The Use of Representative Data Sets to Study LGBT-Parent Families: Challenges, Advantages, and Opportunities

2012 ◽  
pp. 343-356 ◽  
Author(s):  
Stephen T. Russell ◽  
Joel A. Muraco
Keyword(s):  
Data Sets ◽  
Representative Data

scholarly journals Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0181853 ◽  
Author(s):  
Der-Chiang Li ◽  
Susan C. Hu ◽  
Liang-Sian Lin ◽  
Chun-Wu Yeh
Keyword(s):  
Imbalanced Data ◽  
Data Sets ◽  
Imbalanced Data Sets ◽  
Representative Data

scholarly journals Religion and Sanitation Practices

2019 ◽  
Author(s):  
Anjali Adukia ◽  
Marcella Alsan ◽  
Kim Babiarz ◽  
Jeremy D Goldhaber-Fiebert ◽  
Lea Prince
Keyword(s):  
Infant Mortality ◽  
Fixed Effects ◽  
Data Sets ◽  
Direct Influence ◽  
Fecal Material ◽  
Representative Data ◽  
Show Evidence ◽  
Nationally Representative ◽  
Latrine Use ◽  
Religious Differences

Abstract In India, infant mortality among Hindus is higher than among Muslims, and religious differences in sanitation practices have been cited as a contributing factor. To explore whether religion itself is associated with differences in sanitation practices, this study compares sanitation practices of Hindus and Muslims living in the same locations using three nationally representative data sets from India. Across all three data sets, the unconditional religion-specific gap in latrine ownership and latrine use declines by approximately two-thirds when conditioning on location characteristics or including location fixed effects. Further, the estimates do not show evidence of religion-specific differences in other sanitation practices, such as handwashing or observed fecal material near homes. Household sanitation practices vary substantially across areas of India, but religion itself has less direct influence when considering differences between Hindus and Muslims within the same location.

scholarly journals Selecting Representative Data Sets

10.5772/50787 ◽  
2012 ◽  
Author(s):  
Tomas Borovicka ◽  
Marcel Jirina ◽  
Pavel Kordik ◽  
Marcel Jiri
Keyword(s):  
Data Sets ◽  
Representative Data

scholarly journals Science communication scholars use more and more segmentation analyses: Can we take them to the next level?

2019 ◽  
Vol 28 (7) ◽  
pp. 854-864 ◽  
Author(s):  
Tobias Füchslin
Keyword(s):  
Variable Selection ◽  
Knowledge Production ◽  
Science Communication ◽  
Public Perceptions ◽  
Theoretical Knowledge ◽  
Data Sets ◽  
High Quality ◽  
Representative Data ◽  
Common Goals ◽  
Methodological Approaches

Science communication scholars are publishing more and more segmentation analyses as they further our understanding of different audiences and their characteristics. They follow different aims, are therefore difficult to compare and do not lend themselves to more generalisable and theoretical knowledge production. Our field has the potential to follow a demand for more systematic efforts by taking advantage of our high-quality representative data sets focusing on public perceptions of science. Beforehand, however, science communication scholars using segmentation analyses have to identify common goals and overcome a number of hurdles concerning variable selection, methodological approaches, and transparency. Ultimately, a collaborative and systematic application of segmentation analyses could result in truly relevant insights for our field.

An example of spectrum imaging used for comparison of EELS quantitative analysis techniques on Al-Li

1991 ◽  
Vol 49 ◽  
pp. 726-727
Author(s):  
John A. Hunt
Keyword(s):  
Quantitative Analysis ◽  
Large Data ◽  
Difference Spectrum ◽  
Large Data Sets ◽  
Foil Thickness ◽  
Data Sets ◽  
Analysis Techniques ◽  
Spectrum Imaging ◽  
Normal Spectrum ◽  
Electron Energy Loss

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].

