BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 760973

## Value of an EHR to Liability Insurers

- Presented to AHIC/Electronic Health Records Workgroup
**February 22, 2007**

**Denise A. Funk, CPCU**
**Executive Vice President, Chief Executive Officer**

- Connecticut Medical Insurance Company                                                                                                   80 Glastonbury Boulevard . PO Box 71                                                                                           Glastonbury, CT 06033                                                                                                        www.cmic.biz

## Can an EHR Impact Claim Payments? 

- Connecticut’s total payments were **$103,900,750** in 2005.
- Connecticut’s average payment was **$731,695** - the Nation’s highest.
- Massachusetts's total payments were **$123,023,250** in 2005.
- CMIC’s 2005 legal defense cost for paid cases was **$4,050,000**.

**2005 National Practitioner Data Bank Reports**

## Loss Prevention”The Best Claim is One that Never Happens”

- Legible, accurate and complete treatment documentation
- Systematic follow-up for tests, procedures, medications
- Prevention of medical record alteration
- Continuity of care for all physicians treating the same patient
- Eliminate misfiling of critical medical information
- Track patient visits, missed appointments and compliance

**Benefits of a Fully Integrated EHR**

## Litigation Decision-makingDefend or Settle??

**Medical Records Are Always a Principal Focus in **
**Malpractice Litigation**
- Does the medical record “speak for Itself” in describing treatment?

- If yes, a plaintiff’s attorney may choose not to file a lawsuit regardless of the outcome.
- If yes, the defense of a lawsuit may be greatly facilitated.
- If no, a lawsuit may be impossible to defend regardless of the actual medical treatment rendered.

*Two-thirds of all lawsuits are closed with *_***no***_* payment, but CMIC paid ****$3,800,000 ****in legal defense costs for these cases in 2005.**** ***

##    Combining a sound clinical practice                with an integrated EHR should have an impact on malpractice premiums. 

***Connecticut Medical Insurance Company (CMIC) ****was formed in 1984 to provide a competitively priced, service-oriented, financially strong, long-term source of professional liability insurance to Connecticut’s physicians.  CMIC is owned and managed by its physician and healthcare policyholders.  CMIC currently writes over 2,300 policies for physicians, dentists, podiatrists, chiropractors and other healthcare providers located in Connecticut and Massachusetts.*
# Presentation: 887600

## Statistical Assessment of Impact of Dynamic Message Signs on Highway Traffic Redistribution

- Jessica Hernandez
- Co-Authors:
- Dr. Y-Chang Chiu and Hua Yang
- University of Texas at El Paso

## Agenda

- Background
- Objective
- Introduction
- Study area
- Data collection
- Research Methodology
- Data analysis
- Conclusion

## Background

- Widely used ITS system component
- Primary use: disseminate traffic (roadway) conditions to traveling public
- Limited understanding of DMS impact on traffic

## Objective

- To infer the influence of DMS on traffic diversion during peak and off-peak hours subsequent to a highway incident by focusing on:
- Whether DMS cause higher traffic diversion and the magnitude
- Whether speed and DMS jointly influence diversion

## Scenarios

- Normal Conditions

- Decreased Speed

- DMS Presence

## Selected Study Area

- Availability of highway traffic data in quasi real time
- Selection criteria:
- Availability of ramp and mainlane loop detector data
- DMS in close upstream proximity
- Incident occurrence downstream

## Project Location Sites

## Data Collection

- Data from every Wednesday and Thursday in Jan, Feb, March and April 2004
- Data collected included:
- Weather conditions
- Traffic flow, occupancy, and speed (mainlane)
- Traffic flow (exit ramp)
- DMS messages
- Time at message display

## Research Methodology

- Two sample t-test at 0.05 level of significance

- Comparison of diversion rate for days with and without signs
- The Box-Cox transformation was applied to data that is not normally distributed

- Relationship between diversion rate, speed and DMS presence
- Regression analysis

## Research Framework

## Location 1 Peak Hour (L1PH)

- 2.66 (t-statistic) > 1.98 (critical value)
- Average diversion is higher for without sign conditions

## Location 1 Off-Peak (L1OP)

- -5.6 (t-statistic) < -1.97 (critical value)
- Average diversion rate is higher for conditions with signs

## Location 2 Off-Peak (L2OP)

- Average diversion rate is higher for conditions with signs

## Location 3 Off-Peak (L3OP)

- -12.5 (t-statistic) < -1.99 (critical value)
- Average diversion rate is higher for conditions with signs

## Diversion Rate and Speed

- L1PH = 0.1710 + 0.0018 Speed – 0.0285 DMS
- R2 = 18%
- L1OP = 0.1691 + 0.0021 Speed + 0.0021 DMS
- R2 = 22%
- L2OP = -3.703 + 0.0559 Speed + 0.0846 DMS
- R2 = 58%
- L3OP = 0.0812 + 0.0008 Speed + 0.0240 DMS
- R2 = 82%

## Conclusion

- Diversion Rate Comparison
- DMS cause higher average diversion rates during off peak hours
- During peak hours, DMS conditions show lower average diversion rates
- Diversion rate, speed and DMS
- Speed and DMS are positively related to diversion rate during off-peak hours
- Lowest R2 value attributed to L1PH
- Traffic during peak hours behaves differently

## Acknowledgements

## Open Forum
# Presentation: 680400

## Introduction to Standards Paul M. Fransioli, CCM

- AMS Short Course on
- Introduction to Measurements and
- Observation Techniques
- January 14, 2001 - Albuquerque, New Mexico

- Standards

- 01/14/2001

## Introduction to Standards

- Topics to be covered
- Introduction
- Consensus Standards Process
- ASTM Standards
- ANSI/ANS Standard
- ISO Standards

- Standards

- 01/14/2001

## Introduction

- Growing interest in quality control and quality assurance, including U.S. government directive on use of consensus standards
- Complementary roles of regulatory agency monitoring guidance and consensus standards
- Agency guidance for specific purpose measurements
- Standards have basic methods, instrument specifications, and broad scope monitoring requirements

- Standards

- 01/14/2001

## Consensus Standards Process

- ASTM and ISO Meteorology subcommittees are under the respective Air Quality committees
- Joint participation by manufacturers and users
- Consensus implies basic agreement among all participants
- Formal voting process ensures that problem situations can be fully addressed
- Standards are periodically re-affirmed

