977 resultados para United Methodist Church (U.S.)


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The purpose of this research project is to determine whether there is a cost/benefit to allocating financial and other company-related resources to improve environmental, health and safety performance beyond that which is required by law. The issue of whether a company benefits from spending dollars to achieve environmental, health and safety performance beyond legal compliance is an important issue to the chemical manufacturing industry in the United States because of the voluminous and complex legal requirements impacting environmental, health and safety expenditures. The cost/benefit issue has practical significance because many U.S. chemical manufacturing companies base their environmental, health and safety management strategies on just achieving and maintaining compliance with legal requirements when in reality this strategy may actually be a higher cost way of managing environmental, health and safety practices. This difference in environmental, health and safety management strategy is being investigated to determine if managing environmental, health and safety to achieve performance beyond that which is required by law results in a greater benefit to companies in the U.S. chemical manufacturing sector.

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Background Accidental poisoning is one of the leading causes of injury in the United States, second only to motor vehicle accidents. According to the Centers for Disease Control and Prevention, the rates of accidental poisoning mortality have been increasing in the past fourteen years nationally. In Texas, mortality rates from accidental poisoning have mirrored national trends, increasing linearly from 1981 to 2001. The purpose of this study was to determine if there are spatiotemporal clusters of accidental poisoning mortality among Texas counties, and if so, whether there are variations in clustering and risk according to gender and race/ethnicity. The Spatial Scan Statistic in combination with GIS software was used to identify potential clusters between 1980 and 2001 among Texas counties, and Poisson regression was used to evaluate risk differences. Results Several significant (p < 0.05) accidental poisoning mortality clusters were identified in different regions of Texas. The geographic and temporal persistence of clusters was found to vary by racial group, gender, and race/gender combinations, and most of the clusters persisted into the present decade. Poisson regression revealed significant differences in risk according to race and gender. The Black population was found to be at greatest risk of accidental poisoning mortality relative to other race/ethnic groups (Relative Risk (RR) = 1.25, 95% Confidence Interval (CI) = 1.24 – 1.27), and the male population was found to be at elevated risk (RR = 2.47, 95% CI = 2.45 – 2.50) when the female population was used as a reference. Conclusion The findings of the present study provide evidence for the existence of accidental poisoning mortality clusters in Texas, demonstrate the persistence of these clusters into the present decade, and show the spatiotemporal variations in risk and clustering of accidental poisoning deaths by gender and race/ethnicity. By quantifying disparities in accidental poisoning mortality by place, time and person, this study demonstrates the utility of the spatial scan statistic combined with GIS and regression methods in identifying priority areas for public health planning and resource allocation.

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Large field studies of travelers' diarrhea for multiple destinations are limited by the need to perform stool cultures on site in a timely manner. A method for the collection, transport, and storage of fecal specimens that does not require immediate processing and refrigeration and that is stable for months would be advantageous. This study was designed to determine if enterotoxigenic Escherichia coli (ETEC) and enteroaggregative E. coli (EAEC) DNA could be identified from cards that were processed for the evaluation of fecal occult blood. U.S. students traveling to Mexico during 2005 to 2007 were monitored for the occurrence of diarrheal illness. When ill, students provided a stool specimen for culture and occult blood by the standard methods. Cards then were stored at room temperature prior to DNA extraction. Fecal PCR was performed to identify ETEC and EAEC in DNA extracted from stools and from occult blood cards. Significantly more EAEC cases were identified by PCR that was performed on DNA that was extracted from cards (49%) or from frozen feces (40%) than from culture methods that used HEp-2 adherence assays (13%) (P < 0.001). Similarly, more ETEC cases were detected from card DNA (38%) than from fecal DNA (30%) or by culture that was followed by hybridization (10%) (P < 0.001). The sensitivity and specificity of the card test were 75 and 62%, respectively, compared to those for EAEC by culture and were 50 and 63%, respectively, compared to those for ETEC. DNA extracted from fecal cards that was used for the detection of occult blood is of use in identifying diarrheagenic E. coli.