Computer-aided methods for 3-D visualization of serial sections and thick biological specimens

1992 ◽  
Vol 50 (2) ◽  
pp. 1060-1061
Author(s):  
Mark Ellisman ◽  
Maryann Martone ◽  
Gabriel Soto ◽  
Eleizer Masliah ◽  
David Hessler ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Three Dimensional ◽  
Neuritic Plaque ◽  
Dimensional Structure ◽  
Data Sets ◽  
Molecular Physiology ◽  
Research Activities ◽  
Computer Aided ◽  
Dimensional Reconstruction

Structurally-oriented biologists examine cells, tissues, organelles and macromolecules in order to gain insight into cellular and molecular physiology by relating structure to function. The understanding of these structures can be greatly enhanced by the use of techniques for the visualization and quantitative analysis of three-dimensional structure. Three projects from current research activities will be presented in order to illustrate both the present capabilities of computer aided techniques as well as their limitations and future possibilities.The first project concerns the three-dimensional reconstruction of the neuritic plaques found in the brains of patients with Alzheimer's disease. We have developed a software package “Synu” for investigation of 3D data sets which has been used in conjunction with laser confocal light microscopy to study the structure of the neuritic plaque. Tissue sections of autopsy samples from patients with Alzheimer's disease were double-labeled for tau, a cytoskeletal marker for abnormal neurites, and synaptophysin, a marker of presynaptic terminals.

Direct phase determination in electron crystallography: small organic molecules

1992 ◽  
Vol 50 (2) ◽  
pp. 1166-1167
Author(s):  
Douglas L. Dorset
Keyword(s):  
Organic Molecules ◽  
Data Sets ◽  
Temperature Structure ◽  
3D Analysis ◽  
Intensity Data ◽  
Electron Crystallography ◽  
Phase Determination ◽  
Measured Intensity ◽  
3D Data

The quantitative use of electron diffraction intensity data for the determination of crystal structures represents the pioneering achievement in the electron crystallography of organic molecules, an effort largely begun by B. K. Vainshtein and his co-workers. However, despite numerous representative structure analyses yielding results consistent with X-ray determination, this entire effort was viewed with considerable mistrust by many crystallographers. This was no doubt due to the rather high crystallographic R-factors reported for some structures and, more importantly, the failure to convince many skeptics that the measured intensity data were adequate for ab initio structure determinations.We have recently demonstrated the utility of these data sets for structure analyses by direct phase determination based on the probabilistic estimate of three- and four-phase structure invariant sums. Examples include the structure of diketopiperazine using Vainshtein's 3D data, a similar 3D analysis of the room temperature structure of thiourea, and a zonal determination of the urea structure, the latter also based on data collected by the Moscow group.

Automated cell counting of astrocytes on patterned substrates containing aliphatic and charged properties

1995 ◽  
Vol 53 ◽  
pp. 974-975
Author(s):  
W. Shain ◽  
H. Ancin ◽  
H.C. Craighead ◽  
M. Isaacson ◽  
L. Kam ◽  
...  
Keyword(s):  
Cell Culture ◽  
Cell Attachment ◽  
Culture Method ◽  
Cell Counting ◽  
Data Sets ◽  
Nuclear Staining ◽  
Double Positive ◽  
A Cell ◽  
Wafer Test ◽  
Cell Densities

Neural protheses have potential to restore nervous system functions lost by trauma or disease. Nanofabrication extends this approach to implants for stimulating and recording from single or small groups of neurons in the spinal cord and brain; however, tissue compatibility is a major limitation to their practical application. We are using a cell culture method for quantitatively measuring cell attachment to surfaces designed for nanofabricated neural prostheses.Silicon wafer test surfaces composed of 50-μm bars separated by aliphatic regions were fabricated using methods similar to a procedure described by Kleinfeld et al. Test surfaces contained either a single or double positive charge/residue. Cyanine dyes (diIC18(3)) stained the background and cell membranes (Fig 1); however, identification of individual cells at higher densities was difficult (Fig 2). Nuclear staining with acriflavine allowed discrimination of individual cells and permitted automated counting of nuclei using 3-D data sets from the confocal microscope (Fig 3). For cell attachment assays, LRM5 5 astroglial cells and astrocytes in primary cell culture were plated at increasing cell densities on test substrates, incubated for 24 hr, fixed, stained, mounted on coverslips, and imaged with a 10x objective.

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