Tool-automation for supporting the DSL learning process

Recent technologies advances reduced significantly the effort needed to develop Domain Specific Languages (DSLs), enabling the transition to language oriented software development. In this scenario new DSLs are developed and evolve at fast-pace, to be used by a small user-base. This impose a large effort on users to learn the DSLs, while DSL designers can use little feedback to guide successive evolutions, usually just based on anecdotal considerations. We advocate that a central challenge with the proliferation of DSLs is to help users to learn the DSL and providing useful analyses to the language designers, to understand what is working and what is not in the developed DSL. In this position paper we sketch possible directions for tool-automation to support the learning processes associated with DSL adoption and to permit faster evolution cycles of the DSLs

Unsegmented long-term time-dependent modeling of the Nankai subduction zone (Japan)

The authors have recently presented a harmonized framework that unifies state-of-the-art methodologies for relaxing fault segmentation assumptions, including time-dependent earthquake occurrence and accounting for fault interaction. This framework has so far only been applied to shallow crustal faults, which are the typical focus of recent advancements in fault-based probabilistic seismic hazard analysis (PSHA). The methodological study presented in this paper is a first attempt to extend this framework to a subduction zone. The case study presented herein concerns the 900-km long Nankai subduction zone in South Japan. This work highlights several challenges with implementing the considered framework to subduction zones, emphasizing possible future research efforts that could improve the results presented in this study. In particular, it is concluded that (1) down-dip discretization of subduction zones should be used along with the along-strike discretization currently used for shallow crustal faults; (2) further research is needed to develop a standard physically-motivated approach to generate viable ruptures for subduction zones; (3) plate convergence rate and interplate coupling coefficients (i.e., heterogeneity of the coupling ratio defined as the slip rate divided by the plate convergence rate) should be explored and explicitly accounted for as part of the epistemic uncertainty in the hazard assessment; (4) 2D functions describing the shape of the average single-event slip should be developed

The transbonchial lung biopsy for diagnosis of diffuse parenchymal lung disease; Pro

The diagnosis of diffuse parenchymal lung disease (DPLD) may require invasive procedures after all noninvasive tools have failed. The clinical context in which these diseases develop and the radiological patterns are crucial for defining the timing and the methods to be used. After the introduction in clinical practice of HRCT scan, the evaluation of imaging patterns, along with the immunological status of the patient and the clinical course of the disease (acute vs. chronic) seem to be crucial to choose the best diagnostic procedure

Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review

Objective: Although interstitial lung disease (ILD) is a major cause of morbidity and mortality in systemic sclerosis (SSc), its prognostication remains challenging. Given that CT represents the gold standard imaging technique in ILD assessment, a systematic review on chest CT findings as predictors of mortality or ILD progression in SSc-ILD was performed. Materials and Methods: Three databases (Medline, Embase, and Web of Science) were searched to identify all studies analyzing CT mortality or ILD progression predictors in SSc-ILD, from inception to December 2020. ILD progression was defined by worsening of forced vital capacity and/or CT ILD findings. Manuscripts not written in English, with not available full-text, not focusing on SSc-ILD or with SSc-ILD not extrapolated, otherwise with overlap syndromes, pediatric patients, <10 cases or predictors other than CT features were excluded. Results: Out of 3,513 citations, 15 full-texts (2,332 patients with SSc-ILD) met the inclusion criteria. ILD extent and extensive ILD, ILD densitometric analysis parameters, fibrotic extent and reticulation extent resulted as independent mortality predictors. Extensive ILD is also an independent predictor of death, need for supplemental oxygen or lung transplantation. Honeycombing extent is an independent risk factor for respiratory mortality. Independent predictors of ILD progression were not identified. Conclusions: ILD extent and extensive ILD independently predict mortality in SSc-ILD on CT, as well as ILD densitometric analysis, fibrotic extent and reticulation extent. Extensive ILD is also a predictor of death, need for supplemental oxygen, or lung transplantation. Honeycombing extent predicts respiratory mortality. CT predictors of ILD progression need to be further investigated. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, PROSPERO, identifier: CRD420202005001

Penetrating particle ANalyzer (PAN)

