BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 204666

## A PyTrilinos Overview for Developers

**Bill Spotz**
**Trilinos Users Group Meeting**
**November 4, 2004**

## Outline

**Quick PyTrilinos demo**
**Wrapping code for python**
**SWIG (Simple Wrapper Interface Generator)**
**Interface files**
**Compiling wrapped code**
**Python ****distutils**** module**
**setup.py**** scripts**
**Integration into Trilinos repository**
**Current structure**
**Alternative structure**
**Unit test example**
**PyTrilinos Issues**

## Quick PyTrilinos Demo

## Wrapping Code for Python: SWIG

**Simple Wrapper Interface Generator**
**Source languages:**
**C**
**C++**
**Target languages:**
**chicken**
**csharp**
**guile**
**java**
**mzscheme**
**ocaml**
**perl**

**php**
**python**
**ruby**
**sexp**
**tcl**
**xml**
**Generate code using target language API that**
**converts arguments**
**calls function (method)**
**converts return arguments **

## Wrapping Code for Python: SWIG

**SWIG directives in interface file**
**%{ ... %}****  ****insert source code**
**%ignore****  ****ignore code**
**%rename****  ****rename function, class, etc.**
**%typemap****  ****define argument conversions**
**%include****  ****wrap functions, etc., in header file**
**%extend****  ****new methods for a class**
**Command-line invocation:**
**swig -I../include -python -c++ interface.i**
**Produces**
**interface_wrap.cxx**
**interface.py**

## Compiling Wrapped Code

**Need to compile interface_wrap.cxx and link to compiled source code to produce ****dynamic library**** or ****shared object**** compatible with python.**
**Python ****distutils**** module to the rescue: knows how python was compiled on current platform and how new modules need to be compiled.**
**By convention, ****setup.py**** script**
**import**** distutils**
**Extension**** class**
**setup()**** function**
**Commands:**
**python setup.py build**
**python setup.py install**
**etc.**

## Integration into Trilinos Repository

- Trilinos

- config

- doc

- packages

- testharness

- epetra

- epetraext

- nox

- PyTrilinos

- Epetra.i

- EpetraExt.i

- NOX

- Abstract.i

- Epetra.i

- Parameter.i

- Solver.i

- StatusTest.i

- Makefile.am

- configure.ac

- setup.py

- src

## Alternative (Proposed) Structure

- Trilinos

- config

- doc

- packages

- testharness

- epetra

- epetraext

- nox

- Makefile.am

- configure.ac

- setup.py

- python

- src

- Makefile.am

- Epetra.i

- test

## Unit Test Example

## PyTrilinos Issues

**Dependencies**
**Currently serial only . . .**
**Python**
**Numeric**
**SWIG (1.3.19 - 1.3.21 . . . *****not***** 1.3.22)**
**SWIG issues**
**Could make *_wrap.cxx files part of distribution . . .**
**Currently relies on installed runtime libraries (which are deprecated in 1.3.22)**
**Could compile runtime library locally . . . libtool**
**Plans**
**Eliminate SWIG dependency**
**Make structure decision**
**Add MPI**
**Add more Trilinos packages...**
# Presentation: 022780

## 1958 Lituya Bay, Alaska Earthquake

**  ****Magnitude 7.9**
**  ****Rupture Length 90 to 280 km**
**  ****Surface Displacement 3.5 to 6.5 m**

- Photographs by Lloyd Cluff and George Plafker

## Fairweather fault

**Fairweather fault**

## 1958 Lituya Bay Earthquake, M 7.9 

**1958 Lituya Bay Earthquake, M 7.9**** **
**Rupture length 95 to 280 km**
**Fairweather fault**
**6.2 m RL**

***Lituya Bay***

## Slide 4

## Line of

- disrupted
- trees along
- fault rupture

## Slide 6

## Disrupted tree zone

**Disrupted tree zone**
**3 to 5 m wide**

**SS-RL 4 to 6 m**

## Disrupted tree zone

***Lituya Bay Earthquake, Fairweather Fault (6.2 m) ***
**Surface fault rupture through trees **

- 3 to 5 m wide

## Glacial Ice Faulted by RL-Slip Along 

***Glacial Ice Faulted by RL-Slip Along ***
***Fairweather Fault - 4.8 m***

**Surface rupture zone varies, 1 to 50 m wide**

## Slide 10
# Presentation: 167825

## Status of L3/DAQ

**Baseline System**
**Status**
**Commodities System**
**Near Term Schedule**
**Outlook**
**(Oversight by L3 Technical Committee with members from D0 & CD)**

## Schematic

## Details

**Custom Hardware designed & produced by Zeller Research Labs, installed/implemented  by Brown **
**~300 cards of 4 flavors:**
**(8) VME Receiver Collector  = VBDI+SIB**
**(3) Segment Bridge = SIBs**
**(48) Node = SIBs  and CPUs**
**(1) Event Tag Generator = VBDI’/ETI/SIB**
**All with NT operating system**
**Switch & filtering nodes**
**Linux**
**Added May 4****th**
**Development & Implementation by D0 (G. Brooijmans, R.Hauser)**

## Current Status

**Three hardware prototype VRCs installed and integrated!**
**SB & ETG emulated with PCs & Software**
**Switch and filtering nodes not installed  ********  processor nodes currently filtering.**
**Performance**
**Sustained Rate of 80Hz**
**Effective Rate of 50 Hz**
**More than adequate for commissioning (<20Hz)**
**Schedule slipped ~2wks in 2mos.**
**Filtering nodes purchased & burn-in begins this week.**

## Commodity Solution

**Have a conceptual design of a full commodities solution which **
**replaces VBDs with a Single Board Computer (SBC)**
**uses ethernet and switches to distribute data, and**
**utilizes the current filtering farm.**
**All results to date indicate 1kHz BW can be achieved without difficulty.**
**M.Johnson and D.Petravick leading this effort**
**Have 1-2 FTEs from CD and D0 each preparing for a slice demonstration with 2SBCs, switches, and nodes to be followed by a 10SBCs test.**