- Standards

- 01/14/2001

## ASTM Standards (Subcommittee D22.11)see ASTM Volume 11.03

- Three types of meteorology standards
- Test method: define characteristics (4)
- Practice: perform an action (6)
- Terminology: definitions (2)
- Three other types of standards
- Specification, Guide, Classification

- Standards

- 01/14/2001

## ANSI/ANSAmerican National Standards Institute andAmerican Nuclear Society

- Two groups of meteorologists from the U.S. Department of Energy and the nuclear industry produced the new meteorological monitoring Standard for nuclear facilities: ANSI/ANS-3.11-2000.
- Other standards being considered

- Standards

- 01/14/2001

## International Standards OrganizationTechnical Committee 146 / Subcommittee 5

- Member countries have delegated representatives
- U.S. Secretariat is ANSI, assisted by ASTM
- TC146 has 6 subcommittees, 5 are air quality with 24 P-members, 39 O-members, 25 L-members
- SC5 has 9 P-members, 7 O-members (in addition to the Secretariat), and a Liaison with the World Meteorological Organization

- Standards

- 01/14/2001

## International Standards OrganizationTechnical Committee 146 / Subcommittee 5

- Draft Standards in process on:
- Acoustic wind and temperature instruments and measurement methods
- Classical wind and temperature instruments
- Remote sensing, atmospheric model comparisons

- Standards

- 01/14/2001

## Conclusions

- Consider using existing standards in planning both routine and special field measurement programs.
- Get involved with the process -- ASTM and ISO committee meetings are often held in conjunction with AMS Annual Meetings.  This includes Friday, January 19 at 1:30 p.m.

- Standards

- 01/14/2001
# Presentation: 006499

## Distribution and Location of Genetic Effects for Dairy Traits

## Experimental Design

**Predict April 2008 daughter deviations from August 2003 PTAs**
**Similar to Interbull trend test 3 **
**3576**** older Holstein bulls**
**1759**** younger bulls  (total = ****5335****)****‏**
**Results computed for ****27 traits****: 5 yield, 5 health, 16 conformation, and Net Merit (NM$)****‏**

## Linear and Nonlinear Predictions

**Linear model**
**Infinitesimal alleles model in which all loci have non-zero effects**
**Nonlinear models**
**Model A:**** infinitesimal alleles with a heavy-tailed prior**
**Model B:**** finite locus model with  normally-distributed marker effects**
**Model AB:**** finite locus model with a heavy-tailed prior**

## Regressions for marker allele effects 

## R-square values comparing linear to nonlinear genomic predictions

## Largest Effects

**Fat %:**** largest effect on BTA 14 flanking the DGAT1 gene, with lesser effects on milk and fat yield**
**Protein %:**** large effects on BTA 6 flanking the ABCG2 gene**
**Net Merit:**** a marker on BTA 18 had the largest effect on NM$, in a region previously identified as having a large effect on fertility**

## Slide 7

## Dystocia Complex

**Markers on ****BTA 18**** had the largest effects for several traits:**
**Dystocia:**** Sire and daughter calving ease**
**Conformation:**** rump width, stature, strength, and body depth**
**Efficiency:**** longevity and net merit**
**Large calves contribute to shorter PL and decreased NM$**

## Slide 9

## SNP on X Chromosome

**Each animal has two evaluations**
**Expected genetic merit of daughters**
**Expected genetic merit of sons**
**Difference is sum of effects on X**
**SD = 0.1 ****σ****G****, smaller than expected**
**Correlation with sire’s daughter vs. son PTA difference was significant (*****P***** < 0.0001), regression close to 1.0 **

## X, Y, Pseudo-autosomal SNPs

**487 SNPs**

**35 SNPs**

**0 SNPs**

**35 SNPs**

## Conclusions

**A heavy-tailed model provides better fits to the data than a linear or finite loci models.**
**Markers on BTA 18 had large effects on net merit, longevity, calving ease, and conformation.**
**Results validate quantitative genetic theory, most notably the infinitessimal model.**

## Acknowledgments

**Funding:**** **
**NRI grants 2006-35205-16888, 16701**
**CDDR Contributors (NAAB, Semex)****‏**
**Genotyping and DNA extraction:**
**BFGL, U. Missouri, U. Alberta, GeneSeek, GIFV, and Illumina**
**Computing**** from AIPL staff**

## Net Merit by Chromosome for O Man
# Presentation: 462046

## Y. Kaufman, L. Remer, M. Chin, NASA;  Didier Tanré, CNRS, Univ. of Lille

**Y. Kaufman, L. Remer, M. Chin, NASA;  Didier Tanré, CNRS, Univ. of Lille**

**Aerosol measurements & models MODIS & AERONET  vs. GOCART **

## Products:

- 	**MODIS - ocean: ****	****Aerosol optical thickness**
**	****	****	****	****fraction in fine mode**
**	****	****	****	****Effective radius**
**	****	****	****	****spectral flux at TOA**
**	****MODIS - land:****	****Aerosol optical thickness**
**	****	****	****	****~ fraction in fine mode**
**	****AERONET: ****	****Aerosol optical thickness**
**	****	****	****	****fraction in fine mode**
**	****	****	****	****size distribution**
**	****	****	****	****absorption/scattering**
**	****	****	****	**

## MODIS vs. AERONET (Aug 2000 to Nov. 2001) 

- Rob Levy & Lorraine Remer

- MODIS vs. AERONET (Aug 2000 to Nov. 2001)

## Allen Chu

## Average optical thickness

## Can we “fingerprint” the anthropogenic factor, 		and .... 

**	****	****Estimate the aerosol forcing****	****	****	****	****	****       on climate to change ?**

## MODIS

- Fine aerosol

**            ****0.0                        0.2                        0.4**

- Coarse aerosol

**MODIS**

**GOCART Model**** - ****M. Chin**

- Fine anthropogenic

- Coarse aerosol

- Natural fine aerosol

**September 2000 -**_** **_Kaufman, Tanré, Boucher, A new satellite view of aerosols in the climate system, review for Nature, Sept. 2002_** **_

## 	Global results - September 2000		Modis monthly composite aerosol fine and coarse mode & aerosol forcing of climate

**Coarse mode aerosol**

**Fine mode **

- Aerosol optical thickness

## Aerosol AERONET climatology (Dubovik et al.,JAS 2002)

- Aerosol radius

- fine

- coarse

- fine

- coarse

## Aerosol transport: 2/16: Africa --> Europe;  4/16: China-->USA      5/5: Mexico, Arabian sea--->7/12: dust,smoke Africa; 		8/26: smoke from South America and Africa

## Slide 11

## Sea Salt

- Saharan dust

- Smoke/Pollution?

