Antimicrobial Susceptibility Trends Observed in Urinary Pathogens Obtained From New York State

International guidelines recommend using local susceptibility data to direct empiric therapy for acute uncomplicated cystitis. We evaluated outpatient urinary isolate susceptibility trends in New York State. Nitrofurantoin had the lowest resistance prevalence whereas trimethoprim-sulfamethoxazole and fluoroquinolones had higher prevalences. This study highlights the need for local outpatient antimicrobial stewardship programs

The Personality Origins of Positive and Negative Partisanship

Negative partisanship describes the intense disdain for a rival political party. A growing number of political scientists in the US and beyond examine the impact of negative partisanship on citizens' political behavior, asserting the notion that negative partisanship exerts a strong influence, either on its own or in combination with positive partisanship. Yet we know little about the psychological origins of negative and positive partisanship: Which personality traits are associated with high levels of negative partisanship, and do they differ from the ones that have been linked to positive partisanship? In this article, I address these questions. Utilizing a sample of US adults and a sample of Swedish adults, I examine the influence of prominent personality traits - including Authoritarianism, Social Dominance Orientation, the Need for Closure, and the Big Five - on strong negative and positive partisanship. I demonstrate that the personality origins of positive and negative partisanship differ not just across the two samples but also across partisans on the left and on the right. I conclude the article with implications for research on polarization and a plea for more comparative work on (positive and negative) partisanship

Scenario - Based Training in Law Enforcement

The discovery of the value and obstacles of scenario-based training for law enforcement from a phenomenological perspective was pursued from a grounded theory. The lack of empirical data and research guided the use of the grounded theory methodology, which attempts through individual professional interviews to discover the values and obstacles of scenario-based training for law enforcement. Clarifications and comprehensive definitions of the constituent elements characterizing a scenario-based training methodology are presented while concurrently identifying the intricate interdependencies between its qualitative measurement and associated cost factors. The exploration of implementing scenario-based training was conducted through personal interviews of criminal justice practitioners with significant experience in leadership and training positions who were knowledgeable about the training challenges. The data collected from these practitioners were analyzed qualitatively, and themes and patterns from the transcribed interviews were identified. Participant responses to research questions upheld underlying assumptions that scenario-based training is preferred. Benefits such as knowledge retention and obstacles such as cost and time have been identified, preventing scenario-based training from becoming a primary learning methodology. It was discovered that further research is necessary to identify solutions to the obstacles identified in the study of scenario-based training in law enforcement

The Association of Relief Status of the Farm Operators in South Dakota with the Size of Farms Operated and with Various Personal Characteristics of the Farm Operators

The purpose of this thesis is to determine the extent the relief status of the farm operator in South Dakota may be associated with various sizes of farms maintained. The author offers this particular study as one that has a decided bearing upon the relief situation in South Dakota 1934 to 1936 as that problem was decreased or augmented by the size of farm. The problem of relief, in the past discussed as poverty and pauperism, has been considered essentially a social problem. Poverty has been thought and written of as a pathological social condition, although few sociological students have considered the problem entirely apart from the economic field. Social and economic students of today are discussing the problem as a joint responsibility. This thesis shows the relationship of the sociological factor, poverty, as determined by the relief status of the South Dakota farmer, and the economic factor, size of farm operated

Spurious Shear in Weak Lensing with LSST

The complete 10-year survey from the Large Synoptic Survey Telescope (LSST) will image $\sim$ 20,000 square degrees of sky in six filter bands every few nights, bringing the final survey depth to $r\sim27.5$, with over 4 billion well measured galaxies. To take full advantage of this unprecedented statistical power, the systematic errors associated with weak lensing measurements need to be controlled to a level similar to the statistical errors. This work is the first attempt to quantitatively estimate the absolute level and statistical properties of the systematic errors on weak lensing shear measurements due to the most important physical effects in the LSST system via high fidelity ray-tracing simulations. We identify and isolate the different sources of algorithm-independent, \textit{additive} systematic errors on shear measurements for LSST and predict their impact on the final cosmic shear measurements using conventional weak lensing analysis techniques. We find that the main source of the errors comes from an inability to adequately characterise the atmospheric point spread function (PSF) due to its high frequency spatial variation on angular scales smaller than $\sim10'$ in the single short exposures, which propagates into a spurious shear correlation function at the $10^{-4}$--$10^{-3}$ level on these scales. With the large multi-epoch dataset that will be acquired by LSST, the stochastic errors average out, bringing the final spurious shear correlation function to a level very close to the statistical errors. Our results imply that the cosmological constraints from LSST will not be severely limited by these algorithm-independent, additive systematic effects.Comment: 22 pages, 12 figures, accepted by MNRA

Advanced Conducting Project

Part I. The Renaissance Era Haec Dies by William Byrd Sicut Cervus by Giovanni Pierluigi da Palestrina El Grillo by Josquin des PrezPart II. The Baroque Era Lauda Jerusalem by Antonio VivaldiPart III. The Classical Era Regina Coeli, KV 276 by Wolfgang Amadeus MozartPart IV. The Romantic Era The Bluebird by Charles V. Stanford Os Justi by Anton BrucknerPart V. Contemporary Music Selections Sleep by Eric Whitacre Sure On This Shining Night by Morten Lauridsen Good Night, Dear Heart by Dan Forrest Ev\u27ry Time I Feel the Spirit arranged by Moses Hogan