## 2 Month Schedule

**October 8: **
**12 VBDi’s and 24 SIBs produced. Replace prototype VRCs**
**Filter software integration complete**
**October 15: **
**Farm Burn-in complete**
**Slice Test of Commodities Solution**
**October 29: Full pipeline in operation at ZRL at rate and w/o error for 10 hours. Slice=VRC+SB+L3node**
_**November 5**_**: Evaluate options.**
**November 12: Two full slices in operation. All production boards in hand.**
**November 16 (end of shutdown): Filtering Farm Commissioned**
**November 19: Two pipelines of a segment bridge installed at D0.**

## Outlook

**Patient’s condition upgraded from grave to serious**
**Currently ZRL/Brown DAQ is the default solution.**
**Because of schedule and technical risks commodities solution pursued with vigor.**
**Key Issues**
**Date to completion (schedules under discussion now)**
**Disruption of data-taking**
**Long-term maintenance.**
**Several options available to us, but will need ~2 months to fully address issues. **
# Presentation: 676816

## P5 recommendation on Tevatron running

- Report of June 8 meeting
- FNAL

## Charges 

- Should the Tevatron run through the end of FY09 as currently planned?
- What are the factors and considerations which might lead to running beyond FY09?

## Run through FY09?

- Will the accelerator deliver interesting level of integrated luminosity?
- Can the detectors handle the luminosity?
- Do the collaborations have the people to operate the detectors and analyze the data?

## Running beyond FY09

- What is present reach and prospect for new discoveries?
- Trigger issues
- Endgame strategy
- Battling the sqrt N barrier--will a few more fb-1 matter?

## Running beyond FY09

- What is present reach and prospect for new discoveries?
- Trigger issues
- Endgame strategy
- Battling the sqrt N barrier--will a few more fb-1 matter?

## Accelerator projections

- Driving indicators
-  25 mA/hr stacking
-  > 100 store hours per week

## D0 detector performance

- Basically running well, producing nice results
- Remaining issues for 09:
- Silicon radiation damage
- Fiber tracker occupancy

## Silicon tracker 

-   Good to go for 09

**Notes:**
Explain inversion

## Fiber tracker

- Beginning
- of store

- More typical

**Notes:**
Large poisson tail, beginning of store has LHC-like events per crossing at few percent probability

## CDF Detector

- Running well, producing nice results
- Issues
- Inner silicon radiation damage
- Intermediate silicon cooling problem

## Silicon radiation

- Good to go through 09

## ISL cooling

- good

- bad

- hole

- Port card cooling ring

- Manifold

- Cooling Pipes

- Repair in Aug with
- “reverse angioplasty”

**Notes:**
ISL cooling system sucks
Angioplasty uses catheter to open a blockage, here it is closing an opening hence “reverse” angioplasty

## D0 people power 1--needs

- actuals

**Notes:**
Some skepticism about algorithms reduction

## D0 people power 2- available

- or

## CDF people power 1--needs

|  | CY 07 | CY 09 |
| --- | --- | --- |
| Detector Ops | 56 | 51 |
| Offline  | 26 | 20 |
| Algorithms | 32 | 21 |
| Management | 10 | 10 |
| Total for Ops | 124 | 102 |

- * FTE’s

## CDF people power 2--available

|  | CY 07 | CY 09 |
| --- | --- | --- |
| Service Needs | 124 | 102 |
| Resources Available | 392 | 236 |
| Resources for Physics | 
392 – 124 = 268 FTE | 
134 FTE |

- 

## CDF people power 3--expertise

**Notes:**
In this example, management needs to identify (and train) person at 25% time for 4 quarters to cover ASD

## Findings summary

- Accelerator running well and will likely deliver 6-7 fb-1 by end of FY09
- CDF and D0 detectors running well, some issues for 09 but no show-stoppers
- CDF resources matched to needs through FY09
- Concerns about D0 people power in FY09
- Examine case for running beyond 09 at next P5 meeting (likely end of September)

## Recommendations summary

- Tevatron should run through end of FY09
- Lab should work with D0 to augment human resources
- Visitors program is highly leveraged and cost-effective
- Additional Applications Physicists?
# Presentation: 034358

## Digital Single Event Transients (DSETs)Task 04-045

** **

| Cost   |   |   |
| --- | --- | --- |
| Schedule |   |   |
| Technical |   |  |
| Programmatic |   |  Survey risk is extremely low and of great value |

**Total ROM Cost (non-CS) = $ 80K **

**Description:**

**Benefits:**

**Schedule/Costs:**

**Risks:**

- Red, Yellow, or Green

**Lead Center/PI: ****GSFC/C. Poivey**
**Co-Is: ****JPL/Farok Irom**
**Center Funding Split: ****GSFC - $40K/0.4, JPL - $40K**

**Non-NASA Organizations/Procurements:**
**Defense Threat Reduction Agency (DTRA) is**
**co-funding**

**CS FTEs = 0.4 **

**Deliverables:**

- Deep submicron CMOS technology (re: COTS digital microelectronics) are now moving to the feature size and speed (>1 Ghz) regime where transients induced by a single particle can propagate to storage elements (I.e.,  a spike causing a bit flip). Technology models used in engineering tools like CREME96 are based on only direct particle hits to storage elements.
- In FY04, we propose to survey test techniques for digital devices, determine  whether existing test methods are adequate in identifying this issue, identify potential impacts of these DSETs to NASA systems, and provide recommendation for efforts required to update CMOS models for predictive tools as well test techniques.

- The key benefit is to understand the adequacy and/or
- limitations of existing test methods and radiation tools. We
- expect that these tools/methods will provide an answer that
- is underpredicting actual issues, thus compromising
- mission reliability. Improved qual and tools will allow
- safer utilization of digital COTS in NASA missions.

- Survey of models and identification of deficiencies in predictive
- tools for DSET occurrence (speed, feature, size, etc) (GSFC)
- Survey test techniques for digital CMOS for SEUs and provide
- recommended approach. (GSFC).
- Survey digital CMOS COTS vendors determining scaling/power/
- speed trends/roadmap and availability and future availability (JPL)

- Strategic # 12, Slide # 18
# Presentation: 715966

## Global IOOS Milestone:  New Platforms in Service

-      FY2006 Target: 761 new ocean observing platforms deployed and reporting;
-      Mar 2006: 463 total ocean observing platforms (target 381)); 378 ARGO floats

- Mar. 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: 139338

## Columbia University

**Columbia University**
- Amy Hale
- Won Yung Choi
- Yaniv Eyny
- Johannes Schwaninger
**Princeton University**
- Barry Jacobs, Ph.D.
- Tripp Stewart

## A photo-emitter -detector reports each head entry into the food compartment

- Movement of the rat is detected as its infrared body heat crosses compartments of a mounted lens.

