BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 522402

## 2007 ESF #2 Winter Conference Agenda

**2007 ESF #2 Winter Conference Agenda**
***“******Working as a Team”***

## Agenda

_**DAY ONE**_
**	**
**8:00 AM****	****	**** ****	****Administrative Issues****	****	****Mr. William Gleichsner (NCS)**
**	****	****	****	****Welcome****	****	****	****Mr. Greg Garcia, Asst. Sec., CS&C**
**	**
**	****	****	**** ****	****Why We’re Here ****	****	****Ms. Sallie McDonald (NCS)**
**	****	****	****	****NRF vs. NRP****	****	****Mr. William Scheppers (NCS)**
**9:10 - 9:30 AM****	****	*******Break*******	****	**
**	****	****	****	****Lessons Learned ****	**** ****	****NCS, GSA, CA Ofc of Emerg. Services**
**Process: *****How to pull the team together***
**	****	****	****	****ECT Process****	****	****Mr. Carl Foster (NCS)**
**11:00 AM – 12:00 PM****	****	*******Lunch*******	****	****	****	**
**Decision Making: *****An exercise in teamwork***
**12:00 PM****	****	****	****Decision Making Overview ****	****Dr. John Bokel ****(Industrial College of the****	****	****	****	****	****	****	****	****       Armed Forces****)**
**	****	****	**
**	****	****	****	****Decision Making Exercises ****	****Dr. John Bokel**
**	****	****	****	****Break out Sessions**
**2:15 – 2:35 PM****	****	*******Break*****
**	****	****	****	****Decision Making Exercises (Cont.)****	****Dr. John Bokel****	**

## Agenda

_**DAY TWO**_**	****	****	**
**8:00****	****AM****	****	****Welcome****	****	****	****	****Mr. Lawrence B. Prior, III (COO, SAIC****)**
**	****	****	****Analysis Response Team (ART) Overview ****	****Mr. Bernard Farrell (BAH)**
**	****	****	****NCC Watch****	****	****	****	****Mr. Brian Carney (NCS)**
**	****	****	****2008 Exercises & Events****	****	****	****Ms. Jessica Kaputa (SAIC)**
**	****	****	**
**9:40 - 10:00 AM****	*******Break*******	****	****	****	**
**	****	****	****The Tools We Use****	****	****	****CDR Joyce Bernard (NCS)**
**	****	****	****( MSL, WebEOC, TIMACS, HSIN, & EMIMS)**
**11:00 AM – 12:00 PM****	*******Lunch*****
**12:00****	**** ****PM****	****	****Tools: Hands On Experience****	****	****Multiple Instructors**
**	****	****	****(Input into HSIN, TIMACS, MSL, WebEOC)**
**2:00 – 2:20 PM****	******* Break *****
**	****	****	****US-CERT Overview****	****	****	****Mr. Richard Harris (US-CERT) ****	****	****	**
**	****	****	****IMA Process ****	****	****	****COL Mona Grupp (NCS IMA)**
**	****	****	****Closing Remarks****	****	****	****NCS**
**4:00 – 5:30 PM****	****Meeting With IMAs and NCS RMs****	****	****COL Grupp/Ms. Hummel**
# Presentation: 405259

## Vladimir Shiltsev
Riccardo de Maria
Luca Bottura

- Riccardo de Maria
- Luca Bottura

- Studies of  High-Frequency Magnetic Field Fluctuations in LHC MagnetsApril 27, 2006

## B-field is frozen at high frequencies

## dB/B Fluctuations Tolerances

|  |
| --- |

## Tevatron Dipoles

**LHe**
**(turbulent)**

**Notes:**
Warm iron yoke
Cryostat and collared coil supported at nine locations down the length
Position determined by bolts on bottom, 
held in place by spring-loaded pistons on top through thermal cycle “smart bolts” 
In production shimmed to zero quad fields
Can innards move if yoke is realigned?
Lifts cxhecked

## No LHe flow in LHC Dipole – Except Screen

**Notes:**
Warm iron yoke
Cryostat and collared coil supported at nine locations down the length
Position determined by bolts on bottom, 
held in place by spring-loaded pistons on top through thermal cycle “smart bolts” 
In production shimmed to zero quad fields
Can innards move if yoke is realigned?
Lifts cxhecked

##  LHC Beam Screen

|  |
| --- |

- LHC screen: light and under action of  20 K He flow turbulent kicks
- B-flux is constant at 3kHz     dB/B ~ dR/R  need
- dR < 1A to blow horizontal emittance >10% dE/dt
- Being measured at CERN MMF

##  dB/B in Tevatron dipole

**Tevatron Stand-Alone Dipole measurements (Proc. PAC’01)**

|  |
| --- |

##  dB/B measurements at CERN

**5 coils  **
**calibrated**

|  |
| --- |

##  dB/dJ suppression in LHC dipole (warm)

|  |
| --- |

##  dB/dJ suppression

**By inductance and SS **
**      **
**                               ****by the screen**

|  |
| --- |

##  dB/B in cold Quadrupole

**Coil placed off-center**
**... ****8 bit Tectronix Digital scope too noisy**

|  |
| --- |

##  19bit 50kHz HP3458A sent to CERN

**HP********PC DAQ works, nx1kHz ringing**
**Noise measured, triggering issues**

|  |
| --- |

## dB/B: Plan of Action

- Perform dB/B measurements at CERN in
- Dipole (cold, high current)
- Quadrupole (same)
- Measure vibrations of the screen
- Will take about 1 year
- Cost:
- 2-3 more trips to CERN		~5k$
- Low-noise pre-amp		~5k$
- Goal: be able to conclude on dEmm/dt and need of FB
- Next steps: designand development of low-nosie FB

## Then , one needs a fast feedback system

-  requires P~100W in df=50kHz band
- BPM noise ~0.5um
- (Tev standard BPM
- ~5 um, special stripline 0.2 um at Qx,y)
# Presentation: 275517

