Computational Mathematics

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.

Fog-computing-based heartbeat detection and arrhythmia classification using machine learning

Designing advanced health monitoring systems is still an active research topic. Wearable and remote monitoring devices enable monitoring of physiological and clinical parameters (heart rate, respiration rate, temperature, etc.) and analysis using cloud-centric machine-learning applications and decision-support systems to predict critical clinical states. This paper moves from a totally cloud-centric concept to a more distributed one, by transferring sensor data processing and analysis tasks to the edges of the network.

TeraStat 2

Italiano

TeraStat2 is an HPC infrastructure developed by the Dipartimento of Scienze Statistiche and hosted by the InfoSapienza IT center of University of Rome - La Sapienza. It provides a general-purpose, massively parallel supercomputing infrastructure for solving large mathematical models on Big Data. 

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