Use of the molecular beam mass spectrometry to study the low-temperature combustion chemistry.

With the aim to reduce the global pollution caused by the increasing levels of NOx, CO and CO2 emitted by internal combustion engines, the study of low-temperature chemistry (LTC) of the combustion process has been greatly enhanced. The goal of this thesis work is to evaluate the performances of the time-of-flight Molecular Beam Mass Spectrometry (TOF-MBMS) in the analysis of the oxidation of propane at low temperature with strong interest in the detection of fleeting species to verify the low-temperature oxidation mechanism. To do that we performed two different experiments: propane oxidation in jet stirred reactor and ozone activated cool diffusion flame in a counterflow setup. The first was carried out flowing a mixture of C3H8/O2/Ar with molar fraction 2/13/85%, respectively, corresponding to a equals to 0.77, in the temperature range 750-1100 K and residence time τ=1 s. To support the results obtained from MBMS, we analyzed the propane oxidation in the same conditions with the gas chromatograph (GC) technique. The results have been compared with the MBMS ones showing good agreement for most of the analysed species. Numerical simulations of the molar fraction of all species were performed and compared with experimental data. The results indicate that the model well predicts the trends of the molar fraction of the species, except for C2H2 and the allyl radical. The onset of the reaction is predicted at a lower temperature than in the experiment. In cool flame experiments the fuel/N2 and O2/O3 streams are facing each other and both propane and n-butane were used as fuel. In propane experiments a 50/50% C3H8/N2 mixture has been used with O2 flow rate of 5 dm3/min, which corresponds to an ozone concentration of 5.94%. For n-butane tests the mixture used was 45/55% for C4H10/N2, O2 flow rate 7 dm3/min and ozone concentration of 5.02%. Numerical analysis was performed showing a good prediction of flame position and species profiles through the reaction zone

An IoT-aware AAL System to Capture Behavioral Changes of Elderly People

The ageing of population is a phenomenon that is affecting the majority of developed countries around the world and will soon affect developing economies too. In recent years, both industry and academia are focused on the development of several solutions aimed to guarantee a healthy and safe lifestyle to the elderly. In this context, the behavioral analysis of elderly people can help to prevent the occurrence of Mild Cognitive Impairment (MCI) and frailty problems. The innovative technologies enabling the Internet of Things (IoT) can be used in order to capture personal data for automatically recognizing changes in elderly people behavior in an unobtrusive, low-cost and low-power modality. This work aims to describe the ongoing activities within the City4Age project, funded by the Horizon 2020 Programme of the European Commission, mainly focused on the use of IoT technologies to develop an innovative AAL system able to capture personal data of elderly people in their home and city environments. The proposed architecture has been validated through a proof-of-concept focused mainly on localization issues, collection of ambient parameters, and user-environment interaction aspects

Early exploitation of Neapolitan pozzolan (pulvis puteolana) in the Roman theatre of Aquileia, Northern Italy

: The paper reports the results of the analyses on mortar-based materials from the Roman theatre of Aquileia (Friuli Venezia Giulia, Northern Italy), recently dated between the mid-1st Century BCE and the mid-1st Century CE. Samples were characterized by Polarized Light Microscopy on thin sections (PLM), Scanning Electron Microscopy with Energy Dispersive Spectroscopy (SEM-EDS) and Quantitative Phase Analysis by X-Ray Powder Diffraction (QPA-XRPD). Pyroclastic aggregates (mainly pumices and scattered tuffs), incompatible with the regional geology, were found in two samples from the preparation layers of the ground floor of the building. Their provenance was determined by means of QPA-XRPD, SEM-EDS, X-Ray Fluorescence (XRF) and Laser-Ablation Inductively-Coupled-Plasma Mass-Spectrometry (LA-ICP-MS). Mineralogical and geochemical analyses demonstrated their provenance from the Bay of Naples, thus recognizing them as pulvis puteolana, a type of pozzolanic aggregate outcropping around the modern town of Pozzuoli and prescribed by Vitruvius (De Architectura, 2.6.1) in mortar-based materials to strengthen masonries and produce hydraulic concrete for harbor piers. This evidence represents the oldest analytically-established case of pulvis puteolana exploitation in Northern Italy up to now, and an early use of the material out of Campania adapted for civil constructions in a non-strictly maritime-related environment. Indeed, the theatre was built in the low-lying Aquileia's deltaic plain, prone to water infiltrations that are typical in lagoon-like environments. The data highlight the craftsmen's resilience in adapting and reinterpreting the traditional use of the Neapolitan volcanic materials to deal with the geomorphological challenges of Aquileia's lowland