## R.A.D.

**RAD -Radiation Assay Device**
**By Alexandra Moody**
**Honor Biology Class**
**Middleton High School**

## Goals

**Measure the radiation environment in low earth orbit**
**Evaluate the effects on film**

## Radiation Exposure

**17,800**

**5,000**

## Radiation Dosimeters

**Flight Samples**
**Particle Track – High LET**
**OSL – Low LET**
**Ground Control**
**Particle Track – High LET**
**OSL – Low LET**

## Mean Radiation Dosage

**mR**

## Film Procedure

**18 months**

**Pre-flight**
**Control**

**Space Flown Sample**

**Post-flight Control**

## SEM Passive Experiment Housing With Film

## Results of Shuttle Flight

**The space-flown sample returned fogged**

## The unexpectedly high fogging was due to:

- Radiation alone ?
- Long storage time ?
- Dry nitrogen atmosphere ?
- Heat exposure ?
- OR
- Some combination of factors ?

## Verifying the Film Results 

- Dr. Don Fry of the MUSC Department of Radiology set up a test to expose film samples to measured x-ray radiation doses.

**328 mR **
**1186 mR **
**4650 mR**

## The luggage X-ray machine at Charleston International Airport was also used to test the effects of radiation.

**Note: ROYAL GOLD 1000 Film is very sensitive to environmental radiation; expose and process it promptly. Request visual inspection at airport x-ray inspection stations. Some x-ray equipment may fog this film. **
*(from Kodak film technical information)*

## Film Results

**mR**

## MUSC Department of Pathology Image Analysis Core Facility

## Density

## Conclusions

**The data supports the evidence that the film was affected by radiation.**

##  High-speed photographic films  need  special shielding .
 Choose lower sensitivity films 
 Test to verify the choice

-  Choose lower sensitivity films
-  Test to verify the choice

- Applications for Space Travel

## Thank You 

**For further information, **
**www.musc.edu/cando**
# Presentation: 174871

## EMWIN

**Introduction and Overview**

## EMWIN

**The Emergency Management Weather**
**Information Network (EMWIN) was established**
**approximately 10 years ago to provide near real**
**-time emergency weather information via**
**relatively low-cost (e.g., Approximately**
**$1000/station) L-band receiver systems. **

## EMWIN

**The current EMWIN system shares the existing GOES**
**WEFAX L-band transponder to continuously broadcast**
**emergency weather information through the two**
**operational GOES satellites (i.e., GOES East and GOES**
**West) positioned over the United States. EMWIN data is**
**also broadcast from a spare older GOES satellite**
**positioned over the Pacific ocean (i.e., PeaceSat). The low**
**cost of  the EMWIN receivers and the importance of the**
**EMWIN emergency weather data has served to grow the**
**population of EMWIN users to well over 10,000.**

## EMWIN

**Plans for implementing and transitioning to the**
**new digital EMWIN service. It begins with an**
**assessment of the basic communications link**
**between the GOES-N satellite and the new digital**
**EMWIN receiver, based on established technical**
**parameters. The study will then establish and**
**assess alternatives for developing an EMWIN**
**digital receiver for a relatively low cost.**

## EMWIN Transition Alternatives 

**The transition from existing EMWIN I broadcast services**
**to the new EMWIN N broadcast must take into**
**consideration at least three factors: **
**the requirements and concerns of the existing user population **
**the availability of NOAA resources (e.g., satellites, ground communications and control systems, personnel) **
**the development and marketing concerns of EMWIN vendors. **

## EMWIN N Link Alternatives

**The prototype design, development and testing of**
**the EMWIN N receive system should begin in the**
**fall of 2001 and continue throughout most of**
**2002. The currently planned test windows are**
**November/December 2001 for GOES 12 and June**
**2002 for GOES 11. **

## EMWIN SYSTEMS

- SYS H

- SYS G

- SYS F

- SYS E

- SYS D

- SYS C

- SYS B

- SYS A

- Wallops Is

- Satellite Downlink
-  Converter

**NWWS**

- Goes-8 Downlink

- NWSTG

- Developmental

**Notes:**
Sys A Primary, Sys B Backup, Sys C off token ring feeds the Developmental Sys, Sys D feeds the NWWS, Sys E/H Developmental Sys
Sys G/F rec from Goes-8 for monitoring

## EMWIN

**Point of Contact POC(s):**
**Primary Santos Rodriguez**
**	****Email **_santos.rodriguez@noaa.gov_
**Secondary Robert Wagner**
**	****Email **_robert.wagner@noaa.gov_
# Presentation: 823975

## CandFitTrackSA track fitter

- Sergei Avvakumov

## Overview

- A reminder of how this fitter works
- How is it different from the SR fitter?
- Fitter performance: analysis of Monte Carlo cosmic_mu_r231.root
- Failure modes
- Todo, plans

## Method

- Method is outlined in NuMi-301 note
- Iterative procedure – requres inversion of N x N matrix (N – number of measured coordinates)
- Global fit (nothing like a local ‛źŹflfi-square)
- Not a track finder
- Does not follow the actual measured track (no MCS)

## Validation (using cosmic_mu_r231.root)

- Number of iterations ~ 0.3%
- events do not converge ( down from 2.5%)

- square, looks ok, except for a small hump at ~0.6 ??

