Tiagabine in glial tumors.

Preliminary reports have suggested a possible 'aetiology-specific' efficacy of tiagabine (TGB) in patients with drug-resistant partial epilepsy (DRPE) related to cerebral glial tumors (GTs). This efficacy should be related to selective blocking of GAT-1 transporter by TGB. We presented our open-label, add-on TGB experience in a group of patients with GTs, compared with other symptomatic DRPEs of different aetiology.eleven patients with DRPE related to oligodendroglioma (six cases), astrocytoma (4) or multiform gliobastoma (1); 12 patients with DRPE related to a miscellanea of CNS lesions. TGB was added to previous AEDs, at dosage of 20-60 mg per die. Responders are defined by seizure frequency reduction >50\% compared with baseline.Seven patients are responders with three seizure-free (SF) in GTs group, a rate of efficacy much higher than in matching group (63.6 vs. 16.6\%). Adverse events have been observed only rarely, not leading to discontinuation, in GTs group.This preliminary observation seems to confirm the high efficacy and tolerability of TGB in DRPE related to GTs

MULTI-CAMERA SYSTEM CALIBRATION OF A LOW-COST REMOTELY OPERATED VEHICLE FOR UNDERWATER CAVE EXPLORATION

Exploration, documentation and mapping of underwater environment is one of the biggest open challenges for science and engineering. Humankind is not naturally designed to operate in water and, despite the enormous technological advancement that offers nowadays unprecedented opportunities, diving and working underwater is still very dangerous, especially in confined spaces such as underwater caves. Great research efforts are currently devoted to underwater autonomous navigation, but available solutions still mainly rely on complex and expensive systems, due to the difficulty of adapting localization and mapping sensors and algorithms suited for terrestrial or aerial applications. However, small and affordable underwater remotely operated vehicles (ROVs) are available, which offer good opportunities for underwater exploration and mapping. This paper focuses on the development of a small, low-cost ROV designed for 3D mapping of underwater environments, like caves. The system is based on a commercially available vehicle, the BluRov2, and relies on the use of up to 12 action cameras (GoPro) mounted on it. A trifocal camera system for underwater real-time visual odometry can also be included. The work describes the photogrammetric procedure developed for the synchronization and calibration of the GoPro cameras and provides a thorough analysis on the achievable results

Prognostic factors facilitating multiple food allergies and atopiv march occurrence in children with Non-IgE mediated gastrointestinal Food Allergy: results of two years follow up of the NIGEFA project

Objectives and Study: Non-IgE mediated gastrointestinal food allergies (non-IgE-GIFA) are an increasing problem in pediatric gastroenterology clinical practice. These conditions include food protein-induced: enterocolitis syndrome (FPIES), enteropathy (FPE), allergic proctocolitis (FPIAP), and motility disorders (FPIMD). The NIGEFA project is focused on the investigation of main clinical features, prognostic factors (presence atopic dermatitis (AD), multiple food allergies, diagnostic delay, and familial history of allergy), and natural history (atopic march (AM) prevalence and timing of immune tolerance acquisition). Methods: Prospective observational study evaluating children with non-IgE-GIFA diagnosed according to standard criteria observed at a tertiary center for pediatric gastroenterology and allergy (both sexes, aged <36 m, follow up 12 m after diagnosis). Main anamnestic, demographic, and clinical data were collected from all enrolled patients. Immune tolerance acquisition was evaluated by the result of oral food challenge. Results: A total of 100 patients were enrolled: 58% male, mean age at diagnosis (SD) 8.5(8.8) m. Non-IgE-GIFA conditions were: FPE (44%), FPIES (11%), FPIAP (18%), FPIMD (27%). Mean diagnostic delay was 5.3 (7.4) m. Multiple non-IgE-GIFA were observed in 47% at baseline. Familial history of allergy was observed in 64% of subjects. Presence of AD before the onset of non-IgE-GIFA was observed in 40% of subjects. The overall rate of immune tolerance acquisition at 12 m was 27%, with a higher rate in FPIAP (44%) compared with FPIMD (29.6%), FPE (22.7%) and FPIES (9.1%) subjects (p<0.05). The rate of immune tolerance acquisition at 12 m was significantly lower in children with familial history of allergy (-48%, estimated risk ratio (RR)0.52 (95% CI 0.28 to 0.99, p<0.05)) and in those with multiple non-IgE-GIFA (-61%, RR at 12 m 0.39 (95% CI 0.18 to 0.85, p<0.05)). At 12 m follow up, the rate of subjects presenting AM was 24% with no difference among the 4 disease groups. The occurrence of AM was significantly higher in subjects with multiple (38%) vs. mono non-IgE-GIFA (11%) (p<.001) at baseline, with an estimated RR of 3.38 (95% CI 1.47 to 7.81, p<0.01) at 12 m. Moreover, for every 1-month of diagnostic delay there was an increase of 1.04 RR(95% CI 1.01 to 1.07) of AM occurrence at 12 m. No associations with other potential predictors (sex, familial allergy risk, AD before the onset of GIFA, type of non-IgE-GIFA) were found. Conclusions: These data shed lights on prognostic factors and natural history of non-IgE-GIFA suggesting the importance of early diagnosis in preventing the occurrence of AM occurrence in these patients. Contac

