Missing Records: Holes in Background Check System Allow Illegal Buyers to Get Guns

This report takes a look at the state of the background check system in the wake of the most lethal gun crime in American history -- one with direct relevance to the troubles with the background check system. An illegal buyer, Seung-Hui Cho, was able to pass a background check because his data was missing from the system. He purchased two firearms which he used to kill 32 people and wound 29 others at Virginia Tech University. In this report, we conclude that the background check system is better and more accurate than five years ago, but still deeply flawed, particularly in certain areas like mental health disqualifications. Dangerous holes in the system remain because states have not adequately completed the important tasks of collecting and automating all of the records necessary to disqualify illegal gun buyers from passing a check to obtain a firearm. On the positive side, the records of those who have committed felony crimes or have directed violence toward women have shown significant improvement. On the negative side, it is still virtually impossible to stop a person who has been involuntarily committed to a mental institution from passing a background check and buying a gun

Recent KTEV Results

Preliminary KTEV results are presented based on the 1997 data set, and include an improved measurement of Re(e'/e), CPT tests, and precise measurements of Tau_S and Delta M.Comment: Proceedings for Lepton Photon 200

The effects of latent variables in the development of comorbidity among common mental disorders

Background: Although numerous studies have examined the role of latent predispositions to internalizing and externalizing disorders in the structure of comorbidity among common mental disorders, none examined latent predispositions in predicting development of comorbidity. Methods: A novel method was used to study the role of latent variables in the development of comorbidity among lifetime DSM-IV disorders in the National Comorbidity Surveys. Broad preliminary findings are briefly presented to describe the method. The method used survival analysis to estimate time-lagged associations among 18 lifetime DSM-IV anxiety, mood, behavior, and substance disorders. A novel estimation approach examined the extent to which these predictive associations could be explained by latent canonical variables representing internalizing and externalizing disorders. Results: Consistently significant positive associations were found between temporally primary and secondary disorders. Within-domain time-lagged associations were generally stronger than between-domain associations. The vast majority of associations were explained by a model that assumed mediating effects of latent internalizing and externalizing variables, although the complexity of this model differed across samples. A number of intriguing residual associations emerged that warrant further investigation. Conclusions: The good fit of the canonical model suggests that common causal pathways account for most comorbidity among the disorders considered. These common pathways should be the focus of future research on the development of comorbidity. However, the existence of several important residual associations shows that more is involved than simple mediation. The method developed to carry out these analyses provides a unique way to pinpoint these significant residual associations for subsequent focused study. Depression and Anxiety, 2011. (c) 2011 Wiley-Liss, Inc

Searching for Sexual Identity in a Homophobic Society : Hunger of Memory and Pocho

To begin speaking of sexual identity, whether heterosexual or homosexual,\ud assumes speaker and listener alike share the same definitions. This,\ud however, is not always the case, and because of this, we must formulate a\ud definition that differentiates the gay Latino from the gay in the dominant\ud society, create a working literary framework that standardizes the reading\ud of the gay characters in Chicano literature, and use Richard Rodriguez???s\ud Hunger of Memory and Antonio Villarreal???s Pocho to test the framework\ud and show how each protagonist must fit into two homophobic cultures.This is a proceeding from the 28th Annual Conference of the National Association for Chicana and Chicano\ud Studies Annual Conference, Apr 1st, 200

Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ

Scattertext is an open source tool for visualizing linguistic variation between document categories in a language-independent way. The tool presents a scatterplot, where each axis corresponds to the rank-frequency a term occurs in a category of documents. Through a tie-breaking strategy, the tool is able to display thousands of visible term-representing points and find space to legibly label hundreds of them. Scattertext also lends itself to a query-based visualization of how the use of terms with similar embeddings differs between document categories, as well as a visualization for comparing the importance scores of bag-of-words features to univariate metrics.Comment: ACL 2017 Demos. 6 pages, 5 figures. See the Githup repo https://github.com/JasonKessler/scattertext for source code and documentatio

