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We thank the referees for helping us improve the paper. The Sardinia Radio Telescope is funded by the Italian Ministry of University and Research (MUR), Italian Space Agency (ASI), and the Autonomous Region of Sardinia (RAS). The Medicina radio telescope is funded by the Italian Ministry of University and Research. Both radio telescopes are operated as National Facilities by the National Institute for Astrophysics (INAF). The Enhancement of the Sardinia Radio Telescope (SRT) for the study of the Universe at high radio frequencies is financially supported by the National Operative Program (Programma Operativo Nazionale - PON) of the Italian Ministry of University and Research "Research and Innovation 2014-2020", Notice D.D. 424 of 28/02/2018 for the granting of funding aimed at strengthening research infrastructures, in implementation of the Action II.1 – Project Proposal PIR01_00010. S. Mulas acknowledges contribution from Italian Space Agency for grant supports ASI/Cagliari University no. 2019-13-HH.0 and no. 2020-34-HH.0 “Studio per lo sviluppo scientifico nell’ambito dell’impiego del Sardinia Radio Telescope in configurazione SDSA, e in configurazione per radioastronomia in collaborazione con l’INAF, per la radioscienza e le osservazioni solari finalizzate ad applicazioni di Space Weather e Fisica Fondamentale”., This technical note describes SUNPIT (SUNdish PIpeline Tool) - the pipeline aimed at the imaging procedure and the data analysis of the radio solar data - and guides the user to properly reduce and analyse the solar data. SUNPIT is designed for radio data acquired with some radio telescopes of the INAF Network: the Sardinia Radio Telescope (SRT), and the Medicina Radio Telescope. The present user manual follows the development of software for solar imaging and data analysis of Active Regions (ARs), performed in the framework of the INAF Proposal "SunDish Project" (PI: A. Pellizzoni). This project has been active since 2018 with the goal of monitoring the solar atmosphere at high radio frequencies (at present 18 - 26 GHz) through single-dish observations. These solar observations will be enhanced through the upgrading of SRT with the new cryogenically cooled receivers, including a 19-feed in Q-band (33 - 50 GHz) and a 16-feed in W-band (75 - 116 GHz), in the context of the National Operative Programme (Programma Operativo Nazionale-PON); this project will provide in the near future an upgrading with the new receivers up to 116 GHz also for the Medicina and Noto Radio Telescopes, to provide the scientific community with the instrumentation suited to the study of the Universe at high radio frequencies. SUNPIT will be suitable for the data of these new forthcoming receivers, when available for the scientific community. SUNPIT produces a complete analysis of a solar map in about one hour, saving a directory which contains images, plots and several tables with the physical information of the solar disk and ARs (brightness temperatures, fluxes and spectral indices, with the respective errors). This pipeline – successfully tested – represents a crucial tool (1) to analyse solar images observed with the radio telescopes of the INAF Network, and (2) for the Space Weather monitoring network and forecast (soon available) along the solar cycle.

This technical note describes the Python package SUNDARA (SUNDish Active Region Analyser), a sophisticated code - fully self-consistent - aimed at the data analysis of solar images. This analysis is crucial for the INAF Proposal "SunDish Project" (PI: A. Pellizzoni), active since 2018 and devoted to imaging and monitoring the solar atmosphere at high radio frequencies (at present 18 - 26 GHz) through single-dish observations with INAF radio telescopes (SRT and Medicina). SUNDARA, characterised by a very user-friendly widget, allows to automatically unearth Active Regions (ARs) across the solar disk (or on its edge) through several algorithms; these ARs are modelled through an elliptical 2D-Gaussian kernel. In little more than 5 minutes, SUNDARA produces a complete analysis of a solar map, saving a directory containing images, plots and several tables with physical information of the solar disk and ARs (brightness temperatures, fluxes and spectral indices, with respective errors). A deeper analysis (that can be completed in a few hours) is possible thanks to a Bayesian approach based on Markov Chain MonteCarlo (MCMC) simulations. Moreover, these identified ARs are automatically associate in position with the detected ARs at other observing frequencies, reported in the Heliophysics Event Knowledgebase (HEK) used by the astrophysics and solar physics communities. SUNDARA has been successfully tested on a large amount of data from solar maps implemented with the radio telescopes of the INAF Network. For the purposes of this technical note, we report only two cases (one for Medicina, and one for SRT). This Python package constitutes a crucial tool for the INAF Network to analyse solar images (the Space Weather monitoring network and forecast along the solar cycle will be soon available), and to provide a complete overview of the astrophysical phenomena.

Following to the Astronomical Validation report n°6 (AV-rep-006; Egron et al. 2015) dedicated to the C-band imaging performances of SRT through the observation of two Supernova Remnants (3C157 and W44), this second note is devoted to the calibration of the resulting maps.

We report on observations of Supernova Remnants (SNR) with SRT in the frame of Astronomical Validation (AV) test activities. These tests are aimed to assess single-dish imaging performances of “SRT first light receivers” coupled with Total Power (TP) backend and related hw/sw subsystems/procedures (including innovative ad hoc imaging techniques based on OTF scans).

In the brain, D-amino acid oxidase plays a key role in modulating the N-methyl-D-aspartate receptor (NMDAR) activation state, catalyzing the stereospecific degradation of the coagonist D-serine. A relationship between D-serine signaling deregulation, NMDAR dysfunction, and CNS diseases is presumed. Notably, the R199W substitution in human DAAO (hDAAO) was associated with familial amyotrophic lateral sclerosis (ALS), and further coding substitutions, i.e., R199Q and W209R, were also deposited in the single nucleotide polymorphism database. Here, we investigated the biochemical properties of these different hDAAO variants. The W209R hDAAO variant shows an improved D-serine degradation ability (higher activity and affinity for the cofactor FAD) and produces a greater decrease in cellular D/(D + L) serine ratio than the wild-type counterpart when expressed in U87 cells. The production of H2O2 as result of excessive D-serine degradation by this hDAAO variant may represent the factor affecting cell viability after stable transfection. The R199W/Q substitution in hDAAO altered the protein conformation and enzymatic activity was lost under conditions resembling the cellular ones: this resulted in an abnormal increase in cellular D-serine levels. Altogether, these results indicate that substitutions that affect hDAAO functionality directly impact on D-serine cellular levels (at least in the model cell system used). The pathological effect of the expression of the R199W hDAAO, as observed in familial ALS, originates from both protein instability and a decrease in kinetic efficiency: the increase in synaptic D-serine may be mainly responsible for the neurotoxic effect. This information is expected to drive future targeted treatments. (C) 2015 Elsevier B.V. All rights reserved.