Septic shock and systemic inflammatory response syndrome patients' CD15+ granulocytes were subjected to global transcriptional profiling (SIRS)

2021 ◽  
Author(s):  
Marni Mack ◽  
Argo Easston
Keyword(s):  
Gene Expression ◽  
United States ◽  
Septic Shock ◽  
Immune Cells ◽  
Transcriptional Profiling ◽  
The United States ◽  
Transcriptional Level ◽  
Data Set ◽  
Transcriptional Alterations ◽  
Level I

In the United States, sepsis, the body's response to infection in a typically sterile circulation, is a leading causeof death (1). To assess the primary transcriptional alterations associated with each illness state, I utilized amicroarray data set from a cohort of thirtyone individuals with septic shock or systemic inflammatory responsesyndrome (2). At the transcriptional level, I discovered that the granulocytes of patients with SIRS weresimilar to those of patients with septic shock. SIRS showed a “intermediate” gene expression state betweenthat of control patients and that of septic shock patients for numerous genes expressed in the granulocyte. Thediscovery of the most differentially expressed genes in the granulocytic immune cells of patients with septicshock might aid the development of new therapies or diagnostics for an illness with a 14.7 percent to 29.9% inhospitaldeath rate despite decades of study (1).

scholarly journals Global transcriptional profiling of CD15+ granulocytes from patients with septic shock and systemic inflammatory response syndrome (SIRS).

2019 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Septic Shock ◽  
Systemic Inflammatory Response Syndrome ◽  
Inflammatory Response ◽  
Microarray Data ◽  
Immune Cells ◽  
Transcriptional Profiling ◽  
The United States ◽  
Systemic Inflammatory Response ◽  
Data Set ◽  
Transcriptional Changes

Sepsis, the body’s reaction to infection in what is normally a sterile bloodstream, is a major cause of mortality in the United States (1). I used a microarray data set from a cohort of thirty-one patients with septic shock or systemic inflammatory response syndrome (2) to determine the major transcriptional changes associated with each disease state. I found that globally, the granulocytes of patients with SIRS resembled that of patients with septic shock at the level of transcription. For many genes expressed in the granulocyte, SIRS represented an “intermediate” gene expression state between that of control patients and those of patients with septic shock. The identification of the most differentially expressed genes in the granulocytic immune cells of patients with septic shock can facilitate the development of novel therapeutics or diagnostics for a condition that, despite decades of research, possesses a 14.7% to 29.9% in-hospital mortality rate (1).

scholarly journals Altitude and risk of sudden unexpected infant death in the United States

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Richard Johnston ◽  
Xiaohan Yan ◽  
Tatiana M. Anderson ◽  
Edwin A. Mitchell
Keyword(s):  
United States ◽  
Logistic Regression ◽  
Infant Death ◽  
The United States ◽  
Sudden Infant ◽  
Data Set ◽  
Live Births ◽  
Sudden Unexpected Infant Death ◽  
Increased Risk ◽  
Unexpected Infant Death

AbstractThe effect of altitude on the risk of sudden infant death syndrome (SIDS) has been reported previously, but with conflicting findings. We aimed to examine whether the risk of sudden unexpected infant death (SUID) varies with altitude in the United States. Data from the Centers for Disease Control and Prevention (CDC)’s Cohort Linked Birth/Infant Death Data Set for births between 2005 and 2010 were examined. County of birth was used to estimate altitude. Logistic regression and Generalized Additive Model (GAM) were used, adjusting for year, mother’s race, Hispanic origin, marital status, age, education and smoking, father’s age and race, number of prenatal visits, plurality, live birth order, and infant’s sex, birthweight and gestation. There were 25,305,778 live births over the 6-year study period. The total number of deaths from SUID in this period were 23,673 (rate = 0.94/1000 live births). In the logistic regression model there was a small, but statistically significant, increased risk of SUID associated with birth at > 8000 feet compared with < 6000 feet (aOR = 1.93; 95% CI 1.00–3.71). The GAM showed a similar increased risk over 8000 feet, but this was not statistically significant. Only 9245 (0.037%) of mothers gave birth at > 8000 feet during the study period and 10 deaths (0.042%) were attributed to SUID. The number of SUID deaths at this altitude in the United States is very small (10 deaths in 6 years).