## Sprague-Dawley rats received 16 days of drug-free training (28 trials/day).

- <date/time>

- Sprague-Dawley rats received ***16*** days of drug-free training (28 trials/day).
- On day **17**, rats were pretreated with vehicle, D1 antagonist SCH23390 or D2 antagonist raclopride.

- Pellets drop, *on average*, every 70 sec.
- Each pellet delivery is preceded by a 400 ms, 78 dB sound.
- 28 trials are presented during each session

## Drug free

**Subject 31**

- Seconds (relative to CS onset)

## D1 antagonistSCH 23390

**Subject 31**

## Selective D2 dopamine receptor blockade 

- from Horvitz and Eyny 2000

## Dopamine is needed to execute internally-generated responses,but not for responses to a well-acquired conditioned stimulus

## Slide 8

## D1 receptor blockade increases the frequency of missed trials early but not late in training

- <date/time>

- D1 receptor blockade increases the frequency of missed trials *early* but not late in training

- Missed trials (proportion of  total)

- Days of training

- 0

- 0.1

- 0.2

- 0.3

- 0.4

- 0.5

- 0.6

- 0.7

- 0.8

- 0.9

- 1

- 3

- 17

## But is necessary to execute responses to a conditioned stimulus during early stages of learning

- Dopamine is  *not needed *to execute responses to a well-acquired conditioned stimulus

## 0

- 1

- 2

- 3

- 4

- 5

- 6

- 7

- 3/3

- 3/7

- 7/7

**Training Sessions/Days**

**Latency (sec)**

- Veh

## 0

- 1

- 2

- 3

- 4

- 5

- 6

- 7

- 3/3

- 3/7

- 7/7

**Training Sessions/Days**

**Latency (sec)**

- Veh

- SCH 0.16

## CORTEX

- Motor planning
- (anterior frontal lobe)

- Motor strip

- Striatum

- DA neurons

- Thalamus

- Gl Pall

- sensory

## Dopamine neurons respond to salient auditory and visual stimuli

## Dopamine neuronal response to a click is enhanced when the click signals reward delivery

- click

- click signals reward

- click

- click signals reward

- 1

- 4

- 3

- 2

## D1 receptor blockade disrupts acquisition of head-entry response to food cue

- 0

- 0.1

- 0.2

- 0.3

- 0.4

- 0.5

- 0.6

- -10

- -9

- -8

- -7

- -6

- -5

- -4

- -3

- -2

- -1

- TONE ONSET

- 1

- 2

- 3

- 4

- 5

- TONE END

- 7

- 8

- 9

- 10

- 11

- 12

- 13

- 14

- 15

**Head-in (proportion of trials)**

- Unpaired

- Veh

## D1 receptor blockade disrupts acquisition of head-entry response to food cue

## D2 receptor blockade promotes acquisition of head-entry response to food cue

- 14

- 15

- D2 receptor blockade *promotes* acquisition of head-entry response to food cue

## Dopamine plays a critical role in the acquisition of responses to new environmental stimuli, and D1 and D2 receptors appear to play opposing roles in this process.
# Presentation: 548844

## Access Grid 2.0

- Node Management

## Overview

- Node Management will:
- enable users to easily configure and control their Node’s hardware and services
- provide access to this functionality to local and remote clients

## Use Cases

- Discover Resources
- Add a Service
- Remove a Service
- Configure a Service
- Discover a Node for leashing
- Leash to a Node

## Requirements I

- Discover and control node hardware and services
- Network accessible, to deliver control to any authorized user

## Architecture I

- Attributes
- Identification
- Authorization Policy
- Users
- Node Services

## Architecture II

- Operations
- Login
- Modify Authorization Policy
- Add/Remove Node Services
- Query Node Services
- Query Node Service Configuration

## Architecture III

- Operations (continued)
- Configure Node Service
- Start/Stop Node Service
- Discover Capabilities

## Technology Strategy

- Employ Web Services to enable communication between Server and Node components distributed across multiple machines

## Technology Choices

- Node Components will implement a SOAP interface
- Node Services will be described in WSDL
- Identification and authentication will employ Globus

## Design I

- Node Components
- Resource
- Service
- Daemon
- Server
- Client

## Design II

**Resources** are the sources of collaborative data, such as video capture cards or microscopes
**Services** are software components that make Resources available to a Node for use in a Venue
**Daemons** provide details of Resources and Services on machines, and permit management of the Services in a Node
- The **Server** maintains the configuration of the Node and communicates changes to Daemons and Services
**Clients** can connect to the Server to view and modify Node Configuration

## Design III

- The Server will communicate with the Node Daemons to:
- Discover resources available on node machines
- Configure Services on those machines

## Design IV

- The Server will communicate directly with Services to:
- Configure hardware and software parameters
- Start and stop a Service

## Open Issues

- Need to define Resources (e.g., video capture cards, microscopes) in a flexible enough manner to accommodate different resource types and platforms

## Conclusion

- Node Management will make it easier to add and configure Services
- Node Management will provide the capability for remote node management

## Questions?
# Presentation: 093146

## United States Department of AgricultureNatural Resources Conservation Service

- Helping people help the land

- in Minnesota

## A Legacy of Conservation

**A Legacy of Conservation**

**Born in the Dust Bowl of the 1930s, the Soil Conservation Service, now NRCS, has helped millions of private landowners protect soil, water, and related resources.**

## NRCS Mission

- Helping People Help the Land.

- NRCS Vision

- Productive lands. Healthy environment.

