A comparison of the fluency of oral, written and multiple-choice recall after silent reading of five grade levels

Thesis (Ed.M.)--Boston Universit

The national impact of regional policy : policy simulation with labour market constraints in a two-regional computable general equilibrium model

The first step in a comprehensive evaluation of regional policy is to identify its full spatial impact. This involves two tasks. The first is to determine the form and strength of inter-regional linkages. The second is to specify the national constraints within which the system of regional economies operates. In this paper we use simulation results from a two-region Computable General Equilibrium (CGE) model of Scotland and the rest of the UK (RUK) to investigate these issues. The inter-regional linkages incorporate trade and income flows, inter-regional capital mobility and migration. The constraint that we focus on is an overall national population constraint and its impact on regional wage determination. The paper is structured in the following way. Section 2 outlines the AMOSRUK modelling framework. Section 3 describes the alternative labour-market model configurations used in the simulations. Section 4 reports the results for the model simulation and Section 5 is a short conclusion

Induction of Colonic Aberrant Crypts in Mice by Feeding Apparent N-Nitroso Compounds Derived From Hot Dogs

Nitrite-preserved meats (e.g., hot dogs) may help cause colon cancer because they contain N-nitroso compounds. We tested whether purified hot-dog-derived total apparent N-nitroso compounds (ANC) could induce colonic aberrant crypts, which are putative precursors of colon cancer. We purified ANC precursors in hot dogs and nitrosated them to produce ANC. In preliminary tests, CF1 mice received 1 or 3 i.p. injections of 5mg azoxymethane (AOM)/kg. In Experiments 1 and 2, female A/J mice received ANC in diet. In Experiment 1, ANC dose initially dropped sharply because the ANC precursors had mostly decomposed but, later in Experiment 1 and throughout Experiment 2, ANC remained at 85 nmol/g diet. Mice were killed after 8 (AOM tests) or 17–34 (ANC tests) wk.Median numbers of aberrant crypts in the distal 2 cm of the colon for 1 and 3 AOMinjections, CF1 controls, ANC (Experiment 1), ANC (Experiment 2),and untreated A/J mice were 31, 74, 12, 20, 12, and 5–6, with P < 0.01 for both ANC tests. Experiment 2 showed somewhat increased numbers of colonic mucin-depleted foci in the ANC-treated group. We conclude that hot-dog-derived ANC induced significant numbers of aberrant crypts in the mouse colon

Stress corrosion in titanium alloys and other metallic materials

Multiple physical and chemical techniques including mass spectroscopy, atomic absorption spectroscopy, gas chromatography, electron microscopy, optical microscopy, electronic spectroscopy for chemical analysis (ESCA), infrared spectroscopy, nuclear magnetic resonance (NMR), X-ray analysis, conductivity, and isotopic labeling were used in investigating the atomic interactions between organic environments and titanium and titanium oxide surfaces. Key anhydrous environments studied included alcohols, which contain hydrogen; carbon tetrachloride, which does not contain hydrogen; and mixtures of alcohols and halocarbons. Effects of dissolved salts in alcohols were also studied. This program emphasized experiments designed to delineate the conditions necessary rather than sufficient for initiation processes and for propagation processes in Ti SCC

Manage at Work: A Randomized, Controlled Trial of a Self-Management Group Intervention to Overcome Workplace Challenges Associated with Chronic Physical Health Conditions

Background: The percentage of older and chronically ill workers is increasing rapidly in the US and in many other countries, but few interventions are available to help employees overcome the workplace challenges of chronic pain and other physical health conditions. While most workers are eligible for job accommodation and disability compensation benefits, other workplace strategies might improve individual-level coping and problem solving to prevent work disability. In this study, we hypothesize that an employer-sponsored group intervention program employing self-management principles may improve worker engagement and reduce functional limitation associated with chronic disorders. Methods: In a randomized controlled trial (RCT), workers participating in an employer-sponsored self-management group intervention will be compared with a no-treatment (wait list) control condition. Volunteer employees (n = 300) will be recruited from five participating employers and randomly assigned to intervention or control. Participants in the intervention arm will attend facilitated group workshop sessions at work (10 hours total) to explore methods for improving comfort, adjusting work habits, communicating needs effectively, applying systematic problem solving, and dealing with negative thoughts and emotions about work. Work engagement and work limitation are the principal outcomes. Secondary outcomes include fatigue, job satisfaction, self-efficacy, turnover intention, sickness absence, and health care utilization. Measurements will be taken at baseline, 6-, and 12-month follow-up. A process evaluation will be performed alongside the randomized trial. Discussion: This study will be most relevant for organizations and occupational settings where some degree of job flexibility, leeway, and decision-making autonomy can be afforded to affected workers. The study design will provide initial assessment of a novel workplace approach and to understand factors affecting its feasibility and effectiveness

