31,126 research outputs found
An annotated bibliography of materials for the enrichment of a fifth grade social studies program dealing with the study of cities in the United States.
Thesis (Ed.M.)--Boston Universit
Distribution and Biology of the Sphecine Wasps of Michigan (Hymenoptera: Sphecidae: Sphecinae)
Biological information and distribution maps are provided for the 26 species of thread-waisted wasps that occur in Michigan. Podium luctuosum is a new state record. Sixty percent of the eastern North America sphecine fauna is represented in Michigan
PadChest: A large chest x-ray image dataset with multi-label annotated reports
We present a labeled large-scale, high resolution chest x-ray dataset for the
automated exploration of medical images along with their associated reports.
This dataset includes more than 160,000 images obtained from 67,000 patients
that were interpreted and reported by radiologists at Hospital San Juan
Hospital (Spain) from 2009 to 2017, covering six different position views and
additional information on image acquisition and patient demography. The reports
were labeled with 174 different radiographic findings, 19 differential
diagnoses and 104 anatomic locations organized as a hierarchical taxonomy and
mapped onto standard Unified Medical Language System (UMLS) terminology. Of
these reports, 27% were manually annotated by trained physicians and the
remaining set was labeled using a supervised method based on a recurrent neural
network with attention mechanisms. The labels generated were then validated in
an independent test set achieving a 0.93 Micro-F1 score. To the best of our
knowledge, this is one of the largest public chest x-ray database suitable for
training supervised models concerning radiographs, and the first to contain
radiographic reports in Spanish. The PadChest dataset can be downloaded from
http://bimcv.cipf.es/bimcv-projects/padchest/
An Annotated List of the Spittlebugs of Michigan (Homoptera: Cercopidae)
Excerpt: Representatives of the family Cercopidae are commonly known as spittlebugs because the nymphs cover themselves with saliva-like frothy masses composed of bubbles of air trapped by motions of the abdomen in fluids discharged from the alimentary canal. Spittle protects nymphs from desiccation, but they are able to abandon it for brief periods while migrating to new feeding sites or to other host plants where new masses are produced. Gas exchange by nymphs immersed in spittle is accomplished through spiraculae situated in a protective chamber formed on the ventral side of the abdomen by extended tergites
In-State Tuition for Undocumented Students and the DREAM Act
Outlines federal legislation to allow illegal immigrants who arrived as children at least five years earlier to apply for conditional legal status and qualify for in-state college tuition and federal financial aid. Explores opposition to Utah's 2002 law
Special Libraries, January 1929
Volume 20, Issue 1https://scholarworks.sjsu.edu/sla_sl_1929/1000/thumbnail.jp
Observations on the Biology of the Oak Twig Pruner, \u3ci\u3eElaphidionoides Parallelus,\u3c/i\u3e (Coleoptera: Cerambycidae) in Michigan
(excerpt)
The oak twig pruner, Elaphidionoides parallelus (Newman) (Coleoptera: Cerambycidae) is rather common in southern Michigan where it attacks living oaks and other hardwoods. The damage it inflicts is rarely serious, but it may be considered a pest insect if only for the nuisance it creates for those who must clean up the often numerous small branches pruned from street, lawn, and park trees
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
In patients with coronary artery stenoses of intermediate severity, the
functional significance needs to be determined. Fractional flow reserve (FFR)
measurement, performed during invasive coronary angiography (ICA), is most
often used in clinical practice. To reduce the number of ICA procedures, we
present a method for automatic identification of patients with functionally
significant coronary artery stenoses, employing deep learning analysis of the
left ventricle (LV) myocardium in rest coronary CT angiography (CCTA). The
study includes consecutively acquired CCTA scans of 166 patients with FFR
measurements. To identify patients with a functionally significant coronary
artery stenosis, analysis is performed in several stages. First, the LV
myocardium is segmented using a multiscale convolutional neural network (CNN).
To characterize the segmented LV myocardium, it is subsequently encoded using
unsupervised convolutional autoencoder (CAE). Thereafter, patients are
classified according to the presence of functionally significant stenosis using
an SVM classifier based on the extracted and clustered encodings. Quantitative
evaluation of LV myocardium segmentation in 20 images resulted in an average
Dice coefficient of 0.91 and an average mean absolute distance between the
segmented and reference LV boundaries of 0.7 mm. Classification of patients was
evaluated in the remaining 126 CCTA scans in 50 10-fold cross-validation
experiments and resulted in an area under the receiver operating characteristic
curve of 0.74 +- 0.02. At sensitivity levels 0.60, 0.70 and 0.80, the
corresponding specificity was 0.77, 0.71 and 0.59, respectively. The results
demonstrate that automatic analysis of the LV myocardium in a single CCTA scan
acquired at rest, without assessment of the anatomy of the coronary arteries,
can be used to identify patients with functionally significant coronary artery
stenosis.Comment: This paper was submitted in April 2017 and accepted in November 2017
for publication in Medical Image Analysis. Please cite as: Zreik et al.,
Medical Image Analysis, 2018, vol. 44, pp. 72-8
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