1,720,971 research outputs found
Towards Validation and Verification of Autonomous Vision-Based Navigation for Interplanetary Spacecraft
Full text linkBreast cancer and genetics
No full textFamiliar aggregation of breast cancer has been known since Roman times, but it has been discussed in practical terms only from the 19th century. Most of the studies dealing with this issue suggest that the risk is higher in relatives of patients with early onset and that the risk also increases as a function of the bilaterality of the disease or the simultaneous presence of breast cancer and ovarian cancer. A series of epidemiological studies consistently suggest hereditary autosomal dominant transmission with reduced penetrance. Previous epidemiological research and collection of data from families has been used only from the 1990s in order to identify disease genes. The BRCA1 gene was identified as the first gene responsible for hereditary forms of breast cancer and subsequently BRCA2. In 1995 both genes were identified and cloned, and they demonstrated to have only minimal homology. The conclusions deal with genetic counseling and the evaluation of the risk of developing cancer
RETINA: a Highly-Versatile Optical Facility for Camera-In-the-loop Testing of Spaceborne Vision-Based Sensors
Full text linkAutonomous Vision-Based Navigation for Deep-Space CubeSats: Algorithm Development and Hardware Validation
Full text linkACVRL1 (activin A receptor type II-like 1)
No full textActivin A receptor, type II-like kinase 1 (ALK1 is a
serine-threonine kinase) predominantly expressed
on endothelial cells surface. Mutations in its
ACVRL1 encoding gene (12q11-14) cause type 2
Hereditary Haemorrhagic Telangiectasia (HHT2),
an autosomal dominant multisystem vascular
dysplasia. Its involvement in cancer
neoangiogenesis has lead to the recent development
of novel anti-cancer drugs, which are now in
clinical trials
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The EXTREMA Simulation Hub: Advancements in the Development of an Integrated Hardware-In-the-loop Facility for Autonomous Cubesats GNC Technologies
Full text linkThe EXTREMA (Engineering Extremely Rare Events in Astrodynamics for Deep- Space Missions in Autonomy) is an ERC-funded project with the goal of enabling CubeSats with autonomous GNC capabilities. The project has received a Consolidator Grant from the European Research Council, a prestigious acknowledgment that funds cutting-edge and disruptive innovation research in Europe. EXTREMA aims to reach its goal by building on three pillars: Autonomous Navigation, Autonomous Guidance, and Autonomous Ballistic capture. Each pillar is associated with a hardware-supported experiment, and the research outcomes are channeled into the EXTREMA Simulation Hub (ESH), a facility in which autonomous algorithms and techniques are to be tested within an integrated hardware-in-the-loop simulation involving both on-board systems and testing support facilities. This work aims to present the advancements in the development of the ESH. In the first part, the progress in the development of the hardware facilities RETINA, an optical facility; ETHILE, a thrust test bench; and STASIS, a spacecraft attitude simulator are illustrated, focusing on the challenges and the adopted solutions. Then, the EXTREMA orbital propagator, SPESI, is presented. SPESI is a high-fidelity, stochastic numerical integrator whose task is to collect all the quantities of interest from the surrounding simulation environment and propagate the state of the simulated spacecraft, along with the associated uncertainties. To do so, SPESI is equipped with a real-time stochastic orbital propagator that guarantees the computation of the spacecraft state in a hard-real-time fashion, keeping the hardware-in-the-loop experiment synchronized. One of the major advancements in realizing the ESH environment is the development of the EXTREMA FlatSat. It consists of a hardware-software stack emulating a typical deep-space probe on-board computer. The software architecture of the EXTREMA FlatSat is described, focusing on the implementation of the flight software, developed with a modular approach in mind that enables quick integration of goal-specific applications and algorithms (such as the guidance optimization and the optical navigation ones) and fast deployment on multiple hardware architectures under a CI/CD framework. Furthermore, the workflow of the EXTREMA Dry Runs is presented. These represent periodic integration tests in which all the advancements carried on in parallel by different teams are integrated and tested on randomly generated mission scenarios. In this context, the EXTREMA Monitoring and Control Application (MoniCA) is also presented, together with the adopted inter-device communication framework. This unified and lightweight solution enables telemetry and status monitoring of all the devices involved in the simulation, enabling at the same time the streamlined development of a user-friendly web-based frontend for the comprehensive monitoring and control of the entire simulation. Eventually, the outcomes of the dry runs are analyzed for a set of significant interplanetary transfers, concluding with a discussion on the potential impacts of the proposed approach and with an outline of the future improvements and roadmap
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