High levels of sewage contamination released from urban areas after storm events: A quantitative survey with sewage specific bacterial indicators

Background Past studies have demonstrated an association between waterborne disease and heavy precipitation, and climate change is predicted to increase the frequency of these types of intense storm events in some parts of the United States. In this study, we examined the linkage between rainfall and sewage contamination of urban waterways and quantified the amount of sewage released from a major urban area under different hydrologic conditions to identify conditions that increase human risk of exposure to sewage. Methods and findings Rain events and low-flow periods were intensively sampled to quantify loads of sewage based on two genetic markers for human-associated indicator bacteria (human Bacteroides and Lachnospiraceae). Samples were collected at a Lake Michigan estuary and at three river locations immediately upstream. Concentrations of indicators were analyzed using quantitative polymerase chain reaction (qPCR), and loads were calculated from streamflow data collected at each location. Human-associated indicators were found during periods of low flow, and loads increased one to two orders of magnitude during rain events from stormwater discharges contaminated with sewage. Combined sewer overflow (CSO) events increased concentrations and loads of human-associated indicators an order of magnitude greater than heavy rainfall events without CSO influence. Human-associated indicator yields (load per km2 of land per day) were related to the degree of urbanization in each watershed. Contamination in surface waters were at levels above the acceptable risk for recreational use. Further, evidence of sewage exfiltration from pipes threatens drinking water distribution systems and source water. While this study clearly demonstrates widespread sewage contamination released from urban areas, a limitation of this study is understanding human exposure and illness rates, which are dependent on multiple factors, and gaps in our knowledge of the ultimate health outcomes. Conclusions With the prediction of more intense rain events in certain regions due to climate change, sewer overflows and contamination from failing sewer infrastructure may increase, resulting in increases in waterborne pathogen burdens in waterways. These findings quantify hazards in exposure pathways from rain events and illustrate the additional stress that climate change may have on urban water systems. This information could be used to prioritize efforts to invest in failing sewer infrastructure and create appropriate goals to address the health concerns posed by sewage contamination from urban areas

Sewage reflects the microbiomes of human populations

© The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in mBio 6 (2015): e02574-14, doi:10.1128/mBio.02574-14.Molecular characterizations of the gut microbiome from individual human stool samples have identified community patterns that correlate with age, disease, diet, and other human characteristics, but resources for marker gene studies that consider microbiome trends among human populations scale with the number of individuals sampled from each population. As an alternative strategy for sampling populations, we examined whether sewage accurately reflects the microbial community of a mixture of stool samples. We used oligotyping of high-throughput 16S rRNA gene sequence data to compare the bacterial distribution in a stool data set to a sewage influent data set from 71 U.S. cities. On average, only 15% of sewage sample sequence reads were attributed to human fecal origin, but sewage recaptured most (97%) human fecal oligotypes. The most common oligotypes in stool matched the most common and abundant in sewage. After informatically separating sequences of human fecal origin, sewage samples exhibited ~3× greater diversity than stool samples. Comparisons among municipal sewage communities revealed the ubiquitous and abundant occurrence of 27 human fecal oligotypes, representing an apparent core set of organisms in U.S. populations. The fecal community variability among U.S. populations was significantly lower than among individuals. It clustered into three primary community structures distinguished by oligotypes from either: Bacteroidaceae, Prevotellaceae, or Lachnospiraceae/Ruminococcaceae. These distribution patterns reflected human population variation and predicted whether samples represented lean or obese populations with 81 to 89% accuracy. Our findings demonstrate that sewage represents the fecal microbial community of human populations and captures population-level traits of the human microbiome.Funding for this work was provided by the NIH grant R01AI091829-01A1 to S.L.M. and M.L.S