BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 874117

## Regional Association for the (insular) Pacific  PacIOOS

- PacIOOS is the governing RA (yet to be fully established)
- Hawaii OOS (HiOOS) is the sub-region including the Hawaiian Islands
- The Hawaii-Pacific Ocean Observing Information System (HI-POOIS) is the funded pilot project to initiate HiOOS

## HIOOS Development

- Proposal developed around ~10 component groups that will contribute to 4 catalyst projects

## Component Groups:
Kilo Nalu
HF Radios
Nearshore sensors
Ocean Gliders
Waves and water level
Coastal resiliency
Water quality
Remus
Acoustic monitoring
Fish
Cetaceans
Modeling
Atmospheric
Ocean circulation
Ocean waves
Data Management
Education and outreach

- Kilo Nalu
- HF Radios
- Nearshore sensors
- Ocean Gliders
- Waves and water level
- Coastal resiliency
- Water quality
- Remus
- Acoustic monitoring
- Fish
- Cetaceans
- Modeling
- Atmospheric
- Ocean circulation
- Ocean waves
- Data Management
- Education and outreach

- In terms of data streams:
*In-situ* measurements
- Surface Radios
- Coastal mapping
- Ocean modeling
- Ecosystem monitoring

- PLUS:  All other data sources (*e.g*., satellite, historical *in-situ*, *etc*.)

## Data management has two components:
Data archive/distribution system
Product development (either making products or providing the easy integration of components to allow product development to proceed)

- Data archive/distribution system
- Product development (either making products or providing the easy integration of components to allow product development to proceed)

## Summary of System Structure

- Role of “PI”:  design, implement and maintain observing system array
- Role of “Education/Outreach” and “Coordination”:  identify users and user needs
- Role of Data Management: provide infrastructure and delivery of data and data products

## Basic requirements: On-line Browse and Direct Access

- Live Access Server (gridded)
- DCHART (station)
- OpenGIS Consortium (OGC) services (WMS)
- OPeNDAP for data transport (DAPPER)

## Issues for DM plan

- Main customer and data provider/integration will be models
- Secondary user (at least initially) will be research scientists
- Tertiary users will be government at all levels (C&C, DoH, CG, etc.); list is still evolving

## Challenges

- Drastically different data streams; what to include  servers could depend on data types (biological data, video, etc.)
- Starting close to zero
- Customers, delivery mechanisms largely unknown
- Many data sources
- Creativity in producing data products
- Provide model-data interface
- Operational 24/7?
- Liability issues

## Plan

- Identify customers
- Identify delivery mechanisms
- Design system
- Leverage/link to other systems:
- Coastal atlas?
- Hazards?  IDEA and others
- Climate  IPRC
- GCOS, PI-GOOS, HYCOS
- Follow proposal: provide mechanism for producing coherent, integrated products from data that are available now

## Slide 11

## Slide 12

## Slide 13

## Slide 15

## Slide 16
# Presentation: 294006

## Poster Title 66 pt

- 2005, Michigan Technological University

**Poster Title 66 pt**

**Section Titles in 66 pt Bold Arial**

- Straight Text that is meant to be read from across the Booth should be in 44 pt

- Other stuff that people would read while standing right next to the poster could be smaller. This should only be for details or footnotes. This is 18 pt.

- This layout has the Institutional Logos along the bottom of the poster.   This way there will be lots of room in the case of joint posters and url’s and such.

- If we go with this banner on the poster than everyone will replace the language logo with the appropriate choice.  The PGAS logo will replace the text above.  This means that there will only be three different banners on the posters.

**White Arial Font Might be Quite Long**
# Presentation: 029719

## The HST image shows a wealth of detail but what is it?

## Other edge-on spirals don’t look like M82.

## M83 is a scaled down face-on M82.

- M83 - H

## Similar to M82, there is a lot of star formation in the nucleus of M83 but we can’t see what is going on above the disk.

- M83 - H

## The star forming nucleus is blowing out a cone of very hot gas.

- Starburst Nucleus

- Superwind

- Very hot
-  gas

- Very hot gas

- Warm gas and dust

- Warm gas and dust

- Warm gas and dust

- Warm gas and dust

**The star forming nucleus is blowing out a cone of very hot gas.**

- Hot gas(H) on edge
- of bubble

- Stellar disk

## The Chandra image of M82

- Red, green, blue = low, medium, high energy X-rays - total energy band ~0.3 -7 keV

- Red - 10M degree hot gas - a few 10M of solar masses
- Winds from massive stars heated by SN in highly star forming nuclear region
- Out-flowing at millions of miles/hour
- Dispersing the elements of life (Fe, Mg, O etc.) in the universe

_**Spitzer IR image**_
** ****Multi-color IRAC image showing old stars (blue) and warm dust (red).**
** ****Red streamers show giant dust halo above and below the disk.  The dust “cones” extend at least 6000 pc (18000 lt-yr) from the nucleus on each side.**
** ****Dust particles are small (10Å) Polycyclic Aromatic Hydrocarbons (PAHs) with a few hundred Carbon atoms each.  They are found on Earth in barbecues, tailpipes, and anywhere combustion has occurred.**

**M82 : An Optical- Mid-infrared Comparison**

## HST/Chandra/Spitzer Image shows the structure of the dust and gas in M82.
# Presentation: 391198

## Financial Conflict of Interest:An Ongoing Saga

##   “Surprise like misfortune, never comes alone”
Oliver Twist    
Charles Dickens

- _Oliver Twist    _
- Charles Dickens

## What is Happening?

- In February 2005 Handbook 1200.13 was rescinded
- After reconsideration: FCOI disclosure form may need OMB approval
- Collection of data from 10 or more persons even if a form is not used, requires OMB approval.   *Note: There are some exclusions concerning research.*
- Request for approval of FCOI disclosure sent to OMB including cost & hour burden required by PRA

## OMB Suggestions

- Strongly suggested VA proceed through notice and comment rulemaking
- Publish in Federal Register
- 30-60 day comment period
- Review comments & incorporate applicable suggestions
- Publish final rule
- Reasons for OMB suggestion
- Policy may have an impact on private sector entities
- Collecting information on non-VA employees (spouses, children)

## Another Player

-    VA OGC indicated that the Office of Government Ethics (OGE) may have to approve collection of data.

