all neurological conditions, producing substantial savings in ongoing care costs, especially in high-dependency patients