A multilevel graph approach for IoT-based complex scenario management through situation awareness and semantic approaches

Modern reality and the environments in which we live are characterized by technology components geared toward automatic management through pervasive services. Thanks to the advent of the Internet of Things, such environments can provide information such as pollution levels, public transport conditions, efficiency of energy distribution networks, and identification of suspicious activities by generating complex scenarios. The profitable management of such scenarios can be performed through context modeling and methodologies that can extract and understand environmental information by preventing certain events through artificial intelligence techniques by increasing Situation Awareness. This paper focuses on developing a methodology with predictive capabilities and context adaptability for managing complex scenarios. The use of semantic and graph-based approaches, unlike many approaches used, leads to better integration of knowledge, resulting in improved system performance. In addition, such approaches allow understanding of what is happening in the system at a given time, enabling manipulation and integration of semantic information. Graph-based approaches chosen for this purpose are Ontologies, Context Dimension Trees, and Bayesian Networks, which are able to support the end-user or expert user in handling complex scenarios. The proposed methodology has been validated and applied to real complex scenarios based on the IoT paradigm. The proposed approach validation was conducted using open data from the city of London; a practical scenario case study was conducted in the field of automated management of a Smart Home. In both cases, the system achieved promising results

Revolutionizing cultural heritage preservation: an innovative IoT-based framework for protecting historical buildings

Italy offers a cultural heritage of considerable value that needs to be protected. Indeed, natural deterioration linked to the passage of time affects ancient artifacts and buildings. Sometimes, the deterioration compromises the functionality of cultural assets, pushing them toward decay. In this scenario, effective intervention seems impossible on the various critical points because of the wide variability of factors involved and the wide range of possible treatments. However, the spread of low-cost technologies has led to the possibility of having different devices and sensors able to communicate and interact with each other and humans: the Internet of Things (IoT). In this scenario, the IoT paradigm makes it possible to map reality by defining a coherent virtual representation (Digital Twin), which could help preserve Cultural Heritage. This work introduces an IoT-based system combining monitoring, predictive maintenance, and decision-making regarding the implementable interventions for protecting cultural heritage buildings. For this purpose, deep and machine learning techniques allow for the detection and classification of damages on specific materials. The experimental phase consists of two phases: the first aims to evaluate the accuracy of the proposed architecture, and the second exploits a prototype capable of interacting with expert users. The results of the experimental campaign are promising

Detailed Structural Characterization of the Lipooligosaccharide from the Extracellular Membrane Vesicles of Shewanella vesiculosa HM13

Bacterial extracellular membrane vesicles (EMVs) are membrane-bound particles released during cell growth by a variety of microorganisms, among which are cold-adapted bacteria. Shewanella vesiculosa HM13, a cold-adapted Gram-negative bacterium isolated from the intestine of a horse mackerel, is able to produce a large amount of EMVs. S. vesiculosa HM13 has been found to include a cargo protein, P49, in the EMVs, but the entire mechanism in which P49 is preferentially included in the vesicles has still not been completely deciphered. Given these premises, and since the structural study of the components of the EMVs is crucial for deciphering the P49 transport mechanism, in this study the complete characterization of the lipooligosaccharide (LOS) isolated from the cells and from the EMVs of S. vesiculosa HM13 grown at 18 °C is reported. Both lipid A and core oligosaccharide have been characterized by chemical and spectroscopic methods

Antifibrotic treatment response and prognostic predictors in patients with idiopathic pulmonary fibrosis and exposed to occupational dust

BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) is an aggressive interstitial lung disease with an unpredictable course. Occupational dust exposure may contribute to IPF onset, but its impact on antifibrotic treatment and disease prognosis is still unknown. We evaluated clinical characteristics, respiratory function and prognostic predictors at diagnosis and at 12 month treatment of pirfenidone or nintedanib in IPF patients according to occupational dust exposure. METHODS: A total of 115 IPF patients were recruited. At diagnosis, we collected demographic, clinical characteristics, occupational history. Pulmonary function tests were performed and two prognostic indices [Gender, Age, Physiology (GAP) and Composite Physiologic Index (CPI)] calculated, both at diagnosis and after the 12 month treatment. The date of long-term oxygen therapy (LTOT) initiation was recorded during the entire follow-up (mean = 37.85, range 12-60 months). RESULTS: At baseline, patients exposed to occupational dust [≥ 10 years (n = 62)] showed a lower percentage of graduates (19.3% vs 54.7%; p = 0.04) and a higher percentage of asbestos exposure (46.8% vs 18.9%; p 0.002) than patients not exposed [< 10 years (n = 53)]. Both at diagnosis and after 12 months of antifibrotics, no significant differences for respiratory function and prognostic predictors were found. The multivariate analysis confirmed that occupational dust exposure did not affect neither FVC and DLCO after 12 month therapy nor the timing of LTOT initiation. CONCLUSION: Occupational dust exposure lasting 10 years or more does not seem to influence the therapeutic effects of antifibrotics and the prognostic predictors in patients with IPF