- Dust and pollution

## Pollution/dust in India

- Sea Salt

- Saharan dust

- Smoke
- Pollution?

## Smoke

- pollution

## Slide 15

## Slide 16

## Analysis:

## Aug. 26

**Aug. 26**

- Ocean

## Aug. 26

- Ocean

- Ocean

**Aug. 26**

## April 16

**April 16**

- Ocean

## Next?

**	****Observational based - ****	****	****	****	****	****	****	****	****	****MODIS & AERONET**
**anthropogenic aerosol global forcing of climate - ****	****	****	****	****	****in cloud free conditions**
**- Aerosol forcing using MODIS+CERES (U. Alabama)**
**- Improve aerosol simulations - GOCART****	**
**- Use in aerosol assimilation - NCAR**
**- Use in climate models - GISS**
# Presentation: 432595

## Track DDeveloping Effective Safety Culture

- Doug Shoop
- November 30, 2007

## ISM as the Foundation 
Management Leadership and Effective Communications
Worker Involvement and Ownership
Implementing HPI tools in key processes
Dealing with External Pressures and Guarding against Complacency

- Management Leadership and Effective Communications
- Worker Involvement and Ownership
- Implementing HPI tools in key processes
- Dealing with External Pressures and Guarding against Complacency

- Developing Effective Safety Culture- Key Areas of Future Focus -

## Integrated Safety Management

**Functions**

**Principles**

**HPI**

**VPP**

**Integrated Safety Management**

**Committed**
**Leadership**

**Empowered**
**Workers**

**Shared Desire**
**For Excellence**

**Safety Culture**

**Figure adopted from: Jim Collins, **_**Good to Great**_**; HarperCollins Publishers, NY; 2001.**

**Buildup**

**Breakthrough**

**Leadership**

**Oversight**

**HEDGEHOG CONCEPT: Safety is on the critical path to mission.**

## - On the Road to GREAT -Apply HPI

- ISMS provides the necessary foundation
- Use HPI early in Work Planning Process
- Evaluate Critical Steps
- Identify Error Precursors
- Use Behavior Observations & Feedback
- Use HPI during Critiques & Accident Investigations to Identify Latent Organizational Weaknesses
- Apply Culpability Matrix & Develop Just Culture

## - On the Road to GREAT -Provide Committed Leadership

- Provide Clear Expectations (Language Counts)
- Actions Speak Louder Than Words
- Develop Trust and Respect
- Look for System Solutions
- Ensure Management Time in the Plant/Field
- Balance Priorities (Production and Safety)
- Ensure Middle Management Understands
- Provide Continuity of Leadership

## - On the Road to GREAT -Empower Workers

- The VPP provides an excellent approach
- Develop TRUE Partnerships with Workers
- Empower Workers to become Leaders and Safety Owners
- Develop Safe People not Safe Workers
- Reward Desired Behavior
# Presentation: 720400

## Global IOOS Milestone:  New Platforms in Service

-      FY2006 Target: 761 new ocean observing platforms deployed and reporting;
-      Apr 2006: 418 total ocean observing platforms (target 444); 407 ARGO floats

- Apr. 06

- G

## GPRA:  Reduce the Error in Global Measurement of Sea Surface Temperature

**Reduce the error in global measurement of Sea **

**surface Temperature**

-      FY06 target: 0.5 °C;     Long-term Target: Error of 0.2 °C by 2009.

- More rapid expansion of the in situ network over the next several years will minimize the satellite bias error, enabling more accurate global sea surface temperature from a combination of satellite and in situ measurements.

- _Satellite bias error_: the systematic difference between satellite-derived vs. *in situ *actual measurement of sea surface temperature

- Dec. 05

- G
# Presentation: 216412

## The Role of Saharan Dust on Cloud Droplet and Ice particle Production: Observations from NAMMA

- by
- Andrew Heymsfield, Aaron Bansemer and Cynthia Twohy
- NCAR, Oregon State University
- Collaborators: Simone Tanelli
- Contributing Data: LASE, DLH, MMS, APR2

## Overview

- Does dust influence the spin up of tropical cyclones into hurricanes through its effect on cloud microphysical and radiative properties and on the vertical profile of latent heating??
- Mineral dust is one of the main natural sources of atmospheric aerosol particles
- Mineral dust particles (insoluble) are often coated with sulfate as well as with other soluble substances  [e.g., _[Fonner ](javascript:openreferences('fonn92'))__[and ](javascript:openreferences('fonn92'))__[Ganor](javascript:openreferences('fonn92'))__[, 1992](javascript:openreferences('fonn92'))_] such as sea salt.
- The soluble coating of the mineral dust particles could significantly change their ability to serve as cloud condensation nuclei (CCN)
- Dust particles are relatively good ice forming nuclei (IFN), and coating them with soluble substances could enhance their ability to act as IFN.
- The connection between aged mineral aerosols and cloud microphysical properties has been modeled but rarefy observed, especially for maritime-based clouds
- This study will investigate the connection between enhanced dust aerosols below cloud base and cloud microphysical properties.

## Slide 3

## Dust particle collected during NAMMA project that is coated with soluble 

- Dust particle collected during NAMMA project that is coated with soluble
- material. This makes it potentially active as both a cloud condensation
- nucleus and an ice nucleus. Length of central particle is about 0.2 microns.