## q/p(MC) vs q/p(fit)

- Quality cuts:
-  Length > 15 planes;
-  chi2/ndf < 3.;
-  Niter < 50

- No cuts

## q/p residuals, charge ID

- No cuts

- Charge identification with
- qulity cuts:
-  Length > 15 planes;
-  chi2/ndf < 3.;
-  Niter < 50

## dp/p vs length, p

- Length > 20 planes

## CPU time

- CPU time / event

- CPU time/iteration vs N
- matrix inversion ~ N**3

## Failure Modes I

- Snarl404.
- 1/p = 0.097 (MC) ; ndf = 52;
- chi2 = 135.56
- 1/p (fit) “oscillates” 0.116 – 0.1175

- NOT a failure. Just an event that needs lots (37) of iteration to converge.
- 1/p = 0.099 (MC); 1/p = 0.098 (fit);
- ndf = 116; chi2 = 128.4

## Failure Modes II

- Snarl 423
- 1/p = 0.38 (MC); 1/p = 1.6 (fit);
- ndf = 40; chi2 = 842.4
- p(fit) << p(range) – hard to fit end of the track when muon ranges out.

- Snarl 1821
- One hit off messes up the fit
- 1/p = 0.005 (MC); 1/p = 1.71 (fit)
- ndf = 19; chi2 = 2487.9

## Failure Modes III

- 1/p = 0.006 (MC); 1/p = 0.004 (fit), wrong charge!
- ndf = 16; chi2 = 12892.7

- 1/p = 0.0035 (MC); 1/p = 0.018 (fit)
- wrong charge!
- ndf = 11;  chi2 = 4603.6

## Todo, plans

- Fill all the data as CandFitTrackSR does
- Fit segments of a track separately (already in testing); can be used to:
- Check alignment
- Calibrate B-field
- Account for the catastrophic energy loss
# Presentation: 408435

## How Can States and Institutions Work Together to Create a Culture of SafetyConcrete Actions to Improve Patient Safety

**Scott Williams, M.D., M.P.H.**
**Deputy Director, **
**Utah Department of Health **
**Salt Lake City, UT**

- A State Perspective

## The State’s Role in Context

**The State’s Role in Context**

- Local Political and Partnership Climate
- High Profile Events
- Local Academic Experts
- Interested Politicians
- Regulatory Environment
- Organizational Relationships

## The Potential Roles of States

- Convener/ Common Ground
- Public Watchdog/ Impartial Endorser
- Industry Leveler
- Diverter of Unhelpful Solutions
- Funder
- Threatener of Traditional Regulation
- Regulator

## Liabilities of State’s Role

**Liabilities of State’s Role**

- Potentially unsafe environment
-  Punitive regulatory actions
-  Public disclosure
-  Unacceptable administrative burdens
-  Cost of compliance
-  Reporting
-  Unfulfilled promises
-  Rapid decrease in errors
-  Malpractice insurance premium

## Utah’s Approach

- Patient Safety Report
- hlunix.hl.state.ut.us/hda/Reports/adverse_events.pdf
- Sentinel Event Reporting Rule
- www.rules.utah.gov/publicat/code/r380/r380-200.htm
- Facility Patient Safety Program Rule
- www.rules.utah.gov/publicat/code/r380/r380-210.htm
- AHRQ Grant to Evaluate ICD Injury Codes
- HS11885

## Utah’s Collaboration Factors

- Pressure relieving bedding to prevent pressure ulcers
- Real-time ultrasound guidance during central line insertion
- Appropriate provision of nutrition (emphasis on early enteral nutrition for critically ill or surgical patients)
- Patient self-management for warfarin (Coumadin) to achieve appropriate outpatient anticoagulation and prevent complications
- Patients to recall and restate informed consent information

## Public Information Strategies

- Get out in front of issue & stay on message:
*“**Medical errors occur in hospitals, nursing homes, outpatient clinics, and at home”*
*“**More reported events is good”*
*“**Serious errors sometimes happen but we have mechanisms in place to review them, determine the cause, and prevent them from recurring”  *
*“**Patients and families are important partners”*

## AHRQ’s Patient Safety Corps

- Utah’s “wish list”
- Lexicon & standards
- What works (administrative)
- What works (clinical)
- Root cause analysis
- Developing financial resources
- Involving patients and families

## Lessons Learned

- Don’t hesitate to jump when the window is open
- Ready, fire, aim
- Traditional regulation does not prevent errors
- State’s should pressure the industry to change and then be flexible and let them have the credit
- Test the effectiveness of existing capacity before proposing new structures
-  You’re never finished
# Presentation: 825616

## Rack Recommendations

- David Fagan, Stan Naymola

## Review

- Previous presentation presented many options, this presentation will narrow the choices down.
- There are two major paths for node procurements, with a rack and without a rack.
- How to manage different procurements.
- Will not discuss in detail the actual procurement process. Beyond scope.

## Options

- Option one was to do what we have been doing with procurement, that is one vendor does it all.
- Option two is to decouple the rack procurement including rack infrastructure from the node procurement.

## Option details

- Option one stays the same as we understand it today. But try to improve timelines.
- Option two has several variations that can be incorporated into the procurement.
- Buy nodes from vendor X.
- Buy racks minus the nodes from vendor Y.
- Contract vendor Z to assemble racks.

## Option details cont.

- Pre-buy racks and the internal parts to be assembled locally by qualified staff.
- Qualified local staff loads the racks with nodes.
- Could be other variations that can be employed.

## PRO’s & CON’s

- Option one PRO’s
- Single vendor to deal with, may appeal to customers who only buy a single rack every few years and do not have staff to manage a multiple vendor procurement.
- Well understood process.

## PRO’s & CONS’s

- Option one CON’s
- We limit the number of vendors who will participate in the bid.
- Procurement can be longer with delays in logistics of rack parts or system parts. Need to plan your timeline of procurement.

## PRO’s & CON’s

- Option two PRO’s
- Open the node procurement bid to vendors who only supply nodes or do not want to do rack solutions. More vendors can bid. Nodes may be cheaper in cost.
- The procurement of nodes should be faster, due to no rack process included.

## PRO’s & CON’s

- Option CON’s
- This process requires additional separate bids to be placed and process, more work.
- Depending on the degree of decoupling, there will be more work for managing a process that can have several different vendors doing work on the procurements.
- Rack construction on site instead of at vendors factory.

