5 resultados para Organization of R

em DigitalCommons@University of Nebraska - Lincoln


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Oocysts of Eimeria funduli were studied by transmission electron microscopy in naturally-infected livers of the Gulf killifish, Fundulus grandis. Tissues were cryo-processed because membranous structures in the oocyst appear to hinder routine fixation and embedment. The oocyst wall (about 25 nm thick) was adjacent to the host cell and consisted of an outer membrane that limited the host cell cytoplasm and an inner membrane separated from the outer membrane by a narrow space. In some specimens, dense material was applied to the inner face of the inner membrane. Individual sporocysts were surrounded by a membranous "veil" (about 25 nm thick) that consisted of two unit membranes. Sporopodia, projections of the sporocyst wall, supported the veil. The sporocyst wall (130-150 nm thick) consisted of two layers, a thin electron-lucent outer layer (about 10 nm thick) and a thick electron dense inner layer (about 130 nm thick). Depending on the plane of section, the inner layer had transverse striations with periods of 3 to 4 nm or 12 to 15 nm. A narrow fissure, broadest at the anterior pole of the sporocyst, extended about one-third the length of the sporocyst wall. The posterior pole of the sporocyst was characterized by a bulbous swelling. Although this swelling resembled a Stieda body in light microscopic preparations, ultrastructurally, the swelling was a knoblike thickening in the sporocyst wall and did not plug a gap in this wall

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The teacher-librarian and organization of private secondary school libraries in Ondo West Local Government Area of Ondo State was the focus of the study. A structured questionnaire was the instrument used for data collection. Copies of questionnaires were administered to staff of six school libraries surveyed. The study revealed that none of the staff were professionally qualified, which resulted in poor and haphazard organization of the resources in all the schools surveyed. Recommendations were made to improve library services, including pr

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Previous studies of the Social Gospel movement have acknowledged the fact that Social Gospelers were involved in multiple social reform movements during the Gilded Age and into the Progressive Era. However, most of these studies have failed to explain how the reform experiences of the Social Gospelers contributed to the development of the Social Gospel. The Social Gospelers’ ideas regarding the need to transform society and their strategies for doing so were largely a result of their personal experiences as reformers and their collaboration with other reformers. The knowledge and insight gained from interaction with a variety of reform methods played a vital role in the development of the ideology and theology of the Social Gospel. George Howard Gibson is exemplary of the connections between the Social Gospel movement and several other social reform movements of the time. He was involved in the Temperance movement, was a member of both the Prohibition Party and the People’s Party, and co-founded a Christian socialist cooperative colony. His writings illustrate the formation of his identity as a Social Gospeler as well as his attempts to find an organization through which to realize the kingdom of God on earth. Failure to achieve the changes he desired via prohibition encouraged him to broaden his reform goals. Like many Midwestern Social Gospelers Gibson believed he had found “God’s Party” in the People’s Party, but he rejected reform via the political system once the Populists restricted their attention to the silver issue and fused with the Democratic Party. Yet his involvement with the People’s Party demonstrates the attraction many Social Gospelers had to the reforms proposed in the Omaha Platform of 1892 as well as to the party’s use of revivalistic language and emphasis on producerism and brotherhood. Gibson’s experimentation with a variety of ways to achieve the kingdom of God on earth provides new insight into the experiences and contributions of lay Social Gospelers. Adviser: Kenneth J. Winkle

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Most authors struggle to pick a title that adequately conveys all of the material covered in a book. When I first saw Applied Spatial Data Analysis with R, I expected a review of spatial statistical models and their applications in packages (libraries) from the CRAN site of R. The authors’ title is not misleading, but I was very pleasantly surprised by how deep the word “applied” is here. The first half of the book essentially covers how R handles spatial data. To some statisticians this may be boring. Do you want, or need, to know the difference between S3 and S4 classes, how spatial objects in R are organized, and how various methods work on the spatial objects? A few years ago I would have said “no,” especially to the “want” part. Just let me slap my EXCEL spreadsheet into R and run some spatial functions on it. Unfortunately, the world is not so simple, and ultimately we want to minimize effort to get all of our spatial analyses accomplished. The first half of this book certainly convinced me that some extra effort in organizing my data into certain spatial class structures makes the analysis easier and less subject to mistakes. I also admit that I found it very interesting and I learned a lot.

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Within cognitive neuroscience, computational models are designed to provide insights into the organization of behavior while adhering to neural principles. These models should provide sufficient specificity to generate novel predictions while maintaining the generality needed to capture behavior across tasks and/or time scales. This paper presents one such model, the Dynamic Field Theory (DFT) of spatial cognition, showing new simulations that provide a demonstration proof that the theory generalizes across developmental changes in performance in four tasks—the Piagetian A-not-B task, a sandbox version of the A-not-B task, a canonical spatial recall task, and a position discrimination task. Model simulations demonstrate that the DFT can accomplish both specificity—generating novel, testable predictions—and generality—spanning multiple tasks across development with a relatively simple developmental hypothesis. Critically, the DFT achieves generality across tasks and time scales with no modification to its basic structure and with a strong commitment to neural principles. The only change necessary to capture development in the model was an increase in the precision of the tuning of receptive fields as well as an increase in the precision of local excitatory interactions among neurons in the model. These small quantitative changes were sufficient to move the model through a set of quantitative and qualitative behavioral changes that span the age range from 8 months to 6 years and into adulthood. We conclude by considering how the DFT is positioned in the literature, the challenges on the horizon for our framework, and how a dynamic field approach can yield new insights into development from a computational cognitive neuroscience perspective.