The Impact of Covid-19 on Future Higher-Age Mortality

Covid-19 has predominantly affected mortality at high ages. It kills by inflaming and clogging the air sacs in the lungs, depriving the body of oxygen ‒ inducing hypoxia ‒ which closes down essential organs, in particular the heart, kidneys and liver, and causes blood clots (which can lead to stroke or pulmonary embolism) and neurological malfunction. Evidence from different countries points to the fact that people who die from Covid-19 are often, but not always, much less healthy than the average for their age group. This is true for England & Wales – the two countries we focus on in this study. The implication is that the years of life lost through early death are less than the average for each age group, with how much less being a source of considerable debate. We argue that many of those who die from coronavirus would have died anyway in the relatively near future due to their existing frailties or co-morbidities. We demonstrate how to capture this link to poorer-than-average health using a model in which individual deaths are ‘accelerated’ ahead of schedule due to Covid-19. The model structure and its parameterization build on the observation that Covid-19 mortality by age is approximately proportional to all-cause mortality. This, in combination with current predictions of total deaths, results in the important conclusion that, everything else being equal, the impact of Covid-19 on the mortality rates of the surviving population will be very modest. Specifically, the degree of anti-selection is likely to be very small, since the life expectancy of survivors does not increase by a significant amount over pre-pandemic levels. We also analyze the degree to which Covid-19 mortality varies with socio-economic status. Headline statistics suggest that the most deprived groups have been disproportionately affected by Covid-19. However, once we control for regional differences in mortality rates, Covid-19 deaths in both the most and least deprived groups are also proportional to the all-cause mortality of these groups. However, the groups in between have approximately 10-15% lower Covid-19 deaths compared with their all-cause mortality. We argue that useful lessons about the potential pattern of accelerated deaths from Covid-19 can be drawn from examining deaths from respiratory diseases, especially at different age ranges. We also argue that it is possible to draw useful lessons about volatility spikes in Covid-19 deaths from examining past seasonal flu epidemics. However, there is an important difference. Whereas the spikes in seasonal flu increase with age, our finding that Covid-19 death rates are approximately proportional to all-cause mortality suggests that any spike in Covid-19 mortality in percentage terms would be similar across all age ranges. Finally, we discuss some of the indirect consequences for future mortality of the pandemic and the ‘lockdown’ measures governments have imposed to contain it. For example, there is evidence that some surviving patients at all ages who needed intensive care could end up with a new impairment, such as organ damage, which will reduce their life expectancy. There is also evidence that many people in lockdown did not seek a timely medical assessment for a potential new illness, such as cancer, or deferred seeking treatment for an existing serious illness, with the consequence that non-Covid-19-related mortality rates could increase in future. Self-isolation during lockdown has contributed to an increase in alcohol and drug consumption by some people which might, in turn, reduce their life expectancy. If another consequence of the pandemic is a recession and/or an acceleration in job automation, resulting in long-term unemployment, then this could lead to so-called ‘deaths of despair’ in future. Other people, by contrast, might permanently change their social behaviour or seek treatments that delay the impact or onset of age-related diseases, one of the primary factors that make people more susceptible to the virus – both of which could have the effect of increasing their life expectancy. It is, however, too early to quantify these possibilities, although it is conceivable that these indirect consequences could have a bigger impact on future average life expectancy than the direct consequences measured by the accelerated deaths model

Eisenhower Statue

Every day thousands of students walk across the Gettysburg College campus. They are distracted by thinking about class, or homework, or the latest happenings in their social lives. Whether or not they think about it daily the students are aware of the historical place in which they are present, the battlefields which surround the campus and the Civil War re-enactors who are reminders of the historical significance of this area. But what is much less obvious to the students is that on their walks to and from classes and to meals or to check their mail they pass what is referred to as “hidden history.” This history is hidden in plain sight, photographs or paintings, plaques, and statues, all of these objects help to tell the story of Gettysburg College. The people in the past and the events that took place on campus, have helped to shape the college of today. That is why these people and events have been commemorated in some form on campus, but the majority of these objects are seen in passing, but never really observed by students. Once a statue or painting is researched the story behind it unfolds, and a little more about the campus is revealed. The story of when, why, and what it has meant to the campus community is important when researching the history in plain sight. An example of “hidden history” on the campus is the Eisenhower statue adjacent to the Dwight D. Eisenhower House, at 300 Carlisle Street. [excerpt] Course Information: Course Title: HIST 300: Historical Method Academic Term: Spring 2006 Course Instructor: Dr. Michael J. Birkner \u2772 Hidden in Plain Sight is a collection of student papers on objects that are hidden in plain sight around the Gettysburg College campus. Topics range from the Glatfelter Hall gargoyles to the statue of Eisenhower and from historical markers to athletic accomplishments. You can download the paper in pdf format and click View Photo to see the image in greater detail.https://cupola.gettysburg.edu/hiddenpapers/1019/thumbnail.jp