Leaders of Reform: Progressive Republicans in Kansas, 1900-1916

Robert Sherman La Forte was professor of history at the University of North Texas, where he taught for thirty years. In addition to this book, he coauthored three books on World War II history and the authorized history of the University of North Texas. With a New Foreword by Charles Delgadillo. Charles Delgadillo is lecturer in history at the California State Polytechnic University, Pomona, and Norco College, in California. He is the author of Crusader for Democracy: The Political Life of William Allen White.This Kansas Open Books title is funded by a grant from the National Endowment for the Humanities and the Andrew W. Mellon Foundation Humanities Open Book Program.In Leaders of Reform Robert Sherman La Forte examines the intricacies of shifting factions within the state majority party over a two decade period, from the Boss-Busters and political machines of the early 1900s through the formation of a new party behind Theodore Roosevelt in 1913. He discusses the motives, activities, accomplishments, and failures of the progressive Republicans. He provides excellent vignettes of major leaders such as William Allen White, Arthur Capper, Joseph L. Bristow, and Charles Curtis, as well as lesser-known characters such as Walter Roscoe Stubbs, Edward H. Hoch, and Cy Leland, Jr. In providing a detailed analysis of virtually all Kansas progressive Republican leaders during the era, La Forte has made a valuable contribution to both state and national political history

Leaders of Reform: Progressive Republicans in Kansas, 1900-1916

In Leaders of Reform Robert Sherman La Forte examines the intricacies of shifting factions within the state majority party over a two decade period, from the Boss-Busters and political machines of the early 1900s through the formation of a new party behind Theodore Roosevelt in 1913. He discusses the motives, activities, accomplishments, and failures of the progressive Republicans. He provides excellent vignettes of major leaders such as William Allen White, Arthur Capper, Joseph L. Bristow, and Charles Curtis, as well as lesser-known characters such as Walter Roscoe Stubbs, Edward H. Hoch, and Cy Leland, Jr. In providing a detailed analysis of virtually all Kansas progressive Republican leaders during the era, La Forte has made a valuable contribution to both state and national political history. Description Robert Sherman La Forte was professor of history at the University of North Texas, where he taught for thirty years. In addition to this book, he coauthored three books on World War II history and the authorized history of the University of North Texas. With a New Foreword by Charles Delgadillo. Charles Delgadillo is lecturer in history at the California State Polytechnic University, Pomona, and Norco College, in California. He is the author of Crusader for Democracy: The Political Life of William Allen White. This Kansas Open Books title is funded by a grant from the National Endowment for the Humanities and the Andrew W. Mellon Foundation Humanities Open Book Program.https://digitalcommons.pittstate.edu/kansas_open_books/1038/thumbnail.jp

Part 5: Unproven cell therapies and the commercialization of cell-based products

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Intravitreal ranibizumab and bevacizumab in combination with full-fluence verteporfin therapy and dexamethasone for exudative age-related macular degeneration.

Abstract PURPOSE: To evaluate the efficacy and safety of triple therapy with intravitreal anti-vascular-endothelial-growth-factor (VEGF) antibody, dexamethasone and verteporfin photodynamic therapy (PDT) for exudative age-related macular degeneration (AMD). METHODS: Retrospective, comparative, interventional study. Records of treatment-naïve patients who received intravitreal bevacizumab or ranibizumab in monotherapy or in combination with dexamethasone and full-fluence verteporfin PDT in triple therapy were reviewed. logMAR visual acuity, foveal thickness (FT) on optical coherence tomography, intraocular pressure and endophthalmitis occurrence were recorded. RESULTS: Sixty-one eyes were included in the triple-therapy group, 40 eyes were included in the monotherapy group. The mean follow-up was 14.1 ± 3.4 months in the triple-therapy group and 16.3 ± 4.1 months in the monotherapy group. The triple-therapy group enjoyed a lower total number of treatments (1.92 ± 0.44 vs. 3.12 ± 0.37, p < 0.001) and a longer time before first retreatment (5.4 ± 3.3 vs. 3.6 ± 2.5 months, p = 0.001). A significant improvement of visual acuity and FT was present in both groups during the 12 months following first treatment. No adverse effects were observed. CONCLUSION: The combination of intravitreal bevacizumab or ranibizumabwith dexamethasone and full-fluence PDT for exudative AMD provided visual and anatomic improvement and a good safety profile. Triple therapy may reduce the number of retreatments when compared to anti-VEGF alone