## Misc

- It was discussed that bids can have options to include and not include racks in the same bid. We would have to access a cost to vendors who do not bid a rack to be able to properly compare bids that do include racks.
- Probably will never do this.
- Qualified staff maybe ESE groups in CD.
- Need to allow other that amco racks.

## Conclusions	

- There is room for better procurements.
- Several options have been presented, coupled or decoupled racks.
- We have in practice tested buying racks without nodes, ala CDF and D0 re-racking projects. It works.

## Recommendations

- We have two recommendations.
- The first one is to decouple racks procurement and further develop and refine procurements that decouple node procurement from rack procurement. Then use this process where it makes sense to deploy.

## Recommendations continued

- The second is that we continue to use the present procurement process where it makes sense to, but further refine the process to make the timelines shorter.
# Presentation: 714900

## Novel Neural Network Technology for Very Fast Analysis of Hyperspectral ImageryOpto-Knowledge Systems, Inc.Torrance, CA

**ACCOMPLISHMENTS**
- Demonstrated the application of compact hyperspectral camera system utilizing a liquid crystal tunable filter for ground truth collection and analysis in support for remote sensing applications
- Demonstrated a novel algorithmic paradigm for neural network training specifically optimized for computationally intensive applications such as hyperspectral analysis
- Developed a Toolbox of additional algorithms for hyperspectral analysis
- Integrated benchtop sensor and Toolbox to form a turnkey system.
**COMMERCIALIZATION**

- Points of Contact:
-   -  NASA - Robert Cromp; 301-286-4351
-   -  Opto-Knowledge Systems; Linda Papemaster; 310-371-4445

**GOVERNMENT SCIENCE/APPLICATIONS**
- Interest expressed by scientists at the NIH, USDA and NASA to test the sensor for a wide range of applications ranging from real-time medical, food and other produce inspections, to process control.
- System is now in use under the NASA EOCAP-Hyperspectral program for development of hyperspectral precision agriculture applications.

**Goddard Space Flight Center**
**1995 STTR Phase 1, SS5-026, 1/25/99**

**INNOVATION**
- An integrated benchtop hyperspectral sensor and analysis system was developed for use in laboratory and field applications.

**S****mall****Business****T****echnology****Tr****ansfer**

- Initial sale to Ford Motor Company >$100K
- STTR project led to the selection of OKSI by NASA EOCAP Project and a $600K Phase III contract.
- System exhibited at the 1998 Neuroscience Conference, and will be exhibited at the 1999 Pittcon.  Tecnology generated wide interest for biological science users.  Expected  sales for 1999 estimated at >$500K.

***When you need to compare . . . ***
***Apples to Oranges***
# Presentation: 605596

## CaTISSUE Core v1.1

- Demonstration

**Rakesh Nagarajan, M.D., Ph.D.**
**Mark A. Watson, M.D., Ph.D.**
**Washington Univ. / Siteman Cancer Center**

_**Srikanth Adiga**_
**Kapil Kaveeshwar**
**Aarti Sharma**
**Poornima Govindrao**
**Gautam Shetty**
**Mandar Deshmukh**

## caTISSUE Core Base Object Model

**PARTICIPANT**
**An individual from whom biospecimens are collected**

**1**

**many**

**PARTICIPANT PROTOCOL REGISTRATION**
**An event in which a PARTICIPANT is registered to a COLLECTION PROTOCOL**

**COLLECTION PROTOCOL**
**A set of attributes  that dictates how biospecimens are to be collected**

**many**

**1**

**SPECIMEN COLLECTION GROUP**
**One or morse specimens collected at one point in time from a PARTICIPANT enrolled on a COLLECTION PROTOCOL**

**1**

**many**

**SPECIMEN**
**A tissue or fluid collected from a PARTICIPANT**

**1**

**many**

## caTISSUE Core:  Other Objects

-  **SPECIMEN EVENT**:  An action which is performed on a specimen at a given date/time by a USER, associated with specific attributes.
-  **SITE**:  A physical location where biospecimens are collected, stored, or shipped.
-  **USER**: An individual who participates in biospecimen collection, processing, or utilization events.
-  **COLLECTION PROTOCOL**: A set of guidelines that stipulates what, when,  and how biospecimens are to be collected and processed.
-  **DISTRIBUTION PROTOCOL**: A set of guidelines that stipulates what biospecimens are to be analyzed and for what purpose.
-  **DISTRIBUTION**: An event that results in transfer of specimens from one SITE to another.
-  **STORAGE**: A recursive hierarchy where any specimen may have an assigned location within nested storage units at a SITE.
-  **AUDITING**: All system transactions recorded with date and actor.

## caTISSUE Core:  Functional Outline

**Register as a new user**

**Log In**

**Add / Edit Administrative Data**

**Add / Edit Biospecimen Data**

**Search**

**Summary Data**

- Add / Approve Users
- Add / Edit Sites
- Add / Edit Institutions
- Add / Edit Departments
- Add / Edit Storage Type
- Add / Edit Storage Container
- Add / Edit Collection Protocol
- Add / Edit Distribution Protocol

- Add / Edit Patient
- Add Specimen Collection Group
- Add Specimen
- Derive Specimen

- Simple Search
- Advanced Search
- Query Result Export
- Shopping Cart

## caTISSUE Core V1.1 Enhancements

-  Specimen Aliquoting
-  Storage Container Enhancements
- Automatic Specimen Assignment
- Association with Specimen Types and Collection Protocols
- User Annotation
- Virtual Storage Location
- Role Based Privileges
-  Participant Lookup
-  Arrays
-  Enhanced Events View
-  Quick Links for Common Tasks
-  Multiple Specimen Entry
-  Query Audit
-  Secure Password Functionality

## caTISSUE Core Home Page

**http://catissuecore.wustl.edu**

## Log On

**admin@admin.com**
**Login123**

## Administrative

- Biospecimen

## Simple Search

## Advanced Search

## Specimen Browser

## Specimen Browser
# Presentation: 301566

## Module 4

- Facilities:  Necessary Safeguards to Protect the Work Environment and Equipment

## Learning Objectives

- Describe personnel physical protections
- Define physical building            protections
- Explain what biometric protections   are available

## Introduction

- To protect ourselves we                   need to be proactive in                                       office/building                               security!