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Up to 60% of U.S. visitors to Mexico develop traveler's diarrhea (TD), mostly due to enterotoxigenic Escherichia coli (ETEC) strains that produce heat-labile (LT) and/or heat-stable (ST) enterotoxins. Distinct single-nucleotide polymorphisms (SNPs) within the interleukin-10 (IL-10) promoter have been associated with high, intermediate, or low production of IL-10. We conducted a prospective study to investigate the association of SNPs in the IL-10 promoter and the occurrence of TD in ETEC LT-exposed travelers. Sera from U.S. travelers to Mexico collected on arrival and departure were studied for ETEC LT seroconversion by using cholera toxin as the antigen. Pyrosequencing was performed to genotype IL-10 SNPs. Stools from subjects who developed diarrhea were also studied for other enteropathogens. One hundred twenty-one of 569 (21.3%) travelers seroconverted to ETEC LT, and among them 75 (62%) developed diarrhea. Symptomatic seroconversion was more commonly seen in subjects who carried a genotype producing high levels of IL-10; it was seen in 83% of subjects with the GG genotype versus 54% of subjects with the AA genotype at IL-10 gene position -1082 (P, 0.02), in 71% of those with the CC genotype versus 33% of those with the TT genotype at position -819 (P, 0.005), and in 71% of those with the CC genotype versus 38% of those with the AA genotype at position -592 (P, 0.02). Travelers with the GCC haplotype were more likely to have symptomatic seroconversion than those with the ATA haplotype (71% versus 38%; P, 0.002). Travelers genetically predisposed to produce high levels of IL-10 were more likely to experience symptomatic ETEC TD.

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This research examines prevalence of alcohol and illicit substance use in the United States and Mexico and associated socio-demographic characteristics. The sources of data for this study are public domain data from the U.S. National Household Survey of Drug Abuse, 1988 (n = 8814), and the Mexican National Survey of Addictions, 1988 (n = 12,579). In addition, this study discusses methodologic issues in cross-cultural and cross-national comparison of behavioral and epidemiologic data from population-based samples. The extent to which patterns of substance abuse vary among subgroups of the U.S. and Mexican populations is assessed, as well as the comparability and equivalence of measures of alcohol and drug use in these national samples.^ The prevalence of alcohol use was somewhat similar in the two countries for all three measures of use: lifetime, past year and past year heavy use, (85.0%, 68.1%, 39.6% and 72.6%, 47.7% and 45.8% for the U.S. and Mexico respectively). The use of illegal substances varied widely between countries, with U.S. respondents reporting significantly higher levels of use than their Mexican counterparts. For example, reported use of any illicit substance in lifetime and past year was 34.2%, 11.6 for the U.S., and 3.3% and 0.6% for Mexico. Despite these differences in prevalence, two demographic characteristics, gender and age, were important correlates of use in both countries. Men in both countries were more likely to report use of alcohol and illicit substances than women. Generally speaking, a greater proportion of respondents in both countries 18 years of age or older reported use of alcohol for all three measures than younger respondents; and a greater proportion of respondents between the ages of 18 and 34 years reported use of illicit substances during lifetime and past year than any other age group.^ Additional substantive research investigating population-based samples and at-risk subgroups is needed to understand the underlying mechanisms of these associations. Further development of cross-culturally meaningful survey methods is warranted to validate comparisons of substance use across countries and societies. ^

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Background: Recent research suggested thatreligious coping, based on dispositional religiousness and spirituality (R/S), is an important modulating factor in the process of dealing with adversity. In contrast to the United States, the effect of R/S on psychological adjustment to stress is a widely unexplored area in Europe. Methods: We examined a Swiss sample of 328 church attendees in the aftermath of stressful life events to explore associations of positive or negative religious coping with the psychological outcome. Applying a cross-sectional design, we used Huber’s Centrality Scale to specify religiousness and Pargament’s measure of religious coping (RCOPE) for the assessment of positive and negative religious coping. Depressive symptoms and anxiety as outcome variables were examined by the Brief Symptom Inventory. The Stress-Related Growth Scale and the Marburg questionnaire for the assessment of well-being were used to assess positive outcome aspects. We conducted Mann-Whitney tests for group comparisons and cumulative logit analysis for the assessmentof associations of religious coping with our outcome variables. Results: Both forms of religious coping were positively associated with stress-related growth (p < 0.01). However, negative religious coping additionally reduced well-being (p = 0.05, β = 0.52, 95% CI = 0.27–0.99) and increased anxiety (p = 0.02, β = 1.94, 95% CI = 1.10–3.39) and depressive symptoms (p = 0.01, β = 2.27, 95% CI = 1.27–4.06). Conclusions: The effects of religious coping on the psychological adjustment to stressful life events seem relevant. These findings should be confirmed in prospective studies.

