21 research outputs found
Computer models for predicting the probability of violating CO air quality standards : the model SIMCO.
No full textThis report presents the user instructions and data requirements for SIMCO, a combined simulation and probability computer model developed to quantify and evaluate carbon monoxide in roadside environments. The model permits direct determinations of the probability of violating the one- and eight-hour National Ambient Air Quality Standards for carbon monoxide. It also provides information on the magnitude and frequency of carbon monoxide concentrations. The probability of violating an air quality standard is a function of the random influences of meteorology, traffic volumes, emission patterns, and background pollution levels. SIMCO simulates carbon monoxide concentrations based on these parameters. Generally ten years of hourly concentrations are simulated for each analysis. The input data required by SIMCO are the source and receptor coordinates, representative historical meteorological records, temporal vehicle traffic volume and emission patterns, and representative background pollutant statistics. The model can be used to provide a comprehensive microscale analysis for highway environmental impact studies and state implementation plan hot spot analyses, and for monitor-siting studies to determine the attainment and maintenance of the standards for carbon monoxide
March 24, 1905 Page four Very little change in force at Grays Harbor F.A. Twitchell of Seattle here Civic Club will start crusade against rubbish
No full textGrinshaw, William; Furlong, William; Reynolds, Smith E.; Laubach, Frank; Wahlros, Albert; Stephens, O.T.; Simco, Della T.; Twitchell, F.A.; Piles, Samuel Henry, 1858-1940; Harper, F.C.; Lambert, J.P.; Booth, A.A.;steamer Evan Thomas
Recharge of the Memphis Aquifer in an Incised Urban Watershed
No full textThe Memphis aquifer is the principal source for groundwater in western Tennessee. Recharge processes to the aquifer are poorly understood, but previous studies show that recharge to the aquifer occurs more efficiently in stream gullies with sand bottoms than in upland terraces within rural areas of the recharge belt: the same is expected in urban areas. Water balance measurements in the Sandy Creek watershed in Jackson, Tennessee, provide information regarding infiltration and potential recharge to the Memphis Aquifer that may be typical of urban stream valleys where Coastal Plain aquifers are exposed. Monthly water balance estimates in the watershed indicate peak groundwater recharge during winter and early spring months with lesser contributions during the summer and fall when soil moisture retention is lowest. The majority of the recharge is attributed to discharge losses in the streambed with little recharge passing through the silt-rich soils of the upland surfaces
Spatial Variability of Stormwater Control Measures in Northeast Ohio: Preliminary Analysis and Additional Data Required
No full textIn urban areas, impervious surfaces and pipe networks rapidly deliver high volumes of stormwater to streams and sewer networks. Stormwater runoff causes flooding, erosion, pollution and degradation of aquatic ecosystems, and the discharge of raw sewage into the environment when combined sewers overflow. These impacts, especially in the context of increased urbanization and climate change have provoked intense interest in mitigating stormwater runoff. Yet, the impact of stormwater management practices on urban hydrology is poorly understood at the watershed scale as well as at the scale of a metropolitan area. Increased urbanization and imperviousness in urban watersheds throughout the world necessitate informed decision-making practices when implementing stormwater control measures. This study seeks to quantify how stormwater management actions modulate the influence of urbanization on flow regimes at the watershed scale. We analyze impervious surface cover and road density as measures of urbanization intensity. Based on data provided by the Cuyahoga Soil and Water Conservation District for 22 municipalities, the density of SCMs in USGS gauged watersheds is 0.31 SCMs/km2. Incomplete data means that this number is likely and underestimate of the true SCM density in the Cleveland area and we are actively seeking additional sources of SCM data from municipalities and other organizations. Using the current SCM dataset, we analyze the variability in SCM types, year of construction, and spatial distribution and compare these results to urbanization intensity. Once the SCM database is complete in the >12 USGS gaged watersheds in the Cleveland area, the next step will be to analyze the hydrologic response to precipitation with respect to urbanization intensity and stormwater management and their change over time. This research has the potential to inform municipal and watershed-scale efforts to optimize investments in stormwater infrastructure.</p
QEEG Asymmetry Ration is Related to Intelligence
No full textQEEG asymmetry ratio is related to intelligence
Patton DE, Selevan-Eisenstein E, Burns WJ, Montgomery D, Simco ER, Edmayer S.
This study evaluated different methodological approaches to quantifying the relationship between quantitative electroencephalography (QEEG) alpha activity and intelligence in high-risk children.
