1,065 research outputs found

    Celiac Disease: Recognizing and Managing a Multisystem Disorder

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    Celiac disease (CD) is a common autoimmune disease with increasing prevalence. Reliable screening is available, but CD is largely underdiagnosed due to underrecognition of atypical presentations. While the mainstay of treatment for both typical and atypical presentations of CD is a gluten free diet, important considerations must be made in the management of extraintestinal CD presentations. Clinicians with awareness of CD’s various presentations will enable prompt diagnosis and proper management, which are vital in resolving distressing symptoms and in preventing irreversible complications

    NUR 154.02 Meeting Human Needs Through the Use of Pharmacological Products I

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    NUR 152.01: Principles of Nursing Practice

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    NUR 151.01: Drug Administration and Calculation

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    EXTENDING TEXT2ALM WITH XCLINGO

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    This research project goal is to achieve explainable automatic text understanding and reasoning for simple English narratives focused on the use of action verbs. text2alm is a system developed at UNO in the scope of a master thesis by Craig Olson. It takes a narrative in English and processes it into a logic program under answer set semantics. This program is then processed with the state-of-the-art answer set solver clingo, which finds an answer set for the program that represents entities and events occurring within the narrative as well as encodes state of affairs at various points of the narrative timeline. In other words, text2alm can be seen as an information retrieval system that converts unstructured information present explicitly and implicitly in English narratives into structured form supported by the predefined vocabulary of relations within text2alm. tExplain, a system designed at UNO within MS project by Adrian Dorsey, extends text2alm by replacing answer set solver clingo with system xclingo. xclingo is a novel tool in answer set solving that is capable of providing human readable explanations to inferences performed by clingo. In comparison to text2alm, tExplain produces explanations for extracted information from narratives. We improve the tExplain system by allowing automation of creating narratives, queries, logic programs, and xclingo output. In this work, we target rigorous evaluation of tExplain capabilities by applying it on the Facebook dataset bAbI. This dataset contains simple narratives which text2alm targets. These narratives are annotated with questions, answers, and explanations. The quality of the explanations generated by tExplain are evaluated against bAbI ’s annotations. This evaluation will also lead to extensions of tExplain capabilities and better understanding of methodological use of system xclingo

    A review on the effects of special teaching methods 2 lesson to teacher candidates in terms of their performances

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    AbstractIn recent years, teachers have a big responsibility to actualize the aims of education. In teaching learning environment teachers’ roles are changing continuously and becoming more important. The developments in education technologies do not reduce the importance of teacher role for figuring out the needs of our age but a significant change has been done (Sezgin, 2003). In order to reach this aim; teachers, who are responsible for guiding, to the next generations and having a big impact on figuring the future, should gain necessary qualifications. It is assessed that; students’ attainments in terms of teaching performance during the application period within Special Teaching Methods 2 lesson, is for Elementary Math's Teaching 4th year 7th term students

    Providing Access to Government Information: A Survey of the Federal Depository Library Community

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    The mission of the Federal Depository Library Program (FDLP) is to provide free, permanent public access to federal government information now and for future generations. In the 20th century, depository libraries received tangible materials, in mostly print format, creating what is now often called the “legacy collection.” Currently the majority of government information is distributed in a born-digital format, sometimes with multiple avenues to online information through government agencies themselves and repositories collecting and digitizing materials. How are Federal Depository Libraries curating their government information collections, both tangible and digital? This study investigated what depository libraries are doing regarding collection development and how they are dealing with permanent access issues, weeding, and preservation. The goal of this article is to uncover issues that need to be addressed by the government information community as a whole, since libraries in the FDLP collaborate in order to provide citizens access to government information. Findings from this survey include a community focused on preserving born-digital information and a commitment to the FDLP mission of free, permanent public access to government information
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