Improving Access to Hygiene, Sanitation, and Drinking Water in King County and Beyond: Success Factors and Costs.

Context: Most major urban areas in the US, including Seattle and King County, have a long-standing lack of public restrooms, handwashing stations, and drinking water, presenting public health risks.

Objective: To aid decision-makers in expanding access, we review available information regarding successful hygiene programs in urban settings to identify shared characteristics and costs.

Design: We reviewed 10 journal articles, 49 news articles, and 54 pieces of gray literature including reports, white papers, and online resources describing real-world hygiene, sanitation, and drinking water programs in US and global urban settings.

Anomalous conductance in electrolyte solutions: a potentiometric and conductometric study of the dissociation of moderately strong acids.

Properties of the associated forms of five moderately strong acids in aqueous solution (trichloro-, trifluoro-, chlorodifluoro-, and dichloroacetic acids) and sulfamic acid are studied by potentiometric and conductometric methods. Conductometric estimates of the acidity constants for the haloacetic acids are substantially different from the pH potentiometric values. However, the conductometric and pH potentiometric estimates of the acidity constants for sulfamic acid are in agreement.

Tendon transfer for rupture of the extensor pollicis longus.

Reviewing the history and etiology of extensor pollicis longus tendon rupture shows the most compelling mechanism of rupture apparently is interruption of the tendon's vascularity secondary to hemorrhage and pressure, which causes the damaged tendon to be more susceptible to rupture secondary to late ischemic necrosis and attrition. Treatment options tried have included direct repair, tendon grafting, and tendon transfer. The authors recommend the extensor indicis proprius tendon transfer as the most predictable procedure to restore the original function of the EPL.

Biases in summary statistics of slopes and intercepts in linear regression with errors in both variables.

Monte Carlo simulations are employed to investigate the bias in linear regression parameters for cases in which both variables are subject to normally distributed errors. Both homoscedastic and heteroscedastic errors are treated. The results show that, in general, the arithmetic mean, geometric mean, and angle mean (tangent of the mean of the arctangents) of the slopes are biased and non-normally distributed.