Transport collapse in dynamically evolving networks.

Transport in complex networks can describe a variety of natural and human-engineered processes including biological, societal and technological ones. However, how the properties of the source and drain nodes can affect transport subject to random failures, attacks or maintenance optimization in the network remain unknown. In this article, the effects of both the distance between the source and drain nodes and the degree of the source node on the time of transport collapse are studied in scale-free and lattice-based transport networks.

"Compassion Fatigue" is a Misnomer: How Compassion Can Increase Quality of Life.

Health-care workers are at risk of experiencing negative consequences for their own health and job performance due to a wide variety of stressors. Care providers suffer from varying expressions of a generalized symptom set that has been termed "burnout" or "compassion fatigue." These terms can help us understand the phenomenon that is happening in our health system, but a strong understanding of the physical, mental, emotional, and psychological implications will increase the efficacy of treatment and benefit of preventive care.

Quantifying Collective Performance in Rugby Union.

The aim of this study was to quantify collective experience based on cumulative shared selections of players and to assess its impact on team performance in international rugby union. We assume that the greater the experience, the better the group will perform. Scoresheets of all games involving at least one of all 10 nations participating at the Rugby Championship and the Six Nations Championship were collected from the end of the 1999 Rugby World Cup (RWC) up to the 2015 RWC.

Z-scores-based methods and their application to biological monitoring: an example in professional soccer players.

The clinical and biological follow-up of individuals, such as the biological passport for athletes, is typically based on the individual and longitudinal monitoring of hematological or urine markers. These follow-ups aim to identify abnormal behavior by comparing the individual's biological samples to an established baseline. These comparisons may be done via different ways, but each of them requires an appropriate extra population to compute the significance levels, which is a non-trivial issue.