## Personnel Security

- Make employees                            security aware
- Each employee can help              improve security

- Security is Everyone's Responsibility!!!

## Personal-Physical Security

- Policies and procedures                         provide for:
- ID Badges for staff
- Badges for visitors
- Planned reaction to threats

## Building Security

- Provide a secure environment

## Building Security

- Include security in any                       building changes

## Biometrics

- Fingerprints

- Voice recognition

- Face scan

- Iris Scan

## Electronic Fingerprint Scans

## Face, Voice, Iris, Hand and Signature Recognition  

## Smart Cards

##  Security Assessment Tool
# Presentation: 750606

## Structural Signatures for ComparabilityArnon Chait, Ph.D.ANALIZA, Inc.Cleveland, Ohio

## Key Needs

- Ensure function
- Ensure safety
- Ensure repeatability

## Characterizing a Protein

- 1-D, 2-D, physicochemical, tox, PK/PD... what’s missing?
- Function is ultimately embedded in intermolecular interactions which are determined by higher-order structure
- If we had a simple technique to see all the atoms and their locations, we’ll be where small molecules are today

## Characterizing the 3-D Structure:What’s Irrelevant and What’s Relevant

- Products are heterogeneous, we don’t understand structure-function and there is just too much extraneous information:
- Detailed structural characterization is not useful for satisfying the Key Needs
*Focused information* about the 3-D structure is *highly useful:* Purpose-specific information
- Signature of a structure - instead of the structure - is simpler, easy to obtain, and can be constructed specifically for each need

## Conventional vs. Signature Characterization

- Conventional: Tell something about the molecule –
- Chemical constituents
- Net charge, MW...
-  vs.  content...
- Signature: State of the molecule, typically in relation to a standard –
- Degradation state (oxidation, deamindation)
- Aggregation in dosage form
- Conformation
- Similarity to well-characterized standards

## Structural Signature Technology

- Product- and purpose-specific signature of the higher-order structure
- Highly sensitive and specific
- Multiple signatures for the same product for different needs
- Easy to acquire, easy to use
- Strongly couched in statistical analysis
- Directly reflects functional properties

## Scientific Basis

- Responsive to 3-D arrangement of solvent-exposed residues:
- Conformational flexibility
- Function
- PK/PD
- Probe by quantitatively measuring the relative affinity of molecule to two different aqueous-based solvent:
- Thermodynamic approach
- Arbitrary flexibility to detect structural changes of interest by changing solvent structures
- Simple to conduct

## Examples

## Signatures Are Highly Sensitive and Specific, Rapid and Automated to Acquire

- Reliable Automation...

- Robust Classification...

- Standardized Assay Chemistry...

## More is Better

- More *is* Better

- Conventionalcharacterization

- Functional data

## Complexity = Risk ??

- Proteins are exceedingly complex – but lack of ability to understand their making ≠ increased risk:
- We demonstrate it in every new released lot
- Signatures are unique and very useful:
- Biocomparability
- For every lot release
- A risk-based, product specific, comparability approach with extensive post-marketing surveillance should satisfy all of the Key Needs
# Presentation: 215440

## Breaking the Sound Barrier:

- Designing Auditory Displays
- for Global Usability
- Robert Tannen
- Logicon Technical Services &
- Department of Psychology,
- University of Cincinnati
- TANNERRS@EMAIL.UC.EDU

## Constraints on Visual Bandwidth

- Constraints on Displays
- Limited Screen “Geography”
- Multiple Applications/Windows
- Richer Web Content (video, animation)
- Constraints on Visual Attention
- Limited Field-of-View
- “Tunnel Vision”

## Increasing Bandwidth

- Potential Solutions
- Present less information
- Design visual displays to optimize layout
- Transfer display to other modalities
- Divide information delivery among senses
- Visual display for primary content
- Auditory display for background processes

## Sound as a Solution

- Omnidirectional
- Not constrained to screen or field-of-view.
- Alerting
- Re--orients visual attention.
- Displays Changes over Time
- Suitable for presenting continuous, dynamic information.

## Designing an Auditory Display

- Goals
- Perceptual Salience
- Global Usability
- Unobtrusive
- Key Design Questions
- How do people listen?
- Which sounds to use?

## Two Ways of Listening

*Everyday *Listening
- Content of sounds determine meaning
- Examples: speech,object/event recognition
*Musical* Listening
- Information is conveyed by relations (spatial, temporal) among sounds.
- Examples: Morse code,rhythm,EKG
*Sounds themselves are not meaningful*

## Classes of Sounds

- “Real” Sounds - Earcons
- Meaningful sounds and speech as symbols
- Abstract Sounds - Tones
- Arranging tones to create emergent patterns

## Real Vs Abstract Sounds

**Earcons****	**
- Culturally Defined
- Brief Duration
- Closed Design

**Abstract Sounds**
- Application Defined
- Continuous Carrier
- Open Design

## A Model for Auditory Displays

- Graphical Configural Displays
- Utilize simple, abstract elements
- Elements are organized on basic perceptual constructs:
- Symmetry (length, angle, area)
- Gestalt Principles (closure, proximity)
- Information portrayed as changes in form

## Example: Configural Display

- Components are mapped to vertices
- Emergent symmetry indicates functional relations among components

## Portraying Data Flow with Sound

- Mapping Information to Sounds
- System Component = Spatial Position
- Transmission Speed = Pulse Rate
- Emergent Perceptual Constructs
- Temporal Symmetry
- Spatial Symmetry