GROUP 2018 Special Issue Guest Editorial: Another 25 Years of GROUP

For over 25 years, the ACM International Conference on Supporting GroupWork (GROUP) has been and will continue to be the premier venue for research on Computer-Supported Cooperative Work,Human–Computer Interaction, Computer-Supported Collaborative Learning, and Socio-Technical Studies. The three papers in this special issue demonstrate GROUP’s continued commitment to diverse research approaches, emerging technologies, and collaborative work. We hope you enjoy these papers and, like us, look forward to another 25 years of GROUP.https://deepblue.lib.umich.edu/bitstream/2027.42/146739/1/Robert et al. 2018.pdfDescription of Robert et al. 2018.pdf : Articl

The Importance of Ordinal Information in Interpreting Number/Letter Line Data

The degree to which the ability to mark the location of numbers on a number-to-position (NP) task reflects a mental number line (MNL) representation, or a representation that supports ordered lists more generally, is yet to be resolved. Some argue that findings from linear equation modeling, often used to characterize NP task judgments, support the MNL hypothesis. Others claim that NP task judgments reflect strategic processes; while others suggest the MNL proposition could be extended to include ordered list processing more generally. Insofar as the latter two claims are supported, it would suggest a more nuanced account of the MNL hypothesis is required. To investigate these claims, 84 participants completed a NP and an alphabet-to-position task in which they marked the position of numbers/letters on a horizontal line. Of interest was whether: (1) similar judgment deviations from linearity occurred for number/letter stimuli; (2) left-to-right or right-to-left lines similarly, affected number/letter judgments; and (3) response times (RTs) differed as a function of number/letter stimuli and/or reverse/standard lines. While RTs were slower marking letter stimuli compared to number stimuli, they did not differ in the standard compared to the reverse number/letter lines. Furthermore, similar patterns of non-linear RTs were found marking stimuli on the number/letter lines, suggesting that similar strategic processes were at play. These findings suggest that a general mental representation may underlie ordered list processing and that a linear mental representation is not a unique feature of number per se. This is consistent with the hypothesis that number is supported by a representation that lends itself to processing ordered sequences in general

Concert recording 2014-04-18

[Track 01]. Piano sonata no. 5 in C minor, op. 10, no. 1. I. Allegro molto e con brio ; [Track 02]. II. Adagio molto / Ludwig van Beethoven -- [Track 03]. Nocturne in D-flat major, op. 27, no. 2 / Frederic Francois Chopin -- [Track 04]. Rhapsody in blue / George Gershwin -- [Track 05]. Happy from Despicable me 2 / Pharrell Williams -- [Track 06]. Let it go from Frozen / Kristen Anderson-Lopez, Robert Lopez -- [Track 07]. Spain / Chick Corea

Kinematics and dynamics of the east pacific rise linked to a stable, deep-mantle upwelling

Earth’s tectonic plates are generally considered to be driven largely by negative buoyancy associated with subduction of oceanic lithosphere. In this context, mid-ocean ridges (MORs) are passive plate boundaries whose divergence accommodates flow driven by subduction of oceanic slabs at trenches. We show that over the past 80 million years (My), the East Pacific Rise (EPR), Earth’s dominant MOR, has been characterized by limited ridge-perpendicular migration and persistent, asymmetric ridge accretion that are anomalous relative to other MORs. We reconstruct the subduction-related buoyancy fluxes of plates on either side of the EPR. The general expectation is that greater slab pull should correlate with faster plate motion and faster spreading at the EPR. Moreover, asymmetry in slab pull on either side of the EPR should correlate with either ridge migration or enhanced plate velocity in the direction of greater slab pull. Based on our analysis, none of the expected correlations are evident. This implies that other forces significantly contribute to EPR behavior. We explain these observations using mantle flow calculations based on globally integrated buoyancy distributions that require core-mantle boundary heat flux of up to 20 TW. The time-dependent mantle flow predictions yield a long-lived deep-seated upwelling that has its highest radial velocity under the EPR and is inferred to control its observed kinematics. The mantle-wide upwelling beneath the EPR drives horizontal components of asthenospheric flows beneath the plates that are similarly asymmetric but faster than the overlying surface plates, thereby contributing to plate motions through viscous tractions in the Pacific region