## Office of Government Ethics

- Concerned that VA policy constitutes a supplemental or alternative financial disclosure system & therefore, OGE must formally approved this system.
- General Counsel is preparing the request and should be submitted to OGE in the near future.

## What now?

- Await OGE and OMB decisions
- Remind all investigators and research staff that other Federal statues and regulations still apply
- Standards of Ethical Conduct for Executive Branch Employees
- Criminal ethics statues: failure to comply may result in civil fines and/or imprisonment
- Identify web-based training programs
- Memo from CRADO issued Sept. 23, 2005

##    "There are many ways of going forward, but only one way of standing still." 
Franklin D. Roosevelt

- Franklin D. Roosevelt

## Moving Forward

- Waiting to hear from OMB and OGE
- Decide if we need to tweak the policy itself before re-issue
- Asking for feedback from field

## Why we are here!
# Presentation: 756934

## Impact of the Antenna Model Change on IGS Products 

- Neil D. Weston and Stephen A. Hilla
- Geosciences Research Division
- National Geodetic Survey, NOAA
- Silver Spring, MD

- IGS AC Workshop, Miami, USA 2008

## Background

- IGb00 scale was fixed to determine satellite antenna PCOs/PCVs
- Improved consistency between IGS and VLBI/SLR scales
- Reduced spurious scale drift in IGS coordinates
- Improved internal consistency of IGS products
- Model change implemented at week 1400

## Terrestrial Frame Comparison 7-parameter transformation

- Compare weekly averages for frame Helmert parameters from each AC
- Before and after antenna model change
- Use weekly SINEX Tables 5-3-1 (Ferland)
- Weeks 1350 to 1476

## Slide 4

## Slide 5

## Slide 6

## Slide 7

## Slide 8

## Slide 9

## Slide 10

## Slide 11

## Slide 12

## Slide 13

## Slide 14

## Phase Center Variation Test

- 	Estimating the orbits in order to be consistent with each model, the impact of the switch from relative phase center variations (RPCV) to absolute phase center variations (APCV) on the reference frame is a:
- Scale change of 1.8 ppb (± 0.1) or 11.5 mm at the Equator, corroborating (Ferland 2006)
- Station specific vertical changes (local effects) up to 1.5 cm (black points are significant differences)

- Courtesy – Álvaro Santamaria, Marie-Noëlle Bouin & Guy Wöppelmann

## Courtesy – Álvaro Santamaria, Marie-Noëlle Bouin & Guy Wöppelmann

- Courtesy – Álvaro Santamaria, Marie-Noëlle Bouin & Guy Wöppelmann

## Courtesy – Manuel Hernandez-Pajares, Miguel Juan-Zornoza & Jaume Sanz

- 0.1 GECU ≈ 1.7 TECU

- Courtesy – Manuel Hernandez-Pajares, Miguel Juan-Zornoza & Jaume Sanz

## Courtesy – Gerd Gendt

- Courtesy – Gerd Gendt

## Conclusions

- At week 1400, an antenna model change (relative to absolute PCOs/PCVs) and a frame change (IGb00 to IGS05) took place
- TRF scale change of approximately 3.0 ppb for IGS; scale agreement among ACs improved by at least x 2
- No significant change in the evolution of the Global Electron Content except for possible reduction in scatter
- No significant change to the pole (daily and weekly means)
- No significant change to the LOD (daily and weekly means)
# Presentation: 663699

## Galaxy Cluster Heating by Jet Power Greg Taylor (UNM), Steve Allen (KIPAC), Andy Fabian (IoA), Jeremy Sanders (IoA), Robert Dunn (IoA), Chris Reynolds (Maryland), Gianfranco Gentile (UNM), Cristina Rodriguez (UNM)

- Supermassive Black Holes, Santa Fe, July 12, 2006

## Cluster AGN Luminosity Problem

- 1. Given the available fuel the AGN at the center of a cooling core cluster should be bright
-  Observations show that it is underluminous by 4 orders of magnitude
- 2. Absence of cooling flows suggests re-heating
-  Could excess energy from AGN go into heating?
-  Heater (1 pc), cluster (10^6 pc)

## Fabian et al. 2003, 2005

- Chandra + VLA

- Chandra - unsharp mask

## 3C 84 at 1.4 GHz

- Taylor & Vermeulen 1996

## 3C84 in Perseus

- Detection of Linear Polarization
- Taylor et al. 2006

## 3C84 in Perseus

## 3C84 in Perseus

- Summary:
- • AGN Feeding is episodic
- • Jet components are launched into the intracluster medium (ICM)
- • Bubbles drive sound waves
- • Bubbles can sweep up ICM

## PKS 1246-410 in Centaurus

## The nucleus of PKS 1246-410

- VLA + Chandra

## The nucleus of PKS1246-410

- VLA + HST

- VLBA at 5 GHz

## Temperature 

- Temperature
- profile
- Density
- profile

## Bondi Accretion

- Rb = RBH (c/cs)2

- cs = sound speed ~ 104T1/2 cm/s
- RBH = Schwarzschild
-          radius ~ 2GM/c2

- M = 4πRb2cs

- .

-  is the density

- = 0.013 Msun/yr  for PKS 1246-410

- Lb = 0.1 M c2
-      = 8 x 1043 erg/s  >> LX-rays = 4 x 1039 erg/s

- .

