137262 research outputs found
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Il delitto di associazione mafiosa
No full textla fattispecie associativa di tipo mafioso, il concorso esterno, le misure di prevenzion
An insight into photo-catalytic degradation mechanism of persistent pollutants with transition metal oxides and their composites: Photocatalysis mechanism, rate affecting parameters, and removal pathways
No full textPhotocatalysis process in pollution control applications has concerned considerable attention given the increasing seriousness of environmental challenges including water, air, and soil. The present review of state-of-the-art research focuses on the current research trends in the development and application of transition metal oxides [TMOs]-based photocatalysis systems to improve the removal trends of organic pollutants from wastewater and photocatalytic mechanisms. For easy understanding, the up-to-date progress in the construction and design of heterojunction systems such as Type I/Type II heterojunction, p-n heterojunction, p-n-p heterojunction, Z-scheme heterojunction, and C-scheme heterojunction have been defined in detail into four categories based on the TMOs composition and mode of application. This review focuses on the detailed assessment of supported and suspended catalysts, their specific need, methodologies for performance evaluation, and the main factors that influence the removal mechanism. In addition, all the possible advanced and fundamental mechanisms of dye degradation, especially azo dye, triphenylmethane, and indigo dye with different categories of catalysts, are summarized. The current challenges and researcher’s approaches on how they successfully solve the drawbacks as well as future research trends in TMOs-based photocatalytic systems are discussed
Mapping variants in thyroid hormone transporter MCT8 to disease severity by genomic, phenotypic, functional, structural and deep learning integration
No full textPredicting and quantifying phenotypic consequences of genetic variants in rare disorders is a major challenge, particularly pertinent for ‘actionable’ genes such as thyroid hormone transporter MCT8 (encoded by the X-linked SLC16A2 gene), where loss-of-function (LoF) variants cause a rare neurodevelopmental and (treatable) metabolic disorder in males. The combination of deep phenotyping data with functional and computational tests and with outcomes in population cohorts, enabled us to: (i) identify the genetic aetiology of divergent clinical phenotypes of MCT8 deficiency with genotype-phenotype relationships present across survival and 24 out of 32 disease features; (ii) demonstrate a mild phenocopy in ~400,000 individuals with common genetic variants in MCT8; (iii) assess therapeutic effectiveness, which did not differ among LoF-categories; (iv) advance structural insights in normal and mutated MCT8 by delineating seven critical functional domains; (v) create a pathogenicity-severity MCT8 variant classifier that accurately predicted pathogenicity (AUC:0.91) and severity (AUC:0.86) for 8151 variants. Our information-dense mapping provides a generalizable approach to advance multiple dimensions of rare genetic disorders
Phase-Only Synthesis of a Reflecting Surface for Enhancing Coverages in Urban Scenarios
No full textA Phase-Only power pattern synthesis of a flat reflecting surface is presented to scatter a beam with a flat-top shaped pattern in one cut and a cosecant pattern in the other one. Far-field illumination is assumed and the reflecting surface is appointed to reflect the impinging wave into a non-specular direction. Also by comparisons with CST studio suite simulations, the results show how, in a realistic urban scenario, the algorithm is capable to effectively enforce the design specifications
Monitoring of respiration and cardiorespiratory interactions from multichannel seismocardiography signals
No full textSeismocardiography (SCG) uses accelerometers to record cardiac-induced accelerations of the chest wall. Cardiorespiratory interactions cause changes in amplitude and morphology of the SCG signals. Accelerometers can also directly monitor respiration by tracking thoracic inclination. This study thoroughly investigated the influence of accelerometer placement on the monitoring accuracy of respiration and cardiorespiratory interactions from SCG signals. Simultaneous recordings acquired by 16 accelerometers and a respiration belt placed onto 9 subjects’ chests were analyzed. Respiratory signals were estimated considering: (a) chest inclination, (b) amplitude modulation (AM) and (c) morphological changes of SCG signals for each sensor location. For the first time in literature, a continuous description of respiratory-induced changes in SCG morphology was obtained via a