54,496 research outputs found
Short fiction set in Maine by author Ann Hood.
No full textShort fiction set in Maine by author Ann Hood
Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke
No full textGenetic factors have been implicated in stroke risk, but few replicated associations have been reported. We conducted a genome-wide association study (GWAS) for ischemic stroke and its subtypes in 3,548 affected individuals and 5,972 controls, all of European ancestry. Replication of potential signals was performed in 5,859 affected individuals and 6,281 controls. We replicated previous associations for cardioembolic stroke near PITX2 and ZFHX3 and for large vessel stroke at a 9p21 locus. We identified a new association for large vessel stroke within HDAC9 (encoding histone deacetylase 9) on chromosome 7p21.1 (including further replication in an additional 735 affected individuals and 28,583 controls) (rs11984041; combined P = 1.87 × 10<sup>−11</sup>; odds ratio (OR) = 1.42, 95% confidence interval (CI) = 1.28–1.57). All four loci exhibited evidence for heterogeneity of effect across the stroke subtypes, with some and possibly all affecting risk for only one subtype. This suggests distinct genetic architectures for different stroke subtypes
Ann Arbor, Michigan: An Historical Analysis Of Board Of Education Decisions On School Desegregation Issues.
No full textPurpose of the Study. This study focused on the history of the Ann Arbor Public School System's desegregation and school attendance decisions, from the Brown decision to the present. The purpose was to write an historical analysis of Board of Education decisions regarding racial balance and imbalance in Ann Arbor Public Schools. Specifically, the Board of Education, the administration, and the community were studied concerning four historically relevant decisions: (1) The closing of Jones School in 1965; (2) New building sites in the years 1965-1976; (A) Bryant/Clinton; (B) Logan/Northside; (3) Employment practices; i.e., hiring of and placement of minority staff, 1969-1978; and (4) The busing of North Campus children, 1970-1978. Methodology. Background information on school desegregation in three perspectives was first presented. This included historical information, research findings on methods and results of school desegregation, and a study of local Michigan districts which have undergone court-enforced desegregation. Four questions were developed to provide a focus for historical analysis of the Ann Arbor Board of Education's decisions: (1) What was the situational environment in which each decision was made by the Board of Education? (2) How did the community react to the Board of Education's decision? (3) Was the effect of each decision more or less segregation in the Ann Arbor Public Schools? (4) Did choices or options exist to the Board of Education at the time of the decision which would have possibly resulted in a less segregated situation? Findings. In all instances of new school openings, more rather than less segregation followed the Board's decision. The Jones School closing was found to be the last major decision that led to purposeful desegregation. Placement of academic staff, in particular, added to the inbalance in several elementary schools. In the 1977-78 school year, the Michigan State Board of Education categorized Ann Arbor's school system as racially imbalanced, and requested action on the part of local authorities to rectify this situation within 90 days. The Ann Arbor Board's progress toward the achievement of voluntary desegregation has included the appointment of a citizens' committee. The author concludes that the Board's voluntary commitment to take action to improve racial balance is a wise and proper course of action, since possible implications of past actions could be used in a court case against the system.PhDBilingual educationEducationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/127544/2/8025652.pd
I remember living at Seabrook, 1945-1953
No full textIn this "I remember" memoir, Ann Mariko Lowe recalls life at Seabrook, which introduced her to many new experiences, including Halloween traditions. She remembers the living conditions in the dorms at Seabrook, where there was little privacy, and poor facilities. Afterwards, her family moved to the apartments, where they were able to form close bonds with other Japanese families. This was especially helpful with expenses. Ann also played basketball at the Community Center, attended Bible study classes, and was a student at Seabrook School. The Seabrook Educational and Cultural Center has been soliciting current and past residents of Seabrook Farms for an "I remember" project. Residents are asked to create narratives regarding their experiences at Seabrook Farms. These memories help preserve the history and multi-cultural heritage of Seabrook Farms
Women as Physicians
No full text"The following communication by Ann Preston, M.D., Professor of Physiology and Hygiene in the Woman's Medical College of Pennsylvania, appeared in the "Medical and Surgical Reporter" of May 4th, 1867. Through its forcible utterances, the lamented author "being dead yet speaketh;" and it has been deemed proper in the present epoch of the College history to republish it, in this form, with the accompanying information." Ann Preston was a member of the first graduating class of the Woman's Medical College of Pennsylvania in 1852. She became the first woman dean of the College in 1866
