Helping Students Understand Health Statistics

Mathematical and statistical information is often presented to patients after receiving health care. Previous research would suggest that people often have difficulty understanding statistical information, especially when it is presented in a single event probability format. According to previous research, the difficulty arises from numerical literacy, presentation format and an interaction of both. The goal of the current study is to determine the accuracy of students’ estimates of having an STD, after receiving a positive test result in a simulated clinical setting. Three different formats were manipulated to help students understand the statistical information frequencies, single event probability, and an icon array. Contrary to previous research, a three step hierarchical logistic regression determined that none of the formats were aiding in the accuracy of students’ estimates of having chlamydia. In fact, very few students estimated the correct likelihood they had an STD after receiving a positive test result. Possible limitations and future research are discussed

The contribution of corpus linguistics to lexicography and the future of Tibetan dictionaries

The first alphabetized dictionary of Tibetan appeared in 1829 (cf. Bray 2008) and the intervening 184 years have witnessed the publication of scores of other Tibetan dictionaries (cf. Simon 1964). Hundreds of Tibetan dictionaries are now available; these include bilin gual dictionaries, both to and from such languages as English, French, German, Latin, Japanese, etc. and specialized dictionaries focusing on medicine, plants, dialects, archaic terms, neologisms, etc. (cf. Walter 2006, McGrath 2008). However, if one classifies Tibetan dictionaries by the methods of their compilation the accomplishments of Tibetan lexicography are less impressive. Methodologies of dictionary compilation divide heuristically into three types. First, some dictionaries lack explicit methodology; these works assemble words in an ad hoc manner and illustrate them with invented examples. Second, there are dictionaries that are compiled over very long periods of time on the basis of collections of slips recording attestations of words as used in context. Third, more recent dictionaries are compiled on the basis of electronic text corpora, which are processed computationally to aid in the precision, consistency and speed of dictionary compilation. These methods may be called respectively the 'informal method', the 'traditional method', and the 'modern method'. The overwhelming majority of Tibetan dictionaries were compiled with the informal method. Only five Tibetan dictionaries use the traditional methodology. No Tibetan dictionary yet compiled makes use of the modern method

Hydrogel microparticles for biosensing

Due to their hydrophilic, biocompatible, and highly tunable nature, hydrogel materials have attracted strong interest in the recent years for numerous biotechnological applications. In particular, their solution-like environment and non-fouling nature in complex biological samples render hydrogels as ideal substrates for biosensing applications. Hydrogel coatings, and later, gel dot surface microarrays, were successfully used in sensitive nucleic acid assays and immunoassays. More recently, new microfabrication techniques for synthesizing encoded particles from hydrogel materials have enabled the development of hydrogel-based suspension arrays. Lithography processes and droplet-based microfluidic techniques enable generation of libraries of particles with unique spectral or graphical codes, for multiplexed sensing in biological samples. In this review, we discuss the key questions arising when designing hydrogel particles dedicated to biosensing. How can the hydrogel material be engineered in order to tune its properties and immobilize bioprobes inside? What are the strategies to fabricate and encode gel particles, and how can particles be processed and decoded after the assay? Finally, we review the bioassays reported so far in the literature that have used hydrogel particle arrays and give an outlook of further developments of the field. Keywords: Hydrogel; Biosensor; Microparticle; Multiplex assayNovartis Institutes of Biomedical Research (Presidential Fellowship)Novartis Institutes of Biomedical Research (Education Office)National Cancer Institute (U.S.) (Grant 5R21CA177393-02)National Science Foundation (U.S.) (Grant CMMI-1120724)Institute for Collaborative Biotechnologies (Grant W911NF-09-0001)United States. Army Research Offic

Update on Electricity Customer Choice In Ohio: Competition Continues to Outperform Traditional Monopoly Regulation (Full Report)

The purpose of this study is to provide an update to the research team’s 2016 report “Electricity Customer Choice in Ohio: How Competition Has Outperformed Traditional Monopoly Regulation” using data for 2016 through 2018. Key Findings: 1. Since 2011, Ohio consumers have saved $23.9 billion because of deregulation. 2. Competition has driven down average electricity prices in deregulated Midwestern states (Ohio, Pennsylvania, Illinois), while their regulated peers (Indiana, Michigan, Wisconsin) have seen a steady increase in price of generated electricity. 3. The Study Team anticipates that savings will continue for the near term to be around$3 billion per year. However, these savings may be lost, in whole or in part, if deregulated energy markets continue to be undermined by cross subsidies of uncompetitive Investor Owned Utility (IOU) generation through Electric Distribution Utility (EDU) riders and surcharges, or through legislatively-mandated, above market Power Purchase Agreements (PPAs) and subsidies

Electricity Customer Choice in Ohio: How Competition Has Outperformed Traditional Monopoly Regulation

