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Joint Observation of the Galactic Center with MAGIC and CTA-LST-1

MAGIC is a system of two Imaging Atmospheric Cherenkov Telescopes (IACTs), designed to detect very-high-energy gamma rays, and is operating in stereoscopic mode since 2009 at the Observatorio del Roque de Los Muchachos in La Palma, Spain. In 2018, the prototype IACT of the Large-Sized Telescope (LST-1) for the Cherenkov Telescope Array, a next-generation ground-based gamma-ray observatory, was inaugurated at the same site, at a distance of approximately 100 meters from the MAGIC telescopes. Using joint observations between MAGIC and LST-1, we developed a dedicated analysis pipeline and established the threefold telescope system via software, achieving the highest sensitivity in the northern hemisphere. Based on this enhanced performance, MAGIC and LST-1 have been jointly and regularly observing the Galactic Center, a region of paramount importance and complexity for IACTs. In particular, the gamma-ray emission from the dynamical center of the Milky Way is under debate. Although previous measurements suggested that a supermassive black hole Sagittarius A* plays a primary role, its radiation mechanism remains unclear, mainly due to limited angular resolution and sensitivity. The enhanced sensitivity in our novel approach is thus expected to provide new insights into the question. We here present the current status of the data analysis for the Galactic Center joint MAGIC and LST-1 observations

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

The value of fluorimetry (Qubit) and spectrophotometry (NanoDrop) in the quantification of cell-free DNA (cfDNA) in malignant melanoma and prostate cancer patients

Background Circulating cell-free tumor DNA (cfDNA) is of crucial interest in oncology. cfDNA constitutes a potential prognostic and therapeutic marker for different solid tumors and can be used in the diagnostic and therapeutic management of cancer patients for which nowadays there are no valid laboratory markers. In the present study, the quality and quantity of the cfDNA were assessed by different quantification procedures, in order to identify the potential applications of these techniques in the preliminary cfDNA quantification. Methods Qubit with single (ss) and double strand (ds) DNA assay kits, NanoDrop and quantitative Real Time PCR (qPCR), were adopted to assess the cfDNA in the blood samples of 18 melanoma patients, 67 prostate cancer patients and 15 healthy controls. Results The quantification by NanoDrop (average value 8.48 ng/μl, 95% confidence limit (CL) = 7.23–9.73), Qubit ssDNA (average value 23.08 ng/μl, CL = 19.88–26.28), dsDNA (average value 4.32 ng/μl, CL = 3.52–5.12) assay kits and qPCR (average value 0.39 ng/μl, CL = 0.31–0.47) revealed differences among the four procedures. Qubit 2.0 ss-DNA kit gave higher cfDNA concentration values for all the samples analyzed. In detail, Qubit ssDNA assay revealed higher sensitivity in the quantification of small amounts of pure ss-DNA and ds-DNA, while NanoDrop allowed the assessment of the purity of cfDNA samples. Conclusions The NanoDrop and Qubit 2.0 measurements were analyzed in order to define their correlation with qPCR cfDNA assessment, showing good correlation values with the qPCR that should be considered the “gold standard”. In our proposal, the sequential combination of NanoDrop and Qubit ssDNA methods should be adopted for a cost-effective preliminary assessment of total circulating cfDNA in melanoma and prostate cancer patients, and only discordant values should undergo qPCR assessment

The ENERGY ECS Project: Smart and Secure Energy Solutions for Future Mobility

Electric and smart mobility are key enablers for their green energy transition. However, the electrification of vehicles poses several challenges, from the development of power components to the organization of the electric grid system. Moreover, it is expected that the smartification of mobility via sensors and novel transport paradigms will play an essential role in the reduction of the consumed energy. In response to these challenges and expectations, the ENERGY ECS project is pursuing smart and secure energy solutions for the mobility of the future, by developing power components, battery charging electronics, and self-powered sensors for condition monitoring, along with advanced techniques for grid management, applications of artificial intelligence, machine learning and immersing technologies. This paper presents the project’s objectives and reports intermediate results from the perspective of the targeted use cases

Performance of the Large-Sized Telescope prototype of the Cherenkov Telescope Array

The next-generation ground-based gamma-ray Cherenkov Telescope Array Observatory (CTAO) will consist of imaging atmospheric Cherenkov telescopes (IACTs) of three different sizes distributed in two sites. The Large-Sized Telescopes will cover the low-energy end of the CTA energy range, starting at about 20 GeV. After its first years of operation at the CTA northern site, the Large-Sized Telescope prototype (LST-1) is in the final stage of its commissioning phase, having collected a significant amount of scientific data to date.In this contribution, we present the physics performance of the telescope using low-zenith Crab Nebula observations and Monte Carlo simulations fine-tuned accordingly. We show performance figures of merit such as the energy threshold, effective area, energy and angular resolution, and sensitivity based on the standard Hillas-parameters approach and following the source-independent and dependent analysis methods. The analysis threshold is estimated at 30 GeV. The energy resolution is around 30%, and the angular resolution is 0.3 degrees at 100 GeV.The best integral sensitivity of LST-1 is about 1.1% of the Crab Nebula flux above 250 GeV for 50 hours of observations. We also show the spectral energy distribution and light curve from Crab Nebula observations, which agree with results from other IACTs and link smoothly with Fermi-LAT when considering statistical and systematic uncertainties near the energy threshold