Quantitative analysis of mass shootings and background checks, 1999–2020

2021 ◽  
pp. 78-92
Author(s):  
Alexei Anisin
Keyword(s):  
Quantitative Analysis ◽  
Mass Shootings ◽  
Background Checks

“What We Need Is Bullet Control”

2020 ◽  
pp. 432-446
Author(s):  
Selina E. M. Kerr
Keyword(s):  
Public Support ◽  
The United States ◽  
The Body ◽  
Political Climate ◽  
Mass Shootings ◽  
Background Checks ◽  
High Profile ◽  
Policy Debates ◽  
Mass Shooting ◽  
Policy Proposals

Following high-profile mass shootings in the United States, there are policy debates about gun regulation; yet, for the most part, these stall. This chapter suggests that an alternative way to frame this issue would be through “bullet control,” centering on the ammunition used. In order to inflict the greatest degree of damage possible, mass shooters tend to carry large quantities of bullets and large-capacity magazines with them. Harm-inducing bullets, such as hollow-points which penetrate certain parts of the body, have been used in previous mass shootings. Policy proposals could center on these areas to reduce harm in a mass shooting. Another regulation could focus on mandating background checks for ammunition. Interviews were conducted with six participants with knowledge of gun policies and/or gun violence prevention advocacy. Findings from interviews indicate support for these policy proposals. Discussed are ways to increase public support for these proposals via framing strategies. Also deliberated is whether the current political climate is conducive to pass legislation.

State-Level Policy Response to Mass Shootings

2020 ◽  
pp. 397-417
Author(s):  
Ramona Sue McNeal ◽  
Mary Schmeida ◽  
Lisa Dotterweich Bryan ◽  
Susan M. Kunkle
Keyword(s):  
Time Series Data ◽  
State Level ◽  
The State ◽  
Gun Control ◽  
Series Data ◽  
Mass Shootings ◽  
Cross Sectional ◽  
Background Checks ◽  
Extreme Risk ◽  
Risk Protection

Recent mass shootings including Charleston, SC; Chattanooga, TN; Chardon, OH; Virginia Tech in Blacksburg, VA; and San Bernardino, California, have resulted in public outcry for action. Nevertheless, the response at the state level following these events has varied significantly, with some states loosening gun restrictions and others adopting a variety of gun safety policies ranging from private-sale background checks to extreme risk protection orders. Why has the state-level response varied so significantly? In exploring this question, this chapter examines the influence of state-level factors on current gun control legislation. This chapter explores the level of legislative action concerning the update and/or pass new laws for the years, 2009 through 2017. Pooled cross-sectional time series data that controls for variation between states and over time is used.

Gun Regulations to Reduce Harm Caused

2021 ◽  
pp. 147-164
Keyword(s):  
Public Support ◽  
The United States ◽  
Gun Violence ◽  
Political Climate ◽  
Mass Shootings ◽  
Background Checks ◽  
Protection Orders ◽  
Extreme Risk ◽  
Risk Protection ◽  
Policy Proposals

This chapter marks the start of the final section of the book, which focuses on the landscape of gun policymaking in the United States. The intention of this chapter is to examine gun policy proposals believed to reduce incidences of mass shootings and gun violence as a whole. Gun violence prevention advocates provide policy suggestions and deliberate about their chances of gaining traction, considering estimated levels of public support and the current political climate. Discussed first of all are proposals centering on restricting the lethality of weapons (e.g., those focused on ammunition, large capacity magazines, and assault weapons). Policies centered on reducing firearm access to restricted persons are then discussed: extreme risk protection orders, safe storage laws, and universal background checks. Lastly, other miscellaneous proposals are deliberated: age restrictions, ghost guns, funding for research pertaining to guns, a licensing system for firearms, and smart gun technology.

An Improved Quantitative Image Analyser

1977 ◽  
Vol 35 ◽  
pp. 226-227
Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor
Keyword(s):  
Feature Extraction ◽  
Quantitative Analysis ◽  
Frequency Content ◽  
General Sense ◽  
Physical Measurements ◽  
Quantitative Image ◽  
Image Analyser ◽  
Automatic Methods ◽  
Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

Quantification of Silica Uptake by Alveolar Macrophages - An Emperical Scanning Electron Microprobe Method

1982 ◽  
Vol 40 ◽  
pp. 332-333
Author(s):  
V. V. Damiano ◽  
R. P. Daniele ◽  
H. T. Tucker ◽  
J. H. Dauber
Keyword(s):  
Quantitative Analysis ◽  
Alveolar Macrophages ◽  
Bulk Sample ◽  
Silica Particles ◽  
Empirical Method ◽  
Phagocytic Cells ◽  
Calibration Standards ◽  
X Ray ◽  
Accurate Quantitative Analysis ◽  
Scanning Electron

An important example of intracellular particles is encountered in silicosis where alveolar macrophages ingest inspired silica particles. The quantitation of the silica uptake by these cells may be a potentially useful method for monitoring silica exposure. Accurate quantitative analysis of ingested silica by phagocytic cells is difficult because the particles are frequently small, irregularly shaped and cannot be visualized within the cells. Semiquantitative methods which make use of particles of known size, shape and composition as calibration standards may be the most direct and simplest approach to undertake. The present paper describes an empirical method in which glass microspheres were used as a model to show how the ratio of the silicon Kα peak X-ray intensity from the microspheres to that of a bulk sample of the same composition correlated to the mass of the microsphere contained within the cell. Irregular shaped silica particles were also analyzed and a calibration curve was generated from these data.

Lateral resolution of the electron microbeam analysis

1978 ◽  
Vol 36 (1) ◽  
pp. 542-543
Author(s):  
H.J. Dudek
Keyword(s):  
Quantitative Analysis ◽  
Depth Resolution ◽  
Lateral Resolution ◽  
Cylindrical Particle ◽  
Correction Procedure ◽  
X Ray ◽  
Element Concentrations ◽  
Microbeam Analysis ◽  
The Matrix

The chemical inhomogenities in modern materials such as fibers, phases and inclusions, often have diameters in the region of one micrometer. Using electron microbeam analysis for the determination of the element concentrations one has to know the smallest possible diameter of such regions for a given accuracy of the quantitative analysis.In th is paper the correction procedure for the quantitative electron microbeam analysis is extended to a spacial problem to determine the smallest possible measurements of a cylindrical particle P of high D (depth resolution) and diameter L (lateral resolution) embeded in a matrix M and which has to be analysed quantitative with the accuracy q. The mathematical accounts lead to the following form of the characteristic x-ray intens ity of the element i of a particle P embeded in the matrix M in relation to the intensity of a standard S

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].

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