Deploying the Maintenance Decision Support System (MDSS) in Iowa, 2003

Adverse weather conditions dramatically affect the nation’s surface transportation system. The development of a prototype winter Maintenance Decision Support System (MDSS) is part of the Federal Highway Administration’s effort to produce a prototype tool for decision support to winter road maintenance managers to help make the highways safer for the traveling public. The MDSS is based on leading diagnostic and prognostic weather research capabilities and road condition algorithms, which are being developed at national research centers. In 2003, the Iowa Department of Transportation was chosen as a field test bed for the continuing development of this important research program. The Center for Transportation Research and Education assisted the Iowa Department of Transportation by collecting and analyzing surface condition data. The Federal Highway Administration also selected five national research centers to participate in the development of the prototype MDSS. It is anticipated that components of the prototype MDSS system developed by this project will ultimately be deployed by road operating agencies, including state departments of transportation, and generally supplied by private vendors.

Remote Sensing Change Analysis Methodology to Support Traffic Monitoring Programs, 2003

The Federal Highway Administration mandates that states collect traffic count information at specified intervals to meet the needs of the Highway Performance Monitoring System (HPMS). A manual land use change detection method was employed to determine the effects of land use change on traffic for Black Hawk County, Iowa, from 1994 to 2002. Results from land use change detection could enable redirecting traffic count activities and related data management resources to areas that are experiencing the greatest changes in land use and related traffic volume. Including a manual land use change detection process in the Iowa Department of Transportation’s traffic count program has the potential to improve efficiency by focusing monitoring activities in areas more likely to experience significant increase in traffic.

Remote Sensing Change Analysis Methodology to Support Traffic Monitoring Programs: Phase 2, 2004

The Center for Transportation Research and Education (CTRE) issued a report in July 2003, based on a sample study of the application of remote sensed image land use change detection to the methodology of traffic monitoring in Blackhawk County, Iowa. In summary, the results indicated a strong correlation and a statistically significant regression coefficient between the identification of built-up land use change areas from remote sensed data and corresponding changes in traffic patterns, expressed as vehicle miles traveled (VMT). Based on these results, the Iowa Department of Transportation (Iowa DOT) requested that CTRE expand the study area to five counties in the southwest quadrant of the state. These counties are scheduled for traffic counts in 2004, and the Iowa DOT desired the data to 1) evaluate the current methodology used to place the devices; 2) potentially influence the placement of traffic counting devices in areas of high built-up land use change; and 3) determine if opportunities exist to reduce the frequency and/or density of monitoring activity in lower trafficked rural areas of the state. This project is focused on the practical application of built-up land use change data for placement of traffic count data recording devices in five southwest Iowa counties.

Infirmier en psychiatrie de liaison : développement de la supervision en milieu somatique [Liaison psychiatry nurse: The development of supervision in somatic medicine].

BACKGROUND: Over the years, somatic care has become increasingly specialized. Furthermore, a rising number of patients requiring somatic care also present with a psychiatric comorbidity. As a consequence, the time and resources needed to care for these patients can interfere with the course of somatic treatment and influence the patient-caregiver relationship. In the light of these observations, the Liaison Psychiatry Unit at the University Hospital in Lausanne (CHUV) has educated its nursing staff in order to strengthen its action within the general care hospital. What has been developed is a reflexive approach through supervision of somatic staff, in order to improve the efficiency of liaison psychiatry interventions with the caregivers in charge of patients. The kind of supervision we have developed is the result of a real partnership with somatic staff. Besides, in order to better understand the complexity of interactions between the two systems involved, the patient's and the caregivers', we use several theoretical references in an integrative manner. PSYCHOANALYTICAL REFERENCE: The psychoanalytical model allows us to better understand the dynamics between the supervisor and the supervised group in order to contain and give meaning to the affects arising in the supervision space. "Containing function" and "transitional phenomena" refer to the experience in which emotions can find a space where they can be taken in and processed in a secure and supportive manner. These concepts, along with that of the "psychic envelope", were initially developed to explain the psychological development of the baby in its early interactions with its mother or its surrogate. In the field of supervision, they allow us to be aware of these complex phenomena and the diverse qualities to which a supervisor needs to resort, such as attention, support and incentive, in order to offer a secure environment. SYSTEMIC REFERENCE: A new perspective of the patient's complexity is revealed by the group's dynamics. The supervisor's attention is mainly focused on the work of affects. However, these are often buried under a defensive shell, serving as a temporary protection, which prevents the caregiver from recognizing his or her own emotions, thereby enhancing the difficulties in the relationship with the patient. Whenever the work of putting emotions into words fail, we use "sculpting", a technique derived from the systemic model. Through the use of this type of analogical language, affects can emerge without constraint or feelings of danger. Through "playing" in that "transitional space", new exchanges appear between group members and allow new behaviors to be conceived. In practice, we ask the supervisee who is presenting a complex situation, to design a spatial representation of his or her understanding of the situation, through the display of characters significant to the situation: the patient, somatic staff members, relatives of the patient, etc. In silence, the supervisee shapes the characters into postures and arranges them in the room. Each sculpted character is identified, named, and positioned, with his or her gaze being set in a specific direction. Finally the sculptor shapes him or herself in his or her own role. When the sculpture is complete and after a few moments of fixation, we ask participants to express themselves about their experience. By means of this physical representation, participants to the sculpture discover perceptions and feelings that were unknown up to then. Hence from this analogical representation a reflection and hypotheses of understanding can arise and be developed within the group. CONCLUSION: Through the use of the concepts of "containing function" and "transitional space" we position ourselves in the scope of the encounter and the dialog. Through the use of the systemic technique of "sculpting" we promote the process of understanding, rather than that of explaining, which would place us in the position of experts. The experience of these encounters has shown us that what we need to focus on is indeed what happens in this transitional space in terms of dynamics and process. The encounter and the sharing of competencies both allow a new understanding of the situation at hand, which has, of course, to be verified in the reality of the patient-caregiver relationship. It is often a source of adjustment for interpersonal skills to recover its containing function in order to enable caregiver to better respond to the patient's needs.