scholarly journals Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0

2014 ◽  
Vol 7 (5) ◽  
pp. 2477-2484 ◽  
Author(s):  
J. C. Kathilankal ◽  
T. L. O'Halloran ◽  
A. Schmidt ◽  
C. V. Hanson ◽  
B. E. Law
Keyword(s):  
United States ◽  
Elevation Angle ◽  
Model Performance ◽  
Diffuse Radiation ◽  
The United States ◽  
Polynomial Model ◽  
Coefficient Of Determination ◽  
Data Set ◽  
Cubic Polynomial ◽  
Solar Elevation Angle

Abstract. A semi-parametric PAR diffuse radiation model was developed using commonly measured climatic variables from 108 site-years of data from 17 AmeriFlux sites. The model has a logistic form and improves upon previous efforts using a larger data set and physically viable climate variables as predictors, including relative humidity, clearness index, surface albedo and solar elevation angle. Model performance was evaluated by comparison with a simple cubic polynomial model developed for the PAR spectral range. The logistic model outperformed the polynomial model with an improved coefficient of determination and slope relative to measured data (logistic: R2 = 0.76; slope = 0.76; cubic: R2 = 0.73; slope = 0.72), making this the most robust PAR-partitioning model for the United States currently available.

Racial Sentiment and Public Support for Arming Teachers with Guns in the United States

2021 ◽  
pp. 215336872110389
Author(s):  
Andrew J. Baranauskas
Keyword(s):  
United States ◽  
African Americans ◽  
Minority Groups ◽  
Public Support ◽  
The United States ◽  
Data Set ◽  
Racial Issue ◽  
Racial Resentment ◽  
Nationally Representative ◽  
Negative Feelings

In the effort to prevent school shootings in the United States, policies that aim to arm teachers with guns have received considerable attention. Recent research on public support for these policies finds that African Americans are substantially less likely to support them, indicating that support for arming teachers is a racial issue. Given the racialized nature of support for punitive crime policies in the United States, it is possible that racial sentiment shapes support for arming teachers as well. This study aims to determine the association between two types of racial sentiment—explicit negative feelings toward racial/ethnic minority groups and racial resentment—and support for arming teachers using a nationally representative data set. While explicit negative feelings toward African Americans and Hispanics are not associated with support for arming teachers, those with racial resentments are significantly more likely to support arming teachers. Racial resentment also weakens the effect of other variables found to be associated with support for arming teachers, including conservative ideology and economic pessimism. Implications for policy and research are discussed.

scholarly journals Identification and Management of Sepsis in the Interventional Radiology Patient

2017 ◽  
Vol 1 ◽  
pp. 3
Author(s):  
Jacqueline Murtha ◽  
Vinit Khanna ◽  
Talia Sasson ◽  
Devang Butani
Keyword(s):  
United States ◽  
Health Care ◽  
Septic Shock ◽  
Interventional Radiology ◽  
Hospital Setting ◽  
The United States ◽  
Clinical Aspects ◽  
Inhospital Mortality ◽  
United States Population ◽  
Hospital Acquired

Sepsis is frequently encountered in the hospital setting and can be community-acquired, health-care-associated, or hospital-acquired. The annual incidence of sepsis in the United States population ranges from 300 to 1031 per 100,000 and is increasing by 13% annually. There is an associated inhospital mortality of 10% for sepsis and >40% for septic shock. Interventional radiology is frequently called on to treat patients with sepsis, and in rarer circumstances, interventional radiologists themselves may cause sepsis. Thus, it is essential for interventional radiologists to be able to identify and manage septic patients to reduce sepsis-related morbidity and mortality. The purpose of this paper is to outline procedures most likely to cause sepsis and delineate important clinical aspects of identifying and managing septic patients.