## Slide 13

## Density

- profiles

## Temperature

- profiles

## Allen et al 

- 2006

## Implications

- Bondi formalism provides a reasonable description despite the presence of magnetic fields and angular momentum
- Accretion flows must be stable over the bubble inflation times of a 1-100 million years
- Efficiencies required are ~10%
- Feedback from the central black holes may be important for shaping the bright end of the galaxy luminosity function (limiting accretion)

## Outer lobes of A2199

- Gentile et al. in prep

- Sanders & Fabian 2006

## SUMMARY

- Radio Galaxies are viable heaters for clusters_x0002_
- Future work
- Obtain more Chandra observations of nearby clusters (and Es) to test the relation between jet power and accretion efficiency
- Use the Long Wavelength Array (LWA) to look for radio emission in “ghost” bubbles
- Use the LWA to identify 1000s of clusters
# Presentation: 537199

## Standards and Practices of MonitoringorMonitoring Standards of Practice

- Discussion of Potential Work Products
- At NWQMC Meeting
- 7/18/06

## Suggested Manual of Standard Practice

- National ( insert constituent) Monitoring Methods
- Outline:
- About this series
- Significance of (Nutrients) in Water
- ( insert constituents in the class) Covered ( and why)
- Recommended Data Arrays ( for a spectrum of monitoring needs)
- Ancillary data needs
- Field methods
- Probes
- Kits
- Laboratory methods
- Quality Assurance Concerns
- Appendices:
- Model contract
- Reference numbers
- CAS numbers
- Parameter codes
- References
- NEMI
- Technical background

## Suggest that Manuals of Standard Practice would be prepared for constituents in NMN:

- Physical Measures
- Flow magnitude and direction
- Flood frequency analysis
- physical habitat
- Sediment loads--suspended
- Water-quality characteristics
- Inorganic constituents
- Major ions,
- Nutrients,
- Metals
- Metalloids
- Organic Chemicals
- Bulk organics
- volatile organic compounds
- pesticides
- halogenated hydrocarbons,
- polycyclic aromatic hydrocarbons
- Emerging concerns (Pharmaceuticals and wastewater chemicals)
- Biological diversity
- Biological  toxicity

## How does this relate to the NWQMC monitoring wheel?

## Need to connect standards of practrice for....

- Watersheds above the head of tide
- Estuaries
- Coastal areas
- Atmosphere
- Wetlands
- Ground water

## Webpage links showing Comparability of Field and Analytical Methods for the Network of Networks in NMN

|  | USEPA | USGS | NOAA | Other |
| --- | --- | --- | --- | --- |
| Field methods |  |  |  |  |
| Sediments |  |  |  |  |
| Inorganics |  |  |  |  |
| Nutrients |  |  |  |  |
| Metals |  |  |  |  |
| VOCs |  |  |  |  |
| Pesticides |  |  |  |  |

## Summary

- Probably something that is needed
- Rather large and daunting task
- Need to scope out in more detail before we go forward
- Who would do this--MDCB or private contractor
- Need feedback
# Presentation: 493384

## Same code. Different Histograms

- #include <simpleRandom.h>
- #include <HistogramFactory.h>
- HistogramFactory * getHF();
- int usercode()
- {
-   simpleRandom *R = new simpleRandom(987678);
-   HistogramFactory *hf = getHF();
-   Histo1d *hpx = hf->create1dHistogram(100,
-    "This is the px distribution"
-      ,100,-4,4);
-   for ( int i=0; i<10000; i++)
-     {
-      hpx->fill(R->gauss(0., 10.));
-     }
-   hf->save("file");
-   return 0;
- }

- #include <HbookHistogramFactory.h>
- HbookHistogramFactory hbf(0);
- HistogramFactory * getHF()
- {
-   return &hbf;
- }
- int usercode();
- int main()
- {
-   return usercode();
- }

- #include <RootHistogramFactory.h>
- RootHistogramFactory hbf();
- HistogramFactory * getHF()
- {
-   return &hbf;
- }
- int usercode();
- int main()
- {
-   return usercode();
- }

- #include <CorbaHistogramFactory.h>
- CorbaHistogramFactory hbf(“mlp.rhic”,5007);
- HistogramFactory * getHF()
- {
-   return &hbf;
- }
- int usercode();
- int main()
- {
-   return usercode();
- }

- This code examples are a bit older - interfaces are more modern, singletons, etc.

## Recent code snippet

- #include <Event.h>
- #include <PhHistogramFactory.hh>
- #include <TH1.h>
- #include <time.h>
- #include <pmonitor.h>
- PhHistogramFactory *hf;
- int init_done = 0;
- PhH1 *h;  // the one histogram

**int pinit()**
- {
-   if (init_done) return 1;
-   init_done = 1;
-   hf = PhHistogramFactory::instance();
-   if (hf)
-     {
-       **h = hf->CreateH1F("H1", "Channel 0", 101,-49.5,49.5);**
-       return 0;
-     }
-   else return -1;
- }
**int process_event (Event * e)**
- {
-   //  static int i = 0;
-   Packet *p = e->getPacket(1003);
-   if (p)
-     {
-       **h->Fill (p->iValue(0));**
-       delete p;
-     }
-   nsleep(100); // 100 milliseconds
-   return 0;
- }

## Single process now -- distributed tomorrow

**Single process now -- distributed tomorrow**

- Corba

- Processes on reconstruction farm

- Histogram Server Process

## Different types of histograms, no changes to the user code

- from Experiment

**Online Monitoring**
**Process**

- from Experiment

**Online Monitoring**
**Process**

**Online Monitoring**
**Process**

**Online Monitoring**
**Process**

- Use local histograms

**Histo**
**corba server**
# Presentation: 341158

**Biorefining, Inc.**

**	**

**“****Renewable Resources for Life...”**

- Biorefining commercializes proprietary processing technologies which increases the value and expands the uses of renewable resources

**Biorefining, Inc.**

## Bio-Extraction Process
Biomilling Process
Composting Process
Biodiesel Process
Gasification
Anaerobic Process
Bio-Conversion Process

- _Bio-Extraction Process_
- _Biomilling Process_
- _Composting Process_
- Biodiesel Process
- Gasification
- Anaerobic Process
- Bio-Conversion Process