Predicting the Next Best View for 3D Mesh Refinement

3D reconstruction is a core task in many applications such as robot navigation or sites inspections. Finding the best poses to capture part of the scene is one of the most challenging topic that goes under the name of Next Best View. Recently, many volumetric methods have been proposed; they choose the Next Best View by reasoning over a 3D voxelized space and by finding which pose minimizes the uncertainty decoded into the voxels. Such methods are effective, but they do not scale well since the underlaying representation requires a huge amount of memory. In this paper we propose a novel mesh-based approach which focuses on the worst reconstructed region of the environment mesh. We define a photo-consistent index to evaluate the 3D mesh accuracy, and an energy function over the worst regions of the mesh which takes into account the mutual parallax with respect to the previous cameras, the angle of incidence of the viewing ray to the surface and the visibility of the region. We test our approach over a well known dataset and achieve state-of-the-art results.Comment: 13 pages, 5 figures, to be published in IAS-1

A newly identified galaxy group thanks to tidal streams of intragroup light

In the accretion-driven growth scenario, part of the intracluster light is formed in the group environment. We report the serendipitous discovery of a group of galaxies with signs of diffuse light in the foreground of the known galaxy cluster MACS J0329-0211 at z=0.45. Our investigation began with the detection of diffuse light streams around a pair of bright galaxies in the southeastern region of a Suprime-Cam image of the galaxy cluster MACS J0329-0211. Our analysis is based on the extended CLASH-VLT redshift catalog and on new spectroscopic data obtained ad hoc with the Italian Telescopio Nazionale Galileo. We use the density reconstruction method to analyze the redshift distribution of the galaxies in the region around the galaxy pair. We also use available photometric and X-ray data to better characterize the properties of the group. Thanks to the large amount of redshift data collected in this region, we have been able to discover the existence of a group of galaxies, here called GrG J0330-0218, which is associated with the pair of galaxies. These are the two brightest group galaxies (BGG1 and BGG2). We extracted 41 group members from the redshift catalog and estimate a mean redshift z=0.1537 and a line-of-sight velocity dispersion sigmav=370 km/s. In the phase-space diagram, the distribution of the galaxies of GrG J0330-0218 follows the characteristic trumpet-shaped pattern, which is related to the escape velocity of galaxy clusters, suggesting that the group is a virialized structure. Under this assumption, the mass of the group is M200 about 6E13 Msun. We also measured a mass-to-light ratio of 130 Msun/Lsun and a luminosity fraction of diffuse light of about 20% within 0.5 R200. We conjecture that galaxy pairs that are surrounded by diffuse light, probably due to tidal interactions, can serve as signposts for groups.Comment: Astronomy & Astrophysics accepted, 13 pages, 10 figure

Efficacy of ginger as antiemetic in children with acute gastroenteritis: a randomised controlled trial

Background: Ginger is a spice with a long history of use as a traditional remedy for nausea and vomiting. No data on the efficacy of ginger are presently available for children with vomiting associated with acute gastroenteritis (AGE). Aim: To test whether ginger can reduce vomiting in children with AGE. Methods: Double-blind, randomised placebo-controlled trial in outpatients aged 1 to 10 years with AGE-associated vomiting randomised to ginger or placebo. The primary outcome was the occurrence of ≥1 episode of vomiting after the first dose of treatment. Severity of vomiting and safety were also assessed. Results: Seventy-five children were randomised to the ginger arm and 75 to the placebo arm. Five children in the ginger arm and 4 in the placebo arm refused to participate in the study shortly after randomisation, leaving 70 children in the ginger arm and 71 in the placebo arm (N = 141). At intention-to-treat analysis (N = 150), assuming that all children lost to follow-up had reached the primary outcome, the incidence of the main outcome was 67% (95% CI 56 to 77) in the ginger group and 87% (95% CI 79 to 94) in the placebo group, corresponding to the absolute risk reduction for the ginger versus the placebo group of −20% (95% CI −33% to −7%, P = 0.003), with a number needed to treat of 5 (95% CI 3 to 15). Conclusion: Oral administration of ginger is effective and safe at improving vomiting in children with AGE. Trial registration: The trial was registered on https://clinicaltrials.gov/ with the identifier NCT02701491

EVALUATION OF VISION-BASED LOCALIZATION AND MAPPING TECHNIQUES IN A SUBSEA METROLOGY SCENARIO

Metrology is fundamental in all the applications that require to qualify, verify and validate measured data according to standards or, in other words, to assess their compliance with predefined tolerances. At sea, metrology is commonly associated with the process of measuring underwater structures, mainly pipeline elements widely used in offshore industry. Subsea operations are very expensive; optimizing time and money resources are the core factors driving innovation in the subsea metrology industry. In this study, the authors investigate the use of state-of-art vision-based algorithms, i.e. ORB-SLAM2 and Visual Odometry, as a navigation tool to assist and control a Remotely Operated Vehicle (ROV) while performing subsea metrology operations. In particular, the manuscript will focus on methods for assessing the accuracy of both trajectory and tie points provided by the tested approaches and evaluating whether the preliminary real time reconstruction meets the tolerances defined in typical subsea metrology scenarios