Legislative Accomplishment and Policy Issue Substance

2013 ◽  
Author(s):  
John S. Lapinski
Keyword(s):  
United States ◽  
Substance P ◽  
Political Behavior ◽  
Policy Issue ◽  
The United States ◽  
Legislative Behavior ◽  
Aggregate Level ◽  
Data Set ◽  
Proper Understanding ◽  
Specific Policy

This chapter introduces a new measure of legislative accomplishment. To understand lawmaking requires that one move beyond studying political behavior in Congress alone and beyond a complete empirical reliance on roll call votes. Moreover, legislative behavior and legislative outputs must be studied in tandem to gain a proper understanding of the lawmaking process in the United States. Although the idea of studying important lawmaking across time is not controversial, constructing an appropriate measure is not a trivial exercise. The chapter constructs a comprehensive lawmaking data set that provides measures of legislative accomplishment at the aggregate level as well as by specific policy issue areas for a 118-year period. It also explains the construction of Congress-by-Congress measures of legislative accomplishment, including measures broken down by the policy-coding schema.

Vendor Master Data Cleaning – a Project for Accounting Class

2021 ◽  
Author(s):  
Sonia Gantman ◽  
Lorrie Metzger
Keyword(s):  
United States ◽  
Problem Solving ◽  
Data Analytics ◽  
Data Cleaning ◽  
The United States ◽  
Public University ◽  
Data Set ◽  
Initial Analysis ◽  
Master Data

We present a data cleaning project that utilizes real vendor master data of a large public university in the United States. Our main objective when developing this case was to identify the areas where students need guidance in order to apply a problem solving approach to the project. This includes initial analysis of the data and the task at hand, planning for cleaning and testing activities, executing this plan, and communicating the results in a written report. We provide a data set with 29K records of vendor master data, and a subset of the same data with 800 records. The assignment has two parts - the planning and the actual cleaning, each with its own deliverable. It can be used in many different courses and completed with almost any data analytics software. We provide suggested solutions and detailed solution notes for Excel and for Alteryx Designer.

How to Qualify for Cabinet

2019 ◽  
pp. 155-180
Author(s):  
Claire Annesley ◽  
Karen Beckwith ◽  
Susan Franceschet
Keyword(s):  
United States ◽  
United Kingdom ◽  
Race And Ethnicity ◽  
The United States ◽  
Data Set ◽  
Demographic Group ◽  
The United Kingdom

Chapter 7 shows that aspirant ministers can qualify for cabinet appointment by meeting representational criteria, defined as membership in a politically relevant political, territorial, or socio-demographic group deemed important for legitimizing the cabinet team. In all country cases, a subset of ministrables qualify for appointment to cabinet on the basis of representational criteria, and all countries in the book’s data set employ representational criteria in defining the ministerial eligibility pool, even as specific representational criteria vary in number and content across cases. The chapter shows that regional representation is a strong prescriptive criterion in five countries (Australia, Canada, Germany, Spain, and the United Kingdom), and that race and ethnicity are prescribed as representational categories in Canada and the United States. The chapter finds that gender is the only representational category that appears across all countries, yet the magnitude of women’s inclusion varies significantly.

scholarly journals Why Do States Intervene in the Elections of Others? The Role of Incumbent–Opposition Divisions

2020 ◽  
pp. 1-22 ◽  
Author(s):  
Johannes Bubeck ◽  
Kai Jäger ◽  
Nikolay Marinov ◽  
Federico Nanni
Keyword(s):  
United States ◽  
Original Data ◽  
The United States ◽  
Polarization Measurement ◽  
Point Of View ◽  
Democratic Process ◽  
Data Set ◽  
Policy Positions ◽  
Us Government ◽  
The Government

Abstract Why do states intervene in elections abroad? This article argues that outsiders intervene when the main domestic contenders for office adopt policy positions that differ from the point of view of the outside power. It refers to the split between the government's and opposition's positions as policy polarization. Polarization between domestic political forces, rather than the degree of unfriendliness of the government in office, attracts two types of interventions: process (for or against democracy) and candidate (for or against the government) interventions. The study uses a novel, original data set to track local contenders’ policy positions. It shows that the new policy polarization measurement outperforms a number of available alternatives when it comes to explaining process and candidate interventions. The authors use this measurement to explain the behavior of the United States as an intervener in elections from 1945 to 2012. The United States is more likely to support the opposition, and the democratic process abroad, if a pro-US opposition is facing an anti-US government. It is more likely to support the government, and undermine the democratic process abroad, if a pro-US government is facing an anti-US opposition. The article also presents the results for all interveners, confirming the results from the US case.

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