## CAS Optical Block

**CAS Optical Block**

**CAS Shrouded**
**Inlet**

**LWC Sensor**

**Pitot**

**CIP**

## Slide 6

## Slide 7

## m

- c

## Slide 9

## Slide 10

## Slide 11

## Slide 12

## Slide 13

## Slide 14

## Slide 15

## Slide 16

## Summary and Conclusions

- Dust aerosols size distributions are broad
- High droplet concentrations, much above those expected for maritime situations, are found in the dust layers, influencing drop coalescence
- The liquid water zones within vigorous convection are substantially sub-adiabatic, indicating unloading of the updrafts of the large drops
- Nonetheless, high droplet concentrations are found in the strong updrafts in mid-levels
- Given the observed supersaturations, this would suggest that there is new droplet activation in the updrafts
- These results have substantial implications for the vertical distribution of latent heating and radiative properties.
- A statistical analysis of the data in regions where shattering of particles on the CAS inlet is not an issue will be conducted
- The results will dovetail with the aerosol residual studies underway with the Twohy (CVI) and  Anderson (SP2) studies and with APR2 efforts.
# Presentation: 924651

## Congressional Budget Office

**The Medicare **
**Advantage Program: **
**Enrollment Trends and **
**Budgetary Effects**
**April 11, 2007**

## Enrollment in Medicare Advantage as a Percentage of Total Enrollment in Medicare, 1995 to 2017

- Percentage of Part A Enrollment

## Estimated Budgetary Effects of Policies Capping the Benchmarks under the Medicare Advantage Program

- Source: Dartmouth Atlas of Health Care.

| Limit on MA |  |  |
| --- | --- | --- |
| Benchmarks as a | Change in Direct Spending (Billions of dollars) |  |
| Percentage of FFS Costs | 2008-2012 | 2008-2017 |
| 100 | -54 | -149 |
| 110 | -32 | -90 |
| 120 | -15 | -42 |
| 130 | -6 | -18 |
| 140 | -2 | -7 |
| 150 | -2 | -4 |
# Presentation: 722395

## Sounding Rocket Validation of Low-Cost Launch Vehicle Technology Microcosm, Inc.Torrance, CA

**Innovation**
- Small suborbital rocket.

**Accomplishments**
- Development stage:  Prototype
- Constructed vehicle and launcher -- scheduled flight test for 1/99.
**Commercialization**
- Product/service name or trademark name:  ScorpiusTM
- US Patent No. 5799902 issued 9/98.
- Primary target/potential market sectors:  Microgravity experiments, sounding rockets, and target vehicles.
- Very strong interest expressed by military community in low-cost target vehicle.
- Unique competitive advantage:  Cost estimated at one-half to one-third of existing vehicles.

**Government/Science Applications**
- Potential use by the US Air Force, US Navy, US Army, and BMDO, for use during weapons testing and operations training.
- Received NASA SBIR Phase III contract for $198,421 as a continuation of their Phase II effort.
- When fully developed as a launch vehicle, saving could be in excess of $100M/year in suborbital vehicles alone.

- First SR-S Vehicle on Erector-Launcher

- Points of Contact:
-    -  NASA (Denise Swain; 256/544-8112)
-    -  Microcosm, Inc. (Alice Wertz; 310/320-0555)
- 1995 SBIR Phase 2; NAS8-97013

- Marshall Space Flight Center
- 	Date of Update:	1/26/99
- 	Success Story #:	8-033
# Presentation: 142698

## An Update on AIRS Validation Activities at Dome Concordia, Antarctica

- Von P. Walden, Brad Halter, Lance Roth, U. Idaho
- Bob Stone, NOAA-CMDL
- Dave Tobin, U. Wisconsin
- 25-27 February 2003	AIRS Science Team Meeting		NOAA, Camp Springs, MD

## Validation Goals

- T and H2O profiles
- Radiance validation
*Cloud properties*

## Dome Concordia

- French / Italian station
- 75 S, 123 E
- Currently a “summer station”
- First winter-over in 2004 or 2005.

## Recent Field Season

- Dome Concordia
- 28 December 2002 – 2 February 2003
- Data Acquistion Period:
- 13 January 2003 – 29 January 2003
- Future Deployment
- 1 Dec 2003 – 31 January 2004

## Aqua Overpass Summary

- 106 overpasses from 13 – 29 January
*6-7 per day*
- 35 overpasses were at a viewing nadir angle of < 22.5 degrees (near-nadir)
*2-3 per day*
- 18 potential overpasses occurred under clear skies with PAERI data (6 near nadir)

## Aqua Overpass Summary

_*Date*__*	*__*	*__*Time*__*	*__*	*__*AIRS angle*__*	*__*PAERI*__*	*__*	*__*IRT *__*	*__*Sonde*_
- 15 Jan		0744		7.7				  Y		  	N		Y
- 15 Jan		1544		22.5				  Y			N		Y
- 16 Jan		0648		21.4				  Y			N		Y
- 16 Jan		0826		25.8				  Y			N		N
- 16 Jan		1546		6.6				  Y			N		Y
- 17 Jan		0731		2.4				  Y			N		Y
- 25 Jan		0641		25.0				  Y			Y		Y
- 25 Jan		0819		23.2				  Y			Y		Y
- 25 Jan		1448		10.1				  Y			Y		Y
- 29 Jan		0754		12.8				  Y			Y		N

## Instruments

- Polar Atmospheric Emitted Radiance Interferometer (PAERI)
*Spectral IR radiances of sky and surface*
*Calibrated to within 0.05 K at -20 C (253 K)*
- Infrared Radiometric Thermometer (IRT)
*Bobsled (for Bob Stone)*
*Inter-calibrated frequently to PAERI in the field*
- Vaisala RS80-15GH radiosondes
*25 RS80-15GH sondes*
*8 under clear skies*
- GPS, Total column ozone

## PAERI Field Calibration (3rd BB Tests)

## The Bobsled

- Two main tests
- 1-, 3-, and 5-km triangular tracks (in 1 hour or less)
- “Static” sastrugi tests (to map T vs. roughness)
- Currently awaiting calibrated data from Bob Stone (CMDL)

## Temperature Profiles

## Humidity Profiles

- wrt water

## Methodology

- Create model atmosphere using sonde data.
- Derive Ts and  from PAERI/IRT data.
- Run kcarta --> TOA radiances at AIRS resolution.
- Compare obs – calcs.

## Diurnal Cycle

## PAERI Spectra

## AIRS Data

## AIRS Spectra

## Future Work

- Near future
- Build model atmospheres
- Correction of RS80s by Larry Miloshevich
- Low humidity cases could be useful for 1350-1500 cm-1
- Derive  B(Ts)
- Fold in information about surface inhomogeneity from Bobsled
- Effects of zenith and azimuthal scanning by PAERI (inhomog.)
- Obs – Calcs
- Derive cloud properties using Mahesh et al (2001)
- 2003/2004 field season (7-8 weeks of data)
# Presentation: 534976

## Starting the Company: Doing it Old-Fashioned Way 

by
Ilya Mazo, Ph.D.

- by
- Ilya Mazo, Ph.D.