Automated segmentation of colorectal tumor in 3D MRI Using 3D multiscale densely connected convolutional neural network

The main goal of this work is to automatically segment colorectal tumors in 3D T2-weighted (T2w) MRI with reasonable accuracy. For such a purpose, a novel deep learning-based algorithm suited for volumetric colorectal tumor segmentation is proposed. The proposed CNN architecture, based on densely connected neural network, contains multiscale dense interconnectivity between layers of fine and coarse scales, thus leveraging multiscale contextual information in the network to get better flow of information throughout the network. Additionally, the 3D level-set algorithm was incorporated as a postprocessing task to refine contours of the network predicted segmentation. The method was assessed on T2-weighted 3D MRI of 43 patients diagnosed with locally advanced colorectal tumor (cT3/T4). Cross validation was performed in 100 rounds by partitioning the dataset into 30 volumes for training and 13 for testing. Three performance metrics were computed to assess the similarity between predicted segmentation and the ground truth (i.e., manual segmentation by an expert radiologist/oncologist), including Dice similarity coefficient (DSC), recall rate (RR), and average surface distance (ASD). The above performance metrics were computed in terms of mean and standard deviation (mean ± standard deviation). The DSC, RR, and ASD were 0.8406 ± 0.0191, 0.8513 ± 0.0201, and 2.6407 ± 2.7975 before postprocessing, and these performance metrics became 0.8585 ± 0.0184, 0.8719 ± 0.0195, and 2.5401 ± 2.402 after postprocessing, respectively. We compared our proposed method to other existing volumetric medical image segmentation baseline methods (particularly 3D U-net and DenseVoxNet) in our segmentation tasks. The experimental results reveal that the proposed method has achieved better performance in colorectal tumor segmentation in volumetric MRI than the other baseline techniques

A Web-based Software System for Behavior Analysis of Laboratory Animals

The analysis of locomotion in laboratory animals plays a crucial role in many scientific research areas. In fact, important information on animals’ behavior and their reaction to a particular stimulus is deduced from a careful analysis of their movements. The techniques commonly adopted to support such analysis have many limitations, which make the related systems particularly ineffective. On the one hand, the human observation and annotation process is strongly observer-dependent and expensive in terms of time and efforts. On the other hand, the use of more sophisticated systems based on video recordings and recognition algorithms is very expensive and complex. In order to face this challenge, this paper presents a tracking solution based on passive Radio Frequency Identification (RFID) technology in Ultra High Frequency (UHF) band, allowing the tracking of laboratory animals with a high accuracy. The overall solution consists of a hybrid system including hardware and software components. In particular, in this paper, the attention is focused on the software component as the hardware has already been described in previous works. The software component is a Web-oriented solution that offers a complete 2D and 3D information tool including reports, dashboards, and tracking graphs. The proposed solution was widely tested using twelve laboratory mice and compared with an automated video-tracking software (i.e., EthoVision) in order to demonstrate its effectiveness and reliability. The obtained results have demonstrated that the proposed solution is able to correctly detect and reconstruct the events occurring in the animals’ cage, and to offer a complete and user-friendly tool to support researchers in behavioral analysis of small laboratory animals

A live-online mindfulness-based intervention for children living with epilepsy and their families: protocol for a randomized controlled trial of Making Mindfulness Matter©.