## Our clients

- Private landowners
- Farmers
- Cities and towns

## Slide 5

## Our partners

- Conservation Districts
- Minnesota Association of Soil and Water Conservation Districts
- Resource Conservation & Development Councils
- Minnesota Department of Agriculture
- State agencies
- Federal agencies

## Resource Conservation & Development (RC&D) areas

## Minnesota NRCS offices

## NRCS Minnesota staff

- Soil conservationists	- Soil scientists
- Technicians	- Engineers
- Geologists 	- Natural resource specialists
- Agronomists	- Administrative staff

## NRCS programs and services

- Conservation planning and technical assistance
- Farm Bill programs
- Resource Conservation & Development
- Emergency Watershed Protection
- Small Watershed Program
- Soil Surveys
- Natural resource information

## 2002 Farm Bill programs

- Cost-share programs
- Environmental Quality Incentives Program
- Wildlife Habitat Incentives Program
- Easement programs
- Farm & Ranch Lands Protection Program
- Wetland Reserve Program
- Grassland Reserve Program
- Stewardship program
- Conservation Security Program

## www.mn.nrcs.usda.gov

- Helping people help the land
# Presentation: 203835

##       Federal Communications Commission

**      ****A Consumer Information Bureau Publication****1-888-CALL-FCC (voice)                                                                                                                                1-888-835-5322(TTY)  **** www.fcc.gov**

**      ****Federal Communications Commission**

- Consumer Tips

**NAVIGATING CUSTOMER SERVICE OPERATIONS**
******  ****Call when volume is normally low, usually Wednesday through Friday, from mid-  **
**     ****morning through afternoon, excluding lunchtime.  **
******  ****Before making your call, have pencil and paper handy, as well as any information **
**     ****that will help resolve the problem, such as a copy of your bill, account numbers, **
**     ****dates when the problem occurred, etc. **
******  ****Pay close**** attention to the pre-recorded information.  Often the most common **
**     ****questions are answered by recordings.**
******  ****To go directly to a live representative, wait until the initial pre-recorded message is **
**     ****finished, just like you would if you were calling from a rotary phone.**
******  ****If English is not your primary language, ask if there is a representative who can **
**     ****speak your language. **
******  ****Don’t be afraid to ask questions.  Write them down before making your call.**
******  ****Even if you are angry, it is best to speak calmly and clearly.  A negative tone is  **
**     ****contagious.  Be firm, but polite.  The person you are speaking with is generally not     **
**     ****the problem.**
******  ****Always get the name or operator number of the customer service representative to **
**     ****whom you are speaking.**
******  ****Know what you want out of the call, i.e., a refund, credit, etc., and state it clearly.**
******  ****If the representative says a specific action will be taken to correct the problem, ask **
**     ****for it in writing.**
******  ****If you are transferred, ask for the direct number and name of the person to whom **
**     ****you are being referred in case you are disconnected.**
******  ****If you feel that you are getting “nowhere” with the representative, ask to speak to a  **
**     ****supervisor.**
****** **** ****If you make repeated calls to a particular customer service center, write down the             ********   ****pre-recorded message prompts in your phonebook, i.e.,  press “0” for a live operator,          **
**    “****1” for..., etc. **

- Putting People in the Picture

- Putting People in the Picture

- Consumer Information Bureau

## Slide 2
# Presentation: 246668

## Stellar Imager (SI)

**Stellar Imager (SI)**

_**Science Objectives:**_
**Develop and test a predictive dynamo model for the Sun by:**
* **observing the patterns in surface magnetic activity for a large sample of Sun-like stars *(with ~1000 res. elements on surfaces of nearby stars)
* **imaging the structure and differential rotation of stellar interiors* via  asteroseismology with over 30 resolution elements on stellar disks
** ***carrying out a population study of Sun-like stars* to determine the dependence of dynamo action on mass, internal structure, flow patterns, and time.  This will enable testing of dynamo models over a few years of observations of many stars, instead of over many decades using only the Sun.
_**Associated Research Focus Areas:**_
**F4**:Understand creation & variability of magnetic dynamos & how they drive the dynamics of solar, planetary, & stellar environments; **H1**:Understand the causes and subsequent evolution of solar activity that affects Earth’s space climate and environment; **H4**:Apply our understanding of space plasma physics to the role of stellar activity and magnetic shielding in planetary system evolution and habitability; **J2**: Develop the capability to predict the origin and onset of solar activity and disturbances associated with potentially hazardous space weather events

_**Mission Implementation:**_
- *Interferometer with 9 to 31 formation-flying spacecraft. The number of mirror elements determines the time needed to complete an image, and thus the number of possible targets
- *Location:  Sun-Earth L2
- *Attitude control:  3-axis stabilized
- *Type of instrument(s):  remote sensing imagers
- *Payload resources: up to 5000kg/3000W/1-5Mbps
_**Measurement Strategy: **_
-  UV/optical interferometric spectral imaging
-  angular resolution of images better than 0.1 milli-arcsec
-  spectral resolution R=100 requirement, R=20000 goal
-  measure internal structure & rotation of select stars with <50,000 km resolution in & below convective zones

- SI is a UV/optical deep-space telescope to image stars like the Sun with 0.1 milli-arcsec resolution, to help understand the solar dynamo, the internal structure and dynamics of magnetically active stars, how magnetic activity drives space weather on time scales of years to billions of years, and how that affects planetary climates and habitability.

- For more information, see: *http://hires.gsfc.nasa.gov/si/*

_**Enabling and Enhancing Technology Development:**_
-  Precision formation flying with low-mass, efficient propulsion
-  Optics control and beam combining with ~5nm precision
-  Integration and test of many-element, long baseline   distributed aperture system
-  Mass-production of lightweight, UV-quality mirrors
# Presentation: 855137

## Some Profiler Work

- Jim Kowalkowski

## Motivations

- For spending some time recently on this
- Check performance of CMS simulation code
- Create call traces from LQCD MILC code to learn what it is doing
- Check performance of LQCD MILC code to see if certain routines are taking any time
- Looking at some R/ROOT code with Adam
- For creating a tool (recalled from a while back)
- Reports names from static & dynamic libraries.
- Runtime instrumentation
- Low overhead
- Call path analysis (which module is causing trouble)