Iowa State Plan on Aging: Balancing Long-Term Community Support Services for Aging Iowans, FY 2014–2015

This plan outlines the activities and strategies that the IDA will purse to achieve its goals, objectives, and expected outcomes in modernizing Iowa’s aging network. The goals that will move Iowa’s state plan.

Robust Nonlinear Mapping of Soil Contamination Using Support Regression

Spatial data analysis mapping and visualization is of great importance in various fields: environment, pollution, natural hazards and risks, epidemiology, spatial econometrics, etc. A basic task of spatial mapping is to make predictions based on some empirical data (measurements). A number of state-of-the-art methods can be used for the task: deterministic interpolations, methods of geostatistics: the family of kriging estimators (Deutsch and Journel, 1997), machine learning algorithms such as artificial neural networks (ANN) of different architectures, hybrid ANN-geostatistics models (Kanevski and Maignan, 2004; Kanevski et al., 1996), etc. All the methods mentioned above can be used for solving the problem of spatial data mapping. Environmental empirical data are always contaminated/corrupted by noise, and often with noise of unknown nature. That's one of the reasons why deterministic models can be inconsistent, since they treat the measurements as values of some unknown function that should be interpolated. Kriging estimators treat the measurements as the realization of some spatial randomn process. To obtain the estimation with kriging one has to model the spatial structure of the data: spatial correlation function or (semi-)variogram. This task can be complicated if there is not sufficient number of measurements and variogram is sensitive to outliers and extremes. ANN is a powerful tool, but it also suffers from the number of reasons. of a special type ? multiplayer perceptrons ? are often used as a detrending tool in hybrid (ANN+geostatistics) models (Kanevski and Maignank, 2004). Therefore, development and adaptation of the method that would be nonlinear and robust to noise in measurements, would deal with the small empirical datasets and which has solid mathematical background is of great importance. The present paper deals with such model, based on Statistical Learning Theory (SLT) - Support Vector Regression. SLT is a general mathematical framework devoted to the problem of estimation of the dependencies from empirical data (Hastie et al, 2004; Vapnik, 1998). SLT models for classification - Support Vector Machines - have shown good results on different machine learning tasks. The results of SVM classification of spatial data are also promising (Kanevski et al, 2002). The properties of SVM for regression - Support Vector Regression (SVR) are less studied. First results of the application of SVR for spatial mapping of physical quantities were obtained by the authorsin for mapping of medium porosity (Kanevski et al, 1999), and for mapping of radioactively contaminated territories (Kanevski and Canu, 2000). The present paper is devoted to further understanding of the properties of SVR model for spatial data analysis and mapping. Detailed description of the SVR theory can be found in (Cristianini and Shawe-Taylor, 2000; Smola, 1996) and basic equations for the nonlinear modeling are given in section 2. Section 3 discusses the application of SVR for spatial data mapping on the real case study - soil pollution by Cs137 radionuclide. Section 4 discusses the properties of the modelapplied to noised data or data with outliers.

Autism Support Program Annual Report, December 2015

The Autism Support Program provides funding for applied behavioral analysis services for children under the age of nine who meet certain diagnostic and financial eligibility criteria.

Family Support Subsidy and Children at Home Program SFY 2015, October 30, 2015

The Family Support Subsidy (FSS) program provides a monthly payment to help families with the cost of raising a child with a developmental disability. Parents of children with disabilities were very active in getting state and federal policy makers to look at how they could divert some of the funds going to institutional care. Families with severely disabled children wanted to raise their children at home but were met with a lot of resistance and policy barriers when they tried to get home-based support.

Prospective study of the barriers to nutritional support in a paediatric intensive care unit : P16

Introduction and aim: Children hospitalised in a paediatric intensive care unit (PICU) are mainly fed by nutritional support (NS) which may often be interrupted. The aims of the study were to verify the relationship between prescribed (PEI) and actual energy intake (AEI) and to identify the reasons for NS interruption. Methods: Prospective study in a PICU. PEI and AEI from day 1 to 15, type of NS (enteral, parenteral, mixed), position of the feeding tube, interruptions in NS and reasons for these were noted. Inter - ruptions were classified in categories of barriers and their frequency and duration were analysed. Results: Fifteen children (24 ± 25.2 months) were studied for 84 days. The NS was exclusively enteral (69%) or mixed (31%). PEI were significantly higher than AEI (54.7 ± 32.9 vs 49.2 ± 33.6 kcal/kg, p = 0.0011). AEI represented 93% of the PEI. Ninety-eight interruptions were noted and lasted 189 h, i.e. 9.4% of the evaluated time. The most frequent barriers were nursing procedures, respiratory physiotherapy and unavailability of intravenous access. The longest were caused by the necessity to stop NS for surgery or diagnostic studies, to treat burns or to carry out medical procedures. Conclusion: AEI in PICU were inferior by 7% to PEI, considerably lower than in adult studies. Making these results available to medical staff for greater anticipation and compensation could reduce NS interruptions. Starving protocols should be reconsidered.

Evaluation of the multicriteria approval method for timber-harvesting group decision support

Abstract