820 resultados para 1011


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Letter from Richard Baxter Foster to his wife Lucy on October 17, 1865 at Texas En route to Ft. McIntosh

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Born on September 10, 1917, in Jefferson City, Harriet Robinson is a child of two Lincoln University alumni. Robinson and her siblings also attended Lincoln Laboratory School and the University, but she was unable to finish her degree due to the Depression. Robinson worked in retail until she entered a federal re-training program. In 1969 she was hired at Lincoln University as a switchboard operator, and later worked as a library assistant at Page Library. For twenty-three years, Robinson helped students and faculty with their research, retiring in 1992. While at Page Library, she also had other responsibilities, such as keeping the Lincoln Collection. She recognized the historical importance of objects, salvaging things such as the “Blue Tiger” Café Window. Robinson has assisted people working on graduate and doctoral degrees, and several books have been dedicated to her. Her knowledge of Lincoln University is extensive, and many are fortunate that she has always shared her passion for history.

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11th President 1938-1956

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Presenter, student and teacher evaluation forms for the 9th Annual Lincoln University Sonia Kovalevsky Math for Girls Day program flyer on April 25, 2014.

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Gaines studied History and Education at Lincoln and was frequently seen in Memorial Hall chatting with his mentors in the History Department, Drs. W. Sherman Savage and Lorenzo Greene about his future after graduation.

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Two weeks later, Judge Dinwiddie issued his decision in favor of Canada and the University. Houston was expecting this and appealed to the Missouri Supreme Court.

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Recent scholarship suggests that religion should be conceived in terms of embodied social practices as much as (if not more than) a set of systematic beliefs. Such accounts of religion, I will argue, raise problems that have not been adequately treated in current discussion of the role of religion in liberal society.

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What happened to Gaines? There are many ideas ranging from being murdered or lynched, being bribed to run away, or disappearing on his own to get away from the pressure of celebrity. That final possibility was brought about by Dr. Greene, who claimed that a man who sounded like Gaines had phoned him while in Mexico and wished to meet. The man never showed up. A recent theory is one of where Lloyd was kidnapped by opponents of the Gaines court decision who took him to Jefferson City and lynched him in McClung Park. All of these theories are speculation and the fact remains that Lloyd Gaines’ whereabouts are a mystery to this day.

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National Poetry Month is in full effect at Inman E. Page Library (April 2016)! Get ready to write, perform, and dialogue about the written word. We look forward to hearing your voice on the microphone.

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1953-1954 Miss Homecoming

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Mice generated by disrupting the clotting factor IX gene exhibit severe bleeding disorder and closely resemble the phenotype seen in hemophilia B patients. Here we demonstrate that a single intraportal injection of a recombinant adeno-associated virus (AAV) vector encoding canine factor IX cDNA under the control of a liver-specific enhancer/promoter leads to a long-term and complete correction of the bleeding disorder. High level expression of up to 15–20 μg/ml of canine factor IX was detected in the plasma of mice injected with 5.6 × 1011 particles of an AAV vector for >5 months. The activated partial thromboplastin time of the treated mice was fully corrected to higher than normal levels. Liver-specific expression of canine factor IX was confirmed by immunofluorescence staining, and secreted factor IX protein was identified in the mouse plasma by Western blotting. All treated mice survived the tail clip test without difficulty. Thus, a single intraportal injection of a recombinant adeno-associated virus vector expressing factor IX successfully cured the bleeding disorder of hemophilia B mice, proving the feasibility of using AAV-based vectors for liver-targeted gene therapy of genetic diseases.

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Inclui notas explicativas, bibliográficas e bibliografia

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In many parts of the country, hydraulic fracturing has brought energy development onto people’s doorsteps. Efforts by local governments to employ traditional land use mechanisms to study and mitigate some of the impacts of these latest intrusions have erupted into battles over the scope of statewide agencies’ control. Forgotten in this fray are many renewable energy resources. As a general rule, they are not subject to statewide oversight, and consequently renewable energy providers must navigate the myriad of siting and permitting requirements of local jurisdictions. For several years, scholars have urged more statewide renewable energy siting procedures to level the playing field. California is the national leader in renewable energy deployment, yet its statewide energy commission does not have jurisdiction over the siting of photovoltaic solar or wind energy plants. This article explores when statewide siting is beneficial and when it may be contraindicated, making a case for consolidation of all large-scale siting under the purview of California’s “superagency,” the California Energy Commission.

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This dissertation introduces an approach to generate tests to test fail-safe behavior for web applications. We apply the approach to a commercial web application. We build models for both behavioral and mitigation requirements. We create mitigation tests from an existing functional black box test suite by determining failure type and points of failure in the test suite and weaving required mitigation based on weaving rules to generate a test suite that tests proper mitigation of failures. A genetic algorithm (GA) is used to determine points of failure and type of failure that needs to be tested. Mitigation test paths are woven into the behavioral test at the point of failure based on failure specific weaving rules. A simulator was developed to evaluate choice of parameters for the genetic algorithm. We showed how to tune the fitness function and performed tuning experiments for GA to determine what values to use for exploration weight and prospecting weight. We found that higher defect densities make prospecting and mining more successful, while lower mitigation defect densities need more exploration. We compare efficiency and effectiveness of the approach. First, the GA approach is compared to random selection. The results show that the GA performance was better than random selection and that the approach was robust when the search space increased. Second, we compare the GA against four coverage criteria. The results of comparison show that test requirements generated by a genetic algorithm (GA) are more efficient than three of the four coverage criteria for large search spaces. They are equally effective. For small search spaces, the genetic algorithm is less effective than three of the four coverage criteria. The fourth coverage criteria is too weak and unable to find all defects in almost all cases. We also present a large case study of a mortgage system at one of our industrial partners and show how we formalize the approach. We evaluate the use of a GA to create test requirements. The evaluation includes choice of initial population, multiplicity of runs and a discussion of the cost of evaluating fitness. Finally, we build a selective regression testing approach based on types of changes (add, delete, or modify) that could occur in the behavioral model, the fault model, the mitigation models, the weaving rules, and the state-event matrix. We provide a systematic method by showing the formalization steps for each type of change to the various models.

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Given a territory composed of basic geographical units, the delineation of local labour market areas (LLMAs) can be seen as a problem in which those units are grouped subject to multiple constraints. In previous research, standard genetic algorithms were not able to find valid solutions, and a specific evolutionary algorithm was developed. The inclusion of multiple ad hoc operators allowed the algorithm to find better solutions than those of a widely-used greedy method. However, the percentage of invalid solutions was still very high. In this paper we improve that evolutionary algorithm through the inclusion of (i) a reparation process, that allows every invalid individual to fulfil the constraints and contribute to the evolution, and (ii) a hillclimbing optimisation procedure for each generated individual by means of an appropriate reassignment of some of its constituent units. We compare the results of both techniques against the previous results and a greedy method.