## The Company

- Founded in 2002
- 30 years of combined experience in commercial software development
- Focus on computational biology and literature mining
- Software products for Research Market

## MedScan from Ariadne

- Natural Language Processing Tool
- A picture’s worth 1000 words

- MedScan **    **

## Knowledge Discovery System

## AGI Technology

- Pathways
- Biological Association
- Networks

- PathwayAssist

- Natural Language
- Processing
- Techniques

## Where We Are

-              Company Started** **
- 	3 founders

**  **Product Released
- 1 full time employee
- 1 part-time
- 2 sometimes
- 4 off-shore

**          **Profitable
- 8 full time employees
- 4 part-time employees
- 6 offshore

- 02-2002

## Historical Perspective

- Product Release

- $10 MLN

- $2 MLN

- “High Tech Start Up”
- by John Nesheim
- Idea to Plan: 1/1000
- Plan to Fundable: 1/17
- Funded to IPO: 1/10

## Why Even Start?

- Official version
- See new opportunities
- Financial independence
- Try something new

## Choosing The Name

- Statistical Name Generating Algorithm
-  	(based on Markov model)

## Ariadne: Find Your Way in the Labyrinth of Knowledge

## Basic Principle

- The law of salary conservation

## Are We Going To be Rich?

- “High Tech Start Up” by John Nesheim:
- 	 CEO/VC risk = 6/1
- Being our own investor might be a good idea

## Good Things about Bad Times

- Labor is inexpensive
- Credit card rates are low
- Government tends to help
- Large companies cannot react fast
- Many orphan technologies

## Managing a Company

- Basic principle doesn’t work for more than 3 people
- Need a business strategy

## Business Strategy

- Software products for research market
- Strategy that worked before
- Know how to do that
- Lucky coincidences?

## Information Overload

## Markets

- Research market for desktop products: ~$80M
- 	sequence analysis
- 			gene expression
- 					pathways ?
- System Biology
- 	$85M (2001)         $6B (2008)

## Product Positioning

- PathwayAssist:
- 		Academia ~ $2K
- 		Industry ~ $3-5K
- Annual subscription and upgrades ~ 30-40%
-  On site licenses: technology and/or database

## Distributors and Sales

- Crossing a chasm

- Can sell anything for up to $500K/year

## Future: Activation Barrier

- That ‘chasm thing’ again
- Going from 100 to 1000 customers
- Competition is catching up

## Gain Some Weight

- Acquire another company or technology
- Obtain a strategic investment
- Study what other did and wait for your chance

## Creating a Company: Tips

- Focus on a familiar area that looks hopeless to others
- Have many friends who lost their jobs
- Find someone who would sell your product: any product can be sold to generate $250-500K/year
- Get lucky and find an independent source of revenue
- Use this money to make something useful and wait for your chance

## Contact Us

- www.ariadnegenomics.com
# Presentation: 238084

## Neutrino/Computing Division Forum

- MINERvA Status
- Dave Boehnlein
- December 5, 2006

## Control Room Logbook

- MINERvA is implementing CRL.
- AFS storage is on flxd04.
- File protection snag:
- World has read/edit/delete privileges.
- MINERvA CRL administrators (Dave Boehnlein & Heidi Schellman) do not have privileges to change the ACLs
- We need some help with this.

**Notes:**
Have spoken with Peter Cooper and Dave Ritchie about this, but neither of them knew how to do the changes either.

## MINERvA Electronics Review

- MINERvA will re-design some electronics in early 2007 as part of our R&D phase.
- Front End Boards (FEBs)
- Crate Readout Controllers (CROCs)
- We are planning a design review as part of this effort.
- We request CD participation in the review.
- We may wish to amend the draft MOU to include maintenance of these boards when MINERvA is operational.

**Notes:**
Have discussed this with Peter Cooper.  He will select participants for the review.  Their focus will be on maintainability of the boards.
# Presentation: 133336

## Current research on historical air-pressures at KNMI(the Netherlands)

***AOPC/OOPC Surface Pressure Working Group ******-****** ******21 October 2005 - Exeter**** *

**Current research on historical air-pressures at KNMI****(the Netherlands)**

## Contents

**Construction of a ****Central Netherlands daily air pressure series**** (1712-present)**
**Quality control of the air pressures in the maritime Maury dataset (1780-1857)**
**Homogenization of the hourly pressure series of the Amsterdam City Water Office (1824-1963)**
**Contribution to the ENSEMBLES gridded datasets (1900-present)**** **** **

**Contents**

## Stations with (sub)daily pressure observatons

**1. Central Netherlands daily air pressure series (1712 – present)**

## Measurement periods

**1. Central Netherlands daily air pressure series (1712 – present)**

**Breda**

## Time series of 4 contributing stations

**1. Central Netherlands daily air pressure series (1712 – present)**

## Maury data set

**2. Maury data (1780-1857)**

**A****nnual number of observations in CLIWOC, I-COADS Release 1 and the US Maury collection 1750-1870. All values are reduced to number of ship-day observations**

## Problems with the air pressures in the Maury dataset

**2. Maury data (1780-1857)**

**Time dependent negative bias **
**Uncertainty about units **
**Uncertainty about corrections**

## Hourly weather observation of the Amsterdam City Water Office (1784–1963)

**3. Amsterdam City Water Office (1824-1963)**

## WP5.1 Development of daily high-resolution gridded observational datasets for Europe 

**4. Ensembles gridded datasets (1900 – present)**

**Collection of (among others) daily pressure data for Europe**
**Quality control of the data **
**Individual time series in ECA&D (European Climate Assessment and Dataset) ******** **_**http://eca.knmi.nl **_
**Gridded datasets ready in 2007**
_**http://www.knmi.nl/samenw/ensembles_rt5/WP51.html**_
# Presentation: 803357

## Instabilities in Pedestal Position

- Many calibration runs in last 2 weeks

## 545	3A5, SVX7, board 545, August 11

- Calibration run 17993, August 11 10:56AM
- Hot:, 11PM
- Recalibrated: run 179982, 11:20 PM change of vref:

## 545	3A5 SVX7,board 545, Hole, August 12,03

- Hole is 3A5 SVX7(board 545), cftv3 1025-1088, 2:28PM
- Calibration run 180033 6PM

