Algorithms

Anti-haemostatic compounds from the vampire snail Cumia reticulata: Molecular cloning and in-silico structure-function analysis

Blood-feeding animals are known for their ability to produce bioactive compounds to impair haemostasis and suppress pain perception in the host. These compounds are extremely appealing for pharmacological development since they are generally very effective and specific for their molecular target. A preliminary RNA-Seq based characterization of the secretion from salivary and mid-oesophageal tissues of the vampire snail Cumia reticulata, revealed a complex mixture of feeding-related transcripts with potential anaesthetic and anticoagulant action.

Defining the appropriate setting for treating obese patients: do we have the right tools?

To allocate obese patients to the correct therapeutic setting, the Italian Obesity Society (SIO) has suggested a new algorithm based on the Edmonton obesity staging system (EOSS). The aim of our study was to apply in two retrospective cohorts of obese patients both the EOSS and the activities of daily life (ADL) scale to identify also their rehabilitation needs.

Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources

Electrical activity recorded on the scalp using electroencephalography (EEG) results from the mixing of signals originating from different regions of the brain as well as from artifactual sources. In order to investigate the role of distinct brain areas in a given experiment, the signal recorded on the sensors is typically projected back into the brain (source reconstruction) using algorithms that address the so-called EEG “inverse problem”.

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