River linear inversion to assess drainage base-level fall history in North-western Apennines and implications on the Alessandria Basin tectonic activity

Drainage network systems are responsive elements to recent active tectonics from among all the topographic features. In geodynamically active areas, fluvial landscapes can record different processes through the formation and current presence of features related to spatial-temporal variation in base-level fall and vertical incision of stream channels. This study focuses on the tectonic evolution of the Alessandria Basin, a synorogenic tectonic basin located at the junction between the Alps and the Apennines, that experienced progressive subsidence during the overthrusting of the Monferrato Thrust Front (the westernmost outer arc of the Apennine belt) onto the Po Foreland Basin. Even though several studies have assessed the Neogene tectonic evolution at a regional scale, rates and timing of the Quaternary activity are still poorly understood in terms of both Alps/Apennines uplift and activity of the compressive front of the Monferrato Arc. In this paper, we applied the method of the river profile linear inversions to reconstruct the base-level fall history of 6 catchments that drain into the Alessandria Basin. We used nine 10Be-derived basin-average denudation rates to constrain the erodibility parameter needed to infer base-level fall rates from χ-transformed river profiles. The results describe the tectonic history of the area in the last ∼5 Ma, documenting increases in base-level fall rate with an initial peak between 3 and 2.5 Ma, and a second between 2 and 1.5 Ma. While the first peak is coeval with the uplift phase that involved most of the northern-central Apennine, the second one suggests an acceleration in subsidence of the Alessandria Basin concurrently with the uplift of the Monferrato Thrust Front

CBCT/ExoCT reconstruction software

Reconstruction algorithm for cone beam CT with conventional and oscillating scanning orbit Disclaimer This software was developed in Matlab environment (MathWorks Inc) by Antonio Minopoli and Antonio Sarno as part of the PRIN project Q-CT funded by the Italian Ministry of University and Research (CUP E53D23012420006). The activity of Antonio Sarno was also part of the Prof-of-Concept project QE-CBCT funded by the Italian Ministry of the Economic Development (MISE) through the Italian Institute of Nuclear Physics (CUP C18H23000670002). Permission of use is hereby granted, free of charge, to any person obtaining a copy of the Software, to deal in the software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, or sell copies of the Software or derivatives. Developers assume no responsibilities whatsoever for the use by other parties of the software and make no guarantees, expressed or implied, about its quality, reliability, or any other characteristics. Although this software can be redistributed and/or modified freely. Software features The developed software permits analytical FDK reconstruction in CBCT, either by using CPU or GPU architecture. It permits sinogram input either for conventional circular scanning geometry or for oscillating geometry as described in the quoted paper. Instruction for the use This MATLAB project implements the Feldkamp-Davis-Kress (FDK) reconstruction algorithm specifically adapted for cone beam computed tomography (CBCT) with an oscillating scanning orbit. The algorithm is designed to handle the source overlapping introduced by the oscillating orbit, providing accurate 3D reconstructions from cone beam data. It was developed and tested on Matlab R2024a and Windows OS List additional toolboxes required Image Processing Toolbox Parallel Computing Toolbox Instructions Download the folder containing the main code (ExoCT_code.m), the parameter setting with two example settings (User_setting_ex1.m and User_setting_ex2.m), the folder ‘/Functions’ containing the supporting functions (FDK.p, Filtering.p, Geometry_initialization.p, Stack_saving.p), and two sinograms contained in the folder ‘/Sinograms’ to be used with the user setting examples (PP1_sino.tif and PP3_sino.tif). Define parameters in User_setting_*.m, in detail: param.sinogram: filename or full path in case the folder containing the sinogram is different from “Sinogram” folder provided param.horizontal: “true” if the angle of projections varies along the horizontal axis, “false” if along the vertical axis param.log: “true” if the sinogram pixel values are expressed as logarithm, “false” otherwise param.gpu: “1” to enable the use of GPU, “0” to disable it param.px_size: pixel size in millimeters param.DSD: source-detector distance in millimeters param.DSO: source-object distance in millimeters param.tot_angle: total scanning angle param.dir: “-1” if the gantry rotates counterclockwise, “1” if the gantry rotates clockwise param.PP: number of projections per oscillation period param.amplitude: full amplitude oscillation in millimeters param.vx: voxel size along x axis in millimeters param.vy: voxel size along y axis in millimeters param.vz: voxel size along z axis in millimeters param.filter: the available filters are “ram-lak”, “shepp-logan”, “cosine”, “hamming”, “hann” param.save: “true” to save the reconstructed volume, “false” otherwise. Run ExoCT_code.m The output volume will be saved in the dedicated subdirectory Reconstructed_volume. Each of the reconstructed axial slice will be saved as a separate 32-bit ASCII file