## Conclusions and Limitations

- Potential for Global Usability
- Semantically Neutral Sounds
- Simple Perceptual-Level Constructs
- Obstacles to Auditory Display
- Delivering sound in diverse environments
- User acceptance/utility

## Breaking the Sound Barrier:

- Designing Auditory Displays
- for Global Usability
- Robert Tannen
- Logicon Technical Services &
- Department of Psychology,
- University of Cincinnati
- TANNERRS@EMAIL.UC.EDU
# Presentation: 218838

## Design of a Deep Space Network Scheduling Application

**Design of a Deep Space Network Scheduling Application**
**Bradley J. Clement, Mark D. Johnston**
- Jet Propulsion Laboratory, California Institute of Technology
- Contact: {firstname.lastname}@jpl.nasa.gov

- IWPSS Oct 2006

- For more information about this work, contact:
- Brad Clement
- Jet Propulsion Laboratory  MS 126-347
- 4800 Oak Grove Drive
- Pasadena, CA 91109-8099
- Email: brad.clement@jpl.nasa.gov
- Tel: +1 (818) 393-4729

- Scheduling Engine

- Request Language

- Implementing “undo” and recording history information
- Only allow undo back to last save, or
- No save - every edit is logged to database and can be undone
- Longer periods between older history data save points
- Undo for interleaved commits on same data by two users
- Disallow undo
- Disallow two users to have write permissions to same data
- Undo independent of user (i.e. one user can undo changes made by another)
- Try to determine separability by time and activity(hard since one user’s edit may be based on another’s)
- Request confirmation from user to undo edits of another
- if workspace B is derived from workspace A, and some user attempts to delete a track in A that B has modified, what is the appropriate behavior?
- The track is not allowed to be deleted in A.
- The track is deleted only in A, and committing B (after a warning) will add the track back to A.
- The track is deleted in A and in B (and users of B are warned).
- The track is deleted in A, and users accessing B are notified of the deletion and must resolve the inconsistency before committing any more changes (or the possible resolution choices are listed for the user select).
- Schedule edit conflicts with request
- Do not allow
- Flag as a request conflict
- Warn user
- Dialog box to confirm edit
- Disconnect request from schedule
- Add new request that overrides this one
- “Stretch” request so that edit is covered

- Data Management

**Abstract**
- The Deep Space Network (DSN) is a collection of ground antennas used to provide communication services for space missions at and beyond Earth.  Currently, nearly 30 people work full time to schedule 61 missions over a ten year horizon using a few disconnected tools.  The large manual and collaborative effort to generate schedules and resolve conflicts has spurred an effort to build a new scheduling application incorporating automated scheduling.  We will describe the basic design of this application, the Service Scheduling Subsystem (SSS), and discuss some of the design issues.  We describe the messaging interface to the automated scheduler, including the request and constraint language and support for user-defined constraints.  There are many other features that we believe will heavily influence the success of the application.  These include an efficient schedule editing interface, request management, non-interfering suggestions from automated scheduling, user-defined alerts, hypothetical schedules, and automated negotiation.
# Presentation: 042686

## Sea Grant Extension Survey

**Jim D. Murray, NSGO**
**June 5, 2005**

## Overview

- Extension Survey Distributed Fall 2004
-  Update on outreach capabilities
-  Based on FY2004 data
- Requested Information:
-  Identification of SGEP FTEs
-  Identification of top 3 programmatic areas for a new hire
-  Program effort breakdown per Sea Grant strategic plan category

## Survey

## 2000 vs. 2004 FTEs

- Total #    extension agents
-     2000 = 323
-     2005 = 377
- Total # FTEs
-     2000 = 270
-     2005 = 288

- Mean FTEs per program
-     2000 = 9.0
-     2005 = 9.0
- Range of FTEs
-     2000 = 2.4 - 24.1
-     2005 = 1.3 - 23.4

## 2000 SGEP FTE % Funding Source

## 2004 SGEP FTE % Funding Source

## Years in Service

**Mean: 10 years**
**Median: 6 years**
**Mode: 4 years**

## Years in Service

## 2000 Programmatic Emphasis by Theme Area

## 2004 Programmatic Emphasis by Theme Area

- 2004 Programmatic Emphasis by Theme Area

## FY2003 Sea Grant Federal Funding by Theme Area 

- FY2003 Sea Grant Federal Funding by Theme Area

## Extension Agent Location

## Extension Agent Location

## #1 Priority Hires

- Water Quality/Watershed Management, Education Specialist (4)
- Habitat Restoration, Fisheries, Coastal Communities and Economies, Natural Resource Economist/Coastal Bus. (3)
- Climate Change, Coastal Hazards,  Outdoor/Coastal Recreation (2)
- Aquaculture, Clean Marina, Ports and Harbors, Fisheries Acoustician, Biotechnology (1)

## Top 3 Priority Hires

- Fisheries (12)
- Water Quality/Watershed Management (8)
- Education Specialist, Coastal Communities and Economies (7)
- Coastal Hazards, Natural Resource Economist/Coastal Bus. (6)
- Aquaculture (5)
- Habitat Restoration, Urban Coasts/Planning (4)
- Seafood Safety, Ports and Harbors, GIS/Remote Sensing (3)

## Education Needs

- General Marine Educator, inc. K-12 (16)
- Evaluation Specialist (5)
- Public Education/Free-Choice Specialist (4)
- Web-based Curriculum Support (3)
- Continuing (adult) Education Specialist (3)
- Curriculum Development (1)
- Fisheries Ecosystem Education (1)
- Underrepresented Groups (1)

## 

Questions????

