Rise and Fall of Light Top Squarks in the LHC Top-Quark Sample.

We discuss the possibility that light new physics in the top-quark sample at the LHC can be found by investigating with greater care well-known kinematic distributions, such as the invariant mass m_{bℓ} of the b-jet and the charged lepton in fully leptonic tt[over ¯] events. We demonstrate that new physics can be probed in the rising part of the already measured m_{bℓ} distribution. To this end, we analyze a concrete supersymmetric scenario with a light right-handed top-squark, chargino and neutralino.

Original language versus dubbed movies: Effects on our brain and emotions.

Converging evidence suggests that emotions are often dulled in one's foreign language. Here, we paired fMRI with a naturalistic viewing paradigm (i.e.

spp. parasite risk management in from Lake Trasimeno.

is the primary source of fishing profit in Lake Trasimeno and a common host for spp. larvae. The presence of in fish is a public health concern, and effective risk management procedures are necessary to guarantee that infected products do not reach the market.

as a bioindicator of the health status of Lake Trasimeno and risk assessment for consumers.

Fish are good bio-indicators of the health status of the aquatic environment and can be used as biomarkers to assess the aquatic behavior of environmental pollutants, the exposure of aquatic organisms, and the health risk for consumers. Goldfish are a significant bioindicator in the Lake Trasimeno aquatic system (Umbria, Italy). This study aimed to characterize the health status and the chemical and biotic contamination of Lake Trasimeno to define its anthropogenic and natural pressures and the risk associated with consuming its fishery products.

Integrating multiple information sources for landslide hazard assessment: the case of Italy.

Landslides are the most frequent and diffuse natural hazards in Italy causing the greatest number of fatalities and damage to urban areas. The integration of natural hazard information and social media data could improve warning systems to enhance the awareness of disaster managers and citizens about emergency events. The news about landslide events in newspapers or crowdsourcing platforms allows fast observation, surveying and classification.