Study on health status and remediation potential of Phragmites australis employed in an Emilia Romagna (IT) Constructed Wetland to assess zonal variability of the facility.

Phragmites australis (Cav.) Trin. ex Steud. is a hydrophyte particularly resistant to harsh conditions, e.g. drought, high salinity, contaminants, such as heavy metals and toxic molecules, and high nutrients concentrations. These resistances render the plant suitable for water depuration, where its particular metabolism is exploited to remove pollutants and excessive nutrients from the environment. In constructed wetlands, this principle is applied to phyto-purify wastewater with various origins, such as industrial, agricultural and household, with the aim to improve its quality to an extent which would render its reuse possible. In the framework of a pre-existing project of Department of Agricultural and Food Sciences (DiSTAl), this work integrates the knowledge and data relative to an Emilia Romagna (IT) constructed wetland plant, in order to expand the knowledge about this particular facility and of the system in general. By assaying antioxidants, both non- enzymatic and enzymatic, chlorophylls content and net photosynthetic rates, and by measuring the elemental composition of the specimens, the health status and the elemental uptake of the wetland plants sampled in different areas were investigated. The results were compared amongst the examined specimens with the aim to detect areas where there may be a higher stress due to a different wastewater composition, potentially varying along the constructed route. In addition, different parameters regarding the extraction and assay protocols were investigated, in order to optimise the procedure and to select the best conditions to perform the analyses, as well as to integrate information missing in literature or found as contradictory.

Development of a health parameters tracking wearable device for detection of stress episodes and principles of panic attacks

A proof of concept for a wearable device is presented to help patients who suffer from panic attacks due to panic disorder. The aim of this device is to enable such patients manage these stressful episodes by guiding them to regulate their breathing and by informing the care taker. Panic attack prediction is deployed that can enable the healthcare providers to not only monitor and manage the panic attacks of a patient but also carry out an early intervention to reduce the symptom severity of the approaching panic attack. The patient can acquire the help they need, ultimately regaining control. The concept of panic attack prediction can lead to a personalized treatment of the patient. The study is conducted using a small real-world dataset, and only two primary symptoms of panic attack are used. These symptoms include pacing heart rate and hyperventilation or abnormal breathing rate. This thesis project is developed in collaboration with ALTEN italia and all the required hardware is provided by them.