## Bio-Extraction Process

**Bio-Extraction Process: Innovative Bio-Technologies, LLC**

**Phase I**

**CMC**

## Biomilling® Process

**Biorefining, Inc.****	**
**“****A Complete Biorefinery”**

**High**
**Protein**
**DDGS**

- Raw Material CORN

- Biomilling

**Starch**

**Ethanol**

**CO****2**

**Corn Oil**

**Corn **
**Germ**
**Meal**

**Corn Bran**

## Current Ethanol Production

**Dry Grind**

**Corn**

**Fermentation**

**Ethanol**

**Current Ethanol Production**

**CO****2**

**DDGS**

**Feedstock = Starch, Oil, Protein, & Fiber**

**           ****35%**
**Unfermentables**

## BIOMILLING® PROCESS

**Biomilling**

**Corn**

**Fermentation    **

**Starch**

_**Co-Products  **_**Bran, Oil, &  Germ Meal, **

**BIOMILLING®**** PROCESS**

**Ethanol**

**CO****2**

**High**
** ****Protein**
** ****Distillers**
** ****Grain**

**15% **
**Unfermentables**

## Slide 10

** ****Biomilling****®****  Process**

**Corn Bran**

**“****The quality of this fiber fraction is some of the best I have ever seen”     **
**	****      ...****Richard Fulmer, Retired Manager of Research & Development / Cargill, Inc.**

## Composting Process

**Composting Advantages**

**3 Days vs. 3 Weeks**
**Kills All Pathogens (Avian Flu)****	**
**Any Mix of Materials**
**Reduces Solid Waste Weight (up to 50%)**
**Potential Marketable End Product**

**Complementary Processes**

**Biodiesel**
**Gasification**
**Anaerobic Digestion**
**Bio-Conversion**

**Biorefining, Inc.****	**
**“****A Complete Biorefinery”**

- Raw Material CORN

- Corn Oil

- Fiber Feed

- Biodiesel

- Compost

- Organic Soil
- Amendment

- Glycerol

- Anaerobic
- Digester

- Methane to..
- Electricity / Natural Gas

- Gasification

**Biorefining, Inc.****	**
**“****A Complete Biorefinery”**

- High
- Protein
- DDGS

- Raw Material CORN

- Biomilling

- Starch

- Ethanol

- CO2

- Corn Oil

- Corn Germ
- Meal

- Corn Bran

- Bio-
- Extraction

- Bio-
- Extraction

- Bio-
- Extraction

- Bio-
- Extraction

- Bran Oil

- Bran Fiber

- Corn Protein
- Isolates

- Germ Feed

- Free Fatty
- Acids

- Glycerin

- Zein Protein

- Fiber Feed

- Yeast Cream

- Bio-
- Extraction

- Biodiesel

- Compost

- Corn Gum

- L-Arabinose

- Xylose

- Galactose

- Mannose

- Organic Soil
- Amendment

- Glycerol

- Bio-
- Conversion

- Bio-
- Conversion

- L-Ribose

- D-Lyxose

- Anaerobic
- Digester

- Methane to..
- Electricity / Natural Gas

- Gasification

**Biorefining, Inc.**

**	**

**Just the beginning...**
# Presentation: 506254

## Topics

- What makes higher ed different?
- How does those differences effect middleware
- Real world issues
- Parables
- Campus QoS issues
- Shekels and resurce allocation

## The Geography of Higher Education

- Most of our clients are nomadic, using several different computers a day.
- Most of our computers are shared, each serving large numbers of students a day.
- An increasing number of our computers are portable, requiring simple, secure network connectivity to local and remote resources no matter where they are.

## The Sociology of Higher Education

- Researchers have more loyalty (and computational interaction) to distant colleagues than other local departments
- Our customers want to experiment; we can provide new services and assess social and cultural impact
- Almost complete turnover of customer base  every four years
- Privately-owned plus Institution-owned machines. Personal are almost never controlled centrally. Institution systems are central, department, or user administered

## The Political Science of Higher Education

- Strong commitment to diversity in populations and opinion
- Freedom to choose leads to diversity
- Programmatic reasons to maintain commons - labs, libraries
- University ‘standards’ more attraction than mandate
- Our business is creation of new knowledge, often leads to pre-standards platforms
- Many of us are Public Institutions

## How does this affect middleware in higher ed?

- Implementation rather than standards
- Complexity of management
- Urgency

## Real world issues

- Lugubrious processes
- What to do with proto-middleware
- Data feeds and interfaces dominate the cost/complexity
- Without metadata, data is inconsistent
- Users need simplicity
- Of all the bandwidth limitations, management bandwidth is most scarce

## Parables

- Look for the little changes that affect lots of people - it’s the multiplier, stupid
- The higher up the protocol stack, the more that the real (social) world intervenes
- Middlemen are the American way

## Campus QoS Issues

- Programmatic rather than marketplace economies
- Likely can overprovision from the desktop to the egress gateway
- Will there really be a scarce resource?
- Diffserv creates a scarce resource
- Easiest to solve statically by jack
- Incoming traffic?  Multicast?

## Shekel servers

- Predates and is similar to BB. But more hierarchical
- Resource allocation mechanisms that can’tbe cashed out
- Allows pooling of allocations from multiple sources
# Presentation: 755997

## Mission Possible

- Selling Successfully in China

## Kim Kirkendall – 1986 moved to China
Training & Consultation
The China Resource Network  
	Conferences
	Meetings
	Online Forum     
www.chinaresourcenetwork.com               

**Training & Consultation**
**The China Resource Network**
**	****Conferences**
**	****Meetings**
**	****Online Forum**
- www.chinaresourcenetwork.com

## What drives business in China?

- Producer or Customer
- Market Share or Profitability
- Qualifications or Character

## Is American an Advantage?

- Perception
- Government / Tax support
- Follow Through

## CONTRACT

**CONTRACT**

**COMMITMENT**

**COMMITMENT**

**CONTROL**

## Partnership – for what purpose?

- Profit
- Existing Customer Support
- Develop New Customers

## Negotiating a Contract

- Chess versus Checkers
- Define what winning means
- When is the contract finalized?
- Establish Expectations - diversify

## Performance on the Contract

- How do you measure performance
- Resolving disputes
- Getting your $$$ out
- Where do we go from here

## Establishing a Partnership

- What are their motivations?
- How do you build a team?
- Who is responsible for what areas?
- Perform, perform, perform

## Managing a Partnership

- The guy in the game wins
- When tension exists
- The commitment & the threat
- What is your Exit strategy?