It took nearly a decade of sorting out regulatory problems, but by 2011 deregulation of the market for electricity generation in Ohio began to work exactly how economic theory projected it would. Since 2011, a robust retail market for electricity has developed in Ohio. As a result, deregulation of electricity has saved consumers an average of $3 billion per year, for a total of$15 billion over five years. Moreover, it is projected to continue to save consumers nearly that amount for the next five years, through 2020, totaling another $15 billion in savings. Further, the Midwestern deregulated states (Ohio, Pennsylvania and Illinois) have, over time, outperformed their regulated Midwestern neighbors (Michigan, Indiana and Wisconsin) in terms of constraining electricity cost increases for their consumers. This Study was undertaken to assess the effects that deregulation of electricity generation has had on electricity prices in Ohio. Deregulation has become controversial in Ohio as several of Ohio’s investor-owned utilities (“IOUs”) sought price supports for their uncompetitive generation facilities. The IOUs sought these supports even though Ohio had deregulated the generation side of the electricity business in 2001

Methods to Minimize Confounding Effects of Hematocrit and Hemoglobin when using Dried Blood Spots

Dried blood spots (DBS) are an alternative method of collecting venous blood samples that can be used to measure blood biomarkers. Two confounding factors, hemoglobin and hematocrit, limit the validity of DBS in comparison to the gold standard serum sample. The saturation of biomarkers on DBS filter paper is affected by the sample’s hematocrit and hemoglobin. Also hemoglobin contamination is known to confounder for antibody binding in assay systems. The purpose of this study was two-fold: 1) to evaluate a DBS punching technique designed to limit the effects of hematocrit whilst minimizing sample volume and 2) to evaluate a novel device designed to remove hemoglobin from plasma during DBS collection (Seraform™). A bead-based multiplex assay of nine cardiovascular disease risk (CVD) biomarkers (C-reactive protein, fibrinogen, L-selectin, Haptoglobin, serum amyloid protein, von Willebrand factor, adipsin, α2-macroglobulin, and α1-acid glycoprotein) was measured and compared using the various DBS treatments. Outcomes were compared using linear regression analysis examining the R2 change with hematocrit and hemoglobin as covariates. Significance was set at

Antifragility in Climbing:Determining Optimal Stress Loads for Athletic Performance Training

In the past decades, much research has examined the negative effects of stressors on the performance of athletes. However, according to evolutionary biology, organisms may exhibit growth under stress, a phenomenon called antifragility. For both coaches and their athletes, a key question is how to design training conditions to help athletes develop the kinds of physical, physiological, and behavioral adaptations underlying antifragility. An answer to this important question requires a better understanding of how individual athletes respond to stress or loads in the context of relevant sports tasks. In order to contribute to such understanding, the present study leverages a theoretical and methodological approach to generate individualized load–response profiles in the context of a climbing task. Climbers (n = 37) were asked to complete different bouldering (climbing) routes with increasing loading (i.e. difficulty). We quantified the behavioral responses of each individual athlete by mathematically combining two measures obtained for each route: (a) maximal performance (i.e. the percentage of the route that was completed) and (b) number of attempts required to achieve maximal performance. We mapped this composite response variable as a function of route difficulty. This procedure resulted in load–response curves that captured each athlete’s adaptability to stress, termed phenotypic plasticity (PP), specifically operationalized as the area under the generated curves. The results indicate individual load–response profiles (and by extension PP) for athletes who perform at similar maximum levels. We discuss how these profiles might be used by coaches to systematically select stress loads that may be ideally featured in performance training

Sex Differences in Change in Skin Temperature When Exercising in a Hot, Humid Environment

The risk for heat-related illness is increased when exercising in a hot, humid environment. In an effort to protect the athlete, body temperature is measured continuously while exercising in extreme environments. Currently, researchers and laboratory personnel employ the use of mean skin temperature to monitor athlete safety; however, this measurement fails to consider localized changes in temperature that may arise as a function of sex and exercise time. Therefore, the purpose of this study was to examine potential sex differences in the change in skin temperature at 17 different upper body locations while exercising in a hot, humid environment. Young men and women were recruited and completed a 60-min walk/jog interval protocol in a hot (34.1 ± 1 °C), humid (64 ± 8%) environment while skin temperature was continuously measured. To account for differences that may have arisen due to differing workloads between men and women, energy expenditure and metabolic heat production were calculated after the completion of exercise. Data was analyzed either a repeated-measures ANOVA (change in skin temperature) or t-test­ (energy expenditure and metabolic heat production). Location of interaction effects was determined using a Fisher’s Least Significant Difference test. Significance was set a p\u3c0.05 for all statistical testing. There was no difference between men and women in total energy expenditure; however, men were found to have a higher metabolic heat production. Women had a higher change in skin temperature at three locations on the back (left upper, right upper, and right mid-back). Conversely, there were no differences at any time point between men and women in the change in core temperature from baseline measurements. This study highlights the need to further investigate sex differences in cooling mechanisms while exercising in a hot, humid environment