Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy.

We have developed a digital holographic microscope (DHM), in a transmission mode, especially dedicated to the quantitative visualization of phase objects such as living cells. The method is based on an original numerical algorithm presented in detail elsewhere [Cuche et al., Appl. Opt. 38, 6994 (1999)]. DHM images of living cells in culture are shown for what is to our knowledge the first time. They represent the distribution of the optical path length over the cell, which has been measured with subwavelength accuracy. These DHM images are compared with those obtained by use of the widely used phase contrast and Nomarski differential interference contrast techniques.

Crosstalk between neutrophils and dendritic cells: a context-dependent process.

Neutrophils are massively and rapidly recruited following infection. They migrate to the site of acute infection and also transiently to dLNs. In addition to their well-established role as microbial killers, accumulating evidence shows that neutrophils can play an immunoregulatory role. Neutrophils were recently shown to influence the activation of different leukocyte types including NK cells, B cells, and DCs. DCs are professional APCs playing a key role to the launching and regulation of the immune response; thus, crosstalk between neutrophils and resident or newly recruited DCs may have a direct impact on the development of the antigen-specific immune response and thereby, on the outcome of infection. Neutrophils may regulate DC recruitment and/or activation. We will review here recent progress in the field, including those presented during the first international symposium on "Neutrophil in Immunity", held in Québec, Canada, in June 2012, and discuss how neutrophil regulatory action on DCs may differ depending on the type of invading microorganism and local host factors.

Visualization Resources for Iowa State University and the Iowa DOT: An Automated Design Model to Simulator Converter, November 2012

The creation of three-dimensional (3D) drawings for proposed designs for construction, re-construction and rehabilitation activities are becoming increasingly common for highway designers, whether by department of transportation (DOT) employees or consulting engineers. However, technical challenges exist that prevent the use of these 3D drawings/models from being used as the basis of interactive simulation. Use of driving simulation to service the needs of the transportation industry in the US lags behind Europe due to several factors, including lack of technical infrastructure at DOTs, cost of maintaining and supporting simulation infrastructure—traditionally done by simulation domain experts—and cost and effort to translate DOT domain data into the simulation domain.

Visualization Resources for Iowa State University and the Iowa DOT: An Automated Design Model to Simulator Converter, November 2012

The creation of three-dimensional (3D) drawings for proposed designs for construction, re-construction and rehabilitation activities are becoming increasingly common for highway designers, whether by department of transportation (DOT) employees or consulting engineers. However, technical challenges exist that prevent the use of these 3D drawings/models from being used as the basis of interactive simulation. Use of driving simulation to service the needs of the transportation industry in the US lags behind Europe due to several factors, including lack of technical infrastructure at DOTs, cost of maintaining and supporting simulation infrastructure—traditionally done by simulation domain experts—and cost and effort to translate DOT domain data into the simulation domain.

Drug Court Process Evaluation Report, February 2008

The Iowa Consortium for Substance Abuse Research and Evaluation conducted a process evaluation in 2007 on the seven adult and juvenile drug courts existing in Iowa in 2003. (A list of adult and juvenile drug courts established in Iowa from 2004 through 2007 appears in the appendix.) The drug courts evaluated in this study differ on several important factors, including the judicial supervision model used, resources available, and the severity level of clients served. The divergent resources and clients should be considered when comparing outcomes across courts. Section 1 provides an overview of each drug court included in this study.

Statewide Process and Comparative Outcomes Study of 2003 Iowa Adult and Juvenile Drug Courts, August 2009

A statewide evaluation of the six adult and three juvenile drug courts in operation during calendar year 2003 was conducted. Completion rates, recidivism, substance abuse treatment, and supervision and placement (juveniles only) costs were examined by model (Judge and Community Panel) and by Judicial District. In addition, adult drug court participants were compared with a group of offenders who were screened and declined or were rejected by drug court in 2003 (referred) and a sample of offenders starting probation in 2003 (probationer). The adult participant and comparison groups were tracked from their entry into drug court, or the study, through December 31, 2007. This yielded an average post-program follow-up time of almost 3 years (2.9) for drug court participants. For the juvenile portion, drug court participants were compared with a group matched on several demographic and offense variables (Matched Comparison group) and juveniles referred to drug court who did not enter the program (Referred Comparison group). The juvenile participant and comparison groups were tracked from their entry into drug court, or the study, through approximately 16 quarters after program discharge with an end date of December 31, 2007.

Process and Outcome Evaluation of the STAR (Sisters Together Achieving Recovery) Program, September, 2010

In July of 2009, the Division of Criminal and Juvenile Justice Planning (CJJP) received Byrne Justice Assistance Grant/American Recovery and Reinvestment Act funding from the Governor’s Office of Drug Control Policy to conduct a process and outcome evaluation of the STAR (Sisters Together Achieving Recovery) program housed at the Iowa Correctional Institution for Women (ICIW) in Mitchellville, Iowa. The STAR Program is a licensed inpatient substance abuse treatment program that utilizes a Therapeutic Community model (TC). All offenders exiting the STAR program between October 1, 2004 and June 30, 2008 were included in the study (n=173). A comparison sample was drawn of offenders exiting the ICIW during the same release time frame with identified but untreated substance abuse needs (n= 173). March 31, 2010 was designated as the cut-off date for the study. This yielded an average post-program follow-up time of 3.1 years. The STAR group was further divided into two groups by time of program exit. Participants exiting the program between October 1, 2004 and June 30, 2006 were designated as STAR 1 (n=78) and those exiting the program between July 1, 2006 and June 30, 2008 were designated as STAR 2 (n=95). In order to have comparable tracking time between STAR groups, tracking time for STAR 1 concluded July 31, 2008. This yielded an average post release follow-up time of 2.4 years for both groups. Demographic, Program, Intervention, and Outcome data were examined. Comparisons were made between groups as well as categories of participation.

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*.

State of Iowa Appropriations Process, 2013

State of Iowa Appropriations Process. Flow chart of the process.

Budget Process in Iowa, September 18, 2008

Budget Process: The Governor and the State Legislature appropriate the state resources after the revenue receipts are estimated by the Revenue Estimating Conference.

The construction process of pedagogical knowledge among nursing professors

Didactic knowledge about contents is constructed through an idiosyncratic synthesis between knowledge about the subject area, students' general pedagogical knowledge and the teacher's biography. This study aimed to understand the construction process and the sources of Pedagogical Content Knowledge, as well as to analyze its manifestations and variations in interactive teaching by teachers whom the students considered competent. Data collection involved teachers from an undergraduate nursing program in the South of Brazil, through non-participant observation and semistructured interviews. Data analysis was submitted to the constant comparison method. The results disclose the need for initial education to cover pedagogical aspects for nurses; to assume permanent education as fundamental in view of the complexity of contents and teaching; to use mentoring/monitoring and the value learning with experienced teachers with a view to the development of quality teaching.

Review of Iowa Department of Human Services Drug Testing Process, December 2008

This report outlines the current drugs testing practices and using these practices for testing requirements.