## Success Means:

- Play to win:                               the right attitude, goal & game

## Contact Information

- Kim Kirkendall, President
- Office Outsource, Inc.
- Training and Consultation in China
- 	Office Tel:  330-659-0835
- 	Email: virtualoutsource@hotmail.com
**China Resource Network**
- 	_[www.chinaresourcenetwork.com](http://www.chinaresourcenetwork.com/)_
# Presentation: 898463

## No Child Left Behind Act of 2001   

***No Child Left Behind Act of 2001*****   **
**Improving Our System of**
**Public Education**

## The Federal Government’s Role in Public Education

- Although public education is a state and local responsibility, **it is a national interest**.
- The Federal Government’s role –                 **to assure equity, and promote excellence.**
- Initial Federal Public School Activity –       The 1787 Ordinance
- Primary Federal Public School Initiative – The 1965 Elementary and Secondary Education Act (ESEA)

## Slide 3

## Slide 4

## Source: National Assessment of Educational Progress 2003

***Source: National Assessment of Educational Progress 2003***

## Source: National Assessment of Educational Progress 2003

***Source: National Assessment of Educational Progress 2003***

## Source: National Assessment of Educational Progress 2000

***Source: National Assessment of Educational Progress 2000***

## Source: National Assessment of Educational Progress 2000

***Source: National Assessment of Educational Progress 2000***

## Slide 9

## Slide 10

## Slide 11

## Slide 12

## Slide 13
# Presentation: 745969

## RAPTOR(RAPid Telescopes for Optical Response)Robotic Astronomy, GRBs and Cosmology

## Prompt Optical Emission from a “Dark” Gamma Ray Burst

## GRB Optical Light curves(Fox et al., Ap. J., 586,L5 (2003))

## GRB Precursors, Short Duration GRBs, and the First Few Seconds

- Are there optical precursor flashes to GRBs?
- Do short duration GRBs generate prompt optical emission?
- What happens in the first few seconds of a long duration GRB?
- These important questions cannot be answered by any rapidly slewing telescope.

## Solution:Wide-Field Stereoscopic Monitoring

- RAPTOR continuously monitors essentially all of the field-of-view (FOV)of the Swift burst alert telescope. (>1000 times the FOV of typical wide field telescope.)
- RAPTOR is the only system in the world with any real capability to find GRB precursors, prompt emission from short Duration GRBs and observe the first few seconds of long GRBs.

## RAPTOR-Technicolor

- Four co-aligned 0.4-m telescopes
- Sensitivity ~19 th magnitude in 60 seconds
- Anywhere in sky in less than 10 seconds
- Four simultaneous colors V,R, I, unfiltered
- Operational September 2004

## GRBs as Cosmological Beacons  

- Most important GRBs are at redshifts larger than z=5 when the Universe was <10% of its current age.
- Can act as beacons to map diffuse material that never condensed into stars (4% of the Universe is in baryons—1/10 of that is in visible stars and dust) This diffuse matter is in filaments that can be seen in absorption, if the GRB can be recognized when they are bright.
- RAPTOR-T can find them using a very simple technique---look for the cutoff at 912 Angstroms due to absorption by neutral hydrogen.
- This cutoff is redshifted to wavelengths longer than 5000 Angstroms for z=5 or more (out of Swift band-pass). So look for optical counterparts only visible in the red.
*Prompt multicolor observations  are the best way to find the distant GRBs and enable high-resolution spectroscopic observations while they are still bright.*

## VLT Spectrum of GRB 000131Time > 4 days,  Lyman break  z=4.5 (Anderson et al., Astron. Astrophys. 364, L54 (2000))
# Presentation: 282629

## Session Leads:
Karine Shamlian
Doug Seiter

**Karine Shamlian**
**Doug Seiter**

- Green Building, Energy Star
- and Other Voluntary Programs

## Question:  What are the issues surrounding the relationship between energy codes and “above code” programs?

- Energy Star
- LEED and regional/local green building programs
- HERS
- SPIRIT

## Voluntary programs are useful because they:

- Advance and provide a vehicle for the energy components of the building industry:
- Suppliers
- Knowledge base
- Building science
- Market transformation
- Accelerate the adoption of higher efficiency (value) products and techniques
- Provide consumer education resources
- Increase awareness
- “Softens the market” for advanced code adoption
- Create a culture of commissioning
- Provide viable code compliance options
- Offer a simple message/logo/rating for non-technical consumers

## Challenges of Voluntary programs

- Relevancy to codes as benchmarks (which code?)
- Variations of standards among jurisdictions
- Complexity and inconsistency in modeling; lack of training
- Market confusion from multiple programs and associated code relationships
- Code officials’ acceptance of VPs for compliance
- Conflicts in codes (real or perceived) with green building/building science techniques
- Who pays for the ratings?
- Simplicity vs. flexibility vs. credibility
- Tiered programs
- Prescriptive vs. performance approach
- Black Box (lack of transparency)

## Challenges of Voluntary programs (cont’d)

- Consistent benchmark
- States/locales with higher standards than ES or VPs
- HERS scores change with code changes
- Fuel variations
- Enforcement  and verification
- HERS leakage rates vary (as do other inputs)
- Builders may assume cost for VP ratings
- Roles of various entities
- Local/regional/state/federal government
- Private sector
- Utilities
- MARKET RECOGNITION OF VALUE

