Report on a review of selected general and application controls over the Iowa State University of Science and Technology Room and Board System for the period of April 9, 2012 through May 1, 2012

Report on a review of selected general and application controls over the Iowa State University of Science and Technology Room and Board System for the period of April 9, 2012 through May 1, 2012

Audit report of Iowa State University of Science and Technology as of and for the year ended June 30, 2012

Audit report of Iowa State University of Science and Technology as of and for the year ended June 30, 2012

La teoría de los clivajes y el conflicto social moderno

This article was delivered as an area-paper to the Critical Political Science Meeting of Bilbao, November the 15th 2008, which was organized by the Political Science Department of the UPV (University of the Basque Country). The paper introduces an updated and synthetic version of the model designed by S.M. Lipset and S. Rokkan in 1967 in order to identify the confrontational divides distinctive of European modernization and, in this way, trace the origins of modern party systems. The expanded model proposed is applied, on the one hand, to a variety of empirical cases, prominently the postransitional Spanish case; and on the other, shows its usefulness in order to better understand the distinctive structure of the social conflict of the globalization era.

Report of Recommendations to Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2012

Report on Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2012

New perspectives in the use of ink evidence in forensic science : part III : operational applications and evaluation

The research reported in this series of article aimed at (1) automating the search of questioned ink specimens in ink reference collections and (2) at evaluating the strength of ink evidence in a transparent and balanced manner. These aims require that ink samples are analysed in an accurate and reproducible way and that they are compared in an objective and automated way. This latter requirement is due to the large number of comparisons that are necessary in both scenarios. A research programme was designed to (a) develop a standard methodology for analysing ink samples in a reproducible way, (b) comparing automatically and objectively ink samples and (c) evaluate the proposed methodology in forensic contexts. This report focuses on the last of the three stages of the research programme. The calibration and acquisition process and the mathematical comparison algorithms were described in previous papers [C. Neumann, P. Margot, New perspectives in the use of ink evidence in forensic science-Part I: Development of a quality assurance process for forensic ink analysis by HPTLC, Forensic Sci. Int. 185 (2009) 29-37; C. Neumann, P. Margot, New perspectives in the use of ink evidence in forensic science-Part II: Development and testing of mathematical algorithms for the automatic comparison of ink samples analysed by HPTLC, Forensic Sci. Int. 185 (2009) 38-50]. In this paper, the benefits and challenges of the proposed concepts are tested in two forensic contexts: (1) ink identification and (2) ink evidential value assessment. The results show that different algorithms are better suited for different tasks. This research shows that it is possible to build digital ink libraries using the most commonly used ink analytical technique, i.e. high-performance thin layer chromatography, despite its reputation of lacking reproducibility. More importantly, it is possible to assign evidential value to ink evidence in a transparent way using a probabilistic model. It is therefore possible to move away from the traditional subjective approach, which is entirely based on experts' opinion, and which is usually not very informative. While there is room for the improvement, this report demonstrates the significant gains obtained over the traditional subjective approach for the search of ink specimens in ink databases, and the interpretation of their evidential value.

A process for mining science & technology documents databases, illustrated for the case of "knowledge discovery and data mining"

This paper presents a process of mining research & development abstract databases to profile current status and to project potential developments for target technologies, The process is called "technology opportunities analysis." This article steps through the process using a sample data set of abstracts from the INSPEC database on the topic o "knowledge discovery and data mining." The paper offers a set of specific indicators suitable for mining such databases to understand innovation prospects. In illustrating the uses of such indicators, it offers some insights into the status of knowledge discovery research*.

University of Iowa School of Library and Information Science newsletter. 1994-1995, no. 36.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. 1995-1996, no. 37.

Newsletter from the University of Iowa School of Library and Information Science.