Leveraging opportunistic crowd-sensing to achieve situation-awareness: A platform for gathering eyewitness reports from social media users in the aftermath of emergencies.

Our project aims to create, implement and deploy a platform based on a decision support system for gathering eyewitness reports to improve the situation-awareness in the aftermath of an emergency, focusing in particular on earthquakes. While doing so, we would like to find out if an approach combining opportunistic and participatory sensing methods is possible. Our system, in fact, focuses on detecting eyewitnesses with an opportunistic approach and then aims to transform these potential eyewitnesses into volunteers willing to share information. The platform retrieves earthquake notifications from an official channel and, immediately after, exploits the messages shared on Twitter for a fixed time-slot. In doing so, we collect messages posted by potential eyewitnesses. Data mining and natural language processing techniques are performed in order to select meaningful and comprehensive sets of tweets. We then concentrate on the filtered tweets in order to try to engage with their authors and enhance situation awareness. Information retrieved by our system can be extremely useful to all the government agencies interested in mitigating the impact of earthquakes, as well as news agencies looking for new information to publish

Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System

People involved in mass emergencies increasingly publish information-rich contents in online social networks (OSNs), thus acting as a distributed and resilient network of human sensors. In this work, we present HERMES, a system designed to enrich the information spontaneously disclosed by OSN users in the aftermath of disasters. HERMES leverages a mixed data collection strategy, called hybrid crowdsensing, and state-of-the-art AI techniques. Evaluated in real-world emergencies, HERMES proved to increase: (i) the amount of the available damage information; (ii) the density (up to 7x) and the variety (up to 18x) of the retrieved geographic information; (iii) the geographic coverage (up to 30%) and granularity

In vitro Removal of Therapeutic Drugs with a Novel Adsorbent System

Background/Aim: Substances in the middle molecular weight range have been shown to play a significant pathogenetic role in as diverse disorders as end-stage renal disease and multiple organ failure. To overcome the limitations in the amount removed by hemofilters, new sorbents with a high biocompatibility are actively being developed. Furthermore, biocompatible sorbents by their nonspecific adsorptive behavior could have great impact on detoxification treatment in exogenous intoxications. We performed an in vitro evaluation of a newly developed highly biocompatible sorbent cartridge (Betasorb(R)), examining its adsorptive capacity concerning therapeutic drugs. Methods: Uremic blood spiked with a range of therapeutic drugs was recirculated for 2 h in an in vitro hemoperfusion circuit containing a Betasorb device for hemoperfusion. The drug concentrations before and after the passage of the cartridge were measured, and the total amount removed was calculated. Results: The sorbent showed effective removal of glycopeptide antibiotics, digoxin, theophylline, phenobarbital, phenytoin, carbamazepine, and valproic acid. Moderate removal could be demonstrated for tacrolimus and cyclosporine A; aminoglycosides were removed to a small extent only. Conclusions: Betasorb hemoperfusion shows a potent adsorptive capacity concerning therapeutic drugs (except aminoglycosides) and could be of major value in the treatment of intoxications. On the other hand, drug monitoring and possible adjustments are necessary during Betasorb hemoperfusion to maintain the therapeutic ranges of the drugs in blood. Copyright (C) 2002 S. Karger AG, Basel

Associations Between Personality Traits, Perceived Stress and Depressive Symptoms in Gynecological Cancer Patients Characterized by the Short and Long Allele Variant of the 5-HTTLPR Genotype: Preliminary Results

Objective: The study explored associations between personality traits, perceived stress and symptoms of depression in oncological patients characterized by the two variants of the serotonin transporter (5-HTTLPR) polyrnorphisms.Method: The sample was composed of 41 gynecological cancer patients who completed self-reported questionnaires including the NEO Five-Factor Inventory, the dimension of depression-dejection (D/D) of the Profile of Moods State and the Perceived Stress Scale (PSS). The polymerase chain reaction was also employed to identify genotypes in the serotonin (5HTT) polymorphism.Results: The one-way ANOVA test, across the 5-HTTLPR genotype groups, showed significant effects of the short variants on neuroticism (p=0.009) and of the long variant on agreeableness (p=0.022), as well as a tendency to a statistical significance of the 1/1 variant on consciousness (p=0.074). Bivariate correlations showed positive correlations of neuroticism with both psychopathological symptoms (D/D r=0.522; PSS r=0.586) in the combined group S, negative association of agreeableness with depression (D/D 1=-0.613) and of consciousness with depression (DID r=0.750) and perceived stress (PSS r=-0.702) in the group of the long variant of 5-HTTLPR genotype.Conclusions: Personalized medicine should consider the interaction between genotype and phenotype in reducing levels of clinical psychological distress, highlighting how psychotherapeutic processes should improve patients' quality of life

NETME: on-the-fly knowledge network construction from biomedical literature

Background: The rapidly increasing biological literature is a key resource to automatically extract and gain knowledge concerning biological elements and their relations. Knowledge Networks are helpful tools in the context of biological knowledge discovery and modeling. Results: We introduce a novel system called NETME, which, starting from a set of full-texts obtained from PubMed, through an easy-to-use web interface, interactively extracts biological elements from ontological databases and then synthesizes a network inferring relations among such elements. The results clearly show that our tool is capable of inferring comprehensive and reliable biological networks

Maternal perinatal depression and child neurocognitive development: A relationship still to be clarified

Pregnancy frequently is associated with emotional conditions such as anxiety and depression. Perinatal depression has an incidence of around 12%. Only recently researcher put the attention on the effects of pre- and postpartum psychopathology on infant neurocognitive development. Neurobiology studies indicate that perinatal maternal depression can significantly affect the structure and function of children’s prefrontal cortex and modulate the development of cognitive abilities from intrauterine life. On the topic, the scientific literature appears ambiguous, reporting mixed results. Some studies have found no significant differences in developmental outcomes between prenatal and postpartum exposure to maternal depression, others have suggested a greater burden of depression in pregnancy than in postpartum, and still others have emphasized the role of chronicity of symptoms rather than the period of onset. Few studies have examined the effects of different developmental trajectories of maternal depression on children’s neurocognitive outcomes. The assessment of maternal health has for years been limited to postpartum depression often neglecting the timing of onset, the intensity of symptoms and their chronicity. These aspects have received less attention than they deserve, especially in relation to the effects on children’s neurocognitive development. The aim of this Perspective was to highlight inconsistencies and gaps that need to be filled in the approach to the study of this problem. Given the wide heterogeneity of data in the current literature, further studies are needed to clarify these interactions. This Perspective provides an overview of current progress, future directions, and a presentation of the authors’ views on the topic