## Solutions

- Education, education, education
- Building officials: value of VPs for compliance; new approaches; eliminate poor practices (Building America research)
- Builders: value of VPs for higher performance and fewer callbacks
- Consumers: value for cost savings and comfort
- Building suppliers/subcontractors: misinformation (e.g. warrantees on products like roofing materials)
- Code changes through the CC process
- Funding for greater influence (through technical analysis) for the code process
- Better collaboration with building officials

## What does the future Voluntary program look like?

- Increased emphasis on Life Cycle Analysis
- Measured verification
- Funding
- Program sustainability
- Zero net energy goal
- Increased market awareness, demand and labeled products

## See ya!
# Presentation: 268018

## Moments Analysisupdate, before blessing (reflects changes to CDF6973)

- _Alessandro Cerri_, Hung-Chung Fang, Ramon Miquel, Marjorie Shapiro, Laurent Vacavant

## Systematic Errors

- During preblessing we were asked to see if we could improve our systematics
- We want to make sure that everybody is comfortable with it
- Systematics dominated by efficiency:
- MC statistics
- MC/Data corrections
- M** cut
- This implies changes also in the central values

## Efficiency vs m**

- Bulk measured from MC
- Low statistics at the edges (large m**) harmful
- Increase MC statistics

## MC/Data corrections

- Dominant source of systematics!
- * reproduces ** topology but too small statistics:
- Use more D* candidates (one week ago we were using only D0K)
- Cross check on non-triggering D0 daughters

## *

- *

## All non-trigger D* daughters

## Proposed change

- Use all D* daughters to estimate PV, BV DV alone, based on a linear fit
- Replace with flat line fit to estimate systematics

## m** cutoff

- Cut-off is a tool to trade off statisticssystematics
- None of this affects m1 substantially:  m2 (~m4) is more sensitive
- Extrapolation attempted (both functional and with MC histograms):
- Systematic error with cut-off ~ statistical error without cut-off
- Introduces model-dependency

- We decide to take out completely the cut-off
- Larger (~x1.5 for m2) statistical uncertainty than what shown last week
- Improved efficiency corrections make it more reasonable than what initially estimated
- Completely model-independent
- 0 systematics from cut-off
- Expect a significant shift on m2

## New Resultssystematics

- Old values

## New Resultsmoments

- New Resultsmoments

- OLD

- NEW

- m2 significantly affected, as expected
- Change is within statistical error:
- (1.30-0.85)=.45 ~ .48=(0.692-0.492)1⁄2

## , 1Histogram y ranges are different!!!

- OLD

- NEW
# Presentation: 672022

## May 18, 2006

***MTAC Workgroup #95 Update***
***FAST for Periodicals ***

## Agenda

**Joint Scheduling**
**Recurring Appointments**
**Mail.dat and Recurring Appointments**
**Additional Capabilities**
**Progress**
**Timeline**

## Joint Scheduling

- FAST will provide joint scheduling capability between Schedulers and Mail Owners / Preparers for all appointments.
- Advanced Notification = Transportation Logistics Information + Mail Content
- Transportation Logistics Information
- Can be managed by the Transportation Agent / Scheduler.
- Determines appointment date, time, facility, appointment type, etc.
- Mail Content Information
- Can be managed by the Mail Owner / Mail Preparer.
- Describes Publication: Volume, palletized vs. bedload, mail class, mail shape, Publication Titles (optional for visibility).

## Recurring Appointments

- Schedulers will be able to manage recurring appointments online for Periodicals.
- Is a Recurring Appointment the right model to schedule Periodical appointments for your company?
- Recurring Appointment Model
- Consistent Pallet Count with deviations within range
- Consistent frequency of Entry Date and Time
- One-Time Appointment Model (A)
- High Fluctuating Pallet Count
- Consistent frequency of Entry Date and Time
- One-Time Appointment Model (B)
- Variability around the date of entry

## Mail.dat and Recurring Appointments

- Customers will have the ability to leverage Mail.dat content for Recurring Appointments:
- Scheduler inputs logistics information online within FAST.
- FAST will provide a unique recurring sequence ID.
- Scheduler communicates the recurring sequence ID to the Mail Owners.
- Mail Owners input the recurring sequence ID and induction date into mail.dat.
- Mailer submits mail.dat to *PostalOne!*
*PostalOne!* communicates the content information to FAST.

## Additional Capabilities

- FAST will support appointment scheduling for additional planned publications as well as additional issues due to late breaking news.
- FAST will automatically move a recurring appointment request to a different facility when a new re-direction is created.
- Mailers will receive email notification that the drop location has changed.
- Mail Owners/Preparers will have visibility into appointments and reporting within FAST.

## Progress

- FAST continues to work with the Periodical mailers to identify scheduling scenarios to understand the best way to use FAST for Periodicals functionality.
- FAST continues to investigate possible solutions for using mail.dat for co-palletized mailings.
- FAST needs to finalize the details around mail.dat contents for a recurring appointment.

## Timeline

- USPS to submit TM Specification CRs to the IDEAlliance (Pending *PostalOne! *approval).
- USPS is working internally and with IDEAlliance to develop a schedule to deploy mail.dat and Web Services.
- USPS software development will begin end of May.
- Recurring appointment requests will be available in early October (on-line functionality).
- USPS is discussing a pilot to allow Periodical mailers ample time to get registered with *PostalOne!* and ramp up for appointments.
# Presentation: 213817

## Department of Chemistry, University of California DavisSusan M. Kauzlarich Investigation of Zintl Compounds for Thermoelectric and Magnetic Applications NSF DMR- 0600742

-  Ba8Al14Si31  was prepared by direct reaction of the elements, and shows a maximum zT is 0.34 at 1150 K.  This is the first evidence that light element containing clathrates may provide significant zT’s for high temperature thermoelectric applications such as power generation.1  These materials will have applications in the transportation industry.

