Quantitative Criticism of Literary Relationships

Authors often convey meaning by referring to or imitating prior works of literature, a process that creates complex networks of literary relationships (“intertextuality”) and contributes to cultural evolution. In this paper, we use techniques from stylometry and machine learning to address subjective literary critical questions about Latin literature, a corpus marked by an extraordinary concentration of intertextuality. Our work, which we term “quantitative criticism,” focuses on case studies involving two influential Roman authors, the playwright Seneca and the historian Livy. We find that four plays related to but distinct from Seneca’s main writings are differentiated from the rest of the corpus by subtle but important stylistic features. We offer literary interpretations of the significance of these anomalies, providing quantitative data in support of hypotheses about the use of unusual formal features and the interplay between sound and meaning. The second part of the paper describes a machine-learning approach to the identification and analysis of citational material that Livy loosely appropriated from earlier sources. We extend our approach to map the stylistic topography of Latin prose, identifying the writings of Caesar and his near-contemporary Livy as an inflection point in the development of Latin prose style. In total, our results reflect the integration of computational and humanistic methods to investigate a diverse range of literary questions

Quantitative Criticism of Literary Relationships

Authors often convey meaning by referring to or imitating prior works of literature, a process that creates complex networks of literary relationships (“intertextuality”) and contributes to cultural evolution. In this paper, we use techniques from stylometry and machine learning to address subjective literary critical questions about Latin literature, a corpus marked by an extraordinary concentration of intertextuality. Our work, which we term “quantitative criticism,” focuses on case studies involving two influential Roman authors, the playwright Seneca and the historian Livy. We find that four plays related to but distinct from Seneca’s main writings are differentiated from the rest of the corpus by subtle but important stylistic features. We offer literary interpretations of the significance of these anomalies, providing quantitative data in support of hypotheses about the use of unusual formal features and the interplay between sound and meaning. The second part of the paper describes a machine-learning approach to the identification and analysis of citational material that Livy loosely appropriated from earlier sources. We extend our approach to map the stylistic topography of Latin prose, identifying the writings of Caesar and his near-contemporary Livy as an inflection point in the development of Latin prose style. In total, our results reflect the integration of computational and humanistic methods to investigate a diverse range of literary questions

Two remarks on Cournot equilibria

We describe two simple results in the theory of Cournot equilibria. The first has to do with the effect of taxation in a Cournot industry and the second describes under what conditions a Cournot equilibrium will implicity maximize an objective function. These results are probably known, but are not well known, and they seem useful enough to be worth spelling out.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25786/1/0000348.pd

Preventing Slips and Falls through Leisure-Time Physical Activity: Findings from a Study of Limited-Service Restaurants

Background/Objective Physical activity has been shown to be beneficial at improving health in some medical conditions and in preventing injury. Epidemiologic studies suggest that physical activity is one factor associated with a decreased risk for slips and falls in the older (≥65 years) adult population. While the risk of slips and falls is generally lower in younger than in older adults; little is known of the relative contribution of physical activity in preventing slips and falls in younger adults. We examined whether engagement in leisure-time physical activity (LTPA) was protective of slips and falls among a younger/middle-aged (≤50 years old) working population. Methods: 475 workers from 36 limited-service restaurants in six states in the U.S. were recruited to participate in a prospective cohort study of workplace slipping. Information on LTPA was collected at the time of enrollment. Participants reported their slip experience and work hours weekly for up to 12 weeks. We investigated the association between the rate of slipping and the rate of major slipping (i.e., slips that resulted in a fall and/or injury) and LTPA for workers 50 years of age and younger (n = 433, range 18–50 years old) using a multivariable negative binomial generalized estimating equation model. Results: The rate of major slips among workers who engaged in moderate (Adjusted Rate Ratio (RR) = 0.65; 95% Confidence Interval (CI) = [0.18–2.44]) and vigorous (RR = 0.64; 95%CI = [0.18–2.26]) LTPA, while non-significant, were approximately one-third lower than the rate of major slips among less active workers. Conclusion: While not statistically significant, the results suggest a potential association between engagement in moderate and vigorous LTPA and the rate of major slips in younger adults. Additional studies that examine the role of occupational and non-occupational physical activity on the risk of slips, trips and falls among younger and middle aged adults appear warranted

