Objectives:To determine the immediate effects of Kinesio taping directed to the hip and manipulation directed to the lumbopelvic region in individuals with unilateral patellofemoral pain syndrome (PFPS).Background:PFPS affects up to 25% of the general population. Despite the high prevalence, this condition is not clearly understood, as evidenced by the numerous proposed causes and recommended treatments. Notwithstanding, recent evidence suggests that treatments directed at the hip or spine may lead to beneficial results.Methods:A convenience sample of 18 participants (12 men and 6 women, 19.5 ± 1.15 years old) with unilateral PFPS was recruited. Participants were randomized by sex to 1 of 3 groups: Kinesio taping, manipulation, and control taping. The main outcome measures included the Y-balance test, squatting range of motion (ROM), and the Lower Extremity Functional Scale.Results:Compared with the lumbopelvic manipulation and control groups, those in the Kinesio taping group performed significantly better on the Y-balance test (F = 5.59, P = 0.02) and with squatting ROM (F = 3.93, P = 0.04). The Kinesio taping and lumbopelvic groups were also significantly better than the control (sham) group with double-leg squatting ROM performance 3 days later.Conclusion:Kinesio taping may facilitate gluteus medius activation and improve postural stability and a double-leg squat.Clinical Relevance:The improvement in affected limb reach and double-leg squatting ROM highlights the potential for Kinesio taping to improve gluteus medius activation. Lumbopelvic manipulation may also immediately improve rehabilitation programs for PFPS.

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In events such as natural disasters, terrorist attacks, or war zones, one can gain critical situational awareness by monitoring what people on the ground are saying in social media. But how does one build a set of users in a specific location from scratch? In “Building a Location-Based Set of Social Media Users,” Christopher Marks and Tauhid Zaman present an algorithm to do just this. The algorithm starts with a small set of seed users in the location and then grows this set using an “expand–classify” approach. They apply the algorithm to diverse regions ranging from South America to the Philippines and in a few hours can collect tens of thousands of Twitter users in the target locations. The algorithm is language agnostic, making it especially useful for anyone trying to gain situational awareness in foreign countries.

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