Double-frequency stator core vibration in large two-pole turbogenerators
No full textThis Thesis describes the development of a model to represent the variation with load and excitation of double-frequency stator core vibration in large two-pole turbogenerators. The model has a dual purpose, serving first to investigate causes of this effect; secondly to provide predictions suitable for an on-line monitoring scheme.Electromagnetic forces at the stator bofe are represented as tooth-tip forces formed from the integral of Maxwell stress over a slot pitch. Conversion to core-back vibration is by means of transfer coefficients derived from structural finite-element analyses of isolated core models.A simple model, in which the rotor and stator are considered infinitely permeable with sinusoidally distributed sheets of surface current, is used to demonstrate the primary cause of the variation of core vibration: a load-dependent circumferential stress distribution combining with the radial distribution at phase displacements dependent on excitation.This model is insufficient for prediction purposes, hence a more powerful model is developed to take into account slotting and magnetic saturation by means of regions of finite permeability, anisotropic in the slotted zones. The windings are represented by Fourier series of current sheets. This model shows the importance of magnetic saturation; also that the variation of vibration with active load is dependent on rotor slotting.Comparison of predicted vibration levels with test measurements from three machines shows that the absolute level of core-back vibration is principally dependent on the support structure. Two of the effects in evidence are examined in a qualitative study
Hybrid Models for Automatic Speech Recognition: a Comparison of Classical ANN and Kernel Based Methods
No full textSupport Vector Machines (SVMs) are state-of-the-art methods for machine learning but share with more classical Artificial Neural Networks (ANNs) the difficulty of their application to input patterns of non-fixed dimension. This is the case in Automatic Speech Recognition (ASR), in which the duration of the speech utterances is variable. In this paper we have recalled the hybrid (ANN/HMM) solutions provided in the past for ANNs and applied them to SVMs performing a comparison between them. We have experimentally assessed both hybrid systems with respect to the standard HMM-based ASR system, for several noisy environments. On the one hand, the ANN/HMM system provides better results than the HMM-based system. On the other, the results achieved by the SVM/HMM system are slightly lower than those of the HMM system. Nevertheless, such a results are encouraging due to the current limitations of the SVM/HMM system
Mary Ann Cox Index: Royal Society Collection
No full textBurton-Wood: in a series of letters, by a lady (Mrs. - Cox nee Wight), London (printed for the author by H.D.Steel) 1783, vol.11
(octovo vol, leather bound)
Enclosed: note The book Burtonwood was written by the mother of
Mary Ann Cox who ran the first coach from Hobart to Launceston.
It was passed on to me by her grand-daughter Miss Dora Clerk of Malahide.
I also am a grand-daughter of Mrs. Cox. Joan Harvey
(John Edward Cox m. Mary Ann Halls
V.D.L. 1821 J.E.C. started Hobart-Launceston coach) - (note - Mrs.
Harvey's identification of the author of the volume was based on family
tradition although not confirmed - no details are known of John Edward
Cox's parents)
Poems by C(harles) Best c 1847 - 1849
Includes poems to Miss Wilmot (Georgiana Wilmot, - Mrs. C. Butler)
and Mary Wilmot.
Enclosed: note by Joan Harvey
Article on Mrs. Mary Ann Cox 1950.
A pioneer career woman (on coach service between Hobart - Launceston)
from "Woman's Day" Aug. 21, 1950 (news clipping)
R.S. 14
Researching Alaska with Ann Fienup-Riordan, Willie Hensley, and Katie Ringsmuth
No full textAnn Fienup-Riordan, Willie Hensley, and Katie Ringsmuth share insights on how to connect, research, and uncover Alaska's past. Their individual interests, projects, approaches, and challenges researching Alaska will be highlighted. Katie Ringsmuth: National Park Service historian (UAA History Department); Ann Fienup-Riordan: anthropologist, author, and oral historian; Willie Hensley: Inupiaq activist, leader, author (UAA College of Business)
Application of back-propagation artificial neural network (ANN) to predict crystallite size and band gap energy of ZnO quantum dots
No full textHerein, the crystallite size and band gap energy of zinc oxide (ZnO) quantum dots were predicted using artificial neural network (ANN). Three input factors including reagent ratio, growth time, and growth temperature were examined with respect to crystallite size and band gap energy as response factors. The generated results from neural network model were then compared with the experimental results. Experimental crystallite size and band gap energy of ZnO quantum dots were measured from TEM images and absorbance spectra, respectively. The Levenberg-Marquardt (LM) algorithm was used as the learning algorithm for the ANN model. The performance of the ANN model was then assessed through mean square error (MSE) and regression values. Based on the results, the ANN modelling results are in good agreement with the experimental data. © 2017 Author(s)
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