NEARBY Platform: Algorithm for Automated Asteroids Detection in Astronomical Images

In the past two decades an increasing interest in discovering Near Earth Objects has been noted in the astronomical community. Dedicated surveys have been operated for data acquisition and processing, resulting in the present discovery of over 18.000 objects that are closer than 30 million miles of Earth. Nevertheless, recent events have shown that there still are many undiscovered asteroids that can be on collision course to Earth. This article presents an original NEO detection algorithm developed in the NEARBY research object, that has been integrated into an automated MOPS processing pipeline aimed at identifying moving space objects based on the blink method. Proposed solution can be considered an approach of Big Data processing and analysis, implementing visual analytics techniques for rapid human data validation.Comment: IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Sep 6-8, 2018, Cluj-Napoca, Romani

NEARBY Platform for Detecting Asteroids in Astronomical Images Using Cloud-based Containerized Applications

The continuing monitoring and surveying of the nearby space to detect Near Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of the threats that this kind of objects impose on the future of our planet. We need more computational resources and advanced algorithms to deal with the exponential growth of the digital cameras' performances and to be able to process (in near real-time) data coming from large surveys. This paper presents a software platform called NEARBY that supports automated detection of moving sources (asteroids) among stars from astronomical images. The detection procedure is based on the classic "blink" detection and, after that, the system supports visual analysis techniques to validate the moving sources, assisted by static and dynamical presentations.Comment: IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romani

Albanian grapevine cultivars: preliminary results of molecular, phenolic and ampelometric profiles and relatedness

'Shesh i Zi', 'Shesh i Bardhë', 'Kallmet' and 'Vlosh' are commercialised grapevine wine varieties which best represent the high variability of the Albanian autochthonous germplasm because of their different origin within the country and their great wine potential. We characterised these cultivars at molecular, phenolic and ampelometric level as well as assessing their relatedness. The leaves were scanned and images were analyzed using SuperAmpelo, which allows to measure leaves, clusters, berries, and seeds, and to record the main descriptive ampelographic characters, including carpometric indices. The content of total anthocyanins, total flavonoids, non-anthocyanic flavonoids, proanthocyanidins and total polyphenols were determined in the extracts of the grape skins and seeds of 10 berries from each of 10 representative clusters as well as in samples of one year old wines. For the molecular characterization, 10 SSR loci were used. The similarity of cultivars was studied by applying the Ward's method for hierarchical clustering along with other Albanian genotypes. This work has completed and made more accurate the existing ampelographic descriptions found in literature with the aim to valorize these autochthonous cultivars, which could represent a valuable instrument for improving the local economies

2002-2003 Master Class - Sergiu Schwartz (Violin) Playing to Win

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Characterization of main grapevine varieties of Albania and Kosovo based on molecular data

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Patient Safety in the Critical Care Setting: Common Risks and Review of Evidence-Based Mitigation Strategies

The Intensive Care Unit (ICU) has evolved in the last 50 years. This evolution’s main drivers include equipment and software improvements, the patient safety movement, and a better pathophysiological understanding of critical illness. There is mounting pressure from accreditation agencies, governmental regulation, financial challenges, operational dynamics, staffing changes, and increased acuity affecting-ICU care delivery and impacting patient safety. There are higher than ever expectations to improve clinical outcomes after an intensive care stay, to enhance patient safety, to increase family involvement in decision making, and merge the multidisciplinary medical experience into an effective teamwork. Leadership focus is directed towards increasing diversity and inclusion in the workforce while enhancing psychological safety. This review addresses the common risks for patient safety in the intensive care setting and describes the changes in mindset and application of evidence-based mitigation strategies