## Recent Activities

- Got a demo of Linux version of Rational’s PurifyPlus performance analysis tool
- Use is like Purify – runtime instrumentation
- Produced information looks good – *looks like a nice tool*
- Slow to run (like Purify)
- http://www-306.ibm.com/software/awdtools/purifyplus/unix/features
- Looked at CallGrind (Valgrind tool)
- Trouble compiling visualization tools (web pictures look nice)
- Text output looks interesting
- Slow to run
- _[http://kcachegrind.sourceforge.net/cgi-bin/show.cgi/KcacheGrindIndex](http://kcachegrind.sourceforge.net/cgi-bin/show.cgi/KcacheGrindIndex)_
- Upgraded my simple tool
- Recent version of gcc
- Still having trouble decoding stack under certain conditions
- Attempted to use Linux RT signals (results not good)
- Embedded into CMS framework service for testing

## Other

- Wished I had time to look at recent version of other tools I tried in the past
- VTune – from Intel
- OProfile
- Simics – x86 emulator that runs Linux
# Presentation: 901818

## What is REVEAL?

- Prototype strap-down (vehicle-independent) instrumentation system
- REVEAL provides the traditional (manned) airborne laboratory support items
- data acquisition and distribution, state parameters, recording, and networking infrastructure,
- but with far less size, weight and power than previous systems
- Self-contained with internal sensors (inertial reference system, GPS, instrument-grade accelerometer and clinometer), heater, GPS splitter, UPS, and power/temp/pressure/humidity monitoring,
- Also has external interfaces for analog, serial, video, and avionics buses.
- REVEAL on Altair leverages Iridium satellite connectivity so that geographically distributed researchers can maintain situational awareness of vehicle and instrument states in near realtime.
- Built on open standards; dynamically reconfigurable; designed for broad class of sensor web and airborne instrument communication R&D applications.

## Why is REVEAL?

- A vehicle-independent interface for UAV-based science instruments is valuable
- Cost reduction
- Eliminate needless repetition of data & comm interface engineering
- Risk mitigation
- Reduce need for integrated instrument and vehicle C3I data link
- Weight, volume, power constraints
- We need to evolve better capabilities and greater capacity to do useful work on UAVs
- REVEAL helps evolve network-centric approaches to payload integration, command, control, monitoring, etc.

## Why? 

- The future of exploration & observation
- Is a network-centric, layered, complex system-of-systems.
- start building the suborbital layer!

- Why?

**Notes:**
One of the areas we’ve made progress on lately for OTH is to construct a standard instrument package that we could 
 - easily install on suborbital platforms 
 - use as a development tool for OTH communications systems
 - provide added value to the other instruments, both as a houskeeping data source and as a network communications gateway
 -

## Nominal Use Case Scenario

**Vehicle**
**Systems**

**Experiment 1**

**Experiment 2**

**Experiment 3**

**Research Group 1**

**Research Group 3**

**Research Group 2**

**Aircraft**

**Wireless**
**Network**
**(e.g. Iridium)**

**(Future)**

## Use Case Scenario (detail)

- Tele-control

- Tele-observation

- Network Computing

**Prototype an end-to-end capability**
**OTH Connectivity**
**Instrument Interaction**
**On-board computing resource**
**Web Access**

**NASA**

## Slide 7
# Presentation: 748679

## US CMS EMU - FNAL

**Panel Thickness**
**October ‘98 Order**
**14 panels**
**Measurements by QA/QC group by deep-throat caliber**
**6 panels measured**
**March ‘99 Order**
**28 panels**
**6 panels measured**

**6 inches**

## US CMS EMU - FNAL

**Feb. Measurements (Nov. order)**

**Results**
**Max  643 mils**
**Min  617 mils**
**Aver.  624+/- 4**
**Proposal**** **
**Spec.  624 +20-10**

## US CMS EMU - FNAL

**US CMS EMU - FNAL**

**Apr. Measurements (Mar. order)**

**Results (overall Surface)**
**Max  654 mils**
**Min  605 mils**
**Aver.  629 +/- 7**
**Problems with Delamination**
**Results (internal Surface)**
**Max  645 mils**
**Min  618  mils**
**Aver.  629 +/- 6**
**    ****Proposal:  624 +20-10**

## US CMS EMU - FNAL

**Panel Flatness**
**July (?) ‘98 Order**
**35 panels (at least) **
**Laser system**
**5 panels measured**
**March ‘99 Order**
**28 panels**
**New Platens**
**6 panels measured**
**Short-Distance Bowing**
**Less than 7 mils over 2 feet**

## US CMS EMU - FNAL

**July ‘98 Order**

## US CMS EMU - FNAL

**July ‘98 Order Summary**

**x-bowing**
**~****60% of the panel surface satisfies the 7 mils req.**
**~90% of the surface satisfies a 15 mil req.**** **
**y-bowing**
**~****90% of the surface satisfies the 7 mils req. **
**~100% at 10 mils**

## US CMS EMU - FNAL

**March ‘99 Order Summary**

**2 cases:**
**~50% identical to ‘98 order **
**~50% satisfactory**
**~80-90% of the surface satisfying the 7 mils req.**
**~100% satisfying the 10 mils req.**
**The discriminating factor may be the**** location in the assembly press**

## US CMS EMU - FNAL

**Proposal for panel procurement:**
**Release the technical spec. to 90% of the surface satisfying the “10 mils variation over 2 feet” specification**
**Thickness spec to 625+20-10**
**Order 200 panel (for FY98 panel production)**
**Spend one month in the sommer for further R&D on Plascore tooling. **
# Presentation: 431495

## Improved Measures of the Misreporting of Income	

**Howard Krakower **
*National Economic Accounts Data Users’ Conference*
- April 13, 2007

## Overview

- Underreporting of income
- Based on audits of individual tax returns
- Nonreporting of income
- Based on exact-match studies

## Underreporting of Income

- Published estimates based on studies for 1976, 1979, 1982, 1985, 1988
- No benchmarking since the 1988 study
- Published extrapolations primarily based on fixed ratios of reported and underreported income
- Sizeable adjustments
- Very large adjustments to nonfarm proprietorship and partnership income
- Appreciable adjustments to wages and salaries

## Nonfarm proprietors’ income

**Published estimates**

## Private wages and salaries

**Published estimates**

## Nonreporting of Income

- Published estimates of unreported income by industry based on exact-match studies conducted by the Census Bureau for 1977, 1990, 1996, 1999
- Adjustments to nonfarm proprietors’ and partnership income and wages and salaries
- No benchmarking since the 1999 study
- Studies provide summary comparison of income reported to the Current Population Survey (CPS) with IRS tax returns

## Published exact-match study

**Nonfarm proprietors’ income: nonreporting adjustment**

## Improved Misreporting Estimates

- Underreported income benchmarked to the 2001 National Research Program study
- Nonreported income benchmarked to the 2003 and 2004 exact-match studies
- Improved extrapolations and interpolations

## Nonfarm proprietors’ income

**Underreporting adjustment – published and possible adjustment**** **

- Possible revised adjustment

## Improved Misreporting Estimates

- Improved industry data
- New studies are NAICS-based
- Updated industry distribution for underreported income (2001)
- More current industry distributions for nonreported income (2003 & 2004)
# Presentation: 046583

## Module 2

**Conceptualizing Motivation ****and Change**

## What change did you make?
How did you decide to make this change?
What people or events influenced your decision?
What steps did you take to make the change?