PAN is a scientific instrument suitable for deep space and interplanetary missions. It can precisely measure and monitor the flux, composition, and direction of highly penetrating particles ($> \sim$100 MeV/nucleon) in deep space, over at least one full solar cycle (~11 years). The science program of PAN is multi- and cross-disciplinary, covering cosmic ray physics, solar physics, space weather and space travel. PAN will fill an observation gap of galactic cosmic rays in the GeV region, and provide precise information of the spectrum, composition and emission time of energetic particle originated from the Sun. The precise measurement and monitoring of the energetic particles is also a unique contribution to space weather studies. PAN will map the flux and composition of penetrating particles, which cannot be shielded effectively, precisely and continuously, providing valuable input for the assessment of the related health risk, and for the development of an adequate mitigation strategy. PAN has the potential to become a standard on-board instrument for deep space human travel. PAN is based on the proven detection principle of a magnetic spectrometer, but with novel layout and detection concept. It will adopt advanced particle detection technologies and industrial processes optimized for deep space application. The device will require limited mass (~20 kg) and power (~20 W) budget. Dipole magnet sectors built from high field permanent magnet Halbach arrays, instrumented in a modular fashion with high resolution silicon strip detectors, allow to reach an energy resolution better than 10\% for nuclei from H to Fe at 1 GeV/n

A comparison of acute phase proteins and traditional risk factors as markers of combined plaque and intima-media thickness and plaque density in carotid and femoral arteries

AbstractObjectives: to test the hypothesis that some acute phase proteins may be better independent predictors of objective measures of arterial wall impairment than traditional risk factors. Design: cross-sectional study. Materials and Methods: C-reactive protein (CRP), fibrinogen, C3 complement and traditional risk factors were measured in 288 men aged 55-64 years, randomly chosen from the local registry lists. By ultrasound assessment of the bifurcations of carotid and femoral arteries, maximum combined plaque/intima-media thickness (CPIMTmax) and mean plaque density (MPD, in a grey scale from 0 to 255) were also measured. Results: in multivariate analysis only traditional risk factors remained associated with the overall CPIMTmax: smoking (r = 0.35, p < 0.0001), cholesterol (r = 0.23, p = 0.0001), age (r = 0.22, p = 0.0002), glucose (r = 0.18, p = 0.002) and systolic blood pressure (r = 0.13, p = 0.02). However, with regard to carotid disease only, fibrinogen was the strongest covariate of CPIMT (r = 0.18, p = 0.002). The overall MPD was independently associated with CRP (r = 0.25, p = 0.0008), physical activity (r = 0.19, p = 0.009), triglycerides (r = −0.18, p = 0.02) and body mass index (r = 0.15, p = 0.04). CRP was mainly associated with femoral MPD, while triglycerides were the major (inverse) covariate of carotid MPD. Conclusions: traditional risk factors are the main determinants of CPIMTmax, although fibrinogen seems to play a role in carotids. CRP was associated with high density femoral plaques. Finally, no acute phase protein was independently associated with low density, potentially vulnerable, plaques.Eur J Vasc Endovasc Surg 26, 81-87 (2003

Test of the photon detection system for the LHCb RICH Upgrade in a charged particle beam

The LHCb detector will be upgraded to make more efficient use of the available luminosity at the LHC in Run III and extend its potential for discovery. The Ring Imaging Cherenkov detectors are key components of the LHCb detector for particle identification. In this paper we describe the setup and the results of tests in a charged particle beam, carried out to assess prototypes of the upgraded opto-electronic chain from the Multi-Anode PMT photosensor to the readout and data acquisition system.Comment: 25 pages, 22 figure

Endobronchial ultrasound in Dieulafoy’s disease of the bronchus: an additional application of EBUS

Dieulafoy’s disease is a rare vascular malformation represented by an abnormally enlarged submucosal arterial vessel. This malformation is mostly found in gastrointestinal tract causing spontaneous bleeding although a few cases have been described in the bronchial tree. Recognizing Dieulafoy’s malformation is crucial for the bronchoscopist in order to avoid biopsy that can lead to a massive hemoptysis, sometimes fatal. In this case report we show the clinical utility of endobronchial ultrasound (EBUS) in the evaluation of bronchial alteration suspicious for Dieulafoy’s malformation