What Makes Us Human?

poster abstractWhat makes us human? Is it something innate within us, perhaps in our souls, if we even have them? Or are we determined by biology and genetics? It is increasingly clear that we cannot simply reduce humanity to the false dichotomies illustrated in antiquated arguments such as nature vs. nurture. Throughout history, the Cartesian mind-body divide has fueled a schism between understandings of what makes us human. Our infographic dispels these false dichotomies, indicating that humans are shaped myriad elements including genetics, socio-cultural constructs, the environment, and consciousness. This infographic shows the audience some of the greatest thinkers’ philosophies and ideas regarding areas such as human biology, consciousness, and evolution. We explain three prominent thought pathways, their roots, connotations, and interdependencies on a web of human thought, mapping out genetic foundations, theories of consciousness and human nature, and socio-cultural constructs. This web of humanity shows how the many theories of what makes us human coexist and interconnect; further indicating that humanity cannot be reduced to either the biological or the intellectual. What was once viewed as a dichotomy has become an open space for examination of human nature through the many lenses that are required for our complex nature. Perhaps the historic division of science and the humanities has provided the arena for deep thought on all sides. But now, there is a space to bridge the divide, and this bridge shows us that we are niche creators founded in biology and genetics and extant in our socio-cultural constructs. We exist in intentional space unintentionally. We are human, and perpetually evolving to be

Foot Characteristics of Shod and Unshod Populations

Properly fitted footwear is important for peak athletic performance and comfort (Wakeling, Pascual, & Nigg, 2002; Wunderlich & Cavanagh, 2001). Traditionally, all footwear is designed from a single last that attempts to fit the typical adult male foot (Wunderlich & Cavanagh, 2001). However, it has been found that individuals vary in foot morphology and loading characteristics (Kouchi, 1998; Razeghi & Edward, 2002). The purpose of this study was to document foot characteristics of an unshod population, specifically Samoan, which may aid in footwear design. 116 Samoan individuals and 106 Caucasian individuals were asked to voluntarily participate in the study. Subjects were asked to stand, one foot at a time, in the 3-D scanner as the image was generated. The scanner automatically calculated 7 anthropometric measurements of the foot, including length, breadth, ball girth, instep circumference, height of medial and lateral malleoli, and heel-ankle girth. Not only was the Samoan foot found to be longer and wider than the Caucasian foot, but the shape was also markedly different. It is suggested that Samoan and Caucasian foot dimensions are not comparable when standardized to foot length

Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends

Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet searches; however ILI does not necessarily correlate with actual influenza virus infections.Influenza activity data from 2003-04 through 2007-08 were obtained from three US surveillance systems: Google Flu Trends, CDC Outpatient ILI Surveillance Network (CDC ILI Surveillance), and US Influenza Virologic Surveillance System (CDC Virus Surveillance). Pearson's correlation coefficients with 95% confidence intervals (95% CI) were calculated to compare surveillance data. An analysis was performed to investigate outlier observations and determine the extent to which they affected the correlations between surveillance data. Pearson's correlation coefficient describing Google Flu Trends and CDC Virus Surveillance over the study period was 0.72 (95% CI: 0.64, 0.79). The correlation between CDC ILI Surveillance and CDC Virus Surveillance over the same period was 0.85 (95% CI: 0.81, 0.89). Most of the outlier observations in both comparisons were from the 2003-04 influenza season. Exclusion of the outlier observations did not substantially improve the correlation between Google Flu Trends and CDC Virus Surveillance (0.82; 95% CI: 0.76, 0.87) or CDC ILI Surveillance and CDC Virus Surveillance (0.86; 95%CI: 0.82, 0.90).This analysis demonstrates that while Google Flu Trends is highly correlated with rates of ILI, it has a lower correlation with surveillance for laboratory-confirmed influenza. Most of the outlier observations occurred during the 2003-04 influenza season that was characterized by early and intense influenza activity, which potentially altered health care seeking behavior, physician testing practices, and internet search behavior

An Open, Large-Scale, Collaborative Effort to Estimate the Reproducibility of Psychological Science

