443 research outputs found
A study of distribution of micro-ingredients in mixed feeds
Call number: LD2668 .T4 1957 C74Master of Scienc
Supporting Early Childhood Students’ Communication Skills Within The Classroom
The research question addressed by this project is What teaching strategies are recommended for early childhood teachers to implement into their practice to support all students’ communication skill development? The purpose of this exploration is to identify effective strategies for early childhood classroom teachers to reference and utilize when supporting their student’s communication skills. This project reviews studies conducted by well-known researchers in the field of childhood development and references professionals within the field of Speech and Language Pathology in order to create a digital resource compiling receptive and expressive communication strategies to be used with early childhood students. The research focuses on language acquisition, receptive language and expressive language. To encourage early childhood teachers to support their students’ communication skills within the classroom, the capstone project is a compilation of the strategies gathered as a result of the research into the form of a website including pictures and videos describing how to effectively use each of the communication strategies
The Personal Creed Project: Portal to Deepened Learning
The founder of an influential and transformative writing project reflects on its grounding in Moffett’s philosophy and presents the model of learning that grew out of it
HEALTH PERCEPTION, ANGINAL SYMPTOMS AND LIFE SATISFACTION AFTER CORONARY ARTERY BYPASS AND PERCUTANEOUS TRANSLUMINAL CORONARY ANGIOPLASTY
The purpose of this descriptive correlational study was to gather data about the perceived health, anginal symptoms and life satisfaction in CABG and PTCA patients. The study explored the interrelationships among the variables and the differences between the two groups. The problem statement was:
1. How do patients perceive their own past, present and future health, level of anginal symptoms and life satisfaction after CABG and PTCA?
2. What are the interrelationships among perceived health, anginal symptoms and life satisfaction in CABG and PTCA patients.
The conceptual framework for this study was based on the social theory of symbolic interactionism and the nursing model of man-living-health (Parse, 1981). Perceived past, present and future health, anginal symptoms and life satisfaction were measured by the subject\u27s self placement along 100 millimeter analog scales. Data were obtained in a 30 minute interview with each subject at the time of the patient\u27s first follow-up visit to the physician\u27s office four to eight weeks post procedure. Twenty-two percent of the patients (eight patients) who were eligible for inclusion were included in the study.
The means of the scores for perceived health, anginal symptoms and life satisfaction were calculated. The Kruskal-Wallis one-way analysis of variance statistic was used to detect statistically significant differences between the two groups of subjects, and graphs were constructed to illustrate the relationships among the variables. Demographic data were subjected to descriptive analysis by group.
The mean scores for the PTCA group were low for the past, only slightly higher for the present, and much higher for the future for all three variables. The mean scores for the CABG group were low for the past and much higher for the present for all three variables. The mean scores for the future were higher for anginal symptoms, but lower for health and life satisfaction for the CABG group. A significant difference was found between the two groups for perceived present health, anginal symptoms and life satisfaction. The mean scores for perceived health, anginal symptoms and life satisfaction assumed a similar curve on a line graph for each group, suggesting a correlation between the variables within the group.
Implications for nursing practice apply at primary and secondary levels of prevention. On the primary level, information obtained in descriptive research aimed at identifying commonly occurring perceptions in the CABG and PTCA patient would allow the nurse to begin intervention in the pre-procedure period by clarifying misconceptions and initiating accurate pre-procedure instruction. On the secondary level of prevention, the nurse can begin clarifying these commonly occurring misconceptions early in the recovery period in an attempt to encourage health-promoting behavior choices based on realistic expectations by the patient. Implications for nursing research and education were related to the addition of new information regarding the perceptions of the CABG and PTCA patient
Mass Spectrometry Image Creator (MSIC): Ion Mobility / Mass Spectrometry Imaging Workflow in Python
Mass spectrometry (MS) is a powerful characterization technique that enables identification of compounds in complex mixtures. Acquiring mass spectra in a spatially-resolved manner (i.e. over a grid), allows the data to be used to generate images that show the spatial distribution and relative intensities of every compound in a sample. These images can be used to monitor and identify biomarkers, explore the metabolism of compounds within tissues, and much more. However, the limitations of mass spectrometry can result in ambiguous compound identifications. Another characterization tool, ion mobility spectrometry (IM) can be integrated into existing MS routines to address this problem; measuring an ion mobility spectrum along with a mass spectrum over the grid results in more accurate compound identification in imaging experiments. While many software solutions exist for visualizing MS data, none of them support ion mobility. Thus, we have developed a novel program to incorporate this new dimension of data called Mass Spectrometry Image Creator (MSIC). Using existing software within a Python shell, MSIC creates images from raw IM-MS data through a semi-automated and batch-capable pipeline. Additionally, it includes several post-processing tools for further analysis and error correction
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Bioavailability in soils
The consumption of locally-produced vegetables by humans may be an important exposure pathway for soil contaminants in many urban settings and for agricultural land use. Hence, prediction of metal and metalloid uptake by vegetables from contaminated soils is an important part of the Human Health Risk Assessment procedure. The behaviour of metals (cadmium, chromium, cobalt, copper, mercury, molybdenum, nickel, lead and zinc) and metalloids (arsenic, boron and selenium) in contaminated soils depends to a large extent on the intrinsic charge, valence and speciation of the contaminant ion, and soil properties such as pH, redox status and contents of clay and/or organic matter. However, chemistry and behaviour of the contaminant in soil alone cannot predict soil-to-plant transfer. Root uptake, root selectivity, ion interactions, rhizosphere processes, leaf uptake from the atmosphere, and plant partitioning are important processes that ultimately govern the accumulation ofmetals and metalloids in edible vegetable tissues. Mechanistic models to accurately describe all these processes have not yet been developed, let alone validated under field conditions. Hence, to estimate risks by vegetable consumption, empirical models have been used to correlate concentrations of metals and metalloids in contaminated soils, soil physico-chemical characteristics, and concentrations of elements in vegetable tissues. These models should only be used within the bounds of their calibration, and often need to be re-calibrated or validated using local soil and environmental conditions on a regional or site-specific basis.Mike J. McLaughlin, Erik Smolders, Fien Degryse, and Rene Rietr
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