Quantitative criticism of literary relationships

Authors often convey meaning by referring to or imitating prior works of literature, a process that creates complex networks of literary relationships ("intertextuality") and contributes to cultural evolution. In this paper, we use techniques from stylometry and machine learning to address subjective literary critical questions about Latin literature, a corpus marked by an extraordinary concentration of intertextuality. Our work, which we term "quantitative criticism," focuses on case studies involving two influential Roman authors, the playwright Seneca and the historian Livy. We find that four plays related to but distinct from Seneca's main writings are differentiated from the rest of the corpus by subtle but important stylistic features. We offer literary interpretations of the significance of these anomalies, providing quantitative data in support of hypotheses about the use of unusual formal features and the interplay between sound and meaning. The second part of the paper describes a machine-learning approach to the identification and analysis of citational material that Livy loosely appropriated from earlier sources. We extend our approach to map the stylistic topography of Latin prose, identifying the writings of Caesar and his near-contemporary Livy as an inflection point in the development of Latin prose style. In total, our results reflect the integration of computational and humanistic methods to investigate a diverse range of literary questions

Leisure-Time Physical Activity, Falls, and Fall Injuries in Middle-Aged Adults.

Introduction Although exercise and strength training have been shown to be protective against falls in older adults (aged 65 years and older), evidence for the role of leisure-time physical activity (LTPA) in the prevention of falls and resulting injuries in middle-aged adults (aged 45–64 years) is lacking. In the present study, we investigate the association between self-reported engagement in LTPA and the frequency of falls and fall-related injuries among middle-aged and older adults, while controlling for key sociodemographic and health characteristics. Methods Nationally representative data from the 2010 U.S. Behavioral Risk Factor Surveillance Survey were analyzed in April 2014 to examine the number of adults aged ≥45 years who self-reported their fall experience in the previous 3 months and any injuries that resulted from those falls. We then evaluated the association between LTPA and self-reported falls and injuries across three age strata (45–54, 55–64, and ≥65 years). The two main self-reported outcome measures were (1) frequency of falls in the 3 months prior to the survey interview date and (2) the number of injuries resulting from these falls. Prevalence ratios (PRs) and 95% CIs were calculated using Poisson regression models with robust SEs. Results Of 340,680 survey participants aged ≥45 years, 70.7% reported engaging in LTPA, and 17% reported one or more falls. Among those reporting a fall within 3 months, 25.6% experienced one injurious fall (fall resulting in an injury) and 8.4% reported two or more injurious falls. Controlling for sociodemographic and health characteristics, among adults aged 45–54 years, those who engaged in LTPA were significantly less likely to report one fall (PR=0.90, 95% CI=0.81, 0.99); two or more falls (PR=0.84, 95% CI=0.77, 0.93); one injurious fall (PR=0.88, 95% CI=0.78, 0.99); and two or more injurious falls (PR=0.69, 95% CI=0.58, 0.83) than those who did not exercise. A similar protective effect of LTPA on reporting falls and injuries was noted for adults aged 55–64 and ≥65 years. Conclusions Similar to older adults, middle-aged adults who engage in LTPA report fewer falls and fall-related injuries. Upon further confirmation of the relationship between LTPA and falls among middle-aged adults, fall prevention interventions could be developed for this population

Sociological and Human Developmental Explanations of Crime: Conflict or Consensus

This paper examines multidisciplinary correlates of delinquency in an attempt to integrate sociological and environmental theories of crime with human developmental and biological explanations of crime. Structural equation models are applied to assess links among biological, psychological, and environmental variables collected prospectively from birth through age 17 on a sample of 800 black children at high risk for learning and behavioral disorders. Results show that for both males and females, aggression and disciplinary problems in school during adolescence are the strongest predictors of repeat offense behavior. Whereas school achievement and family income and stability are also significant predictors of delinquency for males, early physical development is the next strongest predictor for females. Results indicate that some effects on delinquency also vary during different ages. It is suggested that behavioral and learning disorders have both sociological and developmental correlates and that adequate educational resources are necessary to ensure channels of legitimate opportunities for high-risk youths

Influenza A Virus (H3N8) in Dogs with Respiratory Disease, Florida

Genetic and antigenic characterization established the uniqueness of this virus circulating in dogs