BACKGROUND: Epilepsy extends far beyond seizures; up to 80% of children with epilepsy (CWE) may have comorbid cognitive or mental health problems, and up to 50% of parents of CWE are at risk for major depression. Past research has also shown that family environment has a greater influence on children\u27s and parents\u27 health-related quality of life (HRQOL) and mental health than epilepsy-related factors. There is a pressing need for low-cost, innovative interventions to improve HRQOL and mental health for CWE and their parents. The aim of this randomized controlled trial (RCT) is to evaluate whether an interactive online mindfulness-based intervention program, Making Mindfulness Matter (M3), can be feasibly implemented and whether it positively affects CWE\u27s and parents\u27 HRQOL and mental health (specifically, stress, behavioral, depressive, and anxiety symptoms). METHODS: This parallel RCT was planned to recruit 100 child-parent dyads to be randomized 1:1 to the 8-week intervention or waitlist control and followed over 20 weeks. The intervention, M3, will be delivered online and separately to parents and children (ages 4-10 years) in groups of 4-8 by non-clinician staff of a local community epilepsy agency. The intervention incorporates mindful awareness, social-emotional learning skills, and positive psychology. It is modeled after the validated school-based MindUP program and adapted for provision online and to include a parent component. DISCUSSION: This RCT will determine whether this online mindfulness-based intervention is feasible and effective for CWE and their parents. The proposed intervention may be an ideal vector to significantly improve HRQOL and mental health for CWE and their parents given its low cost and implementation by community epilepsy agencies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04020484 . Registered on July 16, 2019

Real life long-term efficacy and safety of rhGH therapy in children with SHOX deficiency

Objective: This Italian survey aims to evaluate real-life long-term efficacy and safety of rhGH therapy in children with short stature homeobox-containing gene deficiency disorders (SHOX-D) and to identify potential predictive factors influencing response to rhGH therapy. Design and methods: This is a national retrospective observational study collecting anamnestic, anthropometric, clinical, instrumental and therapeutic data in children and adolescents with a genetic confirmation of SHOX-D treated on rhGH. Data were collected at the beginning of rhGH therapy (T0), yearly during the first 4 years of rhGH therapy (T1, T2, T3, T4) and at near-final height (nFH) (T5), when available. Results: 117 SHOX-D children started rhGH therapy (initial dose 0.23 ± 0.04 mg/kg/week) at a mean age of 8.67 ± 3.33years (74% prepubertal), 99 completed the 1st year of treatment, and 46 reached nFH. During rhGH therapy, growth velocity (GV) SDS and height (H) SDS improved significantly. Mean H SDS gain from T0 was +1.14±0.58 at T4 and +0.80 ± 0.98 at T5. Both patients carrying mutations involving intragenic SHOX region (group A) and ones with regulatory region defects (group B) experienced a similar beneficial therapeutic effect. The multiple regression analysis identified the age at the start of rhGH treatment (β -0.31, p = 0.030) and the GV during the first year of rhGH treatment (β 0.45, p = 0.008) as main independent predictor factors of height gain. During rhGH therapy, no adverse event of concern was reported. Conclusions: Our data confirm the efficacy and safety of rhGH therapy in SHOX-D children, regardless the wide variety of genotype

Protocol of the Italian Radical Cystectomy Registry (RIC): a non-randomized, 24-month, multicenter study comparing robotic-assisted, laparoscopic, and open surgery for radical cystectomy in bladder cancer

Bladder cancer is the ninth most common type of cancer worldwide. In the past, radical cystectomy via open surgery has been considered the gold-standard treatment for muscle invasive bladder cancer. However, in recent years there has been a progressive increase in the use of robot-assisted laparoscopic radical cystectomy. The aim of the current project is to investigate the surgical, oncological, and functional outcomes of patients with bladder cancer who undergo radical cystectomy comparing three different surgical techniques (robotic-assisted, laparoscopic, and open surgery). Pre-, peri- and post-operative factors will be examined, and participants will be followed for a period of up to 24\u2009months to identify risks of mortality, oncological outcomes, hospital readmission, sexual performance, and continence