Rowan County - Kentucky in the World War, 1917-1919

Publication included the names and addresses of men from Rowan County inducted into military service by the local draft board during the First World War

Cerebellar tDCS: A Novel Approach to Augment Language Treatment Post-stroke

People with post-stroke aphasia may have some degree of chronic deficit for which current rehabilitative treatments are variably effective. Accumulating evidence suggests that transcranial direct current stimulation (tDCS) may be useful for enhancing the effects of behavioral aphasia treatment. However, it remains unclear which brain regions should be stimulated to optimize effects on language recovery. Here, we report on the therapeutic potential of right cerebellar tDCS in augmenting language recovery in SMY, who sustained bilateral MCA infarct resulting in aphasia and anarthria. We investigated the effects of 15 sessions of anodal cerebellar tDCS coupled with spelling therapy using a randomized, double-blind, sham controlled within-subject crossover trial. We also investigated changes in functional connectivity using resting state functional magnetic resonance imaging before and 2 months post-treatment. Both anodal and sham treatments resulted in improved spelling to dictation for trained and untrained words immediately after and 2 months post-treatment. However, there was greater improvement with tDCS than with sham, especially for untrained words. Further, generalization to written picture naming was only noted during tDCS but not with sham. The resting state functional connectivity data indicate that improvement in spelling was accompanied by an increase in cerebro-cerebellar network connectivity. These results highlight the therapeutic potential of right cerebellar tDCS to augment spelling therapy in an individual with large bilateral chronic strokes

Rh discrepancies caused by variable reactivity of partial and weak D types with different serologic techniques

RhD discrepancies between current and historical results are problematic to resolve. The investigation of 10 discrepancies is reported here. STUDY DESIGN: Samples identified were those that reacted by automated gel technology and were negative with an FDA-approved reagent. Reactivity with a commercially available panel of monoclonal anti-D was performed. Genomic DNA was evaluated for RHD alleles with multiplex RHD exon polymerase chain reaction (PCR), weak D PCR-restriction fragment length polymorphism, and RHD exon 5 and 7 sequence analyses. RESULTS: The monoclonal anti-D panel identified two samples as DVa, yet possessed the DAR allele. Two weak D Type 1 samples had a similar monoclonal anti-D profile, but only one reacted directly with one of two FDA-approved anti-D. Only two of four weak D Type 2 samples reacted directly with one FDA-approved anti-D, and their D epitope profile differed. CONCLUSIONS: The monoclonal anti-D reagents did not distinguish between partial and weak D Types 1 and 2. Weak D Types 1 and 2 do not show consistent reactivity with FDA-approved reagents and technology. To limit anti-D alloimmunization, it is recommended that samples yielding an immediate-spin tube test cutoff score of not more than 5 (i.e., ≤1+ agglutination) or a score of not more than 8 (i.e., ≤2+ hemagglutination) by gel technology be considered D– for transfusion and Rh immune globulin prophylaxis. That tube test anti-D reagents react poorly with some Weak D Types 1 and 2 red cells is problematic, inasmuch as they should be considered D+ for transfusion and prenatal care. Molecular tests that distinguish common partial and Weak D types provide the solution to resolving D antigen discrepancies.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75591/1/j.1537-2995.2007.01551.x.pd

Recalibrating and Combining Ensemble Predictions

The “model output statistics” (MOS) approach has long been used in forecasting to correct systematic errors of numerical models and to predict quantities not included in the model (Glahn and Lowry 1972). The MOS procedure is based on capturing the statistical relation between model outputs and observations and, in its simplest form, consists of a linear regression between these quantities. In theory, this procedure optimally calibrates the model forecast and provides reliable forecasts. In practice, the regression parameters must be estimated from data. In seasonal forecasting, forecast histories are short, and skill is modest. Both factors lead to substantial sampling errors in the estimates. This work examines two problems where sampling error affects the reliability of regression-calibrated forecasts and provides solutions based on two “penalized” methods: ridge regression and lasso regression (Hoerl and Kennard 1988; Tibshirani 1996). The first problem comes from the observation that, even in a bivariate setting, ordinary least squares estimates lead to unreliable forecasts. The second problem arises in the context of multivariate MOS and is that common methods of predictor selection lead to negative skill and unreliable forecasts

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Reply to a comment on the article: Conditional Exceedance Probabilities. Monthly Weather Review 135 (2010), 363–372 (available in Academic Commons at http://dx.doi.org/10.7916/D8PK0G2S)

Validation and application of an ensemble Kalman filter in the Selat Pauh of Singapore

The effectiveness of an ensemble Kalman filter (EnKF) is assessed in the Selat Pauh of Singapore using observing system simulation experiment. Perfect model experiments are first considered. The perfect model experiments examine the EnKF in reducing the initial perturbations with no further errors than those in the initial conditions. Current velocity at 15 observational sites from the true ocean is assimilated every hour into the false ocean. While EnKF reduces the initial velocity error during the first few hours, it fails after one tidal cycle (approximately 12 h) due to the rapid convergence of the ensemble members. Successively, errors are introduced in the surface wind forcing. A random perturbation ε [epsilon] is applied independently to each ensemble member to maintain the ensemble spread. The assimilation results showed that the success of EnKF depends critically on the presence of ε [epsilon], yet it is not sensitive to the magnitude of ε [epsilon], at least in the range of weak to moderate perturbations. Although all experiments were made with EnKF only, the results could be applicable in general to all other ensemble-based data assimilation methods.United States. Office of Naval ResearchSingapore. National Research FoundationSingapore-MIT Alliance for Research and Technology CenterSingapore-MIT Alliance. Center for Environmental Sensing and Monitorin

Promoting Community Engagement: A Campus-Wide Approach to Applied Learning

Applied learning pedagogy has gained momentum in recent decades. Simultaneously, a call for universities to respond to the needs of local and global communities has prompted a focus on community engagement in higher education. The purpose of this paper is to describe the development of the Applied Learning and Teaching Community (ALTC), an initiative designed to further integrate applied learning—including community engagement— into the identity, practice, and teaching ethos of the university. With a focus on sustainability, the ALTC has evolved into an expansive model that involves faculty, staff, students, and other supporters across campus. A discussion of the ALTC’s relevance in the context of current trends in higher education is included

Blood group terminology 2004: from the International Society of Blood Transfusion committee on terminology for red cell surface antigens

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73460/1/j.1423-0410.2004.00564.x.pd

You Want Me to Do What? Teach a Studio Class to Seventy Students?

Amidst widespread recognition of the need to enhance the student experience, built environment educators are facing increased pressure on their time and resources for teaching. Studio-based education, in which students apply ideas to a real site, has been seen as key to a well-rounded education in the built environment and planning professions. At the same time, traditional methods require a high degree of tutor time to be spent with students, which is increasingly impractical given resource constraints and increased class sizes. Drawing on research exploring the challenges posed by sustainable development and participatory processes in ecological planning, a core second year studio-based module at The University of Manchester was re-designed so as to meet these challenges. Key elements of the redesign include: use of the hands-on toolkit, Ketso, for creative thinking and synthesis of ideas within and across groups; mapping and layered spatial analysis; simulating aspects of community consultation, without directly contacting the community; effective use of Graduate Teaching Assistant time in giving feedback and assistance to students; and including an individual reflective learning journal as part of the assessment. The innovations trialled in this module enable an interactive studio experience with a high degree of feedback to be created for large classes. Feedback from students has been very positive. The innovations in the module re-design described in this paper jointly won the 2011 Excellence in Teaching Prize of the Association of European Schools of Planning (AESOP)