906 research outputs found

    The Treasury-Fed Accord : a new narrative account

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    Treasury-Federal Reserve Accord

    Clinical Thermoradiotherapy

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    A clinical trial is currently in progress to determine the efficacy of combined fractions of hyperthermia and radiation. The protocol consists of two parts. First, four fractions of microwave-induced hyperthermia (45.0° ± 0.5°C) are applied for 1 1/2 hours to the volume encompassing the tumor, each separated by 72 hours. After a one-week rest, a second series of four fractions is administered again at 72- hour intervals. Each fraction consists of a 400 rad dose of radiation followed within 20 minutes by hyperthermia (42.5 ± 0.5°C) for 1 1/2 hours. Currently, we have treated 62 patients with 82 fields with a mean follow-up time of six months to date. Total regression was observed in 60% of all cases, and partial regression in 33%; no response was seen in only 6% of all those treated. Five local and three marginal recurrences have been observed. This paper discusses details of response based on site, histology, and classification

    Nanopype: A modular and scalable nanopore data processing pipeline

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    Long-read third-generation nanopore sequencing enables researchers to now address a range of questions that are difficult to tackle with short read approaches. The rapidly expanding user base and continuously increasing throughput have sparked the development of a growing number of specialized analysis tools. However, streamlined processing of nanopore datasets using reproducible and transparent workflows is still lacking. Here we present Nanopype, a nanopore data processing pipeline that integrates a diverse set of established bioinformatics software while maintaining consistent and standardized output formats. Seamless integration into compute cluster environments makes the framework suitable for high-throughput applications. As a result, Nanopype facilitates comparability of nanopore data analysis workflows and thereby should enhance the reproducibility of biological insights

    A configurative synthesis of evidence for fear in the criminal decision-making process

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    This paper reviews what previous research has found on the role of fear and other associated feelings in the criminal decision-making process, and the techniques that might plausibly amplify such emotions so as to reduce or disrupt intent. To this aim, we conduct a systematic review of the offender decision-making literature (23 studies), incorporating a qualitative synthesis of the role of fear in the criminal decision-making process. The results section is formed of six parts based on dominant themes identified in our eligible studies, namely evidence of fear in offender decision-making, the presumed sources of fear, variation in levels and/or the effect of fear across offenders, the specific role of fear across aspects of the crime process (before, during, after), the results of fear and offender fear management processes. We conclude with a discussion of the implication for crime prevention policies

    Using Advanced Instructional Technology To Enhance Pesticide Applicator Training Programs

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    As public concern over the use of pesticides grows, the need for properly trained applicators becomes more important

    Metamagnetism in the 2D Hubbard Model with easy axis

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    Although the Hubbard model is widely investigated, there are surprisingly few attempts to study the behavior of such a model in an external magnetic field. Using the Projector Quantum Monte Carlo technique, we show that the Hubbard model with an easy axis exhibits metamagnetic behavior if an external field is turned on. For the case of intermediate correlations strength UU, we observe a smooth transition from an antiferromagnetic regime to a paramagnetic phase. While the staggered magnetization will decrease linearly up to a critical field BcB_c, uniform magnetization develops only for fields higher than BcB_c.Comment: RevTeX 5 pages + 2 postscript figures (included), accepted for PRB Rapid Communication

    Superconductivity in striped and multi-Fermi-surface Hubbard models: From the cuprates to the pnictides

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    Single- and multi-band Hubbard models have been found to describe many of the complex phenomena that are observed in the cuprate and iron-based high-temperature superconductors. Simulations of these models therefore provide an ideal framework to study and understand the superconducting properties of these systems and the mechanisms responsible for them. Here we review recent dynamic cluster quantum Monte Carlo simulations of these models, which provide an unbiased view of the leading correlations in the system. In particular, we discuss what these simulations tell us about superconductivity in the homogeneous 2D single-orbital Hubbard model, and how charge stripes affect this behavior. We then describe recent simulations of a bilayer Hubbard model, which provides a simple model to study the type and nature of pairing in systems with multiple Fermi surfaces such as the iron-based superconductors.Comment: Published as part of Superstripes 2011 (Rome) conference proceeding
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