Science and the Bible; or The mosaic creation and modern discoveries.

Mode of access: Internet.

Nominations of John Hammerschmidt to be a member of the National Transportation Safety Board, Jeffrey Runge to be Administrator of the National Highway Traffic Safety Administration, Nancy Victory to be Assistant Secretary of Commerce for Communications and Information, and Otto Wolff to be Assistant Secretary of Commerce and Chief Financial Officer : hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Seventh Congress, first session, Wednesday, August 1, 2001.

Distributed to some depository libraries in microfiche.

S. 368 and election reform : hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Seventh Congress, first session, May 8, 2001.

Distributed to some depository libraries in microfiche.

Ballast Water Management Act of 2005 : report of the Committee on Commerce, Science, and Transportation on S. 363.

"November 16, 2005."

Making appropriations for Science, the Departments of State, Justice, and Commerce, and related agencies for the fiscal year ending September 30, 2006, and for other purposes : conference report (to accompany H.R. 2862).

"November 7, 2005."

Warning, Alert, and Response Network Act : report of the Committee on Commerce, Science, and Transportation on S. 1753.

"December 8, 2005."

Software Principles Yielding Better Levels of Consumer Knowledge Act : report of the Committee on Commerce, Science, and Transportation on S. 687.

"June 12, 2006."

Human science, or, Phrenology : its principles, proofs, faculties, organs, temperaments, combinations, conditions, teachings, philosophies, etc., etc. : as applied to health, its values, laws, functions, organs, means, preservation, restoration, etc. : mental philosophy, human and self improvement, civilization, home, country, commerce, rights, duties, ethics, etc. : God, His existence, attributes, laws, worship, natural theology, etc. : immortality, its evidences, conditions, relations to time, rewards, punishments, sin, faith, prayer, etc. : intellect, memory, juvenile and self education, literature, mental discipline, the senses, sciences, arts, avocations, a perfect life, etc., etc., etc. /

Mode of access: Internet.

Space science research in the United States.

"OTA-TM-STI-19"--P. [4] of cover.

An approach to ontology for institutional facts in the semantic web

Refinement in software engineering allows a specification to be developed in stages, with design decisions taken at earlier stages constraining the design at later stages. Refinement in complex data models is difficult due to lack of a way of defining constraints, which can be progressively maintained over increasingly detailed refinements. Category theory provides a way of stating wide scale constraints. These constraints lead to a set of design guidelines, which maintain the wide scale constraints under increasing detail. Previous methods of refinement are essentially local, and the proposed method does not interfere very much with these local methods. The result is particularly applicable to semantic web applications, where ontologies provide systems of more or less abstract constraints on systems, which must be implemented and therefore refined by participating systems. With the approach of this paper, the concept of committing to an ontology carries much more force. (c) 2005 Elsevier B.V. All rights reserved.

Taxonomy of Australian Funnel-web spiders using rp-HPLC/ESI-MS profiling techniques

The complex nature of venom from spider species offers a unique natural source of potential pharmacological tools and therapeutic leads. The increased interest in spider venom molecules requires reproducible and precise identification methods. The current taxonomy of the Australian Funnel-web spiders is incomplete, and therefore, accurate identification of these spiders is difficult. Here, we present a study of venom from numerous morphologically similar specimens of the Hadronyche infensa species group collected from a variety of geographic locations in southeast Queensland. Analysis of the crude venoms using online reversed-phase high performance liquid chromatography/electrospray ionisation mass spectrometry (rp-HPLC/ESI-MS) revealed that the venom profiles provide a useful means of specimen identification, from the species level to species variants. Tables defining the descriptor molecules for each group of specimens were constructed and provided a quick reference of the relationship between one specimen and another. The study revealed that the morphologically similar specimens from the southeast Queensland region are a number of different species/species variants. Furthermore, the study supports aspects of the current taxonomy with respect to the H. infensa species group. Analysis of Australian Funnel-web spider venom by rp-HPLC/ESI-MS provides a rapid and accurate method of species/species variant identification. (c) 2006 Elsevier Ltd. All rights reserved.

Towards user profiling for web recommendation

Collaborative recommendation is one of widely used recommendation systems, which recommend items to visitor on a basis of referring other's preference that is similar to current user. User profiling technique upon Web transaction data is able to capture such informative knowledge of user task or interest. With the discovered usage pattern information, it is likely to recommend Web users more preferred content or customize the Web presentation to visitors via collaborative recommendation. In addition, it is helpful to identify the underlying relationships among Web users, items as well as latent tasks during Web mining period. In this paper, we propose a Web recommendation framework based on user profiling technique. In this approach, we employ Probabilistic Latent Semantic Analysis (PLSA) to model the co-occurrence activities and develop a modified k-means clustering algorithm to build user profiles as the representatives of usage patterns. Moreover, the hidden task model is derived by characterizing the meaningful latent factor space. With the discovered user profiles, we then choose the most matched profile, which possesses the closely similar preference to current user and make collaborative recommendation based on the corresponding page weights appeared in the selected user profile. The preliminary experimental results performed on real world data sets show that the proposed approach is capable of making recommendation accurately and efficiently.