## 545	3A5 SVX7,board 545, 

- Fibers 1025-1088
- Still good on August 14,03, fibers 1025-1088

## 545	3A5 SVX7,board 545,

- New calibration run 180102, August 14,03

## ,

- Fibers 1025-1088, August 14, after calibration run 180102

## 545	3A5 SVX7,board 545

- Calibration run 179982, August 11,10:PM
- Calibration run 180033, August 12
- Calibration run 180102, August 14

## 545	3A5 SVX6,board 545,

- Hot region cftv3, fibers 1409-1472, August 14,03 in store
- Hot region, zero_bias, no beam, August 14,043

## 545	3A5 SVX6,board 545

- cftv3, fibers 1409-1472, August 14,03  after calibration run 180102, not in store

## 545	3A5 SVX6,board 545

- Calibration run 179982, August 11,10:PM
- Calibration run 180033, August 12
- Calibration run 180102, August 14

## 6393A7Svx0 board 639, Hot region: August 12,03, 

- Hot region 3A7Svx0 (board 639), threshold from cal run 179982, August 11
- Calibration run 180033, August 12, increased SVX threshold on 3A7SVX0

## 6393A7Svx0

- Now threshold too high on 3A7SVX0, August 13,03
- Threshold still to high on August 14, in store

## 6393A7Svx0

- August 14, zero_bias, not in store, fibers 769-832

## 6393A7Svx0

- New calibration run August 14,03

## 6393A7Svx0

- Fiber 769-832,cftu1, August 14,03 not on store

## 6393A7Svx0

- Calibration run 179982, August 11,10:PM
- Calibration run 180033, August 12
- Calibration run 180102, August 14

## Dead cft channels

**         ****6-May-03                                    15-August-03**
**Layer Total Dead  Dead VLPC        Total Dead Dead VLPC**
- cftx1	  3	  0	2560	      5
- cftx2	  17	  8	3200	      17	      8
- cftx3	  23	  8	3840	      15	      0
- cftx4	  6	  0	4480	      6
- cftx5	  16	  0	5120	      16
- cftx6	  29	  16	5760	      21  	      8
- cftx7	  22	  8	6400	      36	      **16**
- cftx8	  24	  8	7040	      33	      **16**
- cftu1	  13	  0	2560	      13
- cftu2	  13	  0	3840	      14
- cftu3	  33	  16	5120	      33	      16
- cftu4	  19	  0	6400	      21
- cftv1	  2	  0	3200	      1
- cftv2	  9	  0	4480	      13
- cftv3	  27	  0	5760	      36	       **8**
- cftv4	  19	  0	7040	      31
**Total****	****  275****	****64****	****76800****	****     311      72 (9 chips)**
**Latched****	**
- Date	       Slot     SVX    VLPC
- 2002	  5A0/cr50	     6	8
- 2002	  5B5/cr50	     7	1
- 2002	  6A5/cr50	    4
- 2/12/2003	  8B3/cr50	    4	1
- 2/12/2003	  8B3/cr50	    4	4
- 3/12/2003	  3B1/cr51	    0	1
- yr 2002	  9B4/cr52	    7	2
- yr 2002	  AA5/cr52	    1	3
**Total latched: 8 VLPC chips****	****	****	****	****	**

## Dead VLPC on 9A5 SVX0

## Dead VLPC on AA6 SVX0
# Presentation: 757503

## Radiation Hard Optical Interconnection Network

**S**mall
**B**usiness
**I**nnovation
**R**esearch

**Space Photonics**

- Fayetteville, AR

**GOVERNMENT/ SCIENCE APPLICATIONS**
- Satellite data buses for future earth science missions

***High-Speed Fiber Optic Networks and Miniature***
***Components for Satellite Data Buses***

**ACCOMPLISHMENTS**
- Demonstrated first 1.0 gigabit per second ring fiber optic interconnect network
- Provides high-speed real-time data transfer between satellite instruments, computers, and communication systems
**COMMERCIALIZATION**
- Received a $670,00 subcontract to demonstrate technology for satellite applications
- Commercial version for satellite applications scheduled for 2002 release

- Jet Propulsion Laboratory
- Success Story #7-034

- 1995 Phase II; NAS8-97049
- NASA/JPL Contact – Savio Chau
- Company Contact – Chuck Chalfant

**INNOVATION**
- High-speed, radiation hard  fiber optic interconnection network
- for satellite data buses
# Presentation: 245495

## Complaint Processing 

**of Workforce Services**

- September 2007

**Presented by:**
** ****Carolyn Parsons ****(cparsons@utah.gov)**
**Equal Opportunity Officer**

- Complaint Processing

## Determining Jurisdiction

- Employers with OJT or other financial attachment to the department
- Partner agency
- DWS employee

## Mail Notice of Receipt and Acceptance, Along With Mediation Election Form

- Mail Notice of Receipt and Acceptance, Along With Mediation Election Form

## Notice of Receipt and Acceptance

## Mediation Election Form

## Notice of Mediation 

- Notice of Mediation

## Investigation

- If the complainant opts for an investigation......

## Prepare a Strategy

- Prepare a Strategy

- Who will conduct the investigation?
- Discuss allegations with this individual.
- Send appropriate notifications, i.e; notice to employer, training facility

## Questions to Ask Complainant

- Who, what, when, where, and how.
- How did you react, or what was your response?
- Was your job affected?
- Are there witnesses, or persons with
- information relevant to your complaint?

## Complainant Questions continued...........

- Do you have any notes, physical evidence, copies of e-mail, or other supporting documentation regarding the alleged incident?
- How would you like to see this situation resolved?

## Questions to Ask the Respondent 

- What is your response to the allegations?  “Your side of the story.”
- If the respondent denies the allegations, ask why the complainant might lie.
- Are there persons who have relevant information to support his/her response?

## Questions to Ask the Respondent continued...........

- Are there notes, physical evidence, copies of e-mail, or other documentation regarding the alleged incident?
- Do you have any other relevant information?

## Questions to Ask Third Parties

- What did you see or hear?
- When did the incident occur?
- What did the complainant tell you?
- When did he/she tell you this?
- Do you know of any other relevant information?
- Are there others you know who may know more information?

## Determining Credibility

**Inherent plausibility**: Did the information make sense?  Is the testimony believable on its face?
**Demeanor**: Did the person seem to be telling the truth?
**Motive to lie**: Did the person have a specific reason to lie?
**Corroboratio**n:  Are there witnesses or other supporting documentation?
**History**: Did the respondent have a history of similar behavior or situations in the past?

