The effect of Soranus of Ephesus (98–138) on the work of midwives

BackgroundIn the Roman period, midwives continued to play an important role in female health care primarily in the attendance of women birth. In the second century AD, midwives’ education received a significant boost thanks to the distinguished physician Soranus of Ephesus.AimTo reveal the work and important contribution of Soranus of Ephesus in the practice of midwifery.MethodsThe main bibliographic sources concerning Soranus’ work on midwifery have been investigated and analysed.FindingsIn his work, Soranus described the main characteristics and skills of a midwife. In the practice of obstetrics, he performed the manoeuvre which was later called “turning the foot” and introduced the birth chair. His contribution in neonatology is also of a great importance as he provided the earliest newborn assessment.ConclusionSoranus’ work contributed in the education of midwives and influenced the practice of obstetrics till the Middle Ages.     

“I Am So Glad That I Am a Group Worker”

This article explores the ominous consequences of the profession of social work and its schools’ gradual drift away from a long tradition of valuing practice and education that is community based and addresses private troubles and public issues. A series of pointed questions are offered that suggest what needs to happen to reverse course, in schools of social work, against the currents of corporatism and crude individualism infecting our politics, economy, social relations, and broad culture. The article concludes with a “modest proposal for the free school of social work.”     

Voluntary and Involuntary Driving Cessation in Later Life

This study explores the decision-making process of driving cessation in later life, with a focus on voluntariness. The sample included 83 former drivers from the Baltimore Epidemiologic Catchment Area Study. A majority of participants (83%) reportedly stopped driving by their own decision. However, many voluntary driving retirees reported external factors such as financial difficulty, anxiety about driving, or lack of access to a car as main reasons for driving cessation. These findings imply that distinction between voluntary and involuntary driving cessation is ambiguous and that factors beyond health status, including financial strain, play a role in the transition to non-driving.     

A Canadian Population Level Analysis of the Roles of Irrational Gambling Cognitions and Risky Gambling Practices as Correlates of Gambling Intensity and Pathological Gambling

Using population data (N = 11,562) drawn from five Canadian gambling prevalence surveys conducted between 2000 and 2005, the current study investigated the relationship between irrational gambling cognitions and risky gambling practices upon (a) gambling intensity, as measured by percent of income spent on gambling and (b) tolerance, a diagnostic indicator of pathological gambling. First, we found irrational gambling cognitions and risky gambling practices to be positively related. Second, irrational gambling cognitions moderated the relationship between risky gambling practices and gambling intensity. Specifically, people engaging in risky practices, spent less of their income on gambling when they had fewer irrational gambling cognitions compared to those with more irrational cognitions. Third, irrational gambling cognitions moderated the relationship between risky gambling practices and tolerance. Of the people engaging in risky practices, those with no irrational cognitions reported lower levels of tolerance than those with at least one irrational cognition. Interactions with gender are reported and discussed. These findings demonstrate the importance of both gambling cognitions and gambling practices upon the intensity of gambling and pathological gambling.

Replication of Low-Risk Gambling Limits Using Canadian Provincial Gambling Prevalence Data

A set of low-risk gambling limits were recently produced using Canadian epidemiological data on the intensity of gambling behavior and related consequences (Currie et al. Addiction 101:570–580, 2006). The empirically derived limits (gambling no more than two to three times per month, spending no more than $501–$100°CAN per year or no more than 1% of gross income spent on gambling) accurately predicted risk of gambling-related harm after controlling for other risk factors. The present study sought to replicate these limits on data collected in three independently conducted Canadian provincial gambling surveys. Dose–response curves and logistic regression analyses were applied to gambling prevalence data collected in surveys conducted in 2001–2002 within the provinces of Alberta, British Columbia, and Ontario (combined sample N = 7,675). A comparable dose–response relationship between gambling intensity and risk of harm was found in each province. The optimal thresholds for defining an upper limit of low-risk gambling were similar across the three provinces despite variations in the availability and organization of legalized gambling opportunities within each region. These results provide additional evidence supporting the validity of the low-risk gambling limits. Quantitative limits could be used to augment existing responsible gambling guidelines.

The Realized Laplace Transform of Volatility

We introduce and derive the asymptotic behavior of a new measure constructed from high‐frequency data which we call the realized Laplace transform of volatility. The statistic provides a nonparametric estimate for the empirical Laplace transform function of the latent stochastic volatility process over a given interval of time and is robust to the presence of jumps in the price process. With a long span of data, that is, under joint long‐span and infill asymptotics, the statistic can be used to construct a nonparametric estimate of the volatility Laplace transform as well as of the integrated joint Laplace transform of volatility over different points of time. We derive feasible functional limit theorems for our statistic both under fixed‐span and infill asymptotics as well as under joint long‐span and infill asymptotics which allow us to quantify the precision in estimation under both sampling schemes.     

Inventory Policy with Parametric Demand: Operational Statistics,Linear Correction,and Regression

In this paper, we consider data‐driven approaches to the problem of inventory control. We first consider the approach of operational statistics and review related results which enable us to maximize a priori expected profit uniformly over all parameter values, when the demand distribution is known up to the location and scale parameters. For the case of the unknown shape parameter, we first suggest a heuristic approach based on operational statistics to obtain improved ordering policies and illustrate the same for the case of a Pareto demand distribution. In more general cases where the heuristic is not applicable, we suggest linear correction and support vector regression approaches to better estimate ordering policies, and illustrate these using a Gamma demand distribution. In certain cases, our proposed approaches are found to yield significant improvements.