Deep Learning for Identification of Acute Illness and Facial Cues of Illness

Background: The inclusion of facial and bodily cues (clinical gestalt) in machine learning (ML) models improves the assessment of patients' health status, as shown in genetic syndromes and acute coronary syndrome. It is unknown if the inclusion of clinical gestalt improves ML-based classification of acutely ill patients. As in previous research in ML analysis of medical images, simulated or augmented data may be used to assess the usability of clinical gestalt. Objective: To assess whether a deep learning algorithm trained on a dataset of simulated and augmented facial photographs reflecting acutely ill patients can distinguish between healthy and LPS-infused, acutely ill individuals. Methods: Photographs from twenty-six volunteers whose facial features were manipulated to resemble a state of acute illness were used to extract features of illness and generate a synthetic dataset of acutely ill photographs, using a neural transfer convolutional neural network (NT-CNN) for data augmentation. Then, four distinct CNNs were trained on different parts of the facial photographs and concatenated into one final, stacked CNN which classified individuals as healthy or acutely ill. Finally, the stacked CNN was validated in an external dataset of volunteers injected with lipopolysaccharide (LPS). Results: In the external validation set, the four individual feature models distinguished acutely ill patients with sensitivities ranging from 10.5% (95% CI, 1.3–33.1% for the skin model) to 89.4% (66.9–98.7%, for the nose model). Specificity ranged from 42.1% (20.3–66.5%) for the nose model and 94.7% (73.9–99.9%) for skin. The stacked model combining all four facial features achieved an area under the receiver characteristic operating curve (AUROC) of 0.67 (0.62–0.71) and distinguished acutely ill patients with a sensitivity of 100% (82.35–100.00%) and specificity of 42.11% (20.25–66.50%). Conclusion: A deep learning algorithm trained on a synthetic, augmented dataset of facial photographs distinguished between healthy and simulated acutely ill individuals, demonstrating that synthetically generated data can be used to develop algorithms for health conditions in which large datasets are difficult to obtain. These results support the potential of facial feature analysis algorithms to support the diagnosis of acute illness

Implications of Change/Stability Patterns in Children’s Non-symbolic and Symbolic Magnitude Judgment Abilities Over One Year: A Latent Transition Analysis

Non-symbolic magnitude abilities are often claimed to support the acquisition of symbolic magnitude abilities, which, in turn, are claimed to support emerging math abilities. However, not all studies find links between non-symbolic and symbolic magnitude abilities, or between them and math ability. To investigate possible reasons for these different findings, recent research has analyzed differences in non-symbolic/symbolic magnitude abilities using latent class modeling and has identified four different magnitude ability profiles residing within the general magnitude ability distribution that were differentially related to cognitive and math abilities. These findings may help explain the different patterns of findings observed in previous research. To further investigate this possibility, we (1) attempted to replicate earlier findings, (2) determine whether magnitude ability profiles remained stable or changed over 1 year; and (3) assessed the degree to which stability/change in profiles were related to cognitive and math abilities. We used latent transition analysis to investigate stability/changes in non-symbolic and symbolic magnitude abilities of 109 5- to 6-year olds twice in 1 year. At Time 1 and 2, non-symbolic and symbolic magnitude abilities, number transcoding and single-digit addition abilities were assessed. Visuospatial working memory (VSWM), naming numbers, non-verbal IQ, basic RT was also assessed at Time 1. Analysis showed stability in one profile and changes in the three others over 1 year. VSWM and naming numbers predicted profile membership at Time 1 and 2, and profile membership predicted math abilities at both time points. The findings confirm the existence of four different non-symbolic–symbolic magnitude ability profiles; we suggest the changes over time in them potentially reflect deficit, delay, and normal math developmental pathways