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Potential Desiccation Polygons (PDPs), tens to hundreds of meters in size, have been observed in numerous regions on Mars, particularly in ancient (>3Gyr old) terrains of inferred paleolacustrine/playa geologic setting, and in association with hydrous minerals such as smectites. Therefore, a better understanding of the conditions in which large desiccation polygons form could yield unique insight into the ancient climate on Mars. Many dried lakebeds/playas in western United States display large (>50m wide) desiccation polygons, which we consider to be analogues for PDPs on Mars. Therefore, we have carried out fieldwork in seven of these dried lakes in San Bernardino and the Death Valley National Park regions complemented with laboratory and spectral analysis of collected samples. Our study shows that the investigated lacustrine/playa sediments have (a) a soil matrix containing 40-75% clays and fine silt (by volume) where the clay minerals are dominated by illite/muscovite followed by smectite, (b) carbonaceous mineralogy with variable amounts of chloride and sulfate salts, and significantly, (c) roughly similar spectral signatures in the visible-near-infrared (VIS-NIR) range. We conclude that the development of large desiccation fractures is consistent with water table retreat. In addition, the comparison of the mineralogical to the spectral observations further suggests that remote sensing VIS-NIR spectroscopy has its limitations for detailed characterization of lacustrine/playa deposits. Finally, our results imply that the widespread distribution of PDPs on Mars indicates global or regional climatic transitions from wet conditions to more arid ones making them important candidate sites for future in situ missions.

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Public preferences for policy are formed in a little-understood process that is not adequately described by traditional economic theory of choice. In this paper I suggest that U.S. aggregate support for health reform can be modeled as tradeoffs among a small number of behavioral values and the stage of policy development. The theory underlying the model is based on Samuelson, et al.'s (1986) work and Wilke's (1991) elaboration of it as the Greed/Efficiency/Fairness (GEF) hypothesis of motivation in the management of resource dilemmas, and behavioral economics informed by Kahneman and Thaler's prospect theory. ^ The model developed in this paper employs ordered probit econometric techniques applied to data derived from U.S. polls taken from 1990 to mid-2003 that measured support for health reform proposals. Outcome data are four-tiered Likert counts; independent variables are dummies representing the presence or absence of operationalizations of each behavioral variable, along with an integer representing policy process stage. Marginal effects of each independent variable predict how support levels change on triggering that variable. Model estimation results indicate a vanishingly small likelihood that all coefficients are zero and all variables have signs expected from model theory. ^ Three hypotheses were tested: support will drain from health reform policy as it becomes increasingly well-articulated and approaches enactment; reforms appealing to fairness through universal health coverage will enjoy a higher degree of support than those targeted more narrowly; health reforms calling for government operation of the health finance system will achieve lower support than those that do not. Model results support the first and last hypotheses. Contrary to expectations, universal health care proposals did not provide incremental support beyond those targeted to “deserving” populations—children, elderly, working families. In addition, loss of autonomy (e.g. restrictions on choice of care giver) is found to be the “third rail” of health reform with significantly-reduced support. When applied to a hypothetical health reform in which an employer-mandated Medical Savings Account policy is the centerpiece, the model predicts support that may be insufficient to enactment. These results indicate that the method developed in the paper may prove valuable to health policy designers. ^

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The study compares a measure of income inequality with polarization scores of U.S. Representatives from the 104th to the 109th Congresses. It attempts to explain the link, on the abstract level, between high inequality and high polarization. The end findings indicate that inequality increases a Representative's likelihood to act liberally.

