A previous study by Chen demonstrates a correlation between languages that grammatically mark future events and their speakers' propensity to save, even after controlling for numerous economic and ...demographic factors. The implication is that languages which grammatically distinguish the present and the future may bias their speakers to distinguish them psychologically, leading to less future-oriented decision making. However, Chen's original analysis assumed languages are independent. This neglects the fact that languages are related, causing correlations to appear stronger than is warranted (Galton's problem). In this paper, we test the robustness of Chen's correlations to corrections for the geographic and historical relatedness of languages. While the question seems simple, the answer is complex. In general, the statistical correlation between the two variables is weaker when controlling for relatedness. When applying the strictest tests for relatedness, and when data is not aggregated across individuals, the correlation is not significant. However, the correlation did remain reasonably robust under a number of tests. We argue that any claims of synchronic patterns between cultural variables should be tested for spurious correlations, with the kinds of approaches used in this paper. However, experiments or case-studies would be more fruitful avenues for future research on this specific topic, rather than further large-scale cross-cultural correlational studies.
Acute lymphoblastic leukemia (ALL) is characterized by genetic alterations that block differentiation, promote proliferation of lymphoid precursor cells, and are important for risk stratification. ...Although ALL is less common in adolescents and young adults (AYAs) and adults than children, survival rates are inferior, and long-term prognosis for adults is poor. Thus, ALL remains a challenging disease to treat in the AYA and adult populations. A major contributing factor that influences prognosis in this population is the reduced prevalence of genetic subtypes associated with favorable outcome and a concomitant increase in subtypes associated with poor outcome. Recent advances in genomic profiling across the age spectrum continue to enhance our knowledge of the differences in disease biology between children and adults and are providing important insights into novel therapeutic targets. Philadelphia chromosome-like (Ph-like) ALL is one such subtype characterized by alterations that deregulate cytokine receptor or tyrosine kinase signaling and are amenable to inhibition with approved tyrosine kinase inhibitors. One of the greatest challenges now remaining is determining how to implement this breadth of genomic information into rapid and accurate diagnostic testing to facilitate the development of novel clinical trials that improve the outcome of AYAs and adults with ALL.
PDF