- Questions????
# Presentation: 935979

## Status ofConference Support

- SPMS and InDiCo

## SPMS Recap

- Developed by _[JACoW](http://www.jacow.org/)_
- Mature system, registration relatively new
- Used by 26 conferences
- Many Features
- Profiles, abstracts, paper submission
- Editing, referring, poster police
- Registration, external CC vendor (no PII)
- Central administration with multiple satellite conferences

- Matt Arena

- April 24, 2007

## SPMS Needs

- Documentation – JACoW will devote a special meeting to tackle this need (long overdue).
- May need to freeze development until documentation is complete
- Support person to maintain the central repository
- Add new affiliations
- Maintain supporting tables (countries, status codes)
- Minimal FTE

- Matt Arena

- April 24, 2007

## SPMS Needs

- Expert to assist conference administrators
- Training
- Assistance for registration setup
- Answer questions
- Trouble shoot
- FTE requirements spike on and around deadlines
- Backup to Matt Arena is Jim Fromm

- Matt Arena

- April 24, 2007

## InDiCo Recap

- Developed at CERN
- Jim Fromm working with CERN developers
- Address ILC requests
- Bug fixes
- Other new development such as SkipJack (3rd party CC vendor)
- Conference office is reviewing it.

- Matt Arena

- April 24, 2007

## InDiCo Needs

- Conference administrator
- Currently John Bellendir
- Train new users, setup sessions, etc.
- Hand off to conference office?
- Backup to Jim Fromm

- Matt Arena

- April 24, 2007
# Presentation: 698800

## Statistical Update

**Terrie L. Crescenzi, RPh****Associate Director for Regulatory Affairs**
**Office of Counter-Terrorism & Pediatric Drug Development**
**Center for Drug Evaluation and Research **
**Food and Drug Administration**

**March 3, 2003**

## Slide 2

## Pediatric Exclusivity

**Proposals from Industry****	****	****324**
**FDA issued Written Requests****	****	****264  ****	**
**Exclusivity Determinations****	****	****82****	**** **
**Exclusivity Granted****	****	****	****73**
**New Labeling****	****	****	****	****49**

## Studies Breakdownfor Issued WRs

**Efficacy & Safety****	****	****215   (35%)**
**PK & Safety****	****	****185   (30%)**
**PK/PD****	****	****	****  57   (9%)**
**Safety****	****	****	****  98   (16%)**
**Other****	****	****	****	****  61   (9%)**
**Total****	****Studies****	****	****616 **
**Projected # of patients****	****36,388**

## Slide 5

## Pediatric Rule(Apr 99 – Dec 02)

**Total # of Applications****	****	****	****	****517**
**Waivers****	****	****	****	****	****	****263**
**Deferrals****	****	****	****	****	****	****206**
**Applications with Completed Studies****	****130**
**Applications with Completed Studies **
** ****	****	**** ****not assoc. Pediatric Exclusivity****	****54**

## Pediatric Rule

**Reason for Concern!**
**Sponsors requesting waivers after previously receiving a deferral of studies**
**Discussion of pediatrics early in drug development & at key meetings**

## To Contact Us:

_**OPT Line:**_
**	****	****301-827-9218**
_**OCTAP Line:**_
**	****	****301-827-7777**
_**Peds Line:**_**	**
**	****	****301-594-PEDS**
_**Internet:**_**	**
**	****	****www.fda.gov/cder/pediatrics**
_**Email:**_**	**
**	****	****opt@fda.gov**
**	****	****pdit@cder.fda.gov**
# Presentation: 133401

##   Cocaine- and Extinction-Induced

**Neuroplasticity in AMPA Receptors Regulate**
**Drug-Seeking Behavior **

**DAVID W. SELF, PH.D.**
**Associate Professor of Psychiatry and Neuroscience**
**The Seay Center for Basic and Applied**
**Research in Psychiatric Illness**
**Southwestern Medical Center**

## Drug-Induced Neuroplasticity in the Mesolimbic Dopamine System

**DA**

**VTA**

**White et al., 1995**
**Zhang et al., 1997**
**Ungless et al., 2001**
**Saal  et al., 2003**

**Notes:**
Our work suggests that this bi-directional regulation of synaptic plastciticy in  the VTA and NAc both contribute to enhanced cocaine seeking and a propensity for relapse.

## Herpes Simplex (HSV) Viral Vectorfor In Vivo GluR1 Over-Expression

**HSV-lacZ**
**HSV-GluR1 WT **
**HSV-GluR1 S845A**
**HSV-GluR1 S831A**
**HSV-GluR1 Q582E**
**HSV-GluR2 WT **

- Adapted from Bredt and Nicoll, 2003

**Notes:**
Studies conducted by Malinow and others indicate that over-expression of WT and dominant negative  GluR constructs alters AMPA-mediated synaptic responses both in vitro and and in vivo 

## NAc Glutamatergic Deficits in Cocaine Addiction

_**Input to NAc**_
**	**
**Hypofrontality in humans****	****	****(Volkow et al., 1992, 2000; ****	****	****London et al., 1999)**
**Reduced basal extracellular glutamate**** ****	****	****	****	****(Keys et al., 1998; Bell et al., 2000)**
**Reduced AMPA response**
**	****(White et al., 1995)**
**LTD in PfC-NAc synapses w/sensitization****	****	****	****(Thomas ****	****et al., 2001)**

**NAc Glutamatergic Deficits in Cocaine Addiction**

## mRNA Levels

**Sutton et al., 2003**

## Cocaine-Seeking Behavior

**Drug-paired lever responses**

**Sutton et al., 2003**

## HSV-GluR1/R2 reduces cocaine only

_**Cocaine**_

**Extinction**

**Sutton et al., 2003**

## Acknowledgements

_**VTA Studies**_
**Kwang-Ho Choi**
**Scott Edwards**

_**Collaborators**_
_**Southwestern Med. Ctr.**_
**Lisa Monteggia**
**Amelia Eisch**
_**Harvard University**_
**Rachael Neve**

**Supported by NIDA grants DA 10460, DA 08227, DA 13796,**
**and the Wesley Gilliland Professorship in Biomedical Research**