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4 Briefe und 8 Beilagen zwischen Gerhard Tinter und Max Horkheimer, 1938; 1 Brief von Hans Tischler an Max Horkheimer, 08.12.1938; 4 Briefe zwischen Bernhard H. Titcomb und Max Horkheimer, 22.09.1935, 1935; 2 Briefe zwischen Paul Titus und Max Horkheimer, 07.06.1942, 09.06.1942; 1 Brief von Ferdinand Tönnies an Max Horkheimer, 17.10.1935; 1 Brief von Tonetti Juliette Favez, 21.11.1935; 1 Brief vom Treasury Department an Max Horkheimer, 11.02.1937; 1 Brief von Edith A. Trotter an Max Horkheimer, 13.02.1941; 2 Briefe zwischen The Twentieth Century Fund und Max Horkheimer, 22.12.1942, 02.01.1943; 4 Briefe zwischen Robert Ulich und F. Pollock, 1936, 10.04.1941, 1941; 1 Brief von Max Horkheimer an United States of America Commissioner for Immigration and Naturalisation, 01.11.1940; 1 Brief von Max Horkheimer an das United States of America Department of Agriculture, 15.01.1940; 1 Brief von Max Horkheimer an das United States of America Department of State, 07.10.1941; 1 Brief von Herbert Marcuse an das United States of America Department of State, 07.10.1941; 1 Brief von Max Horkheimer an das Universität Frankfurt Kuratorium der Johann Wolfgang Goethe Universität, 05.07.1935; 1 Briefkopie von Max Horkheimer an die Universität Frankfurt, Der Rektor, 28.07.1933; 1 Brief und 1 Beilage von der University of Buffalo an Max Horkheimer, 06.03.1940; 5 Briefe zwischen der University of California Berkeley und Max Horkheimer, 1940; 2 Briefe zwischen der University of Colorado Libraries und Max Horkheimer, 17.10.1940, 25.10.1940; 3 Briefe zwischen der University of Newark und Max Horkheimer, 1935, 08.04.1938, 1938; 6 Briefe zwischen Jiri Veltruský und Max Horkheimer, 1948-1949; 1 Brief von Leon Verhille an Max Horkheimer, 19.12.1949; 5 Briefe zwischen Salka Viertel und Max Horkheimer, 1938, 1940; 1 Heiratsanzeige von Edward Walter Violin, 1949; 1 Notiz von Max Horkheimer an Edward Walter Violin; 1 Brief von Stitschan Voehard an Max Horkheimer, 03.01.1950;