Sixteen right-handed children (mean age = 89.3 1 months, SD = 4.67) who were hospitalized at birth due to per&natal complications served as participants. QEEG was recorded as the children quietly listened to a story. The relationship of WISC-III Full Scale IQ to QEEG variables was evaluated in a 3-level analysis. Level I correlations were calculated between FSIQ and alpha activity at individual electrode sites. Level 2 correlations were calculated between FSIQ and asymmetry simple difference (DIFF) scores wherein left hemispheric alpha is subtracted from right hemispheric alpha (i.e., R - L).
Level 3 correlations were calculated between FSIQ and asymmetry ratio (AR) scores wherein left hemispheric alpha is subtracted from right hemispheric alpha and divided by their sum [i.e., (R - L)/ (R+L)]. Results of Level 1 analyses revealed that 3 out of 24 (12.5%) correlations for the left-sided electrodes were significant, 0 out of 24 (0%) were significant for the right-sided electrodes, and 0 out of 15 (0%) were significant for centerline electrodes. Results of Level 2 analyses revealed that 7 out of 24 (29.17%) of the correlations between FSIQ and DIFF scores were significant, representing a notable increase in information explained compared with Level 1. Analyses at Level 3 revealed 10 out of 24 (42.67%) of the correlations between FSIQ and AR scores were significant, representing a further increase in information explained compared with either Level 1 or Level 2. The same pattern of results across analysis levels was observed when regression formulas were generated. Specifically, analyses at Level I produced a best-fit R2 = 0.424, which failed to cross-validate (R2rnnss = 0.000). At Level 2 a somewhat improved best-fit R2= 0.79 was produced, however this value also underwent a large amount of shrinkage (R2ranss =0.140). Finally, Level 3 yielded a maximum R2 = 0.844 which achieved an acceptable moderate amount of shrinkage upon cross-validation (R2raEss = 0.525) given the small sample size of the study. Given that 52.5% of the variance of FSIQ was accounted for by AR values, this brief exploratory study concerning the relationship of QEEG to intelligence shows that the elucidation of brain-behavior relationships via QEEG requires complex analysis.
Abstracts /Archives of Clinical Neuropsychology 15 (2000) 653-85
Therapists’ religion: dialogical processes in the self-narratives of Christian clinical and counselling psychologists
No full textThe aim of this study was to explore the therapists' personal religious and spiritual belief systems and the impact of these on their work. The literature reviewed included material regarding the role of religion and spirituality in relation to psychology and therapy, identity, and especially, the person of the therapist. The present qualitative investigation applies the theory of the Dialogical Self to the narratives of five practising Christian clinical and counselling psychologists. It draws on a narrative to allow for process-oriented, context-sensitive interpretation
Diagnostic exercises at the Museum Sector: 12 years of Learning about what we call Red de Museos de Antioquia 2010-2022
No full textilustraciones, diagramas, mapas, planosEl siguiente trabajo escrito presenta los tres momentos que componen el ejercicio de trabajo de grado de la Maestria en Museología y Gestión del Patrimonio de la Universidad Nacional de Colombia.
La primera parte, producto de una pasantía colaborativa con Luz Daniela Ortíz, en el Museo Fiestas del Maíz, del Municipio de Sonsón, Antioquia. Para evaluar y proponer mejoras Museográficas y diseñar fases de ejecución y fuentes de financiación.
La segunda parte, un encargo profesional de investigación, diseño y producción de la exposición “Gente del Maíz”, con énfasis en los procesos curatoriales, para el Museo Universitario de la Universidad de Antioquia, en Medellín.
Y la tercera, el trabajo conceptual dedicado a los aprendizajes en torno la Red de Museos de Antioquia (el departamento con más museos de Colombia según el Sistema de Información de Museos Colombianos- SIMCO), a partir de las definiciones de Museos, Redes y sistemas; la aplicación de las herramientas de diagnóstico participativo y el análisis de información para generar propuestas alternativas de gestión que toman el territorio y la comunidad a la que se debe el museo, como su centro. (Texto tomado de la fuente).The following written paper presents the three moments that make up the undergraduate work of the Master’s Degree in Museology and Heritage Management of Universidad Nacional de Colombia.
The first part, as the product of a collaborative internship with Luz Daniela Ortíz, at the Fiestas del Maíz Museum, in the Municipality of Sonsón, Antioquia, to evaluate and propose museum improvements and design implementation phases and sources of financing.
The second part, a professional commission for research, design and production of the exhibition “Gente del Maíz”, with emphasis on curatorial processes and pedagogical curatorships, for the Museo Universitario de la Universidad de Antioquia, in Medellín.