## Reaching a Determination

**   **

- Review all gathered information, including notes from interviews
- Discuss the findings with management.
- If evidence and information are inconclusive, the finding may be that the allegations could not be substantiated, but could also not be refuted.

## Notice of Final Action

- Address the Notice of Final Action to the complainant with copies to the respondent, and all relevant agency staff, i.e.; director and/or administrator.
- Include specific detail which lead to the decision and action.
- Include the “if you are dissatisfied with this decision...........” statement.

## Notice of Final Action
# Presentation: 039438

## Smart Laser Ignitor for Reaction Control System (RCS) ThrustersDuncan Technologies Inc., Auburn, CA

- Innovation
- Lower Power thermal ignition using diode laser optical source
- Built in Test allowing complete system verification without
-   propellants present.
- No inherent life limiting components
- Innovative Optical Coupler Component

- Photo

- Accomplishments
- Laser ignition demonstrated with O2/H2 thruster.
- Parametic experiments demonstrated insensitivity to Oxidizer-Fuel
-   ratio (O/F) and pressure
- Number of employees tripled in last year
- Pursuing main propulsion igniter market for Recoverable launch
-  Vehicle (RLV)

- Commercialization
- RCS and main propulsion for RLVs
- High reliability, verifiable igniter markets
- System requiring repeated ignition or multiple ignition locations such as industrial furnaces.
- Applications requiring low electromagnetic interference (EMI) compared     to spark igniters
- Pursuing Licensing of Optical Coupler Component

- Government/Science Applications
- Laser ignition system provides key features required for
-  successful RLV development: Built in test, Long life, No
-  maintenance between mission, Light weight, and Low cost.
- Small rocket engine applications using non-toxic
-  propellants (compared to frequently used hypergolic
-  systems.

- Points of Contact:
-  -  NASA -Jane I Fox-jifox@ems.jsc.nasa.gov
-  -  Company Judy Duncan-info@duncantech.com
-     1993 SBIR PhaseII; NAS NAS9-19036;

- Johnson Space Center
- Date of Update 05-17-99
- SS 9-007

- Title
# Presentation: 761097

## Slide 1

## Slide 2

## Slide 3

## Slide 4

## Slide 5

## Slide 6

## PRS7h : T382 operational version. 

***PRS18h ******: as prs7h, in addition to : ******	******ESMF 3.0.1 (Moorthi) ******	******LW radiation RRTM1 and Aerosols (Yu-Tai) ******	******SW Radiation Maximum Random Cloud Overlap ******	******	******(Yu-Tai) ******	******SW aerosol (Yu-Tai) ******	******MODIS albedo (Ken Mitchell) ******	******enthalpy (Juang) ******	******RRTM SW (Yu-Tai Hou) ******	******TVD tracer transport (Fanglin) ******	******new orography (Jordan) ***

## Verifying July 11-29, 2005

|  | PRS7H | PRS18H |
| --- | --- | --- |
| NH 500 ac 5dy | .802 | .764 |
| SH | .718 | .696 |
| NH rmse hgt 5 day | 41.4 | 45.3 |
| SH | 81.0 | 84.3 |
| Tropics 850 rmsve 3day | 3.90 | 3.96 |
| 500  | 4.48 | 4.41 |
| 200 | 8.68 | 8.63 |

***Verifying July 11-29, 2005***

***New system worse in NH summer***

## Verifying Nov.25-Dec.6,2006

|  | PRS7H | PRS18H |
| --- | --- | --- |
| NH 500 ac 5dy | .835 | .830 |
| SH | .780 | .795 |
| Tropics 850 rmsve 3day | 2.91 | 3.00 |
| 200 | 7.74 | 7.75 |

***Verifying Nov.25-Dec.6,2006***

***New system competitive in NH winter***

## Slide 10

## Slide 11

## Slide 12

## Slide 13

## Slide 14

## Slide 15

## Slide 16

## Slide 17

## Slide 18

## Slide 19

## Slide 20

## Slide 21

## Slide 22

## Slide 23

## Slide 24

## Slide 25

## Slide 26

## Slide 27

## Slide 28

## Slide 29

## Slide 30

## Slide 31

## Slide 32

## Slide 33

## Slide 34

## Slide 35

## Slide 36

## Slide 37

## Slide 38

## Slide 39

## Slide 40

## Slide 41

## Slide 42

## Slide 43

## Slide 44

## New system performs well in NH winter, poorly in NH summer

***--warmer over NH continents in summer***
***--higher heights in summer***
***--but also does badly in SH in NH summer***
***--change in NH heating or remote response??***
# Presentation: 148407

## 

SMALL BUSINESS 
PARTICIPATION

DIJON FERDINAND
Small Business Representative for
US Census Bureau

** **
**SMALL BUSINESS **
**PARTICIPATION**
**DIJON FERDINAND**
**Small Business Representative for**
**US Census Bureau**

## MARKET RESEARCH

- Meetings with small and large companies
- What we learned:
- Small businesses provide wealth of creativity
- Roles and responsibilities for small businesses

## SMALL BUSINESS SUBCONTRACTING GOALS 

- Our target goal - 40% of total contract value to be subcontracted to SBs.
- Small disadvantaged businesses – 17%
- Woman-owned small businesses – 8%
- HUBZone small businesses – 3%
- Veteran-owned small businesses – 3%
- Service-disabled veteran-owned small businesses – 3%
- Small businesses – 40 % (inclusive of all of the above)

## INCENTIVE SUBCONTRACTING PROGRAM (FAR 52.219-10)

- Program to promote and encourage the prime contractor to involve small business to the maximum extent possible and exceed their SB subcontracting goals.
- Included in Section I of the RFP.

## NETWORKING OPPORTUNITIES

- Industry Day – Feb. 2006
- Vendors Expo – Jan. 2007
- Small Business Web Portal

## Contact us:

**2010 COMM: **
- acq.2010.comm@census.gov
- www.census.gov/procur/www/2010communications/
**US Census Bureau – Small Business:**
**	**DiJon (DJ) Ferdinand - 301-763-1822
**Office of Small and Disadvantaged **
**Business Utilization:**
**	**LaJuene Desmukes - 202-482-1472
# Presentation: 803349

## How Well Do Fits toRHESSI Hard X-Ray Spectra Determine theElectron Distribution Function?

- Gordon D. Holman(NASA/GSFC)andLinhui Sui(CUA & NASA/GSFC)

## The following four slides show fits to a RHESSI flare spectrum.  The first shows a model photon spectrum fit to the data.  The others show the thick-target bremsstrahlung from a model electron density distribution fit to the data.