Reproducibility is a defining feature of science. However, because of strong incentives for innovation and weak incentives for confirmation, direct replication is rarely practiced or published. The Reproducibility Project is an open, large-scale, collaborative effort to systematically examine the rate and predictors of reproducibility in psychological science. So far, 72 volunteer researchers from 41 institutions have organized to openly and transparently replicate studies published in three prominent psychological journals in 2008. Multiple methods will be used to evaluate the findings, calculate an empirical rate of replication, and investigate factors that predict reproducibility. Whatever the result, a better understanding of reproducibility will ultimately improve confidence in scientific methodology and findings

Severe Asthma Standard-of-Care Background Medication Reduction With Benralizumab: ANDHI in Practice Substudy

Background: The phase IIIb, randomized, parallel-group, placebo-controlled ANDHI double-blind (DB) study extended understanding of the efficacy of benralizumab for patients with severe eosinophilic asthma. Patients from ANDHI DB could join the 56-week ANDHI in Practice (IP) single-arm, open-label extension substudy. Objective: Assess potential for standard-of-care background medication reductions while maintaining asthma control with benralizumab. Methods: Following ANDHI DB completion, eligible adults were enrolled in ANDHI IP. After an 8-week run-in with benralizumab, there were 5 visits to potentially reduce background asthma medications for patients achieving and maintaining protocol-defined asthma control with benralizumab. Main outcome measures for non-oral corticosteroid (OCS)-dependent patients were the proportions with at least 1 background medication reduction (ie, lower inhaled corticosteroid dose, background medication discontinuation) and the number of adapted Global Initiative for Asthma (GINA) step reductions at end of treatment (EOT). Main outcomes for OCS-dependent patients were reductions in daily OCS dosage and proportion achieving OCS dosage of 5 mg or lower at EOT. Results: For non-OCS-dependent patients, 53.3% (n = 208 of 390) achieved at least 1 background medication reduction, increasing to 72.6% (n = 130 of 179) for patients who maintained protocol-defined asthma control at EOT. A total of 41.9% (n = 163 of 389) achieved at least 1 adapted GINA step reduction, increasing to 61.8% (n = 110 of 178) for patients with protocol-defined EOT asthma control. At ANDHI IP baseline, OCS dosages were 5 mg or lower for 40.4% (n = 40 of 99) of OCS-dependent patients. Of OCS-dependent patients, 50.5% (n = 50 of 99) eliminated OCS and 74.7% (n = 74 of 99) achieved dosages of 5 mg or lower at EOT. Conclusions: These findings demonstrate benralizumab's ability to improve asthma control, thereby allowing background medication reduction

Significant Reductions in Mortality in Hospitalized Patients with Systemic Lupus Erythematosus in Washington State from 2003 to 2011

<div><p>Background</p><p>Systemic lupus erythematosus (SLE or lupus) is an autoimmune multisystem disease. While a complete understanding of lupus’ origins, mechanisms, and progression is not yet available, a number of studies have demonstrated correlations between disease prevalence and severity, gender, and race. There have been few population based studies in the United States</p><p>Objectives</p><p>To assess temporal changes in demographics and hospital mortality of patients with lupus in Washington State from 2003 to 2011</p><p>Study Design</p><p>This study used data from the Healthcare Cost and Utilization Project (HCUP), a patient information database, and data from the Washington State census to study a group of patients in the state. Lupus hospitalizations were defined as any hospitalization with an ICD-9-CM diagnosis code for systemic lupus erythematosus. Regression analysis was used to assess the effect of calendar time on demographics and hospital outcomes.</p><p>Results</p><p>There were a total of 18,905 patients in this study with a diagnostic code for lupus. The mean age of the group was 51.5 years (95% CI: 50.6-52.3) in 2003 and 51.3 years (95% CI: 50.6-52.0) in 2011. The population was 88.6% female. Blacks were 2.8 times more likely to have a lupus hospitalization than whites when compared to the Washington population. While hospital mortality decreased during this eight year period (3.12% in 2003 to 1.28% in 2011, p=0.001) hospital length of stay remained statistically unchanged at an average of 4.9 days during that eight year period. We found a significant decrease in annual hospital mortality over the study period [odds ratio(OR): 0.92 per year, 95% CI 0.88-0.96, P<0.001]. Hospital mortality was higher in males (2.6% male death to 1.8% female death)</p><p>Conclusions</p><p>In this large group of hospitalized lupus patients in Washington, hospital length of stay remained relatively stable over time but hospital mortality decreased by over 50% over the eight year study period.</p></div