morphological similarity index (MSi). The performance of respiratory acts detection and inter-breath intervals (IBIs) estimation was evaluated against the concurrent reference respiration signal. High accuracy was achieved in all three kinds of respiratory signals, with average sensitivity and positive predictive value of 95.8% and 95.5% for chest inclination, 85.9% and 84.4% for AM, 94.3% and 95.7% for MSi. Moreover, IBIs measurements showed non-significant biases and limits of agreement of about ± 0.8 s for chest inclination and MSi, and ± 1 s for AM. Performance achieved by chest inclination and MSi appeared not much influenced by sensor location, while AM showed higher variations. Information on breathing and cardiorespiratory interactions can be accurately obtained via SCG on multiple sites on the chest
Seminarios Complutenses de derecho romano. Revista internacional de derecho romano y tradiciόn romanística
No full textULISSE: Determination of the star formation rate and stellar mass based on the one-shot galaxy imaging technique
No full textContext. Modern sky surveys produce vast amounts of observational data, which makes the application of classical methods for estimating galaxy properties challenging and time-consuming. This challenge can be significantly alleviated by employing automatic machine- and deep-learning techniques.
Aims. We propose an implementation of the ULISSE algorithm to determine the physical parameters of galaxies, in particular, the star formation rates (SFR) and stellar masses (M*), based on composite-colour images alone.
Methods. ULISSE is able to rapidly and efficiently identify candidates from a single image based on photometric and morphological similarities to a given reference object with known properties. This approach leverages features extracted from the ImageNet dataset to perform similarity searches among all objects in the sample. This eliminates the need for extensive neural-network training.
Results. Our experiments were performed on the Sloan Digital Sky Survey. They demonstrate that we are able to predict the joint SFR and M* of the target galaxies within 1 dex in 60% to 80% of cases, depending on the investigated subsample (quiescent and starforming galaxies, early- and late-type, etc.), and within 0.5 dex when we consider these parameters separately. This is approximately twice the fraction obtained from a random guess extracted from the parent population. Additionally, we found that ULISSE is more effective for galaxies with an active star formation than for elliptical galaxies with quenched star formation. Additionally, ULISSE performs more efficiently for galaxies with bright nuclei such as active galactic nuclei.
Conclusions. Our results suggest that ULISSE is a promising tool for a preliminary estimation of SFR and M* for galaxies based only on single images in current and future wide-field surveys (e.g. Euclid and LSST), which target millions of sources nightly
Seismic Vulnerability Assessment of Masonry Churches in Bondeno: A Comparative Analysis of Damage Indices
No full textThis paper investigates the seismic assessment of twenty-three masonry churches located in Bondeno (district of Ferrara, Italy), following the devastating earthquake in May 2012, which resulted in significant casualties and widespread damage to both industrial and historic structures. Many of these historical buildings, including churches, abbeys, palaces, and bell towers, are vital components of the region’s cultural heritage and urgently needed consolidation to reduce their seismic vulnerability and prevent further losses. The study compares three damage indices derived from distinct approaches to assess the seismic vulnerability of the churches. The first approach uses a simplified mechanical model as outlined in the Italian Guidelines for Cultural Heritage (IGCH). The second method employs the AeDES form, which is utilized for damage estimation in the aftermath of earthquakes. The third approach involves a kinematic analysis of various typical macro-elements identified within the church structures. Data for these assessments were collected using the CARTIS Church form, developed by the PLINIVS research centre in collaboration with the Italian Civil Protection Department, to characterize the typological and structural aspects of these ecclesiastical buildings. A comparative analysis of the three indices was conducted, demonstrating the effectiveness of the simplified method in predicting damage to the churches. However, the study notes that further validation is needed to establish the general reliability of this approach
Neutralize or visibilize? An open question
No full textDiscussione sulle migliori strategie per gestire la diversità di genere nel linguaggio, con un focus non esclusivo sulle lingue romanze