## Double Power-Law Photon SpectrumFebruary 20, 2002 (11:06:10 – 11:06:24 UT) RHESSI Flare

- Thermal
- T = 15 MK
- EM = 2.6 **** 1048  cm-3
- Nonthermal
- Low = 3.3
- EBreak = 56 keV
- High = 4.4
- F50 keV = 0.6

**Notes:**
There is a sharp break in the photon spectral fit at 56 keV.  

## Double Power-Law Electron DistributionFebruary 20, 2002 (11:06:10 – 11:06:24 UT) RHESSI Flare

- Thermal
- T = 16 MK
- EM = 2.4 **** 1048  cm-3
- Nonthermal
- Low = 4.4
- EBreak = 100 keV
- High = 5.5
- nA = 4.6 ****** **1025  cm-1

**Notes:**
The low-energy cutoff in the electron density distribution was fixed at 15 keV.  The value of nA assumes a low-energy cutoff of 15 keV.  

## Power-Law Electron Distribution with a High-Energy CutoffFebruary 20, 2002 (11:06:10 – 11:06:24 UT) RHESSI Flare

- Power-Law Electron Distribution with a High-Energy CutoffFebruary 20, 2002 (11:06:10 – 11:06:24 UT) RHESSI Flare

- Thermal
- T = 16 MK
- EM = 2.4 **** 1048  cm-3
- Nonthermal
-  = 4.5
- ECutoff = 224 keV
- nA = 4.9 ****** **1025  cm-1

**Notes:**
The low-energy cutoff in the electron density distribution was fixed at 15 keV.  The value of nA assumes a low-energy cutoff of 15 keV.  

## Power-Law Electron Distribution with a Low-Energy CutoffFebruary 20, 2002 (11:06:10 – 11:06:24 UT) RHESSI Flare

- Power-Law Electron Distribution with a Low-Energy CutoffFebruary 20, 2002 (11:06:10 – 11:06:24 UT) RHESSI Flare

- Thermal
- T = 40 MK
- EM = 4.6 **** 1046  cm-3
- Nonthermal
-  = 5.3
- ECutoff = 47 keV
- nA = 1.2 ****** **1024  cm-1

**Notes:**
The low-energy cutoff in the electron density distribution was fixed at 15 keV.  The value of nA assumes a low-energy cutoff of 15 keV.  

## Conclusions

- There is no unique fit to the RHESSI hard x-ray spectral data
- RHESSI spectra cannot be uniquely inverted
- There is not a sharp break in the photon spectrum
- Fits to RHESSI spectra rule out some models and constrain others

## References

- Analysis of the 2002 February 20 Flare:
- Sui, L., Holman, G., Dennis, B. R., Krucker, S., Schwartz, R. A., and Tolbert, K., *Solar Physics*, in press, 2002._[http://hesperia.gsfc.nasa.gov/hessi/presentations/first_modling_RHESSI_solar_physics.pdf](http://hesperia.gsfc.nasa.gov/hessi/presentations/first_modling_RHESSI_solar_physics.pdf)_
- Thick-target bremsstrahlung code:RHESSI Flare Modeling Software Web Page_[http://hesperia.gsfc.nasa.gov/hessi/modelware.htm](http://hesperia.gsfc.nasa.gov/hessi/modelware.htm)_
# Presentation: 739013

## Susan B. ParkerDirector, Office of Policy and ResearchOffice of Disability Employment PolicyU.S. Department of LaborWashington, D.C.www.dol.gov/odep(866) ODEP-DOL     TTY (877) 889-5627

**VETS ****	****2006 Competitive Grantees Conference**
**July 31-August 3, 2006**

**Notes:**
ACKNOWLEDGEMENTS

I would like to start off today by thanking _____________  And, I want to acknowledge my fellow speakers – ________________.

This conference is a great example of how the private sector and the federal government can coordinate resources to address issues of critical importance to all Americans, including Americans with Disabilities.

## CUSTOMIZED EMPLOYMENT

**Everyone Customizes**
**A “Win-Win” Solution**
**Individualized**
**Negotiated**

## Customized Employment FundamentalPrinciples: 

**Integrated, Individualized, Negotiated Jobs**
**Customized to the Person and the Employer**
**Individualized Funding Provides Choice and Control**
**Blending and Braiding Funds Leverages Multiple **
**Systems**

**Notes:**
INCREASING ACCESS TO EMPLOYMENT!

SOURCE: TEXT in the New Freedom Initiative
February 1, 2001

## Preliminary Project Data

**Number:****	****	****536 customers **
**Ages:****	****	****	****Mean age was 37.7 years (range of 17-68)**
**     ****	**** ****	****56% were male **
**Race: ****	****	****	****66% White/Caucasian,**
**      ****	****	****24% Black or African American**
**      ****	****	****5% Hispanic**
**Primary Disability:****	****42% psychiatric**
**	****	****	****	****19% cognitive or mental retardation**
**	****	****	****	****15% physical/mobility impairment**

## Preliminary Project Data (Continued)

**Hourly Salary:**  		Average wage was $8.60 (range $2.38 to 				$37.00/hour)
**Hours worked per week**: 	34% worked full time (35+ per week) 				46%   worked less than 21 hours per week
-        	20% worked 21 - 34 hours/week.
**Fringe benefits**: 		27% offered at least one fringe benefit.
**Career Advancement:** 	63% had a position with career advancement 			potential.

## Coming off/Staying Off Support Services and Benefits

- During the Time that Customers Received Services:
- 14% (N=66) of Those Sampled Went **Off** at Least One Benefit
- 18% (N=96) of Those Sampled Went **On** at Least One Benefit

## Coming off/Staying Off Support Services, Continued

- TANF (Temporary Assistance for Needy Families)
- 97% stayed off TANF
- 1% (5 people) went off TANF
- Food Stamps
- 74% stayed off Food Stamps
- 4% (16 people) went off Food Stamps
- SSI (Supplemental Security Income)
- 60% stayed off SSI
- 2% (10 people) went off SSI
- SSDI (Social Security Disability Insurance)
- 68% stayed off SSDI
- 1% (5 people) went off SSDI