Implementation of a Pilot Continuous Monitoring System: Iowa Falls Arch Bridge, HR-1088, 2015

The goal of this work was to move structural health monitoring (SHM) one step closer to being ready for mainstream use by the Iowa Department of Transportation (DOT) Office of Bridges and Structures. To meet this goal, the objective of this project was to implement a pilot multi-sensor continuous monitoring system on the Iowa Falls Arch Bridge such that autonomous data analysis, storage, and retrieval can be demonstrated. The challenge with this work was to develop the open channels for communication, coordination, and cooperation of various Iowa DOT offices that could make use of the data. In a way, the end product was to be something akin to a control system that would allow for real-time evaluation of the operational condition of a monitored bridge. Development and finalization of general hardware and software components for a bridge SHM system were investigated and completed. This development and finalization was framed around the demonstration installation on the Iowa Falls Arch Bridge. The hardware system focused on using off-the-shelf sensors that could be read in either “fast” or “slow” modes depending on the desired monitoring metric. As hoped, the installed system operated with very few problems. In terms of communications—in part due to the anticipated installation on the I-74 bridge over the Mississippi River—a hardline digital subscriber line (DSL) internet connection and grid power were used. During operation, this system would transmit data to a central server location where the data would be processed and then archived for future retrieval and use. The pilot monitoring system was developed for general performance evaluation purposes (construction, structural, environmental, etc.) such that it could be easily adapted to the Iowa DOT’s bridges and other monitoring needs. The system was developed allowing easy access to near real-time data in a format usable to Iowa DOT engineers.

An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data

1. Few examples of habitat-modelling studies of rare and endangered species exist in the literature, although from a conservation perspective predicting their distribution would prove particularly useful. Paucity of data and lack of valid absences are the probable reasons for this shortcoming. Analytic solutions to accommodate the lack of absence include the ecological niche factor analysis (ENFA) and the use of generalized linear models (GLM) with simulated pseudo-absences. 2. In this study we tested a new approach to generating pseudo-absences, based on a preliminary ENFA habitat suitability (HS) map, for the endangered species Eryngium alpinum. This method of generating pseudo-absences was compared with two others: (i) use of a GLM with pseudo-absences generated totally at random, and (ii) use of an ENFA only. 3. The influence of two different spatial resolutions (i.e. grain) was also assessed for tackling the dilemma of quality (grain) vs. quantity (number of occurrences). Each combination of the three above-mentioned methods with the two grains generated a distinct HS map. 4. Four evaluation measures were used for comparing these HS maps: total deviance explained, best kappa, Gini coefficient and minimal predicted area (MPA). The last is a new evaluation criterion proposed in this study. 5. Results showed that (i) GLM models using ENFA-weighted pseudo-absence provide better results, except for the MPA value, and that (ii) quality (spatial resolution and locational accuracy) of the data appears to be more important than quantity (number of occurrences). Furthermore, the proposed MPA value is suggested as a useful measure of model evaluation when used to complement classical statistical measures. 6. Synthesis and applications. We suggest that the use of ENFA-weighted pseudo-absence is a possible way to enhance the quality of GLM-based potential distribution maps and that data quality (i.e. spatial resolution) prevails over quantity (i.e. number of data). Increased accuracy of potential distribution maps could help to define better suitable areas for species protection and reintroduction.

Report on the University of Northern Iowa, Cedar Falls, Iowa for the year ended June 30, 2014

Report on the University of Northern Iowa, Cedar Falls, Iowa for the year ended June 30, 2014

Predicting spinor condensate dynamics from simple principles

We study the spin dynamics of quasi-one-dimensional F=1 condensates both at zero and finite temperatures for arbitrary initial spin configurations. The rich dynamical evolution exhibited by these nonlinear systems is explained by surprisingly simple principles: minimization of energy at zero temperature and maximization of entropy at high temperature. Our analytical results for the homogeneous case are corroborated by numerical simulations for confined condensates in a wide variety of initial conditions. These predictions compare qualitatively well with recent experimental observations and can, therefore, serve as a guidance for ongoing experiments.