Plant Dynamic Metabolic Response to Bacteriophage Treatment After Xanthomonas campestris pv. campestris Infection

Periodic epidemics of black rot disease occur worldwide causing substantial yield losses. Xanthomonas campestris pv. campestris (Xcc) represents one of the most common bacteria able to cause the above disease in cruciferous plants such as broccoli, cabbage, cauliflower, and Arabidopsis thaliana. In agriculture, several strategies are being developed to contain the Xanthomonas infection. The use of bacteriophages could represent a valid and efficient approach to overcome this widespread phenomenon. Several studies have highlighted the potential usefulness of implementing phage therapy to control plant diseases as well as Xcc infection. In the present study, we characterized the effect of a lytic phage on the plant Brassica oleracea var. gongylodes infected with Xcc and, for the first time, the correlated plant metabolic response. The results highlighted the potential benefits of bacteriophages: reduction of bacterium proliferation, alteration of the biofilm structure and/or modulation of the plant metabolism and defense response

Thrombectomy for Large‐Vessel Occlusion With Pretreatment Intracranial Hemorrhage

Background Many patients treated with endovascular thrombectomy (EVT) in clinical practice would not have qualified for inclusion in the initial clinical trials demonstrating benefit for EVT, yet likely will benefit from reperfusion. One such subset for which data are sparse is patients with emergent large‐vessel occlusion and concomitant intracranial hemorrhage (ICH). The objective of this report is to document patients who underwent thrombectomy for large‐vessel occlusion in the presence of concomitant ICH and evaluate their clinical characteristics and outcomes. Methods We retrospectively reviewed prospectively collected patient records at 4 comprehensive stroke centers from 2012 to 2019. Patients were identified who had pre‐EVT ICH. Data collected included baseline patient demographics and laboratory values, stroke characteristics, ICH radiographic variables, antiplatelet/anticoagulant/thrombolytic medication use, and procedural factors. The primary safety outcome was any worsening of ICH on neuroimaging obtained 24 hours after EVT. Results Eight patients were identified who underwent thrombectomy with concomitant ICH. The mean age was 71.9 years (range, 37–90). Median National Institutes of Health Stroke Scale score was 25 (interquartile range, 16.5–28.8), and 5 (63%) received tissue plasminogen activator. All patients underwent EVT and had mTICI2B or greater reperfusion. In 7 patients (88%), the initial ICH remained stable on postprocedure imaging. In 1 patient who received intravenous antiplatelet agents during thrombectomy, the hemorrhagic transformation was radiographically increased but without clinical correlate or mass effect. Conclusions In a multi‐institution evaluation of 8 patients with ICH at the time of thrombectomy, 1 patient had radiographic worsening of hemorrhage, and no patient experienced clinical worsening related to hemorrhage progression. These findings suggest that thrombectomy may be safe in this population

Perceptions of STEM and Liberal Arts Policy in Florida

The promotion of STEM (Science, Technology, Engineering, and Mathematics) education is similar to the rhetoric of the Space Race. Only 19% of U.S. degrees are in STEM fields, compared to over 50% in China (National Science and Technology Council, 2013). Policy makers like President Obama, New Jersey Governor Chris Christie, and Maryland Governor Martin O'Malley tie STEM investment directly to economic impact, using language similar to the rhetoric President Eisenhower utilized to promote the National Defense Education Act (NDEA) of 1958. Florida Governor Rick Scott places STEM in zero-sum competition against liberal arts subjects with the rationale of stimulating economic growth. I surveyed and interviewed Florida policy makers to explore their perceptions of STEM and liberal arts fields. I wanted to know how these perceptions influenced policy formation. I examined press releases to identify trends and messaging from Governor Scott's office. The majority of policy actors supported balanced positions on the 7-point Likert scale survey items, recognizing the economic importance of STEM education while also noting the value of liberal arts disciplines. However, when given the freedom to respond in open-ended survey items and semi-structured interviews, many policy makers revealed positions closer to the zero-sum strategies of Governor Scott. They were dismissive of the utility of liberal arts subjects, and saw them as frivolous and unnecessary. Other participants defended the value of the liberal arts and saw them as a necessary component of a tertiary education. My research demonstrates that the relationship between higher education and economic impact is unpredictable. To maximize economic growth, universities should produce opportunistic communicators who recognize opportunities in the Information Age economy and communicate to consumers across state and national borders. Zero-sum competitions between STEM and the liberal arts are unnecessary and detrimental in a non-zero-sum global economy