scholarly journals Microeconomic Resilience and Influence on Accounting Innovation With the Polythetic Cluster Modeling Techniques in the United States

2021 ◽  
Vol 21 (2) ◽  
Keyword(s):  
United States ◽  
The United States ◽  
Cluster Modeling ◽  
Modeling Techniques

Attempted Suicide: A Multilevel Examination of Inmate Characteristics and Prison Context

2018 ◽  
Vol 45 (5) ◽  
pp. 589-611 ◽  
Author(s):  
Bryce E. Stoliker
Keyword(s):  
United States ◽  
Attempted Suicide ◽  
The United States ◽  
Health Issues ◽  
Correctional Institutions ◽  
Individual Level ◽  
Mental Health Issues ◽  
Modeling Techniques ◽  
Nationally Representative ◽  
Level Of Analysis

Correctional institutions in the United States witness higher rates of suicide compared with the general population, as well as a higher number of attempted suicides compared with completed cases. Prison research focused little attention on investigating the combined effects of inmate characteristics and prison context on suicide, with studies using only one level of analysis (prison or prisoner) and neglecting the nested nature of inmates in prisons. To extend this literature, multilevel modeling techniques were employed to investigate individual- and prison-contextual predictive patterns of attempted suicide using a nationally representative sample of 18,185 inmates in 326 prisons across the United States. Results revealed that several individual-level factors predicted odds for attempted suicide, such as inmate characteristics/demographics, prison experiences, having a serious mental illness, and symptoms of mental health issues. Some prison-contextual variables, as well as cross-level interaction effects, also significantly predicted odds for attempted suicide. Policy and research implications are discussed.

scholarly journals County-level factors influence the trajectory of Covid-19 incidence

2020 ◽  
Author(s):  
A. W. Kranjac ◽  
D. Kranjac
Keyword(s):  
United States ◽  
New York ◽  
The United States ◽  
School Closures ◽  
Health Authorities ◽  
Modeling Techniques ◽  
Public Health Authorities ◽  
Curve Modeling ◽  
Novel Coronavirus ◽  
Surrounding Areas

AbstractWith new cases of Covid-19 surging in the United States, we need to better understand how the spread of novel coronavirus varies across all segments of the population. We use hierarchical exponential growth curve modeling techniques to examine whether community social and economic characteristics uniquely influence the incidence of Covid-19 cases in the urban built environment. We show that, as of May 3, 2020, confirmed coronavirus infections are concentrated along demographic and socioeconomic lines in New York City and surrounding areas, the epicenter of the Covid-19 pandemic in the United States. Furthermore, we see evidence that, after the onset of the pandemic, timely enactment of physical distancing measures such as school closures is imperative in order to limit the extent of the coronavirus spread in the population. Public health authorities must impose nonpharmaceutical measures early on in the pandemic and consider community-level factors that associate with a greater risk of viral transmission.

Correlative microscopy in distrubuted (client/server) computing environments: tools for catalyzing the rapid dissemination of information about the cell biology of the human prostate

1995 ◽  
Vol 53 ◽  
pp. 682-683
Author(s):  
A. Hakam ◽  
J.T. Gau ◽  
M.L. Grove ◽  
B.A. Evans ◽  
M. Shuman ◽  
...  
Keyword(s):  
United States ◽  
Cell Biology ◽  
Tissue Bank ◽  
The United States ◽  
Prostate Adenocarcinoma ◽  
Correlative Microscopy ◽  
Client Server ◽  
Critical Elements ◽  
Transplant Organ

Prostate adenocarcinoma is the most common malignant tumor of men in the United States and is the third leading cause of death in men. Despite attempts at early detection, there will be 244,000 new cases and 44,000 deaths from the disease in the United States in 1995. Therapeutic progress against this disease is hindered by an incomplete understanding of prostate epithelial cell biology, the availability of human tissues for in vitro experimentation, slow dissemination of information between prostate cancer research teams and the increasing pressure to “ stretch” research dollars at the same time staff reductions are occurring.To meet these challenges, we have used the correlative microscopy (CM) and client/server (C/S) computing to increase productivity while decreasing costs. Critical elements of our program are as follows:1) Establishing the Western Pennsylvania Genitourinary (GU) Tissue Bank which includes >100 prostates from patients with prostate adenocarcinoma as well as >20 normal prostates from transplant organ donors.

Digital image acquisition, processing, and analysis in a polymer microscopy laboratory

1994 ◽  
Vol 52 ◽  
pp. 454-455
Author(s):  
Vinod K. Berry ◽  
Xiao Zhang
Keyword(s):  
United States ◽  
Image Analysis ◽  
Digital Image ◽  
Image Acquisition ◽  
Image Transmission ◽  
The United States ◽  
Quantitative Image Analysis ◽  
Quantitative Image

In recent years it became apparent that we needed to improve productivity and efficiency in the Microscopy Laboratories in GE Plastics. It was realized that digital image acquisition, archiving, processing, analysis, and transmission over a network would be the best way to achieve this goal. Also, the capabilities of quantitative image analysis, image transmission etc. available with this approach would help us to increase our efficiency. Although the advantages of digital image acquisition, processing, archiving, etc. have been described and are being practiced in many SEM, laboratories, they have not been generally applied in microscopy laboratories (TEM, Optical, SEM and others) and impact on increased productivity has not been yet exploited as well.In order to attain our objective we have acquired a SEMICAPS imaging workstation for each of the GE Plastic sites in the United States. We have integrated the workstation with the microscopes and their peripherals as shown in Figure 1.

Silence of the Land: On the Historical Irrelevance of Territory to Congressional Districting and Political Representation in the United States

2001 ◽  
Vol 15 (01) ◽  
pp. 53-87 ◽  
Author(s):  
Andrew Rehfeld
Keyword(s):  
United States ◽  
House Of Representatives ◽  
Political Representation ◽  
The United States ◽  
Representative Government ◽  
Congressional District ◽  
Congressional Districts ◽  
Communities Of Interest

Every ten years, the United States “constructs” itself politically. On a decennial basis, U.S. Congressional districts are quite literally drawn, physically constructing political representation in the House of Representatives on the basis of where one lives. Why does the United States do it this way? What justifies domicile as the sole criteria of constituency construction? These are the questions raised in this article. Contrary to many contemporary understandings of representation at the founding, I argue that there were no principled reasons for using domicile as the method of organizing for political representation. Even in 1787, the Congressional district was expected to be far too large to map onto existing communities of interest. Instead, territory should be understood as forming a habit of mind for the founders, even while it was necessary to achieve other democratic aims of representative government.

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