- This plot shows zT as a function of temperature for Ba8Al14Si31, along with a view of the structure.

- 1Cathie L. Condron, Susan M. Kauzlarich, Franck Gascoin, and G. Jeffery Snyder, *Chem Mater* **2006**

**Notes:**
Light element containing materials have, in general, been ignored for thermoelectric applications because they fall outside of the criteria accepted for finding good thermoelectric materials. In particular, materials that contain light elements lack the required heavy elements which contribute to lowering the lattice thermal conductivity by scattering phonons. However, by choosing a system that has inherently low thermal conductivity and good electrical conductivity a light element thermoelectric phase may ultimately be achieved. Due to their “guest-host” framework structure, which the rattling guest deconstructive scatter heat carrying phonons while electrical conduction is maintained throughout the framework, type I clathrate phases provide an excellent opportunity to look for light element thermoelectric phases. 

## Department of Chemistry, University of California DavisSusan M. Kauzlarich Investigation of Zintl Compounds for Thermoelectric and Magnetic Applications NSF DMR- 0600742

- Alexandra Courtas, a Davis High School Student, is working with our group on the synthesis of new materials.

- Broader Impacts

**Notes:**
Outreach and relevancy:  Our research group engages high school students through the ACS project SEED and through internships in our lab.  This is the second summer that Alexandra Courtas has worked in our lab.  She learned about our research through a job shadowning day that she had with Professor Kauzlarich two years ago and has been working in our lab.
# Presentation: 202160

## Teaching Inquiry:Can You Walk the Walk?

**Emilie Drobnes**
**Goddard Space Flight Center**
**Wil van der Veen**
**New Jersey Astronomy Center for Education**

## How Students Learn

- Principle #1: Engage Prior Understandings
- Principle #2: The Essential Role of Factual Knowledge and Conceptual Frameworks in Understanding
- Principle #3: The Importance of Self-Monitoring
*From: How Students Learn (NRC, 2005)*

**Notes:**
Principle #1: Engage Prior Understandings
Students come to the classroom with preconceptions about how the
world works. If their initial understanding is not engaged, they may fail to
grasp the new concepts and information, or they may learn them for purposes
of a test but revert to their preconceptions outside the classroom.

Principle #2: The Essential Role of Factual Knowledge and Conceptual Frameworks in Understanding
To develop competence in an area of inquiry, students must (a) have
deep foundation of factual knowledge, (b) understand facts and ideas in
the context of a conceptual framework, and (c) organize knowledge in ways
that facilitate retrieval and application.

Principle #3: The Importance of Self-Monitoring
A “metacognitive” approach to instruction can help students learn to
take control of their own learning by defining learning goals and monitoring
their progress in achieving them.

## Principle #3The Importance of Self-Monitoring

- Read the following passage from a literary critic, and pay attention to the strategies you use to comprehend:
*If a serious literary critic were to write a favorable, full-length review of How Could I Tell Mother She Frightened My Boyfriends Away, Grace Plumbuster’s new story, his startled readers would assume that he had gone mad, or that Grace Plumbuster was his editor’s wife.*
- (SOURCE: Whimbey and Whimbey (1975, p. 42).

**Notes:**
Most good readers have to back up several times in order to grasp the meaning of
this passage. In contrast, poor readers tend to simply read it all the way through without pausing and asking if the passage makes sense. Needless to say, when asked to paraphrase the passage they fall short.

## Learning Cycles

**FERA**
_**F**_**ocus – **_**E**_**xplore – **_**R**_**eflect - **_**A**_**pply**
*From: Science for All Children (NSRC, 1996)*
**OPERA**
_**O**_**pen – **_**P**_**rior – **_**E**_**xperience – **_**R**_**eflect - **_**A**_**pply**
***From: ****What are the Similarities Between Scientific Research and Science Education Reform (Morrow, 2005****)***

**Notes:**
What are the Similarities between Scientific Research and Science Education Reform

## Sundials

**Students observe the patterns of day and night and**
**the movements of the shadows of objects on the**
**Earth during the course of a day.**** **
**How would you explore students’ ideas and preconceived notions?**
**How would you carry out the experiment?**
**How would you help students reflect on the experiment?**
**How would you help students apply their new understandings?**

## Contact Information

**Emilie Drobnes**
- emilie.drobnes@gsfc.nasa.gov
**Wil van der Veen**
- wvanderv@raritanval.edu
- http://sdoepo.gsfc.nasa.gov/presentations/
# Presentation: 112814

## Princeton University MRSEC Princeton Center for Complex MaterialsRegister R.A. DMR-0213706 IRG 3Indentation Size Effects in Sub-micron and Nano-Contacts

- Contact-induced deformation in micro-electro-mechanical systems (MEMS) and microelectronic systems often involves contacts between asperities with sizes between the submicron and nano-scale regimes. Between these regimes, the asperity sizes can be smaller than the spacings between the defects that carry deformation (dislocations). It is, therefore, difficult to use continuum approaches to model deformation at such fine scales. In this work, nanoindentation techniques were used to investigate contact-induced deformation in single crystal and polycrystalline nickel, gold and silver thin films that are relevant to MEMS and microelectronics. Discrete dislocations models were also used to study the evolution of dislocation substructures and hardness with increasing indent size. We find that the indentation size effect is bi-linear, when the normalized hardness squared (H/Ho)2is plotted against the inverse of the indentor penetration depth (1/h). The bi-linear behavior is attributed to a transition from dislocation source-limited behavior (at the nano-scale where the indent size is less than the dislocation spacing) to well established dislocation structures in the sub-micron regime (where the indent size extends over a number of dislocations in an established dislocation structure). The indentation size dependence of hardness is shown to emerge naturally from discrete dislocation simulations of the indentation experiments.