- How did you decide to make this change?
- What people or events influenced your decision?
- What steps did you take to make the change?

- Personal Change Exercise

## Natural Change

- Change occurs
- In the natural environment
- Among all people
- In relation to many behaviors
- Without professional intervention

## Transtheoretical Model:Stages of Change

- Clients may move into *recurrence *from action or maintenance, then back into any stage of change.
- Adapted for TIP 35 from Prochaska, J., Norcross, J., and DiClemente, C., *Changing for Good, *New York: William Morrow and Company, 1994.

## Inspiring motivation to change 
Preparing clients to enter treatment
Engaging and retaining clients in treatment
Increasing participation and involvement
Improving treatment outcomes
Encouraging a rapid return to treatment if substance use recurs

- Preparing clients to enter treatment
- Engaging and retaining clients in treatment
- Increasing participation and involvement
- Improving treatment outcomes
- Encouraging a rapid return to treatment if substance use recurs

- Benefits of Using Motivational Enhancement Techniques
# Presentation: 675818

## AWIPS/ANC interactions

**Design**
**Progress to date**
**Remaining work to be done**

*1.*

## AWIPS/ANC interactions design

**Performs same as current CIDD system, but on AWIPS.**
**All human interactions in AWIPS**
**ASCII XML file two way communications**
**State of human interactions maintained in AWIPS**
**Regular updates -- update requests from ANC (data driven)****‏**
**Human generated updates sent to ANC (human event driven)****‏**

*2*
*.*

## AWIPS/ANC communications

**ANC:  “send me boundaries valid at  2007/11/26 18:00:00”**
**AWIPS: “boundaries at 2007/11/26 18:00:00”**
- 3 boundaries
- id=7, lat/lon/u/v sequence = (32.7,118.5,10,2),(),....
- id=8,lat/lon u/v sequence = (......),
- id=14 sequence = (.....)‏
**AWIPS: “new set of boundaries at 2007/11/26 18:00:00”**
- 4 boundaries
- Human=TRUE
- id=7, lat/lon/u/v sequence = (32.7,118.5,10,2),(),....
- id=8,lat/lon u/v sequence = (......)‏
- Id=14 sequence = (...)‏
- Id = 15 sequence = (...)‏

*3*
*.*

## AWIPS/ANC communications

**ANC:  “send me boundaries valid at  ****2007/11/26 18:06:00****”**
**AWIPS: “boundaries at ****2007/11/26 18:06:00****”**
- 4 boundaries
- id=7, lat/lon/u/v sequence = (32.9,120.5,10,2),(),....
- id=8,lat/lon u/v sequence = (......),
- id=14 sequence = (.....)‏

*4*
*.*

## AWIPS/ANC XML

- <ANC Boundaries>
-   <TriggerTime>
-     <Time>2007-11-26T23:42:28</Time>
-     <Utime>1196120548</Utime>
-     <TTime>2007-11-26T23:42:28</TTime>
-     <TUtime>1196120548</TUtime>
-     <TriggerType>Boundary</TriggerType>
-   </TriggerTime>
-   <Log>Boundary-- No ascii trigger 25 minutes</Log>
- </ANC Boundaries>

*5*
*.*

## AWIPS/ANC status

**Initial two way capability nearly complete**
- XML “language” has been specified and designed to by both MDL and NCAR.
- Initial implementation nearly one year ago
- NCAR implemented an AWIPS simulation capability
- Security/firewall issues have slowed us down
- Ready to debug and test once these issues are resolved

*6*
*.*

## AWIPS/ANC Status

**Testing Phase remains**
- Need to test every possible sequence of interactions (“Hammer” the system).
- Need to test various failure states
**Future versions**
- Installation will likely lead to upgrade requests from forecasters

*7*
*.*

## AWIPS Simulation

*8*
*.*

- XML data to
- lonestar

- XML update
- requests from
- lonestar

## Lonestar

*9*
*.*

- XML data from
- AWIPS sim

- XML update
- requests to
- AWIPS sim

## Lonestar

*10*
*.*

- XML data from
- AWIPS

- XML update
- requests to
- AWIPS
# Presentation: 066996

## Coloring Books -  Supplemental Activities Under RP1162

- Jeannette Jones
- DCP Midstream &
- GPA Representative

## Slide 2

**Notes:**
32 schools in Texas within 1000 feet (PS-87 Form)

## Slide 3

## Slide 4

## Slide 5

## Slide 6

## 811 Info go forward

## Suggestions- What to Communicate to School Officials

- Company Info
- Company Name & Your Role
- Location of Pipeline
- Product Transported (H2S)
- Monitoring Safety
- May see our personnel on property performing surveys
- Alarms
- How to Recognize & Respond to Leaks
- Call Before You Dig (8-1-1)
- Landscaping (excavators to make One Call)
- Closing info
- Leave your business card for future questions from parents
- Leave a Public Awareness Brochure
- Document Meeting & File
- Company representative who attended
- School contact
- Date of meeting & Number of coloring books

## For more info on coloring books

- John Manlove Marketing & Communications
- Pasedena, Texas
- (281) 487 – 5566
- Minimum Order = 1000 coloring books
# Presentation: 934915

## Novel Ordered States of Electrons

***Chetan Nayak, UCLA, DMR-0411800***

-  With M. Freedman and
-   S.  Das Sarma, the PI
-   proposed a device based
-   on a possible new state of
-   matter (non-Abelian FQH
-   state)
-  A step towards a
-   topological quantum
-   computer =>
- Exploit robustness of topological phases to perform fault-tolerant quantum computation.