iPSC Gene Editing

Although both the iPSC and CRISPR technologies have advanced considerably recently, handling of iPSCs throughout the genome engineering process requires a special skill set for accurate genetic modification while maintaining the health and pluripotency of iPSC lines. This is where Creative Bioarray's expertise lies

Dataset related to article "Telerehabilitation for Stroke: A Personalized Multi-Domain Approach in a Pilot Study"

Dataset description available on the downloadable file

SOLAR MODULATION OF GALACTIC COSMIC RAYS WITH HELMOD-4

Solar Modulation is a decrease in galactic cosmic rays (GCR) intensity with respect to the Local Interstellar Spectrum (LIS, i.e., the spectra at the border of the heliosphere) typically at energies lower than 30 GeV/Nucl. The intensity varies with time and is anti-correlated with solar activity at these energies. This process is described by Parker’s Equation, a Fokker-Plank-like equation that includes diffusion, convection, and energy loss of GCR propagating within the Heliosphere. Modulated omnidirectional intensities of GCRs were observed during different solar activity phases using both balloon flights and space-borne missions, in particular, during the latest solar cycles. The increased performance of on-board spectrometers was and is currently enabling to enhance the accuracy of the observed spectra. Thus, it was opening the way to a more in-depth understanding of processes related to the transport of GCRs through the Heliosphere and, ultimately, to the capability (a) to unveil LIS of GCR species; (b) to investigate their generation, acceleration, and diffusion process within the Milky Way; (c) to possibly untangle features due to new physics — i.e., dark matter — or additional astrophysical sources so far not considered. HelMod-4 Code was developed to solve the Parker Equation inside the Heliosphere using a Monte Carlo approach. The HelMod-4 model balances complexity with user accessibility. It assesses GCR spectrum variations during different solar phases, with recent updates emphasizing solar cycle 24. This model is valuable for forecasting space radiation environments and understanding CR propagation through the heliosphere. A joint effort between GALPROP and HelMod-4 codes combines CR source and propagation models with solar modulation effects, allowing us to infer LISs and, by comparison with experimental data, to exploit structures and unexpected excess in the GCR spectra. A summary of relevant results from this joint effort is then presented and discussed

Report on Machine Learning techniques for astrophysical analyses - versione 1

Report sulle tecniche di Machine Learning per analisi astrofisiche

Note Illustrative della Carta geologica d'Italia alla scala 1:50.000, F. 077 Clusone, Servizio Geologico d'Italia - ISPRA

Note illustrative redatte per il Foglio geologico n. 077 Clusone della Carta Geologica d'Italia alla scala 1:50.000. 232 pp

Il controllo e la validazione dei metadati nel repository istituzionale dell'INFN

Saranno presentate le recenti attività svolte nell’ambito della collaborazione tra Gruppo di lavoro Open Science, CNAF e gruppo DMP (Data Management Plan) dell’INFN in vista della migrazione del repository istituzionale dell’INFN Open Access Repository (OAR) a InvenioRDM (CERN). Focus dell’intervento sarà la customizzazione dei metadati, mediante l’implementazione di metadati specifici, identificando schemi di metadati già strutturati, vocabolari controllati e schemi di classificazione nell’ambito della Fisica. Saranno quindi esaminate le soluzioni identificate e quelle adottate nella customizzazione dei metadati in Open Access Repository, per rispondere alle esigenze dell’utenza di riferimento e dell’ente

Note Illustrative della Carta geologica d'Italia alla scala 1:50.000 F. 180 Salsomaggiore Terme, Servizio Geologico d'Italia - ISPRA

Note illustrative redatte per il Foglio geologico n. 180 Salsomaggiore Terme della Carta Geologica d'Italia alla scala 1:50.000. 112 pp

Dataset related to article "Clinical Predictors for Upper Limb Recovery after Stroke Rehabilitation: Retrospective Cohort Study"

Dataset description available on the downloadable file