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20 Briefe zwischen Alfred Haas und Max Horkheimer, 1935-1941; 2 Briefe von Willy Haas an Max Horkheimer, 1938; 3 Briefe zwischen Virginia Haber und Max Horkheimer, 12.09.1945, August 1945; 7 Briefe zwischen Hugo Hahn und Max Horkheimer, 1942-1946; 1 Brief von Max Horkheimer an Charles G. Haines, 23.10.1940; 1 Brief von Max Horkheimer an Hall, 02.07.1939; 2 Briefe zwischen H. Duncan Hall und Max Horkheimer, 04.08.1939, 24.07.1939; 2 Briefe zwsichen Herbert Berkerath und Max Horkheimer, 10.10.1939, 09.10.1939; 23 Briefe zwischen Wolfgang Hallgarten und Max Horkheimer, 1937-1941; 1 Brief von Max Horkheimer an die American Philosophic Society Philadelphia, 15.04.1940; 2 Briefe zwischen Betty Drury und Max Horkheimer, 29.02.1940, 20.02.1940; 6 Briefe zwischen Nina Almond und Max Horkheimer, 1939; 1 Brief von Ruth E. Hollander an Max Horkheimer, 08.09.1938; 1 Brief von dem Brooklyn College an Wolfgang Hallgarten, 29.04.1938; 4 briefe zwischen dem Brooklyn College und Max Horkheimer, 18.05.1938, 17.05.1938; 2 Briefe zwischen Robert Maynard Hutchins und Max Horkheimer, 02.11.1937, 28.10.1937; 2 Briefe zwsichen Hardt und Max Horkheimer, 01.10.1943; 4 Briefe zwischen Gertrude Hardt und Max Horkheimer, 1947-1948; 4 Briefe zwischen den Harper & Brothers New York und Max Horkheimer, 24.10.1950, 1950; 1 Brief von Friedrich Pollock an Margot von Mendelssohn, 13.09.1950; 1 Brief von Hartoch an Max Horkheimer, 09.06.1937; 4 Briefe zwischen dem Harvard College Cambridge Massachusetts und Max Horkheimer, 1939-1940; 3 Briefe zwischen Felix Hase und Max Horkheimer, 1936, 13.03.1936; 1 Brief von Freda E. Hecht an Max Horkheimer, 01.03.1947; 1 Brief von Ernest S. Hediger an Max Horkheimer, 02.09.1940; 2 Briefe zwischen Agnes Heilbut und Max Horkheimer, 18.07.1938,; 7 Briefe zwischen Eduard Heimann und Max Horkheimer, 1936-1939; 1 Brief von Fritz Hein an Max Horkheimer, 14.06.1949; 2 Briefe zwischen Walter Heinemann und Max Horkheimer, 15.02.1945, 12.03.1945; 2 Briefe zwischen Philipp Heller und Max Horkheimer, 16.09.1944, 09.10.1944; 1 Brief von Max Horkheimer an Hellmann, 23.03.1939; 4 Briefe zwischen L. E. Hellmann und Max Horkheimer, 1939; 4 Briefe zwischen P. A. Hemerijk und Max Horkheimer, 1936-1937, 03.02.1936; 5 Briefe zwischen Carl G. Hempel und Max Horkheimer, 1939-1941; 1 Lebenslauf von Hans Henning; 1 Brief von Else Henschke an Max Horkheimer, 24.07.1940; 1 Briefe von Isi Hepner an Max Horkheimer, 23.01.1941; 1 Brief von Leo Löwenthal an Isi Hepner, 03.02.1941; 1 Brief von Gertrude E. Herman anMax Horkheimer, 10.12.1949; 1 Brief von Wilhelm G. Hertz an Max Horkheimer, 29.09.1938; 2 Briefe zwischen Wieland Herzfelde und der National City Bank of New York, 28.11.1939, 30.11.1939; 2 Briefe zwischen Karl Hess und Max Horkheimer, 14.08.1935, 25.10.1934; 4 Briefe zwischen Karl Heymann und Max Horkheimer, 1947, 1949; 19 Briefe zwischen Robert Hilb und Max Horkheimer, 1937-1941; 2 Briefe zwischen Joseph Rosenthal und Max Horkheimer, 12.11.1940, 25.10.1940; 2 Briefe zwischen Henry Church und Max Horkheimer, 14.12.1940, 18.12.1940; 1 Brief von Ellen Hilb an Max Horkheimer, 11.03.1938; 1 Brief von Emil Hilb an Max Horkheimer, 15.04.1939; 2 Briefe zwischen Yoshitaro Hirano und Max Horkheimer, 1936, 23.01.1936; 2 Briefe von Max Horkheimer an Hirsch, 1938; 1 Brief von Arnold Hirsch an Max Horkheimer, 14.07.1949; 4 Briefe zwischen Charles Hirsch und Max Horkheimer, 1937, 1938; 2 Briefe von Max Horkheimer an Ernst Hirsch, Oktober 1938; 1 Brief von Max Horkheimer an Julius Hirsch, 24.02.1942;

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57 Briefe zwischen Katharina von Hirsch und Max Horkheimer, 1935-1941; 5 Briefe zwischen dem United States Committee for the Care of European Children New York und Max Horkheimer, 1940; 2 Briefe von Alfred Haas an Felix Weil, 1940; 1 Brief von Max Horkheimer an M. A. Warren, 18.07.1940; 1 Brief von Max Horkheimer an den American Consulate General London, 05.07.1940; 1 Brief von Juilette Favez an Katharina von Hirsch, 31.05.1937; 46 Briefe zwischen Trude Hirschberg und Max Horkheimer, 1934-1945; 4 Briefe zwischen Leo Hochberger und Max Horkheimer, 1938-1946, 26.04.1946; 1 Brief von Max Horkheimer an George L. Warren; 1 Lebenslauf von Siegfried Höxter; 4 Briefe zwischen Paul Hofmann und Max Horkheimer, 1937, 14.10.1937; 4 Briefe zwischen Albert Hofstadter und Max Horkheimer, 1941, 27.10.1941; 1 Brief von Max Horkheimer an Hajo Holborn, 03.05.1940; 2 Briefe zwischen W. Holden und Max Horkheimer, 01.11.1938, 09.12.1938; 1 Brief von Max Horkheimer an Ernest V. Hollis, 04.06.1940;