Astroparticle Physics with ARGO-YBJ experiment

2large, made by a layer of Resistive Plate Counters (RPCs) consisting of a central carpet with almost full coverage extending over an area of about 5.500 m 2 , surrounded by a guard ring with partial coverage. The high space-time granularity, the full-coverage technique and the hi gh altitude location make this detector a unique device for a detailed study of the atmospher ic shower characteristics with an energy threshold of a few hundred GeV. These properties in addition to the large field of view and the high duty cycle enable the ARGO-YBJ experiment to monitor the sky in a continuous way. Results have been reached in a wide variety of fiel ds ranging from Gamma Astronomy, to Solar Physics, from Cosmic Rays composition to hadronic interactions and proton-antiproton ratio. A summary of all these results will be presented and reviewed

Enhancing Surface Soil Moisture Estimation through Integration of Artificial Neural Networks Machine Learning and Fusion of Meteorological, Sentinel-1A and Sentinel-2A Satellite Data

For many environmental and agricultural applications, an accurate estimation of surface soil moisture is essential. This study sought to determine whether combining Sentinel-1A, Sentinel-2A, and meteorological data with artificial neural networks (ANN) could improve soil moisture estimation in various land cover types. To train and evaluate the model’s performance, we used field data (provided by La Tuscia University) on the study area collected during time periods between October 2022, and December 2022. Surface soil moisture was measured at 29 locations. The performance of the model was trained, validated, and tested using input features in a 60:10:30 ratio, using the feed-forward ANN model. It was found that the ANN model exhibited high precision in predicting soil moisture. The model achieved a coefficient of determination (R2) of 0.71 and correlation coefficient (R) of 0.84. Furthermore, the incorporation of Random Forest (RF) algorithms for soil moisture prediction resulted in an improved R2 of 0.89. The unique combination of active microwave, meteorological data and multispectral data provides an opportunity to exploit the complementary nature of the datasets. Through preprocessing, fusion, and ANN modeling, this research contributes to advancing soil moisture estimation techniques and providing valuable insights for water resource management and agricultural planning in the study area

Epidemiology and burden of Rotavirus-associated hospitalizations in Ferrara, Italy

Objective of this study was to provide data on hospitalizations for rotavirus gastroenteritis (RVGE) in Ferrara, Italy. The study was conducted analyzing the hospital discharge forms of all children admitted to the Pediatric Department of the University of Ferrara, Arcispedale Sant'Anna, from January 2001 through December 2005. The database was searched for all gastrointestinal diseases and in particular RVGE. During the period under study 3277 children, of which 2038 inf.60 months of age, were hospitalized; 247 children inf.5 years old were admitted for acute gastroenteritis and 89 (4.4% of all and 36% of gastroenteritis-related hospitalizations) had rapid screening tests positive for rotavirus. A seasonal pattern was observed for RVGE with an increase in winter and early spring. The average length of hospital stay was 5.7 days. The median cost of each hospitalized case of RVGE ranged between 1417 and 1595 Euros. The present research confirms that rotavirus gastroenteritis represents an important cause of hospitalization in children and is responsible for significant costs for the Public Health Care System. An effective vaccination program could significantly reduce the incidence of hospitalization and the associated costs

A GeoNode-based platform for an effective exploitation of advanced DInSAR measurements

This work presents the development of an efficient tool for managing, visualizing, analysing, and integrating with other data sources, the deformation time-series obtained by applying the advanced differential interferometric synthetic aperture radar (DInSAR) techniques. To implement such a tool we extend the functionalities of GeoNode, which is a web-based platform providing an open source framework based on the Open Geospatial Consortium (OGC) standards, that allows development of Geospatial Information Systems (GIS) and Spatial Data Infrastructures (SDI). In particular, our efforts have been dedicated to enable the GeoNode platform to effectively analyze and visualize the spatio/temporal characteristics of the DInSAR deformation time-series and their related products. Moreover, the implemented multi-thread based new functionalities allow us to efficiently upload and update large data volumes of the available DInSAR results into a dedicated geodatabase. The examples we present, based on Sentinel-1 DInSAR results relevant to Italy, demonstrate the effectiveness of the extended version of the GeoNode platform

The frequency of polidrug use in a driving population in Rome

In Italy the illicit substances routinely tested are cannabinoids, cocaine, opiates, amphetamines / methamphetamine, MDMA and similar but these substances are not the most use in our country. In particular, the consumption of ketamine represents an emerging problem. Ketamine is a anesthetic with hallucinogenic and dissociative effects and these are the ones sought for the voluptuary pur-pose, while the amnesic effect are exploited for drug facilitated sexual assault. Our study was car-ried out to assess the positivity for the illicit substances routinely tested and also for ketamine in a population of 182 patients arrived at the emergency room of the Hospital “San Camillo Forlanini” of Rome, for which have been required toxicological tests on the basis of Articles 186 and 187 of the New Highway Code. The choice of this kind of population allows to have an accurate and reliable epidemiological data about the real diffusion of voluptuary use of drugs. The study examines 182 samples subjected to routine toxicological investigations in the period be-tween October 2011 and August 2012. The Authors have researched the presence of ethanol, cannabinoids, cocaine, opiates, amphetamines and benzodiazepines with the use of “ADVIA Chemistry Systems ”, while the ketamine is tested by a single-phase tests on urine [Sure Screen Diagnostic (Di. Ra.Lab)] with a cut-off level of this method is 1000ng/ml. During this period we have considered 182 patients (males 78%, females 22%). The mean age was 34 years (standard deviation 13, minimum 15, maximum 80). Most of the admission were during the last days of the week (Thursday 17%, Friday 15%, Saturday 15% and Sunday 17%). With re-spect to the clinical needs of subjects admitted, 42% were admitted with a red code. Considering a single substance analysis, 46 subjects resulted positive to alcohol (25%), 38 to can-nabinoids (21%), 24 to opioids (13%), 20 to cocaine (11%), 19 to benzodiapezine (10%) and 7 to ketamine (4%). Among those who resulted positive to at least one substance (95, 52% of the sample) 55 subjects re-sulted positive to one substance (58%), 27 to two substances (28%) and 13 to three or more substances (13%). Poly-use was evaluated with an indicator previously proposed by Fabi et al in 2013. This resulted in a polydrug-use score equal to 2.93 (standard deviation 1.7, minimum 1.5, maximum 9.25)

Genetic Analysis of Ten Gonosomal STR Loci in an Italian Population Using the Elucigene QSTR-XY Amplification Kit

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The MATHUSLA Test Stand

The rate of muons from LHC $pp$ collisions reaching the surface above the ATLAS interaction point is measured and compared with expected rates from decays of $W$ and $Z$ bosons and $b$- and $c$-quark jets. In addition, data collected during periods without beams circulating in the LHC provide a measurement of the background from cosmic ray inelastic backscattering that is compared to simulation predictions. Data were recorded during 2018 in a 2.5 $\times$ 2.5 $\times$ 6.5~$\rm{m}^3$ active volume MATHUSLA test stand detector unit consisting of two scintillator planes, one at the top and one at the bottom, which defined the trigger, and six layers of RPCs between them, grouped into three $(x,y)$-measuring layers separated by 1.74 m from each other. Triggers selecting both upward-going tracks and downward-going tracks were used.Comment: 18 pages, 11 figures, 1 tabl