Iowa 58 Viking Road Corridor from U.S. 20 to Greenhill Road in Cedar Falls, Iowa, NHSX-U-58-1(91)--8S-07, 2015

The Proposed Action consists of the improvement of Iowa Highway 58 (IA 58) from U.S. Highway 20 (U.S. 20) north to Greenhill Road in Cedar Falls (Black Hawk County, Iowa). The improvement would include limiting at-grade access to IA 58 by adding one or more interchanges to the corridor which would be located at Viking Road, Greenhill Road, and reconfiguring the U.S. 20 interchange (Figure 1). In order to construct these interchanges and associated ramps, the pavement of IA 58 would be reconstructed. In a couple of locations, the alignment of IA 58 would be shifted.

Nondeclarative learning in children with Specific Language Impairment: Predicting regularities in the visuomotor, phonological, and cognitive domains.

Ullman (2004) suggested that Specific Language Impairment (SLI) results from a general procedural learning deficit. In order to test this hypothesis, we investigated children with SLI via procedural learning tasks exploring the verbal, motor, and cognitive domains. Results showed that compared with a Control Group, the children with SLI (a) were unable to learn a phonotactic learning task, (b) were able but less efficiently to learn a motor learning task and (c) succeeded in a cognitive learning task. Regarding the motor learning task (Serial Reaction Time Task), reaction times were longer and learning slower than in controls. The learning effect was not significant in children with an associated Developmental Coordination Disorder (DCD), and future studies should consider comorbid motor impairment in order to clarify whether impairments are related to the motor rather than the language disorder. Our results indicate that a phonotactic learning but not a cognitive procedural deficit underlies SLI, thus challenging Ullmans' general procedural deficit hypothesis, like a few other recent studies.

Audit report of the University of Northern Iowa, Cedar Falls, Iowa, as of and for the years ended June 30, 2015 and 2014

Audit report of the University of Northern Iowa, Cedar Falls, Iowa, as of and for the years ended June 30, 2015 and 2014

Comparison of microsatellite instability and chromosomal instability in predicting survival of patients with T3N0 colorectal cancer.

BACKGROUND: At least 2 apparently independent mechanisms, microsatellite instability (MSI) and chromosomal instability, are implicated in colorectal tumorigenesis. Their respective roles in predicting clinical outcomes of patients with T3N0 colorectal cancer remain unknown. METHODS: Eighty-eight patients with a sporadic T3N0 colon or rectal adenocarcinoma were followed up for a median of 67 months. For chromosomal instability analysis, Ki-ras mutations were determined by single-strand polymerase chain reaction, and p53 protein staining was studied by immunohistochemistry. For MSI analysis, DNA was amplified by polymerase chain reaction at 7 microsatellite targets (BAT25, BAT26, D17S250, D2S123, D5S346, transforming growth factor receptor II, and BAX). RESULTS: Overall 5-year survival rate was 72%. p53 protein nuclear staining was detected in 39 patients (44%), and MSI was detected in 21 patients (24%). MSI correlated with proximal location (P <.001) and mucinous content (P <.001). In a multivariate analysis, p53 protein expression carried a significant risk of death (relative risk = 4.0, 95% CI = 1.6 to 10.1, P =.004). By comparison, MSI was not a statistically significant prognostic factor for survival in this group (relative risk = 2.2, 95% CI = 0.6 to 7.3, P =.21). CONCLUSIONS: p53 protein overexpression provides better prognostic discrimination than MSI in predicting survival of patients with T3N0 colorectal cancer. Although MSI is associated with specific clinicopathologic parameters, it did not predict overall survival in this group. Assessment of p53 protein expression by immunocytochemistry provides a simple means to identify a subset of T3N0 patients with a 4-times increased risk for death.

Neural networks complemented with genetic algorithms and fuzzy systems for predicting nitrogenous effluent variables in wastewater treatment plants

This work focuses on the prediction of the two main nitrogenous variables that describe the water quality at the effluent of a Wastewater Treatment Plant. We have developed two kind of Neural Networks architectures based on considering only one output or, in the other hand, the usual five effluent variables that define the water quality: suspended solids, biochemical organic matter, chemical organic matter, total nitrogen and total Kjedhal nitrogen. Two learning techniques based on a classical adaptative gradient and a Kalman filter have been implemented. In order to try to improve generalization and performance we have selected variables by means genetic algorithms and fuzzy systems. The training, testing and validation sets show that the final networks are able to learn enough well the simulated available data specially for the total nitrogen

Falls efficacy predicts functional status on month after discharge in elderly patients undergoing post-accute rehabilitation

