Madison County, Kentucky Hazardous Materials Commodity Flow Analysis

The results of a commodity flow analysis of hazardous materials for KY Highway 21 (KY-0021) and KY Highway 627 (KY-0627) conducted by Western Kentucky University, in partnership with the Madison County Local Emergency Planning Committee (LEPC), are presented within this report. This report specifically focuses on the portions of these highways located in Madison County, Kentucky. Figure 1.1 shows the location of Madison County in relationship to the state of Kentucky. The purpose of this report is to present information regarding the patterns of hazardous materials transportation along KY-0021 and KY-0627 as observed from August 4, 2014 through August 15, 2014. This report also provides an analysis of incidents involving hazardous materials over the period of 2005 through 2014 in Madison County. Finally, this report summarizes these observations and provides recommendations based on these observations. The commodity flow analysis was necessary in order to provide the Madison County LEPC with information about hazardous materials transport patterns so that they can better prepare for potential incidents and releases of hazardous materials along KY-0021 and KY-0627. Analysis of hazmat incidents in Madison County provided an evaluation of significant hotspots where further risk assessments should be conducted. The data collected will assist in the emergency planning process by providing valuable information about frequently observed hazardous materials within the duration of the study

A model of inflammatory arthritis highlights a role for oncostatin M in pro-inflammatory cytokine-induced bone destruction via RANK/RANKL

Oncostatin M is a pro-inflammatory cytokine previously shown to promote marked cartilage destruction both in vitro and in vivo when in combination with IL-1 or tumour necrosis factor alpha. However, the in vivo effects of these potent cytokine combinations on bone catabolism are unknown. Using adenoviral gene transfer, we have overexpressed oncostatin M in combination with either IL-1 or tumour necrosis factor alpha intra-articularly in the knees of C57BL/6 mice. Both of these combinations induced marked bone damage and markedly increased tartrate-resistant acid phosphatase-positive multinucleate cell staining in the synovium and at the front of bone erosions. Furthermore, there was increased expression of RANK and its ligand RANKL in the inflammatory cells, in inflamed synovium and in articular cartilage of knee joints treated with the cytokine combinations compared with expression in joints treated with the cytokines alone or the control. This model of inflammatory arthritis demonstrates that, in vivo, oncostatin M in combination with either IL-1 or tumour necrosis factor alpha represents cytokine combinations that promote bone destruction. The model also provides further evidence that increased osteoclast-like, tartrate-resistant acid phosphatase-positive staining multinucleate cells and upregulation of RANK/RANKL in joint tissues are key factors in pathological bone destruction

The influence of mach number and over-pressure on the structure of supersonic gas jets

The Mach number is the primary parameter in determining the intrinsic driving properties, and effect on the environment of a supersonic jet. In the most basic form, a jet is released when a wall of a large high pressure gas reservoir is punctured. The resulting high-pressure jet contains a configuration of shocks which continue to disturb the environment after the initial bow shock has passed. Here we perform numerical simulations to determine the properties attributable to pure adiabatic hydrodynamic effects, taking a uniform stream out of a circular nozzle. We take a range of Mach numbers that, along with the jet over-pressure, determine the flow pattern and shock locations. We distinguish conditions which generate Mach shock discs rather than a diamond pattern of oblique regular reflections. Potential observational diagnostics explored include the disc size, the distance from the nozzle, and oscillations in shock positions. Rapid oscillations occur in the divergent-convergent pattern through a feedback/hysteresis effect promoted by the ambient medium. The underlying flow patterns are independent of relative jet density but heavy jets display both lower amplitude and lower frequency oscillations. We also study the energy transferred into the environment. Over-pressured jets may contribute to noise and sound wave generation through screeching. However, these oscillations in the near-field are not sufficiently significant to regulate star and galaxy formation. We expect that upcoming high dynamic range and resolution observations will increasingly detect the shock patterns as jet gas transits from protostellar and galactic cores

TREATMENT OF PARKINSON'S DISEASE USING THE CAYCE WET CELL BATTERY

Parkinson's disease, a condition involving progressive deterioration of the nervous system, is at present incurable by conventional medicine. Here we report on a study in which we have evidence of clinical improvement from using a treatment modality recommended by Edgar Cayce, a subtle energy device known as the wet cell battery. Cayce said that the wet cell would transfer vibratory energy into the body, and specifically recommended it for neurological disorders, but there have been no previous clinical studies of this modality. T en participants with Parkinson's disease used the wet cell, a chemical battery, with gold and silver solutions, for a four-month treatment period at home. Nine of the ten people followed the protocol consistently (but none completely or perfectly). They averaged slight to moderate improvement in Parkinson's disease symptoms over four months, based on observations by researchers and subjective questionnaires. Over the long term (three years), one participant obtained almost complete remission of his Parkinson's disease symptoms. Since there was no control group the placebo effect cannot be ruled out. However, many minor symptoms showed interesting improvement in several individuals. For example, two people reported regaining their sense of smell, and one had improved color vision. Several people had more facial emotional expressiveness, and reported reduced tremors

Madison County, Kentucky Hazardous Materials Commodity Flow Analysis

This report presents the results of a Commodity Flow Analysis of Hazardous Materials for Interstate-75 (I-75) (North and South Bound lanes) conducted by Western Kentucky University in partnership with the Madison County (Kentucky) Local Emergency Planning Committee (LEPC). The only Kentucky County within the study area is Madison County as shown in Figure 1.1. The purpose of report is to give information on patterns of hazardous materials being transported along I-75 as observed from July 25th 2011 to August 5th 2011. A secondary purpose is to summarize incidents involving hazardous materials over the previous 6 years (January 2006 – June 2011). Finally, this report assesses survey information collected from fixed facilities that ship and receive hazardous materials in the I-75 highway. Commodity flow analysis is necessary in order for the LEPC to prepare for future hazardous material releases that may occur along this section of I-75. Data collected from this study will aid the emergency planning process for specific hazardous materials that were observed to frequent the study area during the study period

Reproducible big data science: A case study in continuous FAIRness.

Big biomedical data create exciting opportunities for discovery, but make it difficult to capture analyses and outputs in forms that are findable, accessible, interoperable, and reusable (FAIR). In response, we describe tools that make it easy to capture, and assign identifiers to, data and code throughout the data lifecycle. We illustrate the use of these tools via a case study involving a multi-step analysis that creates an atlas of putative transcription factor binding sites from terabytes of ENCODE DNase I hypersensitive sites sequencing data. We show how the tools automate routine but complex tasks, capture analysis algorithms in understandable and reusable forms, and harness fast networks and powerful cloud computers to process data rapidly, all without sacrificing usability or reproducibility-thus ensuring that big data are not hard-to-(re)use data. We evaluate our approach via a user study, and show that 91% of participants were able to replicate a complex analysis involving considerable data volumes