1,721,609 research outputs found
Adaptive Optics for industry and science
I report development in deformable mirror technology we made in my PhD course. Push Pull membrane mirror was realized for the first time. Application od membrane mirrors in Visual Optics, free space communication, ultrafast pulse compression and bimorph mirrors for high energy femtosecond laser were reported
Infezione da HIV: trattamento del paziente naïve
Recently, the approach to initial therapy in naive patients has profoundly changed. The trend in 2008 suggests that HAART be started earlier than previously held. HAART should also be considered in selected patients with a CD4(+) count falling in the range 350-400 cells/microliter and in all subjects with a TCD4 (+) lower than 350 cells/microliter. Initial HAART provides a sufficiently broad range of choices, undoubtedly destined to further improve in the near future. However, such a choice has to take into account the patient's specific requirements and clinical picture, including comorbidity, risk factors for cardiovascular metabolic complications, simplicity and convenience of therapeutic regimen, and long-term tolerability
Pharmacokinetic and pharmacodynamic evaluation of raltegravir and experience from clinical trials in HIV-positive patients
Raltegravir was the first available integrase inhibitor for treating HIV-positive patients. This review aims to provide an overview of its role in the management of HIV-1 infection, highlighting its key pharmacokinetic and pharmacodynamic properties
Development of a CPU-based architecture for high performance adaptive optics systems
A basic Adaptive Optics setup is composed of three key elements: a wavefront sensor to detect the aberrations; a deformable mirror to correct such aberrations; and a closed loop control system connecting both sensor and deformable mirror in order to reduce the aberrations. The control system can be realized by the use of a dedicated platform such as an FPGA or GPU, because dedicated hardware can guarantee higher performances than software written for generic architecture such as CPU [1][2]. On the other hand, such solutions need more development time and hardware than a CPU-based approach, thus being more expensive both towards the developer and the end user. Moreover they are not
flexible, operating on a strict selection of hardware. The proposed solution aims to becost-effective adaptive optics setup. It is a CPU-based approach that relies on Qt, which is a cross-platform application, and UI framework [3]. By using Qt Creator, an IDE specifically designed to work with Qt, the development effort is greatly reduced:natively manages both code and GUI, and, given the required toolchains, it can be easily compiled in many different platforms, without source differentiation. The source written and compiled in C++ language, so that it runs fast with minimum overhead from the Qt classes. We demonstrate that the system can operate in real time at more than 100Hz frequency
Instrumentation for analysis and utilization of extreme- ultraviolet and soft x-ray high-order harmonics
Further considerations on the use of cerebrospinal fluid C-X-C motif chemokine ligand 13 in the diagnosis of neurosyphilis among people with HIV
Efficient implementation of the Shack-Hartmann centroid extraction for edge computing
Adaptive optics (AO) is an established technique to measure and compensate for optical aberrations. One of its key components is the wavefront sensor (WFS), which is typically a Shack-Hartmann sensor (SH) capturing an image related to the aberrated wavefront. We propose an efficient implementation of the SH-WFS centroid extraction algorithm, tailored for edge computing. In the edge-computing paradigm, the data are elaborated close to the source (i.e., at the edge) through low-power embedded architectures, in which CPU computing elements are combined with heterogeneous accelerators (e.g., CPUs, field-programmable gate arrays). Since the control loop latency must be minimized to compensate for the wavefront aberration temporal dynamics, we propose an optimized algorithm that takes advantage of the unified CPU/GPU memory of recent low-power embedded architectures. Experimental results show that the centroid extraction latency obtained over spot images up to 700 x 700 pixels wide is smaller than 2 ms. Therefore, our approach meets the temporal requirements of small- to medium-sized AO systems, which are equipped with deformable mirrors having tens of actuators. (C) 2020 Optical Society of Americ
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