Landolt-Börnstein, the largest compilation of data in physics and chemistry, celebrated its 125th birthday on 29 September 2008. The reference work was published by the physicist Hans Landolt and the chemist Richard Börnstein in 1883; in the New Series, it now comprises more than 360 printed volumes and over 55,000 electronic documents for engineers and scientists.
Engineering
SpringerMaterials
Update on the New Engineering Library and the Jen-Hsun Huang Engineering Center
The Science and Engineering Libraries will be merging the active Computer Science collection currently in the Mathematical and Computer Science Library into the Engineering Library over Spring Break (March 22-26). The CS collection item location will be changed by batch process to ENG and all items will be remarked. Computer Science reserve items will be available in the Engineering Library for Spring Term. (For more information about the collection move and the renamed Mathematics and Statistics Library, see the SULAIR News article, The Computer Science Collection Is Moving!" by Linda Yamamoto.) The active Physics collection from the Physics and Applied Physics Library in the Varian Physics Building will merge into the new Engineering Library in June after graduation.
Standards @ the Engineering Library

The Engineering Library is pleased to announce a substantial increase in our Standards collection. We have just subscribed to an online standards collection from TechStreet. The collection includes complete standards collections from ACI, ASCE , ASME, EI/IP, ICC, and NFPA as well as selected standards from ISO and IEC. For more information, check out our Standards Research Guide.
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2010: The New Engineering Library Odyssey
PARC Forum: Going with the Flow: Energy Efficient Design of Fluid Mechanical Systems, Jan 7 2010
Going with the Flow: Energy Efficient Design of Fluid Mechanical Systems
Date: Thursday Jan 7 2010, 4:00pm-5:00pm
Speaker: Peter Fiske, VP of Research and Development, PAX Scientific
This event is free and open to the public; no registration required. All talks take place at George E. Pake Auditorium, PARC (http://www.parc.com/map/). There is parking available on site and the venue is handicap accessible.
Description:
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Patent Resources
The Intellogist website has an excellent patent coverage map that allows you to identify which databases cover full-text patent documents from paid or free sites. Stanford may NOT have purchased access to all the paid sites mentioned on this map.
Searching via Stanford’s paid resources
CHM noon event: Microprocessor Marketing Wars, Nov 20, 2009
Microprocessor Marketing Wars: Chip Makers Discover the Consumer
Panel: Jack Browne, Claude Leglise, Melissa Rey, Dave House, and Moderated By David Laws
DATE & TIME
Friday, November 20, 2009
12 p.m. - Bring your lunch. Beverages will be provided.
LOCATION
1401 N. Shoreline Boulevard
Mountain View, CA 94043
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PARC Forum: Information on the go, Nov. 5, 2009
Title: Information on the go
Date: Thursday 5 Nov 2009 4:00pm-5:00pm
Speaker: Vint Cerf, Google, Vice President & Chief Internet Evangelist
Location:
George E. Pake Auditorium, PARC,
3333 Coyote Hill Rd, Palo Alto, California, USA
http://www.parc.com/util/map.html
This presentation is FREE and open to the public. There is free parking, and the venue is handicapped accessible. No registration is required. Seating is on a first come first served basis.
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Implicit Social Nets and their Use in Predictive Modeling, Nov 11
Location: NASA Exploration Center, Moffett Field, Mountain Views, CA
Date: November 11, 2009; 6:30 pm
Cost: Free and open to all who wish to attend.
Anyone may join our mailing list at no charge, and receive announcements of upcoming events.
Speaker: Khosrow Habibi, KXEN
ABSTRACT:
In last 20 years, the application of Predictive Modeling has gradually evolved and has become popular in many B2C companies. These applications range from offline targeted marketing to real-time credit card fraud detection. In these uses, an entity (typically a customer) is characterized by its static (demographic, psychographic, etc) and more importantly dynamic behavioral attributes usually derived from transactional data.
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