And the third part, the conceptual work dedicated to learning about Red de Museos de Antioquia (the department with the most museums in Colombia according to the Colombian Museum Information System - SIMCO), based on the definitions of Museums, Networks and Systems; the application of participatory diagnostic tools and the analysis of information to generate alternative management proposals that take the territory and the community to which the museum owes it, as its center.Ministerio de Cultura de ColombiaMaestríaTeoría, Historia y Patrimoni
A Dictionary Learning Approach for Noise-Robust Image Reconstruction in Low-Field Magnetic Resonance Imaging
No full textObjective: Image denoising has been considered as a separate procedure from image reconstruction which could otherwise be combined with acquisition and reconstruction. This paper discusses a joint image reconstruction and denoising algorithm in low-field MRI using a dictionary learning approach. Method: Our proposed algorithm uses a two-level Bregman iterative method for image reconstruction and image denoising procedure using OMP for sparse coding and SimCO for Dictionary Update and Learning. Results: Experiments were done on a noisy phantom that was obtained from a low field MRI scanner. Results demonstrate that our proposed algorithm performs superior image reconstructions that are almost noise-free. Our proposed method also performed better than the TBMDU algorithm, which performed better than DLMRI, a technique that substantially outperformed other CSMRI based reconstruction methods. However, the TBMDU algorithm is faster than our proposed algorithm due to additional iterations required during the denoising step. Conclusion: An algorithm that jointly performs reconstruction and denoising is essential in medical imaging modalities where image denoising has been a separate process from the reconstruction. Combining the two could save time and could avoid image details to be lost due to having two separate operations. This formulation is essential in imaging modalities like low-field MRI where the image signal is noisy and therefore performing a joint reconstruction and denoising could help improve the quality of the images obtained. Numerical Analysi
Accuracy of Flood Estimation with the Gama I Unit Hydrograph
No full textIn this study research is performed into the accuracy of flood estimation. In particular the rivers on the island of Java are considered. For these distinctive rivers, the GAMA I unit hydrograph theory was developed (Sri Harto 1985) for flood estimation. The GAMA theory defines 3 basic characteristics to represent a unit hydrograph; time of rise (time from the beginning of the storm to the time of peak discharge), peak discharge and base time (total time of run off). For these characteristics, relationships were derived by means of regression analysis using measured data of floods and related catch ment characteristics. In this study the GAMA equations are again derived by means of a program (REGRES) including the calculation of the standard deviations and the correlations of the regression coefficients. These indicate the accuracy of the model. To include the inaccuracy of the input data a program (SIMCO) is constructed in which the input data (measurements) are extended with stochastic features. It is assumed that all data are normally distributed. A simulation is performed based on the Monte Carlo simulation technique to derive a set of 150 equations for each GAMA equation. The standard deviations and correlations are calculated and indicate the sensitivity of the GAMA equations due to inaccurate measurements. By means of a fault tree for each GAMA equation the propagation of errors in the derivation is determined in a analytical and numerical way; analytically by means of the mean value approach and numerically by means of Monte Carlo simulation. The influence of the stochastic input data is very large and mainly dued to the variation of the measured unit hydrograph, derived from discharge measurements. The equations for the peak discharge and the base time seem to be very sensitive. Expressed in coefficients of variation the predictions can deviate 200% and 80% respectively (time of rise 25%). For further investigation only the model accuracy is taken into account; the predictions of the time of rise, peak discharge and base time deviate approximately 20% , 28% and 15% respectively. For calculation of the total hydrograph another program (HYDROGRAPH) is constructed. This program calculates the total hydrograph for a certain rainfall depth and rainfall distribution. The basic characteristics of the unit hydrograph are assumed to be normally distributed. The program generates the required input data from its distributions. A set of 75 hydrographs can be simulated. The model is applied to the river Putih in Java. Calculations show that the accuracy of the predicted maximum discharge depends highlyon the rainfall distribution. The rainfall depth has no influence on the accuracy. The model HYDROGRAPH cao be applied to every river for which the GAMA equations are valid and shows the accuracy of prediction.Hydraulic EngineeringCivil Engineering and Geoscience
Assessing Sexual and Physical Abuse in Adolescents Using the MMPI-A
No full text104th Annual ConventionAugust 9-13Toronto, Ontario, CanadaDorothy W. Cantor, Psy.D, President Published proceedings:American Psychologist, 1997, Vol. 52, # 8, pp. 813-868Includes minutes of the annual meeting of the Council of RepresentativesOther publications: separate program (APA Library call number: APA 003 1996