- Z. Zong, J. Lou, A. Widjaja, E. Van der Giesen, M. El-Mustafa, A. Needleman, D. Srolovitz and W. Soboyejo

- Schematic of Dislocations Under Sub-micron and Nano-indents        Bi-linear Indentation Size Behavior
# Presentation: 708696

## Productive Life Including All Lactations, Longer Lactations, and Calf Value

## Goals

**Allow credit for longer lactations in productive life (PL) ****                                     *****Tsuruta et al, 2005, JDS 88:1156***
**Update factors that predict PL for cows still alive (censored cows)**
**Improve the PL trait definition by considering lactation curves**

## Data Sets

**Variance estimation from AIPL data**
**1,098,329 Holsteins born 1994********97**
**5109 sires with relationship matrix**
**10 mo, 12 mo, or unlimited length**
**2-mo calf value also considered**
**Data censored at 36 to 84 mo of age**
**Herds with complete lactations from DRMS history file **

## PL Heritabilities and Correlations 

|  | Lactation limit (mo) |  |  |  |
| --- | --- | --- | --- | --- |
| h2  | 10 | 12 | None | +Calf |
| 10 mo | .073 | .998 | .957 | .963 |
| 12 mo |  | .069 | .956 | .961 |
| No limit |  |  | .067 | .992 |
| +Calf |  |  |  | .068 |

## Correlation of PL with Protein

| Correlation with protein | 10 mo | 12 mo | No
limit | No limit + calf credit |
| --- | --- | --- | --- | --- |
| Phenotypic | .16 | .17 | .20 | .19 |
| Genetic | .00 | .03 | .12 | .11 |

**	****Phenotypic****	****=****	****.33****	*****1993,***
**	****Genetic****	****=****	****.46****	*****JDS 76:2758***

## Early Measures of PL10-mo limit

| PL statistic | Censoring age |  |  |  |
| --- | --- | --- | --- | --- |
|  | 3 yr | 4 yr | 6 yr | Final |
| Heritability | .018 | 	.048 | 	.065 | 	.073 |
| Genetic correlation | .87 | 	.97 | 	.99 | 	1.00 |
| Phenotypic correlation w/1st-parity protein | .25 | 	.21 | 	.17 | 	.16 |
| Genetic correlation w/1st-parity protein | .21 | 	.09 | 	.02 | 	.00 |

## Distribution of Months Until Culling1st-parity cows

## Lactation Curveyield = 5.9 + 9.5e[.059(1  e.047*t)/.047  .0018*t]

## First- and Later-Parity Shapes

## Current PL Credits

**2**

**0**

**3**

**4**

**5**

**1**

**Years**

**20**

**140**

**40**

**60**

**80**

**100**

**120**

**0**

**Credit (%)**

**3**

**2**

**1**

## Possible PL Credits

**2**

**0**

**3**

**4**

**5**

**1**

**Years**

**20**

**140**

**40**

**60**

**80**

**100**

**120**

**0**

**Credit (%)**

**3**

**2**

**1**

## Proposed PL Credits

|  | Month of lactation |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Parity | 1 | 3 | 5 | 7 | 9 | 11 | 13 | 15 |
| 1 | .66 | .95 | .90 | .82 | .76 | .70 | .64 | .59 |
| 2 | .89 | 1.23 | 1.08 | .95 | .83 | .74 | .66 | .59 |
| 3+ | .95 | 1.31 | 1.15 | 1.00 | .89 | .78 | .70 | .63 |

## Conclusions

**PL parameters are changing across time**
**Phenotypic correlations are fairly stable**
**Genetic correlations have declined rapidly **
**PL at 36-mo censoring has less info **
**Heritability is lower than 1993 estimate**
**Genetic correlation with final PL = .87 ****(vs .92)**
**Can increase lactation length limit in PL to 12 mo or use lactation curve credits**
# Presentation: 160753

## Engineering Seminar

- “Superconducting Motors for Electric Aircraft Propulsion”
**Date:**	   Monday, July 11, 2005
**Time:**	   2:00 p.m.
**Location:**        54-130 Perseverance Hall Conference Room
**Description:**
- Development of power-dense superconducting motors for electric aircraft propulsion Cesar Luongo, Professor of Mechanical Engineering, Florida State University, and National High Magnetic Field Laboratory, Tallahassee, Florida
- Zero-emission aircraft and long-endurance Unmanned Air Vehicles (UAV) will be all-electric. Today's electric motors do not have high enough power density to be a feasible option for aircraft propulsion. High-Temperature superconductors (HTS), offer the possibility of designing motor topologies that could rival gas turbines in terms of power and torque density, allowing for the development of all-electric aircraft. This talk will summarize work being done under NASA funding to develop such high power density electric motors. Detailed design concepts will be discussed, as well as the early phases of an experimental program aimed at developing a proof-of-principle HTS motor capable of reaching an initial target of 6 HP/lb (similar to a gas turbine). The speaker, on the faculty of Mechanical Engineering at Florida State University, will also touch briefly on a number of other student research projects in a variety of topics within applied superconductivity and cryogenics.
**BIO-SKETCH:** Dr. Cesar Luongo joined the National High Magnetic Field Laboratory and the faculty of the Dept. of Mechanical Engineering, Florida State University, in 1999. His broad area of research is applied superconductivity, specifically superconducting magnets, and more recently HTS electric motors. His teaching activities are centered on training students on multi-disciplinary design through a project-based approach. Prior to joining the NHMFL and FSU Dr. Luongo worked in private industry for almost 14 years, most of that time at the Research & Development division of Bechtel in San Francisco, California. While at Bechtel his main area of activity was Superconducting Magnetic Energy Storage (SMES). Dr. Luongo holds a Ph.D. in Mechanical Engineering (Electrical Engineering minor) from Stanford University (1986), an M.S. in Mechanical Engineering from Stanford University (1981), and an Engineer degree in Industrial and Mechanical Engineering from the University of Uruguay (1979). Dr. Luongo is the author of over 50 publications and 2 patents in a variety of areas reflecting his interests over the span of his career: solar energy, MHD power generation and plasma flows, network flow simulation, applied optimization, superconducting magnet technology, and electric motors.