Objective: To investigate the relationship between falls efficacy at admission and functional status reported one month after discharge from post-acute rehabilitation in a cohort of elderly patients. Methods: Participants were elderly patients admitted to postacute rehabilitation in an academic geriatric facility. Data on demographics and affective status were collected upon admission; functional status and gait speed were measured at admission and at discharge; self-reported functional status and history of falls since discharge were collected one month after discharge (follow-up). Falls efficacy was measured using the Fall Efficacy Scale, that assesses confidence in performing 12 activities of daily living without falling (range 0 to 100, higher score indicating higher confidence). Patients were classified using the median FES score at baseline (95) as cut-off to divide the population into "confident" and "fearful" groups. Results: Participants' (N=180, mean age 81.3±7.1 years, 75.6% women) mean FES score was 92.3±8.7 at baseline (range 60-100). Basic ADL score averaged 3.5±1.6 at baseline, 4.7±1.3 at discharge, and 5.5±0.7 at follow-up (self-reported). Baseline FES score was positively correlated with basic ADL at follow-up (rho=0.35, p<.001). At follow-up, 58.7% of the patients were fully independent in basic ADL, this proportion being significantly higher in confident than fearful patients (70.7% vs 42.4%, p<.001). Compared to confident patients, those fearful had significantly lower odds (OR 0.3, 95%CI 0.2-0.6, p<.001) to report full independence at follow-up. This relationship remained (adjOR = 0.4, 95%CI 0.2-0.8, p=.01) after controlling for demographics, baseline gait speed, depressive symptoms, functional status at discharge, and history of falls since discharge. Conclusion: In this cohort of older rehab patients, poor falls efficacy at admission was associated with lower function reported one month after discharge even after controlling for initial mobility performance and functional status at discharge. Further studies should determine whether interventions aiming at falls efficacy improvement will also result in improved function in fearful subjects undergoing rehabilitation.

What matters for predicting spatial distributions of trees: techniques, data, or species' characteristics?

Data characteristics and species traits are expected to influence the accuracy with which species' distributions can be modeled and predicted. We compare 10 modeling techniques in terms of predictive power and sensitivity to location error, change in map resolution, and sample size, and assess whether some species traits can explain variation in model performance. We focused on 30 native tree species in Switzerland and used presence-only data to model current distribution, which we evaluated against independent presence-absence data. While there are important differences between the predictive performance of modeling methods, the variance in model performance is greater among species than among techniques. Within the range of data perturbations in this study, some extrinsic parameters of data affect model performance more than others: location error and sample size reduced performance of many techniques, whereas grain had little effect on most techniques. No technique can rescue species that are difficult to predict. The predictive power of species-distribution models can partly be predicted from a series of species characteristics and traits based on growth rate, elevational distribution range, and maximum elevation. Slow-growing species or species with narrow and specialized niches tend to be better modeled. The Swiss presence-only tree data produce models that are reliable enough to be useful in planning and management applications.

Preoperative upper gastrointestinal testing can help predicting long-term outcome after gastric banding for morbid obesity.

BACKGROUND: Gastric banding (GB) is one of the most popular bariatric procedures for morbid obesity. Apart from causing weight loss by alimentary restriction, it can interfere with functions of the esophagus and upper stomach. The aim of this study was to evaluate if the results of extensive preoperative upper GI testing were correlated with long-term outcome and complications after GB. METHODS: Using a prospectively maintained computerized database including all the patients undergoing bariatric operations in both our hospitals, we performed a retrospective analysis of the patients who underwent complete upper gastrointestinal (GI) testing (endoscopy, pH monitoring, and manometry) before GB. RESULTS: One hundred thirty-four patients underwent complete testing before GB. Abnormal pH monitoring (increased total reflux time, increased diurnal reflux time, increased number of reflux episodes) predicted the development of complications and especially pouch dilatation and food intolerance. The mean De Meester score was higher among patients who developed complications than in the remaining ones (25.4 vs 17.7, P=0.03). High lower esophageal sphincter pressure also predicted progressive long-term food intolerance. Endoscopic findings were not predictive of the long-term outcome. CONCLUSIONS: There is some association between the function of the upper digestive tract and long-term complications after gastric banding. Abnormal pH monitoring predicts overall long-term complications, especially food intolerance with or without reflux, and pouch dilatation, and a high lower esophageal sphincter pressure predicts long-term food intolerance. Extended upper gastrointestinal testing with endoscopy, 24-h pH monitoring, and esophageal manometry is probably worthwhile in selecting patients for gastric banding.