_**NAc Studies**_
**Ryan Bachtell**
**Kwang-Ho Choi**
**Mike Sutton**
**Eric Schmidt**
**Kim Whisler**
# Presentation: 070479

## Furan in Food Summary andCharge to the FAC and SCNT

**Terry C. Troxell, Ph.D.**
**Director**
**Office of Plant and Dairy Foods**
**FDA Center for Food Safety**
**and Applied Nutrition**
**June 8, 2004**

## FDA actions onfuran in food

- Development of quantitative method
- Available on CFSAN website
- Undergoing round robin testing
- Exploratory survey
- More than 150 infant and adult foods tested
- Testing of more foods underway

## FDA actions onfuran in food

- Preliminary exposure assessment
- FR request for data and information
- International interactions
- Already yielding advances in understanding formation

## Some future actions onfuran in food

- Evaluation of received data
- Review of NTP study by Cancer Assessment Committee (CAC)
- Development of Action Plan

## Data Needs: Occurrence and Exposure

- Particular foods in which furan occurs
- Levels of furan in these foods
- Formation and occurrence in home-prepared foods
- Environmental sources of exposure to furan for the typical consumer

## Data Needs:Mechanisms of Formation

- Possible mechanisms of furan formation
- Variables that enhance or mitigate furan formation
- The stability or dissipation of furan in foods
- The effect of post-production practices on furan levels in foods

## Data Needs:Toxicology of Furan

- Mechanism(s) of furan toxicity, mutagenicity, and carcinogenesis
- The reproductive and developmental toxicology of furan
- The metabolism of furan *in vivo* including characterization of reactive furan metabolites

## Data Needs:Toxicology of Furan

- The diversity of furan pharmacokinetics in humans or the alteration of furan metabolism as a result of dietary, medical, or environmental interactions
- Data on whether sub-cytotoxic furan doses produce any adverse effects, such as a change in enzyme activities or ATP levels

## Data Needs:Toxicology of Furan

- The effects of furan doses lower than those used in the NTP study
- To establish a dose-response curve for various toxicological endpoints
- To determine whether furan toxicity, including carcinogenesis, is a threshold dependent event
- To determine whether carcinogenic activity is secondary to hepatotoxic effects

## Data Needs:Toxicology of Furan

- The mutagenicity of furan in the TA100 strain in the Ames test
- The behavior of furan in other *in vivo* assays for mutagenicity or toxicity

## Charge

- The Food Advisory Committee and Contaminants and Natural Toxicants Subcommittee are being asked to provide input on data that would be helpful for further evaluation of potential risks posed by the presence of furan in food.

## Question

- Taking into consideration the data needs already identified in the Federal Register notice requesting data on furan, and the presentations at this meeting, are there any additional data that are needed to fully assess the risk of furan in food?

## Thank you for your participation in the FAC/SCNT meetingon furan in food.
# Presentation: 366557

## History of the Prescribed TimesforWeather Observations 1817-1948

- Glen Conner
- Kentucky State Climatologist Emeritus

## Proposal for Monograph

- Write a reference document for climate researchers
- Describe the prescribed times of observations
- Discuss how and why the prescribed times varied
- Explain the rationale for those variances
- Prior studies were of deviations from prescribed times
- No compilation or analysis of the prescription
- CDMP extends digital climate data deep into nineteenth century
- Before Standard Times

## Prescribed Observation Times Varied 

- Time Itself Varied
- Sun Time, 75th Meridian Time, Standard Times, UTC
- Standard zones changed after implementation
- Time of Observation Varied
- Sunrise, 7 a.m., 8 a.m.
- Noon, 1 p.m., 2 p.m., 3 p.m.
- Sunset, 8 p.m., 9 p.m.
- Beginning of a 24 hour day
- 7 a.m., 5 p.m., midnight

## Observation Times Varied by Organization

- Surgeon General Network
- Smithsonian Institution Network
- Signal Service Network
- Signal Service Volunteer Network
- Weather Bureau Network
- First, Second, and Third Order Stations
- Cooperative Observer Network
- National Weather Service Networks

## Rationale for Prescribed Time of Observations

- Sunrise–Sunset Observations
- Morning–Afternoon–Evening Observations
- Six times per Day Observations
- Hourly Observations
- Calculation of Means
- Each prescribed time was thought to be the best choice

## Conclusion 

- CDMP’s nineteenth century climate datasets
- Should become the baseline for climate studies
- Before sites were moved downtown
- On top of tall buildings
- Amid urbanization problems
- Before sites were moved to airports
- New baseline presents new problems of times of observation
- Not encountered before
- A reference document is needed
# Presentation: 300118

## MNM Fatal 2004-10

- Machinery Accident
- June 1, 2004 (Michigan)
- Sand & Gravel Operation
- Superintendent
- 49 years old
- 4 years experience

## Overview

- The victim was operating a dragline that rolled into a 20 feet deep water-filled pit.  He jumped from the dragline as it rolled into the water but became entangled in the crawler track.

## Boom of dragline in water

## Overview of scene

**Pit and bank**

**Dragline after pulled from water.**

## Boom has been damaged by fall into water and recovery efforts.  Recovery cables had been attached to boom.

## Why Did Accident Occur?

- The victim failed to lock the crawler track brakes before preparing to dig.  The inertia of the boom while in the swing mode and the slope of the ground at the water’s edge contributed to the dragline rolling into the water.

## Causal Factors

- The track brake on the dragline had not been locked in the “on” position.
- Limited training had been provided to the victim before he operated the machine.

## Best Practices

- Ensure that only experienced and fully trained equipment operators operate equipment in potentially hazardous locations.
- Ensure that mobile equipment is positioned a safe distance from the edge of water before performing work.
- Ensure that the machine's track brakes are set before performing work.
- Require flotation devices be worn by persons operating mobile equipment in the vicinity of water.