## Young Scientists Trained:

- a quantum computing architecture built around this device.
- With P. Fendley and M.P.A. Fisher,
- analyzed the properties of point contacts in non-Abelian quantum Hall states, the basic building blocks of such devices.
- With several collaborators,
- analogous set-up in cold-atom systems proposed.

***S. Das Sarma, M. Freedman, C. Nayak, Phys. Rev. Lett 94, 166802 (2005). ***

- _Young Scientists Trained:_

- C. Bena, I. Dimov, W. Bishara

- _Outreach_:

- This work has been featured in *Scientific American* and *Physics Today*
- The supporting science:

- Public Dialog Lecture: “Electrons, Topology, and Quantum Computation’’
- (Aspen, CO.)
# Presentation: 683639

## Microsatellite Marker Development in Switchgrass

- Environmental Sciences Division
- Oak Ridge National Laboratory
- BFDP Subcontractor’s Workshop
- November 7, 2001

## Objective:

**To develop a robust set of genetic markers that are PCR-based, portable across labs and genotypes that can be applied to population analysis, marker-assisted selection, mapping and QTL analysis**

## Overall Objectives:		

**Develop genetic markers**
**Create mapping pedigrees**
**Construct a framework genetic map for switchgrass**

## What Are Microsatellites?

**Genetic markers based on variation of unique DNA sequences**
**1-6 nucleotide core element tandemly repeated, e.g.**
**	****	****atatatatatatatatatat = (at)****10**
**Allele size based on repeat number of core elements**

## How Can Microsatellites Be Used?

**Identity-unique individual**
**Relationship-relatedness among genotypes**
**Structure-partitioning of variation among and within populations**
**Location-mapping**

## Mining Microsatellites

**Cloning and sequencing**
**Sequence analysis and primer design**
**Primer testing and marker analysis**

## Cloning and Sequencing

- 1. Extract switchgrass genomic DNA

- 2. Digest, clone into plasmid

- 3. Amplify,sequence DNA

## Sequence Analysis

## Primer Design

**CGNATCCATATGCTGCAAGTGCTTGCCACTTGCAGTTTATGCTCTGAAACATGGAGCAGCAAGATGGCCCAACGAGCATA**
**TGTAAAGAAAGCATCAGGGACAGAGACCAGAACGATCTGTTGACCACAACTTGACTCGTCTAATCCTCGCAACAAAAAAC**
**TTGACTCATCTAAGACAACAACTAGCTATGTATGTTCC****ACATCATCAGCGCACAACAT****GCCACTGATCAGGGAGCGAGCT**
**CATCAGATTTGGCAAAGACGTGCAGGCCTCGCACCTGAATTGGGAAGGCCAAATCTGCCTGGCCGGGAGAAGCCAGGGC**
**GCTGGGTCCGGACCTAAACCCTGCCCGGCCGGCAA****CTCCTCCTCCTCCTT****GGCCGGNCAAGCTCAGC****TCTCACAGTCTCA**
**CACCCCA****CCGACNAAAAGCTAACGCCGCCTTGGGGCCCAACCCAACGGAGAGCACAACCCACTANCCTTTCANAGCAAGC**
** **
**OLIGO          ****	****      ****	****3' seq **
**LEFT PRIMER****	****	****ACATCATCAGCGCACAACAT**
**RIGHT PRIMER****	****TGGGGTGTGAGACTGTGAGA**
** **
**PRODUCT SIZE: 209**

## Primer Testing

- 1. Extract DNA

- 2. PCR amplification

- a

- b

- c

- d

## Marker Analysis

- 10 Alleles

- 1

- 2

- 3

- 4

- 5

- 6

- 7

- 8

- 9

- 10

- Single Locus

## Microsatellite Analysis

**1824 sequences**
**960 clones**
**664 total microsatellites**

## Dinucleotide Microsatellites

## Microsatellite Polymorphism

## Marker Survey: VK15, VS16

## Marker Survey: P13, VS16

## Marker Survey: P13, P19

## Future Directions

**Continue microsatellite R&D (ORNL)**
**Microsatellite map construction (with UGA)**
**Framework map construction (with UGA)**
**Comparative mapping (with UGA)**

## Acknowledgments

**Zamin Yang-ORNL**
**Shreni Keniya-Knox College**
**Ken Vogel-USDA-ARS, University of Nebraska**
**Joe Bouton, Ali Missaoui-University of Georgia**
**DOE/ OFD/ BFDP**
# Presentation: 191811

## LandForm VisualFlightTM Rapid Imaging Software, Albuquerque, NM

- Innovation
-    **LandForm VisualFlightTM** is the power of a geographic information
-      system (GIS)  and the speed of a flight simulator, accessible from any
-      Windows application.

- Accomplishments
-    The Advanced Flight Visualization Toolkit (VisualFlightTM) project is
-    developing a suite of virtual reality immersive _telepresence_ software
-     tools which combine the real-time flight simulation abilities with the
-    data density of a Geographic Information System (GIS). This
-     technology is  used for virtual reality training of crews, analysis of
-    flight test data, and  as an on-board immersive situation display. It will
-    also find application as a virtual cockpit, and in _teleoperation_ of
-     remotely piloted vehicles.
-    AFVT will enhance the ability of analysts and operators to interact
-      with large amounts of multidimensional data using the most natural
-      paradigm available: 3D immersion. This operator/data interaction
-      technology will  be an advancement comparable to the invention of the
-      Heads-Up Display (HUD). AFVT will move the HUD into the third
-      dimension.
-    A simplified user interface, it will fuse real-time 3D displays of terrain
-      with digital maps, satellite data, vehicles, flight paths, and waypoints.
-      This unique and innovative approach will build upon recent software
-       technology research and development from Rapid Imaging Software.
-      VisualFlightTM permits users to construct and deploy their own
-       immersive multidimensional display applications on Windows-based
-       computer platforms.

