The effect of carbohydrate ingestion on the motor skill proficiency of soccer players

This study examined the effects of ingesting a glucose-polymer (GP) solution on the motor skill proficiencies of association football (soccer) players from two teams playing during two matches in a cool environment. Fifteen minutes before each match and at halftime, players from both teams ingested 5 ml/kg of either placebo or a 6.9% GP solution. GP ingestion did not improve tackling, heading, dribbling, or shooting ability. On the contrary, the mean of successful tackles was lower with GP ingestion than with placebo. The success rate for heading, dribbling, and shooting also tended to be lower in the GP than in the placebo condition. In contrast, success in passing and ball control was similar in the two conditions. Improvements in passing and ball control may have been related to a decrease in the intensity of play in the second half of the game. These data indicate that there are no measurable benefits of GP ingestion for the motor skill proficiencies of soccer players during games played in a cool environment.IS

Neutrino interaction vertex reconstruction in DUNE with Pandora deep learning

The Pandora Software Development Kit and algorithm libraries perform reconstruction of neutrino interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at the Deep Underground Neutrino Experiment, which will operate four large-scale liquid argon time projection chambers at the far detector site in South Dakota, producing high-resolution images of charged particles emerging from neutrino interactions. While these high-resolution images provide excellent opportunities for physics, the complex topologies require sophisticated pattern recognition capabilities to interpret signals from the detectors as physically meaningful objects that form the inputs to physics analyses. A critical component is the identification of the neutrino interaction vertex. Subsequent reconstruction algorithms use this location to identify the individual primary particles and ensure they each result in a separate reconstructed particle. A new vertex-finding procedure described in this article integrates a U-ResNet neural network performing hit-level classification into the multi-algorithm approach used by Pandora to identify the neutrino interaction vertex. The machine learning solution is seamlessly integrated into a chain of pattern-recognition algorithms. The technique substantially outperforms the previous BDT-based solution, with a more than 20% increase in the efficiency of sub-1 cm vertex reconstruction across all neutrino flavours

Developing a Concept of Adaptive Community Learning: Case Study of a Rapidly Urbanizing Watershed

An iterative approach to working with a community’s environmental concerns, at the interface between science and society, is presented. We call this adaptive community learning, within which the principles of adaptive environmental assessment and management are embedded. Handling uncertainty – indeed, gross uncertainty – is integral to our approach. We place our discussion in the context of the evolving foundations of the kind of science needed to address contemporary issues of the environment and sustainability.We then illustrate development and application of our approach in a prototypical case study of managing the quality of Lake Lanier, Georgia (USA), in the face of potentially significant suburbanisation of its watershed. Our primary purpose is to communicate the entirety of the approach as succinctly as possible, without the clutter of the specific results emerging in the several disciplines keyed into the project as a whole

What do we know about the effects of crime on victims?

A wide ranging and critical review of the present literature on the impacts of crime on victim