- Commercialization
- VisualFlightTM is sold as a development kit starting with 5 run-time licenses.  Users who wish to distribute more applications using LandForm VisualFlightTM technology can purchase additional run-time licenses as needed.
- VisualFlightTM 1.0 has been available to qualified users for several months now, and the response is excellent.  VisualFlightTM has been deployed to display live real-time flight data broadcast over a network.  Please visit this page for the latest **VisualFlightTM** developments.
**LandForm V/O Video Overlay** plug-in for LandForm C3 or Flight Vision is available for the Matrox Corona board only.  The price is $4995 for a # single users license.  Site license is available for $6995.

- Government/Science Applications
-    The firm’s VisualFlightTM System was used to fly the  X- 38
-      on it’s latest test flight. The flight vehicle was  piloted  by
-      astronaut (Ken Ham) using LandForm VisualFlight  system as
-      his digital cockpit  window.

- Points of Contact:
- NASA Jane I Fox- 281-481-1803 Company: info@landform.com
- 1998 SBIR Phase II; NASNAS9-99145

- Johnson Space Center
- Date of Update 12-17-2001
- Success Story 9-58
# Presentation: 398092

## NOAA Safety and Environmental Compliance Office

- Dan McGoldrick
- 301-713-2870

- Andy Poppen
- 816-426-7814

- Mark George
- 303-497-3064

- Minh Trinh
- 206-526-6647

- Team Lead, Env. & Energy Division
- Will Freeman
- 301-713-2870

- Chief, Safety & Occ. Health Division
-  Tom Altvater
- 301-713-2870

- Director
- CDR James Verlaque
- 301-713-2870

- Ben Bond
- 301-713-2870

- Joe Duran
- 206-526-6675

- Rhonda Carpenter
- 303-497-3912

- Ron Mattox
- 816-426-7810

- Craig Gillis
- 301-713-2870

- GIS Coordinator
- Tom Simon  **(C)**
- 206-526-2901

- Jim Malchow
- 206-526-4912

- Budget
- Jon Randle
- 301-713-2870

- Secretary
- Gail Gebert
- 301-713-2870

- Secretary
- Bonita Tyler **(C)**
- 301-713-2870

- Management Analyst
-  Janet Williams
- 301-713-2870

- Safety & Occ. Health Specialists

- Environmental & Energy Engineers

- Sr. Tech. Advisor, Env. & Energy Division
- Bernie Denno
- 301-713-2870

- Sr. Tech. Advisor, Safety & Occ. Health Division
- Bruce Zaczynski
- 301-713-2870

**Field**** **

**Headquarters**

- Effective February 2008

- NOAA ECS Orgz Chart [w Names].rv3
# Presentation: 414360

## Where are we in protein structure prediction today?

- A report from CASP6
- On ‘New Fold’ predictions

## New Fold Target Prediction Assessment

**<date/time>**

- James Vincent
- Chin-Hsien (Emily) Tai
- B. K. Sathyanarayana
- BK Lee
- NIH/NCI/CCR/LMB

## Slide 3

## NF Prediction Assessment

**<date/time>**

- Visual inspection:
- Only to identify the best model(s).
- Difficult to rank, especially when models are not close to the target structure.
- Analysis of numerical scores:

## Numerical score

**<date/time>**

- Models were superimposed to the target using LGA.
- GDT_TS scores were computed:
- Average of the number of corresponding residue pairs that are within 1, 2, 4, and 8 A of each other after superposition, divided by the number of residues in the protein, times 100.
- GDT_TS scores for all models were supplied by the CASP organizer/support group.

## Difficulty of Targets

**<date/time>**

## NF targets are still difficult.

- No model for NFh targets had correct overall structure

## TM0727 from Thermotoga maritima (T0216)

**<date/time>**

- TM0727** **from** **Thermotoga maritima (T0216)

**MTFEEFKDRLFALAKKNGVEVQISFLETREFSLRLANGDLDQYTDAGKFNVEIKVLKDGK TGTFRTQVLENPEKCFEEALSNLQVKDSEEKEYFFEGGKEYREMETYVGRFEKLSVKEKM DMAKKAHESAAKDERVVMVPTVMYKDMVIKKIITNTLGLDVESQMDGGFLFAMAIARDAN PRSGSWYELARTPEDLNPEEIGKRAAEEAISLIGSKTIPSGKYPVLMRNTALLDLMEMFI PMISAENVQKNLSPLKGKLGEQVGNPAVSIKDLPYHPKGLSSTPFDDEGVPTTEKFVLEN GVLKTFLHNLKTARKEGVEPTGNGFVGGIRPVNLMLMPGEKSFEELLKEMDRGVVITEVE GMHAGANSISGEFSLFAKGYWVENGEIAHGVEDITISGNFLDLLRKIVLVGNDVKVSQHT IAPSVLVEVLDVAGK**

## T0216

## T0216TS021_1

## T0216D1

## Slide 12

## Slide 13

## T0241

**Notes:**
Second most difficult - no good model for either domain.

## Slide 15

## Slide 16

## Slide 17

## Slide 18

## The distinction between NF and FR techniques is blurring.

- Baker’s *De novo* technique is more successful for FR/A than for NF targets.
- Kolinski&Bujinicki use an NF/FR hybrid technique

## Slide 20

## T0201

- TS021_1

**Notes:**
T0201TS021_4	61.17
Nearly perfect, but strands are swapped.

## Copying is an effective means of predicting structure, but...

## T0209D2

- 21_3,   101_1,   450_2,   501_1

**Notes:**
T0209TS501_1     59.21
T0209TS450_2     59.21
	T0209TS021_3     59.21
	T0209TS101_1     59.21

## Difficulty of Targets

**<date/time>**

## T0209D1

- TS185_2

- TS021_3

- TS101_1

- TS450_2

- TS501_1

## Slide 27

## Slide 28

## Who scored well?

## Slide 30

## Average Score Calculations

**<date/time>**

- Two models from each group for each target:
- Model #1 or
- The best scoring model (Max Model)
- Two kinds of scores for (row) averaging
- Raw GDT_TS or
- Z-score (set to zero when negative)

## Slide 32

## Slide 33

## Slide 34

## Slide 35

## Slide 36

## The more successful predictors learned to copy well.

## Difficulty of Targets

**<date/time>**

## Top Five and Averagefor Each Target

**<date/time>**

- Top Five and Averagefor Each Target

## Slide 40